Download - TransformasiStruktural, Penurunan
Transformasi Struktural, PenurunanKemiskinan dan KesenjanganPendapatan
Mohamad IkhsanLPEM FEBUI
Beberapa indikator ekonomi dan sosialTabel 1Indonesia: Indikator Sosial Ekonomi 1960an - terkini
1960 1970 1980 1990 2000 2010 terkini*)EkonomiPDB per kapita (2010USD) 577 660 1096 1653 2143 3125 3956PDB per kapita (harga konstan dan 1960=100) 100 114 190 286 371 542 686PDB per Kapita (current USD) 54 81 517 620 773 2951 3605Konsumsi RT per kapita (2000 USD) 104 123 178 310 477 648 671Indeks Produksi Pangan (1961=100) 100 134 193 309 385 603 na
SosialAngka Harapan Hidup (tahun) 45.1 51.8 57.8 62.1 65.7 68.9 69.1Tingkat Kematian bayi (per 1000 kelahiran) 128.1 102.5 75.7 54.1 37.6 25.8 22.8Angka Kematian Kasar ( per 1000 orang) 20.1 14.6 10.6 8.4 7.4 7.0 6.9Tingkat Buta Huruf orang Dewasa (% penduduk) 57.1 39.1 28.8 15.9 10.1 7.4 naExpected Years of Schooling (tahun) na na 8.7 10.4 11.1 12.0 12.9Mean years of Schooling (tahun) na na 3.1 3.3 4.8 5.8 7.9Human Development Index (Indeks=100) na na 42.3 48.1 54.3 61.3 68.9
Sumber: BPS, Bank Dunia dan UNDP Database
Sheet1
Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 |
Agricultural machinery, tractors | AG.AGR.TRAC.NO | 50 | 50 | 50 | 50 | 100 | 100 | 100 | 100 | 100 | 150 | 150 | 150 | 150 | 155 | 210 | 240 | 510 | 1820 | 1820 | 2100 | 2745 | 3390 | 3390 | 3652 | 3915 | 4175 | 4048 | 4316 | 4620 | 4524 | 4997 | 5470 | 5942 | 6033 | 6124 | 5139 | 4483 | 4656 | 4335 | 4013 | |||||||||||||
Fertilizer consumption (% of fertilizer production) | AG.CON.FERT.PT.ZS | 111.6578523592 | 111.0242971584 | 123.1850403231 | 102.5829930627 | 109.0276061748 | 112.1928849209 | 117.5629560961 | 110.9188729708 | 113.4576141827 | ||||||||||||||||||||||||||||||||||||||||||||
Fertilizer consumption (kilograms per hectare of arable land) | AG.CON.FERT.ZS | 123.9590657836 | 131.1321521021 | 131.2093975513 | 150.5473434795 | 158.0160930233 | 168.1390909091 | 183.2418061674 | 181.3542372881 | |||||||||||||||||||||||||||||||||||||||||||||
Agricultural land (sq. km) | AG.LND.AGRI.K2 | 386000 | 386000 | 385500 | 385500 | 385000 | 384500 | 384500 | 384500 | 384000 | 384000 | 383500 | 383500 | 383000 | 383000 | 382560 | 380460 | 380460 | 380460 | 380000 | 380000 | 379500 | 379500 | 379000 | 370520 | 396790 | 412920 | 434850 | 441370 | 444350 | 450830 | 415240 | 413510 | 420160 | 419710 | 421870 | 421630 | 427220 | 429220 | 439230 | 456770 | 463000 | 468810 | 494060 | 517660 | 492460 | 502000 | 510000 | 520000 | 536000 | ||||
Agricultural land (% of land area) | AG.LND.AGRI.ZS | 21.307484668 | 21.307484668 | 21.2798842993 | 21.2798842993 | 21.2522839305 | 21.2246835618 | 21.2246835618 | 21.2246835618 | 21.197083193 | 21.197083193 | 21.1694828243 | 21.1694828243 | 21.1418824555 | 21.1418824555 | 21.1175941311 | 21.0016725823 | 21.0016725823 | 21.0016725823 | 20.9762802431 | 20.9762802431 | 20.9486798744 | 20.9486798744 | 20.9210795056 | 20.4529772518 | 21.9031006254 | 22.793488521 | 24.004040694 | 24.3639495024 | 24.5284477001 | 24.8861484789 | 22.921554232 | 22.8260569561 | 23.1931418604 | 23.1683015285 | 23.2875351215 | 23.2742869445 | 23.582859067 | 23.693260542 | 24.2458199242 | 25.2140408596 | 25.5579414541 | 25.8786577389 | 27.2724763603 | 28.5752137649 | 27.1841551803 | 27.7107702159 | 28.1523761157 | 28.7043834906 | 29.5875952903 | ||||
Arable land (hectares) | AG.LND.ARBL.HA | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18021000 | 19500000 | 20178000 | 21170000 | 21156000 | 20860000 | 20253000 | 18081000 | 18100000 | 18129000 | 17126000 | 17342000 | 17941000 | 18500000 | 18700000 | 19700000 | 20500000 | 20200000 | 20081000 | 22406000 | 24666000 | 21946000 | 21500000 | 22000000 | 22700000 | 23600000 | ||||
Arable land (hectares per person) | AG.LND.ARBL.HA.PC | 0.1910305409 | 0.186369666 | 0.1817847077 | 0.1772721416 | 0.1728331353 | 0.1684765194 | 0.1642144687 | 0.1600554731 | 0.1560075085 | 0.1520761692 | 0.1482631552 | 0.1445693209 | 0.1409969974 | 0.137547965 | 0.1342222565 | 0.1310214597 | 0.1279426344 | 0.1249768099 | 0.1221136398 | 0.1193475318 | 0.1166744446 | 0.1140984913 | 0.1116308949 | 0.1094125257 | 0.1159891253 | 0.1176749522 | 0.1211324454 | 0.1188493923 | 0.1151227603 | 0.1098640963 | 0.0964567958 | 0.0950069187 | 0.0936775057 | 0.0871603412 | 0.0869707649 | 0.0887039585 | 0.0902159716 | 0.0899733649 | 0.0935374741 | 0.0960657959 | 0.0934304953 | 0.0916830264 | 0.1010010695 | 0.1098187123 | 0.0965494653 | 0.0935113773 | 0.0946392272 | 0.0966158268 | 0.0994042087 | ||||
Arable land (% of land area) | AG.LND.ARBL.ZS | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9477249016 | 10.764143809 | 11.1384048091 | 11.6859961249 | 11.6782680217 | 11.5148738387 | 11.1798053622 | 9.9808453441 | 9.9913334842 | 10.0073416981 | 9.4536783011 | 9.5729118941 | 9.9035643116 | 10.2121364341 | 10.3225379091 | 10.8745452839 | 11.3161511838 | 11.1505489713 | 11.0848600937 | 12.3682772402 | 13.6158139073 | 12.1143538478 | 11.8681585586 | 12.144162246 | 12.5305674084 | 13.0273740457 | ||||
Land under cereal production (hectares) | AG.LND.CREL.HA | 9319000 | 10458000 | 9290000 | 10626000 | 9834000 | 11469000 | 10063000 | 11240780 | 10448440 | 11073690 | 10951020 | 10057690 | 11836770 | 11175470 | 10939970 | 10463810 | 10926080 | 11953780 | 11397180 | 11740010 | 12336880 | 11049760 | 12164700 | 12849830 | 12342260 | 13131210 | 12548620 | 13543950 | 13475400 | 13660490 | 13190600 | 14732650 | 13952330 | 13843200 | 15090640 | 15313270 | 14495820 | 15564020 | 15419560 | 15293000 | 14785900 | 14648030 | 14835910 | 15279910 | 15465090 | 15132210 | 15777920 | 16312510 | 17044260 | 17387450 | |||
Permanent cropland (% of land area) | AG.LND.CROP.ZS | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.3680343569 | 4.5976694249 | 4.9084495769 | 5.229717869 | 5.6646996804 | 5.6757398279 | 6.4695264329 | 6.4673184034 | 6.321036449 | 6.6721131394 | 7.2009362045 | 7.2009362045 | 7.2009362045 | 7.2009362045 | 7.2009362045 | 7.2014882119 | 7.7281032475 | 8.2801106223 | 8.6665157847 | 8.8321179971 | 8.8873187346 | 8.9977202095 | 9.7705305343 | 9.9361327467 | 10.1017349592 | 10.4881401216 | ||||
Land area where elevation is below 5 meters (% of total land area) | AG.LND.EL5M.ZS | 5.497674 | 5.497674 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Forest area (sq. km) | AG.LND.FRST.K2 | 1185450 | 994090 | 978570 | 944320 | |||||||||||||||||||||||||||||||||||||||||||||||||
Forest area (% of land area) | AG.LND.FRST.ZS | 65.4377142479 | 54.8745011233 | 54.0177856776 | 52.1271604189 | |||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural irrigated land (% of total agricultural land) | AG.LND.IRIG.AG.ZS | 16.5290842772 | 11.7495850706 | 14.8669010547 | 16.0134833286 | |||||||||||||||||||||||||||||||||||||||||||||||||
Average precipitation in depth (mm per year) | AG.LND.PRCP.MM | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | |||||||||||||||||||||||||||||||||||||||||
Land area (sq. km) | AG.LND.TOTL.K2 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | |||
Agricultural machinery, tractors per 100 sq. km of arable land | AG.LND.TRAC.ZS | 0.0277777778 | 0.0277777778 | 0.0277777778 | 0.0277777778 | 0.0555555556 | 0.0555555556 | 0.0555555556 | 0.0555555556 | 0.0555555556 | 0.0833333333 | 0.0833333333 | 0.0833333333 | 0.0833333333 | 0.0861111111 | 0.1166666667 | 0.1333333333 | 0.2833333333 | 1.0111111111 | 1.0111111111 | 1.1666666667 | 1.525 | 1.8833333333 | 1.8833333333 | 2.0265246102 | 2.0076923077 | 2.0690851422 | 1.9121398205 | 2.0400831915 | 2.2147651007 | 2.2337431492 | 2.7636745755 | 3.0220994475 | 3.2776214904 | 3.5227140021 | 3.5313112674 | 2.8643888301 | 2.4232432432 | 2.4898395722 | 2.2005076142 | 1.9575609756 | |||||||||||||
Cereal production (metric tons) | AG.PRD.CREL.MT | 14367100 | 16246900 | 13952800 | 16074600 | 15339500 | 17367400 | 15591100 | 20328850 | 20313080 | 22156220 | 22796490 | 21647980 | 25179300 | 25483780 | 25242090 | 25873040 | 26489750 | 29800800 | 29888240 | 33642840 | 37283500 | 36818530 | 40389880 | 43424230 | 43362400 | 45647170 | 45233880 | 48328120 | 50918110 | 51912830 | 50944110 | 56235460 | 54640840 | 53510380 | 57990000 | 60408920 | 58147950 | 59406200 | 60070440 | 61575000 | 59808000 | 61074980 | 63024000 | 65313700 | 66675000 | 66064400 | 70444900 | 76575000 | 82028600 | 84775900 | |||
Crop production index (2004-2006 = 100) | AG.PRD.CROP.XD | 21.31 | 22.66 | 21.56 | 22.83 | 22.92 | 23.6 | 22.74 | 26.12 | 26.62 | 28.17 | 28.8 | 28.76 | 31.23 | 32.53 | 31.85 | 31.6 | 32.96 | 35.18 | 36.91 | 39.92 | 42.73 | 42.01 | 45.08 | 48.93 | 49.99 | 52.48 | 53.23 | 56.28 | 59.33 | 61.82 | 62.49 | 68.19 | 68.86 | 69.45 | 75.64 | 75.62 | 72.67 | 74.08 | 75.65 | 77.91 | 79.49 | 84.53 | 90.29 | 95.93 | 100 | 104.06 | 107.95 | 115.2 | 122.2 | 122.17 | |||
Food production index (2004-2006 = 100) | AG.PRD.FOOD.XD | 20.19 | 21.61 | 20.42 | 21.95 | 21.82 | 22.44 | 21.65 | 24.93 | 25.25 | 26.98 | 27.85 | 27.79 | 30.23 | 31.74 | 31.12 | 30.79 | 32.18 | 34.26 | 35.76 | 38.87 | 41.67 | 41.52 | 44.65 | 48.65 | 49.75 | 52.75 | 53.56 | 56.62 | 59.98 | 62.43 | 63.51 | 69.48 | 70.58 | 71.92 | 77.34 | 77.59 | 74.84 | 74.63 | 75.16 | 77.81 | 79.56 | 85.29 | 91.15 | 96.69 | 99.52 | 103.79 | 107.09 | 113.54 | 120.78 | 121.75 | |||
1 | 1.0703318474 | 1.0113917781 | 1.0871718673 | 1.0807330362 | 1.1114413076 | 1.0723130263 | 1.234769688 | 1.2506191184 | 1.3363051015 | 1.3793957405 | 1.3764239723 | 1.4972758791 | 1.5720653789 | 1.5413571075 | 1.5250123824 | 1.5938583457 | 1.6968796434 | 1.7711738484 | 1.9252105002 | 2.0638930163 | 2.0564635958 | 2.211490837 | 2.4096087172 | 2.4640911342 | 2.6126795443 | 2.6527984151 | 2.8043585934 | 2.9707776127 | 3.0921248143 | 3.1456166419 | 3.441307578 | 3.495789995 | 3.5621594849 | 3.8306092125 | 3.84299158 | 3.7067855374 | 3.6963843487 | 3.7226349678 | 3.8538880634 | 3.940564636 | 4.2243684993 | 4.5146111937 | 4.7890044577 | 4.9291728579 | 5.1406636949 | 5.304110946 | 5.6235760277 | 5.9821693908 | 6.0302129767 | |||||
Livestock production index (2004-2006 = 100) | AG.PRD.LVSK.XD | 16.9 | 17.7 | 17.7 | 18.43 | 18.67 | 18.3 | 18.18 | 19.43 | 19.53 | 21.67 | 22.44 | 23.58 | 24.14 | 25.56 | 26.07 | 27.16 | 27.48 | 28.33 | 30.68 | 32.72 | 34.35 | 36.31 | 40.82 | 43.79 | 46.56 | 51.83 | 53.35 | 55.45 | 58.67 | 62.8 | 66.72 | 71.31 | 76.84 | 82.45 | 79.52 | 83.34 | 83.05 | 72.77 | 68.65 | 74.36 | 80.44 | 89.8 | 94.51 | 99.41 | 95.37 | 105.22 | 104.71 | 106.02 | 110.42 | 119.25 | |||
Surface area (sq. km) | AG.SRF.TOTL.K2 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | |||
Cereal yield (kg per hectare) | AG.YLD.CREL.KG | 1541.7 | 1553.5 | 1501.9 | 1512.8 | 1559.8 | 1514.3 | 1549.3 | 1808.5 | 1944.1 | 2000.8 | 2081.7 | 2152.4 | 2127.2 | 2280.3 | 2307.3 | 2472.6 | 2424.5 | 2493 | 2622.4 | 2865.7 | 3022.1 | 3332.1 | 3320.3 | 3379.4 | 3513.3 | 3476.2 | 3604.7 | 3568.2 | 3778.6 | 3800.2 | 3862.2 | 3817.1 | 3916.3 | 3865.5 | 3842.8 | 3944.9 | 4011.4 | 3816.9 | 3895.7 | 4026.4 | 4044.9 | 4169.5 | 4248.1 | 4274.5 | 4311.3 | 4365.8 | 4464.8 | 4694.3 | 4812.7 | 4875.7 | |||
Trade in services (% of GDP) | BG.GSR.NFSV.GD.ZS | 5.8903120198 | 5.6654075059 | 5.6894054215 | 5.4889465972 | 6.8457488671 | 6.3701700087 | 7.2501352775 | 6.7295415479 | 7.209093432 | 7.4668019611 | 7.3232008077 | 8.259997192 | 8.7369629928 | 9.1654718205 | 9.4042491596 | 9.5606418706 | 10.914542299 | 17.3577626378 | 12.1246307301 | 12.6354965114 | 13.3256485233 | 12.1167911479 | 9.6660835766 | 12.8103633817 | 12.2347554405 | 9.0281385206 | 8.5179116824 | 8.5236529408 | 6.6814050033 | 6.0527533497 | 6.2451560756 | ||||||||||||||||||||||
Communications, computer, etc. (% of service imports, BoP) | BM.GSR.CMCP.ZS | 44.1776710684 | 39.5721925134 | 33.8436572489 | 40.4576566171 | 55.0730282376 | 49.7180451128 | 52.2297311712 | 47.7203675206 | 45.2105178158 | 36.1789970938 | 32.5411334552 | 37.8518502716 | 43.9670925858 | 45.9705676244 | 44.7267355982 | 46.3042464628 | 49.900644692 | 48.9987152454 | 52.3380668256 | 51.8087023547 | 52.3366826407 | 48.6508815357 | 52.8427871681 | 88.8582462344 | |||||||||||||||||||||||||||||
Income payments (BoP, current US$) | BM.GSR.FCTY.CD | 4154000000 | 4016000000 | 4281000000 | 4889000000 | 4310000000 | 3948000000 | 4215000000 | 4584000000 | 5109000000 | 5599000000 | 6498000000 | 6482000000 | 6015000000 | 5741000000 | 7180000000 | 7218000000 | 8187000000 | 10098800000 | 10887159139.2405 | 10900883886.076 | 8939900000 | 8365464061.67644 | 7271950421.27491 | 12912256499.5109 | 15264309256.0414 | 16376799712.7186 | 18993820000 | 18747210097.7346 | 17061238334.4782 | 22679589881.3787 | 28144188604.6954 | ||||||||||||||||||||||
Imports of goods and services (BoP, current US$) | BM.GSR.GNFS.CD | 21540000000 | 22716000000 | 22037000000 | 19286000000 | 17840000000 | 16194000000 | 16972000000 | 18437000000 | 21749000000 | 27511000000 | 31398000000 | 34874000000 | 38222000000 | 43738000000 | 54461000000 | 59379000000 | 62830000000 | 44030357373.1649 | 42974513498.0652 | 56002459130.4348 | 50548622608.6956 | 52696767225.6136 | 56946590677.3864 | 71471152278.0404 | 91510592533.2134 | 95261792802.1806 | 109588090000 | 144935614049.389 | 111610160174.319 | 153536398207.794 | 198479478527.581 | ||||||||||||||||||||||
Insurance and financial services (% of service imports, BoP) | BM.GSR.INSF.ZS | 3.8075230092 | 4.220485397 | 4.7459986082 | 3.8877093654 | 2.7108081792 | 3.0310150376 | 3.0495495495 | 3.2609639601 | 3.2579518294 | 3.8688903567 | 4.1453382084 | 3.624691358 | 3.1596587447 | 3.1114225648 | 3.3308714919 | 3.2102516679 | 3.0649726019 | 2.7599767362 | 2.1972021271 | 2.0653552223 | 1.8030710928 | 1.8377948876 | 1.7217404744 | 4.5369963941 | 3.9792592156 | 3.4085970665 | 4.2621826854 | 3.6268310209 | 7.5266780062 | 6.1452697146 | 5.9492847768 | ||||||||||||||||||||||
Goods imports (BoP, current US$) | BM.GSR.MRCH.CD | 16542000000 | 17854000000 | 17726000000 | 15047000000 | 12705000000 | 11938000000 | 12532000000 | 13831000000 | 16310000000 | 21455000000 | 24834000000 | 26774000000 | 28376000000 | 32322000000 | 40921000000 | 44240000000 | 46223000000 | 31942145700 | 30598450000 | 40365376000 | 34668480000 | 35651883593 | 39546174967.4012 | 50614842997.4068 | 69461765038.9556 | 73867847651.2105 | 85259710000 | 116690660761.261 | 88714091162.7571 | 127447053592.315 | 166125121728.288 | ||||||||||||||||||||||
Service imports (BoP, current US$) | BM.GSR.NFSV.CD | 4998000000 | 4862000000 | 4311000000 | 4239000000 | 5135000000 | 4256000000 | 4440000000 | 4606000000 | 5439000000 | 6056000000 | 6564000000 | 8100000000 | 9846000000 | 11416000000 | 13540000000 | 15139000000 | 16607000000 | 12088211673.1649 | 12376063498.0652 | 15637083130.4348 | 15880142608.6957 | 17044883632.6136 | 17400415709.9852 | 20856309280.6336 | 22048827494.2578 | 21393945150.9701 | 24328380000 | 28244953288.1282 | 22896069011.5623 | 26089344615.4793 | 32354356799.2935 | ||||||||||||||||||||||
Royalty and license fees, payments (BoP, current US$) | BM.GSR.ROYL.CD | 990320000 | 960870000 | 872228636.997941 | 1085450000 | 1327681813.9019 | 1530107288.81507 | 1616459043.16398 | 1786437103.75061 | |||||||||||||||||||||||||||||||||||||||||||||
Imports of goods, services and income (BoP, current US$) | BM.GSR.TOTL.CD | 25694000000 | 26732000000 | 26318000000 | 24175000000 | 22150000000 | 20142000000 | 21187000000 | 23021000000 | 26858000000 | 33110000000 | 37896000000 | 41356000000 | 44237000000 | 49479000000 | 61641000000 | 66597000000 | 71017000000 | 54129157373.1649 | 53861672637.3057 | 66903343016.5107 | 59488522608.6956 | 61062231287.29 | 64218541098.6613 | 84383408777.5513 | 106774901789.255 | 111638592514.899 | 128581910000 | 163682824147.124 | 128671398508.798 | 176215988089.173 | 226623667132.277 | ||||||||||||||||||||||
Transport services (% of service imports, BoP) | BM.GSR.TRAN.ZS | 40.0900360144 | 44.6482928836 | 49.3017861285 | 43.5291342298 | 30.7069133398 | 33.8580827068 | 33.2117117117 | 36.1658706036 | 38.2570325427 | 46.1476221929 | 48.5511882998 | 44.1283950617 | 37.2425350396 | 34.2747021724 | 35.9010339734 | 34.6390118238 | 32.5164087433 | 30.8568545795 | 26.4538411137 | 25.6835100504 | 24.4139643035 | 30.2138652567 | 27.721039339 | 26.2439632779 | 33.7920413455 | 38.2390271766 | 39.0525386401 | 49.1933004719 | 28.4864739225 | 33.242471793 | 37.5194046848 | ||||||||||||||||||||||
Travel services (% of service imports, BoP) | BM.GSR.TRVL.ZS | 11.924769908 | 11.5590292061 | 12.108559499 | 12.1255012975 | 11.5092502434 | 13.3928571429 | 11.509009009 | 12.8528006947 | 13.2744989888 | 13.8044914135 | 14.7623400366 | 14.3950617284 | 15.6307129799 | 16.6433076384 | 16.0413589365 | 15.8464892001 | 14.5179743482 | 17.3844544827 | 19.010891471 | 20.4424314518 | 21.4462809555 | 19.297459302 | 17.7144317118 | 16.814993266 | 16.2560277051 | 18.8392337539 | 20.1571169145 | 19.6646357818 | 23.2185737369 | 24.510135863 | 22.4968665338 | ||||||||||||||||||||||
Foreign direct investment, net outflows (% of GDP) | BM.KLT.DINV.GD.ZS | 0.2253066878 | 0.3442775759 | 0.2983198613 | 0.2638874378 | 0.0825033349 | 1.3269122239 | 1.0721708829 | 0.7476613643 | 1.0816679669 | 1.1562554197 | 0.4168282491 | 0.376291898 | 0.9118874945 | ||||||||||||||||||||||||||||||||||||||||
Private current transfers, payments (BoP, current US$) | BM.TRF.PRVT.CD | 470410000 | 183980000 | 1293938074.44158 | 1199583279.71955 | 1215732595.53871 | 1696500000 | 1988536126.8004 | 2663153246.56063 | 2940954801.91489 | 3416335732.37845 | |||||||||||||||||||||||||||||||||||||||||||
Personal transfers and compensation of employees, paid (current US$) | BM.TRF.PWKR.CD.DT | 913221496.6 | 1178915744.9 | 1359066196 | 1654250000 | 1971467529.7 | 2701592136.2 | 2839937799.4 | 3163740018.5 | |||||||||||||||||||||||||||||||||||||||||||||
Current account balance (BoP, current US$) | BN.CAB.XOKA.CD | -566000000 | -5324000000 | -6338000000 | -1856000000 | -1923000000 | -3911000000 | -2098000000 | -1397000000 | -1108000000 | -2988000000 | -4260000000 | -2780000000 | -2106000000 | -2792000000 | -6431000000 | -7663000000 | -4889000000 | 4096965770.22987 | 5782898397.49641 | 7992091763.19783 | 6900915637.8044 | 7823523644.12285 | 8106792055.95371 | 1563017799.54063 | 277554218.390854 | 10859492464.381 | 10492590000 | 125240090.030975 | 10628489686.077 | 5144284990.09198 | 2070020010.69901 | ||||||||||||||||||||||
Current account balance (% of GDP) | BN.CAB.XOKA.GD.ZS | -0.6120647335 | -5.6210640257 | -7.4242230927 | -2.1184206455 | -2.2017687024 | -4.8850460597 | -2.7630851611 | -1.5734174966 | -1.0921076733 | -2.6112832701 | -3.3237625656 | -1.9983284478 | -1.3328536083 | -1.5783628769 | -3.1815837943 | -3.3702823928 | -2.2660606973 | 4.2924639811 | 4.1306018071 | 4.8430752264 | 4.3010576015 | 3.9985174342 | 3.453042191 | 0.6085643851 | 0.0970915339 | 2.9787082855 | 2.4276223207 | 0.0245451108 | 1.9697710242 | 0.7265663808 | 0.2444427371 | ||||||||||||||||||||||
Net income (BoP, current US$) | BN.GSR.FCTY.CD | -3073000000 | -2993000000 | -3650000000 | -4061000000 | -3542000000 | -3216000000 | -3654000000 | -4092000000 | -4547000000 | -5190000000 | -5581000000 | -5664000000 | -4987000000 | -4693000000 | -5874000000 | -6008000000 | -6332000000 | -8189000000 | -8996659139.2405 | -8443383886.07595 | -6935500000 | -7047765709.96442 | -6217456176.78647 | -10917221531.5259 | -12926627527.2884 | -13789573806.8456 | -15524630000 | -15155390370.5829 | -15140098798.9489 | -20789877040.0166 | -25666722878.2625 | ||||||||||||||||||||||
Net trade in goods and services (BoP, current US$) | BN.GSR.GNFS.CD | 2257000000 | -2465000000 | -2802000000 | 2038000000 | 1531000000 | -954000000 | 1299000000 | 2441000000 | 3100000000 | 1784000000 | 1059000000 | 2313000000 | 2344000000 | 1282000000 | -1538000000 | -2592000000 | 409000000 | 10819614426.8351 | 12865957536.7369 | 14619075649.2737 | 12316415637.8044 | 13131251791.0235 | 12455538881.6376 | 11341407383.9157 | 8411229717.7543 | 19786000661.7644 | 20913220000 | 9917006200.62198 | 21191036277.875 | 21303866417.485 | 23524552241.672 | ||||||||||||||||||||||
Net trade in goods (BoP, current US$) | BN.GSR.MRCH.CD | 6806000000 | 1893000000 | 963000000 | 5707000000 | 5822000000 | 2458000000 | 4674000000 | 5678000000 | 6664000000 | 5352000000 | 4801000000 | 7022000000 | 8231000000 | 7901000000 | 6533000000 | 5948000000 | 10075000000 | 18428826100 | 20643437521.75 | 25042017662.7 | 22696104546.5 | 23513231458.6371 | 24563068217.4828 | 20152287895.5244 | 17533559389.4656 | 29659958871.4689 | 32754140000 | 22915438273.956 | 30931651920.2789 | 30627437343.942 | 35347268073.413 | ||||||||||||||||||||||
Net errors and omissions, adjusted (BoP, current US$) | BN.KAC.EOMS.CD | -1668978875.25608 | -2150980216.24265 | 467472490.43259 | -619900612.19658 | 651229024.71209 | -1269408058.29523 | -753484747 | -932851805.699999 | -1315447174.8 | 744145221.5 | 91231912.6000013 | -1279415603.26 | -2931576117.88 | -263437807.712643 | -2254641469.5281 | 1318720306.53805 | -2645396645.37666 | 2099324488.91496 | 2077022806.66725 | 3829331350.95967 | 700965345.174586 | -1762555223.22607 | -3510066633.69843 | -3093998286.6207 | -136106928.734714 | 1073502715.5089 | -1377701145.0935 | -211570243.879887 | -2975076422.26311 | -1480207782.96668 | -4232388930.31992 | ||||||||||||||||||||||
Foreign direct investment, net (BoP, current US$) | BN.KLT.DINV.CD | 133000000 | 225000000 | 292000000 | 222000000 | 310000000 | 258000000 | 385000000 | 576000000 | 682000000 | 1093000000 | 1482000000 | 1777000000 | 1648000000 | 1500000000 | 3743000000 | 5594000000 | 4499000000 | -240800000 | -1865620963.49087 | -4550355285.71428 | -2977391857.14286 | 145085548.722222 | -596923827.786241 | -1511917230 | 5271257207.64285 | 2188448467.00071 | 2253330000 | 3418723398.70827 | 2628247482.66651 | 11106333134.5372 | 10437376043.4271 | ||||||||||||||||||||||
Private capital flows, total (BoP, current US$) | BN.KLT.PRVT.CD | 180000000 | 540000000 | 660000000 | 212000000 | 275000000 | 526000000 | 297000000 | 478000000 | 509000000 | 1000000000 | 1470000000 | 1689000000 | 3453000000 | 5377000000 | 7843000000 | 10599000000 | 1867000000 | -2118800000 | -3657970963.49087 | -6461085478.54951 | -3221194294.90297 | 1366935489.45365 | 1654367282.75451 | 2897238925.79576 | 9460842728.56797 | 6465074992.62016 | 7819410000 | 5182974868.32728 | 12964477809.5875 | 24308316805.138 | 14635651183.2726 | ||||||||||||||||||||||
Private capital flows, total (% of GDP) | BN.KLT.PRVT.GD.ZS | 0.1946495619 | 0.5701304609 | 0.7731125341 | 0.241974772 | 0.3148655191 | 0.657001848 | 0.3911517125 | 0.5383633238 | 0.5016992831 | 0.8739234505 | 1.1469321529 | 1.2140923555 | 2.1853482951 | 3.0397052969 | 3.8801371013 | 4.6615715883 | 0.8653580122 | -2.2199044838 | -2.6128111604 | -3.9153107777 | -2.007638252 | 0.6986257899 | 0.7046683802 | 1.128046287 | 3.309507374 | 1.7733400074 | 1.809140951 | 1.0157825064 | 2.4026981714 | 3.4332479244 | 1.7282821497 | ||||||||||||||||||||||
Portfolio investment, excluding LCFAR (BoP, current US$) | BN.KLT.PTXL.CD | 47000000 | 315000000 | 368000000 | -10000000 | -35000000 | 268000000 | -88000000 | -98000000 | -173000000 | -93000000 | -12000000 | -88000000 | 1805000000 | 3877000000 | 4100000000 | 5005000000 | -2632000000 | -1878000000 | -1792350000 | -1910730192.83523 | -243802437.760112 | 1221849940.73143 | 2251291110.54075 | 4409156155.79576 | 4189585520.92512 | 4276626525.61945 | 5566080000 | 1764251469.61901 | 10336230326.9209 | 13201983670.6007 | 4198275139.84555 | ||||||||||||||||||||||
Changes in net reserves (BoP, current US$) | BN.RES.INCL.CD | 373978875.25608 | 1852980216.24265 | -183472490.43259 | -981099387.80342 | -510229024.71209 | 1003408058.29523 | -629515253 | 112851805.699999 | -494552825.2 | -2251145221.5 | -1528231912.6 | -2069584396.74 | -594423882.12 | -783562192.287357 | -1573358530.4719 | -4502720306.53805 | 8137396645.37666 | 3436809740.85517 | -1915622537.83544 | -3925623425.49017 | 15040611.3389099 | -4957888541.74212 | -3647266568.15626 | -321023188.7157 | -486913620.504061 | -14957782897.4262 | -12705798854.9065 | 1918150011.52785 | -12505566040.0779 | -30284440312.189 | -11855630932.0658 | ||||||||||||||||||||||
Net current transfers (BoP, current US$) | BN.TRF.CURR.CD | 250000000 | 134000000 | 114000000 | 167000000 | 88000000 | 259000000 | 257000000 | 254000000 | 339000000 | 418000000 | 262000000 | 571000000 | 537000000 | 619000000 | 981000000 | 937000000 | 1034000000 | 1466351343.39482 | 1913600000 | 1816400000 | 1520000000 | 1740037563.06377 | 1868709351.10255 | 1138831947.15089 | 4792952027.9249 | 4863065609.46129 | 5104000000 | 5363624259.99181 | 4577552207.15096 | 4630295612.6237 | 4212190647.28933 | ||||||||||||||||||||||
Net capital account (BoP, current US$) | BN.TRF.KOGT.CD | 333918558 | 350322889 | 546200000 | 294452536.896192 | 95824593.216 | 49845904.2690753 | 752039.3340038 | ||||||||||||||||||||||||||||||||||||||||||||||
Grants, excluding technical cooperation (BoP, current US$) | BX.GRT.EXTA.CD.WD | 86910000 | 67010000 | 84660000 | 86270000 | 93250000 | 68630000 | 58900000 | 73240000 | 71180000 | 137150000 | 108980000 | 124400000 | 92090000 | 103880000 | 123120000 | 136580000 | 135740000 | 195290000 | 201650000 | 214830000 | 285860000 | 276340000 | 319910000 | 241220000 | 233800000 | 260580000 | 205440000 | 207410000 | 276870000 | 425300000 | 369130000 | 262800000 | 306500000 | 309250000 | 342990000 | 1049630000 | 1010600000 | 1001510000 | 842580000 | 978490000 | 851330000 | ||||||||||||
Technical cooperation grants (BoP, current US$) | BX.GRT.TECH.CD.WD | 25730000 | 36840000 | 39940000 | 54610000 | 78100000 | 78740000 | 83830000 | 86610000 | 115090000 | 142270000 | 183570000 | 195920000 | 218080000 | 209990000 | 201410000 | 199850000 | 241740000 | 282980000 | 345800000 | 368560000 | 395710000 | 442160000 | 426490000 | 423420000 | 443140000 | 491480000 | 407450000 | 370660000 | 315150000 | 338920000 | 418480000 | 402410000 | 459520000 | 487830000 | 427810000 | 454470000 | 554840000 | 523520000 | 515070000 | 467910000 | 520360000 | ||||||||||||
ICT service exports (BoP, current US$) | BX.GSR.CCIS.CD | 973130000 | 1145550000 | 1220351167.32689 | 1483650000 | 1273814236.94062 | 1156598415.45835 | 1239735941.3016 | 1623739488.93092 | |||||||||||||||||||||||||||||||||||||||||||||
ICT service exports (% of service exports, BoP) | BX.GSR.CCIS.ZS | 8.0788323825 | 8.8620291105 | 10.5933381136 | 11.8811191387 | 8.3547861115 | 8.7917792189 | 7.3944451613 | 7.908474006 | |||||||||||||||||||||||||||||||||||||||||||||
Communications, computer, etc. (% of service exports, BoP) | BX.GSR.CMCP.ZS | 34.0757238307 | 30.753968254 | 18.315018315 | 10.701754386 | 30.0947867299 | 18.7203791469 | 9.3896713615 | 3.0679327977 | 10.2933333333 | 10.6511254019 | 8.0085046067 | 7.4019463285 | 6.6683505936 | 4.6278924328 | 4.3883708173 | 6.2888316412 | 4.2212937617 | 5.0011163206 | 5.3536379703 | 4.5919826801 | 4.0723913375 | 4.7646644266 | 7.5070724651 | 38.7218055035 | 40.0780718846 | 41.2771877691 | 37.0504490104 | 31.1179068532 | 37.3975362761 | 40.487669576 | 42.4862224518 | ||||||||||||||||||||||
Income receipts (BoP, current US$) | BX.GSR.FCTY.CD | 1081000000 | 1023000000 | 631000000 | 828000000 | 768000000 | 732000000 | 561000000 | 492000000 | 562000000 | 409000000 | 917000000 | 818000000 | 1028000000 | 1048000000 | 1306000000 | 1210000000 | 1855000000 | 1909800000 | 1890500000 | 2457500000 | 2004400000 | 1317698351.71202 | 1054494244.48844 | 1995034967.98499 | 2337681728.75304 | 2587225905.87303 | 3469190000 | 3591819727.15172 | 1921139535.5293 | 1889712841.36208 | 2477465726.43287 | ||||||||||||||||||||||
Exports of goods and services (BoP, current US$) | BX.GSR.GNFS.CD | 23797000000 | 20251000000 | 19235000000 | 21324000000 | 19371000000 | 15240000000 | 18271000000 | 20878000000 | 24849000000 | 29295000000 | 32457000000 | 37187000000 | 40566000000 | 45020000000 | 52923000000 | 56787000000 | 63239000000 | 54849971800 | 55840471034.8021 | 70621534779.7085 | 62865038246.5 | 65828019016.6371 | 69402129559.024 | 82812559661.9561 | 99921822250.9677 | 115047793463.945 | 130501310000 | 154852620250.011 | 132801196452.194 | 174840264625.279 | 222004030769.253 | ||||||||||||||||||||||
Insurance and financial services (% of service exports, BoP) | BX.GSR.INSF.ZS | 0.037070923 | 0.0513897297 | 2.528178995 | 2.9547833082 | 1.8648002978 | 2.4683962952 | 2.1283630403 | 1.510865476 | 2.1136187766 | 2.0951727982 | |||||||||||||||||||||||||||||||||||||||||||
Goods exports (BoP, current US$) | BX.GSR.MRCH.CD | 23348000000 | 19747000000 | 18689000000 | 20754000000 | 18527000000 | 14396000000 | 17206000000 | 19509000000 | 22974000000 | 26807000000 | 29635000000 | 33796000000 | 36607000000 | 40223000000 | 47454000000 | 50188000000 | 56298000000 | 50370971800 | 51241887521.75 | 65407393662.7 | 57364584546.5 | 59165115051.6371 | 64109243184.884 | 70767130892.9312 | 86995324428.4212 | 103527806522.679 | 118013850000 | 139606099035.217 | 119645743083.036 | 158074490936.257 | 201472389801.701 | ||||||||||||||||||||||
Service exports (BoP, current US$) | BX.GSR.NFSV.CD | 449000000 | 504000000 | 546000000 | 570000000 | 844000000 | 844000000 | 1065000000 | 1369000000 | 1875000000 | 2488000000 | 2822000000 | 3391000000 | 3959000000 | 4797000000 | 5469000000 | 6599000000 | 6941000000 | 4479000000 | 4598583513.05208 | 5214141117.00854 | 5500453700 | 6662903965 | 5292886374.14 | 12045428769.0249 | 12926497822.5465 | 11519986941.2661 | 12487460000 | 15246521214.7938 | 13155453369.1582 | 16765773689.022 | 20531640967.5523 | ||||||||||||||||||||||
Royalty and license fees, receipts (BoP, current US$) | BX.GSR.ROYL.CD | 221187500 | 263330000 | 13445052.7973301 | 30690000 | 27211956.7544272 | 38128141.0043154 | 59560687.4038917 | 77695691.7130115 | |||||||||||||||||||||||||||||||||||||||||||||
Exports of goods, services and income (BoP, current US$) | BX.GSR.TOTL.CD | 24878000000 | 21274000000 | 19866000000 | 22152000000 | 20139000000 | 15972000000 | 18832000000 | 21370000000 | 25411000000 | 29704000000 | 33374000000 | 38005000000 | 41594000000 | 46068000000 | 54229000000 | 57997000000 | 65094000000 | 56759771800 | 57730971034.8021 | 73079034779.7085 | 64869438246.5 | 67145717368.3491 | 70456623803.5125 | 84807594629.9411 | 102259503979.721 | 117635019369.819 | 133970500000 | 158444439977.163 | 134722335987.723 | 176729977466.641 | 224481496495.686 | ||||||||||||||||||||||
Transport services (% of service exports, BoP) | BX.GSR.TRAN.ZS | 15.144766147 | 13.6904761905 | 9.1575091575 | 8.5964912281 | 4.9763033175 | 4.6208530806 | 3.8497652582 | 3.2140248356 | 2.88 | 2.8135048232 | 2.8703047484 | 2.6245945149 | 1.1113917656 | 15.8774613225 | 16.1688715666 | 18.9189053369 | 21.9855174084 | 18.2470143055 | 17.6693258677 | 18.366340684 | 18.5395405924 | 15.8980599158 | 16.6835008888 | ||||||||||||||||||||||||||||||
Travel services (% of service exports, BoP) | BX.GSR.TRVL.ZS | 50.7795100223 | 55.5555555556 | 72.5274725275 | 80.701754386 | 64.9289099526 | 76.6587677725 | 86.7605633803 | 93.7180423667 | 86.8266666667 | 86.5353697749 | 89.1211906449 | 89.9734591566 | 92.2202576408 | 95.3721075672 | 95.6116291827 | 93.7111683588 | 95.7787062383 | 94.9988836794 | 94.6463620297 | 95.4080173199 | 95.9276086625 | 79.3208033278 | 76.2726662387 | 39.8311101646 | 34.9816273988 | 38.6109976276 | 42.8118288267 | 48.3873894226 | 42.5520576555 | 41.5006517317 | 38.7351038612 | ||||||||||||||||||||||
Foreign direct investment, net inflows (BoP, current US$) | BX.KLT.DINV.CD.WD | 133000000 | 225000000 | 292000000 | 222000000 | 310000000 | 258000000 | 385000000 | 576000000 | 682000000 | 1093000000 | 1482000000 | 1777000000 | 2004000000 | 2109000000 | 4346000000 | 6194000000 | 4677000000 | -240800000 | -1865620963.49087 | -4550355285.71428 | -2977391857.14286 | 145085548.722222 | -596923827.786241 | 1896082770 | 8336257207.6 | 4914201435.4 | 6928480000 | 9318453649.8 | 4877369178.4 | 13770580771 | 18159533731 | ||||||||||||||||||||||
Foreign direct investment, net inflows (% of GDP) | BX.KLT.DINV.WD.GD.ZS | 0.1438243985 | 0.2375543587 | 0.3420437272 | 0.2533886764 | 0.3549393124 | 0.3222556593 | 0.5070485162 | 0.648739068 | 0.6722179 | 0.9551983314 | 1.1562948644 | 1.2773487956 | 1.268299445 | 1.1922519009 | 2.1500797963 | 2.7241979826 | 2.1677982985 | -0.2522904473 | -1.3325735286 | -2.7574399304 | -1.8556861947 | 0.0741516384 | -0.2542563258 | 0.7382439569 | 2.9161149268 | 1.3479426023 | 1.6030105719 | 1.8262720628 | 0.9039196317 | 1.9449235514 | 2.1444073516 | ||||||||||||||||||||||
Portfolio equity, net inflows (BoP, current US$) | BX.PEF.TOTL.CD.WD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1805000000 | 1900000000 | 1493000000 | 1819000000 | -4987000000 | -4371000000 | -782350000 | -1021180192.83523 | 442090511.951675 | 876551079.950157 | 1130491110.54075 | 2042529155.79576 | -165274363.22 | 1897589872 | 3558960000 | 322475762.75 | 787278950.18 | 2131563489.2 | -326105110.99 | ||||||||||||||||||||||
Current transfers, receipts (BoP, current US$) | BX.TRF.CURR.CD | 250000000 | 134000000 | 114000000 | 167000000 | 88000000 | 259000000 | 257000000 | 254000000 | 339000000 | 418000000 | 262000000 | 571000000 | 537000000 | 619000000 | 981000000 | 937000000 | 1034000000 | 1466351343.39482 | 1913600000 | 1816400000 | 1520000000 | 2210447563.06377 | 2052689351.10255 | 2432770021.59247 | 5992535307.64445 | 6078798205 | 6800500000 | 7352160386.79221 | 7240705453.71159 | 7571250414.53859 | 7635626379.66778 | ||||||||||||||||||||||
Workers' remittances, receipts (BoP, current US$) | BX.TRF.PWKR.CD | 10000000 | 53000000 | 61000000 | 71000000 | 86000000 | 99000000 | 167000000 | 166000000 | 130000000 | 229000000 | 346000000 | 449000000 | 651000000 | 796000000 | 725000000 | 958170000 | 1109000000 | 1190200000 | 1046000000 | 1258917563.06377 | 1488709351.10255 | 1700010021.59247 | 5296249000.00001 | 5560250000 | 6003810000 | 6617865564.14697 | 6617953588.06461 | 6734939812.96658 | 6735872884.41679 | ||||||||||||||||||||||||
Personal transfers and compensation of employees, received (current US$) | BX.TRF.PWKR.CD.DT | 10000000 | 53000000 | 61000000 | 71000000 | 86000000 | 99000000 | 167000000 | 166000000 | 130000000 | 229000000 | 346000000 | 449000000 | 651000000 | 796000000 | 725000000 | 958169982.9 | 1109000000 | 1190199951 | 1046000000 | 1258917603 | 1488709351 | 1866314941 | 5419620728.8 | 5722357516.7 | 6174340000 | 6794200933.4 | 6792907280.4 | 6916051073.1 | 6923970511.4 | ||||||||||||||||||||||||
Personal transfers and compensation of employees, received (% of GDP) | BX.TRF.PWKR.DT.GD.ZS | 0.0117138263 | 0.060493693 | 0.069842897 | 0.0886827589 | 0.1132627854 | 0.1115020273 | 0.1646046764 | 0.1450712928 | 0.1014293741 | 0.1646105088 | 0.2189778483 | 0.2538269813 | 0.3220667159 | 0.3500906674 | 0.3360388639 | 1.0038917506 | 0.7921352044 | 0.7212414557 | 0.651928887 | 0.6434190287 | 0.6341073218 | 0.7266537878 | 1.8958432437 | 1.5696160574 | 1.4285286664 | 1.3315577692 | 1.2589250521 | 0.9768063409 | 0.8176318559 | ||||||||||||||||||||||||
S&P Global Equity Indices (annual % change) | CM.MKT.INDX.ZG | 16.3999996185 | -73.6289978027 | -28.0748996735 | 95.0999984741 | -61.0417098999 | -18.5326080322 | 33.2900009155 | 69.7200012207 | 39.3400001526 | 9.0793650794 | 67.9278230501 | 49.2663200462 | -61.072838455 | 130.0666750379 | 37.8942154062 | 1.1358723171 | |||||||||||||||||||||||||||||||||||||
Market capitalization of listed companies (current US$) | CM.MKT.LCAP.CD | 253000000 | 2249999872 | 8080000000 | 6819999744 | 12000000000 | 32999999488 | 47200002048 | 66585000000 | 91016000000 | 29105000000 | 22104000000 | 64087223300 | 26834210000 | 23005650000 | 29991370000 | 54659060000 | 73250640000 | 81428120000 | 138886360000 | 211692970000 | 98760599266.055 | 178190945563.824 | 360388099886.427 | 390106865177.833 | |||||||||||||||||||||||||||||
Market capitalization of listed companies (% of GDP) | CM.MKT.LCAP.GD.ZS | 0.2849496254 | 2.2177275498 | 7.06130148 | 5.3211408091 | 8.625878192 | 20.8851701767 | 26.6829265836 | 32.9413399069 | 40.0299650608 | 13.4902222529 | 23.1587543465 | 45.7761458323 | 16.2610867745 | 14.33847782 | 15.3282614429 | 23.2817172317 | 28.5202962509 | 28.4844565464 | 38.0958827157 | 48.9784294541 | 19.3555422527 | 33.0240110987 | 50.9003443478 | 46.0666029205 | |||||||||||||||||||||||||||||
Listed domestic companies, total | CM.MKT.LDOM.NO | 24 | 57 | 125 | 141 | 155 | 174 | 216 | 238 | 253 | 282 | 288 | 277 | 290 | 316 | 331 | 333 | 331 | 335 | 344 | 383 | 396 | 398 | 420 | 440 | |||||||||||||||||||||||||||||
Stocks traded, total value (current US$) | CM.MKT.TRAD.CD | 4000000 | 541000000 | 3992000000 | 2921999872 | 3903000064 | 9157999616 | 11800999936 | 14403000000 | 32142000000 | 42927000000 | 10610690000 | 19903460000 | 14310690000 | 9666880000 | 13041840000 | 14774350000 | 27561460000 | 41900080000 | 48830560000 | 112851080000 | 110677616650.766 | 115309506142.384 | 129546386041.381 | 139617767077.532 | |||||||||||||||||||||||||||||
Stocks traded, total value (% of GDP) | CM.MKT.TRAD.GD.ZS | 0.0045051324 | 0.533240299 | 3.4887024144 | 2.2798201388 | 2.805566928 | 5.7959510129 | 6.6712966365 | 7.1255405674 | 14.1364500416 | 19.8967452552 | 11.117008829 | 14.2166197974 | 8.6720410958 | 6.0249697126 | 6.6655418948 | 6.2930507583 | 10.73111449 | 14.6571111804 | 13.3939955421 | 26.1098356767 | 21.6910924137 | 21.3702351631 | 18.2968185148 | 16.4870624199 | |||||||||||||||||||||||||||||
Stocks traded, turnover ratio (%) | CM.MKT.TRNR | 43.2281284591 | 77.2894491668 | 39.2214754658 | 41.4771532103 | 40.7022209787 | 29.4289269576 | 25.3161659986 | 40.7890812876 | 71.4729314608 | 41.4407233104 | 46.1844239772 | 31.4792441795 | 38.7917622562 | 49.217257876 | 34.9067334921 | 43.0951835553 | 54.1769018578 | 44.3280532446 | 64.3797681968 | 71.3005921706 | 83.2705274948 | 48.1067309008 | 37.2068497663 | ||||||||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Australia (current US$) | DC.DAC.AUSL.CD | 1540000 | 1070000 | 4250000 | 7040000 | 12660000 | 17990000 | 17090000 | 24430000 | 26450000 | 32100000 | 33200000 | 29460000 | 26720000 | 36010000 | 44190000 | 48050000 | 44750000 | 45900000 | 38730000 | 56490000 | 46790000 | 42010000 | 48220000 | 71660000 | 83100000 | 77380000 | 72870000 | 77020000 | 85650000 | 93050000 | 107880000 | 84910000 | 78550000 | 74060000 | 72280000 | 72020000 | 59210000 | 71120000 | 86500000 | 106110000 | 184670000 | 240230000 | 335060000 | 325230000 | 342140000 | 356200000 | |||||||
Net bilateral aid flows from DAC donors, Austria (current US$) | DC.DAC.AUTL.CD | 0 | 0 | 0 | 10000 | 120000 | 330000 | -1170000 | -1170000 | 0 | 0 | 0 | 0 | 0 | 0 | 270000 | 870000 | 400000 | 610000 | 380000 | 370000 | 66610000 | 7610000 | 200000 | 2980000 | 3330000 | 490000 | 190000 | 550000 | 6860000 | 4400000 | 230000 | -9990000 | -6110000 | -4970000 | -1080000 | 10560000 | 16150000 | 11100000 | 10540000 | 7430000 | 8520000 | 4770000 | 520000 | 370000 | 550000 | 1360000 | 2640000 | 1710000 | 1110000 | 1950000 | 850000 | ||
Net bilateral aid flows from DAC donors, Belgium (current US$) | DC.DAC.BELL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10000 | 410000 | 1650000 | 3700000 | 5800000 | 7000000 | 12080000 | 14470000 | 14460000 | 13240000 | 13980000 | 4930000 | 16200000 | 20550000 | 13560000 | 12940000 | 12090000 | 3240000 | 3390000 | 11270000 | 5840000 | 6230000 | 10740000 | -1590000 | 37560000 | 2500000 | 15410000 | 1540000 | -1190000 | 7110000 | -4100000 | 1450000 | 1060000 | 980000 | 1170000 | 1400000 | 1400000 | -6910000 | -450000 | 10340000 | -10080000 | -6550000 | -6190000 | -5800000 | ||
Net bilateral aid flows from DAC donors, Canada (current US$) | DC.DAC.CANL.CD | 1120000 | 600000 | 500000 | 450000 | 440000 | 80000 | 100000 | 500000 | 900000 | 2470000 | 3120000 | 2080000 | 12990000 | 17450000 | 25820000 | 34100000 | 22350000 | 11770000 | 14410000 | 8810000 | 14440000 | 21190000 | 26790000 | 10580000 | 25970000 | 34120000 | 52070000 | 42970000 | 40120000 | 33430000 | 48430000 | 42660000 | 33610000 | 33930000 | 23870000 | 15720000 | 18000000 | 18740000 | 18460000 | 26310000 | 26450000 | 18780000 | 11550000 | 21630000 | 9250000 | 95890000 | 37280000 | 53440000 | 82410000 | 20020000 | 10860000 | ||
Net bilateral aid flows from DAC donors, European Union institutions (current US$) | DC.DAC.CECL.CD | 140000 | 1520000 | 1450000 | 750000 | 280000 | 0 | 0 | 0 | 0 | 4070000 | 4390000 | 130000 | 3130000 | 450000 | 9640000 | 790000 | 170000 | 2660000 | 2190000 | 1250000 | 1350000 | 30710000 | 9460000 | 6480000 | 3680000 | 8580000 | 7330000 | 6340000 | 8310000 | 13860000 | 12400000 | 12020000 | 12950000 | 13460000 | 14200000 | 25330000 | 22660000 | 15440000 | 14850000 | 28730000 | 37680000 | 28370000 | 23940000 | 27970000 | 42590000 | 72130000 | 137240000 | 132640000 | 54510000 | 113130000 | 105450000 | ||
Net bilateral aid flows from DAC donors, Switzerland (current US$) | DC.DAC.CHEL.CD | 0 | 0 | 0 | 20000 | 0 | 0 | 60000 | 30000 | 110000 | 80000 | 260000 | 80000 | 630000 | 810000 | 2740000 | 6130000 | 5920000 | 1190000 | 1360000 | 1900000 | 3580000 | 2840000 | 3410000 | 4150000 | 4270000 | 6030000 | 9690000 | 7380000 | 28430000 | 21370000 | 19440000 | 13800000 | 29730000 | 26140000 | 22240000 | 13850000 | 10070000 | 8010000 | 5540000 | 5610000 | 3490000 | 3270000 | 6340000 | 3920000 | 2600000 | 19750000 | 1800000 | -70000 | -1910000 | 5520000 | 5000000 | ||
Net bilateral aid flows from DAC donors, Germany (current US$) | DC.DAC.DEUL.CD | -110000 | -250000 | 3580000 | 7560000 | 14160000 | 15130000 | 3750000 | 26950000 | 21610000 | 8520000 | 24620000 | 43990000 | 59950000 | 46580000 | 57650000 | 43970000 | 35620000 | 24510000 | 26060000 | 29960000 | 65640000 | 173620000 | 140060000 | 85470000 | 92930000 | 86910000 | 126100000 | 61770000 | 97640000 | 52360000 | 99010000 | 135820000 | 116360000 | 279440000 | 265820000 | 4460000 | -105980000 | 115220000 | 212800000 | -19470000 | 6380000 | 29920000 | 78390000 | -91100000 | -8590000 | 164670000 | 50390000 | 31410000 | 29730000 | -34840000 | -12600000 | ||
Net bilateral aid flows from DAC donors, Denmark (current US$) | DC.DAC.DNKL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 160000 | 610000 | 640000 | 1020000 | 1670000 | 290000 | 820000 | 3900000 | 320000 | -380000 | -170000 | 150000 | 100000 | 6140000 | 50000 | 130000 | 80000 | -240000 | -160000 | 340000 | 640000 | 11120000 | 4860000 | 2240000 | 3740000 | 3990000 | 6180000 | 2210000 | 760000 | 1710000 | 1510000 | 1880000 | 1400000 | 3650000 | 1890000 | 2740000 | 3020000 | 32240000 | 6420000 | 7060000 | 7160000 | 10370000 | 12460000 | ||
Net bilateral aid flows from DAC donors, Spain (current US$) | DC.DAC.ESPL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70000 | 23160000 | 21490000 | 9490000 | 55430000 | 45340000 | 44390000 | 42410000 | 42120000 | 2110000 | 13840000 | 66120000 | 41350000 | 7850000 | 9680000 | 10890000 | 33720000 | 3920000 | -16210000 | 9450000 | 3410000 | -10590000 | ||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Finland (current US$) | DC.DAC.FINL.CD | 0 | 0 | 0 | 0 | 10000 | 0 | 0 | 0 | 30000 | 180000 | 520000 | 260000 | 350000 | 940000 | 510000 | 1440000 | 1410000 | 1800000 | 3260000 | 5780000 | 2680000 | 3080000 | 1810000 | 860000 | 1560000 | 780000 | 580000 | 360000 | 320000 | 1700000 | 650000 | 410000 | 420000 | 660000 | 110000 | 8460000 | 5310000 | 5470000 | 1820000 | 2130000 | 1800000 | ||||||||||||
Net bilateral aid flows from DAC donors, France (current US$) | DC.DAC.FRAL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22700000 | 18900000 | 17300000 | 14800000 | 28400000 | 12990000 | 24500000 | 30840000 | 36460000 | 26900000 | 12700000 | 30690000 | 24780000 | 43500000 | 43720000 | 27130000 | 66300000 | 34800000 | 20630000 | 39230000 | 37330000 | 57090000 | 108940000 | 122410000 | 126470000 | 168780000 | 113760000 | 107650000 | 88360000 | 28440000 | 12560000 | 24410000 | 21190000 | 21700000 | 26100000 | 44810000 | 57040000 | -28240000 | 29300000 | -55670000 | -84030000 | 103530000 | 187130000 | 262490000 | ||
Net bilateral aid flows from DAC donors, United Kingdom (current US$) | DC.DAC.GBRL.CD | 0 | 0 | 110000 | 150000 | 90000 | 30000 | 10000 | 1930000 | 2630000 | 5550000 | 6310000 | 14160000 | 16940000 | 19520000 | 15700000 | 12960000 | 7290000 | 8650000 | 11330000 | 18680000 | 18400000 | 11580000 | 15560000 | 10980000 | 13880000 | 37990000 | 7310000 | 10430000 | 17220000 | 14490000 | 22380000 | 38890000 | 32680000 | 34080000 | 34060000 | 56210000 | 46080000 | 57220000 | 40060000 | 40660000 | 33860000 | 23440000 | 31720000 | 37170000 | 37360000 | 24090000 | 101560000 | 71480000 | 100690000 | 68760000 | 26850000 | ||
Net bilateral aid flows from DAC donors, Greece (current US$) | DC.DAC.GRCL.CD | 0 | 0 | 70000 | 30000 | 0 | 0 | 10000 | 10000 | 0 | 170000 | 570000 | 90000 | 50000 | 80000 | 70000 | ||||||||||||||||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Ireland (current US$) | DC.DAC.IRLL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100000 | 0 | 0 | 0 | 0 | 20000 | 10000 | 70000 | 0 | 10000 | 50000 | 170000 | 70000 | 140000 | 30000 | 70000 | 0 | 30000 | 8190000 | 640000 | 410000 | 80000 | 1190000 | 10000 | ||||||||||||||||
Net bilateral aid flows from DAC donors, Italy (current US$) | DC.DAC.ITAL.CD | -130000 | -110000 | 1260000 | 720000 | 1980000 | 5520000 | 0 | 10000 | 31690000 | 34160000 | 18730000 | 50720000 | -3230000 | 20000 | -1970000 | 240000 | 10370000 | -1700000 | -2200000 | -1430000 | 3270000 | -1930000 | -1270000 | 4380000 | 1700000 | 1220000 | 11840000 | 19430000 | 1300000 | 17480000 | 9840000 | 14310000 | 12470000 | 72050000 | 39510000 | 16630000 | 670000 | -490000 | -1830000 | 1100000 | 1270000 | 940000 | 2330000 | 3340000 | -16420000 | 3350000 | -25310000 | -16950000 | -19450000 | -16270000 | -14410000 | ||
Net bilateral aid flows from DAC donors, Japan (current US$) | DC.DAC.JPNL.CD | 14280000 | 30810000 | 22040000 | 17930000 | 15010000 | 21520000 | 50580000 | 112930000 | 83730000 | 65840000 | 125840000 | 111890000 | 103200000 | 142860000 | 221090000 | 197920000 | 200480000 | 148350000 | 227590000 | 226900000 | 350030000 | 299800000 | 294550000 | 235460000 | 167700000 | 161330000 | 160830000 | 707320000 | 984910000 | 1145270000 | 867780000 | 1065510000 | 1356710000 | 1148890000 | 886170000 | 892420000 | 965530000 | 496860000 | 828470000 | 1605840000 | 970100000 | 860070000 | 538300000 | 1141780000 | -318540000 | 1223130000 | -90250000 | -222460000 | -284920000 | -512790000 | 61140000 | ||
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) | DC.DAC.KORL.CD | 330000 | 80000 | 580000 | 2720000 | 7280000 | 6020000 | 1730000 | 2590000 | 2020000 | 15390000 | 19550000 | 9330000 | 3790000 | 23000000 | 14670000 | 30170000 | 16930000 | 18320000 | 18900000 | 28780000 | 18940000 | 27760000 | 24440000 | ||||||||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Luxembourg (current US$) | DC.DAC.LUXL.CD | 0 | 20000 | 20000 | 20000 | 30000 | 20000 | 0 | 0 | 250000 | 240000 | 0 | 0 | 80000 | 190000 | 30000 | 50000 | 1190000 | 520000 | 310000 | 500000 | 490000 | ||||||||||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Netherlands (current US$) | DC.DAC.NLDL.CD | 21900000 | 25900000 | 37000000 | 0 | 0 | 0 | 18700000 | 25730000 | 15880000 | 46990000 | 44840000 | 53380000 | 67570000 | 54090000 | 44200000 | 39680000 | 44270000 | 43080000 | 75800000 | 85410000 | 68030000 | 105250000 | 61840000 | 78030000 | 56620000 | 90470000 | 140280000 | 156210000 | 161500000 | 190130000 | 139440000 | 7960000 | -42580000 | -48980000 | -54500000 | -62510000 | -48780000 | -44550000 | 71930000 | 143960000 | 119650000 | 127270000 | 76890000 | -520000 | 175990000 | 75620000 | 42430000 | 75490000 | 81090000 | 34360000 | |||
Net bilateral aid flows from DAC donors, Norway (current US$) | DC.DAC.NORL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20000 | 30000 | 20000 | 150000 | 130000 | 180000 | 100000 | 480000 | 3500000 | 2690000 | 1460000 | 3740000 | 830000 | 4130000 | 1070000 | 1880000 | 1560000 | 4230000 | 630000 | 1990000 | 480000 | -180000 | -220000 | 11780000 | 3090000 | 1320000 | 21150000 | 13720000 | 9160000 | 3750000 | 8590000 | 5800000 | 4620000 | 6050000 | 6570000 | 7370000 | 45090000 | 10260000 | 16410000 | 10660000 | 12890000 | 41940000 | ||
Net bilateral aid flows from DAC donors, New Zealand (current US$) | DC.DAC.NZLL.CD | 0 | 0 | 1970000 | 2190000 | 3960000 | 7090000 | 4170000 | 2700000 | 2780000 | 2810000 | 3070000 | 4520000 | 4880000 | 4060000 | 2900000 | 1460000 | 2390000 | 2100000 | 2330000 | 2240000 | 3120000 | 2350000 | 2580000 | 2790000 | 3200000 | 3280000 | 3460000 | 4230000 | 3240000 | 3920000 | 2880000 | 2990000 | 4470000 | 4840000 | 6530000 | 13040000 | 8760000 | 13160000 | 12110000 | 5140000 | 6540000 | ||||||||||||
Net bilateral aid flows from DAC donors, Portugal (current US$) | DC.DAC.PRTL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40000 | 80000 | 0 | 0 | 2110000 | 2260000 | 0 | 90000 | 40000 | 0 | |||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Sweden (current US$) | DC.DAC.SWEL.CD | 0 | 0 | 450000 | 490000 | 440000 | 0 | 0 | 0 | 0 | 20000 | 0 | 0 | 0 | 20000 | 0 | 0 | 0 | 0 | 0 | 320000 | 10000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50000 | 200000 | 390000 | 820000 | 590000 | 520000 | 1050000 | 1310000 | 610000 | 2970000 | 4070000 | 3740000 | 1580000 | 5940000 | 9120000 | 21600000 | 23900000 | 16440000 | 12150000 | 11580000 | 5940000 | |||
Net bilateral aid flows from DAC donors, Total (current US$) | DC.DAC.TOTL.CD | 81200000 | 111470000 | 154390000 | 105080000 | 63520000 | 41230000 | 80910000 | 231590000 | 315830000 | 319810000 | 453440000 | 547220000 | 453200000 | 518900000 | 549430000 | 527390000 | 523850000 | 401530000 | 543160000 | 633010000 | 845580000 | 830240000 | 761390000 | 625640000 | 552390000 | 511320000 | 612210000 | 1128830000 | 1506530000 | 1717710000 | 1533110000 | 1739240000 | 1880770000 | 1842290000 | 1481070000 | 1243670000 | 1038140000 | 783660000 | 1252420000 | 2112500000 | 1585450000 | 1396530000 | 1200610000 | 1638590000 | -57860000 | 2332510000 | 758100000 | 524050000 | 647810000 | 446030000 | 1093790000 | ||
Net bilateral aid flows from DAC donors, United States (current US$) | DC.DAC.USAL.CD | 44000000 | 53000000 | 88000000 | 77000000 | 31000000 | -2920000 | 26510000 | 44750000 | 122920000 | 151000000 | 186000000 | 227000000 | 158000000 | 158000000 | 82000000 | 91000000 | 127000000 | 102000000 | 142000000 | 181000000 | 117000000 | 103000000 | 72000000 | 80000000 | 61000000 | 43000000 | 46000000 | 36000000 | 22000000 | 31000000 | 31000000 | 18000000 | -1000000 | -6000000 | -17000000 | -7000000 | -57000000 | -51000000 | 36580000 | 207260000 | 174190000 | 141010000 | 225750000 | 210880000 | 68870000 | 155640000 | 190100000 | 117340000 | 115120000 | 121290000 | 180300000 | ||
External debt stocks, total (DOD, current US$) | DT.DOD.DECT.CD | 1095383000 | 4982261000 | 5863064000 | 7270798000 | 9100923000 | 11497813000 | 14010055000 | 16470547000 | 18045709000 | 18623753000 | 20937702000 | 22761141000 | 25133287000 | 30229381000 | 32025242000 | 36714624000 | 42914289000 | 52526345000 | 54053868000 | 59380148000 | 69848499000 | 79523030000 | 87978588000 | 89146947000 | 107808954000 | 124388680000 | 128988712000 | 136322465000 | 151466804000 | 151788595000 | 143655149000 | 132347307000 | 128114943000 | 133779579000 | 137487822000 | 141820095000 | 135959423000 | 147854466000 | 157906449000 | 179394490000 | 195172097000 | 213540848000 | |||||||||||
External debt stocks (% of GNI) | DT.DOD.DECT.GN.ZS | 11.2950968176 | 50.548813423 | 51.1639165557 | 43.0919008152 | 34.3846907257 | 36.6938312195 | 36.0640416799 | 34.6110992334 | 33.886874289 | 35.3122629749 | 27.989223442 | 25.4522042124 | 27.8870833934 | 36.9207183618 | 38.8184968955 | 44.3538838957 | 56.4630189385 | 73.0502801171 | 63.8317880834 | 61.2836908639 | 63.9586985699 | 71.620740089 | 72.1755422851 | 58.652212747 | 62.625312486 | 63.4028480743 | 58.2930166714 | 65.089039949 | 168.1777985936 | 117.3583096076 | 95.5678535545 | 92.2846789518 | 74.3222004974 | 59.2608844813 | 56.1057466489 | 52.1478258884 | 38.9526328234 | 35.6756054252 | 32.0875274444 | 34.4529306831 | 28.3631224099 | 25.9562407841 | |||||||||||
Use of IMF credit (DOD, current US$) | DT.DOD.DIMF.CD | 0 | 136091000 | 116300000 | 23114000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 445100000 | 413100000 | 46090000 | 51330000 | 716228000 | 622925000 | 608325000 | 493912000 | 165537000 | 0 | 0 | 0 | 0 | 0 | 2970336000 | 9089988000 | 10576254000 | 11148904000 | 9413732000 | 9186352000 | 10630687000 | 10057237000 | 8148492000 | 359485000 | 377610000 | 368057000 | 3104714000 | 3049935000 | 3040508000 | |||||||||||
External debt stocks, long-term (DOD, current US$) | DT.DOD.DLXF.CD | 1095383000 | 4375373000 | 5164944000 | 6529684000 | 8201923000 | 10362813000 | 12627055000 | 14545547000 | 16259709000 | 16515753000 | 18162702000 | 19487141000 | 21517287000 | 25145281000 | 26204142000 | 30619534000 | 36396959000 | 45449818000 | 46703943000 | 50796823000 | 58219287000 | 65042693000 | 69921488000 | 71159947000 | 88351954000 | 98422380000 | 96758272000 | 100487129000 | 122264116000 | 121183261000 | 110818221000 | 102902551000 | 101302567000 | 103672145000 | 105406585000 | 122649103000 | 123391638000 | 128821457000 | 137050102000 | 152240276000 | 159074892000 | 172326980000 | |||||||||||
External debt stocks, private nonguaranteed (PNG) (DOD, current US$) | DT.DOD.DPNG.CD | 0 | 649000000 | 913000000 | 1285000000 | 1844000000 | 2369000000 | 2624000000 | 2842000000 | 3040000000 | 3140000000 | 3142000000 | 3579000000 | 3200000000 | 3652400000 | 3930800000 | 3836500000 | 3778400000 | 4571000000 | 5545200000 | 6556300000 | 10260500000 | 13176000000 | 16281000000 | 14029000000 | 24440950000 | 33123191000 | 36694340000 | 44468771000 | 54728300000 | 47264868000 | 41169275000 | 34405214000 | 30026378000 | 29753665000 | 33546406000 | 45243994000 | 46766267000 | 48506581000 | 49296641000 | 54793124000 | 58782824000 | 69775305000 | |||||||||||
External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) | DT.DOD.DPPG.CD | 1095383000 | 3726373000 | 4251944000 | 5244684000 | 6357923000 | 7993813000 | 10003055000 | 11703547000 | 13219709000 | 13375753000 | 15020702000 | 15908141000 | 18317287000 | 21492881000 | 22273342000 | 26783034000 | 32618559000 | 40878818000 | 41158743000 | 44240523000 | 47958787000 | 51866693000 | 53640488000 | 57130947000 | 63911004000 | 65299189000 | 60063932000 | 56018358000 | 67535816000 | 73918393000 | 69648946000 | 68497337000 | 71276189000 | 73918480000 | 71860179000 | 77405109000 | 76625371000 | 80314876000 | 87753461000 | 97447152000 | 100292068000 | 102551675000 | |||||||||||
External debt stocks, short-term (DOD, current US$) | DT.DOD.DSTC.CD | 0 | 470797000 | 581820000 | 718000000 | 899000000 | 1135000000 | 1383000000 | 1925000000 | 1786000000 | 2108000000 | 2775000000 | 3274000000 | 3616000000 | 4639000000 | 5408000000 | 6049000000 | 6466000000 | 6360299000 | 6727000000 | 7975000000 | 11135300000 | 14314800000 | 18057100000 | 17987000000 | 19457000000 | 25966300000 | 32230440000 | 32865000000 | 20112700000 | 20029080000 | 21688024000 | 20031024000 | 17626024000 | 19476747000 | 22024000000 | 11022500000 | 12208300000 | 18655399000 | 20488290000 | 24049500000 | 33047270000 | 38173360000 | |||||||||||
Short-term debt (% of total reserves) | DT.DOD.DSTC.IR.ZS | 250.6646258106 | 100.3044735616 | 88.5181368008 | 59.928101154 | 191.6168259927 | 91.9426965374 | 75.8886339411 | 66.7229549691 | 50.1286462018 | 40.7910754818 | 52.4006677857 | 79.251642341 | 94.6238641899 | 94.3809558079 | 100.9976274609 | 122.8198474093 | 89.6451711654 | 106.4106428182 | 119.0398393614 | 128.630774939 | 138.2005723981 | 157.2641639025 | 144.1952030092 | 146.0611022067 | 174.1820898889 | 166.169261856 | 187.9417691865 | 85.2022059799 | 73.2455977052 | 73.88708402 | 71.2755596734 | 55.023576484 | 53.7197639593 | 60.6542401734 | 31.7369599715 | 28.6599726277 | 32.7657067259 | 39.6747515852 | 36.3731003224 | 34.3487540689 | 34.6600113401 | ||||||||||||
Short-term debt (% of exports of goods, services and income) | DT.DOD.DSTC.XP.ZS | 13.1602218828 | 16.9972736674 | 23.3514547468 | 24.4131455399 | 30.0362480759 | 40.4833458552 | 33.7738901869 | 31.4787084698 | 31.3840462792 | 37.4875437651 | 42.8920716726 | 47.5124325747 | 43.244217916 | 42.2353911609 | 47.8826826974 | 55.5725985827 | 50.488524288 | 35.4347795317 | 34.6938214289 | 29.6774910416 | 30.878984837 | 26.2504068626 | 27.6435996342 | 25.969372314 | 10.7789492135 | 10.3781170483 | 13.9250051317 | 12.9308986816 | 17.8511601834 | 18.6993007489 | 17.0051254094 | ||||||||||||||||||||||
Short-term debt (% of total external debt) | DT.DOD.DSTC.ZS | 0 | 9.4495 | 9.9235 | 9.8751 | 9.8781 | 9.8714 | 9.8715 | 11.6875 | 9.8971 | 11.3189 | 13.2536 | 14.3842 | 14.3873 | 15.346 | 16.8867 | 16.4757 | 15.0672 | 12.1088 | 12.445 | 13.4304 | 15.9421 | 18.0008 | 20.5244 | 20.1768 | 18.0477 | 20.8751 | 24.987 | 24.1083 | 13.2786 | 13.1954 | 15.0973 | 15.1352 | 13.758 | 14.5588 | 16.0189 | 7.7722 | 8.9794 | 12.6174 | 12.975 | 13.4059 | 16.9324 | 17.8764 | |||||||||||
IBRD loans and IDA credits (DOD, current US$) | DT.DOD.MWBG.CD | 211174000 | 374870000 | 630653000 | 868753000 | 1059384000 | 1264416000 | 1605480000 | 1940922000 | 2441849000 | 2898976000 | 3176107000 | 4434150000 | 5914558000 | 8256248000 | 8863664000 | 9395822000 | 10384701000 | 11426099000 | 11453393000 | 12079592000 | 12784569000 | 13258744000 | 11874037000 | 10706352000 | 11385830000 | 12106230000 | 12428293000 | 12156957000 | 11522949000 | 10658668000 | 9939149000 | 9132342000 | 8740862000 | 8370641000 | 8973924000 | 10110817000 | 11366849000 | 11993992000 | |||||||||||||||
Present value of external debt (current US$) | DT.DOD.PVLX.CD | 180032557350 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Present value of external debt (% of exports of goods, services and primary income) | DT.DOD.PVLX.EX.ZS | 105.37778747 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Present value of external debt (% of GNI) | DT.DOD.PVLX.GN.ZS | 26.586030829 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Net financial flows, bilateral (NFL, current US$) | DT.NFL.BLAT.CD | 0 | 221430000 | 317928000 | 398351000 | 328844000 | 330585000 | 548734000 | 486122000 | 521087000 | 303444000 | 412494000 | 555359000 | 448746000 | 571594000 | 497968000 | 188224000 | 240137000 | 1181618000 | 1160731000 | 1525866000 | 1297156000 | 1934941000 | 2329560000 | 1490359000 | 1665435000 | 638976000 | 541550000 | 616005000 | 1375568000 | 1950680000 | 817594000 | 559096000 | 6771000 | 94149000 | -1906499000 | -668967000 | -1467450000 | -3187823000 | -2048666000 | -1102758000 | 5853000 | -1579661000 | |||||||||||
Portfolio investment, bonds (PPG + PNG) (NFL, current US$) | DT.NFL.BOND.CD | 97854000 | 62747000 | 39743000 | 41179000 | 311252000 | 358452000 | -44946000 | -40377000 | 268578000 | -102706000 | -158321000 | -176389000 | 26425000 | 382648000 | 155321000 | 8448000 | 2248137000 | 3743795000 | 3119549000 | -1457760000 | -2050260000 | -1376400000 | -405632000 | -350000000 | 1440000000 | 1711203000 | 1565585000 | 1267035000 | 4187047000 | 5112499000 | 2329035000 | 1619000000 | |||||||||||||||||||||
Net official flows from UN agencies, IAEA (current US$) | DT.NFL.IAEA.CD | 470000 | 560000 | 660000 | 560000 | 380000 | ||||||||||||||||||||||||||||||||||||||||||||||||
Net official flows from UN agencies, IFAD (current US$) | DT.NFL.IFAD.CD | 0 | 0 | 470000 | 2730000 | 3590000 | 3510000 | 12080000 | 13230000 | 15550000 | 10780000 | 10090000 | 8640000 | 4390000 | -2270000 | 420000 | -970000 | -30000 | 1620000 | 1670000 | -3830000 | -3830000 | -6810000 | 6670000 | -2780000 | -1090000 | -2230000 | -4560000 | -1440000 | 1700000 | 720000 | -1520000 | 6850000 | |||||||||||||||||||||
Net financial flows, IMF concessional (NFL, current US$) | DT.NFL.IMFC.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
Net financial flows, IMF nonconcessional (NFL, current US$) | DT.NFL.IMFN.CD | 0 | -13130000 | -19814000 | -104884000 | -45438000 | 40831000 | 0 | -75900000 | 0 | 0 | 0 | 0 | 0 | 454000000 | -3700000 | -385320000 | 0 | 606318000 | -56407000 | 0 | -157113000 | -316750000 | -163012000 | 0 | 0 | 0 | 0 | 3029424000 | 5772204000 | 1382434000 | 1122671000 | -1357460000 | -949915000 | 555300000 | -1004916000 | -1144655000 | -8037122000 | 0 | 0 | 0 | 0 | 0 | |||||||||||
Net financial flows, IBRD (NFL, current US$) | DT.NFL.MIBR.CD | 56808000 | 156366000 | 189141000 | 161160000 | 175585000 | 300629000 | 269011000 | 425884000 | 401798000 | 672843000 | 611339000 | 579526000 | 1004135000 | 1219195000 | 783428000 | 436363000 | 790016000 | 326560000 | 430382000 | -55577000 | 89803000 | -503056000 | -245178000 | 479068000 | 732703000 | 290148000 | -280029000 | -706026000 | -949980000 | -825623000 | -805217000 | -706386000 | -601474000 | 146688000 | 908567000 | 1177386000 | 663551000 | ||||||||||||||||
Net financial flows, IDA (NFL, current US$) | DT.NFL.MIDA.CD | 26808000 | 32047000 | 59157000 | 76337000 | 106889000 | 99417000 | 48959000 | 29469000 | 29446000 | 40437000 | 66431000 | 75046000 | 55318000 | 49009000 | 32731000 | 12427000 | 8722000 | -4835000 | -7048000 | -11159000 | -13362000 | -15282000 | -17604000 | -19876000 | -20387000 | -20387000 | -20387000 | -21073000 | -12354000 | 33158000 | 12292000 | 59779000 | 63776000 | 94754000 | 40129000 | 288324000 | 192078000 | 466563000 | 212814000 | 110016000 | -30207000 | ||||||||||||
Net financial flows, multilateral (NFL, current US$) | DT.NFL.MLAT.CD | 0 | 27553000 | 36007000 | 74679000 | 87611000 | 183913000 | 290198000 | 266041000 | 207586000 | 251723000 | 393256000 | 418192000 | 618369000 | 608136000 | 873359000 | 791463000 | 774526000 | 1335564000 | 1699969000 | 1409174000 | 1117056000 | 1317873000 | 776320000 | 862780000 | -34136000 | 488245000 | -1284191000 | -84943000 | 1380113000 | 1479282000 | 634557000 | -48546000 | -291550000 | -908594000 | -738659000 | -289682000 | -99702000 | 163346000 | 921542000 | 1110559000 | 1367139000 | 205969000 | |||||||||||
Net financial flows, others (NFL, current US$) | DT.NFL.MOTH.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2022000 | 3708000 | 3880000 | 12237000 | 7760000 | 12557000 | 11756000 | 15477000 | 1663000 | 24088000 | 95117000 | 12066000 | 812000 | 13036000 | 17396000 | 50276000 | -7703000 | 49529000 | 20995000 | -10584000 | -21733000 | -37460000 | -33856000 | -36293000 | -38258000 | 585000 | 0 | 0 | 0 | 0 | -962000 | |||||||||||
Commercial banks and other lending (PPG + PNG) (NFL, current US$) | DT.NFL.PCBO.CD | -1887000 | 280001000 | 621827000 | 815168000 | 1090968000 | 1749003000 | 1314272000 | 603393000 | 35059000 | 36633000 | 767515000 | 1045697000 | 1089884000 | 2602496000 | 1247091000 | 194508000 | 259674000 | 404055000 | 221036000 | 256383000 | 1772051000 | 1585160000 | 2491962000 | -3413554000 | 1481788000 | 59944000 | 3139182000 | 2879067000 | -3140160000 | -5605665000 | -3018550000 | -2829308000 | -5869554000 | -4808225000 | -3439268000 | -2617447000 | 2047298000 | 1218179000 | 3168683000 | 5872672000 | 3563115000 | 11338425000 | |||||||||||
Net financial flows, RDB concessional (NFL, current US$) | DT.NFL.RDBC.CD | 0 | 745000 | 3960000 | 15522000 | 10613000 | 17697000 | 22929000 | 12171000 | 5134000 | 2473000 | 3249000 | 2200000 | 773000 | -5000 | 911000 | 4592000 | 1792000 | 29076000 | 58182000 | 57097000 | 107862000 | 14880000 | 36911000 | 45391000 | 35387000 | 40274000 | 22553000 | 16939000 | -1298000 | 537000 | 17936000 | 10493000 | 8045000 | 36437000 | 36600000 | 48220000 | 75788000 | 100857000 | 24569000 | 88554000 | 66137000 | 38611000 | |||||||||||
Net financial flows, RDB nonconcessional (NFL, current US$) | DT.NFL.RDBN.CD | 0 | 0 | 0 | 0 | 661000 | 2519000 | 11486000 | 15770000 | 11823000 | 44219000 | 48941000 | 78528000 | 112958000 | 147145000 | 138359000 | 135041000 | 168224000 | 281875000 | 411950000 | 574034000 | 559902000 | 431222000 | 416065000 | 403799000 | -7106000 | 361159000 | -833577000 | 171386000 | 873887000 | 737401000 | 303899000 | 230431000 | 384112000 | -24971000 | -8097000 | 465444000 | 241987000 | 471885000 | 283722000 | -99376000 | 13600000 | -465024000 | |||||||||||
Net official flows from UN agencies, UNAIDS (current US$) | DT.NFL.UNAI.CD | 560000 | 650000 | 690000 | 1170000 | 520000 | 970000 | |||||||||||||||||||||||||||||||||||||||||||||||
Net official flows from UN agencies, UNICEF (current US$) | DT.NFL.UNCF.CD | 2520000 | 4280000 | 2540000 | 3240000 | 7610000 | 3910000 | 3510000 | 2980000 | 4190000 | 7050000 | 10780000 | 13050000 | 13030000 | 9590000 | 11430000 | 7560000 | 9250000 | 10530000 | 11890000 | 11250000 | 9980000 | 11270000 | 14760000 | 13780000 | 11750000 | 13190000 | 13920000 | 10930000 | 7100000 | 7730000 | 6730000 | 5130000 | 5090000 | 5590000 | 5530000 | 6360000 | 7650000 | 5500000 | 5230000 | 6290000 | 6910000 | ||||||||||||
Net official flows from UN agencies, UNHCR (current US$) | DT.NFL.UNCR.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16670000 | 9550000 | 3800000 | 7000000 | 4530000 | 3600000 | 3230000 | 2470000 | 2870000 | 1680000 | 1980000 | 3990000 | 6370000 | 4070000 | 2960000 | 1960000 | 420000 | 580000 | 730000 | 470000 | 870000 | 1140000 | 6090000 | 5760000 | 5920000 | 0 | 1010000 | 240000 | 1080000 | 980000 | 930000 | 960000 | |||||||||||
Net official flows from UN agencies, UNDP (current US$) | DT.NFL.UNDP.CD | 3200000 | 2680000 | 4050000 | 4440000 | 4500000 | 6680000 | 7970000 | 11620000 | 8420000 | 7640000 | 12450000 | 10900000 | 13010000 | 15300000 | 17780000 | 16870000 | 16290000 | 14260000 | 15630000 | 21150000 | 20590000 | 19080000 | 11580000 | 13680000 | 12580000 | 11480000 | 11660000 | 10380000 | 8860000 | 8090000 | 4930000 | 4130000 | 3150000 | 3820000 | 4110000 | 5890000 | 7840000 | 8150000 | 9600000 | 8040000 | 5800000 | 4300000 | 5520000 | ||||||||||
Net official flows from UN agencies, UNECE (current US$) | DT.NFL.UNEC.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net official flows from UN agencies, UNFPA (current US$) | DT.NFL.UNFP.CD | 1530000 | 0 | 6150000 | 5180000 | 2620000 | 2600000 | 2350000 | 4090000 | 2230000 | 3250000 | 4100000 | 5280000 | 2150000 | 3620000 | 2640000 | 2130000 | 5260000 | 850000 | 2860000 | 2290000 | 5390000 | 4070000 | 2500000 | 6780000 | 6150000 | 4480000 | 3340000 | 4290000 | 4320000 | 5020000 | 5360000 | 5610000 | 6270000 | ||||||||||||||||||||
Net official flows from UN agencies, UNPBF (current US$) | DT.NFL.UNPB.CD | 0 | 0 | 0 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||
Net official flows from UN agencies, UNRWA (current US$) | DT.NFL.UNRW.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||||||||||||||||||||||||
Net official flows from UN agencies, UNTA (current US$) | DT.NFL.UNTA.CD | 740000 | 840000 | 1010000 | 1260000 | 1150000 | 1570000 | 1550000 | 1760000 | 2150000 | 2400000 | 2140000 | 380000 | 3200000 | 3120000 | 4040000 | 2720000 | 4550000 | 3630000 | 5140000 | 3650000 | 5230000 | 4310000 | 6650000 | 5780000 | 8650000 | 6040000 | 12930000 | 3670000 | 6590000 | 3960000 | 6650000 | 6630000 | 6410000 | 7110000 | 6780000 | 6880000 | 9350000 | 5480000 | 6750000 | 1110000 | 0 | 0 | |||||||||||
Net official flows from UN agencies, WFP (current US$) | DT.NFL.WFPG.CD | 640000 | 370000 | 740000 | 1420000 | 8180000 | 6950000 | 17620000 | 6220000 | 5960000 | 6830000 | 12220000 | 4630000 | 12310000 | 7850000 | 15990000 | 10050000 | 4420000 | 8980000 | 5240000 | 2680000 | 7600000 | 7960000 | 7630000 | 14740000 | 3560000 | 5600000 | 1170000 | 0 | 0 | 1940000 | 50000 | 10000 | 240000 | 380000 | 20000 | 620000 | 7570000 | 67070000 | 20000 | 560000 | 2740000 | 460000 | |||||||||||
Net official flows from UN agencies, WHO (current US$) | DT.NFL.WHOL.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net official development assistance and official aid received (current US$) | DT.ODA.ALLD.CD | 83080000 | 113800000 | 157730000 | 108150000 | 66900000 | 42870000 | 82930000 | 229440000 | 326030000 | 328680000 | 465080000 | 585240000 | 498920000 | 612830000 | 660540000 | 686670000 | 666630000 | 512920000 | 631060000 | 718910000 | 945910000 | 971870000 | 901770000 | 742220000 | 670680000 | 601470000 | 709110000 | 1244160000 | 1630260000 | 1835460000 | 1715860000 | 1824480000 | 1969230000 | 1931720000 | 1548420000 | 1301190000 | 1070620000 | 805520000 | 1254140000 | 2122660000 | 1653000000 | 1464810000 | 1304650000 | 1771570000 | 131870000 | 2533990000 | 1318320000 | 903880000 | 1230620000 | 1046530000 | 1392510000 | ||
Net official development assistance and official aid received (constant 2010 US$) | DT.ODA.ALLD.KD | 831720000 | 1157460000 | 1411170000 | 802060000 | 552340000 | 463820000 | 765960000 | 2074150000 | 2493210000 | 2271760000 | 3154710000 | 3605200000 | 2730790000 | 2879690000 | 2877660000 | 2696310000 | 2487850000 | 1708460000 | 1766370000 | 1878580000 | 2335630000 | 2409770000 | 2352020000 | 1923410000 | 1784630000 | 1620510000 | 1517420000 | 2145130000 | 2521830000 | 2931500000 | 2643600000 | 2622280000 | 2602490000 | 2454890000 | 1867590000 | 1457250000 | 1254300000 | 1061750000 | 1704210000 | 2609660000 | 2184000000 | 2068420000 | 1856830000 | 2246420000 | 201520000 | 3030820000 | 1504200000 | 919330000 | 1207280000 | 1111630000 | 1392510000 | ||
Net official aid received (current US$) | DT.ODA.OATL.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net official aid received (constant 2010 US$) | DT.ODA.OATL.KD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net official development assistance received (current US$) | DT.ODA.ODAT.CD | 83080000 | 113800000 | 157730000 | 108150000 | 66900000 | 42870000 | 82930000 | 229440000 | 326030000 | 328680000 | 465080000 | 585240000 | 498920000 | 612830000 | 660540000 | 686670000 | 666630000 | 512920000 | 631060000 | 718910000 | 945910000 | 971870000 | 901770000 | 742220000 | 670680000 | 601470000 | 709110000 | 1244160000 | 1630260000 | 1835460000 | 1715860000 | 1824480000 | 1969230000 | 1931720000 | 1548420000 | 1301190000 | 1070620000 | 805520000 | 1254140000 | 2122660000 | 1653000000 | 1464810000 | 1304650000 | 1771570000 | 131870000 | 2533990000 | 1318320000 | 903880000 | 1230620000 | 1046530000 | 1392510000 | ||
Net ODA received (% of gross capital formation) | DT.ODA.ODAT.GI.ZS | 41.1771406415 | 42.6313492754 | 27.5101812863 | 30.4207002242 | 32.3398880704 | 19.6822917248 | 17.1511733359 | 12.427253652 | 9.0261172631 | 7.0320337066 | 4.5323687749 | 4.8652713191 | 5.2533676625 | 5.0377505969 | 3.937077935 | 3.4301206808 | 2.7758645883 | 2.8527965728 | 2.4632547998 | 2.9977327732 | 5.4268953866 | 6.3656242199 | 5.5556257755 | 4.8895207331 | 4.5113404362 | 4.6444432339 | 4.1472862315 | 2.8184907363 | 2.0161923692 | 1.5342097061 | 1.1758903882 | 7.8330112865 | 13.3378865493 | 4.5028511472 | 4.0505132918 | 3.1152596236 | 2.9477908737 | 0.2134315408 | 3.5341622977 | 1.4236454811 | 0.8391820989 | 0.8670559022 | 0.6259529302 | 0.6037714027 | |||||||||
Net ODA received (% of GNI) | DT.ODA.ODAT.GN.ZS | 3.8055465545 | 4.3417133402 | 3.7112354028 | 4.7956957776 | 5.9377032973 | 4.3538158969 | 3.6320648128 | 2.4956219948 | 2.1914213671 | 1.7160084029 | 1.0778467175 | 1.1850269163 | 1.3631161762 | 1.2644790888 | 1.086774767 | 1.0005748628 | 0.9065119654 | 0.8129459099 | 0.7266186506 | 0.9329874103 | 1.7302981296 | 1.925161227 | 1.894299139 | 1.571174386 | 1.6431794397 | 1.6155094821 | 1.2709313804 | 0.8994641239 | 0.6632368145 | 0.4838382254 | 0.3846066271 | 1.3925064685 | 1.641175936 | 1.0996728139 | 1.021399858 | 0.7568551849 | 0.7847595717 | 0.0538132374 | 0.9317584319 | 0.377701183 | 0.2180959906 | 0.2500692864 | 0.2009873634 | 0.2023646423 | |||||||||
Net official development assistance received (constant 2010 US$) | DT.ODA.ODAT.KD | 831720000 | 1157460000 | 1411170000 | 802060000 | 552340000 | 463820000 | 765960000 | 2074150000 | 2493210000 | 2271760000 | 3154710000 | 3605200000 | 2730790000 | 2879690000 | 2877660000 | 2696310000 | 2487850000 | 1708460000 | 1766370000 | 1878580000 | 2335630000 | 2409770000 | 2352020000 | 1923410000 | 1784630000 | 1620510000 | 1517420000 | 2145130000 | 2521830000 | 2931500000 | 2643600000 | 2622280000 | 2602490000 | 2454890000 | 1867590000 | 1457250000 | 1254300000 | 1061750000 | 1704210000 | 2609660000 | 2184000000 | 2068420000 | 1856830000 | 2246420000 | 201520000 | 3030820000 | 1504200000 | 919330000 | 1207280000 | 1111630000 | 1392510000 | ||
Net ODA received (% of imports of goods and services) | DT.ODA.ODAT.MP.ZS | 3.7824783996 | 3.3733727368 | 2.8201991033 | 2.7742709411 | 2.7154401806 | 3.5205540661 | 5.8722801718 | 7.0816211285 | 6.83394147 | 5.1823014195 | 4.8144395187 | 4.7616548989 | 4.3667518141 | 3.1294488571 | 2.1109164355 | 1.6076099524 | 1.134263627 | 2.3169398174 | 3.9409470521 | 2.4707285548 | 2.4623405251 | 2.1365907739 | 2.7586581222 | 0.1562747961 | 2.3732075212 | 1.1808819605 | 0.7029604709 | 0.7518320914 | 0.8133353738 | 0.7902290905 | |||||||||||||||||||||||
Net ODA received per capita (current US$) | DT.ODA.ODAT.PC.ZS | 0.9035678226 | 1.2077375307 | 1.633115968 | 1.0922231189 | 0.6588614596 | 0.4116309172 | 0.7762087643 | 2.0931870948 | 2.8990492162 | 2.8486971059 | 3.9293102653 | 4.8205293863 | 4.0071403109 | 4.8003994414 | 5.0475518216 | 5.1203553824 | 4.8523797591 | 3.6457964462 | 4.3815480905 | 4.8771509309 | 6.2717791012 | 6.2995773617 | 5.7161442519 | 4.6030379331 | 4.0719600857 | 3.577639959 | 4.135419038 | 7.1189486683 | 9.1584141729 | 10.1295887685 | 9.3078264122 | 9.7330620458 | 10.3364903083 | 9.9817260397 | 7.8804633632 | 6.5255154857 | 5.2933633623 | 3.9281496985 | 6.0341815934 | 10.0785916101 | 7.7461834453 | 6.7751447445 | 5.9565888335 | 7.9858281156 | 0.587115608 | 11.1480624941 | 5.7338566949 | 3.8882956682 | 5.2377695493 | 4.4080290885 | 5.8052468441 | ||
Net ODA received (% of central government expense) | DT.ODA.ODAT.XP.ZS | 13.9214387152 | 13.1350160948 | 11.4154703879 | 8.9193796886 | 6.775324104 | 4.7449636297 | 2.9780829764 | 9.9698057269 | 9.370179348 | 4.3318870472 | 4.9344885715 | 0.32418591 | 5.3606730936 | 2.0311315981 | 1.2189641962 | 1.3075692045 | 1.2315101424 | 1.3639363734 | |||||||||||||||||||||||||||||||||||
Debt service on external debt, total (TDS, current US$) | DT.TDS.DECT.CD | 4596000 | 235690000 | 323171000 | 549852000 | 741793000 | 1060245000 | 1340039000 | 2057224000 | 2832918000 | 3064726000 | 3084303000 | 3492124000 | 3856131000 | 3741249000 | 4846087000 | 5822696000 | 5983760000 | 7001329000 | 8641907000 | 9832537000 | 9945737000 | 11469027000 | 12454820000 | 14086664000 | 14264883000 | 16418453000 | 21545038000 | 19738959000 | 18311943000 | 17679123000 | 16637729000 | 15482978000 | 16881606000 | 18479803000 | 20500576000 | 20258166000 | 28319638000 | 23960624000 | 21377183000 | 24897916000 | 29342342000 | 31240472000 | |||||||||||
Total debt service (% of exports of goods, services and income) | DT.TDS.DECT.EX.ZS | 14.0369965431 | 18.1260270753 | 18.8324222289 | 21.8765213073 | 28.9125378619 | 37.4640621087 | 37.1778302889 | 40.4394337857 | 38.6940183385 | 33.4828204956 | 34.3651555103 | 32.7715300618 | 33.8670577487 | 30.9648411045 | 30.2761492928 | 37.1485387175 | 30.3237763849 | 32.2621857335 | 30.6232905546 | 22.7667607408 | 23.8679082454 | 25.141746431 | 26.2286240844 | 24.173042626 | 20.8809976966 | 25.19043536 | 18.8172444717 | 14.1381556693 | 19.3885871822 | 17.39459702 | 14.5012607133 | ||||||||||||||||||||||
Total debt service (% of GNI) | DT.TDS.DECT.GN.ZS | 0.0473918848 | 2.3912536569 | 2.8201455889 | 3.2588125605 | 2.8026083604 | 3.3836392261 | 3.449466997 | 4.323036995 | 5.319754194 | 5.8109882824 | 4.1230525599 | 3.9049998936 | 4.2786383959 | 4.5693823718 | 5.8740481388 | 7.0342319819 | 7.872929089 | 9.7370004451 | 10.205160087 | 10.1477375556 | 9.1070875387 | 10.3293373233 | 10.2176382686 | 9.268001223 | 8.2863502734 | 8.3687412808 | 9.736706723 | 9.4246380514 | 20.332258821 | 13.6689583998 | 11.068395805 | 10.7961520815 | 9.7933783247 | 8.1860735323 | 8.3658327442 | 7.4490100531 | 8.1136300549 | 5.7814267684 | 4.3439704365 | 4.7816751457 | 4.2641363737 | 3.7973306806 | |||||||||||
Debt service (PPG and IMF only, % of exports, excluding workers' remittances) | DT.TDS.DPPF.XP.ZS | 8.1964948951 | 10.511098054 | 12.7557082452 | 14.7232168653 | 21.8103977357 | 29.3999499123 | 30.2630044605 | 32.9686803931 | 30.5652552044 | 25.6219263399 | 23.7446095763 | 21.9529482963 | 21.4481968553 | 19.0845728054 | 17.5003522101 | 20.2584788868 | 13.7010584693 | 12.8887974141 | 16.655101807 | 11.127564868 | 13.6797238266 | 13.6275139482 | 12.7174827806 | 13.6285223634 | 9.3980545827 | 14.7682502142 | 8.0557555581 | 5.8063646798 | 7.3133878861 | 5.0174462526 | |||||||||||||||||||||||
Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) | DT.TDS.DPPG.CD | 4596000 | 104681000 | 140415000 | 207968000 | 291995000 | 523916000 | 761039000 | 1262324000 | 2064918000 | 2103726000 | 1763303000 | 2039124000 | 2236131000 | 2524099000 | 3228217000 | 3987606000 | 4691830000 | 5677151000 | 6947864000 | 7715739000 | 7394736000 | 7576614000 | 8175298000 | 8921163000 | 8791881000 | 9490266000 | 11749310000 | 8918567000 | 7133893000 | 9249321000 | 7605836000 | 6651881000 | 6512098000 | 7426164000 | 10297826000 | 8152817000 | 9043414000 | 10792336000 | 9200546000 | 9865053000 | 8879436000 | 9779860000 | |||||||||||
Public and publicly guaranteed debt service (% of GNI) | DT.TDS.DPPG.GN.ZS | 0.0473918848 | 1.0620680727 | 1.2253288286 | 1.2325657278 | 1.1032021443 | 1.6720123451 | 1.9590317251 | 2.6526393585 | 3.8775764744 | 3.9888483132 | 2.3571584724 | 2.280210841 | 2.4811387255 | 3.0828136473 | 3.9129924949 | 4.8173124024 | 6.1731160487 | 7.8954184004 | 8.2046780164 | 7.9630815953 | 6.7711933341 | 6.8237176331 | 6.7068201469 | 5.869476946 | 5.1071295522 | 4.8373364311 | 5.3097880666 | 4.2582927454 | 7.9209595004 | 7.1512927409 | 5.0598494107 | 4.6383014239 | 3.7778064126 | 3.2895980854 | 4.202315581 | 2.9978239784 | 2.5909552809 | 2.6040682515 | 1.8696055427 | 1.894595465 | 1.2903920902 | 1.1887580453 | |||||||||||
Public and publicly guaranteed debt service (% of exports, excluding workers' remittances) | DT.TDS.DPPG.XP.ZS | 8.1964948951 | 10.511098054 | 12.7056226719 | 14.5730272662 | 19.8004171011 | 29.3753443526 | 30.146298853 | 32.5122321011 | 30.3637755303 | 24.8947481821 | 22.7021453826 | 21.5111116958 | 21.4481968553 | 19.0845728054 | 17.5003522101 | 20.2584788868 | 13.7010584693 | 12.5685723775 | 16.0214194118 | 10.4076853545 | 10.2542602184 | 9.6984562162 | 10.5400508839 | 12.1425752551 | 7.9726741112 | 7.6876886224 | 8.0557555581 | 5.8067963769 | 7.3225073836 | 5.0242953274 | 4.3566441567 | ||||||||||||||||||||||
Multilateral debt service (TDS, current US$) | DT.TDS.MLAT.CD | 0 | 155000 | 384000 | 893000 | 1515000 | 4213000 | 9238000 | 37863000 | 71849000 | 112458000 | 145140000 | 183014000 | 256659000 | 316968000 | 383669000 | 489369000 | 786054000 | 1032716000 | 1272709000 | 1385610000 | 1666554000 | 1878040000 | 2073824000 | 2281237000 | 3282873000 | 2691754000 | 4217865000 | 2690851000 | 2027596000 | 2306079000 | 2498761000 | 2531319000 | 2784476000 | 2931058000 | 2852203000 | 2821883000 | 2807708000 | 2832154000 | 2709064000 | 2493611000 | 2332892000 | 2248782000 | |||||||||||
Multilateral debt service (% of public and publicly guaranteed debt service) | DT.TDS.MLAT.PG.ZS | 0.148068895 | 0.2734750561 | 0.4293929835 | 0.5188445008 | 0.804136541 | 1.2138668321 | 2.9994676486 | 3.4795086294 | 5.3456581323 | 8.2311434847 | 8.9751285356 | 11.477815924 | 12.557669093 | 11.8848578023 | 12.2722505684 | 16.753676071 | 18.1907439136 | 18.3179895289 | 17.9582279805 | 22.537031748 | 24.7873258424 | 25.3669529845 | 25.5710718434 | 37.3398252319 | 28.3633145794 | 35.8988315059 | 30.1713380636 | 28.4220130579 | 24.9324139577 | 32.8532064062 | 38.0541834708 | 42.7585088554 | 39.4693411026 | 27.6971372404 | 34.6123677252 | 31.0469917666 | 26.2422704408 | 29.4446003531 | 25.2772184802 | 26.2729749953 | 22.9940101392 | ||||||||||||
Agriculture value added per worker (constant 2000 US$) | EA.PRD.AGRI.KD | 449.807084493 | 461.4537710268 | 455.4879928065 | 455.7489937735 | 468.4479064463 | 480.0048618479 | 450.7781515192 | 447.7818992323 | 457.0343063639 | 487.3282595425 | 492.7884959695 | 489.68718133 | 514.9135791969 | 520.3094294167 | 518.5539872896 | 530.3155991939 | 536.9412153213 | 538.9440321265 | 534.6182332015 | 523.2577086709 | 531.5357954726 | 548.0392073952 | 566.7891413259 | 584.621129982 | 597.9048307406 | 611.3911721802 | 639.7088307769 | 652.1617182718 | 682.8915016876 | 709.6946452073 | 730.0130066562 | ||||||||||||||||||||||
Water pollution, clay and glass industry (% of total BOD emissions) | EE.BOD.CGLS.ZS | 3.50944 | 3.59607 | 3.90819 | 3.99337 | |||||||||||||||||||||||||||||||||||||||||||||||||
Water pollution, chemical industry (% of total BOD emissions) | EE.BOD.CHEM.ZS | 12.91518 | 11.89353 | 12.04421 | 13.53567 | 13.15551 | 13.12885 | 12.61799 | 13.04369 | 11.99822 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, food industry (% of total BOD emissions) | EE.BOD.FOOD.ZS | 20.96202 | 19.89326 | 19.90442 | 19.85632 | 20.81878 | 21.71315 | 22.81393 | 21.52523 | 23.10878 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, metal industry (% of total BOD emissions) | EE.BOD.MTAL.ZS | 1.40621 | 1.39972 | 1.43729 | 1.65974 | 1.35397 | 1.31883 | 1.32603 | 1.33831 | 1.3804 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, other industry (% of total BOD emissions) | EE.BOD.OTHR.ZS | 18.98535 | 19.38947 | 19.3029 | 18.82698 | 18.663 | 18.11637 | 18.67681 | 19.80799 | 19.91532 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, paper and pulp industry (% of total BOD emissions) | EE.BOD.PAPR.ZS | 4.36571 | 3.79012 | 3.94472 | 3.86134 | 3.73951 | 3.79333 | 3.75373 | 3.99829 | 4.05052 | ||||||||||||||||||||||||||||||||||||||||||||
Organic water pollutant (BOD) emissions (kg per day) | EE.BOD.TOTL.KG | 721773.6 | 719264.7 | 747562.8 | 752137.6 | 718931.7 | 731009.3 | 749807.2 | 764028.2 | 882985.4 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, textile industry (% of total BOD emissions) | EE.BOD.TXTL.ZS | 31.14417 | 33.41748 | 33.99936 | 32.67336 | 32.75858 | 30.44515 | 29.44012 | 28.98528 | 29.24901 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, wood industry (% of total BOD emissions) | EE.BOD.WOOD.ZS | 10.22135 | 10.21643 | 9.3671 | 9.58659 | 9.51066 | 7.97486 | 7.77531 | 7.39303 | 6.30437 | ||||||||||||||||||||||||||||||||||||||||||||
Organic water pollutant (BOD) emissions (kg per day per worker) | EE.BOD.WRKR.KG | 0.1836406 | 0.1780564 | 0.1791612 | 0.1796165 | 0.1819151 | 0.1824113 | 0.1855565 | 0.1809292 | 0.1866375 | ||||||||||||||||||||||||||||||||||||||||||||
Energy production (kt of oil equivalent) | EG.EGY.PROD.KT.OE | 71730.754 | 81683.665 | 94886.647 | 97022.68 | 94304.981 | 105659.843 | 118118.546 | 119761.756 | 121392.186 | 125048.813 | 127378.594 | 114174.089 | 117085.612 | 133939.355 | 127975.188 | 136332.107 | 136870.299 | 139569.773 | 149102.31 | 168508.653 | 183105.775 | 187335.07 | 194227.155 | 207453.244 | 214479.23 | 222666.173 | 227601.172 | 229070.799 | 238015.443 | 236617.616 | 241564.258 | 248016.314 | 254879.023 | 264873.662 | 279941.002 | 313988.601 | 318303.736 | 323631.952 | 351828.268 | 381445.704 | |||||||||||||
Access to electricity (% of population) | EG.ELC.ACCS.ZS | 64.5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Electricity production from coal sources (kWh) | EG.ELC.COAL.KH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 339000000 | 4687000000 | 6337000000 | 6857000000 | 8251000000 | 9768000000 | 11046000000 | 11362000000 | 10681000000 | 12805000000 | 14367000000 | 17038000000 | 20816000000 | 24170000000 | 29365000000 | 34002000000 | 37713000000 | 42929000000 | 46459000000 | 48211000000 | 51793000000 | 58630000000 | 63817000000 | 61392000000 | 65754000000 | 68114000000 | ||||||||||||||||||||
Electricity production from coal sources (% of total) | EG.ELC.COAL.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.4045963967 | 24.0272722612 | 27.5821545158 | 27.2092377287 | 29.7698080531 | 29.9017356966 | 29.5822174612 | 27.3697395996 | 23.5264317181 | 24.9328244869 | 24.2714510162 | 25.1579942118 | 27.8933897919 | 30.97209052 | 34.179130536 | 36.4339673185 | 37.245935963 | 39.6693680291 | 40.5875980641 | 40.1213351864 | 40.6634215278 | 44.0469393275 | 44.8672970788 | 41.0821951725 | 41.9352164236 | 40.1177960362 | ||||||||||||||||||||
Electricity production from oil, gas and coal sources (% of total) | EG.ELC.FOSL.ZS | 55.979498861 | 66.9504256385 | 56.5400843882 | 58.4188521475 | 60.1003344482 | 57.1764705882 | 64.126574104 | 71.8068853127 | 76.8746976294 | 82.071447614 | 81.0735447891 | 86.7953083617 | 83.2782824112 | 82.8586110703 | 77.2024400624 | 73.0250679243 | 77.471164309 | 75.0287686997 | 72.2362534276 | 79.0828665014 | 79.4429566149 | 76.1616842917 | 80.2246696035 | 84.343237665 | 83.5369047016 | 84.4693166381 | 89.660578611 | 84.2346036546 | 85.876738637 | 84.043932494 | 82.5251348095 | 85.0467116996 | 86.5392343578 | 86.3934821867 | 86.3774829238 | 87.7445382697 | 87.1037367736 | 86.6940583657 | 86.7715993087 | 84.0221456548 | |||||||||||||
Electricity production from hydroelectric sources (kWh) | EG.ELC.HYRO.KH | 773000000 | 660000000 | 1030000000 | 1094000000 | 1193000000 | 1092000000 | 1111000000 | 1384000000 | 1434000000 | 1345000000 | 1629000000 | 1318000000 | 1816000000 | 2118000000 | 2990000000 | 5030000000 | 4457000000 | 5281000000 | 6688000000 | 5708000000 | 6627000000 | 8812000000 | 7884000000 | 6102000000 | 7530000000 | 8161000000 | 5106000000 | 9681000000 | 9401000000 | 10016000000 | 11655000000 | 9933000000 | 9099000000 | 9674000000 | 10725000000 | 9623000000 | 11286000000 | 11528000000 | 11384000000 | 17676000000 | |||||||||||||
Electricity production from hydroelectric sources (% of total) | EG.ELC.HYRO.ZS | 44.020501139 | 33.0495743615 | 43.4599156118 | 41.5811478525 | 39.8996655518 | 42.8235294118 | 35.873425896 | 28.1931146873 | 23.1253023706 | 17.928552386 | 18.9264552109 | 12.4668936814 | 14.9958711808 | 15.5483776244 | 21.2086820826 | 25.7856154201 | 19.3993471164 | 20.9555176382 | 24.1304661567 | 17.4732910889 | 17.7477236208 | 21.2270854913 | 17.3656387665 | 11.8813037891 | 12.7210987786 | 12.050380958 | 6.8420276844 | 12.405494759 | 10.9422103242 | 10.7323868203 | 11.5106563691 | 9.1787796742 | 7.9490853179 | 8.0507310903 | 8.4203501609 | 7.2294678006 | 7.9347558618 | 7.7142876262 | 7.2602503842 | 10.4108136761 | |||||||||||||
Electric power transmission and distribution losses (kWh) | EG.ELC.LOSS.KH | 64000000 | 73000000 | 405000000 | 186000000 | 187000000 | 94000000 | 114000000 | 443000000 | 630000000 | 694000000 | 716000000 | 1083000000 | 1666000000 | 2082000000 | 939000000 | 4007000000 | 5057000000 | 4285000000 | 3210000000 | 3183000000 | 4491000000 | 5029000000 | 4777000000 | 4809000000 | 7277000000 | 8313000000 | 7431000000 | 9920000000 | 11435000000 | 10745000000 | 13024000000 | 17471000000 | 19985000000 | 14242000000 | 14237000000 | 14736000000 | 15239000000 | 15094000000 | 15048000000 | 15954000000 | |||||||||||||
Electric power transmission and distribution losses (% of output) | EG.ELC.LOSS.ZS | 3.6446469248 | 3.6554832248 | 17.0886075949 | 7.0695553022 | 6.254180602 | 3.6862745098 | 3.6809815951 | 9.0242411897 | 10.1596516691 | 9.2508664356 | 8.3188102707 | 10.2440408627 | 13.7572254335 | 15.2840992512 | 6.6605192226 | 20.5413441329 | 22.0108813928 | 17.0032935201 | 11.5817578294 | 9.7437781247 | 12.0273165506 | 12.1142774553 | 10.5220264317 | 9.3636823864 | 12.2936833747 | 12.2748213336 | 9.9575220765 | 12.7117558113 | 13.3096665309 | 11.5135279936 | 12.8627017204 | 16.1444135395 | 17.4593329023 | 11.8522340488 | 11.1776713512 | 11.0707094991 | 10.7139592927 | 10.1005775009 | 9.5969999809 | 9.3965898048 | |||||||||||||
Electricity production from natural gas sources (kWh) | EG.ELC.NGAS.KH | 0 | 0 | 0 | 0 | 0 | 0 | 11000000 | 0 | 4000000 | 0 | 0 | 0 | 73000000 | 156000000 | 274000000 | 383000000 | 393000000 | 661000000 | 804000000 | 734000000 | 1051000000 | 1076000000 | 4844000000 | 18716000000 | 25401000000 | 29208000000 | 29953000000 | 27199000000 | 29167000000 | 26090000000 | 26220000000 | 23845000000 | 24409000000 | 19629000000 | 19086000000 | 19448000000 | 22372000000 | 25212000000 | 34763000000 | 40038000000 | |||||||||||||
Electricity production from natural gas sources (% of total) | EG.ELC.NGAS.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0.3551824346 | 0 | 0.0645057249 | 0 | 0 | 0 | 0.602807597 | 1.145206284 | 1.9435380905 | 1.9633977547 | 1.710554951 | 2.6229117892 | 2.9008514937 | 2.2469158478 | 2.8146759507 | 2.5919591453 | 10.6696035242 | 36.4422290588 | 42.9121686686 | 43.1279900774 | 40.1369477535 | 34.8535328942 | 33.9486701973 | 27.956067506 | 25.8952732732 | 22.0344308196 | 21.3242360177 | 16.3353112023 | 14.9846902724 | 14.6106920696 | 15.7288993567 | 16.8713237016 | 22.1704220052 | 23.5815884795 | |||||||||||||
Electricity production from nuclear sources (kWh) | EG.ELC.NUCL.KH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||||
Electricity production from nuclear sources (% of total) | EG.ELC.NUCL.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||||
Electricity production from oil sources (kWh) | EG.ELC.PETR.KH | 983000000 | 1337000000 | 1340000000 | 1537000000 | 1797000000 | 1458000000 | 1975000000 | 3525000000 | 4763000000 | 6157000000 | 6978000000 | 9176000000 | 10012000000 | 11131000000 | 10271000000 | 9175000000 | 11069000000 | 11390000000 | 10966000000 | 15332000000 | 17567000000 | 19179000000 | 20897000000 | 11796000000 | 9680000000 | 10960000000 | 16142000000 | 14366000000 | 15249000000 | 18342000000 | 19627000000 | 25261000000 | 28190000000 | 35973000000 | 39140000000 | 38717000000 | 37703000000 | 42949000000 | 35540000000 | 34505000000 | |||||||||||||
Electricity production from oil sources (% of total) | EG.ELC.PETR.ZS | 55.979498861 | 66.9504256385 | 56.5400843882 | 58.4188521475 | 60.1003344482 | 57.1764705882 | 63.7713916694 | 71.8068853127 | 76.8101919045 | 82.071447614 | 81.0735447891 | 86.7953083617 | 82.6754748142 | 81.7134047864 | 72.8543055753 | 47.0343979084 | 48.1784548422 | 45.1966191818 | 39.5655938808 | 46.934214957 | 47.046063203 | 46.1999855467 | 46.0286343612 | 22.9681841193 | 16.3532850168 | 16.1833323489 | 21.6302410656 | 18.4089802404 | 17.7489379037 | 19.6538976694 | 19.3839255733 | 23.342912851 | 24.6274002761 | 29.936835798 | 30.7293711235 | 29.0869068726 | 26.5075403382 | 28.7405394916 | 22.6659608799 | 20.3227611391 | |||||||||||||
Electricity production (kWh) | EG.ELC.PROD.KH | 1756000000 | 1997000000 | 2370000000 | 2631000000 | 2990000000 | 2550000000 | 3097000000 | 4909000000 | 6201000000 | 7502000000 | 8607000000 | 10572000000 | 12110000000 | 13622000000 | 14098000000 | 19507000000 | 22975000000 | 25201000000 | 27716000000 | 32667000000 | 37340000000 | 41513000000 | 45400000000 | 51358000000 | 59193000000 | 67724000000 | 74627000000 | 78038000000 | 85915000000 | 93325000000 | 101254000000 | 108217000000 | 114466000000 | 120163000000 | 127370000000 | 133108000000 | 142235000000 | 149437000000 | 156799000000 | 169785000000 | |||||||||||||
Electricity production from renewable sources (kWh) | EG.ELC.RNEW.KH | 773000000 | 660000000 | 1030000000 | 1094000000 | 1193000000 | 1092000000 | 1111000000 | 1384000000 | 1434000000 | 1345000000 | 1629000000 | 1396000000 | 2025000000 | 2335000000 | 3214000000 | 5262000000 | 5176000000 | 6293000000 | 7695000000 | 6833000000 | 7676000000 | 9896000000 | 8978000000 | 8041000000 | 9745000000 | 10518000000 | 7716000000 | 12303000000 | 12134000000 | 14891000000 | 17694000000 | 16182000000 | 15408000000 | 16350000000 | 17351000000 | 16313000000 | 18343000000 | 19884000000 | 20742000000 | 27128000000 | |||||||||||||
Electricity production from renewable sources, excluding hydroelectric (kWh) | EG.ELC.RNWX.KH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78000000 | 209000000 | 217000000 | 224000000 | 232000000 | 719000000 | 1012000000 | 1007000000 | 1125000000 | 1049000000 | 1084000000 | 1094000000 | 1939000000 | 2215000000 | 2357000000 | 2610000000 | 2622000000 | 2733000000 | 4875000000 | 6039000000 | 6249000000 | 6309000000 | 6676000000 | 6626000000 | 6690000000 | 7057000000 | 8356000000 | 9358000000 | 9452000000 | |||||||||||||
Electricity production from renewable sources, excluding hydroelectric (% of total) | EG.ELC.RNWX.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.7377979569 | 1.7258464079 | 1.5930113052 | 1.588877855 | 1.1893166556 | 3.1294885745 | 4.0157136622 | 3.6332804156 | 3.4438424098 | 2.8093197643 | 2.611230217 | 2.40969163 | 3.7754585459 | 3.7419965199 | 3.4803024039 | 3.4973937047 | 3.3599015864 | 3.1810510388 | 5.2236806858 | 5.9642088214 | 5.7745086262 | 5.5116803243 | 5.555786723 | 5.2021669153 | 5.0259939297 | 4.9615073646 | 5.591654008 | 5.9681503071 | 5.5670406691 | |||||||||||||
GDP per unit of energy use (PPP $ per kg of oil equivalent) | EG.GDP.PUSE.KO.PP | 1.7098844457 | 1.9218225036 | 2.0115316698 | 2.2269806618 | 2.3830162204 | 2.4542979535 | 2.4103260195 | 2.5297145397 | 2.710281201 | 2.9031811352 | 2.7112710308 | 2.9110825483 | 3.0573943796 | 3.0508303924 | 3.3433299413 | 3.3622171863 | 3.5542801624 | 3.669588895 | 3.304775227 | 3.2244504583 | 3.2010357513 | 3.302275537 | 3.3832373109 | 3.6206629258 | 3.6462919919 | 3.9064529905 | 4.1423684635 | 4.5502860734 | 4.8715777456 | 4.8625304035 | 4.9667098742 | ||||||||||||||||||||||
GDP per unit of energy use (constant 2005 PPP $ per kg of oil equivalent) | EG.GDP.PUSE.KO.PP.KD | 3.5812734241 | 3.6802424173 | 3.6308155988 | 3.8667506765 | 3.9879046953 | 3.9854777224 | 3.8284692493 | 3.9037249354 | 4.0416220427 | 4.172218785 | 3.7540458214 | 3.8982304588 | 4.0096991479 | 3.9152531921 | 4.2050143945 | 4.1326260218 | 4.2926859815 | 4.3481283929 | 3.8616077353 | 3.7133008606 | 3.6082633265 | 3.639863423 | 3.6695132032 | 3.8460136288 | 3.7673220098 | 3.9064529905 | 4.0129126433 | 4.2838874832 | 4.4871426898 | 4.4206157699 | 4.4836582959 | ||||||||||||||||||||||
Energy imports, net (% of energy use) | EG.IMP.CONS.ZS | -104.6339911488 | -123.8579836102 | -148.6617403399 | -145.2457832262 | -129.2519939008 | -145.7160050844 | -147.2270513929 | -134.2123763116 | -126.8318462589 | -124.4565412202 | -117.2545250474 | -90.0198830537 | -91.3585240146 | -110.6537209051 | -94.3910351103 | -87.7296713031 | -82.5028498424 | -81.1622107552 | -83.1504919486 | -70.8620660914 | -76.9924384758 | -73.7153521065 | -63.9695947984 | -74.9085091883 | -63.953192602 | -64.250599899 | -62.4255328083 | -67.1202718313 | -65.6663133145 | -52.5301448939 | -51.5605660287 | -50.1215526286 | -54.3189759061 | -49.5646501838 | -55.0822496658 | -69.367542885 | -72.3531497872 | -73.1405144311 | -77.2308734326 | -83.520920336 | |||||||||||||
Alternative and nuclear energy (% of total energy use) | EG.USE.COMM.CL.ZS | 0.1896488982 | 0.1555534898 | 0.232134422 | 0.2378176347 | 0.2494120228 | 0.218395947 | 0.1999817696 | 0.232769582 | 0.2304416086 | 0.2076220278 | 0.2389416815 | 0.4118442339 | 0.8425418575 | 0.8732703534 | 0.9756023242 | 1.1449391394 | 2.1594705538 | 2.8480272303 | 2.8332782457 | 2.459038202 | 2.2942861277 | 2.4310199578 | 2.1545445903 | 3.2474838124 | 3.3996758305 | 3.500744481 | 3.5097215106 | 3.8900950538 | 3.8274091748 | 5.9518040111 | 7.1348093606 | 7.0090084136 | 7.0258548243 | 6.9318301463 | 6.8012375136 | 6.6212582992 | 7.0620227162 | 8.1733781622 | 8.543713145 | 8.4716404807 | |||||||||||||
Fossil fuel energy consumption (% of total) | EG.USE.COMM.FO.ZS | 24.6718302091 | 26.8778836043 | 29.2229327739 | 31.5055031158 | 32.6164161818 | 34.4408096799 | 39.8382288011 | 42.5608299351 | 44.1508830091 | 45.4731352766 | 47.0778218972 | 47.12385574 | 46.6574538524 | 47.7023889276 | 48.559278599 | 52.4349110818 | 52.1761600543 | 51.8474915178 | 53.5964733156 | 53.4349096207 | 54.8149288752 | 55.7049153725 | 59.0786705357 | 57.4727878612 | 60.5946894432 | 61.5105168774 | 62.0448752603 | 60.6617017521 | 62.1717423624 | 62.3853327515 | 61.6827561617 | 62.744787431 | 62.5097521393 | 64.6242916444 | 65.3004553271 | 65.5735031495 | 65.0041183147 | 63.9066279911 | 65.0014608282 | 65.5291392791 | |||||||||||||
Energy use (kg of oil equivalent) per $1,000 GDP (constant 2005 PPP) | EG.USE.COMM.GD.PP.KD | 279.2302853166 | 271.7212310001 | 275.4202114613 | 258.6150708053 | 250.7582493588 | 250.9109496139 | 261.2010009437 | 256.165589672 | 247.4254122334 | 239.6806235558 | 266.3792738745 | 256.5266498632 | 249.3952695972 | 255.4113235947 | 237.8113143472 | 241.976891865 | 232.9543796864 | 229.9840091267 | 258.9594978453 | 269.3021754862 | 277.1416356069 | 274.7355831204 | 272.5157111077 | 260.0094790359 | 265.4405430182 | 255.9866975049 | 249.1955566639 | 233.4328349942 | 222.858970425 | 226.2128291749 | 223.0321612425 | ||||||||||||||||||||||
Energy use (kt of oil equivalent) | EG.USE.COMM.KT.OE | 35053.196 | 36489.056 | 38158.925 | 39561.406 | 41135.948 | 43000.798 | 47777.355 | 51133.829 | 53516.377 | 55711.815 | 58631.043 | 60085.338 | 61186.515 | 63582.715 | 65833.894 | 72621.502 | 74996.253 | 77041.328 | 81409.724 | 98622.624 | 103454.01 | 107840.25 | 118453.153 | 118606.719 | 130817.355 | 135564.907 | 140126.474 | 137069.427 | 143671.6 | 155128.428 | 159384.637 | 165210.331 | 165163.76 | 177096.434 | 180511.311 | 185388.886 | 184681.125 | 186918.673 | 198514.097 | 207848.622 | |||||||||||||
Combustible renewables and waste (metric tons of oil equivalent) | EG.USE.CRNW.KT.OE | 26338.453 | 26624.811 | 26919.189 | 27003.301 | 27616.278 | 28097.063 | 28648.156 | 29251.824 | 29765.101 | 30262.235 | 30888.732 | 31523.353 | 32122.923 | 32696.993 | 33223.151 | 33711.009 | 34246.566 | 34903.176 | 35470.421 | 43498.547 | 44372.238 | 45146.311 | 45920.479 | 46588.397 | 47101.618 | 47432.451 | 48267.129 | 48588.649 | 48849.562 | 49118.102 | 49700.01 | 49969.854 | 50316.138 | 50373.092 | 50359.599 | 51547.822 | 51588.566 | 52187.683 | 52516.56 | 54039.02 | |||||||||||||
Combustible renewables and waste (% of total energy) | EG.USE.CRNW.ZS | 75.1385208926 | 72.9665656464 | 70.5449354247 | 68.2566767218 | 67.1341717954 | 65.3407943732 | 59.9617873363 | 57.2064024386 | 55.6186772509 | 54.3192409007 | 52.6832381269 | 52.4643016904 | 52.5000042902 | 51.4243422918 | 50.4651160389 | 46.4201484018 | 45.6643693919 | 45.3044838479 | 43.5702508953 | 44.1060531912 | 42.8907859637 | 41.8640637424 | 38.766784874 | 39.2797283264 | 36.0056339619 | 34.9887386416 | 34.4454032291 | 35.4482031941 | 34.0008477667 | 31.6628632374 | 31.1824344777 | 30.2462041554 | 30.4643936418 | 28.44387708 | 27.8983066053 | 27.8052385514 | 27.9338595105 | 27.9199943817 | 26.4548265305 | 25.9992197591 | |||||||||||||
Electric power consumption (kWh) | EG.USE.ELEC.KH | 1692000000 | 1924000000 | 1965000000 | 2445000000 | 2803000000 | 2456000000 | 2983000000 | 4466000000 | 5571000000 | 6808000000 | 7891000000 | 9489000000 | 10444000000 | 11540000000 | 13159000000 | 15500000000 | 17918000000 | 20916000000 | 24506000000 | 29484000000 | 32849000000 | 36484000000 | 40623000000 | 46549000000 | 51916000000 | 59411000000 | 67196000000 | 68118000000 | 74480000000 | 82580000000 | 88230000000 | 90746000000 | 94481000000 | 105921000000 | 113133000000 | 118372000000 | 126996000000 | 134343000000 | 141751000000 | 153832000000 | |||||||||||||
Electric power consumption (kWh per capita) | EG.USE.ELEC.KH.PC | 13.9367365894 | 15.4528540811 | 15.3921722211 | 18.6835985766 | 20.9013880565 | 17.877150276 | 21.202937688 | 31.0081351571 | 37.7941715038 | 45.1398887007 | 51.148780147 | 60.1489213509 | 64.7707258943 | 70.0638447375 | 78.2718410244 | 90.3935850414 | 102.5248539088 | 117.5011291703 | 135.2444086832 | 159.9384296716 | 175.2397149561 | 191.504553763 | 209.9101613653 | 236.9045149861 | 260.3606406105 | 293.7400858518 | 327.6839149136 | 327.7436185585 | 353.638125335 | 386.9811427201 | 408.0877525484 | 414.3154181461 | 425.8985115956 | 471.5846842405 | 497.7185206498 | 514.8431979261 | 546.3092409191 | 571.7911902659 | 597.0612704165 | 641.3115399637 | |||||||||||||
Energy use (kg of oil equivalent per capita) | EG.USE.PCAP.KG.OE | 288.7276355018 | 293.0665581733 | 298.9052139303 | 302.3106048388 | 306.74220914 | 313.0015178472 | 339.5978146033 | 355.0301569042 | 363.0599767722 | 369.3926451845 | 380.0413544791 | 380.8692454109 | 379.4614124369 | 386.0354828202 | 391.5905528678 | 423.5172849593 | 429.120430993 | 432.7999155088 | 449.2862965576 | 534.9866915159 | 551.8965942178 | 566.0535838707 | 612.0798675739 | 603.6320273 | 656.0538244622 | 670.2605143943 | 683.3322159557 | 659.4971960234 | 682.1664243809 | 726.9529708865 | 737.1973059511 | 754.2942649849 | 744.5200575092 | 788.4741071933 | 794.1433770118 | 806.3241892356 | 794.4581341999 | 795.5639707137 | 836.1498610268 | 866.5018972265 | |||||||||||||
CO2 intensity (kg per kg of oil equivalent energy use) | EN.ATM.CO2E.EG.ZS | 1.1122393519 | 1.1877608727 | 1.287618375 | 1.2957323357 | 1.3118348944 | 1.4374373238 | 1.7253814072 | 1.8370201066 | 1.776957192 | 1.7013377862 | 1.7083175205 | 1.7543034376 | 1.715359569 | 1.7643872395 | 1.8416909685 | 1.6763731078 | 1.6450494933 | 1.7154733755 | 1.6087378579 | 1.5165478562 | 1.7373001878 | 1.8784830432 | 1.8454626615 | 1.8667868217 | 1.7195051375 | 1.8684089902 | 1.9886249118 | 1.5336080379 | 1.6843203319 | 1.6980700984 | 1.8502879547 | 1.8566467009 | 1.9180486688 | 1.9065056838 | 1.8945724349 | 1.8615986775 | 2.0334769132 | 2.2068269391 | 2.2758168857 | ||||||||||||||
CO2 emissions from gaseous fuel consumption (kt) | EN.ATM.CO2E.GF.KT | 4671.758 | 4932.115 | 5196.139 | 5375.822 | 5247.477 | 6061.551 | 6076.219 | 6127.557 | 6314.574 | 5001.788 | 2302.876 | 2713.58 | 1998.515 | 3146.286 | 3274.631 | 5111.798 | 5647.18 | 6629.936 | 7876.716 | 7389.005 | 12174.44 | 13410.219 | 15529.745 | 13659.575 | 24407.552 | 27095.463 | 22885.747 | 27033.124 | 23391.793 | 24975.937 | 44099.342 | 43530.957 | 52416.098 | 57707.579 | 60358.82 | 64627.208 | 79056.853 | 82107.797 | 48067.036 | 83721.277 | 48631.754 | 61213.231 | 59812.437 | 62713.034 | 61935.63 | 54495.287 | 57472.891 | 57124.526 | 60362.487 | 58338.303 | |||
CO2 emissions from gaseous fuel consumption (% of total) | EN.ATM.CO2E.GF.ZS | 21.8262806236 | 18.9516697196 | 22.5960771807 | 23.5956864639 | 23.4321270673 | 24.5507203327 | 25.9717868339 | 24.9477455957 | 22.8898045992 | 14.9791346365 | 6.428498311 | 6.9601203913 | 4.6112192233 | 6.403462945 | 6.3881536591 | 9.4726827942 | 9.1362126246 | 8.0427046263 | 8.3853841349 | 7.7700227509 | 12.8443206438 | 13.3887383759 | 14.732997043 | 13.014464398 | 21.7566109894 | 22.3475683523 | 18.7987589988 | 21.91178219 | 17.6992869232 | 19.0704185916 | 29.4848848898 | 24.2201048701 | 25.8747714643 | 26.3986043313 | 27.2606823451 | 28.7307228326 | 31.2119062441 | 29.4653314208 | 22.8661142608 | 34.5971420345 | 18.4617526275 | 20.756758101 | 19.4995696251 | 19.7962727167 | 18.3439407433 | 15.9346786473 | 16.6530308665 | 15.2111080733 | 14.6334308243 | 12.912939725 | |||
CO2 emissions (kg per 2000 US$ of GDP) | EN.ATM.CO2E.KD.GD | 1.1601915912 | 1.3294723888 | 1.1527256686 | 1.1683884151 | 1.1101384888 | 1.212450711 | 1.1170434141 | 1.1596742006 | 1.162602842 | 1.3093352781 | 1.2987883748 | 1.321083208 | 1.3612695785 | 1.405813609 | 1.3548024411 | 1.3431759251 | 1.4515778923 | 1.7819950919 | 1.8594168871 | 1.757756303 | 1.6114002876 | 1.5744995379 | 1.6388940964 | 1.5047327329 | 1.5007194335 | 1.5674248995 | 1.4852374495 | 1.4293879909 | 1.4397220419 | 1.3078820429 | 1.3702724284 | 1.5116725437 | 1.5890803593 | 1.598806037 | 1.5058357679 | 1.4113272949 | 1.4763631519 | 1.5513181907 | 1.3470899292 | 1.538561717 | 1.5962751736 | 1.7242673415 | 1.7162129891 | 1.691605829 | 1.7165471241 | 1.645049539 | 1.5735361512 | 1.610095216 | 1.6682024923 | 1.7462439554 | |||
CO2 emissions (kt) | EN.ATM.CO2E.KT | 21404.279 | 26024.699 | 22995.757 | 22783.071 | 22394.369 | 24689.911 | 23395.46 | 24561.566 | 27586.841 | 33391.702 | 35822.923 | 38987.544 | 43340.273 | 49134.133 | 51260.993 | 53963.572 | 61810.952 | 82434.16 | 93933.872 | 95096.311 | 94784.616 | 100160.438 | 105407.915 | 104956.874 | 112184.531 | 121245.688 | 121740.733 | 123372.548 | 132162.347 | 130966.905 | 149565.929 | 179730.671 | 202576.081 | 218600.871 | 221413.46 | 224941.114 | 253290.691 | 278658.997 | 210210.775 | 241988.997 | 263418.945 | 294907.474 | 306737.216 | 316792.13 | 337635.358 | 341991.754 | 345119.705 | 375544.804 | 412497.163 | 451781.734 | |||
CO2 emissions from liquid fuel consumption (kt) | EN.ATM.CO2E.LF.KT | 14719.338 | 19339.758 | 16244.81 | 15647.089 | 15720.429 | 17682.274 | 16252.144 | 17638.27 | 20593.872 | 27557.505 | 29236.991 | 31602.206 | 34590.811 | 38745.522 | 39390.914 | 40788.041 | 45848.501 | 56405.794 | 62680.031 | 63464.769 | 66189.35 | 70395.399 | 75147.831 | 77788.071 | 74253.083 | 78591.144 | 78334.454 | 75081.825 | 87314.937 | 84817.71 | 82540.503 | 103545.079 | 117200.987 | 117516.349 | 113563.323 | 113955.692 | 124733.005 | 143984.755 | 109272.933 | 106141.315 | 155103.099 | 149980.3 | 156969.602 | 162580.112 | 174035.82 | 174897.565 | 152624.207 | 166360.789 | 155517.47 | 191919.779 | |||
CO2 emissions from liquid fuel consumption (% of total) | EN.ATM.CO2E.LF.ZS | 68.7682028439 | 74.313090038 | 70.6426407272 | 68.6785771769 | 70.1981332897 | 71.6174068023 | 69.4670846395 | 71.8124813377 | 74.6510700518 | 82.5280035142 | 81.6153137476 | 81.057185854 | 79.81216685 | 78.8566310919 | 76.8438371843 | 75.5843979342 | 74.1753678215 | 68.4252669039 | 66.7278263585 | 66.7373616627 | 69.8313215723 | 70.2826389397 | 71.292398678 | 74.1143176577 | 66.1883437388 | 64.8197435277 | 64.3453116058 | 60.857805255 | 66.06642435 | 64.7627047459 | 55.1867016451 | 57.611245996 | 57.8552938834 | 53.7584084009 | 51.2901623054 | 50.6602327932 | 49.2450016649 | 51.6705925702 | 51.982555604 | 43.8620417936 | 58.8807684276 | 50.8567307453 | 51.1739671002 | 51.320754717 | 51.5454960141 | 51.1408719521 | 44.2235562875 | 44.2985197047 | 37.7014641432 | 42.480641548 | |||
CO2 emissions (metric tons per capita) | EN.ATM.CO2E.PC | 0.2327902957 | 0.2761951292 | 0.2380950862 | 0.2300896613 | 0.2205498751 | 0.237068596 | 0.2189769817 | 0.2240758062 | 0.2453013826 | 0.2894086797 | 0.3026562722 | 0.3211342382 | 0.3480929909 | 0.3848758458 | 0.3917136261 | 0.4023951335 | 0.4499200642 | 0.5859357552 | 0.6521975367 | 0.6451420369 | 0.6284616652 | 0.6492313044 | 0.6681602265 | 0.6509127649 | 0.6811160799 | 0.7211887846 | 0.7099729872 | 0.7059243476 | 0.742456732 | 0.7227838743 | 0.8113329201 | 0.9588100568 | 1.0633220588 | 1.1295705415 | 1.1268523137 | 1.1280879217 | 1.2523207709 | 1.3588914677 | 1.0114102008 | 1.1489867783 | 1.2344171028 | 1.3640272954 | 1.4004579586 | 1.4280257052 | 1.5032303669 | 1.5045621514 | 1.5010520443 | 1.6155122744 | 1.7556720024 | 1.9029239727 | |||
CO2 emissions (kg per PPP $ of GDP) | EN.ATM.CO2E.PP.GD | 0.9950016158 | 0.8889049417 | 0.8721232004 | 0.7702624448 | 0.7404008518 | 0.7503942078 | 0.6954964159 | 0.6502905634 | 0.6329503281 | 0.554129344 | 0.5593494118 | 0.5967883627 | 0.6144065207 | 0.6049050338 | 0.5583615301 | 0.5114200072 | 0.5256785917 | 0.5419203537 | 0.4640581984 | 0.5223588806 | 0.5304752056 | 0.5603069562 | 0.5487781466 | 0.529750686 | 0.5228614955 | 0.4849853408 | 0.4494044153 | 0.4468899055 | 0.4530004558 | 0.4680313945 | |||||||||||||||||||||||
CO2 emissions (kg per 2005 PPP $ of GDP) | EN.ATM.CO2E.PP.GD.KD | 0.4750650355 | 0.4641861396 | 0.4831706237 | 0.4436178364 | 0.4424346554 | 0.4621004298 | 0.4378703337 | 0.4214050735 | 0.4244517071 | 0.3855832929 | 0.4039769167 | 0.445663797 | 0.468484785 | 0.471352061 | 0.4439430277 | 0.4160805087 | 0.4352540573 | 0.4573519299 | 0.3971423674 | 0.4535911296 | 0.4706059244 | 0.5083399402 | 0.505965396 | 0.4987108351 | 0.506063904 | 0.4849853408 | 0.4639021187 | 0.4746802808 | 0.4918111796 | 0.5148189764 | |||||||||||||||||||||||
CO2 emissions from solid fuel consumption (kt) | EN.ATM.CO2E.SF.KT | 1822.499 | 1529.139 | 1301.785 | 1595.145 | 1206.443 | 762.736 | 898.415 | 619.723 | 473.043 | 561.051 | 432.706 | 553.717 | 524.381 | 355.699 | 440.04 | 546.383 | 447.374 | 509.713 | 546.383 | 652.726 | 707.731 | 792.072 | 861.745 | 1199.109 | 1884.838 | 3674.334 | 8063.733 | 8225.081 | 6919.629 | 6285.238 | 6952.632 | 13531.23 | 12519.138 | 21327.272 | 26670.091 | 25195.957 | 27583.174 | 29413.007 | 32100.918 | 37198.048 | 42016.486 | 58866.351 | 63259.417 | 65756.644 | 77733.066 | 88642.391 | 111469.466 | 128781.373 | 173368.426 | 173922.143 | |||
CO2 emissions from solid fuel consumption (% of total) | EN.ATM.CO2E.SF.ZS | 8.5146479356 | 5.8757221361 | 5.6609791102 | 7.0014485756 | 5.3872605207 | 3.0892618446 | 3.8401253918 | 2.5231412362 | 1.7147414595 | 1.68021085 | 1.2079025489 | 1.4202407825 | 1.2099162366 | 0.723934622 | 0.8584305029 | 1.0125033977 | 0.7237778832 | 0.6183274021 | 0.5816677077 | 0.6863841438 | 0.7466728567 | 0.7908032511 | 0.8175334841 | 1.1424778143 | 1.6801229039 | 3.0304863295 | 6.6236934847 | 6.6668648199 | 5.2357037818 | 4.7991040179 | 4.648539976 | 7.5286148573 | 6.1799685028 | 9.7562612182 | 12.0453792647 | 11.2011346223 | 10.8899280471 | 10.555197326 | 15.2708242477 | 15.3717931233 | 15.9504419851 | 19.9609559573 | 20.6233263198 | 20.7570320639 | 23.0227860199 | 25.9194527246 | 32.2987834033 | 34.2918798578 | 42.028998391 | 38.4969399847 | |||
Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) | EN.ATM.GHGO.KT.CE | 1720.7 | 997.4 | 1020.5 | 1146 | 1241 | ||||||||||||||||||||||||||||||||||||||||||||||||
HFC gas emissions (thousand metric tons of CO2 equivalent) | EN.ATM.HFCG.KT.CE | 0 | 0 | 0 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural methane emissions (thousand metric tons of CO2 equivalent) | EN.ATM.METH.AG.KT.CE | 81997.9 | 78861.7 | 98308.3 | 88812.2 | 94321.1 | ||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural methane emissions (% of total) | EN.ATM.METH.AG.ZS | 53.8715944232 | 46.9912484709 | 37.8601902324 | 42.1163598633 | 43.0829432908 | ||||||||||||||||||||||||||||||||||||||||||||||||
Methane emissions in energy sector (thousand metric tons of CO2 equivalent) | EN.ATM.METH.EG.KT.CE | 37386.2 | 45614.3 | 49005.9 | 57518.5 | 68183.1 | ||||||||||||||||||||||||||||||||||||||||||||||||
Energy related methane emissions (% of total) | EN.ATM.METH.EG.ZS | 24.5622656608 | 27.180150886 | 18.873001532 | 27.2763183977 | 31.1439182822 | ||||||||||||||||||||||||||||||||||||||||||||||||
Methane emissions (kt of CO2 equivalent) | EN.ATM.METH.KT.CE | 152209.9 | 167822.1 | 259661.4 | 210873.4 | 218929.1 | ||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) | EN.ATM.NOXE.AG.KT.CE | 54881.3 | 59926 | 80826.5 | 63844.1 | 65585.3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural nitrous oxide emissions (% of total) | EN.ATM.NOXE.AG.ZS | 61.6993912276 | 66.0876124601 | 51.598420125 | 65.6245599356 | 71.8250274332 | ||||||||||||||||||||||||||||||||||||||||||||||||
Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) | EN.ATM.NOXE.EG.KT.CE | 3692.4 | 4237.9 | 4470.7 | 4343.7 | 4063.4 | ||||||||||||||||||||||||||||||||||||||||||||||||
Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions) | EN.ATM.NOXE.EI.ZS | 4.3079500166 | 4.867518191 | 2.9942168709 | 4.7149205083 | 4.6893856927 | ||||||||||||||||||||||||||||||||||||||||||||||||
Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent) | EN.ATM.NOXE.IN.KT.CE | 139.5 | 175.8 | 219.6 | 243.3 | 218.6 | ||||||||||||||||||||||||||||||||||||||||||||||||
Nitrous oxide emissions (thousand metric tons of CO2 equivalent) | EN.ATM.NOXE.KT.CE | 88949.5 | 90676.6 | 156645.3 | 97286.9 | 91312.6 | ||||||||||||||||||||||||||||||||||||||||||||||||
PFC gas emissions (thousand metric tons of CO2 equivalent) | EN.ATM.PFCG.KT.CE | 657.9 | 170.6 | 134.4 | 129.6 | |||||||||||||||||||||||||||||||||||||||||||||||||
PM10, country level (micrograms per cubic meter) | EN.ATM.PM10.MC.M3 | 132.1286322647 | 124.1658460252 | 118.4636680467 | 126.9345207933 | 112.7106327186 | 115.2575042077 | 109.8397492222 | 113.8875188373 | 122.5973623514 | 116.0215641479 | 119.7972082972 | 112.7182668824 | 107.3588885968 | 96.7243562663 | 97.3410261559 | 90.2736792313 | 83.3074471066 | 76.6405721569 | 73.8281398144 | 68.1073750818 | |||||||||||||||||||||||||||||||||
SF6 gas emissions (thousand metric tons of CO2 equivalent) | EN.ATM.SF6G.KT.CE | 1062.8 | 826.8 | 886.1 | 1016.4 | |||||||||||||||||||||||||||||||||||||||||||||||||
Bird species, threatened | EN.BIR.THRD.NO | 122 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Disaster risk reduction progress score (1-5 scale; 5=best) | EN.CLC.DRSK.XQ | 3.25 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
GHG net emissions/removals by LUCF (Mt of CO2 equivalent) | EN.CLC.GHGR.MT.CE | 164.1183 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Droughts, floods, extreme temperatures (% of population, average 1990-2009) | EN.CLC.MDAT.ZS | 0.1605897219 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
CO2 emissions from residential buildings and commercial and public services (million metric tons) | EN.CO2.BLDG.MT | 5.81 | 6.84 | 7.61 | 8.81 | 10.11 | 10.98 | 12.2 | 13.29 | 14.96 | 16.14 | 17.32 | 17.13 | 16.54 | 15.99 | 15.48 | 15.68 | 15.6 | 16.27 | 18.86 | 19.31 | 20.04 | 21.19 | 21.38 | 22.04 | 23.73 | 25.18 | 25.6 | 26.35 | 31.1 | 32.64 | 32.26 | 30.91 | 31.2 | 31.47 | 30.05 | 27.04 | 28.14 | 25.5 | 22.08 | 20.32 | |||||||||||||
CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) | EN.CO2.BLDG.ZS | 23.1197771588 | 24.2123893805 | 23.7961225766 | 25 | 26.6332982086 | 28.189987163 | 25.8146424037 | 24.7026022305 | 24.698695724 | 23.4320557491 | 23.2889606024 | 22.2525331255 | 21.4582252206 | 20.1741105223 | 17.5809199319 | 16.0392798691 | 14.8049729525 | 14.3045542465 | 15.8394221886 | 13.2214994865 | 12.6283949839 | 12.7183242302 | 11.797163825 | 11.4630467572 | 11.0675808031 | 10.8585967485 | 10.1833804049 | 10.3805546801 | 11.3873530812 | 11.9613016711 | 11.0847678933 | 10.3976049516 | 9.5943909714 | 9.5098513236 | 8.9503782689 | 7.642736009 | 7.6247764591 | 6.9951171339 | 5.7895012848 | 4.9447607923 | |||||||||||||
CO2 emissions from electricity and heat production, total (million metric tons) | EN.CO2.ETOT.MT | 5.5 | 6.48 | 8.56 | 8.58 | 7.07 | 6.29 | 9.55 | 9.89 | 10.59 | 11.91 | 12.79 | 14.31 | 14.47 | 18.63 | 20.64 | 24.67 | 27.17 | 28.77 | 29.13 | 47.53 | 53.78 | 55.89 | 62.28 | 63.5 | 73.86 | 77.06 | 88.16 | 97.88 | 94.85 | 88.59 | 99.04 | 108.2 | 120.26 | 118.43 | 122.76 | 128.71 | 137.02 | 139.47 | 145.95 | 149.62 | |||||||||||||
CO2 emissions from electricity and heat production, total (% of total fuel combustion) | EN.CO2.ETOT.ZS | 21.8861918026 | 22.9380530973 | 26.7667292058 | 24.3473325766 | 18.6248682824 | 16.1489088575 | 20.2073635209 | 18.3828996283 | 17.4839029222 | 17.2909407666 | 17.1977948097 | 18.5892439595 | 18.7727036845 | 23.5049205148 | 23.4412265758 | 25.2352700491 | 25.7853278922 | 25.2945313874 | 24.4646006551 | 32.5436494351 | 33.8899741635 | 33.5454054378 | 34.3651713293 | 33.0264731887 | 34.4480201483 | 33.2312734486 | 35.0690162695 | 38.5597226599 | 34.7295961334 | 32.464819701 | 34.0308559255 | 36.3966630786 | 36.9814569944 | 35.7881058866 | 36.5640078632 | 36.3793103448 | 37.1267544573 | 38.2591759478 | 38.2689181394 | 36.4092081569 | |||||||||||||
CO2 emissions from manufacturing industries and construction (million metric tons) | EN.CO2.MANF.MT | 5.12 | 5.49 | 5.82 | 6.4 | 8.18 | 8.41 | 11.1 | 14.7 | 17.85 | 21.44 | 22.9 | 22.88 | 23.99 | 22.13 | 28.82 | 33.2 | 36.23 | 40.01 | 39.25 | 43.54 | 45.62 | 47.43 | 52.25 | 56.34 | 62.32 | 69.38 | 71.49 | 64.53 | 82.02 | 76.26 | 79.3 | 76.74 | 91.65 | 95.23 | 98.18 | 118.22 | 120.89 | 108.8 | 110.28 | 124.95 | |||||||||||||
CO2 emissions from manufacturing industries and construction (% of total fuel combustion) | EN.CO2.MANF.ZS | 20.3740549144 | 19.4336283186 | 18.1988742964 | 18.1611804767 | 21.5489989463 | 21.5917843389 | 23.4870926788 | 27.3234200743 | 29.4700346706 | 31.1265969803 | 30.7919860159 | 29.7220057158 | 31.1235080436 | 27.9207670956 | 32.7314026122 | 33.9607201309 | 34.3836006453 | 35.1767188324 | 32.9638028051 | 29.8117083191 | 28.7478732119 | 28.4676790109 | 28.830767533 | 29.3025432985 | 29.0658084977 | 29.9193583164 | 28.4378853574 | 25.4215253703 | 30.0318552964 | 27.946350044 | 27.2480500292 | 25.8140473628 | 28.1835234786 | 28.7773479995 | 29.2428665038 | 33.4143583946 | 32.7561914052 | 29.8458331047 | 28.9160417431 | 30.4058986713 | |||||||||||||
CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons) | EN.CO2.OTHX.MT | 0.68 | 0.79 | 0.83 | 0.93 | 1.08 | 1.09 | 1.23 | 1.35 | 1.49 | 1.72 | 1.92 | 2.07 | 2.16 | 2.23 | 2.2 | 2.07 | 2.16 | 2.45 | 3.3 | 3.79 | 3.77 | 4.58 | 5.25 | 5.5 | 5.75 | 6.23 | 6.1 | 6.48 | 6.91 | 10.39 | 11.25 | 10.88 | 10.15 | 11.99 | 10.83 | 9.57 | 9.07 | 9.29 | 9.7 | 10.23 | |||||||||||||
CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) | EN.CO2.OTHX.ZS | 2.7059291683 | 2.796460177 | 2.5953721076 | 2.639046538 | 2.8451001054 | 2.7984595635 | 2.6026237833 | 2.5092936803 | 2.4599636784 | 2.4970963995 | 2.5816861638 | 2.6890101325 | 2.802283342 | 2.8135251072 | 2.4985803521 | 2.1174304419 | 2.0499193319 | 2.1540355196 | 2.771478962 | 2.5950017117 | 2.3757010524 | 2.7489346378 | 2.8968713789 | 2.8605606699 | 2.6817779022 | 2.6866186554 | 2.4265086121 | 2.5527891585 | 2.5301160704 | 3.8075344474 | 3.865580868 | 3.6598493003 | 3.121252191 | 3.6232322011 | 3.2257103711 | 2.7049180328 | 2.457594971 | 2.5484171833 | 2.5433950391 | 2.4894145131 | |||||||||||||
CO2 emissions from transport (million metric tons) | EN.CO2.TRAN.MT | 8.02 | 8.64 | 9.16 | 10.52 | 11.53 | 12.18 | 13.19 | 14.58 | 15.68 | 17.67 | 19.44 | 20.6 | 19.93 | 20.28 | 20.9 | 22.14 | 24.21 | 26.24 | 28.53 | 31.87 | 35.48 | 37.53 | 40.07 | 44.89 | 48.75 | 54.04 | 60.03 | 58.59 | 58.23 | 65 | 69.19 | 70.55 | 71.93 | 73.8 | 73.92 | 70.27 | 73.96 | 81.48 | 93.36 | 105.83 | |||||||||||||
CO2 emissions from transport (% of total fuel combustion) | EN.CO2.TRAN.ZS | 31.9140469558 | 30.5840707965 | 28.6429018136 | 29.8524404086 | 30.3740779768 | 31.270860077 | 27.9094371562 | 27.1003717472 | 25.8874030048 | 25.6533101045 | 26.1395724082 | 26.7601974539 | 25.8562532434 | 25.58667676 | 23.7365133447 | 22.647299509 | 22.9761791781 | 23.0701600141 | 23.9606953893 | 21.8212940774 | 22.3580565883 | 22.525658724 | 22.1100259339 | 23.3473760857 | 22.7368126487 | 23.3041528311 | 23.879231473 | 23.0814686417 | 21.3210794185 | 23.8199941366 | 23.7741813559 | 23.7318353068 | 22.1193763646 | 22.3014625891 | 22.0170369929 | 19.8615036744 | 20.0401018805 | 22.3514566303 | 24.4795217369 | 25.7531513116 | |||||||||||||
Fish species, threatened | EN.FSH.THRD.NO | 141 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Plant species (higher), threatened | EN.HPT.THRD.NO | 385 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Mammal species, threatened | EN.MAM.THRD.NO | 184 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Population density (people per sq. km of land area) | EN.POP.DNST | 52.01332049 | 53.3141093085 | 54.6587932015 | 56.0501647742 | 57.489744255 | 58.9763652522 | 60.5070480302 | 62.0793063475 | 63.6900931236 | 65.3365533764 | 67.0168710014 | 68.72919291 | 70.4705272222 | 72.2375845261 | 74.0274601589 | 75.8359185679 | 77.6608422529 | 79.5038116109 | 81.3679189874 | 83.2537765585 | 85.1611745613 | 87.0838223199 | 89.0088067257 | 90.9194339716 | 92.8030432167 | 94.6539990174 | 96.4728820857 | 98.2610663678 | 100.0225655095 | 101.7603178458 | 103.474776023 | 105.1642724267 | 106.8275849125 | 108.4630712586 | 110.0704576693 | 111.647377137 | 113.1965466419 | 114.728819201 | 116.2587015683 | 117.7958406244 | 119.3459259096 | 120.9041687597 | 122.4568937441 | 123.9844615444 | 125.4730289197 | 126.9167335516 | 128.3205981552 | 129.6947697301 | 131.0545521288 | 132.4105262286 | |||
Population living in areas where elevation is below 5 meters (% of total population) | EN.POP.EL5M.ZS | 11.24608 | 11.165 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Population in largest city | EN.URB.LCTY | 2678740 | 2847651 | 2973833 | 3077862 | 3185681 | 3296964 | 3412296 | 3531663 | 3655378 | 3783069 | 3915406 | 4052372 | 4223963 | 4411693 | 4608043 | 4813132 | 5027651 | 5251100 | 5484810 | 5728921 | 5984256 | 6197362 | 6391074 | 6590842 | 6797142 | 7009306 | 7228398 | 7454338 | 7687666 | 7927626 | 8175422 | 8268203 | 8281607 | 8294997 | 8308426 | 8321877 | 8335369 | 8348845 | 8362362 | 8375901 | 8389668 | 8472279 | 8555820 | 8640184 | 8717126 | 8794539 | 8872748 | 8952592 | 9034989 | 9120729 | 9210211 | ||
Population in the largest city (% of urban population) | EN.URB.LCTY.UR.ZS | 19.9545517203 | 20.3649412548 | 20.4182236609 | 20.2896810302 | 20.1632566886 | 20.0360276043 | 19.8869431773 | 19.7423122032 | 19.6040495618 | 19.470413345 | 19.345027465 | 19.030072811 | 18.8683556582 | 18.7608718377 | 18.6705236596 | 18.5961265962 | 18.4270497026 | 18.2783645512 | 18.1515214617 | 18.0434178059 | 17.9539010398 | 17.541818767 | 17.093574811 | 16.6834827767 | 16.3115029266 | 15.9741285388 | 15.6129225645 | 15.2877828234 | 14.9956545043 | 14.7310462913 | 14.4928960759 | 13.9583612252 | 13.3344060475 | 12.7567024457 | 12.2209689151 | 11.7231791611 | 11.1745559184 | 10.6691478724 | 10.2015089225 | 9.7665949787 | 9.3607448756 | 9.0667735349 | 8.7900469206 | 8.5299939896 | 8.2787227802 | 8.0438229096 | 7.840477836 | 7.6503990005 | 7.4727467407 | 7.3063713135 | 7.1501913183 | ||
Population in urban agglomerations of more than 1 million | EN.URB.MCTY | 6433511 | 6767144 | 7028934 | 7254956 | 7489528 | 7732003 | 7983724 | 8244732 | 8515797 | 8796193 | 9087487 | 9389753 | 9768944 | 10185078 | 10621997 | 11080265 | 11561755 | 12065705 | 12595505 | 13151921 | 13737313 | 14194204 | 14587567 | 14992461 | 15409818 | 15838251 | 16279884 | 16734517 | 17203200 | 17684388 | 18180459 | 18436632 | 18570383 | 18705876 | 18843708 | 18983739 | 19126214 | 19270585 | 19417496 | 19566798 | 19718797 | 19890395 | 20065769 | 20244724 | 20345606 | 20450287 | 20559236 | 20678345 | 20812811 | 20966504 | 21141293 | ||
Population in urban agglomerations of more than 1 million (% of total population) | EN.URB.MCTY.TL.ZS | 6.9970071328 | 7.1818398812 | 7.2776671231 | 7.3268892001 | 7.3760259342 | 7.4241462254 | 7.472611287 | 7.5216904734 | 7.5722217644 | 7.6237341919 | 7.6777233927 | 7.7341911466 | 7.8460533346 | 7.9781412042 | 8.1168559522 | 8.2623231728 | 8.4157667585 | 8.5762115748 | 8.7452557414 | 8.922383017 | 9.1084133353 | 9.2005603822 | 9.2467743723 | 9.2978990991 | 9.3559020432 | 9.4208455382 | 9.494174702 | 9.5753092458 | 9.6643499012 | 9.7597102668 | 9.8621423931 | 9.8353987532 | 9.7475959588 | 9.6658381942 | 9.5902371786 | 9.5204146067 | 9.4563897971 | 9.3973759383 | 9.34255322 | 9.2905018307 | 9.2404972101 | 9.1998487962 | 9.1613486806 | 9.1258536841 | 9.0583323243 | 8.9969209625 | 8.9419649995 | 8.8953754137 | 8.8583565757 | 8.8311810953 | 8.8136117132 | ||
Pump price for diesel fuel (US$ per liter) | EP.PMP.DESL.CD | 0.51 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Pump price for gasoline (US$ per liter) | EP.PMP.SGAS.CD | 0.79 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum) | ER.BDV.TOTL.XQ | 89.9536385993 | 80.9625212947 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Water productivity, total (constant 2000 US$ GDP per cubic meter of total freshwater withdrawal) | ER.GDP.FWTL.M3.KD | 1.7148247713 | 2.4162931782 | 1.577485504 | 2.0586394361 | 2.5815082083 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) | ER.H2O.FWAG.ZS | 93.14 | 93.14 | 81.87 | 81.87 | 81.87 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) | ER.H2O.FWDM.ZS | 6.361 | 6.361 | 11.59 | 11.59 | 11.59 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, industry (% of total freshwater withdrawal) | ER.H2O.FWIN.ZS | 0.5058 | 0.5058 | 6.53 | 6.53 | 6.53 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, total (billion cubic meters) | ER.H2O.FWTL.K3 | 74.34 | 74.34 | 113.3 | 113.3 | 113.3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, total (% of internal resources) | ER.H2O.FWTL.ZS | 3.6820208024 | 3.6820208024 | 5.6116889549 | 5.6116889549 | 5.6116889549 | ||||||||||||||||||||||||||||||||||||||||||||||||
Renewable internal freshwater resources, total (billion cubic meters) | ER.H2O.INTR.K3 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | ||||||||||||||||||||||||||||||||||||||||||
Renewable internal freshwater resources per capita (cubic meters) | ER.H2O.INTR.PC | 20904.4642068307 | 18419.3895759556 | 16215.8588304355 | 14350.8988240167 | 12798.0474451953 | 11552.4991651903 | 10597.7330897776 | 9845.7322491006 | 9218.0683362024 | 8685.2999891001 | 8331.7638887223 | ||||||||||||||||||||||||||||||||||||||||||
Terrestrial protected areas (% of total land area) | ER.LND.PTLD.ZS | 10.0314711099 | 10.2555535055 | 10.8156822851 | 10.8672975267 | 10.8672979488 | 10.9087970113 | 11.0496576193 | 12.024510531 | 12.8291582511 | 13.5503170077 | 13.5503170077 | 13.5508626709 | 13.5889188387 | 13.5889188387 | 14.140797389 | 14.1441594008 | 14.1441594008 | 14.1441594008 | 14.1499768026 | 14.1499768026 | 14.1499768026 | ||||||||||||||||||||||||||||||||
Marine protected areas (% of territorial waters) | ER.MRN.PTMR.ZS | 0.4819779279 | 0.5485977101 | 0.568868693 | 0.5931880669 | 0.5931880669 | 0.6272363765 | 0.9555971649 | 1.0224272107 | 1.0241015762 | 1.0241015762 | 1.0241015762 | 1.1702357215 | 1.8480589347 | 1.8480589347 | 1.9379993481 | 1.9379993481 | 1.9379993481 | 1.9382759829 | 1.9861138019 | 1.9861138019 | 1.9861138019 | ||||||||||||||||||||||||||||||||
Terrestrial and marine protected areas (% of total territorial area) | ER.PTD.TOTL.ZS | 3.9642447001 | 4.0882839512 | 4.3054165718 | 4.3396895098 | 4.3396896638 | 4.3764549248 | 4.6364429069 | 5.0343876824 | 5.3288699885 | 5.5918438581 | 5.5918438581 | 5.6848884913 | 6.1294176981 | 6.1294176981 | 6.3878059855 | 6.3890319587 | 6.3890319587 | 6.3892077173 | 6.4217225972 | 6.4217225972 | 6.4217225972 | ||||||||||||||||||||||||||||||||
Bank nonperforming loans to total gross loans (%) | FB.AST.NPER.ZS | 34.4 | 31.9 | 24 | 6.8 | 4.5 | 7.4 | 6.1 | 4.1 | 3.2 | 3.3 | 2.6 | 2.9 | |||||||||||||||||||||||||||||||||||||||||
Automated teller machines (ATMs) (per 100,000 adults) | FB.ATM.TOTL.P5 | 8.6758388095 | 9.4228625683 | 10.6190991134 | 11.6039290349 | 13.2671973374 | 14.2657286253 | 13.3720353018 | ||||||||||||||||||||||||||||||||||||||||||||||
Bank capital to assets ratio (%) | FB.BNK.CAPA.ZS | 6 | 5.2 | 8.8 | 10.4 | 10 | 9.8 | 10.1 | 10.2 | 9.7 | 10.7 | 11.4 | ||||||||||||||||||||||||||||||||||||||||||
Commercial bank branches (per 100,000 adults) | FB.CBK.BRCH.P5 | 5.2340336973 | 5.3303421749 | 5.7854054132 | 6.0389678426 | 6.6553958166 | 7.720318724 | 8.3167100685 | ||||||||||||||||||||||||||||||||||||||||||||||
Borrowers from commercial banks (per 1,000 adults) | FB.CBK.BRWR.P3 | 161.9753240703 | 200.2342675999 | 227.822589883 | 274.7966004553 | |||||||||||||||||||||||||||||||||||||||||||||||||
Depositors with commercial banks (per 1,000 adults) | FB.CBK.DPTR.P3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Point-of-sale terminals (per 100,000 adults) | FB.POS.TOTL.P5 | 119.9123 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Bank liquid reserves to bank assets ratio (%) | FD.RES.LIQU.AS.ZS | 35.1733802258 | 36.9288839347 | 39.5969574823 | 36.0625814155 | 29.37503431 | 39.3982879307 | 40.0674975354 | 24.2380532518 | 30.8641745849 | 30.9716945528 | 32.9148833434 | ||||||||||||||||||||||||||||||||||||||||||
Total reserves (includes gold, current US$) | FI.RES.TOTL.CD | 352739199.984593 | 133183550 | 108100019.998714 | 58079559.998943 | 25003679.999886 | 21003679.999886 | 23011659.999886 | 6012799.999886 | 87276599.999886 | 121712799.999886 | 160280179.999866 | 187819481.29997 | 580053889.26417 | 811133204.9567 | 1500130961.41571 | 592327940.99365 | 1504197779.79594 | 2536611742.8 | 2676739962.77349 | 4205180390.29715 | 6802958655.10206 | 6248011978.37647 | 4562681470.29662 | 4902568754.42369 | 5729969519.4969 | 5989249601.27633 | 5264621424.3 | 7094971114.8 | 6321736080 | 6699437804 | 8656793061.6 | 10357988937.1 | 11482018250 | 12474062676.59 | 13321137322.7019 | 14907560252.9286 | 19396150431.2003 | 17486799311.4368 | 23605844201.6735 | 27345097353.9957 | 29352929930.3718 | 28103636213.8566 | 32033584740.0475 | 36256203610.1863 | 36310734314.7824 | 34730799704.5211 | 42597039985.2572 | 56935744301.4525 | 51640625791.9553 | 66118916965.731 | 96210971535.5132 | 110136605627.115 | |
Total reserves (% of total external debt) | FI.RES.TOTL.DT.ZS | 14.632341382 | 3.7697639947 | 9.8933576243 | 11.1560409869 | 16.483283744 | 5.1516574586 | 10.7365587058 | 15.4008955671 | 14.8331105349 | 22.5796615231 | 32.4914293608 | 27.4503460893 | 18.153938521 | 16.2178932953 | 17.8920412826 | 16.3129809018 | 12.2677587046 | 13.5074525265 | 11.6952520031 | 11.2822854601 | 12.3936708527 | 13.0251437063 | 13.0509235384 | 13.9926975588 | 12.3562439189 | 11.9846599007 | 15.0370913318 | 12.8275257577 | 15.5848301927 | 18.0152516426 | 20.4329118272 | 21.2347624224 | 25.0037848747 | 27.1014484282 | 26.410145849 | 24.4893360878 | 31.3307007674 | 38.5079638389 | 32.7033038353 | 36.8567155913 | 49.295454122 | 51.5763642688 | |||||||||||
Total reserves in months of imports | FI.RES.TOTL.MO | 2.9180409333 | 2.0481885996 | 2.2353835798 | 2.8442454699 | 3.2447401903 | 3.1365036785 | 4.0184855514 | 3.2952883437 | 2.9932702974 | 3.1374665279 | 3.2799204994 | 3.3316621288 | 3.3837907661 | 3.2307372395 | 2.9021385609 | 3.4949593101 | 2.9548078874 | 5.2332263085 | 6.0922944309 | 5.2648364534 | 5.6690537902 | 6.2952664647 | 6.774903881 | 5.1636787147 | 3.9032543179 | 4.5787435 | 5.3135696275 | 3.7859043106 | 6.1663043441 | 6.551798568 | 5.831867802 | ||||||||||||||||||||||
Total reserves minus gold (current US$) | FI.RES.XGLD.CD | 293749999.98625 | 89000000 | 63000000 | 21000000 | 21000000 | 17000000 | 19000000 | 2000000 | 82500000 | 117700000 | 156019999.99998 | 185332571.29997 | 572200989.26417 | 804734954.9567 | 1489500461.41571 | 584333690.99365 | 1496517029.79594 | 2508735192.8 | 2626115962.77349 | 4061820390.29715 | 5391695655.10206 | 5014171978.37647 | 3144463870.29972 | 3718392754.42369 | 4773006319.5 | 4974241601.27633 | 4051267824.3 | 5592324714.8 | 5048320080 | 5453530804 | 7459058061.6 | 9257939337.1 | 10448610000 | 11262657057.6 | 12132679072.7019 | 13708248502.9286 | 18251106181.2003 | 16586889080.4268 | 22713376432.6835 | 26445032103.9957 | 28501860480.3718 | 27246209713.8566 | 30970716990.0475 | 34962311360.1863 | 34952496314.7824 | 33140499704.5211 | 41103144985.2572 | 54976431801.4525 | 49596713291.9553 | 63563291965.731 | 92908046535.5132 | 106538755627.115 | |
Claims on central government (annual growth as % of broad money) | FM.AST.CGOV.ZG.M3 | -5.9035234565 | -4.9154850254 | -2.64626318 | -21.5687466645 | -3.2833930047 | 2.3438913718 | 6.5390949001 | -0.5320804666 | -3.963336157 | -5.6182858072 | -1.7200231976 | 7.2784548287 | -6.5643854795 | -1.2744424314 | -2.3653467462 | -1.2973839487 | -4.0986206086 | 6.754119441 | 74.067937034 | 17.226102581 | 3.0133808355 | -0.3279615234 | -4.2764566287 | -0.5894612603 | 0.5693134451 | 0.7866951437 | 0.4998967762 | -7.0427883432 | 2.5216015271 | -3.7134963593 | 1.1276873098 | ||||||||||||||||||||||
Claims on other sectors of the domestic economy (annual growth as % of broad money) | FM.AST.DOMO.ZG.M3 | 7.2139083785 | 8.4027232819 | 16.1580104444 | 13.2225719097 | 8.2958991978 | 14.8480628969 | 20.1582912257 | 6.8941800146 | 17.0951349401 | 19.1049838341 | |||||||||||||||||||||||||||||||||||||||||||
Net domestic credit (current LCU) | FM.AST.DOMS.CN | 290494599963.455 | 378000000000 | 517000000000 | 641745020863.545 | 1086000000000 | 1388000000000 | 2803000000000 | 3283000000000 | 3299000000000 | 4522000000000 | 4616000000000 | 4008980000000 | 5992790000000 | 8868300000000 | 11138200000000 | 12137100000000 | 15682500000000 | 21550000000000 | 30403500000000 | 42945700000000 | 63246000000000 | 98418000000000 | 115915700000000 | 131528000000000 | 156434000000000 | 192194000000000 | 235508000000000 | 287707000000000 | 373795941000000 | 572763941000000 | 682646940800000 | 843268372600000 | 896705550000000 | 954519013900000 | 990812022800000 | 1.13926318783893E+15 | 1.2818542882479E+15 | 1.39109630416087E+15 | 1.603280815468E+15 | 1.8196422539194E+15 | 1.99815027676732E+15 | 2.2847025147E+15 | 2.78469347184782E+15 | ||||||||||
Net foreign assets (current LCU) | FM.AST.NFRG.CN | -5564219979.14577 | -38854599963.4554 | -43000000000 | -58000000000 | 117000000000 | 296000000000 | 659000000000 | -345000000000 | 525000000000 | 1061000000000 | 1844000000000 | 3483000000000 | 6539622276835.22 | 6811123954074.45 | 5590165730182.56 | 8390725303989.7 | 11918807651854.6 | 14083470885383.1 | 15892398888687.9 | 16205755044880 | 13750925497050 | 12568287633580 | 10659146468282.8 | 17283257781014.4 | 31502399420000 | 30794526391536 | 26351113959944.2 | 33737312744759.2 | 51633372829800.3 | 60331225377584.4 | 111843514289620 | 116141186594363 | 177940847130711 | 226078706129356 | 230831765199332 | 251314781790273 | 241549625822753 | 304043614678228 | 401983135344839 | 510364049655120 | 584319793712596 | 639005815576752 | 813214645443523 | 907389662026769 | |||||||||
Claims on private sector (annual growth as % of broad money) | FM.AST.PRVT.ZG.M3 | 23.5909326615 | 26.9408094739 | 23.2735454034 | 26.9744441967 | 20 | 21.7445858329 | 25.4258841852 | 32.4830906631 | 46.0296437046 | 66.4538900189 | 19.5704921298 | 10.4396760125 | 27.4650821694 | 25.6679369443 | 25.8582755375 | 23.596085659 | 30.8426367721 | 36.095464063 | -49.3529306891 | 7.8206444565 | 7.6603948592 | 6.3815400675 | 8.470958127 | 15.0800718389 | 12.3086641511 | 7.3552263078 | 13.315808921 | 18.6892848446 | 4.9935026363 | 12.865032082 | 17.2858310745 | ||||||||||||||||||||||
Broad money (current LCU) | FM.LBL.BMNY.CN | 230000000000 | 321000000000 | 458000000000 | 661000000000 | 988000000000 | 1455000000000 | 1997000000000 | 2620000000000 | 3131000000000 | 3808000000000 | 5216000000000 | 7771630000000 | 9818970000000 | 11200700000000 | 14802900000000 | 18155000000000 | 23431120000000 | 27994700000000 | 34374500000000 | 42734200000000 | 59044700000000 | 85353500000000 | 100312500000000 | 119996000000000 | 144063000000000 | 173167000000000 | 220829000000000 | 280631000000000 | 351504000000000 | 572118000000000 | 642107000000000 | 748845284800000 | 839586263400000 | 879560434400000 | 953532428000000 | 1.033876781462E+15 | 1.20276224837547E+15 | 1.38249328136562E+15 | 1.649661781092E+15 | 1.89583862005598E+15 | 2.14138377898218E+15 | 2.4712058709E+15 | 2.87721965387607E+15 | ||||||||||
Broad money (% of GDP) | FM.LBL.BMNY.GD.ZS | 8.0182393996 | 9.1071319464 | 11.8198425262 | 13.7247693124 | 13.8646425596 | 12.8766758853 | 14.9684435324 | 16.0525444995 | 15.5892138774 | 15.8650139082 | 15.1872051493 | 15.888517715 | 16.807175185 | 17.8792105494 | 19.070298605 | 20.1980081807 | 24.1565899321 | 27.2633333512 | 27.5399404547 | 28.5524166979 | 32.8790012076 | 40.477544001 | 40.1300392772 | 42.49226805 | 43.6850926552 | 45.3056176275 | 48.5857305038 | 52.6939290486 | 55.9991378985 | 59.8604136524 | 58.3876096488 | 53.8826812122 | 50.9976944607 | 48.2788620738 | 47.3528566602 | 45.0328839412 | 43.3540142161 | 41.4017227443 | 41.754147672 | 38.3099210919 | 38.1966836785 | 38.3949953454 | 38.7395490256 | ||||||||||
Broad money to total reserves ratio | FM.LBL.BMNY.IR.ZS | 5.7966086754 | 5.5197325129 | 6.2226773485 | 2.7459019133 | 2.9350578635 | 2.337145347 | 8.1239594822 | 4.1970897025 | 2.9742739837 | 3.218280286 | 1.9907935184 | 1.8220106016 | 2.4875639027 | 3.711480635 | 3.3207235157 | 3.0883032096 | 3.5226604822 | 4.1460160581 | 2.9472977491 | 4.010124508 | 4.9791450402 | 5.3503593604 | 4.9656292843 | 5.1483662625 | 5.5335070787 | 6.0161487754 | 6.5877299191 | 6.1770095002 | 6.9090684699 | 2.42033154 | 2.9893271595 | 3.0292631879 | 2.9115179399 | 2.9488649072 | 3.0662741291 | 3.1853129028 | 3.5684615826 | 3.5434028783 | 3.1696857074 | 3.7851630273 | 3.1171366562 | 2.8255288156 | 2.9786555119 | ||||||||||
Broad money growth (annual %) | FM.LBL.BMNY.ZG | 39.5652173913 | 42.6791277259 | 44.3231441048 | 49.4704992436 | 47.2672064777 | 37.2508591065 | 31.1967951928 | 19.5038167939 | 21.6224848291 | 36.974789916 | 48.9959739264 | 26.3437657222 | 14.0720462533 | 32.1604899694 | 22.6448871505 | 29.0615257505 | 19.4765764505 | 22.7893136915 | 24.3194810106 | 38.1673226596 | 44.5574285245 | 17.5259362533 | 19.6221806854 | 20.0565018834 | 20.2022726168 | 27.5237198773 | 27.0806823379 | 25.2548720562 | 62.7628704083 | 12.2333155048 | 16.6231305374 | 12.1174534235 | 4.7611749671 | 8.4101092667 | 8.4259696999 | 16.3351639133 | 14.9431887501 | 19.3251210207 | 14.9228673287 | 12.9517964414 | 15.4022877709 | 16.4297838459 | |||||||||||
Money (current LCU) | FM.LBL.MONY.CN | 180020000000 | 241000000000 | 313000000000 | 471000000000 | 669000000000 | 940000000000 | 1250000000000 | 1601000000000 | 2006000000000 | 2488000000000 | 3379000000000 | 5040220000000 | 6542750000000 | 7192700000000 | 7634800000000 | 8701200000000 | 10243900000000 | 11790600000000 | 12826800000000 | 14560900000000 | 20788400000000 | 23803400000000 | 26676300000000 | 28426000000000 | 34661000000000 | 42887000000000 | 49572000000000 | 54534000000000 | 72431000000000 | 90768000000000 | 116880000000000 | 160923094500000 | 230852614200000 | 242431459900000 | 275759448500000 | 313457390904062 | 351628488058726 | 426882099475723 | 538521889437000 | 569637477312675 | 640216745717828 | 744539007200000 | 876258371127317 | ||||||||||
Money and quasi money (M2) (current LCU) | FM.LBL.MQMY.CN | 230000000000 | 321000000000 | 458000000000 | 661000000000 | 988000000000 | 1455000000000 | 1997000000000 | 2620000000000 | 3131000000000 | 3808000000000 | 5216000000000 | 7771630000000 | 9818970000000 | 11200700000000 | 14802900000000 | 18155000000000 | 23431120000000 | 27994700000000 | 34374500000000 | 42734200000000 | 59044700000000 | 85353500000000 | 100312500000000 | 119996000000000 | 144063000000000 | 173167000000000 | 220829000000000 | 280631000000000 | 351504000000000 | 572118000000000 | 642107000000000 | 748845284800000 | 839586263400000 | 879560434400000 | 953532428000000 | 1.033876781462E+15 | 1.20276224837547E+15 | 1.38249328136562E+15 | 1.649661781092E+15 | 1.89583862005598E+15 | 2.14138377898218E+15 | 2.4712058709E+15 | 2.87721965387607E+15 | ||||||||||
Money and quasi money (M2) as % of GDP | FM.LBL.MQMY.GD.ZS | 8.0182393996 | 9.1071319464 | 11.8198425262 | 13.7247693124 | 13.8646425596 | 12.8766758853 | 14.9684435324 | 16.0525444995 | 15.5892138774 | 15.8650139082 | 15.1872051493 | 15.888517715 | 16.807175185 | 17.8792105494 | 19.070298605 | 20.1980081807 | 24.1565899321 | 27.2633333512 | 27.5399404547 | 28.5524166979 | 32.8790012076 | 40.477544001 | 40.1300392772 | 42.49226805 | 43.6850926552 | 45.3056176275 | 48.5857305038 | 52.6939290486 | 55.9991378985 | 59.8604136524 | 58.3876096488 | 53.8826812122 | 50.9976944607 | 48.2788620738 | 47.3528566602 | 45.0328839412 | 43.3540142161 | 41.4017227443 | 41.754147672 | 38.3099210919 | 38.1966836785 | 38.3949953454 | 38.7395490256 | ||||||||||
Money and quasi money (M2) to total reserves ratio | FM.LBL.MQMY.IR.ZS | 5.7966086754 | 5.5197325129 | 6.2226773485 | 2.7459019133 | 2.9350578635 | 2.337145347 | 8.1239594822 | 4.1970897025 | 2.9742739837 | 3.218280286 | 1.9907935184 | 1.8220106016 | 2.4875639027 | 3.711480635 | 3.3207235157 | 3.0883032096 | 3.5226604822 | 4.1460160581 | 2.9472977491 | 4.010124508 | 4.9791450402 | 5.3503593604 | 4.9656292843 | 5.1483662625 | 5.5335070787 | 6.0161487754 | 6.5877299191 | 6.1770095002 | 6.9090684699 | 2.42033154 | 2.9893271595 | 3.0292631879 | 2.9115179399 | 2.9488649072 | 3.0662741291 | 3.1853129028 | 3.5684615826 | 3.5434028783 | 3.1696857074 | 3.7851630273 | 3.1171366562 | 2.8255288156 | 2.9786555119 | ||||||||||
Money and quasi money growth (annual %) | FM.LBL.MQMY.ZG | 39.5652173913 | 42.6791277259 | 44.3231441048 | 49.4704992436 | 47.2672064777 | 37.2508591065 | 31.1967951928 | 19.5038167939 | 21.6224848291 | 36.974789916 | 48.9959739264 | 26.3437657222 | 14.0720462533 | 32.1604899694 | 22.6448871505 | 29.0615257505 | 19.4765764505 | 22.7893136915 | 24.3194810106 | 38.1673226596 | 44.5574285245 | 17.5259362533 | 19.6221806854 | 20.0565018834 | 20.2022726168 | 27.5237198773 | 27.0806823379 | 25.2548720562 | 62.7628704083 | 12.2333155048 | 16.6231305374 | 12.1174534235 | 4.7611749671 | 8.4101092667 | 8.4259696999 | 16.3351639133 | 14.9431887501 | 19.3251210207 | 14.9228673287 | 12.9517964414 | 15.4022877709 | 16.4297838459 | |||||||||||
Quasi money (current LCU) | FM.LBL.QMNY.CN | 50000000000 | 80000000000 | 145000000000 | 190000000000 | 319000000000 | 515000000000 | 747000000000 | 1019000000000 | 1125000000000 | 1320000000000 | 1837000000000 | 2731410000000 | 3276220000000 | 4008000000000 | 7168100000000 | 9453800000000 | 13187220000000 | 16204100000000 | 21547700000000 | 28173300000000 | 38256300000000 | 61550100000000 | 73636200000000 | 91570000000000 | 109402000000000 | 130280000000000 | 171257000000000 | 226097000000000 | 279073000000000 | 481350000000000 | 525227000000000 | 587922190300000 | 608733649200000 | 637128974500000 | 677772979500000 | 720419390557941 | 851133760316747 | 955611181889900 | 1.111139891655E+15 | 1.3262011427433E+15 | 1.50116703326435E+15 | 1.7266668637E+15 | 2.00096128274875E+15 | ||||||||||
Consumer price index (2005 = 100) | FP.CPI.TOTL | 0.0004038693 | 0.0004591668 | 0.0010625021 | 0.0026128072 | 0.0054606287 | 0.0222118232 | 0.2745945777 | 0.5656648301 | 1.294484605 | 1.4953963044 | 1.6800611579 | 1.7532863786 | 1.8674719572 | 2.4470953449 | 3.4406700586 | 4.0962646129 | 4.9097510493 | 5.4516176826 | 5.8937149527 | 6.8520500289 | 8.0865942157 | 9.0767471955 | 9.9373542982 | 11.1086990654 | 12.2701716177 | 12.8504767927 | 13.5992993833 | 14.8607011678 | 16.0559720455 | 17.0863898669 | 18.421294387 | 20.1558676819 | 21.6727450158 | 23.7723540679 | 25.7974013937 | 28.2306263752 | 30.4801782396 | 32.3790616959 | 51.2842526775 | 61.7919434824 | 64.0906186134 | 71.4623808595 | 79.95122302 | 85.2165860548 | 90.5371014377 | 100 | 113.1094152836 | 120.3568427705 | 132.1236320422 | 138.4834352105 | 145.5914505164 | 153.3915119011 | |
Inflation, consumer prices (annual %) | FP.CPI.TOTL.ZG | 13.6919315403 | 131.3978494624 | 145.9107806691 | 108.9947089947 | 306.7631103074 | 1136.2541122077 | 106 | 128.8430420712 | 15.5205939544 | 12.3488905891 | 4.3584854263 | 6.5126598799 | 31.037863007 | 40.602206845 | 19.0542697526 | 19.8592257416 | 11.0365398956 | 8.1094694426 | 16.2602888647 | 18.0171508023 | 12.2443757332 | 9.4814484107 | 11.7872899776 | 10.4555226983 | 4.7293973805 | 5.8271969407 | 9.2754909576 | 8.0431660937 | 6.4176607839 | 7.8126774032 | 9.4161314533 | 7.5257357201 | 9.687785514 | 8.5184972426 | 9.4320545871 | 7.9684801695 | 6.2298961684 | 58.3870871837 | 20.4891175289 | 3.7200240055 | 11.5020925145 | 11.8787564288 | 6.5857191872 | 6.2435209261 | 10.4519566145 | 13.1094152836 | 6.4074484593 | 9.7765851951 | 4.8135243257 | 5.1327548995 | 5.3574996039 | ||
Wholesale price index (2005 = 100) | FP.WPI.TOTL | 0.9910779025 | 1.1253465802 | 1.5554852899 | 2.3024683515 | 2.4473893413 | 2.8068429415 | 3.2009784879 | 3.5070053757 | 5.3442401909 | 6.6515939654 | 7.3877940468 | 7.9349166132 | 9.3579161766 | 10.5358800241 | 10.9019723457 | 11.1437185136 | 13.194661809 | 14.1460499536 | 15.1364294156 | 16.6570907943 | 17.5148997772 | 18.4194983409 | 19.1681316351 | 20.1351163066 | 22.4278057699 | 24.1902133165 | 26.3581305641 | 53.2798340052 | 58.7527415929 | 66.0909793151 | 75.443329093 | 77.5729793596 | 79.1756817047 | 85.9404439556 | 100 | 113.4589349485 | 130.16607482 | 165.2926285997 | 162.2911618297 | 170.1967144326 | 182.8450998766 | ||||||||||||
Deposit interest rate (%) | FR.INR.DPST | 21 | 21 | 15 | 12 | 12 | 12 | 12 | 9 | 6 | 6 | 6 | 6 | 6 | 6 | 16 | 18 | 15.39 | 16.7841666667 | 17.7175 | 18.6275 | 17.5308333333 | 23.3166666667 | 19.6025 | 14.5475 | 12.5333333333 | 16.7175 | 17.2558333333 | 20.0141666667 | 39.0666666667 | 25.7375 | 12.5033333333 | 15.4816666667 | 15.5025 | 10.59 | 6.4433333333 | 8.0791666667 | 11.4108333333 | 7.9758333333 | 8.4925 | 9.2783333333 | 7.0166666667 | ||||||||||||
Lending interest rate (%) | FR.INR.LEND | 21.4916666667 | 21.6666666667 | 22.0975 | 21.6991666667 | 20.825 | 25.5333333333 | 24.0333333333 | 20.5866666667 | 17.76 | 18.8516666667 | 19.2175 | 21.8175 | 32.1541666667 | 27.6625 | 18.455 | 18.5475 | 18.945 | 16.935 | 14.1241666667 | 14.0508333333 | 15.9791666667 | 13.8616666667 | 13.5983333333 | 14.4983333333 | 13.2516666667 | 12.4033333333 | |||||||||||||||||||||||||||
Interest rate spread (lending rate minus deposit rate, %) | FR.INR.LNDP | 6.1016666667 | 4.8825 | 4.38 | 3.0716666667 | 3.2941666667 | 2.2166666666 | 4.4308333333 | 6.0391666667 | 5.2266666667 | 2.1341666667 | 1.9616666667 | 1.8033333333 | -6.9125 | 1.925 | 5.9516666667 | 3.0658333333 | 3.4425 | 6.345 | 7.6808333334 | 5.9716666666 | 4.5683333334 | 5.8858333334 | 5.1058333333 | 5.22 | 6.235 | ||||||||||||||||||||||||||||
Real interest rate (%) | FR.INR.RINR | 21.6095012677 | 5.3958389243 | 8.2949345114 | 10.642480571 | 12.1617284393 | 15.3505021759 | 17.7185386956 | 10.7517908192 | 9.2632750146 | 8.3392128912 | 9.520961675 | 8.2136302403 | -24.6002176663 | 11.826529786 | -1.6542144724 | 3.719985957 | 12.3224124962 | 10.8520733498 | 5.1344047541 | -0.2457343987 | 1.6581536096 | 2.3396741081 | -3.8522460217 | 5.7479543809 | 4.7573925615 | 3.6977117719 | |||||||||||||||||||||||||||
Risk premium on lending (lending rate minus treasury bill rate, %) | FR.INR.RISK | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Claims on central government, etc. (% GDP) | FS.AST.CGOV.GD.ZS | -8.5502980988 | -7.9441061936 | -8.1787487471 | -6.9826132358 | -9.5821219862 | -9.4941273266 | -8.4335611439 | -5.4713744594 | -4.6850625758 | -4.8478188341 | -5.7017645355 | -5.397157741 | -2.1919658924 | -4.2656212794 | -4.160695959 | -4.4000834326 | -4.2931607476 | -5.4749487147 | -1.1116883144 | 37.5665295065 | 37.6854478213 | 33.1834580841 | 29.8354970822 | 25.1251637405 | 21.7925167857 | 18.2463238768 | 15.4427348908 | 13.2268176016 | 8.2121810257 | 8.1017528759 | 5.8213917441 | 5.4199992711 | |||||||||||||||||||||
Claims on other sectors of the domestic economy (% of GDP) | FS.AST.DOMO.GD.ZS | 21.2837451726 | 22.557823509 | 24.0790146547 | 27.8307147602 | 27.9585924404 | 26.2166237996 | 27.3533938673 | 28.5580115559 | 28.8646336887 | 30.633383888 | 33.1214529976 | ||||||||||||||||||||||||||||||||||||||||||
Domestic credit provided by banking sector (% of GDP) | FS.AST.DOMS.GD.ZS | 10.1271967251 | 10.7242862173 | 13.3424859957 | 13.3249657621 | 15.2398803844 | 12.2837292981 | 21.0097882931 | 20.1146960275 | 16.4256839928 | 18.839704016 | 13.440210692 | 8.196060511 | 10.2578856414 | 14.156097647 | 14.349134286 | 13.5029052652 | 16.1680586165 | 20.9870023154 | 24.3584802576 | 28.6937282501 | 35.2184922673 | 46.6731759739 | 46.3721031163 | 46.5759111311 | 47.4364256223 | 50.2836445413 | 51.8153332194 | 54.0225856901 | 59.5505326993 | 59.9279981288 | 62.0739582458 | 60.6768338126 | 54.4672032567 | 52.3933205912 | 49.2041783951 | 49.6232315459 | 46.2049163172 | 41.6593586904 | 40.5802114688 | 36.7701925816 | 36.9663865646 | 36.4547756321 | 38.5414522687 | ||||||||||
Domestic credit to private sector (% of GDP) | FS.AST.PRVT.GD.ZS | 8.9942246286 | 10.6686947227 | 14.1717409785 | 14.7957813975 | 17.2196502793 | 19.7005461691 | 23.5715686933 | 25.0941979356 | 28.3877202554 | 34.6126958891 | 48.0852555608 | 47.2458128312 | 45.5291500361 | 48.9814132116 | 51.9353123769 | 53.526391215 | 55.4655939277 | 60.8489426117 | 53.2378901832 | 20.5928426364 | 19.9085406512 | 20.2905270779 | 21.2766954981 | 22.9497432346 | 26.3925246919 | 26.4278526511 | 24.6060340356 | 25.4559902055 | 26.5534798271 | 27.6587103201 | 29.0647344997 | 31.7211272697 | |||||||||||||||||||||
Liquid liabilities (M3) as % of GDP | FS.LBL.LIQU.GD.ZS | 10.6714627205 | 6.7556619964 | 6.0337658286 | 5.6989315311 | 8.0234686861 | 9.0952160729 | 11.8123583464 | 32.6584227024 | 33.6642258897 | 34.4275329333 | |||||||||||||||||||||||||||||||||||||||||||
Quasi-liquid liabilities (% of GDP) | FS.LBL.QLIQ.GD.ZS | 1.74762757 | 2.2577743311 | 3.734605703 | 21.2386310883 | 22.0963625836 | 22.629388123 | |||||||||||||||||||||||||||||||||||||||||||||||
Research and development expenditure (% of GDP) | GB.XPD.RSDV.GD.ZS | 0.0676929179 | 0.0475632956 | 0.0833594214 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Cash surplus/deficit (current LCU) | GC.BAL.CASH.CN | 1690000000000 | -2740000000000 | 1779000000000 | 10799000000000 | 7805000000000 | 10557000000000 | 8260600000000 | -17610200000000 | -40415500000000 | -17106691000000 | -35109147130883 | -23364838000000 | -3493720641532 | -20861666575215 | -40346615279566 | -16586753932355 | -93719310377562 | -36389123210813.3 | |||||||||||||||||||||||||||||||||||
Cash surplus/deficit (% of GDP) | GC.BAL.CASH.GD.ZS | 0.6760848985 | -0.9702724629 | 0.5394569031 | 2.8253383425 | 1.7172184205 | 1.9822821034 | 1.3160205247 | -1.8425462169 | -3.6750330362 | -0.9389821814 | -1.7435363106 | -1.0177093217 | -0.1259324647 | -0.6247472933 | -1.0212023772 | -0.3351747494 | -1.6717072802 | -0.5653758891 | |||||||||||||||||||||||||||||||||||
Central government debt, total (current LCU) | GC.DOD.TOTL.CN | 87435000000000 | 105546000000000 | 118797000000000 | 138841000000000 | 136781000000000 | 127324000000000 | 450890300000000 | 514134000000000 | 490685300000000 | 587069900000000 | 598411660000000 | 1.2995E+15 | 1.31329E+15 | 1.30216E+15 | 1.38941E+15 | 1.63674E+15 | 1.59066E+15 | 1.676681E+15 | |||||||||||||||||||||||||||||||||||
Central government debt, total (% of GDP) | GC.DOD.TOTL.GD.ZS | 34.9783923659 | 37.3753202074 | 36.0235310396 | 36.3249190493 | 30.0938952948 | 23.9075576903 | 71.8326621796 | 53.7935773962 | 44.6186410626 | 32.224126531 | 29.717396837 | 56.6027148795 | 47.3380282818 | 38.9959705521 | 35.1669845188 | 33.0742182296 | 28.3732124323 | 26.05050431 | |||||||||||||||||||||||||||||||||||
Net incurrence of liabilities, domestic (current LCU) | GC.FIN.DOMS.CN | -15616176304168 | 18165063411055 | 45116325713305 | 46883994685900 | 52613982572348 | 64200091750248 | |||||||||||||||||||||||||||||||||||||||||||||||
Net incurrence of liabilities, domestic (% of GDP) | GC.FIN.DOMS.GD.ZS | -0.5628909042 | 0.5439917352 | 1.141927241 | 0.9474024413 | 0.9384957844 | 0.9974734412 | |||||||||||||||||||||||||||||||||||||||||||||||
Net incurrence of liabilities, foreign (current LCU) | GC.FIN.FRGN.CN | 1798000000000 | 1159000000000 | -451000000000 | -303000000000 | -1677000000000 | -2658000000000 | 3432400000000 | 49705300000000 | 15942000000000 | -2462336000000 | -6709689000000 | -9733281971413.7 | 13694886519712 | -4535047630188 | -1015385134844 | 41963500755756 | 25056174280013 | 4162258618370.83 | |||||||||||||||||||||||||||||||||||
Net incurrence of liabilities, foreign (% of GDP) | GC.FIN.FRGN.GD.ZS | 0.7192903239 | 0.4104181695 | -0.136759451 | -0.079273777 | -0.3689654441 | -0.4990912031 | 0.5468257571 | 5.2006401105 | 1.4496264221 | -0.1351570347 | -0.3332062257 | -0.4239555092 | 0.4936372967 | -0.1358117158 | -0.0257001413 | 0.8479721774 | 0.4469365896 | 0.0646687927 | |||||||||||||||||||||||||||||||||||
Grants and other revenue (current LCU) | GC.REV.GOTR.CN | 2487000000000 | 2992100000000 | 4936000000000 | 5549000000000 | 7272000000000 | 7667000000000 | 9464600000000 | 9774000000000 | 13579700000000 | 110001860000000 | 83050609000000 | 91972681981988 | 117496562000000 | 138749511288289 | 217002550931048 | 206948030263888 | 320995740248341 | 222275045725775 | 271057367752471 | ||||||||||||||||||||||||||||||||||
Grants and other revenue (% of revenue) | GC.REV.GOTR.ZS | 5.9805218228 | 6.3002189842 | 9.441469013 | 8.5329847763 | 10.2434077079 | 9.2958122166 | 8.6140723394 | 6.3960233932 | 7.3897096836 | 36.5921434803 | 27.8209617762 | 26.9416754486 | 29.3309095258 | 28.5727618053 | 34.6535644579 | 29.6514054322 | 33.2253432351 | 25.7529618245 | 27.9253099973 | ||||||||||||||||||||||||||||||||||
Social contributions (current LCU) | GC.REV.SOCL.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Social contributions (% of revenue) | GC.REV.SOCL.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Revenue, excluding grants (current LCU) | GC.REV.XGRT.CN | 41585000000000 | 47492000000000 | 52280000000000 | 65030000000000 | 70992000000000 | 82478000000000 | 109873700000000 | 152813700000000 | 183765000000000 | 300564460000000 | 298518009000000 | 340909246754391 | 400311600000000 | 484299230634175 | 624432241688424 | 696240001001741 | 963844553465851 | 861955120629062 | 968560595362816 | ||||||||||||||||||||||||||||||||||
Revenue, excluding grants (% of GDP) | GC.REV.XGRT.GD.ZS | 16.6360890551 | 16.8175838714 | 15.8531798173 | 17.0137746471 | 15.6193171184 | 15.4868488516 | 17.5043028748 | 15.9888192536 | 16.709986166 | 18.2567237758 | 16.3855821833 | 16.9297091758 | 17.4364935419 | 17.45674655 | 18.6999610714 | 17.6223442588 | 19.476767905 | 15.3750240433 | 15.048474912 | ||||||||||||||||||||||||||||||||||
Taxes on exports (current LCU) | GC.TAX.EXPT.CN | 19000000000 | 8400000000 | 14000000000 | 131000000000 | 186000000000 | 70000000000 | 128500000000 | 4630000000000 | 858000000000 | 542300000000 | 231000000000 | 229673438570 | 297800000000 | 60024305054 | 940130578973 | 3960947771927 | 22764177601365 | 18105495831908 | 19759183417044 | ||||||||||||||||||||||||||||||||||
Taxes on exports (% of tax revenue) | GC.TAX.EXPT.ZS | 0.0485958361 | 0.0188764469 | 0.0295708009 | 0.2202383955 | 0.2919020716 | 0.0935691275 | 0.1279764483 | 3.236863612 | 0.5041563519 | 0.2845013645 | 0.1072087438 | 0.0920887997 | 0.1051951126 | 0.0173054956 | 0.2297467356 | 0.8067290137 | 3.528665634 | 2.8253207879 | 2.8243791437 | ||||||||||||||||||||||||||||||||||
Taxes on goods and services (current LCU) | GC.TAX.GSRV.CN | 11149000000000 | 13095000000000 | 14842000000000 | 21905000000000 | 22465000000000 | 25702000000000 | 31720100000000 | 38163000000000 | 46207400000000 | 78254100000000 | 93704500000000 | 110687802615406 | 135167200000000 | 72805005957168 | 174356618319419 | 199239297664308 | 260959523024201 | 271299619596367 | 285751748455170 | ||||||||||||||||||||||||||||||||||
Taxes on goods and services (% of revenue) | GC.TAX.GSRV.RV.ZS | 26.8101478899 | 27.5730649373 | 28.389441469 | 33.6844533292 | 31.6444106378 | 31.1622493271 | 28.8696020977 | 24.97354622 | 25.1448317144 | 26.0312439728 | 31.3898879749 | 32.4239196892 | 33.7420673982 | 14.9927742025 | 27.8433515443 | 28.5469022611 | 27.0111675508 | 31.4329875567 | 29.4391782228 | ||||||||||||||||||||||||||||||||||
Taxes on goods and services (% value added of industry and services) | GC.TAX.GSRV.VA.ZS | 5.4562999629 | 5.7021826033 | 5.4805403668 | 6.9287123289 | 5.9649320032 | 5.7916581046 | 6.0225841423 | 4.874407462 | 5.2268160903 | 5.6112419735 | 6.0837494042 | 6.4809638746 | 6.8727861367 | 3.0208143935 | 5.9998972578 | 5.8445742486 | 6.1662934227 | 5.7127656889 | 5.2423606731 | ||||||||||||||||||||||||||||||||||
Customs and other import duties (current LCU) | GC.TAX.IMPT.CN | 2133000000000 | 2652200000000 | 2888000000000 | 4093000000000 | 3029000000000 | 2807000000000 | 2998700000000 | 2306000000000 | 4177000000000 | 9025600000000 | 10344400000000 | 10884595527471 | 12444000000000 | 15179142354783 | 344711690871 | 16975871449123 | |||||||||||||||||||||||||||||||||||||
Customs and other import duties (% of tax revenue) | GC.TAX.IMPT.ZS | 5.4555220216 | 5.9600133933 | 6.1000337952 | 6.8811889511 | 4.7536095417 | 3.7521220141 | 2.9864823009 | 1.6121398465 | 2.4543835455 | 4.735009249 | 4.8009096499 | 4.3642370837 | 4.3957286122 | 4.3762702621 | 0.0842397721 | 3.4574876567 | |||||||||||||||||||||||||||||||||||||
Taxes on international trade (current LCU) | GC.TAX.INTT.CN | 2152000000000 | 2660600000000 | 2902000000000 | 4224000000000 | 3215000000000 | 2877000000000 | 3127200000000 | 6936000000000 | 5035000000000 | 9567900000000 | 10575400000000 | 11114268966041 | 12741800000000 | 15239166659837 | 1284842269844 | 20936819221050 | 22764177601365 | 18105495831908 | 19759183417044 | ||||||||||||||||||||||||||||||||||
Taxes on international trade (% of revenue) | GC.TAX.INTT.RV.ZS | 5.1749428881 | 5.6022066874 | 5.5508798776 | 6.4954636322 | 4.5286792878 | 3.4882029147 | 2.8461770196 | 4.5388600629 | 2.7399123881 | 3.1827640879 | 3.5426326515 | 3.2557170334 | 3.1807618592 | 3.1382098217 | 0.2051789909 | 2.9998164969 | 2.3562543655 | 2.0977170039 | 2.0356625123 | ||||||||||||||||||||||||||||||||||
Other taxes (current LCU) | GC.TAX.OTHR.CN | 1178000000000 | 1461200000000 | 1819000000000 | 457000000000 | 964000000000 | 864000000000 | 614500000000 | 627700000000 | 778600000000 | 8330600000000 | 9314100000000 | 12586654890864 | 16260900000000 | 21664405841240 | 38213414724199 | 32297223248894 | 33756176221568 | 33772269025792 | 39948710599666 | ||||||||||||||||||||||||||||||||||
Other taxes (% of revenue) | GC.TAX.OTHR.RV.ZS | 2.8327521943 | 3.0767287122 | 3.4793420046 | 0.7027525757 | 1.3578994816 | 1.0475520745 | 0.5592785171 | 0.4107616006 | 0.4236933039 | 2.7711759645 | 3.1201122207 | 3.6870249268 | 4.0592420628 | 4.4613627969 | 6.1023754081 | 4.6275292385 | 3.4940044388 | 3.9128816827 | 4.1156605952 | ||||||||||||||||||||||||||||||||||
Tax revenue (current LCU) | GC.TAX.TOTL.CN | 39098000000000 | 44499900000000 | 47344000000000 | 59481000000000 | 63720000000000 | 74811000000000 | 100409100000000 | 143039700000000 | 170185300000000 | 190614200000000 | 215467500000000 | 249404313253852 | 283093000000000 | 346851118548758 | 409203019335450 | 490988634954090 | 645121413086003 | 640829739039310 | 699593872211384 | ||||||||||||||||||||||||||||||||||
Tax revenue (% of GDP) | GC.TAX.TOTL.GD.ZS | 15.6411641187 | 15.7580392596 | 14.3564067572 | 15.5619918466 | 14.0193667847 | 14.0472204641 | 15.9964695627 | 14.9661706339 | 15.4751667002 | 11.5781845836 | 11.8269595892 | 12.3855323103 | 12.3307674978 | 12.5023780425 | 12.2544609663 | 12.4272818854 | 13.0362100279 | 11.4307258111 | 10.8695531131 | ||||||||||||||||||||||||||||||||||
Taxes on income, profits and capital gains (current LCU) | GC.TAX.YPKG.CN | 24619000000000 | 27283100000000 | 27781000000000 | 32895000000000 | 37076000000000 | 45368000000000 | 64947300000000 | 97313000000000 | 118164300000000 | 94461600000000 | 101873500000000 | 115015586781541 | 118923100000000 | 237142540090513 | 195348144021988 | 238515294819838 | 327641536238869 | 317652354585243 | 354134229739504 | ||||||||||||||||||||||||||||||||||
Taxes on income, profits and capital gains (% of revenue) | GC.TAX.YPKG.RV.ZS | 59.201635205 | 57.4477806789 | 53.1388676358 | 50.5843456866 | 52.2256028848 | 55.0061834671 | 59.1108700262 | 63.6808087233 | 64.30185291 | 31.4226724946 | 34.1264053766 | 33.6916630441 | 29.687019154 | 48.8348913736 | 31.1955295988 | 34.1743465713 | 33.9132304098 | 36.8034519322 | 36.4841886724 | ||||||||||||||||||||||||||||||||||
Taxes on income, profits and capital gains (% of total taxes) | GC.TAX.YPKG.ZS | 62.9674152131 | 61.310474855 | 58.6790300777 | 55.3033741867 | 58.1858129316 | 60.6434882571 | 64.6826831433 | 68.0321617006 | 69.4327300889 | 49.5564338858 | 47.2802162739 | 46.1161177531 | 42.008491909 | 68.3701240702 | 47.7386858824 | 48.5785775555 | 50.7875772828 | 49.5689159279 | 50.6199730738 | ||||||||||||||||||||||||||||||||||
Compensation of employees (current LCU) | GC.XPN.COMP.CN | 6787000000000 | 8104400000000 | 9810700000000 | 8748000000000 | 8851000000000 | 12731000000000 | 11085500000000 | 15115000000000 | 19124100000000 | 21259200000000 | 47661500000000 | 49270000000000 | 48350919716048 | 72836320300832 | 90305220159712 | 112576006722383 | 127379914875958 | 147205588898702 | |||||||||||||||||||||||||||||||||||
Compensation of employees (% of expense) | GC.XPN.COMP.ZS | 26.5532081377 | 26.630302632 | 27.7783440645 | 23.3211591267 | 20.4960170433 | 24.0889309366 | 14.0868964098 | 11.9993744289 | 10.7471669697 | 7.5809698372 | 15.4778060951 | 13.550304688 | 10.5398678091 | 12.2518637072 | 13.3229169126 | 12.3331728801 | 14.4269399873 | 15.8611802833 | |||||||||||||||||||||||||||||||||||
Goods and services expense (current LCU) | GC.XPN.GSRV.CN | 3688000000000 | 4231400000000 | 4445400000000 | 7741000000000 | 9401000000000 | 10709000000000 | 15357400000000 | 18675000000000 | 20452500000000 | 26129200000000 | 30033200000000 | 29579600000000 | 31867837193366 | 47065451829540 | 55867894894147 | 55880289862775 | 80567042949902 | 97579188176128 | |||||||||||||||||||||||||||||||||||
Goods and services expense (% of expense) | GC.XPN.GSRV.ZS | 14.4287949922 | 13.9039858049 | 12.5868542208 | 20.6366132601 | 21.7696369026 | 20.2630085147 | 19.5154122884 | 14.8255585485 | 11.493687674 | 9.3175978904 | 9.7531140651 | 8.1350231895 | 6.9467715062 | 7.9169224743 | 8.2423067065 | 6.1219197192 | 9.1249542341 | 10.51401042 | |||||||||||||||||||||||||||||||||||
Interest payments (current LCU) | GC.XPN.INTP.CN | 4562000000000 | 5385700000000 | 6344000000000 | 7565000000000 | 7130000000000 | 6426000000000 | 10817600000000 | 31264000000000 | 42910000000000 | 81121600000000 | 65350600000000 | 62485700000000 | 57632203689928 | 76685096954315 | 77724554787341 | 88361461834121 | 94038815561174 | 90973383685663 | |||||||||||||||||||||||||||||||||||
Interest payments (% of revenue) | GC.XPN.INTP.RV.ZS | 10.9703017915 | 11.3402257222 | 12.1346595256 | 11.6330924189 | 10.0433851702 | 7.791168554 | 9.8454862265 | 20.4588986459 | 23.3504747912 | 27.1747668079 | 19.1432349001 | 15.5984343896 | 11.868230836 | 12.2459940626 | 11.1363335186 | 9.1460400562 | 10.8954112202 | 9.3724068893 | |||||||||||||||||||||||||||||||||||
Interest payments (% of expense) | GC.XPN.INTP.ZS | 17.848200313 | 17.6969079618 | 17.9626137528 | 20.1674175575 | 16.5107447203 | 12.1589403974 | 13.7464625504 | 24.8196124476 | 24.1141248304 | 28.9277302414 | 21.2222425857 | 17.1849050871 | 12.5630662665 | 12.8992699298 | 11.4668651897 | 9.6803681039 | 10.6507556541 | 9.8022449448 | |||||||||||||||||||||||||||||||||||
Other expense (current LCU) | GC.XPN.OTHR.CN | 792000000000 | 731000000000 | 550000000000 | 787400000000 | 368000000000 | 434600000000 | 200600000000 | 676268923852 | 610960000000 | 44081842030405 | 63875898035230 | 50389964951002 | 84067540963248 | 108260191920781 | 84386880701201 | ||||||||||||||||||||||||||||||||||||||
Other expense (% of expense) | GC.XPN.OTHR.ZS | 2.1113806617 | 1.6927565765 | 1.0406811731 | 1.0005883571 | 0.2921448753 | 0.2442320823 | 0.0715333855 | 0.2196145583 | 0.1680270784 | 9.6092647361 | 10.7446229253 | 7.4341363111 | 9.2099510943 | 12.261456552 | 9.0925591777 | ||||||||||||||||||||||||||||||||||||||
Expense (current LCU) | GC.XPN.TOTL.CN | 25560000000000 | 30433000000000 | 35317800000000 | 37511000000000 | 43184000000000 | 52850000000000 | 78693700000000 | 125964900000000 | 177945500000000 | 280428500000000 | 307934468923852 | 363608060000000 | 458743132187494 | 594491760940372 | 677818684543512 | 912790308032852 | 882930926364830 | 928087231020758 | |||||||||||||||||||||||||||||||||||
Expense (% of GDP) | GC.XPN.TOTL.GD.ZS | 10.2252840267 | 10.7767525048 | 10.7096295744 | 9.8139889403 | 9.5011352045 | 9.9236155315 | 12.5369252072 | 13.1796430451 | 16.180811598 | 15.3926533568 | 15.2921666212 | 15.8377863394 | 16.5355674417 | 17.80332924 | 17.1560872499 | 18.4450956449 | 15.7491775343 | 14.4196423838 | |||||||||||||||||||||||||||||||||||
Subsidies and other transfers (current LCU) | GC.XPN.TRFT.CN | 10523000000000 | 11793200000000 | 13351700000000 | 13699000000000 | 17071000000000 | 22434000000000 | 60542900000000 | 95024300000000 | 151717900000000 | 164212900000000 | 221661800000000 | 276810329557747 | 334028993820455 | 403531049751310 | 571905008650325 | 472684961057015 | 507942189559064 | ||||||||||||||||||||||||||||||||||||
Subsidies and other transfers (% of expense) | GC.XPN.TRFT.ZS | 41.1697965571 | 38.7513554365 | 37.8044498808 | 36.5199541468 | 39.5308447573 | 42.4484389782 | 48.0633096998 | 53.4007884437 | 54.1021686455 | 53.3272226958 | 60.961739957 | 60.3410296821 | 56.1873209634 | 59.5337748801 | 62.6545882025 | 53.5358935725 | 54.7300051742 | ||||||||||||||||||||||||||||||||||||
Business extent of disclosure index (0=less disclosure to 10=more disclosure) | IC.BUS.DISC.XQ | 9 | 9 | 9 | 9 | 10 | 10 | 10 | 10 | |||||||||||||||||||||||||||||||||||||||||||||
Ease of doing business index (1=most business-friendly regulations) | IC.BUS.EASE.XQ | 130 | 128 | |||||||||||||||||||||||||||||||||||||||||||||||||||
New business density (new registrations per 1,000 people ages 15-64) | IC.BUS.NDNS.ZS | 0.1400674 | 0.1563796 | 0.1556818 | 0.162078 | 0.2376409 | 0.1829897 | |||||||||||||||||||||||||||||||||||||||||||||||
New businesses registered (number) | IC.BUS.NREG | 20598 | 23348 | 23599 | 24938 | 37106 | 28998 | |||||||||||||||||||||||||||||||||||||||||||||||
Credit depth of information index (0=low to 6=high) | IC.CRD.INFO.XQ | 2 | 2 | 2 | 3 | 4 | 4 | 4 | 4 | 4 | ||||||||||||||||||||||||||||||||||||||||||||
Private credit bureau coverage (% of adults) | IC.CRD.PRVT.ZS | 0 | 0.1 | 0.2 | 0.2 | 0 | 0 | 0 | 0 | 0 | ||||||||||||||||||||||||||||||||||||||||||||
Public credit registry coverage (% of adults) | IC.CRD.PUBL.ZS | 0.4 | 0 | 8.4 | 20.5 | 26.1 | 22 | 25.2 | 31.8 | 36 | ||||||||||||||||||||||||||||||||||||||||||||
Average time to clear exports through customs (days) | IC.CUS.DURS.EX | 3.71 | 2.25 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Delay in obtaining an electrical connection (days) | IC.ELC.DURS | 14.61 | 15.54 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Power outages in firms in a typical month (number) | IC.ELC.OUTG | 2.05 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Time required to get electricity (days) | IC.ELC.TIME | 101 | 101 | 108 | 108 | |||||||||||||||||||||||||||||||||||||||||||||||||
Firing cost (weeks of wages) | IC.EMP.FIRE.WK | 108 | 108 | 108 | 108 | 108 | 108 | 108 | ||||||||||||||||||||||||||||||||||||||||||||||
Cost to export (US$ per container) | IC.EXP.COST.CD | 486 | 486 | 607 | 644 | 644 | 644 | 644 | 644 | |||||||||||||||||||||||||||||||||||||||||||||
Documents to export (number) | IC.EXP.DOCS | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | |||||||||||||||||||||||||||||||||||||||||||||
Time to export (days) | IC.EXP.DURS | 22 | 22 | 18 | 18 | 18 | 17 | 17 | 17 | |||||||||||||||||||||||||||||||||||||||||||||
Firms using banks to finance investment (% of firms) | IC.FRM.BNKS.ZS | 34.02 | 11.67 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Informal payments to public officials (% of firms) | IC.FRM.CORR.ZS | 44.18 | 14.89 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Losses due to theft, robbery, vandalism, and arson (% sales) | IC.FRM.CRIM.ZS | 0.22 | 0.37 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Time required to obtain an operating license (days) | IC.FRM.DURS | 21.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Firms with female participation in ownership (% of firms) | IC.FRM.FEMO.ZS | 42.84 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Firms formally registered when operations started (% of firms) | IC.FRM.FREG.ZS | 29.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Firms that do not report all sales for tax purposes (% of firms) | IC.FRM.INFM.ZS | 44.04 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
ISO certification ownership (% of firms) | IC.FRM.ISOC.ZS | 22.13 | 2.88 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Value lost due to electrical outages (% of sales) | IC.FRM.OUTG.ZS | 3.3 | 2.17 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Firms offering formal training (% of firms) | IC.FRM.TRNG.ZS | 23.83 | 4.73 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Management time dealing with officials (% of management time) | IC.GOV.DURS.ZS | 3.98 | 1.63 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Cost to import (US$ per container) | IC.IMP.COST.CD | 675 | 675 | 623 | 660 | 660 | 660 | 660 | 660 | |||||||||||||||||||||||||||||||||||||||||||||
Documents to import (number) | IC.IMP.DOCS | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | |||||||||||||||||||||||||||||||||||||||||||||
Time to import (days) | IC.IMP.DURS | 27 | 27 | 27 | 27 | 27 | 27 | 27 | 23 | |||||||||||||||||||||||||||||||||||||||||||||
Time to resolve insolvency (years) | IC.ISV.DURS | 6 | 6 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | |||||||||||||||||||||||||||||||||||||||||||
Strength of legal rights index (0=weak to 10=strong) | IC.LGL.CRED.XQ | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | ||||||||||||||||||||||||||||||||||||||||||||
Time required to enforce a contract (days) | IC.LGL.DURS | 498 | 498 | 498 | 498 | 498 | 498 | 498 | 498 | 498 | 498 | |||||||||||||||||||||||||||||||||||||||||||
Procedures to enforce a contract (number) | IC.LGL.PROC | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | |||||||||||||||||||||||||||||||||||||||||||
Time required to register property (days) | IC.PRP.DURS | 39 | 39 | 39 | 39 | 39 | 22 | 22 | 22 | 22 | ||||||||||||||||||||||||||||||||||||||||||||
Procedures to register property (number) | IC.PRP.PROC | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | ||||||||||||||||||||||||||||||||||||||||||||
Cost of business start-up procedures (% of GNI per capita) | IC.REG.COST.PC.ZS | 136.7 | 130.7 | 101.7 | 86.7 | 80 | 76.7 | 25 | 25.8 | 23.5 | 22.7 | |||||||||||||||||||||||||||||||||||||||||||
Time required to start a business (days) | IC.REG.DURS | 168 | 151 | 151 | 97 | 105 | 76 | 62 | 49 | 47 | 47 | |||||||||||||||||||||||||||||||||||||||||||
Start-up procedures to register a business (number) | IC.REG.PROC | 12 | 12 | 12 | 12 | 12 | 11 | 10 | 10 | 9 | 9 | |||||||||||||||||||||||||||||||||||||||||||
Time to prepare and pay taxes (hours) | IC.TAX.DURS | 560 | 576 | 266 | 266 | 266 | 266 | 266 | 259 | |||||||||||||||||||||||||||||||||||||||||||||
Firms expected to give gifts in meetings with tax officials (% of firms) | IC.TAX.GIFT.ZS | 11.22 | 14.01 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Labor tax and contributions (% of commercial profits) | IC.TAX.LABR.CP.ZS | 10.6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Average number of times firms spent in meetings with tax officials | IC.TAX.METG | 0.95 | 0.15 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Other taxes payable by businesses (% of commercial profits) | IC.TAX.OTHR.CP.ZS | 0.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Tax payments (number) | IC.TAX.PAYM | 51 | 51 | 51 | 51 | 51 | 51 | 51 | 51 | |||||||||||||||||||||||||||||||||||||||||||||
Profit tax (% of commercial profits) | IC.TAX.PRFT.CP.ZS | 23.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Total tax rate (% of commercial profits) | IC.TAX.TOTL.CP.ZS | 37.3 | 37.3 | 37.3 | 37.3 | 37.6 | 37.3 | 34.5 | 34.5 | |||||||||||||||||||||||||||||||||||||||||||||
Time required to build a warehouse (days) | IC.WRH.DURS | 186 | 186 | 158 | 158 | 158 | 158 | 158 | 158 | |||||||||||||||||||||||||||||||||||||||||||||
Procedures to build a warehouse (number) | IC.WRH.PROC | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | |||||||||||||||||||||||||||||||||||||||||||||
Investment in energy with private participation (current US$) | IE.PPI.ENGY.CD | 137000000 | 595500000 | 2470000000 | 3203600000 | 2725000000 | 330000000 | 125000000 | 187600000 | 829000000 | 158000000 | 105900000 | 611100000 | 305000000 | 2863200000 | 0 | 2300000000 | 35000000 | ||||||||||||||||||||||||||||||||||||
Investment in telecoms with private participation (current US$) | IE.PPI.TELE.CD | 250000000 | 1249000000 | 1804000000 | 3694000000 | 1510600000 | 579300000 | 1259600000 | 642300000 | 1421300000 | 1321500000 | 939500000 | 895000000 | 1337600000 | 1676100000 | 3516600000 | 2876000000 | 1832900000 | 1107900000 | 813000000 | ||||||||||||||||||||||||||||||||||
Investment in transport with private participation (current US$) | IE.PPI.TRAN.CD | 116000000 | 10800000 | 114500000 | 351500000 | 26700000 | 502800000 | 1028000000 | 0 | 159200000 | 372000000 | 1139500000 | 220000000 | |||||||||||||||||||||||||||||||||||||||||
Investment in water and sanitation with private participation (current US$) | IE.PPI.WATR.CD | 200000000 | 123200000 | 632000000 | 0 | 0 | 36700000 | 0 | 0 | 8100000 | 0 | 20200000 | 0 | 0 | ||||||||||||||||||||||||||||||||||||||||
Scientific and technical journal articles | IP.JRN.ARTC.SC | 72 | 66 | 59 | 86 | 104 | 89 | 86 | 103 | 120 | 129.5 | 141 | 146.1 | 136 | 162.7 | 181.6 | 188.7 | 178.3 | 156.6 | 181.6 | 205.2 | 215.1 | 197.5 | 218.9 | 262 | |||||||||||||||||||||||||||||
Patent applications, nonresidents | IP.PAT.NRES | 155 | 115 | 132 | 178 | 266 | 276 | 325 | 486 | 518 | 494 | 464 | 397 | 463 | 465 | 475 | 636 | 682 | 559 | 731 | 591 | 601 | 661 | 1280 | 3905 | 2031 | 2305 | 2813 | 3957 | 3939 | 1753 | 2784 | 3733 | 3714 | 3609 | 3099 | 3441 | 4069 | 4324 | |||||||||||||||
Patent applications, residents | IP.PAT.RESD | 3 | 10 | 8 | 7 | 4 | 4 | 8 | 5 | 1 | 3 | 3 | 2 | 9 | 12 | 5 | 16 | 40 | 26 | 49 | 32 | 62 | 113 | 34 | 67 | 38 | 29 | 61 | 40 | 79 | 93 | 152 | 157 | 212 | 234 | 201 | 227 | 235 | 288 | |||||||||||||||
Trademark applications, aggregate direct | IP.TMK.AGGD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Trademark applications, Madrid | IP.TMK.MDRD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Trademark applications, direct nonresident | IP.TMK.NRES | 540 | 656 | 451 | 485 | 261 | 1088 | 1238 | 1311 | 1410 | 1668 | 2311 | 1438 | 1507 | 1534 | 1840 | 1790 | 1343 | 1670 | 2300 | 2479 | 2383 | 2252 | 2581 | 4339 | 4682 | 3114 | 2427 | 2417 | 5251 | 9714 | 11938 | 12520 | 9581 | 8023 | 13685 | 10082 | 16005 | 11078 | 14051 | 5018 | 4525 | ||||||||||||
Trademark applications, direct resident | IP.TMK.RESD | 2234 | 3683 | 2056 | 3138 | 2187 | 1813 | 4496 | 2878 | 3486 | 4276 | 3608 | 3349 | 4002 | 4354 | 4302 | 5076 | 6714 | 5425 | 10129 | 10513 | 10510 | 9802 | 11807 | 14912 | 15109 | 15728 | 16711 | 13363 | 22237 | 15696 | 16251 | 26128 | 20423 | 28317 | 35626 | 30734 | 36644 | 32181 | 33555 | 37759 | 43269 | ||||||||||||
Trademark applications, total | IP.TMK.TOTL | 2774 | 4339 | 2507 | 3623 | 2448 | 2901 | 5734 | 4189 | 4896 | 5944 | 5919 | 4787 | 5509 | 5888 | 6142 | 6866 | 8057 | 7095 | 12429 | 12992 | 12893 | 12054 | 14388 | 19251 | 19791 | 18842 | 19138 | 15780 | 27488 | 25410 | 28189 | 38648 | 30004 | 36340 | 49311 | 40816 | 52649 | 43259 | 47606 | 42777 | 47794 | ||||||||||||
CPIA business regulatory environment rating (1=low to 6=high) | IQ.CPA.BREG.XQ | 3 | 3 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA debt policy rating (1=low to 6=high) | IQ.CPA.DEBT.XQ | 4.5 | 4.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA economic management cluster average (1=low to 6=high) | IQ.CPA.ECON.XQ | 4.3333333333 | 4.3333333333 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) | IQ.CPA.ENVR.XQ | 2.5 | 3 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA quality of budgetary and financial management rating (1=low to 6=high) | IQ.CPA.FINQ.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA financial sector rating (1=low to 6=high) | IQ.CPA.FINS.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA fiscal policy rating (1=low to 6=high) | IQ.CPA.FISP.XQ | 4 | 4 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA gender equality rating (1=low to 6=high) | IQ.CPA.GNDR.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA building human resources rating (1=low to 6=high) | IQ.CPA.HRES.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
IDA resource allocation index (1=low to 6=high) | IQ.CPA.IRAI.XQ | 3.65 | 3.675 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA macroeconomic management rating (1=low to 6=high) | IQ.CPA.MACR.XQ | 4.5 | 4.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA quality of public administration rating (1=low to 6=high) | IQ.CPA.PADM.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA equity of public resource use rating (1=low to 6=high) | IQ.CPA.PRES.XQ | 4 | 4 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA property rights and rule-based governance rating (1=low to 6=high) | IQ.CPA.PROP.XQ | 2.5 | 2.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA social protection rating (1=low to 6=high) | IQ.CPA.PROT.XQ | |||||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA public sector management and institutions cluster average (1=low to 6=high) | IQ.CPA.PUBS.XQ | 3.2 | 3.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA efficiency of revenue mobilization rating (1=low to 6=high) | IQ.CPA.REVN.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA policies for social inclusion/equity cluster average (1=low to 6=high) | IQ.CPA.SOCI.XQ | |||||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA structural policies cluster average (1=low to 6=high) | IQ.CPA.STRC.XQ | 3.6666666667 | 3.6666666667 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA trade rating (1=low to 6=high) | IQ.CPA.TRAD.XQ | 4.5 | 4.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) | IQ.CPA.TRAN.XQ | 3 | 3 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) | IQ.WEF.CUST.XQ | 3.0135135135 | 3.2612984833 | 3.6973797069 | 3.8633159284 | 3.9 | ||||||||||||||||||||||||||||||||||||||||||||||||
Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards) | IQ.WEF.PORT.XQ | 2.6631936822 | 3.0448873437 | 3.3962824572 | 3.6232083659 | 3.6 | ||||||||||||||||||||||||||||||||||||||||||||||||
Air transport, registered carrier departures worldwide | IS.AIR.DPRT | 23500 | 24000 | 34200 | 42500 | 64800 | 74100 | 91600 | 105500 | 115300 | 120400 | 124800 | 142600 | 145300 | 143400 | 183000 | 185800 | 181500 | 190600 | 206100 | 193200 | 205400 | 215700 | 236900 | 227200 | 230500 | 262200 | 311200 | 194700 | 196700 | 135000 | 159027 | 164651 | 152278 | 155609 | 318488 | 320724 | 357414 | 357789 | 345240 | 330112 | 404547 | ||||||||||||
Air transport, freight (million ton-km) | IS.AIR.GOOD.MT.K1 | 14.1999998093 | 17.6000003815 | 19.8999996185 | 27.7000007629 | 41.2999992371 | 42.9000015259 | 43.5999984741 | 52.0999984741 | 58.9000015259 | 79.8000030518 | 121.9000015259 | 156 | 177.8999938965 | 189 | 169.8000030518 | 153.1000061035 | 222 | 340.200012207 | 455 | 438.200012207 | 458.6000061035 | 475.5 | 504.1000061035 | 615.5 | 733.700012207 | 782.5999755859 | 749.4000244141 | 710 | 429.3999938965 | 362 | 408.542 | 408.372 | 405.498 | 424.362 | 434.101 | 439.773 | 469.222 | 484.52 | 394.583 | 276.918 | 659.687 | ||||||||||||
Air transport, passengers carried | IS.AIR.PSGR | 826400 | 994500 | 1286800 | 1787400 | 2219700 | 2527500 | 3103200 | 3781300 | 4431100 | 4656100 | 5059100 | 6098100 | 6028700 | 5567500 | 6494300 | 6468100 | 7115400 | 7568900 | 8823700 | 8983400 | 9223100 | 10401800 | 11176800 | 12009000 | 13924500 | 15977200 | 17138800 | 12650200 | 12613600 | 8046800 | 9916365 | 12453812 | 12113452 | 12221066 | 26780550 | 26835524 | 29867483 | 30405918 | 29766093 | 27421235 | 35321225 | ||||||||||||
Road sector diesel fuel consumption (kt of oil equivalent) | IS.ROD.DESL.KT | 1161 | 1281 | 1325 | 1591 | 1668 | 1629 | 1749 | 1812 | 1946 | 2332 | 2651 | 3041 | 2998 | 3049 | 3165 | 3327 | 3605 | 3964 | 3852 | 4470 | 4860 | 5088 | 5464 | 6136 | 6670 | 7467 | 8288 | 7845 | 7948 | 8762 | 9279 | 9168 | 8765 | 7797 | 7240 | 6497 | 6730 | 8293 | 10755 | 12854 | |||||||||||||
Road sector diesel fuel consumption per capita (kg of oil equivalent) | IS.ROD.DESL.PC | 9.5629735108 | 10.2885166725 | 10.3789456453 | 12.1577117936 | 12.4379291039 | 11.8574421008 | 12.4317593082 | 12.5809988591 | 13.2018412756 | 15.4621357888 | 17.1835529299 | 19.2763062312 | 18.5927457134 | 18.5116692032 | 18.8259272621 | 19.4025456408 | 20.6274192623 | 22.2688122027 | 21.2585269831 | 24.2478897243 | 25.9266648813 | 26.7069172664 | 28.2339837457 | 31.2282992965 | 33.4502941843 | 36.9183690067 | 40.4167552653 | 37.7455105492 | 37.7378600989 | 41.0599270103 | 42.9178993074 | 41.8579744954 | 39.5105942373 | 34.7140395486 | 31.8517328234 | 28.2578334144 | 28.9509999637 | 35.2966983086 | 45.3005196671 | 53.5871504934 | |||||||||||||
Road density (km of road per 100 sq. km of land area) | IS.ROD.DNST.K2 | 19 | 20 | 21 | 21 | 20.8111017185 | 23 | 25 | ||||||||||||||||||||||||||||||||||||||||||||||
Road sector energy consumption (kt of oil equivalent) | IS.ROD.ENGY.KT | 2523 | 2707 | 2895 | 3318 | 3606 | 3738 | 4069 | 4435 | 4771 | 5407 | 6020 | 6412 | 6192 | 6318 | 6506 | 6967 | 7557 | 8201 | 8461 | 9639 | 10360 | 10946 | 11536 | 12935 | 14158 | 15648 | 17449 | 17216 | 17324 | 18880 | 19912 | 20329 | 20634 | 21473 | 21349 | 20759 | 21928 | 23744.719 | 28334.068 | 31576.223 | |||||||||||||
Road sector energy consumption per capita (kg of oil equivalent) | IS.ROD.ENGY.PC | 20.7815522548 | 21.7416195414 | 22.6770170891 | 25.3546748782 | 26.8891920555 | 27.208789793 | 28.9221432961 | 30.7928973179 | 32.3668986258 | 35.8506724743 | 39.0211198181 | 40.644418137 | 38.4010278377 | 38.3590442852 | 38.6987307322 | 40.630458515 | 43.240334914 | 46.0712736817 | 46.6948070623 | 52.2875635465 | 55.2675407758 | 57.4555653297 | 59.6096699286 | 65.8308427967 | 71.002888315 | 77.3668994531 | 85.090729081 | 82.8332325832 | 82.2560000444 | 88.4742549595 | 92.0984169641 | 92.8153101568 | 93.0133030796 | 95.602740955 | 93.9230171334 | 90.2884968214 | 94.3294988415 | 101.0623637967 | 119.3443054098 | 131.6383860209 | |||||||||||||
Road sector energy consumption (% of total energy consumption) | IS.ROD.ENGY.ZS | 7.1976318507 | 7.4186627355 | 7.586691711 | 8.3869617778 | 8.7660554219 | 8.6928619325 | 8.5165869898 | 8.6733187925 | 8.915028011 | 9.7053021877 | 10.2675983438 | 10.6714886084 | 10.1198769042 | 9.9366628179 | 9.8824474821 | 9.5935773953 | 10.0765034221 | 10.6449359232 | 10.3931073394 | 9.7736194892 | 10.0141115845 | 10.1501990212 | 9.7388711975 | 10.9057902529 | 10.8227230248 | 11.5428102643 | 12.4523221786 | 12.5600583418 | 12.058054619 | 12.170561027 | 12.4930484988 | 12.3049205682 | 12.4930553773 | 12.125032399 | 11.8269596967 | 11.1975428775 | 11.8734386094 | 12.7032353798 | 14.2730760325 | 15.1919328096 | |||||||||||||
Roads, goods transported (million ton-km) | IS.ROD.GOOD.MT.K6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Roads, paved (% of total roads) | IS.ROD.PAVE.ZS | 45.0999984741 | 45.2999992371 | 53.5999984741 | 53.7999992371 | 53.7999992371 | 52.4000015259 | 46.2999992371 | 56.4000015259 | 47.2999992371 | 46.2999992371 | 57.0999984741 | 58.9000015259 | 58 | 58.3264960218 | 55.322 | 55.4242996964 | 53.0053784466 | 60.8604267736 | 59.1064946694 | 56.94078 | |||||||||||||||||||||||||||||||||
Roads, passengers carried (million passenger-km) | IS.ROD.PSGR.K6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Road sector gasoline fuel consumption (kt of oil equivalent) | IS.ROD.SGAS.KT | 1236 | 1292 | 1425 | 1563 | 1758 | 1919 | 2112 | 2393 | 2578 | 2799 | 3064 | 3053 | 2889 | 2958 | 3021 | 3295 | 3578 | 3833 | 4184 | 4687 | 4982 | 5309 | 5495 | 6150 | 6776 | 7396 | 8283 | 8489 | 8490 | 9159 | 9627 | 10125 | 10800 | 12520 | 12942 | 13112 | 13965 | 15344 | 17605 | 18893 | |||||||||||||
Road sector gasoline fuel consumption per capita (kg of oil equivalent) | IS.ROD.SGAS.PC | 10.1807366575 | 10.3768645908 | 11.1622622978 | 11.9437482925 | 13.1090403865 | 13.9683433956 | 15.0119357684 | 16.6149725551 | 17.4893868492 | 18.5585411976 | 19.860583243 | 19.3523718921 | 17.9167586278 | 17.9591726805 | 17.9693921829 | 19.2159266265 | 20.4729281887 | 21.5328852606 | 23.0907780107 | 25.4250244156 | 26.5774988557 | 27.8669464951 | 28.3941692318 | 31.2995503054 | 33.9818880649 | 36.5673305442 | 40.3923725702 | 40.8440585153 | 40.3113276597 | 42.9203231554 | 44.5274939792 | 46.2273114928 | 48.6839039091 | 55.7419231946 | 56.9371721271 | 57.0288920624 | 60.0744003704 | 65.3071914684 | 74.1530124351 | 78.7631892229 | |||||||||||||
Roads, total network (km) | IS.ROD.TOTL.KM | 288727 | 313897 | 319758 | 344892 | 356878 | 327227 | 336377 | 341467 | 355363 | 342700 | 355950 | 368360 | 370516 | 372629 | 391009 | 393794 | 421535 | 437759 | 476337 | ||||||||||||||||||||||||||||||||||
Railways, goods transported (million ton-km) | IS.RRS.GOOD.MT.K6 | 1000 | 970 | 950 | 800 | 900 | 1270 | 1355 | 1575 | 1903 | 2976 | 3190 | 3465 | 3778.602 | 3955.725 | 3820 | 4170 | 4730 | 4980 | 4960 | 4698 | 4698 | 4390 | |||||||||||||||||||||||||||||||
Railways, passengers carried (million passenger-km) | IS.RRS.PASG.KM | 5900 | 5900 | 6200 | 6300 | 6100 | 6343 | 7327 | 7521 | 7744 | 8390 | 9290 | 9726 | 10458.023 | 12224.251 | 13424 | 15520 | 15207 | 15162 | 16196 | 25535 | 25535 | 14344 | |||||||||||||||||||||||||||||||
Rail lines (total route-km) | IS.RRS.TOTL.KM | 6458 | 6458 | 6458 | 6458 | 6458 | 6458 | 6458 | 6458 | 4992 | 4992 | 4992 | 5041 | 5041 | 5041 | 5324 | 5324 | 3370 | ||||||||||||||||||||||||||||||||||||
Liner shipping connectivity index (maximum value in 2004 = 100) | IS.SHP.GCNW.XQ | 25.8789660729 | 28.8439259397 | 25.8449727358 | 26.2668186092 | 24.8467705974 | 25.6764919136 | 25.6013456765 | 25.91 | |||||||||||||||||||||||||||||||||||||||||||||
Container port traffic (TEU: 20 foot equivalent units) | IS.SHP.GOOD.TU | 3797948 | 3901761 | 4539880 | 5176982 | 5369297 | 5503176 | 4316296 | 6582910 | 7404831 | 7243557.41 | 8371058.0664 | ||||||||||||||||||||||||||||||||||||||||||
Motor vehicles (per 1,000 people) | IS.VEH.NVEH.P3 | 36 | 39.8657035917 | 46.9048458279 | 180.4818587227 | 59.5927356032 | ||||||||||||||||||||||||||||||||||||||||||||||||
Passenger cars (per 1,000 people) | IS.VEH.PCAR.P3 | 21 | 26.2496918093 | 29.5843471811 | 31.8783367202 | 34.3983498721 | 37.0659368375 | |||||||||||||||||||||||||||||||||||||||||||||||
Vehicles (per km of road) | IS.VEH.ROAD.K1 | 21 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile cellular subscriptions | IT.CEL.SETS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1750 | 2029 | 4531 | 6321 | 9008 | 12928 | 18096 | 24528 | 35546 | 53438 | 78024 | 210643 | 562517 | 916173 | 1065820 | 2220969 | 3669327 | 6520947 | 11700000 | 18495251 | 30336607 | 46909972 | 63803015 | 93386881 | 140578243 | 163676961 | 211290235 | 236799493 | |||||||||||||
Mobile cellular subscriptions (per 100 people) | IT.CEL.SETS.P2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0010624933 | 0.0012068817 | 0.0026424086 | 0.0036168077 | 0.0050604808 | 0.0071347414 | 0.0098163269 | 0.0130849637 | 0.0186580991 | 0.0276128774 | 0.0397092051 | 0.1056382357 | 0.2781198631 | 0.4467753369 | 0.5128096884 | 1.0545372094 | 1.7194966765 | 3.0161153867 | 5.3418226614 | 8.3372316894 | 13.5065560493 | 20.6376228577 | 27.7502688811 | 40.1730102294 | 59.8329655363 | 68.9414355261 | 88.0849667086 | 97.7195376248 | |||||||||||||
Telephone lines | IT.MLT.MAIN | 82862 | 121000 | 143000 | 207500 | 219400 | 241000 | 275100 | 317100 | 375800 | 427185 | 475459 | 503253 | 536102 | 602356 | 677279 | 759127 | 828812 | 863814 | 1066222 | 1295002 | 1652378 | 1863947 | 2462831 | 3290854 | 4186030 | 4982466 | 5571644 | 6080193 | 6662605 | 7218938 | 7750035 | 8058139 | 10376381 | 13507830 | 14820733 | 19529507 | 30378071 | 33957892 | 37959600 | ||||||||||||||
Telephone lines (per 100 people) | IT.MLT.MAIN.P2 | 0.0901196882 | 0.1161822743 | 0.1208160678 | 0.1547284346 | 0.1597006014 | 0.1713009716 | 0.1910062244 | 0.2151235287 | 0.2491711248 | 0.2768976257 | 0.3013841922 | 0.3121032374 | 0.3254884514 | 0.3582910029 | 0.3949785605 | 0.4343642414 | 0.4656069319 | 0.4767241232 | 0.5783810621 | 0.6908453266 | 0.8673333832 | 0.9631524396 | 1.2534228094 | 1.6503753286 | 2.0696585002 | 2.4297189785 | 2.6807463018 | 2.8869334777 | 3.1221875713 | 3.3389552127 | 3.5384027854 | 3.6324228219 | 4.6198037759 | 5.9426490633 | 6.4460797936 | 8.4011702295 | 12.9295261942 | 14.6610340704 | 17.0628828619 | 15.9361924387 | |||||||||||||
Fixed broadband Internet subscribers | IT.NET.BBND | 0 | 4000 | 15000 | 38300 | 61600 | 84900 | 108200 | 194367 | 778770 | 981562 | 1863821 | 2280316 | 2736379 | ||||||||||||||||||||||||||||||||||||||||
Fixed broadband Internet subscribers (per 100 people) | IT.NET.BBND.P2 | 0 | 0.0018744546 | 0.0069379081 | 0.0174864793 | 0.0277678563 | 0.0377994351 | 0.0476016228 | 0.0845373296 | 0.335009959 | 0.4177727937 | 0.7850493711 | 0.9506428868 | 1.1292156383 | ||||||||||||||||||||||||||||||||||||||||
Secure Internet servers | IT.NET.SECR | 60 | 60 | 85 | 103 | 131 | 169 | 234 | 320 | 480 | 820 | |||||||||||||||||||||||||||||||||||||||||||
Secure Internet servers (per 1 million people) | IT.NET.SECR.P6 | 0.2775163227 | 0.2704661328 | 0.3784395744 | 0.4531392929 | 0.5697669967 | 0.7270013364 | 0.9959516947 | 1.3478536768 | 2.0010761037 | 3.3838763689 | |||||||||||||||||||||||||||||||||||||||||||
Internet users (per 100 people) | IT.NET.USER.P2 | 0 | 0.0010597444 | 0.0261094772 | 0.0566239887 | 0.1949102636 | 0.2553066463 | 0.444415936 | 0.9255638645 | 2.0186138595 | 2.134135733 | 2.3870197796 | 2.6002858763 | 3.6020247626 | 4.7648131337 | 5.7862747293 | 7.9174793849 | 6.92 | 10.92 | 18 | ||||||||||||||||||||||||||||||||||
Daily newspapers (per 1,000 people) | IT.PRT.NEWS.P3 | 24.5 | 22.89 | 22.91 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Lead time to export, median case (days) | LP.EXP.DURS.MD | 2.5 | 2.12 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Lead time to import, median case (days) | LP.IMP.DURS.MD | 3.9 | 5.35 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) | LP.LPI.CUST.XQ | 2.73 | 2.43 | 2.53 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) | LP.LPI.INFR.XQ | 2.83 | 2.54 | 2.54 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) | LP.LPI.ITRN.XQ | 3.05 | 2.82 | 2.97 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Competence and quality of logistics services (1=low to 5=high) | LP.LPI.LOGS.XQ | 2.9 | 2.47 | 2.85 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Overall (1=low to 5=high) | LP.LPI.OVRL.XQ | 3.01 | 2.76 | 2.94 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) | LP.LPI.TIME.XQ | 3.28 | 3.46 | 3.61 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Ability to track and trace consignments (1=low to 5=high) | LP.LPI.TRAC.XQ | 3.3 | 2.77 | 3.12 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Arms imports (constant 1990 US$) | MS.MIL.MPRT.KD | 429000000 | 899000000 | 1069000000 | 173000000 | 530000000 | 353000000 | 16000000 | 1000000 | 5000000 | 9000000 | 28000000 | 90000000 | 5000000 | 70000000 | 65000000 | 4000000 | 156000000 | 60000000 | 173000000 | 380000000 | 897000000 | 784000000 | 342000000 | 236000000 | 95000000 | 282000000 | 419000000 | 245000000 | 283000000 | 287000000 | 155000000 | 11000000 | 51000000 | 212000000 | 466000000 | 281000000 | 378000000 | 108000000 | 89000000 | 165000000 | 147000000 | 28000000 | 68000000 | 358000000 | 77000000 | 36000000 | 63000000 | 576000000 | 238000000 | 461000000 | 228000000 | 201000000 | |
Armed forces personnel, total | MS.MIL.TOTL.P1 | 278100 | 285000 | 283000 | 278000 | 283000 | 271000 | 280000 | 460500 | 485200 | 484000 | 499000 | 499000 | 492000 | 492000 | 492000 | 497000 | 582000 | 582000 | 582000 | 582000 | 582000 | 582000 | 582000 | ||||||||||||||||||||||||||||||
Armed forces personnel (% of total labor force) | MS.MIL.TOTL.TF.ZS | 0.3682906119 | 0.3543832612 | 0.3535928006 | 0.3264919276 | 0.3269061174 | 0.5196407927 | 0.5301501731 | 0.5285561809 | 0.5385461156 | 0.5098511128 | 0.493841238 | 0.4856044803 | 0.477922544 | 0.4733900612 | 0.5431197613 | 0.5324159653 | 0.5237467175 | 0.5162426879 | 0.5090743641 | 0.4999688177 | 0.4933800419 | ||||||||||||||||||||||||||||||||
Military expenditure (current LCU) | MS.MIL.XPND.CN | 1410000000000 | 1537000000000 | 1833000000000 | 2039000000000 | 2361000000000 | 2486000000000 | 2981000000000 | 3434000000000 | 4030000000000 | 4634000000000 | 6144000000000 | 6389000000000 | 7864000000000 | 14308000000000 | 19876000000000 | 21712000000000 | 20829000000000 | 23923000000000 | 30611000000000 | 31349000000000 | 34333000000000 | 42392000000000 | 49984000000000 | ||||||||||||||||||||||||||||||
Military expenditure (% of GDP) | MS.MIL.XPND.GD.ZS | 0.9420770143 | 0.8558774091 | 0.8692711858 | 0.8157024308 | 0.8360632427 | 0.7538447786 | 0.7799179182 | 0.755532102 | 0.756710891 | 0.7382561934 | 0.6428435768 | 0.5809599304 | 0.4776708323 | 0.7853627011 | 0.9870512542 | 0.9457161566 | 0.7507890802 | 0.7164254804 | 0.7747868254 | 0.6334809849 | 0.6124108876 | 0.6586422693 | 0.6729961042 | ||||||||||||||||||||||||||||||
Military expenditure (% of central government expenditure) | MS.MIL.XPND.ZS | 7.9773082942 | 7.7580258272 | 7.0389435356 | 7.9470022127 | 7.9520192664 | 7.6253547777 | 5.888654365 | 4.877549222 | 3.5904251583 | 5.1021918243 | 6.4546200591 | 5.9712647734 | 4.5404494451 | 4.0241095961 | 4.5161044831 | 3.4344142049 | 3.8885261547 | 4.5676740917 | |||||||||||||||||||||||||||||||||||
Arms exports (constant 1990 US$) | MS.MIL.XPRT.KD | 7000000 | 6000000 | 6000000 | 9000000 | 4000000 | 8000000 | 4000000 | 16000000 | 16000000 | 25000000 | 8000000 | 49000000 | 16000000 | 49000000 | 25000000 | 8000000 | 8000000 | 4000000 | |||||||||||||||||||||||||||||||||||
General government final consumption expenditure (current US$) | NE.CON.GOVT.CD | 401723469.748227 | 507509470.700923 | 585423338.01227 | 771794489.512329 | 833346049.255378 | 959134914.93012 | 1658792750.26506 | 1948385595.83614 | 2905204879.11325 | 3685951828.51084 | 4811879574.51566 | 5783282854.99992 | 5260167657.14089 | 8210657594.39577 | 10212738542.5007 | 10929061948.9341 | 8883377531.86577 | 8890773939.66878 | 9808388487.50803 | 8833114346.15979 | 7156066771.51604 | 7567064443.13314 | 8868399677.75963 | 10119870775.8862 | 10657021111.7348 | 12183386469.2467 | 14257437617.2067 | 14353349895.8491 | 15825045257.7254 | 17204969110.5433 | 14763283767.9479 | 5434199885.59383 | 9246329306.65485 | 10779164224.8088 | 11053285480.0226 | 14199987330.4344 | 19085795169.3866 | 21373634007.6269 | 23182542684.1098 | 31452114680.024 | 36074838967.2902 | 42981882961.1513 | 51741283202.7904 | 64014697920.5245 | 76101158008.1562 | ||||||||
General government final consumption expenditure (current LCU) | NE.CON.GOVT.CN | 43000004 | 54000004 | 80000008 | 219000016 | 489000032 | 1279000064 | 26727999488 | 60090998784 | 150370992128 | 190848008192 | 281704988672 | 327855013888 | 398040989696 | 688398991360 | 808580022272 | 1205660024832 | 1529670008832 | 1996930023424 | 2556500115456 | 3277400047616 | 5148000124928 | 6451999801344 | 7228699967488 | 8077299941376 | 9121400094720 | 10892999655424 | 11328999653376 | 11763500187648 | 12755800162304 | 15697600053248 | 18648999657472 | 20784600842240 | 24731300397056 | 29756699443200 | 31014000787456 | 35584198311936 | 40299199987712 | 42952000798720 | 54415901851648 | 72631302750208 | 90779700000000 | 113416100000000 | 132218800000000 | 163701400000000 | 191055700000000 | 224980600000000 | 288079870000000 | 329760103000000 | 416866669000000 | 537588828000000 | 581921343800000 | 667440132900000 | |
General government final consumption expenditure (constant 2000 US$) | NE.CON.GOVT.KD | 1626629159.28744 | 1510188424.7749 | 1219069966.71376 | 1226346197.50807 | 1441040451.25565 | 1044384959.4639 | 1459225176.37887 | 1291833893.25711 | 1462867276.02287 | 1499257768.07293 | 1746706639.61228 | 1888629994.38455 | 2041468317.88684 | 2605504945.42167 | 2332584036.77828 | 3042182383.49796 | 3264163451.19552 | 3799074736.28807 | 4468655556.74705 | 5004844539.99859 | 5990181653.94033 | 6579877080.14991 | 7171821115.67067 | 7038504232.10692 | 7279021261.18833 | 7821018280.27307 | 8052842180.77715 | 8038903791.23299 | 8648008973.96184 | 9538997130.57322 | 10000172706.4162 | 10526507651.167 | 11129355076.2004 | 11149700632.6966 | 11406704475.2081 | 11559729435.7734 | 11870877200.7377 | 11878145463.0383 | 10052292631.4734 | 10122135482.5434 | 10779164224.8088 | 11594467374.2663 | 13100990572.9405 | 14415499626.7349 | 14990734630.674 | 15985412784.7987 | 17521683392.8231 | 18203955566.2648 | 20102314434.6095 | 23253341120.6858 | 23320213481.1891 | 24058045848.0933 | |
General government final consumption expenditure (annual % growth) | NE.CON.GOVT.KD.ZG | -7.158406933 | -19.2769626151 | 0.5968673655 | 17.5068226398 | -27.5256320144 | 39.7210064312 | -11.4712441802 | 13.2395800775 | 2.4876140609 | 16.5047583417 | 8.1251969594 | 8.0925498354 | 27.6289679635 | -10.4747799125 | 30.4211267646 | 7.2967705323 | 16.3873927605 | 17.6248393869 | 11.9988881766 | 19.687666741 | 9.8443663361 | 8.9962780202 | -1.8588986174 | 3.4171611063 | 7.4460150566 | 2.9641140347 | -0.1730865852 | 7.5769681856 | 10.3028125814 | 4.8346337621 | 5.2632585477 | 5.7269461536 | 0.1828098426 | 2.3050290853 | 1.3415352427 | 2.691652661 | 0.0612276766 | -15.3715311641 | 0.6947952435 | 6.4910091689 | 7.5636954077 | 12.9934661942 | 10.0336615501 | 3.9903924167 | 6.6352862527 | 9.6104531594 | 3.8938734261 | 10.4282767634 | 15.6749447748 | 0.2875817293 | 3.163917721 | ||
General government final consumption expenditure (constant LCU) | NE.CON.GOVT.KN | 13699105423360 | 12718467710976 | 10266733445120 | 10328012226560 | 12136119009280 | 8795575549952 | 12289266679808 | 10879534891008 | 12319939624960 | 12626412175360 | 14710370992128 | 15905617608704 | 17192787640320 | 21942977429504 | 19644498837504 | 25620576731136 | 27490051424256 | 31994954121216 | 37634013396992 | 42149676580864 | 50447964438528 | 55414246866944 | 60399466577920 | 59276701728768 | 61302282125312 | 65866859282432 | 67819228102656 | 67701842116608 | 72831589154816 | 80335291285504 | 84219208400896 | 88651883085824 | 93728928694272 | 93900274401280 | 96064703037440 | 97353444884480 | 99973861474304 | 100035073146880 | 84658150703104 | 85246351507456 | 90779700000000 | 97646000000000 | 110333600000000 | 121404100000000 | 126248600000000 | 134625556000000 | 147563682000000 | 153309625000000 | 169297177000000 | 195834416000000 | 196397600000000 | 202611458470000 | |
General government final consumption expenditure (% of GDP) | NE.CON.GOVT.ZS | 10.4368941748 | 10.8870975806 | 5.6777859735 | 6.4678088518 | 6.4957496281 | 5.1119106751 | 8.0179986848 | 6.7168398493 | 6.7963675819 | 6.6533261679 | 7.9922881676 | 8.4611236585 | 8.2647817859 | 9.6603299126 | 7.1558920097 | 9.0369824742 | 9.3721740024 | 9.9426921857 | 10.6509742353 | 9.5426661962 | 10.5247021773 | 11.0439171272 | 11.5388724559 | 10.4058341139 | 10.1478443257 | 11.2302666627 | 11.033027469 | 9.4246052948 | 8.5226568311 | 8.7411979586 | 8.8439923871 | 8.3148844676 | 8.7577006375 | 9.0233035012 | 8.1141814594 | 7.829063526 | 7.5669586926 | 6.8428097994 | 5.6935079723 | 6.6044571283 | 6.5319949727 | 6.8890593699 | 7.2574583384 | 8.1294864251 | 8.3218709605 | 8.1095097089 | 8.627168802 | 8.3464696793 | 8.4237809201 | 9.5891780884 | 9.0412812424 | 8.9865678887 | |
Household final consumption expenditure, etc. (current US$) | NE.CON.PETC.CD | 5425526496.99524 | 6444118308.50875 | 7418971318.18405 | 7502805828.03288 | 7307085093.29064 | 7950836442.37108 | 11525601393.5036 | 17422704225.4651 | 20675407822.6506 | 24980637266.6602 | 29533173676.106 | 33803003917.1187 | 31763123170.7936 | 40128740658.9232 | 52936227450.2796 | 56316729658.8493 | 51043266092.4209 | 52137554948.1869 | 51583141330.8552 | 48372784274.7202 | 44680841120.3022 | 53225538909.5895 | 56627339532.1965 | 67388772034.2125 | 74896278912.0296 | 80452729506.345 | 92453023989.0184 | 105574135911.075 | 124466958598.082 | 141781319329.969 | 133076696497.705 | 64694378080.4675 | 103522316310.273 | 100175290941.521 | 99959432117.8707 | 127262929983.869 | 138358916195.225 | 161677968436.147 | 179132365164.647 | 220785033748.864 | 270961252160.595 | 319947853513.028 | 305507538230.25 | 401490333199.738 | 481264696804.415 | ||||||||
Household final consumption expenditure, etc. (current LCU) | NE.CON.PETC.CN | 318018736 | 393873200 | 1227096256 | 2799782800 | 5877241120 | 21767000064 | 314132254720 | 811566489600 | 1909340651520 | 2418584649728 | 2738524127232 | 2874753515520 | 3299597123584 | 4783124578304 | 7230422253568 | 8580294246400 | 10366964465664 | 12256267075584 | 14942617468928 | 19790331445248 | 25160318713856 | 33442991570944 | 37249010368512 | 46411600625664 | 53490000068608 | 57287202832384 | 62041001033728 | 73448599584768 | 89722288340992 | 100233791930368 | 124184706940928 | 146071706664960 | 163312608215040 | 192958715396096 | 228119314169856 | 279876415258624 | 332094391189504 | 387170663661568 | 647823599075328 | 813183312855038 | 843653800000000 | 1.0256687E+15 | 1.1849695E+15 | 1.1867228E+15 | 1.445215045E+15 | 1.73843342136E+15 | 2.02223998187043E+15 | 2.476856806E+15 | 3.10306544895266E+15 | 3.17420499176E+15 | 3.64972110793E+15 | 4.22089993901E+15 | |
Household final consumption expenditure, etc. (constant 2000 US$) | NE.CON.PETC.KD | 9493193232.82151 | 10181712921.6262 | 11431739490.2368 | 11150008415.7651 | 10880788872.4374 | 11457430909.9325 | 11397068574.2219 | 12476175933.6403 | 13854769167.5179 | 14484309054.266 | 14510307260.9685 | 15082250875.3758 | 14830985344.3777 | 15643537625.5437 | 18566793478.0231 | 20444935565.136 | 20924529318.0656 | 21454681171.2905 | 24600805831.4669 | 26017594047.6906 | 26847385168.8781 | 37480284163.4539 | 38480381915.8817 | 41973319326.6241 | 44496399418.4658 | 47440785724.0692 | 48263664176.9867 | 48928754502.2399 | 44587068923.838 | 48646394912.8289 | 56676560752.7076 | 61171201567.355 | 63388574383.2945 | 70934263775.7393 | 76486598615.1554 | 86341712862.5659 | 94482820055.7465 | 101871836909.643 | 95588058098.0749 | 100016891107.641 | 100175290941.521 | 103893628055.434 | 110463192955.204 | 110392121242.621 | 120267540989.933 | 122927727748.765 | 129802318179.492 | 140710703383.274 | 144652472267.551 | 148576201164.531 | 155537408948.019 | 161296764995.912 | |
Household final consumption expenditure, etc. (annual % growth) | NE.CON.PETC.KD.ZG | 7.2527722961 | 12.2771735781 | -2.464463739 | -2.4145232298 | 5.2996344682 | -0.5268400585 | 9.4682887305 | 11.0498059759 | 4.5438496963 | 0.1794922119 | 3.9416368249 | -1.6659683828 | 5.4787477858 | 18.6866674435 | 10.1155974473 | 2.345782658 | 2.5336381295 | 14.6640476037 | 5.7591130385 | 3.1893461004 | 39.6049705686 | 2.6683302295 | 9.0771900819 | 6.0111521612 | 6.6171338447 | 1.7345379937 | 1.3780352913 | -8.873484769 | 9.1042674187 | 16.5072167306 | 7.9303344362 | 3.6248639215 | 11.9038635367 | 7.8274370436 | 12.8847594557 | 9.4289387172 | 7.8204872055 | -6.1683179593 | 4.6332492758 | 0.1583730829 | 3.7118306111 | 6.3233569014 | -0.0643397232 | 8.9457650022 | 2.2118908701 | 5.59238388 | 8.4038446746 | 2.8013283919 | 2.712521145 | 4.6852778096 | 3.7028751391 | ||
Household final consumption expenditure, etc. (constant LCU) | NE.CON.PETC.KN | 79949541146624 | 85748099317760 | 96275542310912 | 93902866481152 | 91635559956480 | 96491909677056 | 95983551643648 | 105071551447040 | 116681754017792 | 121983597543424 | 122202548600832 | 127019329257472 | 124903227392000 | 131746360197120 | 156365364396032 | 172182655205376 | 176221686071296 | 180686505902080 | 207182461140992 | 219114333274112 | 226102647717888 | 315650534801408 | 324073133441024 | 353489867767808 | 374738681593856 | 399535641722880 | 406465739227136 | 412066980560896 | 375502279802880 | 409689011519488 | 477317264572416 | 515170119974912 | 533844335788032 | 597392437018624 | 644152953929728 | 727150512570368 | 795713088782336 | 857941729083392 | 805021155328000 | 842319792177152 | 843653800000000 | 874968800000000 | 930296200000000 | 929697650000000 | 1.012866217E+15 | 1.03526971238E+15 | 1.09316596889012E+15 | 1.18503393895079E+15 | 1.21823063113593E+15 | 1.2512753946E+15 | 1.309901123E+15 | 1.35840512603E+15 | |
Household final consumption expenditure, etc. (% of GDP) | NE.CON.PETC.ZS | 77.1890135922 | 79.4099193548 | 87.0898651712 | 82.6870258169 | 78.0717470776 | 86.9984006446 | 94.2349615921 | 90.7151195359 | 86.2971024079 | 84.316481433 | 77.6950173371 | 74.1902485918 | 68.5116631546 | 67.1217738831 | 63.9888686413 | 64.3132949016 | 63.5176177138 | 61.0238162823 | 62.2544206854 | 57.6226655737 | 51.4383944682 | 57.2445193378 | 59.4590426611 | 59.7911951487 | 59.5093064705 | 59.0609184358 | 60.4201685542 | 58.845075828 | 59.9470251884 | 55.8151191541 | 58.892628181 | 58.4360206929 | 57.8312870781 | 58.5120354338 | 59.6827710893 | 61.5770577512 | 62.3571818038 | 61.6812991733 | 67.7814517537 | 73.9437972859 | 60.7045669934 | 62.3006131243 | 65.0426927072 | 58.9331972292 | 62.9496692048 | 62.6624816045 | 60.5603080899 | 62.6910594799 | 62.7048057966 | 56.619511734 | 56.7055244571 | 56.8311702929 | |
Household final consumption expenditure (current US$) | NE.CON.PRVT.CD | 5443813875.69584 | 6472398807.89767 | 7446625700.90798 | 7546000336.30685 | 7356336623.30606 | 8018337495.90361 | 11645735198.2265 | 17692481353.4072 | 20932072065.5422 | 25301446567.1711 | 29933011812.5494 | 34216718812.4885 | 31323146003.4676 | 40821066489.9205 | 51115928148.5454 | 57336641933.9274 | 51043377378.063 | 52699964677.5606 | 51505883696.8521 | 49397296636.6978 | 43792928115.1122 | 53225547618.1761 | 54592497560.4651 | 65010496805.1395 | 72195846707.3192 | 77581381847.9103 | 92453018462.5293 | 105574130572.958 | 124466948805.28 | 141781317763.127 | 133076708751.72 | 64694378918.189 | 103522319514.009 | 101736066358.855 | 101322506379.014 | 132310082163.391 | 159969307925.416 | 171486082324.544 | 183992152032.632 | 228472909678.286 | 274642139809.649 | 309316637556.116 | 316748309826.621 | 400797723705.874 | 462162292767.746 | ||||||||
Household final consumption expenditure (current LCU) | NE.CON.PRVT.CN | 324000000 | 399000000 | 1235000064 | 2832999936 | 5976999936 | 21813000192 | 315614003200 | 814301970432 | 1917719937024 | 2427599978496 | 2754290122752 | 2894130053120 | 3327610060800 | 4832980107264 | 7342379761664 | 8686809907200 | 10500100325376 | 12422199902208 | 15125500133376 | 19516199272448 | 25594400079872 | 32292999266304 | 37923600728064 | 46411701813248 | 54066998673408 | 57201402052608 | 63354999668736 | 71989003812864 | 89722303021056 | 96631999430656 | 119801997426688 | 140804999872512 | 157484002050048 | 192958703861760 | 228119302635520 | 279876393238528 | 332094387519488 | 387170699313152 | 647823607463936 | 813183338020864 | 856798300000000 | 1.039655E+15 | 1.2319645E+15 | 1.372078E+15 | 1.5328883E+15 | 1.7855964E+15 | 2.09265567E+15 | 2.5105038E+15 | 2.9999569E+15 | 3.2909959342E+15 | 3.6434249875E+15 | 4.0533635779E+15 | |
Household final consumption expenditure (constant 2000 US$) | NE.CON.PRVT.KD | 9571080278.26448 | 10273056760.7764 | 11414844291.5054 | 11113600368.1274 | 10916018579.0718 | 11472751335.0999 | 11412309314.4524 | 12492858971.2274 | 13873296911.3926 | 14503678470.286 | 14529710543.0867 | 15102419132.8875 | 14850817929.093 | 15664456913.585 | 18591621312.216 | 20472275466.9624 | 20952510683.6335 | 21483371732.7962 | 24633701765.5138 | 26052384491.1107 | 26883285225.0435 | 37530402004.4733 | 38531838463.8398 | 42029445411.8805 | 44555900160.7969 | 47504222902.2798 | 48328201007.3255 | 48994179819.6243 | 45330027369.3617 | 48711445711.0103 | 57091010077.6552 | 61641167387.7921 | 63549796931.7362 | 71029120724.542 | 76588882200.0706 | 86227102017.9231 | 94609168491.5845 | 102008058309.154 | 95715992264.1558 | 100150634305.617 | 101736066358.855 | 105290863134.049 | 109329631496.105 | 113585717456.306 | 119227710717.358 | 123941218043.163 | 127874235544.066 | 134276568484.46 | 141441767887.329 | 148314349429.272 | 155344054385.059 | 162659413337.588 | |
Household final consumption expenditure (annual % growth) | NE.CON.PRVT.KD.ZG | 7.3343495416 | 11.1143893908 | -2.6390541622 | -1.7778378069 | 5.1001448192 | -0.5268310877 | 9.4682822468 | 11.0498160857 | 4.5438482498 | 0.1794860032 | 3.9416379845 | -1.6659662375 | 5.4787486344 | 18.6866637942 | 10.1156005878 | 2.3457832885 | 2.5336393198 | 14.6640391085 | 5.7591130196 | 3.1893461968 | 39.6049689995 | 2.668333953 | 9.0771867824 | 6.0111541424 | 6.6171320315 | 1.7345365416 | 1.3780335258 | -7.4787504633 | 7.4595550408 | 17.2024546682 | 7.9700066682 | 3.0963552847 | 11.7692331902 | 7.827439533 | 12.5843589056 | 9.7209186874 | 7.8204786444 | -6.1682048941 | 4.6331254961 | 1.5830474407 | 3.4941362512 | 3.8358203569 | 3.8928933556 | 4.9671678688 | 3.9533656207 | 3.1732926003 | 5.0067419079 | 5.3361502187 | 4.8589477101 | 4.7397335341 | 4.7091335304 | ||
Household final consumption expenditure (constant LCU) | NE.CON.PRVT.KN | 80605488349184 | 86517376614400 | 96133254742016 | 93596246081536 | 91932256632832 | 96620934856704 | 96111905734656 | 105212052242432 | 116837790515200 | 122146722414592 | 122365958684672 | 127189181792256 | 125070252965888 | 131922537742336 | 156574458839040 | 172412905717760 | 176457338847232 | 180928131366912 | 207459503308800 | 219407330574336 | 226404989927424 | 316072616001536 | 324506488930304 | 353962549051392 | 375239783481344 | 400069895389184 | 407009253916672 | 412617977888768 | 381759308955648 | 410236854730752 | 480807663697920 | 519128066555904 | 535202115878912 | 598191300935680 | 645014363308032 | 726185285779456 | 796777166929920 | 859088955113472 | 806098588139520 | 843446147350528 | 856798300000000 | 886736000000000 | 920749600000000 | 956593400000000 | 1.004109E+15 | 1.0438051E+15 | 1.07692809E+15 | 1.1308471E+15 | 1.1911908E+15 | 1.2490701381E+15 | 1.3082727343E+15 | 1.3698810443E+15 | |
Household final consumption expenditure per capita (constant 2000 US$) | NE.CON.PRVT.PC.KD | 104.0938874209 | 109.0259772008 | 118.1878176911 | 112.2379219274 | 107.5058884051 | 110.1595324263 | 106.8170084464 | 113.972677716 | 123.3609500284 | 125.7045968209 | 122.7568177275 | 124.3962395496 | 119.2762590662 | 122.7022995238 | 142.0688709555 | 152.6575005117 | 152.5126963152 | 152.7021763923 | 171.035636759 | 176.7417496929 | 178.2474299308 | 243.2688228303 | 244.2458131802 | 260.6547001399 | 270.5162626519 | 282.5627314383 | 281.8425385582 | 280.3393865604 | 254.6533467787 | 268.8301098216 | 309.6949701596 | 328.8374258758 | 333.5729498723 | 367.0269106891 | 389.7882229679 | 432.4320733373 | 467.7670006411 | 497.4462750681 | 460.5288713493 | 475.5247390837 | 476.7490822886 | 486.9988858693 | 499.1619684512 | 512.0181624153 | 530.8292247181 | 545.2683097945 | 556.1719017999 | 577.6286670602 | 602.0049932903 | 624.7063787292 | 647.6151564166 | 671.2431036191 | |
Household final consumption expenditure per capita growth (annual %) | NE.CON.PRVT.PC.KD.ZG | 4.7381166196 | 8.4033555355 | -5.0342716195 | -4.2160737129 | 2.468370859 | -3.0342575955 | 6.6989980094 | 8.2373008168 | 1.8998287481 | -2.3450050102 | 1.3355036832 | -4.1158643557 | 2.8723574033 | 15.7833810016 | 7.4531665417 | -0.0948556055 | 0.1242388874 | 12.0060242754 | 3.3362128747 | 0.8519097726 | 36.47816573 | 0.4016093548 | 6.7181855632 | 3.78338181 | 4.4531403281 | -0.2548789348 | -0.5333304211 | -9.1624798416 | 5.5670829472 | 15.2009982681 | 6.1810676829 | 1.4400806063 | 10.0289789174 | 6.2015377118 | 10.9402613667 | 8.1712087245 | 6.3448841809 | -7.4213850961 | 3.2562274957 | 0.2574720313 | 2.1499367196 | 2.4975586053 | 2.5755555865 | 3.6739052799 | 2.7200998747 | 1.9996746207 | 3.8579376611 | 4.2200686393 | 3.7709629807 | 3.6671272245 | 3.6484549456 | ||
Household final consumption expenditure, PPP (current international $) | NE.CON.PRVT.PP.CD | 31850483085.1958 | 39495856363.3217 | 44975459941.5116 | 50819821862.4594 | 55912212887.396 | 58493715983.6268 | 62356886263.9436 | 67266190973.7991 | 80705860398.1894 | 85621944438.8598 | 103774473487.183 | 116192105366.11 | 124520624166.82 | 143200419977.593 | 160072615714.049 | 184498454353.692 | 208707504483.519 | 234405536189.067 | 251473400479.813 | 267716998357.789 | 281142685089.568 | 314599541662.357 | 338495888073.862 | 361729263479.948 | 390559377604.668 | 425869484520.085 | 455492364401.869 | 528187064587.24 | 597025791065.964 | 622646038845.635 | 666423822770.468 | 725920102254.797 | |||||||||||||||||||||
Household final consumption expenditure, PPP (constant 2005 international $) | NE.CON.PRVT.PP.KD | 92372585986.7585 | 128956720030.865 | 132397715976.068 | 144415703950.797 | 153096754521.154 | 163227368903.827 | 166058607263.365 | 168346950543.937 | 155756702200.138 | 167375459130.566 | 196168146613.136 | 211802760979.105 | 218360926961.758 | 244060333652.209 | 263164008692.851 | 296281512057.153 | 325082796930.019 | 350505827640.69 | 328885910026.063 | 344123606976.648 | 349571246929.8 | 361785742592.561 | 375663193755.304 | 390287361264.393 | 409673589669.161 | 425869484520.085 | 439383569359.356 | 461382370662.907 | 486002427044.156 | 509617030844.243 | 533771520150.671 | 558907533781.811 | |||||||||||||||||||||
Final consumption expenditure, etc. (current US$) | NE.CON.TETC.CD | 5827249966.74346 | 6951627779.20967 | 8004394656.19632 | 8274600317.54521 | 8140431142.54602 | 8909971357.3012 | 13184394143.7687 | 19371089821.3012 | 23580612701.7639 | 28666589095.1711 | 34345053250.6217 | 39586286772.1186 | 37023290827.9345 | 48339398253.3189 | 63148965992.7803 | 67245791607.7834 | 59926643624.2866 | 61028328887.8557 | 61391529818.3632 | 57205898620.88 | 51836907891.8182 | 60792603352.7226 | 65495739209.9562 | 77508642810.0987 | 85553300023.7644 | 92636115975.5917 | 106710461606.225 | 119927485806.924 | 140292003855.808 | 158986288440.513 | 147839980265.653 | 70128577966.0613 | 112768645616.928 | 110954455166.33 | 111012717597.893 | 141462917314.304 | 157444711364.611 | 183051602443.774 | 202314907848.756 | 252237148428.888 | 307036091127.885 | 362929736474.179 | 357248821433.04 | 465505031120.262 | 557365854812.571 | ||||||||
Final consumption expenditure, etc. (current LCU) | NE.CON.TETC.CN | 361018740 | 447873204 | 1307096264 | 3018782816 | 6366241152 | 23046000128 | 340860254208 | 871657488384 | 2059711643648 | 2609432657920 | 3020229115904 | 3202608529408 | 3697638113280 | 5471523569664 | 8039002275840 | 9785954271232 | 11896634474496 | 14253197099008 | 17499117584384 | 23067731492864 | 30308318838784 | 39894991372288 | 44477710336000 | 54488900567040 | 62611400163328 | 68180202487808 | 73370000687104 | 85212099772416 | 102478088503296 | 115931391983616 | 142833706598400 | 166856307507200 | 188043908612096 | 222715414839296 | 259133314957312 | 315460613570560 | 372393591177216 | 430122664460288 | 702239500926976 | 885814615605246 | 934433500000000 | 1.1390848E+15 | 1.3171883E+15 | 1.3504242E+15 | 1.636270745E+15 | 1.96341402136E+15 | 2.31031985187043E+15 | 2.806616909E+15 | 3.51993211795266E+15 | 3.71179381976E+15 | 4.23164245173E+15 | 4.88834007191E+15 | |
Final consumption expenditure, etc. (constant 2000 US$) | NE.CON.TETC.KD | 11109218692.6634 | 11684539952.3305 | 12650701882.2858 | 12375610555.1755 | 12316921603.1383 | 12504744975.6174 | 12852012926.385 | 13768553054.0527 | 15317756717.9923 | 15984206667.4801 | 16253466053.2762 | 16965943018.3388 | 16864442337.9279 | 18232851836.8786 | 20893167319.0526 | 23472172291.6851 | 24170819935.9609 | 25227689221.6334 | 29037647177.1845 | 30984017499.3348 | 32783785466.8283 | 44015596446.6198 | 45599318629.1325 | 48967569034.9698 | 51731628328.5265 | 55214083185.829 | 56266310823.9311 | 56918906551.0893 | 53168021031.3339 | 58110459316.9922 | 66608487294.9757 | 71628614409.7966 | 74442544521.0684 | 82021928689.0519 | 87836952891.2224 | 97860377662.2056 | 106322089230.229 | 113731664797.827 | 105641874703.965 | 110147396496.737 | 110954455166.33 | 115488095429.7 | 123564183528.145 | 124807620869.356 | 135258275620.607 | 138913140533.564 | 147324001572.315 | 158914658949.539 | 164754786702.161 | 171829542285.217 | 178857622429.208 | 185354810844.006 | |
Final consumption expenditure, etc. (annual % growth) | NE.CON.TETC.KD.ZG | 5.1787733736 | 8.2687203253 | -2.1745143445 | -0.4742307604 | 1.5249213929 | 2.7770894284 | 7.1314908639 | 11.2517536001 | 4.3508325779 | 1.6845339365 | 4.3835386417 | -0.5982613539 | 8.1141698701 | 14.5907810033 | 12.3437721684 | 2.9764933368 | 4.3725007611 | 15.102286706 | 6.7029202135 | 5.8086978796 | 34.2602625653 | 3.5980931996 | 7.3866244214 | 5.6446732971 | 6.7317712004 | 1.9057232818 | 1.1598338644 | -6.5898762767 | 9.2958853645 | 14.6239215416 | 7.5367679386 | 3.9284999919 | 10.1815221615 | 7.0895970079 | 11.4113985527 | 8.6467186927 | 6.9689898132 | -7.1130499217 | 4.2649013996 | 0.7327078944 | 4.0860371551 | 6.993004836 | 1.0063088718 | 8.3734107569 | 2.7021377407 | 6.0547627146 | 7.8674603279 | 3.6750088326 | 4.2941123136 | 4.0901465781 | 3.6326035908 | ||
Final consumption expenditure, etc. (constant LCU) | NE.CON.TETC.KN | 93559344594944 | 98404571021312 | 106541369786368 | 104224612417536 | 103730347245568 | 105312153501696 | 108236766183424 | 115955661275136 | 129002706567168 | 134615398350848 | 136883040419840 | 142883361390592 | 142028545458176 | 153552982900736 | 175957562359808 | 197677362970624 | 203561216507904 | 212461932249088 | 244548542398464 | 260940436078592 | 276097677656064 | 370689466957824 | 384027219460096 | 412393867837440 | 435672154374144 | 465000606990336 | 473862231818240 | 479358246453248 | 447769131089920 | 489393236213760 | 560961719107584 | 603240102100992 | 626938389463040 | 690770260525056 | 739743088246784 | 824158120312832 | 895420754558976 | 957822535729152 | 889692140601344 | 927636633157632 | 934433500000000 | 972614800000000 | 1.0406298E+15 | 1.05110175E+15 | 1.139114817E+15 | 1.16989526838E+15 | 1.24072965089012E+15 | 1.33834356395079E+15 | 1.38752780813593E+15 | 1.4471098106E+15 | 1.506298723E+15 | 1.5610165845E+15 | |
Final consumption expenditure, etc. (% of GDP) | NE.CON.TETC.ZS | 87.625907767 | 90.2970169355 | 92.7676511447 | 89.1548346687 | 84.5674967056 | 92.1103113197 | 102.2529602769 | 97.4319593852 | 93.0934699898 | 90.9698076009 | 85.6873055048 | 82.6513722502 | 76.7764449405 | 76.7821037956 | 71.144760651 | 73.3502773758 | 72.8897917162 | 70.966508468 | 72.9053949207 | 67.16533177 | 61.9630966455 | 68.2884364651 | 70.997915117 | 70.1970292626 | 69.6571507962 | 70.2911850986 | 71.4531960232 | 68.2696811228 | 68.4696820194 | 64.5563171127 | 67.7366205681 | 66.7509051606 | 66.5889877156 | 67.535338935 | 67.7969525486 | 69.4061212772 | 69.9241404964 | 68.5241089728 | 73.4749597261 | 80.5482544142 | 67.2365619661 | 69.1896724942 | 72.3001510456 | 67.0626836543 | 71.2715401653 | 70.7719913134 | 69.1874768919 | 71.0375291592 | 71.1285867167 | 66.2086898224 | 65.7468056995 | 65.8177381816 | |
Final consumption expenditure (current US$) | NE.CON.TOTL.CD | 5845537345.44407 | 6979908278.59859 | 8032049038.92025 | 8317794825.81918 | 8189682672.56143 | 8977472410.83373 | 13304527948.4916 | 19640866949.2434 | 23837276944.6554 | 28987398395.6819 | 34744891387.0651 | 40000001667.4884 | 36583313660.6085 | 49031724084.3162 | 61328666691.046 | 68265703882.8615 | 59926754909.9287 | 61590738617.2294 | 61314272184.3602 | 58230410982.8576 | 50948994886.6282 | 60792612061.3092 | 63460897238.2247 | 75130367581.0257 | 82852867819.054 | 89764768317.157 | 106710456079.736 | 119927480468.808 | 140291994063.005 | 158986286873.67 | 147839992519.668 | 70128578803.7829 | 112768648820.664 | 112515230583.664 | 112375791859.036 | 146510069493.826 | 179055103094.802 | 192859716332.171 | 207174694716.742 | 259925024358.31 | 310716978776.939 | 352298520517.267 | 368489593029.411 | 464812421626.399 | 538263450775.903 | ||||||||
Final consumption expenditure (current LCU) | NE.CON.TOTL.CN | 367000004 | 453000004 | 1315000072 | 3051999952 | 6465999968 | 23092000256 | 342342002688 | 874392969216 | 2068090929152 | 2618447986688 | 3035995111424 | 3221985067008 | 3725651050496 | 5521379098624 | 8150959783936 | 9892469932032 | 12029770334208 | 14419129925632 | 17682000248832 | 22793599320064 | 30742400204800 | 38744999067648 | 45152300695552 | 54489001754624 | 63188398768128 | 68094401708032 | 74683999322112 | 83752504000512 | 102478103183360 | 112329599483904 | 138450997084160 | 161589600714752 | 182215302447104 | 222715403304960 | 259133303422976 | 315460591550464 | 372393587507200 | 430122700111872 | 702239509315584 | 885814640771072 | 947578000000000 | 1.1530711E+15 | 1.3641833E+15 | 1.5357794E+15 | 1.723944E+15 | 2.010577E+15 | 2.38073554E+15 | 2.840263903E+15 | 3.416823569E+15 | 3.8285847622E+15 | 4.2253463313E+15 | 4.7208037108E+15 | |
Final consumption expenditure (constant 2000 US$) | NE.CON.TOTL.KD | 11141542887.2886 | 11737464695.2497 | 12611288716.4679 | 12315491258.5222 | 12318485420.0236 | 12504744975.6174 | 12852012926.385 | 13768553054.0527 | 15317756717.9923 | 15984206667.4801 | 16253466053.2762 | 16965943018.3388 | 16864442337.9279 | 18232851836.8786 | 20893167319.0526 | 23472172291.6851 | 24170819935.9609 | 25227689221.6334 | 29037647177.1845 | 30984017499.3348 | 32783785466.8283 | 44015596446.6198 | 45599318629.1325 | 48967569034.9698 | 51731628328.5265 | 55214083185.8289 | 56266310823.9311 | 56918906551.0893 | 53851685915.3621 | 58110459316.9922 | 66947307646.3776 | 72016966917.9322 | 74519034091.9317 | 82021928689.0519 | 87836952891.2224 | 97630199753.678 | 106322089230.229 | 113731664797.827 | 105641986262.877 | 110147396496.737 | 112515230583.664 | 116885330508.315 | 122430622069.046 | 128001217083.041 | 134218445348.032 | 139926630827.962 | 145395918936.889 | 152480524050.725 | 161544082321.938 | 171567690549.958 | 178664267866.248 | 186717459185.681 | |
Final consumption expenditure (constant LCU) | NE.CON.TOTL.KN | 93831571701760 | 98850291318784 | 106209440956416 | 103718301204480 | 103743517360128 | 105312153501696 | 108236766183424 | 115955661275136 | 129002706567168 | 134615398350848 | 136883040419840 | 142883361390592 | 142028545458176 | 153552982900736 | 175957562359808 | 197677362970624 | 203561216507904 | 212461932249088 | 244548542398464 | 260940436078592 | 276097677656064 | 370689466957824 | 384027219460096 | 412393867837440 | 435672154374144 | 465000606990336 | 473862231818240 | 479358246453248 | 453526803185664 | 489393236213760 | 563815188004864 | 606510719696896 | 627582567448576 | 690770260525056 | 739743088246784 | 822219613667328 | 895420754558976 | 957822535729152 | 889693080125440 | 927636633157632 | 947578000000000 | 984382000000000 | 1.0310832E+15 | 1.0779975E+15 | 1.1303576E+15 | 1.178430656E+15 | 1.224491772E+15 | 1.284156725E+15 | 1.360487977E+15 | 1.4449045541E+15 | 1.5046703343E+15 | 1.57249250277E+15 | |
Gross national expenditure deflator (base year varies by country) | NE.DAB.DEFL.ZS | 0.0004078868 | 0.0004718791 | 0.0011949443 | 0.0030066059 | 0.0067509739 | 0.0221584798 | 0.3041326397 | 0.765812255 | 1.6317471789 | 2.0300231631 | 2.350662245 | 2.4292511935 | 2.9872080026 | 4.0273835175 | 4.9642064878 | 5.3610225071 | 6.463612859 | 7.308335265 | 7.5408402621 | 9.086566146 | 10.8477335549 | 10.3780839647 | 10.9675565876 | 13.126689393 | 14.1683040632 | 14.3911063136 | 15.2766530435 | 17.9317981206 | 21.2354440881 | 22.9717819501 | 23.75551953 | 26.1650127696 | 27.7423090741 | 30.3394688536 | 32.3935554943 | 34.9409070069 | 37.854694666 | 41.4852674754 | 70.6681861162 | 83.5049231954 | 100 | 115.4327335289 | 125.4048007367 | 132.6594756811 | 144.0716493701 | 166.5248949646 | 188.7382282507 | 213.0526320899 | 259.9637856357 | 278.6968253259 | 305.6094702458 | 335.1089234284 | |
Gross national expenditure (current US$) | NE.DAB.TOTL.CD | 6384452328.11534 | 7716393627.6792 | 9199152322.74846 | 9803427716.5589 | 9950084901.16646 | 11444838775.0554 | 16757502455.3639 | 24686343042.159 | 31188202764.9542 | 38146492460.4145 | 45661872897.8506 | 52556991972.557 | 50708036427.0133 | 67115833922.3593 | 87834024710.3043 | 93535537185.8785 | 86664979605.2859 | 84537891623.8065 | 85809223028.9767 | 80860775611.2649 | 74762722955.0419 | 86402974679.6125 | 98533601625.1759 | 112601243775.685 | 125995382057.132 | 135035816021.763 | 153288389730.607 | 174865399210.874 | 204829000416.821 | 228769447533.894 | 216342963881.4 | 86139534086.6086 | 128683160949.982 | 147664529427.412 | 147176282422.093 | 183342251868.446 | 217542936642.034 | 244837222085.564 | 274014784270.641 | 344838854223.309 | 414745729023.083 | 504860608168.278 | 524438708958.858 | 696140333434.417 | 834873637780.346 | ||||||||
Gross national expenditure (current LCU) | NE.DAB.TOTL.CN | 399018740 | 506873204 | 1399096264 | 3341782816 | 7424241152 | 24994000128 | 358413254656 | 955005485056 | 2286305640448 | 2998923657216 | 3578251116544 | 3914562535424 | 4749608091648 | 6954363518976 | 10244832362496 | 12943104147456 | 15830794371072 | 18949677252608 | 23232817659904 | 31594149052416 | 42080956055552 | 55490024308736 | 61866273406976 | 78801000202240 | 86730799579136 | 95298003140608 | 103708801105920 | 122898700304384 | 145649490198528 | 174410392666112 | 207502704640000 | 245731306766336 | 274111909593088 | 319928213176320 | 377840411344896 | 460578510340096 | 535846688129024 | 629423866904576 | 862566804881408 | 1.01082551916953E+15 | 1.2435975E+15 | 1.5101537E+15 | 1.7071348E+15 | 1.86589466E+15 | 2.188563107E+15 | 2.65924283691E+15 | 3.15848817500001E+15 | 3.791190709E+15 | 4.89647138601735E+15 | 5.44888671976E+15 | 6.32821729173E+15 | 7.32220358191E+15 | |
Gross national expenditure (constant 2000 US$) | NE.DAB.TOTL.KD | 11615824394.1013 | 12754544054.7623 | 13902608268.3593 | 13197694150.8481 | 13058160099.1036 | 13393440447.1869 | 13993210788.5815 | 14807437200.4672 | 16637105197.3983 | 17541259048.682 | 18074942687.7165 | 19134061080.731 | 18879420394.6273 | 20503629497.4817 | 24504811380.191 | 28667324382.0684 | 29081962958.7409 | 30787874023.389 | 36582930176.4515 | 41286038738.5872 | 46062015191.2072 | 63488355861.1933 | 66979271266.6636 | 71280849424.2354 | 72686176954.4195 | 78629581558.317 | 80609039058.3626 | 81380395223.2491 | 81441162956.0758 | 90151720621.2025 | 103718344076.834 | 111515666547.048 | 117322590775.39 | 125210546892.755 | 138498838832.531 | 156518559360.993 | 168080429333.382 | 180154725244.799 | 144932285876.701 | 143734314489.136 | 147664529427.412 | 155341865499.801 | 161640430533.849 | 167011043961.791 | 180375227258.022 | 189616084843.304 | 198708171422.25 | 211292982235.18 | 223648872845.261 | 232151825466.21 | 245873045403.83 | 259449090382.099 | |
Gross national expenditure (constant LCU) | NE.DAB.TOTL.KN | 97825864024064 | 107415905239040 | 117084644179968 | 111148015812608 | 109972891369472 | 112796547153920 | 117847678255104 | 124704910213120 | 140113963122688 | 147728543776768 | 152223107514368 | 161142764732416 | 158998238068736 | 172676962320384 | 206374017433600 | 241429766995968 | 244921759956992 | 259288559779840 | 308093221076992 | 347701745025024 | 387923945979904 | 534684672983040 | 564084378435584 | 600311303503872 | 612146656313344 | 662200674942976 | 678871221403648 | 685367409770496 | 685879181967360 | 759237542150144 | 873492597702656 | 939159896195074 | 988064507756548 | 1.0544951024681E+15 | 1.16640611250995E+15 | 1.31816415140249E+15 | 1.41553562340556E+15 | 1.51722263157146E+15 | 1.22058715850343E+15 | 1.21049811255296E+15 | 1.2435975E+15 | 1.3082543E+15 | 1.3612994E+15 | 1.4065295E+15 | 1.51907965E+15 | 1.596904077E+15 | 1.673475588E+15 | 1.779462038E+15 | 1.88352057346924E+15 | 1.9551305306E+15 | 2.070687563E+15 | 2.1850219645E+15 | |
Gross national expenditure (% of GDP) | NE.DAB.TOTL.ZS | 96.8492087379 | 102.1921782258 | 99.2971043612 | 98.6941136938 | 98.6216943677 | 99.896082623 | 107.5185969575 | 106.7484153726 | 103.3349139832 | 104.5482079328 | 101.5190188657 | 101.0251369598 | 98.6191760702 | 97.5908546766 | 90.6662445575 | 97.014583658 | 96.9940958414 | 94.3502304691 | 96.7933233461 | 91.9913387995 | 86.0313751111 | 94.9825246004 | 98.7545535679 | 101.5178515175 | 96.4907408107 | 98.2486019967 | 100.9993897418 | 98.4631889438 | 97.3142105384 | 97.1203090385 | 98.4048674909 | 98.3048672118 | 97.0668750469 | 97.0137622819 | 98.8542459048 | 101.3342603519 | 100.615638918 | 100.2753707479 | 90.2499235176 | 91.9156555469 | 89.4822588977 | 91.7289388103 | 93.7042212532 | 92.6611825498 | 95.3279057647 | 95.8534007126 | 94.5876941863 | 95.957813008 | 98.9448312965 | 97.1938820485 | 98.3211784666 | 98.5878378298 | |
Exports of goods and services (current US$) | NE.EXP.GNFS.CD | 549939020.978352 | 850449461.653154 | 831624097.766871 | 1298928726.96986 | 1481077568.11673 | 2030161416.63614 | 3612714795.79759 | 8112644905.33012 | 7718352535.7494 | 9647266833.27229 | 12023764533.0506 | 12441087132.0365 | 16846773884.9321 | 26664131298.515 | 26854619167.2088 | 23966056268.6223 | 22488397277.543 | 22417491987.622 | 19389868435.5614 | 15601609327.9591 | 18173190917.4787 | 21110163794.2419 | 24640067227.7087 | 28982530241.0888 | 33063805666.8527 | 38801526291.7036 | 42274398287.0896 | 46896633859.5543 | 53185313144.4533 | 58717199880.0858 | 60106040385.3565 | 50555727069.5257 | 49720260523.8385 | 67621169359.8417 | 62625866713.1114 | 63956799298.5592 | 71553141756.8334 | 82744350707.5308 | 97387622312.8673 | 113143428508.797 | 127226102177.005 | 152095145102.519 | 130357767224.835 | 174323240916.275 | 222948755857.749 | ||||||||
Exports of goods and services (current LCU) | NE.EXP.GNFS.CN | 61981256 | 53126792 | 81903800 | 344217312 | 1033758784 | 1383000064 | 44558753792 | 82261524480 | 251981365248 | 271109455872 | 474108985344 | 582685556736 | 842516987904 | 1499276640256 | 3366747635712 | 3203116302336 | 4003615735808 | 4989862281216 | 5499582414848 | 10496550895616 | 16718143422464 | 16965674467328 | 15851628527616 | 20447800328192 | 22999000416256 | 21533999235072 | 20010000973824 | 29873999446016 | 35585402077184 | 43614398840832 | 53409298251776 | 64484999692288 | 78763995955200 | 88230900793344 | 101331901612032 | 119592500330496 | 137533300146176 | 174871304732672 | 506244808835072 | 390560099598336 | 569490300000000 | 642594600000000 | 595514000000000 | 613720800000000 | 739639307000000 | 945121766800000 | 1.036316461E+15 | 1.1629738E+15 | 1.4751191E+15 | 1.35440938E+15 | 1.5846738E+15 | 1.9553572E+15 | |
Exports of goods and services (constant 2000 US$) | NE.EXP.GNFS.KD | 9165347489.34449 | 9964659122.19444 | 9129828924.81414 | 8561428301.91071 | 9573886184.10261 | 9229739890.73525 | 9113495504.88737 | 9146725119.60727 | 10059701338.4752 | 11553774978.8688 | 13529198428.9873 | 15654036115.9711 | 18974059205.9154 | 22509895002.4004 | 23987291581.5771 | 23406195156.1132 | 27390332430.8345 | 29979905618.2141 | 30278789871.4002 | 30972220144.4371 | 32684515964.6487 | 26785635319.2049 | 24373048352.8954 | 24774873591.7256 | 26396509867.1821 | 24336747879.9224 | 28039336359.4651 | 32138994879.2326 | 32477251459.7065 | 34665712588.4406 | 35829013059.9903 | 42556868056.019 | 48391869271.8528 | 51347519043.2771 | 56452263592.518 | 60811041589.8699 | 65408368398.3635 | 70510204447.4101 | 78395483150.8973 | 53461815409.1799 | 67621169359.8417 | 68057312551.7023 | 67229102385.0236 | 71186462734.1372 | 80816802684.8184 | 94233454015.342 | 103096605730.726 | 111904127845.668 | 122572463895.097 | 110695022932.785 | 127594082026.48 | 144913423048.371 | |
Exports of goods and services (annual % growth) | NE.EXP.GNFS.KD.ZG | 8.7210183114 | -8.377910244 | -6.2257532708 | 11.8258057708 | -3.5946353106 | -1.2594546241 | 0.3646198619 | 9.9814546401 | 14.8520675726 | 17.0976451743 | 15.7055696842 | 21.2087353405 | 18.6351046875 | 6.5633206153 | -2.4225178715 | 17.0217211646 | 9.4543328159 | 0.9969486128 | 2.2901518719 | 5.5284891178 | -18.047936374 | -9.0070178943 | 1.6486458034 | 6.5454875863 | -7.803160333 | 15.2139821549 | 14.6210968306 | 1.0524802712 | 6.7384431575 | 3.3557667929 | 18.7776732358 | 13.7110682303 | 6.1077404446 | 9.941560263 | 7.7211748829 | 7.560019839 | 7.7999744895 | 11.1831737906 | -31.804980006 | 26.4849852971 | 0.6449802569 | -1.21693046 | 5.8863798693 | 13.5283305011 | 16.6013141881 | 9.4055256787 | 8.5429797155 | 9.5334606996 | -9.6901380497 | 15.2663224109 | 13.5737808108 | ||
Exports of goods and services (constant LCU) | NE.EXP.GNFS.KN | 77188497932288 | 83920120971264 | 76889368559616 | 72102426181632 | 80629119057920 | 77730796273664 | 76751812165632 | 77031664517120 | 84720545169408 | 97303297785856 | 113939870384128 | 131834776125440 | 159795264880640 | 189573279776768 | 202015581929472 | 197121718353920 | 230675227607040 | 252484031348736 | 255001167396864 | 260841081405440 | 275261652205568 | 225582604353536 | 205264338812928 | 208648420720640 | 222305477197824 | 204958624382976 | 236140992921600 | 270667396153344 | 273516117098496 | 291946845175808 | 301743900459008 | 358404384096256 | 407545453740032 | 432437272248320 | 475428284268544 | 512136933539840 | 550854587318272 | 593821104603136 | 660229150736384 | 450243401351168 | 569490300000000 | 573163400000000 | 566188400000000 | 599516400000000 | 680620960000000 | 793612984000000 | 868256457000000 | 942431430000000 | 1.03227776E+15 | 932248620000000 | 1.0745687E+15 | 1.2204283E+15 | |
Exports of goods and services (% of GDP) | NE.EXP.GNFS.ZS | 15.0439941748 | 10.7110467742 | 5.8129025039 | 10.1658977846 | 13.7321836344 | 5.5275781369 | 13.3669573534 | 9.1950125123 | 11.3888853015 | 9.4513935681 | 13.4510065001 | 15.0376670806 | 17.4937236018 | 21.0394076065 | 29.7955450809 | 24.0088460186 | 24.5298548695 | 24.8444683234 | 22.9125397849 | 30.5623603935 | 34.1789969325 | 29.0402214187 | 25.3032939009 | 26.34251789 | 25.5871109092 | 22.2007308707 | 19.4872360449 | 23.9342584151 | 23.7760208094 | 24.2866484571 | 25.3285128325 | 25.7972393315 | 27.8914366214 | 26.7547883649 | 26.5114276271 | 26.3121645768 | 25.8245523827 | 27.8592627914 | 52.9681353606 | 35.514128704 | 40.9773085458 | 39.0321334466 | 32.6876211623 | 30.477655734 | 32.2166931957 | 34.0672668843 | 31.0347163143 | 29.4357184851 | 29.8082841674 | 24.1591195221 | 24.6209932938 | 26.327380327 | |
Gross fixed capital formation, private sector (current LCU) | NE.GDI.FPRV.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross fixed capital formation, private sector (% of GDP) | NE.GDI.FPRV.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross fixed capital formation (current US$) | NE.GDI.FTOT.CD | 12306680111.7542 | 16826105434.4813 | 22373211622.2483 | 23921866482.7386 | 21471195767.3365 | 19340800124.4537 | 19846117695.748 | 20429063140.1514 | 19112267492.1143 | 22753931907.7841 | 26951628495.0177 | 32427649194.8223 | 34603553047.7365 | 35850673812.4788 | 41525223401.5516 | 48770378875.098 | 57465752585.2166 | 67306789766.6667 | 61073530891.1611 | 24271332737.5215 | 28194535639.3475 | 32758080951.3285 | 31564179607.9036 | 38015221098.6024 | 45794855762.0053 | 57656326319.6051 | 67580800945.4141 | 87974482744.1205 | 107824865988.404 | 141330551849.431 | 167889043632.591 | 227161241304.962 | 271168914876.878 | ||||||||||||||||||||
Gross fixed capital formation (current LCU) | NE.GDI.FTOT.CN | 7667800080384 | 10549799682048 | 14134500392960 | 15822400520192 | 19522899673088 | 19842499346432 | 22040700518400 | 26201500418048 | 31417700450304 | 38356301905920 | 47706001113088 | 59757998112768 | 67487999721472 | 72774001360896 | 86667297816576 | 105380596154368 | 129217496875008 | 157652696956928 | 177686102147072 | 243043408019456 | 221472303874048 | 275881200000000 | 323875300000000 | 353967000000000 | 392788560000000 | 515381230000000 | 655854250000000 | 805786123129580 | 985627100000000 | 1.37071697E+15 | 1.74435709E+15 | 2.06499412E+15 | 2.37826889E+15 | ||||||||||||||||||||
Gross fixed capital formation (constant 2000 US$) | NE.GDI.FTOT.KD | 9383696168.99972 | 11857489135.2885 | 13382832140.9559 | 14202542121.5727 | 14754037585.1276 | 13868875393.4602 | 14866946160.3074 | 16234890498.4393 | 17127675550.3762 | 19098859761.8554 | 21947841284.7155 | 25476509421.1325 | 28763086750.9658 | 29794323384.5835 | 31760632870.0521 | 36129532846.5048 | 41185813017.1656 | 47163685340.4891 | 51204667857.0217 | 34302954882.0148 | 28061377212.9923 | 32758080951.3285 | 34884889037.4167 | 36522536606.996 | 36741783727.0339 | 42136690132.4668 | 46724174149.5551 | 47937545040.5973 | 52407184183.5781 | 58636369066.5172 | 60567505821.6134 | 65704400121.6155 | 71498785240.7345 | ||||||||||||||||||||
Gross fixed capital formation (annual % growth) | NE.GDI.FTOT.KD.ZG | 26.3626711877 | 12.8639629205 | 6.1250860205 | 3.8830757116 | -5.9994573456 | 7.1964794443 | 9.2012463312 | 5.4991750762 | 11.5087666489 | 14.917024149 | 16.0775180148 | 12.9004224068 | 3.5852780425 | 6.599611141 | 13.7557081886 | 13.9948672797 | 14.514396792 | 8.5679956673 | -33.0081488317 | -18.1954519384 | 16.7372531387 | 6.4924684973 | 4.6944325029 | 0.6003063873 | 14.6833002053 | 10.8871484748 | 2.5968803368 | 9.3238799342 | 11.8861277895 | 3.2934112153 | 8.481270989 | 8.8188692209 | |||||||||||||||||||||
Gross fixed capital formation (constant LCU) | NE.GDI.FTOT.KN | 79027381469184 | 99861110194176 | 112707206381568 | 119610619723776 | 124255190646784 | 116800553484288 | 125206081306624 | 136726601269248 | 144245436448768 | 160846307131392 | 184839789608960 | 214557440081920 | 242236256157696 | 250921099460608 | 267480916295680 | 304274810601472 | 346857666510848 | 397201964531712 | 431234211643392 | 288891781251072 | 236326616039424 | 275881200000000 | 293792700000000 | 307584600000000 | 309431050000000 | 354865740000000 | 393500500000000 | 403719237109880 | 441361534049210 | 493822330000000 | 510085930000000 | 553347700000000 | 602146710000000 | ||||||||||||||||||||
Gross fixed capital formation (% of GDP) | NE.GDI.FTOT.ZS | 22.3260070677 | 21.5682783584 | 24.1940880007 | 25.2566384509 | 25.1509857123 | 22.0754042481 | 22.7231205439 | 25.5169814357 | 25.1710308405 | 25.6273690629 | 26.5650544114 | 28.3392830759 | 26.9985902013 | 25.7702954507 | 26.2806476006 | 27.5706860702 | 28.4298098508 | 29.6023604939 | 28.3076964609 | 25.4295074435 | 20.1387594694 | 19.8508544472 | 19.6726582042 | 19.4291640498 | 19.5060596088 | 22.4486162493 | 23.640511262 | 24.1309915286 | 24.946943643 | 27.6985912221 | 31.1147663689 | 32.0837047853 | 32.0215608621 | ||||||||||||||||||||
Changes in inventories (current US$) | NE.GDI.STKB.CD | 1378065487.32452 | 1950330234.55907 | 2311847095.27569 | 2367879095.35648 | 5267140213.66285 | 4168762611.4972 | 4571575514.86548 | 3225813850.23349 | 3813547571.1094 | 2856439419.10575 | 6086233920.20199 | 2664951770.76447 | 5838528985.63153 | 6549026233.69247 | 5052704722.83063 | 6167534528.85156 | 7071243975.79686 | 2476369326.71456 | 7429452724.58565 | -8260376616.97428 | -12280020306.2934 | 3951993309.7539 | 4599385216.29639 | 3864113455.5401 | 14303369515.4175 | 4129293322.18408 | 4119075476.47051 | 4627223050.30099 | -115228093.206432 | 600319844.668232 | -699156106.772513 | 3474061009.19282 | 6338868090.89631 | ||||||||||||||||||||
Changes in inventories (current LCU) | NE.GDI.STKB.CN | 858617479168 | 1222837534720 | 1460532543488 | 1566162550784 | 4789199962112 | 4276900069376 | 5077100134400 | 4137300000768 | 6268900081664 | 4815099789312 | 10772999569408 | 4910999928832 | 11386999537664 | 13293999620096 | 10545500520448 | 13326500233216 | 15900399894528 | 5800399994880 | 21615100297216 | -82716104065024 | -96461400309760 | 33282800000000 | 47193600000000 | 35979500000000 | 122681900000000 | 36911132000000 | 39974565550000 | 42382200000000 | -1053300000000 | 5822298064690 | -7264190000000 | 31580720000000 | 55594620000000 | ||||||||||||||||||||
Changes in inventories (constant LCU) | NE.GDI.STKB.KN | -5033145925632 | -5472287981568 | -5918180769792 | -5983521734656 | -6489123586048 | -6954533519360 | -7196379709440 | -7625609052160 | -8029766942720 | -19517436592128 | -19820149997568 | -17176887033856 | -15249829789696 | -24878944092160 | -16270445510656 | -22890172907520 | -24458819534848 | -9061490753536 | -5155843473408 | 9854222598144 | 14845748445184 | 33282800000000 | 41846800000000 | 13085000000000 | 45996700000000 | 25099093000000 | 33508308620000 | 29026700000000 | -243060000000 | 2170435333310 | -2065210000000 | 11041140000000 | 21858670000000 | ||||||||||||||||||||
Gross capital formation (current US$) | NE.GDI.TOTL.CD | 557202361.371879 | 764765848.469527 | 1194757666.55215 | 1528827399.0137 | 1809653758.62043 | 2534867417.75422 | 3573108311.59518 | 5315253220.85783 | 7607590063.19036 | 9479903365.24337 | 11316819647.2289 | 12970705200.4384 | 13684745599.0788 | 18776435669.0404 | 24685058717.524 | 26289745578.0951 | 26738335980.9993 | 23509562735.9509 | 24417693210.6135 | 23654876990.3849 | 22925815063.2237 | 25610371326.8899 | 33037862415.2197 | 35092600965.5867 | 40442082033.368 | 42399700046.1713 | 46577928124.3823 | 54937913403.9496 | 64536996561.0135 | 69783159093.3812 | 68502983615.7468 | 16010956120.5472 | 15914515333.0541 | 36710074261.0824 | 36163564824.2 | 41879334554.1425 | 60098225277.4228 | 61785619641.7892 | 71699876421.8846 | 92601705794.4214 | 107709637895.197 | 141930871694.099 | 167189887525.818 | 230635302314.155 | 277507782967.774 | ||||||||
Gross capital formation (current LCU) | NE.GDI.TOTL.CN | 38000000 | 59000000 | 92000000 | 323000000 | 1058000000 | 1948000000 | 17553000448 | 83347996672 | 226593996800 | 389490999296 | 558022000640 | 711954006016 | 1051969978368 | 1482839949312 | 2205830086656 | 3157149876224 | 3934159896576 | 4696480153600 | 5733700075520 | 8526417559552 | 11772637216768 | 15595032936448 | 17388563070976 | 24312099635200 | 24119399415808 | 27117800652800 | 30338800418816 | 37686600531968 | 43171401695232 | 58479000682496 | 64668998041600 | 78874999259136 | 86068000980992 | 97212798337024 | 118707096387584 | 145117896769536 | 163453096951808 | 199301202444288 | 160327303954432 | 125010903564288 | 309164000000000 | 371068900000000 | 389946500000000 | 515470460000000 | 552292362000000 | 695828815550000 | 848168323129580 | 984573800000000 | 1.37653926806469E+15 | 1.7370929E+15 | 2.09657484E+15 | 2.43386351E+15 | |
Gross capital formation (constant 2000 US$) | NE.GDI.TOTL.KD | 1481091470.09136 | 2124446981.77782 | 1934684277.14869 | 1476463020.33866 | 1680119416.2427 | 1749540310.67059 | 1967081682.30957 | 1606060982.999 | 1957825778.86589 | 2485459090.05614 | 3295435057.60824 | 4012841781.091 | 4776519306.2522 | 5591120486.35645 | 6664917840.7968 | 7636913704.18974 | 8095091632.31538 | 9386449283.56721 | 10798091844.9951 | 13474662058.2208 | 16758377702.7601 | 18836098682.6579 | 19899928447.5625 | 20755326323.2003 | 19768699309.3437 | 21113103721.0742 | 22985305296.1464 | 24244711777.8836 | 30230763759.9727 | 33951082137.96 | 37645869462.187 | 41248987235.0846 | 45475559953.7415 | 45375718712.1401 | 52943034596.4407 | 59857766706.3235 | 62813615690.0899 | 66779036965.2733 | 40710380810.062 | 31250416195.8986 | 36710074261.0824 | 39853770070.1006 | 38076247005.7044 | 42203423092.4345 | 45116951637.415 | 50702944309.7402 | 51384169849.9353 | 52378323285.6408 | 58894086143.1002 | 60322283180.9931 | 67015422974.6224 | 74094279538.0929 | |
Gross capital formation (annual % growth) | NE.GDI.TOTL.KD.ZG | 43.4379324085 | -8.9323342148 | -23.6845495786 | 13.7935317782 | 4.1319023967 | 12.4342017336 | -18.3531117471 | 21.902331206 | 26.9499623963 | 32.5885857785 | 21.7697120696 | 19.0308406566 | 17.0542842575 | 19.2054053756 | 14.5837636204 | 5.9995168974 | 15.9523537213 | 15.0391539844 | 24.7874369995 | 24.3695584375 | 12.3981033054 | 5.6478243336 | 4.2984972428 | -4.7536087773 | 6.8006720659 | 8.8674862768 | 5.479181005 | 24.6901346443 | 12.3063988972 | 10.8826791123 | 9.5710839579 | 10.2464884642 | -0.2195492297 | 16.6770160321 | 13.0607022484 | 4.93812106 | 6.3129963649 | -39.0371849309 | -23.2372294877 | 17.4706731295 | 8.5635779069 | -4.4601127102 | 10.8392407637 | 6.9035360914 | 12.3811393935 | 1.3435620938 | 1.9347465155 | 12.4398080136 | 2.4250262317 | 11.0956340521 | 10.5630260159 | ||
Gross capital formation (constant LCU) | NE.GDI.TOTL.KN | 12473419694080 | 17891615309824 | 16293476433920 | 12434439929856 | 14149588353024 | 14734235533312 | 16566320103424 | 13525884862464 | 16488368963584 | 20931978199040 | 27753413869568 | 33795252158464 | 40226772746240 | 47087160918016 | 56130441052160 | 64316371894272 | 68175043493888 | 79050567581696 | 90939104165888 | 113480577318912 | 141135292923904 | 158633392340992 | 167592727674880 | 174796696453120 | 166487545348096 | 177809817337856 | 193577078489088 | 204183517003776 | 254596702273536 | 285928388034560 | 317045056995328 | 347389705584640 | 382984951693312 | 382144111181824 | 445874345869312 | 504108666585088 | 529002162814976 | 562398050123776 | 342853683249152 | 263183986065408 | 309164000000000 | 335639500000000 | 320669600000000 | 355427750000000 | 379964833000000 | 427008808620000 | 432745937109880 | 441118474049210 | 495992765333310 | 508020720000000 | 564388840000000 | 624005380000000 | |
Gross capital formation (% of GDP) | NE.GDI.TOTL.ZS | 9.2233009709 | 11.8951612903 | 6.5294532165 | 9.5392790251 | 14.0541976621 | 7.7857713032 | 5.2656366807 | 9.3164559874 | 10.2414439934 | 13.5784003318 | 15.8317133609 | 18.3737647096 | 21.8427311297 | 20.808750881 | 19.5214839065 | 23.6643062822 | 24.1043041252 | 23.3837220011 | 23.8879284254 | 24.8260070295 | 24.0682784656 | 26.6940881354 | 27.7566384509 | 31.3208222549 | 26.8335900146 | 27.9574168982 | 29.5461937186 | 30.193507821 | 28.844528519 | 32.5639919258 | 30.6682469228 | 31.5539620512 | 30.4778873314 | 29.4784233469 | 31.0572933561 | 31.9281390747 | 30.6914984216 | 31.7512617751 | 16.7749637915 | 11.3674011328 | 22.2456969316 | 22.5392663161 | 21.4040702075 | 25.5984988955 | 24.0563655994 | 25.0814093991 | 25.4002172944 | 24.9202838487 | 27.8162445799 | 30.9851922261 | 32.5743727671 | 32.7700996482 | |
Imports of goods and services (current US$) | NE.IMP.GNFS.CD | 953550972.372637 | 1099479610.48454 | 1231818978.15951 | 1445616429.58904 | 1582044516.46771 | 1869915631.96145 | 3199036087.82651 | 5571276948.04819 | 6758602293.0506 | 8465084564.04819 | 9289493965.41687 | 10699920765.0679 | 12432189977.4918 | 15766759183.3048 | 22214765045.7942 | 22786429640.2415 | 23784175003.7312 | 19342944414.1525 | 17860217134.4638 | 16401727327.3338 | 17006296157.5087 | 18725515164.1951 | 21718471067.1013 | 27157275971.7786 | 30891187877.4656 | 34721072261.021 | 37555938138.7973 | 44869884826.9388 | 55882280717.1155 | 60116976064.6307 | 60700149620.052 | 41249713138.7794 | 38402068946.5996 | 50264686525.7451 | 49355201496.8912 | 51638440133.1563 | 54323619580.7712 | 70744689488.541 | 85533796566.9168 | 93411756735.0525 | 109755093425.227 | 146711204310.831 | 115216517130.994 | 162436733855.738 | 210990110712.888 | ||||||||
Imports of goods and services (current LCU) | NE.IMP.GNFS.CN | 48999996 | 63999996 | 72000000 | 300000000 | 929999936 | 1356999936 | 69621997568 | 142635008000 | 325767004160 | 401572986880 | 527649996800 | 622407974912 | 776014987264 | 1327599976448 | 2312079933440 | 2804819951616 | 3513010094080 | 3855139995648 | 4729899843584 | 7746000257024 | 9885600186368 | 14034400182272 | 15071399903232 | 21625999196160 | 19844699258880 | 19835199160320 | 21036200361984 | 27955799523328 | 31565599997952 | 38442998169600 | 50045701324800 | 60247699881984 | 70481000529920 | 78383002157056 | 96952603639808 | 125656901877760 | 140811995971584 | 176599794188288 | 413058111373312 | 301654008135680 | 423317900000000 | 506426300000000 | 480815400000000 | 465940900000000 | 632376140000000 | 830083444000000 | 855587836000000 | 1.003271309E+15 | 1.42290208880128E+15 | 1.1970927E+15 | 1.4766203E+15 | 1.8504747E+15 | |
Imports of goods and services (constant 2000 US$) | NE.IMP.GNFS.KD | 2332254340.35214 | 3143994831.22418 | 3083408879.65962 | 2259553041.18883 | 2459455903.04503 | 2259539345.34032 | 2162614323.41149 | 2774449960.30391 | 2968289794.52904 | 3592244514.25163 | 4022339727.53031 | 5276296755.65004 | 6015353129.42327 | 8062850608.84303 | 10655595256.7085 | 11897418261.0724 | 13890390326.4044 | 14508303184.8072 | 16343800881.9137 | 18157294579.7762 | 19925258296.8574 | 26659848662.1716 | 27035830083.8644 | 26304549465.8332 | 24328853094.806 | 25612902143.2579 | 26681190280.3782 | 27207941578.9239 | 22121287502.4669 | 24680799547.4273 | 30396851073.8078 | 35177293867.1372 | 38234386547.3932 | 39830491769.0893 | 47914177996.79 | 57946929889.6293 | 61924849747.1544 | 71037694823.7449 | 67279705391.8711 | 39913523473.2664 | 50264686525.7451 | 52365680577.3909 | 50140425315.7911 | 50924488021.542 | 64497541765.9161 | 75958076691.5379 | 82477305886.5028 | 89953261974.1096 | 98950897502.7884 | 84130571896.8383 | 98722450010.4245 | 111877633432.121 | |
Imports of goods and services (annual % growth) | NE.IMP.GNFS.KD.ZG | 34.8049728894 | -1.9270372509 | -26.7189941595 | 8.8470090417 | -8.1284871771 | -4.2895921299 | 28.2914817621 | 6.9866040836 | 21.020680692 | 11.9728824575 | 31.1748164765 | 14.0071039974 | 34.0378600452 | 32.1566747748 | 11.6541870674 | 16.7512986566 | 4.448491683 | 12.6513602158 | 11.0959115995 | 9.7369336016 | 33.799262549 | 1.4102909077 | -2.7048572793 | -7.5108542482 | 5.2778856588 | 4.1708984446 | 1.9742421272 | -18.6954755901 | 11.5703574879 | 23.1599122848 | 15.7267697951 | 8.6905283044 | 4.1745281298 | 20.2952207434 | 20.9390045124 | 6.8647637849 | 14.7159744655 | -5.2901342607 | -40.6752404149 | 25.9339746325 | 4.1798610453 | -4.2494535296 | 1.5637336557 | 26.6532944595 | 17.7689484155 | 8.5826675436 | 9.0642583523 | 10.0025672568 | -14.9774544547 | 17.3443229787 | 13.3254223536 | ||
Imports of goods and services (constant LCU) | NE.IMP.GNFS.KN | 19641722208256 | 26478018297856 | 25967777021952 | 19029448196096 | 20712985198592 | 19029332852736 | 18213052088320 | 23365794398208 | 24998269943808 | 30253076447232 | 33875241730048 | 44435786170368 | 50659952951296 | 67903516835840 | 89739029905408 | 100197384323072 | 116981747417088 | 122185670721536 | 137643820056576 | 152916656652288 | 167806049976320 | 224523257380864 | 227689688465408 | 221531007352832 | 204892136275968 | 215706108952576 | 224702991695872 | 229139172818944 | 186300514697216 | 207856150249472 | 255995452325888 | 296255267799040 | 322001415700480 | 335443455377408 | 403522445115392 | 488016028106752 | 521517175668736 | 598263510073344 | 566614567157760 | 336142729740288 | 423317900000000 | 441012000000000 | 422271400000000 | 428874600000000 | 543183810000000 | 639701861000000 | 694605345000000 | 757566168000000 | 833342233469240 | 708528780000000 | 831418300000000 | 942208300000000 | |
Imports of goods and services (% of GDP) | NE.IMP.GNFS.ZS | 11.8932029126 | 12.903225 | 5.1100068651 | 8.8600114784 | 12.3538780021 | 5.4236607599 | 20.885554311 | 15.9434278849 | 14.7237992847 | 13.9996015009 | 14.9700253657 | 16.0628040404 | 16.112899672 | 18.630262283 | 20.4617896384 | 21.0234296767 | 21.5239507109 | 19.1946987926 | 19.7058631311 | 22.5536991929 | 20.2103720436 | 24.0227460191 | 24.0578474688 | 27.8603694075 | 22.0778517199 | 20.4493328675 | 20.4866257867 | 22.3974473589 | 21.0902313478 | 21.4069574956 | 23.7333803234 | 24.1021065433 | 24.9583116683 | 23.7685506467 | 25.3656735319 | 27.6464249287 | 26.4401913007 | 28.1346335393 | 43.2180588782 | 27.4297842509 | 30.4595674435 | 30.7610722568 | 26.3918424154 | 23.1388382838 | 27.5445989604 | 29.9206675969 | 25.6224105006 | 25.3935314931 | 28.7531154639 | 21.3530015706 | 22.9421717604 | 24.9152181568 | |
External balance on goods and services (current US$) | NE.RSB.GNFS.CD | -403611951.394284 | -249030148.831383 | -400194880.392638 | -146687702.619178 | -100966948.35098 | 160245784.674699 | 413678707.971084 | 2541367957.28193 | 959750242.698795 | 1182182269.2241 | 2734270567.63373 | 1741166366.96861 | 4414583907.44036 | 10897372115.2102 | 4639854121.41466 | 1179626628.38081 | -1295777726.18824 | 3074547573.46947 | 1529651301.09763 | -800117999.374755 | 1166894759.96997 | 2384648630.04681 | 2921596160.60739 | 1825254269.31019 | 2172617789.38705 | 4080454030.68258 | 4718460148.29231 | 2026749032.61553 | -2696967572.66222 | -1399776184.54491 | -594109234.695425 | 9306013930.74636 | 11318191577.2389 | 17356482834.0966 | 13270665216.2202 | 12318359165.4029 | 17229522176.0623 | 11999661218.9899 | 11853825745.9506 | 19731671773.7447 | 17471008751.7777 | 5383940791.68872 | 15141250093.8408 | 11886507060.5362 | 11958645144.8617 | ||||||||
External balance on goods and services (current LCU) | NE.RSB.GNFS.CN | 12981260 | -10873204 | 9903800 | 44217312 | 103758848 | 26000128 | -25063243776 | -60373483520 | -73785638912 | -130463531008 | -53541011456 | -39722418176 | 66502000640 | 171676663808 | 1054667702272 | 398296350720 | 490605641728 | 1134722285568 | 769682571264 | 2750550638592 | 6832543236096 | 2931274285056 | 780228624384 | -1178198867968 | 3154301157376 | 1698800074752 | -1026199388160 | 1918199922688 | 4019802079232 | 5171400671232 | 3363596926976 | 4237299810304 | 8282995425280 | 9847898636288 | 4379297972224 | -6064401547264 | -3278695825408 | -1728489455616 | 93186697461760 | 88906091462656 | 146172400000000 | 136168300000000 | 114698600000000 | 147779900000000 | 107263167000000 | 115038322800000 | 180728625000000 | 159702491000000 | 52217011198719.8 | 157316680000000 | 108053500000000 | 104882500000000 | |
External balance on goods and services (constant LCU) | NE.RSB.GNFS.KN | 57546777821184 | 57442100576256 | 50921593634816 | 53072973791232 | 59916135956480 | 58701465518080 | 58538760077312 | 53665872216064 | 59722275225600 | 67050223435776 | 80064624459776 | 87398985760768 | 109135311929344 | 121669762940928 | 112276552024064 | 96924334030848 | 113693480189952 | 130298360627200 | 117357347340288 | 107924424753152 | 107455602229248 | 1059346972672 | -22425349652480 | -12882586632192 | 17413340921856 | -10747484569600 | 11438001225728 | 41528223334400 | 87215602401280 | 84090694926336 | 45748448133120 | 62149116297216 | 85544038039552 | 96993816870912 | 71905839153152 | 24120905433088 | 29337411649536 | -4442405470208 | 93614583578624 | 114100671610880 | 146172400000000 | 132151400000000 | 143917000000000 | 170641800000000 | 137437150000000 | 153911123000000 | 173651112000000 | 184865262000000 | 198935526530760 | 223719840000000 | 243150400000000 | 278220000000000 | |
External balance on goods and services (% of GDP) | NE.RSB.GNFS.ZS | 3.1507912621 | -2.1921782258 | 0.7028956388 | 1.3058863062 | 1.3783056323 | 0.103917377 | -7.5185969575 | -6.7484153726 | -3.3349139832 | -4.5482079328 | -1.5190188657 | -1.0251369598 | 1.3808239298 | 2.4091453234 | 9.3337554425 | 2.985416342 | 3.0059041586 | 5.6497695309 | 3.2066766539 | 8.0086612005 | 13.9686248889 | 5.0174753996 | 1.2454464321 | -1.5178515175 | 3.5092591893 | 1.7513980033 | -0.9993897418 | 1.5368110562 | 2.6857894616 | 2.8796909615 | 1.5951325091 | 1.6951327882 | 2.9331249531 | 2.9862377181 | 1.1457540952 | -1.3342603519 | -0.615638918 | -0.2753707479 | 9.7500764824 | 8.0843444531 | 10.5177411023 | 8.2710611897 | 6.2957787468 | 7.3388174502 | 4.6720942353 | 4.1465992874 | 5.4123058137 | 4.042186992 | 1.0551687035 | 2.8061179515 | 1.6788215334 | 1.4121621702 | |
Trade (% of GDP) | NE.TRD.GNFS.ZS | 26.9371970874 | 23.6142717742 | 10.922909369 | 19.025909263 | 26.0860616366 | 10.9512388967 | 34.2525116644 | 25.1384403972 | 26.1126845862 | 23.450995069 | 28.4210318658 | 31.100471121 | 33.6066232738 | 39.6696698895 | 50.2573347192 | 45.0322756953 | 46.0538055804 | 44.039167116 | 42.618402916 | 53.1160595864 | 54.389368976 | 53.0629674379 | 49.3611413697 | 54.2028872975 | 47.664962629 | 42.6500637382 | 39.9738618317 | 46.3317057739 | 44.8662521571 | 45.6936059527 | 49.0618931559 | 49.8993458749 | 52.8497482897 | 50.5233390116 | 51.8771011589 | 53.9585895055 | 52.2647436835 | 55.9938963306 | 96.1861942388 | 62.9439129549 | 71.4368759893 | 69.7932057034 | 59.0794635777 | 53.6164940178 | 59.761292156 | 63.9879344812 | 56.6571268149 | 54.8292499782 | 58.5613996313 | 45.5121210927 | 47.5631650541 | 51.2425984838 | |
Agriculture, value added (current US$) | NV.AGR.TOTL.CD | 3074808039.20171 | 3629764005.36475 | 4131993738.20859 | 4339972752.48219 | 4207971099.16243 | 4452048086.66988 | 6567806941.45542 | 8475132575.15181 | 9701445997.18554 | 11662072770.3133 | 14313421189.8602 | 15257776307.0335 | 15045099978.6525 | 18701255165.2139 | 21604564064.6732 | 22679236830.7227 | 19537535660.0882 | 19903407367.6426 | 20268688420.9348 | 19390904599.1565 | 17714511867.9801 | 19962389498.0352 | 21973265204.7456 | 22210643985.0462 | 23399237099.3863 | 25984273908.5368 | 28251352136.4376 | 30578039742.9559 | 34642103094.2018 | 37907951512.4799 | 34718567636.1803 | 17259285185.1806 | 27458003214.3933 | 25746530861.1025 | 24532763814.2172 | 30242187891.3354 | 35651016101.1337 | 36819570121.7321 | 37524881440.8549 | 47298660815.3839 | 59285800240.6739 | 73892290275.1514 | 82502574605.8206 | 108405041197.156 | 124676393792.781 | ||||||||
Agriculture, value added (current LCU) | NV.AGR.TOTL.CN | 212000000 | 227000000 | 793000000 | 1866999936 | 3972999936 | 14008999936 | 169371992064 | 459938988032 | 1075470008320 | 1347029958656 | 1584090054656 | 1655500046336 | 1847599955968 | 2725639880704 | 3517180018688 | 4026100088832 | 4839760199680 | 5940069793792 | 6744699830272 | 9373999955968 | 11725499793408 | 13648899604480 | 15000500436992 | 17764699865088 | 20419700588544 | 22509999095808 | 24869999738880 | 29119999901696 | 33650599002112 | 38893999095808 | 40929998143488 | 45635998842880 | 52745998434304 | 58963399802880 | 66071499374592 | 77896236400640 | 88791796678656 | 101009502240768 | 172827571388416 | 215686731268096 | 216831500000000 | 251727000000000 | 281590800000000 | 305783500000000 | 329124600000000 | 364169300000000 | 433223400000000 | 541931500000000 | 716656200000000 | 857196800000000 | 985448800000000 | 1.093466E+15 | |
Agriculture, value added (constant 2000 US$) | NV.AGR.TOTL.KD | 7200720850.13556 | 7324524846.33435 | 7534976748.74972 | 7262619611.03439 | 7629879516.39106 | 7691775289.10476 | 8009558817.18356 | 7927001736.4115 | 8805960455.74664 | 9024621898.77894 | 9495073797.3307 | 10072777636.6091 | 10229568706.5013 | 11182840601.8625 | 11599590829.361 | 11599590829.361 | 12148400910.5447 | 12301147969.8928 | 12936597490.7686 | 13797357166.5934 | 14751873143.031 | 15460547144.4834 | 15625971081.2195 | 15918400854.5223 | 16653323074.1666 | 17361295848.175 | 17810244766.5231 | 18192035220.1108 | 19083010427.9199 | 20569638507.0284 | 21152946189.4893 | 21193661207.9627 | 22451776793.7233 | 22928995935.5353 | 23056465936.8591 | 24065191575.8223 | 24820644619.4409 | 25069520598.3958 | 24735716413.7673 | 25270731040.2623 | 25746530861.1025 | 26584833911.5328 | 27501742715.4171 | 28543542050.2422 | 29348158616.9039 | 30145864526.6908 | 31157658311.8214 | 32238962381.0486 | 33795617527.0162 | 35133185851.688 | 36184377505.3926 | 37251979000.6793 | |
Agriculture, value added (annual % growth) | NV.AGR.TOTL.KD.ZG | 1.7193278114 | 2.8732498944 | -3.6145717073 | 5.0568517288 | 0.8112287039 | 4.1314718142 | -1.0307319374 | 11.0881610546 | 2.4831072559 | 5.2129818161 | 6.0842480175 | 1.5565822611 | 9.3187887262 | 3.7266938011 | 0 | 4.7312882778 | 1.257342925 | 5.165774141 | 6.6536790407 | 6.9181073224 | 4.8039594334 | 1.06997466 | 1.871434241 | 4.6168093539 | 4.2512402531 | 2.5859182533 | 2.1436564101 | 4.8976114933 | 7.7903226261 | 2.8357702167 | 0.1924791852 | 5.9362824262 | 2.1255295124 | 0.5559336383 | 4.3750227885 | 3.1391939733 | 1.0026974834 | -1.3315140324 | 2.1629235133 | 1.8828098803 | 3.2559844856 | 3.4489920341 | 3.7881211587 | 2.8189093184 | 2.7180782283 | 3.3563269822 | 3.470427907 | 4.8284902211 | 3.957815902 | 2.9920191643 | 2.9504486988 | ||
Agriculture, value added (constant LCU) | NV.AGR.TOTL.KN | 60642853650432 | 61685503098880 | 63457881751552 | 61164151111680 | 64257131544576 | 64778403840000 | 67454705336320 | 66759428145152 | 74161821057024 | 76003338616832 | 79965378838528 | 84830670815232 | 86151129989120 | 94179371778048 | 97689148588032 | 97689148588032 | 102311103823872 | 103597505249280 | 108949118386176 | 116198243041280 | 124236962201600 | 130205255467008 | 131598418706432 | 134061196574720 | 140250546438144 | 146212934123520 | 149993881075712 | 153209234522112 | 160712827600896 | 173232875372544 | 178145361657856 | 178488254398464 | 189083821277184 | 193102853701632 | 194176377421824 | 202671638183936 | 209033894035456 | 211129871630336 | 208318647762944 | 212824420777984 | 216831500000000 | 223891500000000 | 231613500000000 | 240387300000000 | 247163600000000 | 253881700000000 | 262402800000000 | 271509300000000 | 284619100000000 | 295883800000000 | 304736700000000 | 313727800000000 | |
Agriculture, value added (% of GDP) | NV.AGR.TOTL.ZS | 51.4563106796 | 45.7661290323 | 56.2810478339 | 55.1388028772 | 52.7763009564 | 55.9912062057 | 50.809055508 | 51.410969789 | 48.6083745039 | 46.960037769 | 44.9424210056 | 42.7243446502 | 38.3629094967 | 38.2490108222 | 31.1268640075 | 30.177492156 | 29.6528496078 | 29.5755408694 | 28.0999886067 | 27.2938766107 | 23.9719095203 | 23.3628829434 | 23.944673606 | 22.8859298553 | 22.7175587736 | 23.2069494557 | 24.2202664549 | 23.3301739177 | 22.4833020121 | 21.6580970559 | 19.4104026292 | 18.2566920974 | 18.6780984703 | 17.879827462 | 17.28626174 | 17.1383538803 | 16.6723869932 | 16.0921214127 | 18.0828603782 | 19.6126699626 | 15.6019712328 | 15.2902652094 | 15.456451726 | 15.1853485203 | 14.3357798335 | 13.1266183575 | 12.9738027192 | 13.7166831035 | 14.4817402608 | 15.2901480534 | 15.3108660572 | 14.7226784225 | |
Manufacturing, value added (current US$) | NV.IND.MANF.CD | 482360973.3713 | 701497181.56564 | 894953987.141104 | 994136950.531507 | 908123585.536978 | 1256298826.64096 | 1822756558.03374 | 2495783168.61687 | 3151951867.06506 | 4074554094.11084 | 5095301139.73976 | 6370998985.58756 | 6424582060.11141 | 10133176289.6837 | 11185892940.1209 | 11312479761.0724 | 10883905318.1531 | 12781352523.5817 | 13959732929.8284 | 13398358765.1415 | 12866381414.5236 | 17490895110.1996 | 20022484777.8491 | 23642696918.8477 | 27369354808.2949 | 30550957835.0855 | 35243317469.1456 | 41300843189.5666 | 48780906154.222 | 58244461019.5995 | 57805514905.4836 | 23857255361.7457 | 36393181440.3307 | 45785820936.1938 | 46615184727.2942 | 56190403265.5596 | 66329892801.8086 | 72083391952.8323 | 78349458987.1092 | 100393878671.179 | 116907767202.713 | 141920811741.003 | 142208857798.986 | 175544920850.858 | 205632519107.76 | ||||||||
Manufacturing, value added (current LCU) | NV.IND.MANF.CN | 38000000 | 54000000 | 125000000 | 252000000 | 629000000 | 2091000064 | 30840000512 | 72152997888 | 207847997440 | 291754999808 | 362859986944 | 357273993216 | 521364013056 | 756443971584 | 1035750014976 | 1308060024832 | 1690939949056 | 2114549972992 | 2816300023808 | 4002900082688 | 6353400102912 | 7066799833088 | 7482300170240 | 9896299855872 | 13112900059136 | 15503399583744 | 17184199802880 | 21150400774144 | 29484401033216 | 35441000579072 | 43568999694336 | 53378998599680 | 62016001671168 | 73556331331584 | 89240796921856 | 109688750342144 | 136426003890176 | 168178202181632 | 238897002971136 | 285873895636992 | 385597900000000 | 478311400000000 | 523199600000000 | 568920300000000 | 644342600000000 | 760361300000000 | 919539300000000 | 1.0686539E+15 | 1.3764417E+15 | 1.4775415E+15 | 1.5957794E+15 | 1.8034863E+15 | |
Manufacturing, value added (constant 2000 US$) | NV.IND.MANF.KD | 1311178656.74978 | 1470769407.09443 | 1488022440.99531 | 1462137536.3123 | 1440573173.80577 | 1427631219.49513 | 1453514381.07014 | 1505276221.94246 | 1634661151.9045 | 1871887442.11024 | 2048721265.73867 | 2113422321.75194 | 2432580664.00648 | 2803513546.92016 | 3256387446.43803 | 3657503489.33042 | 4011179852.12724 | 4563277434.98606 | 5331004947.06166 | 6212469259.62926 | 7624025661.71917 | 8223152796.26432 | 8321976062.7977 | 10329039413.1464 | 12607320406.6137 | 14018179067.4755 | 15320402257.895 | 16945609414.5832 | 18977921933.2282 | 21521650384.326 | 24169027024.8823 | 26561684788.4905 | 29176994218.3429 | 32078613618.3495 | 36044030909.286 | 39963824589.6404 | 44596443856.6561 | 46938352276.1207 | 41570245026.4092 | 43200351810.6507 | 45785820936.1938 | 47296891869.5467 | 49798027203.0119 | 52453892381.3802 | 55802058141.2257 | 58367906670.5102 | 61044171348.0377 | 63892062545.2666 | 66228838235.3316 | 67693861870.8153 | 70903683879.378 | 75310355665.1528 | |
Manufacturing, value added (annual % growth) | NV.IND.MANF.KD.ZG | 12.1715488216 | 1.1730617878 | -1.7395506929 | -1.4748518502 | -0.8983892346 | 1.8130145392 | 3.5611509282 | 8.5954277412 | 14.5122608395 | 9.4468192718 | 3.1581190226 | 15.1014938647 | 15.248533724 | 16.1537974381 | 12.3178230321 | 9.6698844944 | 13.7639697848 | 16.8240376136 | 16.5346744436 | 22.7213422409 | 7.858409207 | 1.2017685793 | 24.1176294573 | 22.0570461815 | 11.1907892824 | 9.2895317156 | 10.6081232681 | 11.9931509627 | 13.4036195325 | 12.3009926901 | 9.8996859127 | 9.8461729769 | 9.9448880111 | 12.36156069 | 10.8750147569 | 11.5920318302 | 5.2513344494 | -11.4365055214 | 3.9213307095 | 5.984833496 | 3.3003032434 | 5.2881600346 | 5.3332738816 | 6.383064455 | 4.5981252569 | 4.5851647424 | 4.6652958576 | 3.6573802707 | 2.2120630144 | 4.7416736464 | 6.2150110469 | ||
Manufacturing, value added (constant LCU) | NV.IND.MANF.KN | 11042452144128 | 12386489597952 | 12531790774272 | 12313793921024 | 12132183703552 | 12023189471232 | 12241171644416 | 12677098242048 | 13766749061120 | 15764615593984 | 17253870338048 | 17798768099328 | 20486647971840 | 23610561396736 | 27424563658752 | 30802672877568 | 33781255766016 | 38430897602560 | 44896526270464 | 52320020725760 | 64207831695360 | 69253545852928 | 70085813207040 | 86988849938432 | 106176020742144 | 118057955491840 | 129024986710016 | 142712116346880 | 159827795902464 | 181250505572352 | 203546117013504 | 223696543285248 | 245722091880448 | 270158878736384 | 303554732490752 | 336566354444288 | 375581233381376 | 395304260075520 | 350095266545664 | 363823659745280 | 385597900000000 | 398323800000000 | 419387800000000 | 441754900000000 | 469952400000000 | 491561400000000 | 514100300000000 | 538084600000000 | 557764400000000 | 570102500000000 | 597134900000000 | 634246900000000 | |
Manufacturing, value added (% of GDP) | NV.IND.MANF.ZS | 9.2233009709 | 10.8870967742 | 8.8715396964 | 7.4424096419 | 8.3554729012 | 8.357314319 | 9.2515372748 | 8.065103614 | 9.3941748457 | 10.1711366716 | 10.2947469757 | 9.2203544509 | 10.8254172572 | 10.6152077757 | 9.1663348736 | 9.8045180865 | 10.3602628925 | 10.5283205952 | 11.7333610944 | 11.6550737631 | 12.9890525007 | 12.0962731113 | 11.9436838892 | 12.7492176084 | 14.5885135041 | 15.9834129268 | 16.7352594455 | 16.9451418323 | 19.6996996408 | 19.7352971704 | 20.6619072704 | 21.3542809758 | 21.9607367446 | 22.3049301319 | 23.3480364164 | 24.1331893158 | 25.6166359717 | 26.7929649036 | 24.9956712045 | 25.9948784661 | 27.7454490848 | 29.0533322157 | 28.7183010258 | 28.2528424057 | 28.065825681 | 27.4075068902 | 27.5375740802 | 27.0484127488 | 27.8142729854 | 26.3554743673 | 24.7935404155 | 24.2825555017 | |
Industry, value added (current US$) | NV.IND.TOTL.CD | 761517044.092417 | 1188111745.98748 | 1577757664.58896 | 1804520495.69315 | 2047770689.66265 | 2928554275.16145 | 4556530039.05542 | 9306771001.98554 | 10760939722.3325 | 13398602053.706 | 16577855428.7807 | 19404366566.4737 | 20774403726.6889 | 32543900683.2574 | 38109882225.7458 | 35899883107.4769 | 33999955779.2856 | 34272473768.5174 | 31309946417.2066 | 27014719404.5552 | 27527573488.8681 | 33087620734.1035 | 38903200783.9212 | 44761531613.1549 | 51782272683.6512 | 55151433993.8052 | 62697845958.7885 | 71892581753.5874 | 84492896438.9454 | 98804892528.9185 | 95639212934.1565 | 43168320269.2947 | 60704690922.7888 | 75786549794.5361 | 74535377587.1767 | 86996428776.6947 | 102711934076.164 | 114620174270.013 | 133046275218.22 | 171142379024.09 | 202273722787.441 | 245227330373.474 | 257121301951.696 | 332649235643.332 | 399292414285.877 | ||||||||
Industry, value added (current LCU) | NV.IND.TOTL.CN | 62000004 | 81000000 | 167000000 | 430000032 | 1321000064 | 3150000064 | 39799000832 | 113909998336 | 352027996160 | 514348998656 | 658649980928 | 805633972224 | 1215350024192 | 1890959966208 | 3862309965824 | 4465789984768 | 5560419852288 | 6879810002944 | 8577700003840 | 12943699935232 | 20404699971584 | 24076299567104 | 23744900071424 | 30914800123904 | 35161499729920 | 34772198916096 | 34648000102400 | 45251201007616 | 55775800655872 | 68861001859072 | 82487000694784 | 100991999279104 | 111953001316352 | 130856680423424 | 155341896024064 | 189990735183872 | 231430704594944 | 278250802118656 | 432270274985984 | 476844446973952 | 638257300000000 | 764796300000000 | 810040400000000 | 880973900000000 | 1.0245725E+15 | 1.2911798E+15 | 1.5675472E+15 | 1.8489841E+15 | 2.3783765E+15 | 2.6714749E+15 | 3.0239257E+15 | 3.5019675E+15 | |
Industry, value added (constant 2000 US$) | NV.IND.TOTL.KD | 4138656825.88305 | 4386598996.98446 | 4489860216.46843 | 4291635469.57879 | 4412945825.28565 | 4524157609.34185 | 4517570653.25112 | 4741130727.77506 | 5981376468.42059 | 7172853533.63348 | 8283499693.01839 | 8649353657.27085 | 10465838528.4496 | 12633738951.3581 | 13713021617.6375 | 14066486068.3054 | 15790275444.5931 | 17949233225.4658 | 18898786822.4622 | 19983739071.9971 | 22012443855.1271 | 23344730180.0892 | 21999967186.1429 | 25452432617.4693 | 28198186288.9127 | 28726529294.0716 | 30754753975.4572 | 32696518508.2587 | 34943374750.8254 | 40582837100.1716 | 44750992791.6383 | 49182399624.6641 | 57912239052.3803 | 57081623192.0966 | 63456509776.1891 | 70068741928.8772 | 77558719597.7372 | 81569629019.1101 | 70189544293.1118 | 71570946421.0126 | 75786549794.5361 | 77858511962.9198 | 81177396485.9046 | 84225672984.5367 | 87545068088.6996 | 91663154643.0628 | 95777500893.4475 | 100298198517.654 | 104047502973.713 | 107781026909.177 | 113021584624.493 | 119029177756.973 | |
Industry, value added (annual % growth) | NV.IND.TOTL.KD.ZG | 5.9908850029 | 2.3540154811 | -4.4149425 | 2.8266696127 | 2.5201257495 | -0.1455951949 | 4.9486790951 | 26.1592816536 | 19.9197805305 | 15.4840211664 | 4.4166593567 | 21.0013943603 | 20.7140633502 | 8.5428602762 | 2.5775825381 | 12.2545841791 | 13.6727050041 | 5.2902181674 | 5.7408565943 | 10.151777782 | 6.0524235007 | -5.7604563581 | 15.6930480946 | 10.7877848562 | 1.8736772633 | 7.0604585073 | 6.3137053034 | 6.8718516377 | 16.1388600545 | 10.2707350922 | 9.9023654149 | 17.7499257749 | -1.4342665279 | 11.168019106 | 10.4201005949 | 10.6894707435 | 5.1714487322 | -13.9513748718 | 1.9681024315 | 5.8901042732 | 2.7339444453 | 4.2627125016 | 3.7550803926 | 3.9410728185 | 4.7039617928 | 4.4885496974 | 4.7199995636 | 3.7381573263 | 3.5882878769 | 4.8622265584 | 5.3154387743 | ||
Industry, value added (constant LCU) | NV.IND.TOTL.KN | 34854838206464 | 36942951481344 | 37812594278400 | 36143189983232 | 37164838551552 | 38101439217664 | 38045965352960 | 39928738086912 | 50373809143808 | 60408161370112 | 69761773862912 | 72842913775616 | 88140941361152 | 106398511792128 | 115487987990528 | 118464786202624 | 132982153150464 | 151164410658816 | 159161337774080 | 168298561929216 | 185383857946624 | 196604074131456 | 185278782242816 | 214354670649344 | 237478791348224 | 241928377466880 | 259009630175232 | 275362734931968 | 294285253541888 | 341779538771968 | 376882809798656 | 414203122810880 | 487723869667328 | 480728609456128 | 534416472408064 | 590103206428672 | 653182116036608 | 686961094295552 | 591120576806912 | 602754435252224 | 638257300000000 | 655706900000000 | 683657800000000 | 709329700000000 | 737284900000000 | 771966500000000 | 806616600000000 | 844688900000000 | 876264700000000 | 907707600000000 | 951842400000000 | 1.002437E+15 | |
Industry, value added (% of GDP) | NV.IND.TOTL.ZS | 15.0485446602 | 16.3306451613 | 11.8523770344 | 12.6993507308 | 17.5478223167 | 12.5899281845 | 11.9391029048 | 12.7326094015 | 15.9107260461 | 17.9311887224 | 18.6866426257 | 20.7914119769 | 25.2350963932 | 26.5359150062 | 34.1812464594 | 33.4731723658 | 34.0682775248 | 34.2544968291 | 35.7366937662 | 37.6876200744 | 41.7158867533 | 41.2115104365 | 37.9029942638 | 39.8269575337 | 39.1182737092 | 35.8488092014 | 33.7428147737 | 36.2540656957 | 37.2660281926 | 38.3452022498 | 39.118152157 | 40.4018731241 | 39.6441293121 | 39.6804606932 | 40.6420423221 | 41.8008443541 | 43.4556165484 | 44.3289551135 | 45.2282177283 | 43.3600746186 | 45.9253938368 | 46.4548429773 | 44.4629239973 | 43.7495669608 | 44.627614537 | 46.5410578694 | 46.9435587411 | 46.7991415207 | 48.060744769 | 47.6521222921 | 46.9825741932 | 47.1512981185 | |
Chemicals (% of value added in manufacturing) | NV.MNF.CHEM.ZS.UN | 8.9482742357 | 11.1961664136 | 9.2178241736 | 8.8291039231 | 9.0596208119 | 8.4813501108 | 9.4307092489 | 13.4805179501 | 11.392867279 | 10.5325953975 | 10.9541382 | 8.8849536781 | 11.7260799816 | 9.4849294626 | 10.9463498291 | 11.3235342336 | 6.4853290487 | ||||||||||||||||||||||||||||||||||||
Food, beverages and tobacco (% of value added in manufacturing) | NV.MNF.FBTO.ZS.UN | 27.4790062856 | 25.9730896438 | 25.0948206761 | 23.3266399671 | 20.2324150453 | 19.0010613704 | 16.180186437 | 21.3191494018 | 19.6876836216 | 18.0031023121 | 20.917740539 | 19.4532948077 | 25.0280972895 | 24.7774198767 | 24.9601149527 | 25.5356225702 | 25.64041344 | ||||||||||||||||||||||||||||||||||||
Machinery and transport equipment (% of value added in manufacturing) | NV.MNF.MTRN.ZS.UN | 8.8368586672 | 8.4237563156 | 9.2106034383 | 10.4614413912 | 12.6778610348 | 12.9576424921 | 12.4504532385 | 14.3742280624 | 14.0190608003 | 20.2294526092 | 18.7422682528 | 17.2934337895 | 17.4389969812 | 18.5579847756 | 20.0773146915 | 17.9489320646 | 17.8015281068 | ||||||||||||||||||||||||||||||||||||
Other manufacturing (% of value added in manufacturing) | NV.MNF.OTHR.ZS.UN | 40.1250902397 | 39.4295098328 | 39.8812695527 | 37.1845316589 | 36.6912160278 | 40.7235679504 | 43.8914238705 | 33.2801871348 | 35.322213579 | 34.5077112044 | 36.8041781644 | 39.9945503046 | 32.2436413824 | 34.4978850219 | 32.4825825414 | 32.1114987509 | 38.4142173078 | ||||||||||||||||||||||||||||||||||||
Textiles and clothing (% of value added in manufacturing) | NV.MNF.TXTL.ZS.UN | 14.6107705718 | 14.9774777942 | 16.5954821593 | 20.1982830596 | 21.3388870802 | 18.8363780763 | 18.0472272052 | 17.5459174508 | 19.5781747202 | 16.7271384769 | 12.5816748437 | 14.3737674201 | 13.5631843653 | 12.6817808633 | 11.5336379854 | 13.0804123806 | 11.6585120967 | ||||||||||||||||||||||||||||||||||||
Services, etc., value added (current US$) | NV.SRV.TETC.CD | 2144515293.42693 | 2649487727.49559 | 3089206039.55828 | 3512246765.76438 | 3593376163.99039 | 4224482197.8988 | 6046844182.8241 | 9445807422.30361 | 11685567288.1349 | 14267999905.6193 | 17504866846.8434 | 19636015466.0184 | 19303116629.1124 | 26768050189.0983 | 32759432541.3 | 36136043876.0596 | 31831710439.724 | 33436558061.116 | 35760239491.9329 | 33655033608.1785 | 30687532358.1636 | 35737613077.5206 | 40578731797.1164 | 47454322446.7945 | 52986490063.482 | 57980562150.1036 | 67057651783.6736 | 74421526746.9462 | 82997033311.0117 | 90656827307.9506 | 85391074076.3676 | 35017942562.8797 | 51838658390.0385 | 63487931605.8701 | 61378806236.9196 | 78421994365.819 | 96409508640.7991 | 105397138912.808 | 115297453357.516 | 146129486157.581 | 170657214746.745 | 191124928311.341 | 199956082495.183 | 266972563654.465 | 322863474846.549 | ||||||||
Services, etc., value added (current LCU) | NV.SRV.TETC.CN | 137999996 | 188000000 | 449000064 | 1089000160 | 2234000000 | 7861000256 | 124179017984 | 320783015168 | 785021997056 | 1007081168896 | 1281970069504 | 1413706098688 | 1753160112128 | 2509440335872 | 3920010080256 | 4849510424576 | 5921219960832 | 7264519741440 | 8680100397056 | 12026999799808 | 16783299526656 | 20696099422208 | 23901101522944 | 28943301345280 | 34303900418048 | 39714605203456 | 43164601876480 | 50445699317760 | 60242892619776 | 71826792382464 | 87449302728704 | 103340608454656 | 117695905267712 | 139956031586304 | 160806313918464 | 186627137208320 | 212345491030016 | 248435073089536 | 350655655968768 | 407200432390142 | 534681100000000 | 629798700000000 | 730202200000000 | 826917160000000 | 942129174000000 | 1.11893205971E+15 | 1.33844620000001E+15 | 1.5599776E+15 | 1.85365569721607E+15 | 2.07753169976E+15 | 2.42689629173E+15 | 2.83165258191E+15 | |
Services, etc., value added (constant 2000 US$) | NV.SRV.TETC.KD | 6613882128.91133 | 7291745451.50754 | 7372869697.50922 | 7411342581.07255 | 7591510721.27646 | 7616765865.94308 | 7856906383.69796 | 7964587128.99088 | 8383900223.27015 | 8779797898.86187 | 9285263358.65681 | 10221369126.5014 | 10640481016.3152 | 10675022444.3077 | 12046427100.8214 | 13987397772.4397 | 14163959671.2212 | 15580910245.5037 | 18175554383.0508 | 19758541472.0212 | 21477447157.7429 | 24161775695.6307 | 25909477525.3994 | 27693326434.6376 | 29252338318.2392 | 30552931951.7005 | 32691229420.5766 | 34717432096.6902 | 37042534962.9772 | 38393278311.4326 | 42684973544.714 | 48002711945.8552 | 46981688929.0157 | 56211866090.8419 | 60197511402.9927 | 65027127770.84 | 69150819267.5555 | 73011881165.2192 | 60993030032.8495 | 60364447361.4051 | 63487931605.8701 | 66590151599.6595 | 70049968401.7598 | 74503803639.607 | 79801261471.3207 | 86082442997.3545 | 92392312061.2048 | 100706687208.035 | 109427318736.84 | 115802063741.292 | 125538715290 | 136203723240.697 | |
Services, etc., value added (annual % growth) | NV.SRV.TETC.KD.ZG | 10.2490989314 | 1.1125490672 | 0.521816947 | 2.4309784392 | 0.3326761378 | 3.1527884929 | 1.3705234609 | 5.2647185283 | 4.7221181675 | 5.7571423126 | 10.0816286161 | 4.1003498125 | 0.3246228055 | 12.8468550176 | 16.1124178594 | 1.2622926841 | 10.0039156223 | 16.6527121758 | 8.7094294656 | 8.6995575466 | 12.4983594101 | 7.2333335587 | 6.8849281406 | 5.6295580355 | 4.4461185267 | 6.9986653728 | 6.1980008462 | 6.697220174 | 3.6464657449 | 11.1782463547 | 12.4581040107 | -2.1270111114 | 19.6463289682 | 7.0903985036 | 8.0229502105 | 6.3414941396 | 5.5835374599 | -16.4615004306 | -1.0305811518 | 5.1743772717 | 4.8863144779 | 5.1956884299 | 6.3580831504 | 7.110318632 | 7.87103037 | 7.3300301945 | 8.9989902421 | 8.6594363995 | 5.8255516795 | 8.4080121149 | 8.4953935733 | ||
Services, etc., value added (constant LCU) | NV.SRV.TETC.KN | 55700629749760 | 61409442398208 | 62092652576768 | 62416662560768 | 63933998170112 | 64146691325952 | 66169100828672 | 67075963879424 | 70607324577792 | 73941485879296 | 78198402449408 | 86082074968064 | 89611741167616 | 89902641315840 | 101452303302656 | 117798722338816 | 119285686992896 | 131218926469120 | 153070436614144 | 166401998323712 | 180878235926528 | 203485047947264 | 218203800207360 | 233226975051776 | 246356622966784 | 257309930422272 | 275318191423488 | 292382415257600 | 311963909357568 | 323339566448640 | 359483259748352 | 404268058148864 | 395669231632384 | 473403710504960 | 506969920110592 | 547643864383488 | 582372667949056 | 614889664020480 | 513669599330304 | 508375817256960 | 534681100000000 | 560807300000000 | 589945100000000 | 627454300000000 | 672068300000000 | 724967000000000 | 778107300000000 | 848129100000000 | 921572300000000 | 975258970600000 | 1.057258863E+15 | 1.1470771645E+15 | |
Services, etc., value added (% of GDP) | NV.SRV.TETC.ZS | 33.4951446602 | 37.9032258065 | 31.8665751317 | 32.161846392 | 29.6758767269 | 31.4188656098 | 37.2518415872 | 35.8564208096 | 35.48089945 | 35.1087735086 | 36.3709363687 | 36.4842433729 | 36.40199411 | 35.2150741717 | 34.691889533 | 36.3493354782 | 36.2788728675 | 36.1699623015 | 36.1633176272 | 35.018503315 | 34.3122037264 | 35.4256066201 | 38.1523321302 | 37.2871126109 | 38.1641675172 | 40.944241343 | 42.0369187714 | 40.4157603866 | 40.2506697954 | 39.9967006942 | 41.4714452138 | 41.3414347785 | 41.6777722176 | 42.4397118448 | 42.0716959379 | 41.0608017656 | 39.8719964584 | 39.5789234739 | 36.6889218935 | 37.0272554188 | 38.4726349304 | 38.2548918134 | 40.0806242766 | 41.0650845189 | 41.0366056295 | 40.3323237731 | 40.0826385397 | 39.4841753758 | 37.4575149702 | 37.0577296544 | 37.7065597496 | 38.126023459 | |
Adjusted savings: education expenditure (current US$) | NY.ADJ.AEDU.CD | 649800292.096443 | 606810970.163234 | 683934514.333819 | 695362355.534367 | 763385651.857844 | 737441360.815964 | 1005100339.67974 | 1196709616.01104 | 1276085777.29276 | 2118829692.92594 | 1032368781.52666 | 2881216745.40694 | 3348574761.78147 | 3194744547.70687 | 3840005644.45272 | 5028892249.32544 | 5458929938.86484 | 6058319870.68176 | 7775406983.00464 | 13714154867.8821 | 18791798674.0778 | 19874691801.1963 | 29718447910.8667 | ||||||||||||||||||||||||||||||
Adjusted savings: education expenditure (% of GNI) | NY.ADJ.AEDU.GN.ZS | 0.7673440602 | 0.6262634426 | 0.6262634426 | 0.6262634426 | 0.6262634426 | 0.485182825 | 0.5838543137 | 0.6099815351 | 0.5766930171 | 1.0116644423 | 1.1462677262 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 3.30907 | 3.818605 | 3.818605 | 4.32814 | ||||||||||||||||||||||||||||||
Adjusted savings: carbon dioxide damage (current US$) | NY.ADJ.DCO2.CD | 58274717.5987628 | 66594273.6472456 | 77221316.4791905 | 92402602.7697303 | 105153803.073177 | 121163169.444573 | 146746704.781469 | 208182797.614885 | 253870800.770658 | 278394128.126628 | 302781606.693485 | 349932135.356831 | 390738506.090784 | 404450291.651786 | 448534992.668894 | 499444159.698873 | 512567556.070336 | 534516802.305195 | 592262066.114867 | 609071105.353798 | 722412161.927068 | 898877793.89985 | 1037160732.60487 | 1143934271.07071 | 1183062643.41373 | 1226951530.90909 | 1407883429.10268 | 1576237032.47656 | 1202502870.85849 | 1379138076.72292 | 1530717619.2631 | 1752967639.47771 | 1870345277.41245 | 1963334179.06201 | 2160478399.67399 | 2249836576.37006 | 2335702890.81387 | 2621213743.41748 | 2950336568.87253 | 3027050108.59129 | 3242291216.3605 | ||||||||||||
Adjusted savings: carbon dioxide damage (% of GNI) | NY.ADJ.DCO2.GN.ZS | 0.6009026772 | 0.6756493716 | 0.6738703505 | 0.5476432977 | 0.3972872858 | 0.3866770915 | 0.3777486439 | 0.4374739629 | 0.4767276205 | 0.5278595922 | 0.4047541628 | 0.3913048195 | 0.4335508246 | 0.4939762183 | 0.5436790835 | 0.6033641601 | 0.6743933617 | 0.7433717716 | 0.6993976212 | 0.6285960307 | 0.6614965585 | 0.8095553307 | 0.850862011 | 0.7526256198 | 0.6872311156 | 0.6253963102 | 0.6362554593 | 0.7525960976 | 1.3351723301 | 1.0663074745 | 1.0183233827 | 1.2223297889 | 1.0850270347 | 0.8697061304 | 0.8816435665 | 0.827274062 | 0.6691833128 | 0.632469142 | 0.5995258979 | 0.5815993926 | 0.4722013191 | ||||||||||||
Adjusted savings: net forest depletion (current US$) | NY.ADJ.DFOR.CD | 0 | 0 | 11148733.7396592 | 74891696.2234799 | 54380318.33185 | 0 | 54619896.1307117 | 24052331.7683693 | 56737939.3630667 | 24440575.3814219 | 37333107.2761429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||||
Adjusted savings: net forest depletion (% of GNI) | NY.ADJ.DFOR.GN.ZS | 0 | 0 | 0.0972892131 | 0.4438612578 | 0.2054572297 | 0 | 0.1406000341 | 0.0505434119 | 0.1065445208 | 0.0463414665 | 0.049906369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||||
Adjusted savings: consumption of fixed capital (current US$) | NY.ADJ.DKAP.CD | 600000000 | 607493243.461802 | 718072289.156626 | 1057831325.3012 | 1677108433.73494 | 1978313253.01205 | 2424096385.54217 | 2978313253.01205 | 3354824207.56123 | 3352807126.4173 | 4724158353.61706 | 5559072979.79008 | 5860119289.02743 | 4268306049.2239 | 4380373371.40817 | 4367087640.61393 | 4002931453.85264 | 3796575169.6869 | 4214866349.76805 | 5072709231.76104 | 5721153925.13397 | 6408179347.07604 | 6955938999.72369 | 7900435642.0263 | 8844614138.60928 | 10106732639.4265 | 11368312959.4444 | 10787522174.5399 | 4772309845.02911 | 7000121026.79205 | 7509817950.07316 | 7151746959.91571 | 18943117467.2453 | 23148345620.9241 | 25533079176.0873 | 25973590805.9034 | 34280454041.1295 | 41582817229.2163 | 50174136344.4154 | 53369243249.0059 | 72425255256.2142 | ||||||||||||
Adjusted savings: consumption of fixed capital (% of GNI) | NY.ADJ.DKAP.GN.ZS | 6.1869301336 | 6.1634793158 | 6.2662441828 | 6.269457981 | 6.3363743224 | 6.3135391579 | 6.2399978504 | 6.2586078986 | 6.299808236 | 6.3572152698 | 6.3151879674 | 6.2163254783 | 6.502199068 | 5.2131046125 | 5.3095464546 | 5.275753285 | 5.2667211727 | 5.2800338503 | 4.9773025612 | 5.2353245129 | 5.2387318927 | 5.7713916014 | 5.706487008 | 5.1979125216 | 5.1377617878 | 5.1515590813 | 5.1376065905 | 5.1506511547 | 5.2988281442 | 5.4122799592 | 4.995972557 | 4.9868538099 | 10.9893049279 | 10.2541168542 | 10.419486254 | 9.5505950059 | 9.821415168 | 10.0334620933 | 10.1956822356 | 10.254048775 | 10.5478807381 | ||||||||||||
Adjusted savings: mineral depletion (current US$) | NY.ADJ.DMIN.CD | 15708461.2264574 | 19128561.9477288 | 21677503.0571889 | 60621385.0055586 | 130704739.869086 | 72760971.1658468 | 87100089.4590409 | 127624272.389722 | 143596309.575732 | 225879937.794884 | 263124011.493756 | 188356045.64901 | 130925941.384043 | 137427540.676678 | 142344537.451968 | 137695608.309465 | 95533821.6299987 | 140956476.616045 | 542392080.840178 | 615404640.982911 | 478494039.364984 | 498966240.916631 | 592926610.261079 | 487663663.23472 | 651710301.362069 | 1106460550.35572 | 1102964164.75279 | 991972562.396844 | 976177922.537444 | 980580035.053054 | 1639960176.27371 | 1392019232.85446 | 1623568051.39699 | 2004094084.58548 | 2551229133.76435 | 3911501551.55103 | 6163203961.37432 | 9970335868.84403 | 5528463544.4553 | 6288688527.34592 | 8916533971.68482 | ||||||||||||
Adjusted savings: mineral depletion (% of GNI) | NY.ADJ.DMIN.GN.ZS | 0.1619785869 | 0.1940737567 | 0.1891683184 | 0.359285282 | 0.4938226658 | 0.2322075333 | 0.2242090596 | 0.2681888073 | 0.2696502582 | 0.4282880988 | 0.3517404513 | 0.2106254927 | 0.1452711954 | 0.1678474172 | 0.1725389299 | 0.1663461139 | 0.1256953827 | 0.1960332496 | 0.6405065473 | 0.6351325998 | 0.4381462232 | 0.4493834233 | 0.4864228968 | 0.3208472515 | 0.3785730198 | 0.5639801803 | 0.4984553101 | 0.473630973 | 1.0838774551 | 0.7581545593 | 1.0909979562 | 0.9706434601 | 0.9418663226 | 0.8877617116 | 1.0411003196 | 1.4382750334 | 1.7657696365 | 2.4057289444 | 1.1234165978 | 1.208271187 | 1.2985875797 | ||||||||||||
Adjusted savings: energy depletion (current US$) | NY.ADJ.DNGY.CD | 0 | 291511325.057733 | 384377151.345973 | 770685093.333889 | 3316631750.88543 | 2944160084.29005 | 3787253094.37789 | 4875475270.78305 | 4938066059.11899 | 11864550392.4441 | 14051020238.1482 | 13656240527.0406 | 9598860558.26635 | 8826145788.74555 | 10074403989.0311 | 8104233567.5885 | 4204987468.42609 | 4832726758.85976 | 3470145136.45418 | 5124091566.38897 | 7949474753.24026 | 7288518135.36745 | 6534612690.74584 | 6354596256.36699 | 6243867798.63865 | 6921501445.39346 | 9318733804.71859 | 8543401130.36233 | 4642672041.72693 | 5551622039.57236 | 12438372499.198 | 10720098236.6468 | 8846010353.86391 | 12142960161.1957 | 17307944316.6915 | 24928848095.4046 | 26827086808.1983 | 30077281777.7814 | 52702048833.9092 | 24803810854.9076 | 36394423639.5978 | ||||||||||||
Adjusted savings: energy depletion (% of GNI) | NY.ADJ.DNGY.GN.ZS | 0 | 2.9576033012 | 3.3542599053 | 4.5676259472 | 12.5307462776 | 9.3959184426 | 9.7489733943 | 10.245291696 | 9.2728761046 | 22.4962242324 | 18.7832048156 | 15.2708259515 | 10.6505856106 | 10.7798318095 | 12.2114056147 | 9.790492059 | 5.5325695147 | 6.72104719 | 4.0978671308 | 5.2883540053 | 7.2791551259 | 6.5642501676 | 5.3608409194 | 4.1808625432 | 3.6270101648 | 3.5279971183 | 4.2113538201 | 4.0791646298 | 5.1548876912 | 4.2923447453 | 8.2747368941 | 7.4750355449 | 5.1317585578 | 5.3790164744 | 7.0629901959 | 9.166438861 | 7.6860113047 | 7.2573069045 | 10.7093690539 | 4.7656565997 | 5.3004168052 | ||||||||||||
Adjusted savings: particulate emission damage (current US$) | NY.ADJ.DPEM.CD | 458549512.606183 | 505300425.65485 | 576509174.29182 | 769946571.837286 | 875008925.647036 | 1046781367.30957 | 1214645031.44229 | 1197395612.11151 | 532026983.005812 | 778212943.078216 | 943898107.412063 | 949170004.278075 | 1197189826.20041 | 1754382957.48565 | 1988918819.94012 | 2188135215.16231 | 2737485145.65398 | 3159916723.53364 | 3859309268.74468 | 4038435704.22337 | 5327731513.80416 | ||||||||||||||||||||||||||||||||
Adjusted savings: particulate emission damage (% of GNI) | NY.ADJ.DPEM.GN.ZS | 0.4198834689 | 0.4550881732 | 0.4729544226 | 0.5065688916 | 0.5082853081 | 0.533560771 | 0.5489265066 | 0.5717130396 | 0.5907243332 | 0.6016904993 | 0.6279365322 | 0.6618483678 | 0.6945152549 | 0.7771461576 | 0.8116338872 | 0.8045862205 | 0.7842946916 | 0.7624520602 | 0.7842345443 | 0.7759210018 | 0.7759210018 | ||||||||||||||||||||||||||||||||
Adjusted savings: natural resources depletion (% of GNI) | NY.ADJ.DRES.GN.ZS | 0.1619785869 | 3.1516770579 | 3.6407174368 | 5.370772487 | 13.2300261731 | 9.6281259759 | 10.113782488 | 10.5640239152 | 9.6490708836 | 22.9708537976 | 19.1848516358 | 15.4814514442 | 10.795856806 | 10.9476792267 | 12.3839445447 | 9.9568381728 | 5.6582648974 | 6.9170804396 | 4.7383736781 | 5.9234866051 | 7.7173013491 | 7.0136335909 | 5.8472638162 | 4.5017097947 | 4.0055831845 | 4.0919772986 | 4.7098091303 | 4.5527956028 | 6.2387651463 | 5.0504993046 | 9.3657348504 | 8.445679005 | 6.0736248804 | 6.266778186 | 8.1040905155 | 10.6047138944 | 9.4517809412 | 9.6630358489 | 11.8327856517 | 5.9739277867 | 6.5990043849 | ||||||||||||
Adjusted savings: gross savings (% of GNI) | NY.ADJ.ICTR.GN.ZS | 29.6644519185 | 25.5349238941 | 26.9477013199 | 26.2286509346 | 25.9409644516 | 25.0740513185 | 28.2659640621 | 28.5104388815 | 32.754538378 | 29.4098333301 | 23.1841891481 | 24.4719673032 | 30.1455779724 | 30.6947064352 | 28.9910109782 | 28.5738289567 | 29.9054611853 | 23.7624230856 | 14.2902616295 | 27.3949472332 | 23.6516365907 | 18.9437887589 | 31.0838653231 | 25.7654120546 | 27.3703732798 | 29.1268556054 | 27.1472114459 | 27.3404442218 | 32.2834161445 | 32.884429333 | |||||||||||||||||||||||
Adjusted savings: net national savings (current US$) | NY.ADJ.NNAT.CD | 20968954501.4601 | 17153279484.2261 | 17795520615.5345 | 17258251528.8462 | 17105953103.1815 | 15054410943.2334 | 16527888716.079 | 19928269009.4712 | 26664435009.1218 | 26396959167.8466 | 19334042345.3594 | 22874236995.5256 | 37918572983.9796 | 43996067412.6002 | 46770106445.5072 | 51858838498.644 | 51846466419.1745 | 16628958991.6761 | 11482581580.0392 | 33669564868.1373 | 26767538933.1605 | 13711760897.6929 | 47022500680.4449 | 37605379857.1658 | 48462282072.6687 | 67383289713.3255 | 70926456373.2347 | 84371364820.5727 | 114656238874.006 | 153370167306.45 | |||||||||||||||||||||||
Adjusted savings: net national savings (% of GNI) | NY.ADJ.NNAT.GN.ZS | 23.4481264402 | 19.0327248261 | 21.7345967073 | 20.91910448 | 20.6652111667 | 19.8073301458 | 22.9859302119 | 23.5331363203 | 27.5192138652 | 24.1711014374 | 17.4127975467 | 18.7654802952 | 24.9476654508 | 25.5569446474 | 23.8394518969 | 23.4362223662 | 24.7548100305 | 18.4635949414 | 8.8779816703 | 22.3989746762 | 18.6647827808 | 7.9544838311 | 20.8297484689 | 15.3459258006 | 17.8197782739 | 19.3054404374 | 17.1137493525 | 17.1447619863 | 22.0293673696 | 22.3365485949 | |||||||||||||||||||||||
Adjusted net national income (current US$) | NY.ADJ.NNTY.CD | 9082154405.1845 | 8938203077.27952 | 10324097245.4572 | 14908742094.0058 | 21289125487.357 | 26339223331.6285 | 32494642403.0974 | 39582006419.5745 | 44759574329.4948 | 37272507475.9137 | 55730662661.4105 | 70023323921.5508 | 74535284592.3591 | 68644590910.3989 | 67902831890.2189 | 70167553745.6467 | 67700788274.0573 | 63134113372.4214 | 76454335144.8995 | 86081678011.7061 | 95059633185.3398 | 96837857992.8399 | 107811813670.11 | 137249774670.603 | 156408975119.524 | 178053148305.565 | 199486428969.685 | 189117072992.068 | 79672335650.0783 | 115805425122.342 | 128729287358.995 | 124148139061.552 | 142965062243.672 | 188451448448.173 | 199658976903.334 | 217143888246.545 | 281767081763.18 | 332810929854.494 | 383706964656.395 | 436008214360.793 | 568897027066.209 | ||||||||||||
Adjusted net national income (constant 2000 US$) | NY.ADJ.NNTY.KD | 16745104375.8318 | 17188207470.7317 | 17030643762.0442 | 18241580150.9346 | 21132575352.5328 | 24210277998.7055 | 24773129212.4713 | 26688476619.5431 | 31155443281.05 | 30346948846.0626 | 38248301184.7184 | 50614391431.7691 | 53373500552.2939 | 56459307678.3455 | 58383254652.7425 | 64296647787.241 | 67490021521.6975 | 68722471510.3903 | 72063837967.6458 | 78759035077.5609 | 87560558053.6552 | 85709000637.5248 | 93669677190.9197 | 112109725841.697 | 123880776498.941 | 136057990839.991 | 146565745508.654 | 157482978474.235 | 134051035327.073 | 129350361548.49 | 128729287358.995 | 131036082735.401 | 126042600529.13 | 144677062961.738 | 147091741305.81 | 150261870163.527 | 162364016984.837 | 169551146566.492 | 169978859035.236 | 193006544240.542 | 201100384788.784 | ||||||||||||
Adjusted net national income (annual % growth) | NY.ADJ.NNTY.KD.ZG | 2.6461650221 | -0.9166965721 | 7.1103383161 | 15.8483814323 | 14.5637840861 | 2.3248440757 | 7.7315521614 | 16.7374358799 | -2.5950342856 | 26.0367273782 | 32.3310836404 | 5.4512344068 | 5.7815340836 | 3.4076701495 | 10.1285773972 | 4.9666255464 | 1.8261217894 | 4.8621162537 | 9.2906474297 | 11.1752549627 | -2.1146021191 | 9.2880286716 | 19.6862519481 | 10.4995802718 | 9.8297852865 | 7.7229970866 | 7.4486933681 | -14.8790322447 | -3.506629969 | -0.4801487851 | 1.7919740129 | -3.8107688371 | 14.7842573498 | 1.6690125543 | 2.1552052002 | 8.0540371341 | 4.4265531952 | 0.2522616198 | 13.5473819133 | 4.1935575709 | |||||||||||||
Adjusted net savings, including particulate emission damage (current US$) | NY.ADJ.SVNG.CD | 17471963215.042 | 10837742105.0549 | 14896413439.4798 | 29899873582.2859 | 36047518083.2185 | 37665121167.5504 | 40090697845.9204 | 41656289774.7532 | 10307947955.0741 | 5674245231.01954 | 20465191227.7719 | 15148028367.6104 | 4014653033.27187 | 34186621547.4416 | 19055739125.9607 | 21242280504.8625 | 37095217890.2896 | 38112470582.3292 | 37943878843.1901 | 96372945480.1343 | 129207634875.869 | ||||||||||||||||||||||||||||||||
Adjusted net savings, including particulate emission damage (% of GNI) | NY.ADJ.SVNG.GN.ZS | 15.9986835035 | 9.7607838944 | 12.220663488 | 19.6719439697 | 20.9396993528 | 19.1984990522 | 18.1179242871 | 19.8893697328 | 11.445200858 | 4.3871532549 | 13.6146487741 | 10.5625944822 | 2.3289855241 | 15.143786858 | 7.7762266945 | 7.8108729601 | 10.6278503549 | 9.3430798174 | 7.7551344348 | 18.5165241885 | 18.8175618891 | ||||||||||||||||||||||||||||||||
Adjusted net savings, excluding particulate emission damage (current US$) | NY.ADJ.SVNX.CD | 15973270018.1584 | 20922678666.5593 | 17930512727.6481 | 11343042530.7098 | 15472922613.7717 | 30669820154.1231 | 36922527008.8655 | 38711902534.86 | 41305342877.3627 | 42853685386.8647 | 10839974938.0799 | 6452458174.09776 | 21409089335.184 | 16097198371.8884 | 5211842859.47228 | 35941004504.9273 | 21044657945.9008 | 23430415720.0248 | 39832703035.9436 | 41971779851.0739 | 41982314547.4134 | 100411381184.358 | 134535366389.673 | ||||||||||||||||||||||||||||||
Adjusted net savings, excluding particulate emission damage (% of GNI) | NY.ADJ.SVNX.GN.ZS | 18.8627090812 | 21.593394672 | 16.4185669724 | 10.2158720676 | 12.6936179106 | 20.1785128614 | 21.4479846609 | 19.7320598232 | 18.6668507936 | 20.4610827724 | 12.0359251912 | 4.9888437542 | 14.2425853063 | 11.22444285 | 3.023500779 | 15.9209330156 | 8.5878605818 | 8.6154591806 | 11.4121450466 | 10.1273143617 | 8.5310554366 | 19.2924451902 | 19.5934828909 | ||||||||||||||||||||||||||||||
Exports as a capacity to import (constant LCU) | NY.EXP.CAPM.KN | 24845279833712.7 | 21979566540635.3 | 29539716884035.4 | 21834218356344.7 | 23023905231652 | 19393934999574.8 | 11656530007081.1 | 13475695026306.8 | 19336206886640.3 | 20424419375883 | 30437897436401.1 | 41599869936344.4 | 55001348773389 | 76684361546606.7 | 130673971256522 | 114425838632439 | 133318707381632 | 158149813061715 | 160042190602086 | 207216294355618 | 283787079972126 | 271417976229546 | 239476915501942 | 209461850237111 | 237459598960157 | 234180415716592 | 213741407919900 | 244861661571924 | 210025430313914 | 235817222124710 | 273201036301519 | 317091289630669 | 359843333850443 | 377587964465537 | 421749341137761 | 464463599933572 | 509374061192263 | 592407941704227 | 694443893814987 | 435213637034034 | 569490300000000 | 559591651806393 | 523004318288474 | 564898386494253 | 635318240821072 | 728355874898727 | 841329110389648 | 878156882636817 | 863923846273033 | 801640529285624 | 892258352977092 | 995611441380290 | |
Coal rents (% of GDP) | NY.GDP.COAL.RT.ZS | 0 | 0.0016530071 | 0.0008477605 | 0 | 0.004142363 | 0.0083826972 | 0.0067157255 | 0.0067886564 | 0.0071893106 | 0.0057626122 | 0.0068745196 | 0.0117533889 | 0.0152054137 | 0.0106287788 | 0.021138569 | 0.0398287573 | 0.0380665536 | 0.0164436644 | 0.0333639193 | 0.0858334618 | 0.0915946163 | 0.106142638 | 0.140441237 | 0.065557065 | 0.0581163623 | 0.1110894968 | 0.106030425 | 0.1257551957 | 0.161739574 | 0.0462519227 | 0.0745379639 | 0.69394096 | 0.3204795464 | 0.2528946639 | 1.664392782 | 1.4027705566 | 1.5553332805 | 2.2413330617 | 4.7599984778 | 2.4195273712 | 3.3665201969 | ||||||||||||
Inflation, GDP deflator (annual %) | NY.GDP.DEFL.KD.ZG | 13.4616140026 | 178.7494266202 | 145.8513982752 | 114.9096870253 | 229.2410191955 | 1195.4094456348 | 165.3905375177 | 120.7456949328 | 20.6269971589 | 13.616039416 | 2.744197695 | 15.2101708039 | 34.7856975789 | 46.472290005 | 11.1950480317 | 15.4246828919 | 13.272847313 | 9.4341552967 | 33.6114534255 | 30.9904391736 | 10.4391901721 | 6.0613047865 | 14.2518651694 | 8.0479288077 | 4.2854263957 | -0.0968958838 | 15.4378274403 | 12.7453472786 | 9.9931654086 | 7.7239105364 | 8.8277302356 | 5.3643161967 | 8.8801054815 | 7.7763777301 | 9.7032768606 | 8.8535912912 | 12.571308928 | 75.2712840493 | 14.1611925581 | 20.4474593035 | 14.2957154363 | 5.8960516932 | 5.4874270425 | 8.550732687 | 14.3317858598 | 14.0874219613 | 11.2585785122 | 18.1497524726 | 8.274750092 | 8.1085199788 | 8.3951915743 | ||
GDP deflator (base year varies by country) | NY.GDP.DEFL.ZS | 0.000265169 | 0.000300865 | 0.0008386594 | 0.0020618558 | 0.0044311279 | 0.0145890907 | 0.1889884585 | 0.501557486 | 1.1071665579 | 1.3355417723 | 1.5173896665 | 1.5590298387 | 1.7961609401 | 2.4209680527 | 3.5460473471 | 3.9430290508 | 4.5512287783 | 5.1553064249 | 5.641666039 | 7.5379119921 | 9.873944023 | 10.9047038171 | 11.5656711515 | 13.2139950099 | 14.277447921 | 14.8892974428 | 14.8748703265 | 17.1712271394 | 19.3597596703 | 21.2944124769 | 22.9391738459 | 24.9641822313 | 26.3033399021 | 28.6391042305 | 30.866189154 | 33.861220944 | 36.8591550526 | 41.4928333025 | 72.7250217177 | 83.023752081 | 100 | 114.2957154363 | 121.0346499015 | 127.676338011 | 138.5936003788 | 158.4565384005 | 180.7789795903 | 201.132122941 | 237.6371053976 | 257.3009819952 | 278.1642835259 | 301.5167080193 | |
Discrepancy in expenditure estimate of GDP (current LCU) | NY.GDP.DISC.CN | -5981264 | -5126800 | -7903808 | -33217136 | -99758816 | -46000128 | -1481748480 | -2735480832 | -8379285504 | -9015328768 | -15765995520 | -19376537600 | -28012937216 | -49855528960 | -111957508096 | -106515660800 | -133135859712 | -165932826624 | -182882664448 | 274132172800 | -434081366016 | 1149992304640 | -674590359552 | -101187584 | -576998604800 | 85800779776 | -1313998635008 | 1459595771904 | -14680064 | 3601792499712 | 4382709514240 | 5266706792448 | 5828606164992 | 11534336 | 11534336 | 22020096 | 3670016 | -35651584 | -8388608 | -25165826 | -13144500000000 | -13986300000000 | -46995000000000 | -185355200000000 | -87673255000000 | -47162978639999.5 | -70415688129570 | -33646994000000 | 103108548952660 | -116790942440001 | 6296120430000 | 167536361110001 | |
Discrepancy in expenditure estimate of GDP (constant LCU) | NY.GDP.DISC.KN | -129031159808 | -128351379456 | -140504055808 | -156029485056 | -163119235072 | -163412000768 | -169853124608 | -167023427584 | -176174219264 | -209095294976 | -230246531072 | -235647631360 | -241618075648 | -277049081856 | -293004640256 | -302349549568 | -422095028224 | -433357914112 | -472694620160 | -501109030912 | -534268084224 | -543535169536 | -551025246208 | -6257031774208 | -547845406720 | -3490413805568 | -3957952610304 | -1357766459392 | -798846681088 | -861375889408 | 965208506368 | -1064045576192 | -1147259060224 | -1077422522368 | 0 | -13144499999999.8 | -11767199999999.8 | 9546600000000.13 | -26895750000000 | 8757217000000 | -8535387620000.25 | 16237878890120.6 | 54186838950790 | 27039831135930 | 2205256500000 | 1628388700000 | -11475918270000.3 | ||||||
Gross value added at factor cost (current US$) | NY.GDP.FCST.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross value added at factor cost (current LCU) | NY.GDP.FCST.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross value added at factor cost (constant 2000 US$) | NY.GDP.FCST.KD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross value added at factor cost (constant LCU) | NY.GDP.FCST.KN | 724776268070912 | 783092461600768 | 858768912941056 | 938475318673408 | 1.00283298768486E+15 | 1.07524969306522E+15 | 1.15822866255053E+15 | 1.25798169391923E+15 | 1.36328905752576E+15 | 1.41839321949798E+15 | 1.30471925959885E+15 | 1.30003237653709E+15 | |||||||||||||||||||||||||||||||||||||||||
Forest rents (% of GDP) | NY.GDP.FRST.RT.ZS | 11.7674050334 | 12.24720849 | 11.3593304034 | 9.7453947343 | 7.3756274895 | 5.9959108768 | 5.2749637799 | 4.5878929375 | 4.652705271 | 5.5769302042 | 4.6753110296 | 3.3933271406 | 3.0932119053 | 3.3204345084 | 2.9848874494 | 2.7043909426 | 3.0976018246 | 4.0927777321 | 3.7359043993 | 3.3123003311 | 3.0578826029 | 2.7638484845 | 2.6632304319 | 2.9458383914 | 2.5043118196 | 2.1840330195 | 1.9516806528 | 1.8836225405 | 3.6414585332 | 2.5536196705 | 2.156036673 | 1.8425759063 | 1.6899107165 | 1.3940010188 | 1.438941911 | 1.3438330889 | 1.0346239576 | 0.9043080159 | 0.9706427986 | 0.7179338358 | 0.6531600752 | ||||||||||||
Mineral rents (% of GDP) | NY.GDP.MINR.RT.ZS | 0.2603180354 | 0.3108036683 | 0.2989249048 | 0.5648047674 | 0.7522982784 | 0.361948676 | 0.3543466383 | 0.4047680878 | 0.4018819626 | 0.622148751 | 0.511160513 | 0.314850045 | 0.2156438293 | 0.2507882581 | 0.2536809313 | 0.2485070843 | 0.1874912527 | 0.2914151532 | 0.9733307928 | 0.9663016821 | 0.6611390958 | 0.6132278741 | 0.6641199901 | 0.4737854244 | 0.575568906 | 0.8589778042 | 0.7316714691 | 0.720955194 | 1.5864340251 | 1.0721263136 | 1.4400837307 | 1.328741039 | 1.2629807955 | 1.2790426095 | 1.5600127614 | 2.0736626444 | 2.5900400922 | 3.344748746 | 1.6474061896 | 1.8134603855 | 1.9448874367 | ||||||||||||
GDP (current US$) | NY.GDP.MKTP.CD | 5980840376.72106 | 7467363478.84782 | 8798957442.35583 | 9656740013.93973 | 9849117952.81548 | 11605084559.7301 | 17171181163.3349 | 27227710999.441 | 32147953007.653 | 39328674729.6386 | 48396143465.4843 | 54298158339.5256 | 55122620334.4537 | 78013206037.5695 | 92473878831.719 | 94715163814.2593 | 85369201879.0977 | 87612439197.276 | 87338874330.0743 | 80060657611.8902 | 75929617715.0119 | 88787623309.6593 | 101455197785.783 | 114426498044.996 | 128167999846.519 | 139116270052.446 | 158006849878.9 | 176892148243.49 | 202132032844.159 | 227369671349.349 | 215748854646.704 | 95445548017.3549 | 140001352527.221 | 165021012261.509 | 160446947638.313 | 195660611033.849 | 234772458818.096 | 256836883304.553 | 285868610016.591 | 364570525997.054 | 432216737774.861 | 510244548959.967 | 539579959052.699 | 708026840494.953 | 846832282925.207 | ||||||||
GDP (current LCU) | NY.GDP.MKTP.CN | 412000000 | 496000000 | 1409000064 | 3386000128 | 7528000000 | 25020000256 | 333350010880 | 894632001536 | 2212520001536 | 2868460126208 | 3524710105088 | 3874840117248 | 4816110092288 | 7126040182784 | 11299500064768 | 13341400498176 | 16321400012800 | 20084399538176 | 24002500231168 | 34344699691008 | 48913499291648 | 58421298593792 | 62646502031360 | 77622801334272 | 89885100736512 | 96996803215360 | 102682601717760 | 124816900227072 | 149669292277760 | 179581793337344 | 210866301566976 | 249968606576640 | 282394905018368 | 329776111812608 | 382219709317120 | 454514108792832 | 532567992303616 | 627695377448960 | 955753502343168 | 1.09973161063219E+15 | 1.3897699E+15 | 1.646322E+15 | 1.8218334E+15 | 2.01367456E+15 | 2.295826274E+15 | 2.77428115971E+15 | 3.33921680000001E+15 | 3.9508932E+15 | 4.94868839721607E+15 | 5.60620339976E+15 | 6.43627079173E+15 | 7.42708608191E+15 | |
GDP (constant 2000 US$) | NY.GDP.MKTP.KD | 18448917543.0937 | 19575208345.7326 | 19949028313.5138 | 19499569411.57 | 20172590380.1612 | 20363640992.5818 | 20944091970.0574 | 21179712359.7706 | 23728516741.3444 | 25502789513.2991 | 27581801389.1735 | 29511800441.052 | 31838126471.1194 | 34950673891.039 | 37836507705.0596 | 40176101277.1092 | 42581905063.171 | 46259476456.7959 | 50517919165.938 | 54100964303.248 | 58821272858.9985 | 63614142518.2266 | 64316489535.6947 | 69751173550.1278 | 74753833726.7956 | 77353427294.9816 | 81967185137.4495 | 86311448523.5578 | 91797126913.3154 | 100136633662.216 | 109150506063.016 | 118895240735.93 | 127480073499.85 | 136727574166.942 | 147036924428.259 | 159382671061.234 | 171563947984.591 | 179627234868.464 | 156048063635.727 | 157282606425.05 | 165021012261.509 | 171033497474.112 | 178729107603.082 | 187273018674.386 | 196694488176.924 | 207891462167.108 | 219327471266.474 | 233243848106.738 | 247270439237.57 | 258716276502.157 | 274744677419.886 | 292484879998.349 | |
GDP growth (annual %) | NY.GDP.MKTP.KD.ZG | 6.1049153697 | 1.9096602252 | -2.2530365634 | 3.4514657959 | 0.9470802154 | 2.8504282593 | 1.1249969206 | 12.0341784547 | 7.4773859289 | 8.1520959689 | 6.9973640396 | 7.8826977524 | 9.7761638793 | 8.2568760277 | 6.1834289525 | 5.9881464592 | 8.6364651562 | 9.2055575102 | 7.0926221754 | 8.7249989285 | 8.1481909967 | 1.1040737007 | 8.4499077199 | 7.1721519826 | 3.4775387944 | 5.9645163813 | 5.3000031401 | 6.3556787467 | 9.0847143362 | 9.0015732217 | 8.9277961453 | 7.2205016036 | 7.2540754121 | 7.5400666794 | 8.3963580447 | 7.6427862843 | 4.6998725423 | -13.1267239347 | 0.7911298356 | 4.9200645973 | 3.6434664472 | 4.4994753909 | 4.7803691217 | 5.030873945 | 5.6925713038 | 5.5009517852 | 6.3450222445 | 6.0137025026 | 4.6288740781 | 6.195358535 | 6.4569777093 | ||
GDP (constant LCU) | NY.GDP.MKTP.KN | 155372639748096 | 164858007912448 | 168006235717632 | 164220993798144 | 169889025228800 | 171498010574848 | 176386438332416 | 178370780332032 | 199836238348288 | 214778765115392 | 232287736168448 | 248541754687488 | 268133549998080 | 294346725261312 | 318650569457664 | 338354101026816 | 358615240146944 | 389586920407040 | 425450568417280 | 455626169778176 | 495379548209152 | 535744019955712 | 541659028783104 | 587428716871680 | 629559997235200 | 651453190373376 | 690309222629376 | 726895633104896 | 773094784368640 | 843328237076480 | 919241045835776 | 1.00130901249229E+15 | 1.0736085457961E+15 | 1.15148891933901E+15 | 1.2383119516631E+15 | 1.34228505683558E+15 | 1.4448730350551E+15 | 1.51278022610125E+15 | 1.31420174208205E+15 | 1.32459878416384E+15 | 1.3897699E+15 | 1.4404057E+15 | 1.5052164E+15 | 1.5771713E+15 | 1.6565168E+15 | 1.7508152E+15 | 1.8471267E+15 | 1.9643273E+15 | 2.0824561E+15 | 2.1788503706E+15 | 2.313837963E+15 | 2.4632419645E+15 | |
GDP, PPP (current international $) | NY.GDP.MKTP.PP.CD | 95260765910.6902 | 112678457848.201 | 120863560278.619 | 136261185665.017 | 151518641179.849 | 161575991315.664 | 175041495845.763 | 189719111640.278 | 208803662981.149 | 236347174940.803 | 267392663431.6 | 301163163062.605 | 329710174248.861 | 361380479249.934 | 396541394876.247 | 439836359249.31 | 481835659669.509 | 514206552882.774 | 452983646733.031 | 463261956465.078 | 496571644068.446 | 526331987733.815 | 558945755989.399 | 598002302512.926 | 645745309096.58 | 705158950677.644 | 767949074854.384 | 840351951108.31 | 910588847615.036 | 965280832187.438 | 1032323803217.66 | 1123469344628.88 | |||||||||||||||||||||
GDP, PPP (constant 2005 international $) | NY.GDP.MKTP.PP.KD | 199519242466.213 | 215776451417.484 | 218158782469.883 | 236592998271.404 | 253561807687.638 | 262379517917.878 | 278029187245.136 | 292764742899.428 | 311371929441.639 | 339659179754.481 | 370233849524.139 | 403287572870.701 | 432406958536.874 | 463774085396.352 | 498742960677.024 | 540619205378.42 | 581937575857.165 | 609287900198.403 | 529308359571.764 | 533495875926.743 | 559744217646.371 | 580138310406.545 | 606241490916.22 | 635222071950.766 | 667179293661.54 | 705158950677.644 | 743949404563.462 | 791153159771.202 | 838730757140.021 | 877554547742.041 | 931922198314.92 | 992096206928.04 | |||||||||||||||||||||
Natural gas rents (% of GDP) | NY.GDP.NGAS.RT.ZS | 0 | 0.0313760199 | 0.0327602548 | 0.0338235654 | 0.0800022828 | 0.0790562808 | 0.1564250715 | 0.4434672848 | 1.0581402894 | 1.9888083231 | 1.9445990373 | 1.8135667442 | 1.7566834989 | 1.9526616496 | 2.6110203496 | 2.349294794 | 2.3863194887 | 1.6798910142 | 1.365947041 | 1.0618891709 | 1.8418623051 | 1.8688231343 | 1.4845999622 | 1.7894920143 | 1.5237553753 | 1.3858700903 | 1.9547654014 | 1.9037652161 | 2.8297116481 | 1.5160336257 | 4.2609979682 | 3.9415416087 | 2.2997207899 | 3.851684119 | 3.676242037 | 5.5981976514 | 4.0670950924 | 3.1883806866 | 4.2286973444 | 1.3359361568 | 0.9308559871 | ||||||||||||
GDP per capita (current US$) | NY.GDP.PCAP.CD | 54.5633625015 | 66.3995774646 | 76.2613015727 | 81.5866682421 | 81.1256279825 | 93.2077330044 | 134.504721479 | 208.0620132818 | 239.7205997269 | 286.2722427918 | 343.9961160702 | 377.0005894707 | 373.9568778778 | 517.2601994306 | 599.4076920163 | 600.3809610076 | 529.4355778174 | 531.9293186298 | 519.5056225257 | 466.9012814392 | 434.461042727 | 498.7878177107 | 559.9138265067 | 620.7161311267 | 683.7384322077 | 730.2214454984 | 816.4646469955 | 900.2674296864 | 1013.699544634 | 1124.161969707 | 1052.1077047556 | 459.2276532269 | 664.7397402269 | 773.3109699417 | 742.1107816498 | 893.3199025325 | 1058.2999838513 | 1143.4969506944 | 1257.6533962475 | 1585.650791352 | 1859.3026388732 | 2171.704800224 | 2272.7338490967 | 2951.699148509 | 3494.6045738883 | ||||||||
GDP per capita (constant 2000 US$) | NY.GDP.PCAP.KD | 200.6481494184 | 207.7479243522 | 206.549652472 | 196.9290847915 | 198.6687943542 | 195.5284399284 | 196.0326509934 | 193.2230673904 | 210.9932762683 | 221.0348140402 | 233.0297052846 | 243.0840360675 | 255.7120179699 | 273.7744487406 | 289.1297020461 | 299.5848317479 | 309.9524087343 | 328.8088490755 | 350.7537987808 | 367.0258702919 | 390.0096518935 | 412.3413749718 | 407.6896902359 | 432.5769956741 | 453.8597053521 | 460.1105831695 | 478.0198529241 | 493.8647533506 | 515.6944954536 | 552.636897379 | 592.096070329 | 634.2710005235 | 669.1430377497 | 706.5088042849 | 748.3235142908 | 799.3099302666 | 848.2471059244 | 875.9592170189 | 750.8111959397 | 746.7927777117 | 773.3109699417 | 791.0764546605 | 816.0164079018 | 844.1834857318 | 875.7291575681 | 914.5999045861 | 953.9355312056 | 1003.3644335904 | 1052.4333889314 | 1089.724014122 | 1145.3854345843 | 1206.9910654619 | |
GDP per capita growth (annual %) | NY.GDP.PCAP.KD.ZG | 3.5384203414 | -0.5767912647 | -4.6577506015 | 0.8834193103 | -1.5806983859 | 0.2578709599 | -1.4332222661 | 9.1967326251 | 4.7591742967 | 5.4266977338 | 4.3146133539 | 5.1949038311 | 7.0635830549 | 5.608724034 | 3.616069061 | 3.4606481663 | 6.083656655 | 6.6740751555 | 4.6391718543 | 6.2621693624 | 5.7259411325 | -1.1281149597 | 6.1044726012 | 4.9199818508 | 1.3772709372 | 3.8923837898 | 3.3146950549 | 4.4201862868 | 7.1636215339 | 7.14016258 | 7.1229876886 | 5.4979712453 | 5.5841224413 | 5.9184980785 | 6.8134189294 | 6.1224280851 | 3.2669856344 | -14.2869689191 | -0.5352102166 | 3.5509438524 | 2.2973273895 | 3.1526602889 | 3.4517783659 | 3.7368264565 | 4.4386722404 | 4.300856191 | 5.1815768223 | 4.8904419669 | 3.543276523 | 5.1078456326 | 5.3785938792 | ||
GDP per capita (constant LCU) | NY.GDP.PCAP.KN | 1689813.64694651 | 1749606.3567625 | 1739514.78013056 | 1658492.51999499 | 1673143.96317695 | 1646696.60355666 | 1650942.95589485 | 1627281.27384988 | 1776937.98166339 | 1861505.55735487 | 1962523.83725052 | 2047199.15280693 | 2153549.18002594 | 2305666.91498571 | 2434985.40939073 | 2523036.16341918 | 2610349.56814376 | 2769154.27336388 | 2953969.71074034 | 3091009.44214667 | 3284573.68842269 | 3472646.4442741 | 3433471.00024001 | 3643066.29671824 | 3822304.4973308 | 3874947.98630284 | 4025775.83358632 | 4159218.02606478 | 4343063.21089217 | 4654183.82229783 | 4986500.11398285 | 5341687.90319586 | 5635372.36812844 | 5950058.46118655 | 6302212.55688032 | 6731608.70020176 | 7143746.60184311 | 7377131.77708108 | 6323163.25297079 | 6289321.0372286 | 6512651.295955 | 6662268.21796256 | 6872306.90241332 | 7109523.70530849 | 7375194.26805982 | 7702554.96871084 | 8033830.78095044 | 8450109.89464047 | 8863357.61517477 | 9177410.88470609 | 9646178.8657623 | 10165007.6518111 | |
1 | 1.0353842034 | 1.0294121978 | 0.9814647449 | 0.990135194 | 0.974484143 | 0.9769970546 | 0.9629945153 | 1.051558546 | 1.1016040501 | 1.1613847721 | 1.2114940346 | 1.2744299846 | 1.364450405 | 1.4409786628 | 1.4930854464 | 1.5447558805 | 1.6387335245 | 1.7481038315 | 1.8292013724 | 1.9437490604 | 2.0550469873 | 2.0318636948 | 2.1558982574 | 2.2619680603 | 2.293121489 | 2.3823785782 | 2.4613471631 | 2.5701432929 | 2.7542586312 | 2.9509171754 | 3.1611106425 | 3.3349075967 | 3.5211329202 | 3.7295311044 | 3.9836396826 | 4.2275351574 | 4.3656481236 | 3.7419293331 | 3.721902145 | 3.8540648004 | 3.9426052867 | 4.0669022379 | 4.2072826895 | 4.3645015422 | 4.5582274605 | 4.7542702685 | 5.0006164348 | 5.2451686795 | 5.4310195099 | 5.7084276028 | 6.0154607404 | 0 | ||
GDP per capita, PPP (current international $) | NY.GDP.PCAP.PP.CD | 631.6187383601 | 730.3720273447 | 766.1305492031 | 845.0532273783 | 919.9288171971 | 961.0798925164 | 1020.8147316453 | 1085.5521935834 | 1173.009474813 | 1304.3595004818 | 1450.4939185647 | 1606.6165438934 | 1730.6490459007 | 1867.3518625807 | 2018.1410304209 | 2205.7954437545 | 2382.2936499605 | 2507.5483112515 | 2179.489995715 | 2199.6118397336 | 2327.0024493097 | 2434.4286293619 | 2551.9565007135 | 2695.6561697164 | 2875.0068229164 | 3102.283770025 | 3340.0918928667 | 3615.0117839531 | 3875.6517348922 | 4065.8041211319 | 4303.6635289321 | 4636.1967883435 | |||||||||||||||||||||
GDP per capita, PPP (constant 2005 international $) | NY.GDP.PCAP.PP.KD | 1322.8960632462 | 1398.6443130713 | 1382.865997343 | 1467.2826732615 | 1539.4727144865 | 1560.6754247689 | 1621.4229020145 | 1675.1681267671 | 1749.2136785878 | 1874.5207263407 | 2008.3645537976 | 2151.4201137076 | 2269.7045729254 | 2396.4476553327 | 2538.2813637654 | 2711.2251066856 | 2877.2179140681 | 2971.2162099902 | 2546.7194735506 | 2533.08917074 | 2623.0377449231 | 2683.2975094753 | 2767.8927644908 | 2863.4342881266 | 2970.4358581699 | 3102.283770025 | 3235.7085336115 | 3403.3692570269 | 3569.8090554602 | 3696.2972616396 | 3885.0984198845 | 4094.0620856966 | |||||||||||||||||||||
Oil rents (% of GDP) | NY.GDP.PETR.RT.ZS | 0 | 4.7030475612 | 5.2665868076 | 7.1487145846 | 19.4081333675 | 14.5661100803 | 15.2455436161 | 14.8513305662 | 12.7038650836 | 30.3481160526 | 24.7761397738 | 19.6573118061 | 13.6434001506 | 13.2840356072 | 13.8842724999 | 11.2040492354 | 5.2367468706 | 7.456062479 | 4.3029332704 | 5.2725062566 | 7.0103528151 | 5.4377134079 | 4.4866749985 | 3.4462095106 | 3.0409614346 | 2.9706121304 | 3.3311964292 | 3.2070279514 | 3.6052086141 | 3.6838129424 | 5.8980072569 | 4.5294276031 | 3.4912526888 | 3.222213751 | 3.8813120103 | 5.1179754034 | 4.5854834627 | 4.0252828022 | 4.8499713061 | 2.3585656976 | 2.4224112784 | ||||||||||||
Total natural resources rents (% of GDP) | NY.GDP.TOTL.RT.ZS | 12.0277230688 | 17.2924357394 | 16.9576023707 | 17.4927376517 | 27.6160614181 | 21.0030259138 | 21.0312791059 | 20.2874588763 | 18.8165926066 | 38.536003331 | 31.9072103537 | 25.1790557359 | 18.7089393841 | 18.8079200233 | 19.7338612302 | 16.5062420562 | 10.9081594367 | 13.5201463784 | 10.3781155035 | 10.6129974407 | 12.5712368189 | 10.6836129009 | 9.2986253827 | 8.6553253406 | 7.6445975355 | 7.3994930444 | 7.9693139525 | 7.7153709019 | 11.6628128205 | 8.8255925522 | 13.7551256288 | 11.6422861571 | 8.7438649907 | 9.7469414983 | 10.5565087197 | 14.1336687881 | 12.2772426049 | 11.4627202506 | 11.6967176387 | 6.2258960757 | 5.9513147772 | ||||||||||||
Gross domestic savings (current US$) | NY.GDS.TOTL.CD | 153590409.977595 | 515735699.638145 | 794562786.159509 | 1382139696.39452 | 1708686810.26945 | 2695113202.42892 | 3986787019.56627 | 7856621178.13976 | 8567340305.88916 | 10662085634.4675 | 14051090214.8626 | 14711871567.407 | 18099329506.5191 | 29673807784.2506 | 29324912838.9387 | 27469372206.4759 | 25442558254.8111 | 26584110309.4203 | 25947344511.7111 | 22854758991.0101 | 24092709823.1936 | 27995019956.9367 | 35959458575.8271 | 36917855234.8969 | 42614699822.755 | 46480154076.8539 | 51296388272.6746 | 56964662436.5651 | 61840028988.3513 | 68383382908.8363 | 67908874381.0514 | 25316970051.2936 | 27232706910.293 | 54066557095.179 | 49434230040.4202 | 54197693719.5453 | 77327747453.4851 | 73785280860.7791 | 83553702167.8351 | 112333377568.166 | 125180646646.975 | 147314812485.788 | 182331137619.659 | 242521809374.691 | 289466428112.636 | ||||||||
Gross domestic savings (current LCU) | NY.GDS.TOTL.CN | 50981260 | 48126796 | 101903800 | 367217312 | 1161758848 | 1974000128 | -7510243328 | 22974513152 | 152808357888 | 259027468288 | 504480989184 | 672231587840 | 1118471979008 | 1654516613120 | 3260497788928 | 3555446226944 | 4424765538304 | 5831202439168 | 6503382646784 | 11276968198144 | 18605180452864 | 18526307221504 | 18168791695360 | 23133900767232 | 27273700573184 | 28816600727552 | 29312601030656 | 39604800454656 | 47191203774464 | 63650401353728 | 68032594968576 | 83112299069440 | 94350996406272 | 107060696973312 | 123086394359808 | 139053495222272 | 160174401126400 | 197572712988672 | 253514001416192 | 213916995026944 | 455336400000000 | 507237200000000 | 504645100000000 | 663250360000000 | 659555529000000 | 810867138350000 | 1.02889694812958E+15 | 1.144276291E+15 | 1.42875627926341E+15 | 1.89440958E+15 | 2.20462834E+15 | 2.53874601E+15 | |
Gross domestic savings (constant LCU) | NY.GDS.TOTL.KN | 20951460741120 | 16708928536576 | 23770370670592 | 18228394852352 | 19760322445312 | 18299263909888 | 12803873177600 | 5393260478464 | 13706940383232 | 14455408689152 | 29868253249536 | 37876041515008 | 53692136947712 | 66975074091008 | 113823193235456 | 93973968322560 | 101011716833280 | 136111624028160 | 135416535580672 | 198374221414400 | 300759547641856 | 244945843650560 | 216664893292544 | 198802359189504 | 247485259841536 | 248520900608000 | 234846966251520 | 272821154480128 | 301670818906112 | 345907639877632 | 382201287933952 | 432011063853056 | 511068191326208 | 511068191326208 | 561778803081216 | 566612218347520 | 597182587600896 | 593978005127168 | 427355889729536 | 383169735950336 | 455336400000000 | 467790900000000 | 464586600000000 | 526069550000000 | 517401983000000 | 580919931620000 | 606397049109880 | 625983736049210 | 694928291864070 | 731740560000000 | 807539240000000 | 902225380000000 | |
Gross domestic savings (% of GDP) | NY.GDS.TOTL.ZS | 12.374092233 | 9.7029830645 | 7.2323488553 | 10.8451653313 | 15.4325032944 | 7.8896886803 | -2.2529602768 | 2.5680406148 | 6.9065300102 | 9.0301923991 | 14.3126944952 | 17.3486277498 | 23.2235550595 | 23.2178962044 | 28.855239349 | 26.6497226242 | 27.1102082838 | 29.033491532 | 27.0946050793 | 32.83466823 | 38.0369033545 | 31.7115635349 | 29.002084883 | 29.8029707374 | 30.3428492038 | 29.7088149014 | 28.5468039768 | 31.7303188772 | 31.5303179806 | 35.4436828873 | 32.2633794319 | 33.2490948394 | 33.4110122844 | 32.464661065 | 32.2030474514 | 30.5938787228 | 30.0758595036 | 31.4758910272 | 26.5250402739 | 19.4517455858 | 32.7634380339 | 30.8103275058 | 27.6998489544 | 32.9373163457 | 28.7284598347 | 29.2280086866 | 30.8125231081 | 28.9624708408 | 28.8714132833 | 33.7913101776 | 34.2531943005 | 34.1822618184 | |
Gross domestic income (constant 2000 US$) | NY.GDY.TOTL.KD | 12234000000 | 12220000000 | 14327000000 | 13531000000 | 13333000000 | 13437000000 | 13215000000 | 13633000000 | 15965000000 | 16374000000 | 17667000000 | 18797000000 | 19395000000 | 21546000000 | 29365000000 | 30357000000 | 31022000000 | 35058000000 | 39243000000 | 47734000000 | 59834000000 | 69057000000 | 68379000000 | 69848000000 | 76553000000 | 80823000000 | 79308000000 | 83247000000 | 84258000000 | 93472000000 | 105760000000 | 113990000000 | 121820000000 | 130210000000 | 140660000000 | 153720000000 | 166640000000 | 179460000000 | 160110000000 | 155500000000 | 165020000000 | 169420000000 | 173600000000 | 183160000000 | 191320000000 | 200140000000 | 216150000000 | 225930000000 | 254720000000 | 326660000000 | |||
Gross domestic income (constant LCU) | NY.GDY.TOTL.KN | 103029421649521 | 102917453481819 | 120656584042051 | 113952785972857 | 112283811402532 | 113161149300759 | 111291156173865 | 114814810841219 | 134451900065520 | 137899886705419 | 148785763220721 | 158306848498392 | 163339633890829 | 181457807031151 | 247308958784714 | 255658221305335 | 261258719921536 | 295252702120019 | 330491591622502 | 402001382728354 | 503904975975710 | 581579391831722 | 575871605472118 | 588242146388151 | 644714118997533 | 680674981706992 | 667909637627676 | 701089898523476 | 709604097584058 | 787198614025382 | 890698181678287 | 959995918026703 | 1.02590642590651E+15 | 1.09663961155623E+15 | 1.18463300853232E+15 | 1.29461172322931E+15 | 1.40339250892909E+15 | 1.51136706320234E+15 | 1.34841648516065E+15 | 1.30956901984671E+15 | 1.3897699E+15 | 1.42683395180639E+15 | 1.46203231828847E+15 | 1.54255328649425E+15 | 1.61121408082107E+15 | 1.68555809089873E+15 | 1.82019935338965E+15 | 1.90005275263682E+15 | 1.91410218627303E+15 | 2.04824227988562E+15 | 2.13152761597709E+15 | 2.23842510588029E+15 | |
GNI, Atlas method (current US$) | NY.GNP.ATLS.CD | 8425358929.36955 | 9796107792.47064 | 10680285378.0051 | 11802079377.1728 | 15209706231.9474 | 21869855930.4256 | 30598315922.6487 | 38041080896.3058 | 44835448129.3311 | 54591679573.6723 | 61024935183.4625 | 74102765957.1954 | 86645076759.5626 | 90819836744.6753 | 90787472747.5009 | 88577760121.9473 | 85747246219.281 | 87675868080.3365 | 87687513795.4481 | 92511339762.3061 | 99094091478.5188 | 111035558985.195 | 112328990877.248 | 125833407541.248 | 151872354647.193 | 170560814172.852 | 194813951294.246 | 218091673282.729 | 222423770191.862 | 135080246894.207 | 119650728524.11 | 119461981087.737 | 143150068614.696 | 156660007999.405 | 198234188577.126 | 241393114380.276 | 276758976902.114 | 315565148800.701 | 371908891938.149 | 457094695997.876 | 512970954634.876 | 600129325480.892 | 712737211853.421 | ||||||||||
GNI (current US$) | NY.GNP.MKTP.CD | 6029094552.17759 | 7509247489.51033 | 8856350091.77914 | 9697862866.41096 | 9856336207.74678 | 11459372922.7566 | 16872771593.8699 | 26467950730.1783 | 31334457640.0964 | 38847711868.6072 | 47587471547.5277 | 53252798845.1138 | 52740185507.9514 | 74806298371.9457 | 89426993474.0305 | 90125190381.0369 | 81876470289.045 | 82499953788.1101 | 82776570562.1586 | 76004241017.966 | 71904371777.5841 | 84681738711.9619 | 96893883450.839 | 109208755903.079 | 111033521716.2 | 121895291970.841 | 151992470232.231 | 172149167358.134 | 196187842940.741 | 221276439898.601 | 209439968859.367 | 90063495459.3717 | 129337748223.759 | 150317437984.54 | 143412003490.969 | 172377758116.178 | 225746848314.878 | 245051229529.877 | 271957828699.404 | 349037826573.882 | 414441364730.336 | 492111613379.175 | 520694426985.141 | 688119221076.37 | 822695588767.184 | ||||||||
GNI (current LCU) | NY.GNP.MKTP.CN | 416000000 | 500000000 | 1426999936 | 3408999936 | 7545999872 | 25323999232 | 334616002560 | 901850005504 | 2224929898496 | 2887170129920 | 3539719946240 | 3877679923200 | 4755639762944 | 7002200211456 | 10984199553024 | 13003799920640 | 16121800425472 | 19748800692224 | 23540399079424 | 32860299853824 | 46902800285696 | 56496398270464 | 59610601881600 | 74447000174592 | 84639997755392 | 91930000097280 | 97480003813376 | 118199999791104 | 142748002811904 | 171507993018368 | 201250993864704 | 216550892109824 | 247437696434176 | 317223499464704 | 371971313369088 | 441148002795520 | 518295815979008 | 609340432056320 | 901859782950912 | 1.01596740032922E+15 | 1.2659397E+15 | 1.471529E+15 | 1.6050423E+15 | 1.9362607E+15 | 2.19047608736E+15 | 2.6392806134E+15 | 3.19694789134E+15 | 3.788408515E+15 | 4.77282322021607E+15 | 5.40998385471E+15 | 6.25530190458E+15 | 7.21539681491E+15 | |
GNI (constant 2000 US$) | NY.GNP.MKTP.KD | 18112269870.6157 | 19195667535.2328 | 19636664904.5883 | 19112294578.9221 | 19711160555.1733 | 20025589135.4204 | 20481167691.9447 | 20772001409.656 | 23237518331.6338 | 24987155951.3498 | 26982631024.752 | 28805100688.9294 | 30826610350.2805 | 33741487303.8325 | 36177332143.3575 | 38466101631.1528 | 41184958986.4412 | 44598557828.3159 | 48575141633.6163 | 50888201474.6918 | 55238520473.957 | 59913019435.0043 | 59540242136.8914 | 65246263386.9287 | 68640984643.0652 | 71387051732.4985 | 76021660041.5425 | 79930388600.1297 | 85781150765.6782 | 93621327663.4186 | 101797835059.832 | 101198351026.24 | 109772018062.02 | 128597879522.806 | 139783549053.829 | 151061548274.185 | 163009359789.639 | 170118026624.773 | 143405217224.309 | 141823927773.084 | 150317437984.54 | 160732626365.026 | 169331570762.783 | 175942584302.69 | 183423359245.625 | 193426607772.57 | 205242693401.323 | 218716792055.71 | 233399059177.488 | 244246272811.254 | 261179810202.044 | 278028956213.335 | |
GNI growth (annual %) | NY.GNP.MKTP.KD.ZG | 5.9815675912 | 2.2973797006 | -2.6703634666 | 3.1334070003 | 1.5951804531 | 2.2749820414 | 1.4200055489 | 11.8694240066 | 7.5293652048 | 7.9860031982 | 6.7542326117 | 7.0178878497 | 9.4557167344 | 7.2191389123 | 6.3265292165 | 7.0681905366 | 8.2884599764 | 8.9163955046 | 4.7618180067 | 8.548777267 | 8.4623898702 | -0.6221974817 | 9.5834700116 | 5.2029358923 | 4.0006231025 | 6.4922254058 | 5.1415985345 | 7.3198219951 | 9.1397432044 | 8.7335947914 | -0.5888966433 | 8.4721410466 | 17.1499638917 | 8.6981757184 | 8.068187778 | 7.9092341181 | 4.3608948862 | -15.702515442 | -1.1026721913 | 5.9887709675 | 6.9287958338 | 5.3498437699 | 3.9041824924 | 4.2518273632 | 5.4536393664 | 6.1088212035 | 6.5649589913 | 6.7129126135 | 4.647496726 | 6.9329767844 | 6.4511671091 | ||
GNI (constant LCU) | NY.GNP.MKTP.KN | 156353304105104 | 165705682671274 | 169512571387759 | 164985969610166 | 170155651531420 | 172869941224425 | 176802701342336 | 179313309512055 | 200596766518384 | 215700429658529 | 232926272869489 | 248658655152934 | 266109240700216 | 291271776704997 | 312299090877528 | 332056784104720 | 355527190294917 | 384994919167616 | 419322588833043 | 439289967374134 | 476843888241325 | 517196277136620 | 513978294925022 | 563235250685417 | 592540019701358 | 616245312621255 | 656253347369435 | 689995259860291 | 740501684656928 | 808181637058639 | 878764946417509 | 873589929145800 | 947601700111955 | 1.11011504951794E+15 | 1.20667480720135E+15 | 1.30403159651566E+15 | 1.40717050845827E+15 | 1.46853573520209E+15 | 1.23793868460998E+15 | 1.22428827898927E+15 | 1.2976081E+15 | 1.38751671597132E+15 | 1.46174669255678E+15 | 1.51881595101152E+15 | 1.58339338321354E+15 | 1.66974594808503E+15 | 1.77174774260564E+15 | 1.88806225533657E+15 | 2.01480622462602E+15 | 2.10844427795057E+15 | 2.25462223025309E+15 | 2.40007167800501E+15 | |
GNI, PPP (current international $) | NY.GNP.MKTP.PP.CD | 91344858643.8479 | 108965859786.111 | 115006414406.904 | 130686297564.923 | 142677010364.11 | 153135777726.486 | 166172704987.01 | 179661559576.093 | 199147770506.282 | 225721265370.775 | 255199806075.451 | 260901368875.808 | 288895885008.062 | 347624876877.189 | 385908993863.392 | 426901888601.497 | 468923048334.116 | 499170225489.287 | 427440477404.895 | 427976281695.396 | 452326502481.105 | 470450363645.723 | 492433381542.167 | 575012655900.708 | 616113542265.764 | 670844893054.58 | 735230241867.56 | 805791583324.901 | 878228582428.38 | 931495585340.095 | 1003297912932.44 | 1091447849329.3 | |||||||||||||||||||||
GNI per capita, Atlas method (current US$) | NY.GNP.PCAP.CD | 70 | 80 | 90 | 90 | 120 | 170 | 230 | 280 | 320 | 380 | 410 | 490 | 560 | 580 | 560 | 540 | 510 | 510 | 500 | 520 | 550 | 600 | 600 | 660 | 780 | 870 | 980 | 1080 | 1080 | 650 | 570 | 560 | 660 | 720 | 890 | 1070 | 1220 | 1370 | 1600 | 1950 | 2160 | 2500 | 2940 | ||||||||||
GNI per capita (constant 2000 US$) | NY.GNP.PCAP.KD | 196.9868108965 | 203.7199306677 | 203.3154822385 | 193.0179379991 | 194.1244247278 | 192.2825197971 | 191.6997692634 | 189.5035097755 | 206.6273327819 | 216.5657747447 | 227.9675089666 | 237.263061899 | 247.5878958202 | 264.3026888435 | 276.4510230428 | 286.8337200189 | 299.7840801752 | 317.0031654736 | 337.2647911 | 345.2301945885 | 366.2545044342 | 388.3510149565 | 377.4139889878 | 404.6388205152 | 416.746212362 | 424.6216250785 | 443.3464769001 | 457.3530200972 | 481.8981677423 | 516.6800416213 | 552.2108900909 | 539.8633196707 | 576.1934364277 | 664.500446591 | 711.4084919468 | 757.5791948588 | 805.9514793433 | 829.5871921213 | 689.981279739 | 673.3935008771 | 704.4080155245 | 743.4321234784 | 773.1104461455 | 793.1085062689 | 816.6430353961 | 850.9630706767 | 892.6756717949 | 940.8721900235 | 993.3939680819 | 1028.7757401302 | 1088.834743669 | 1147.3361156005 | |
GNI per capita growth (annual %) | NY.GNP.PCAP.KD.ZG | 3.4180561331 | -0.1985315958 | -5.0648106706 | 0.5732559057 | -0.9488269873 | -0.3030699485 | -1.1456766465 | 9.0361508484 | 4.8098389642 | 5.2647904478 | 4.0775779735 | 4.3516398375 | 6.7510541935 | 4.5963717783 | 3.75570937 | 4.5149364432 | 5.7438291214 | 6.3916161834 | 2.3617655026 | 6.0899394593 | 6.0331027345 | -2.8162733062 | 7.2135194566 | 2.9921478694 | 1.8897382827 | 4.409773482 | 3.1592769824 | 5.366783768 | 7.2176812877 | 6.8767603947 | -2.2360244323 | 6.7295027155 | 15.3259312898 | 7.0591442935 | 6.4900410151 | 6.3851125813 | 2.9326471114 | -16.8283591777 | -2.404091147 | 4.6057044814 | 5.5399863565 | 3.9920689098 | 2.5867015797 | 2.9673782265 | 4.2025749064 | 4.9018109664 | 5.3991073972 | 5.5822436475 | 3.561705948 | 5.837910168 | 5.372842139 | ||
GNI per capita (constant LCU) | NY.GNP.PCAP.KN | 1700479.23141642 | 1758602.56607796 | 1755111.18434039 | 1666218.12579528 | 1675769.81960324 | 1659869.66331054 | 1654839.09717716 | 1635879.99210325 | 1783700.57588923 | 1869493.70119276 | 1967918.62699458 | 2048162.04346539 | 2137290.67888513 | 2281580.33088907 | 2386450.24531739 | 2476078.38079221 | 2587871.74596771 | 2736514.67693657 | 2911422.19188941 | 2980183.15685165 | 3161674.50688004 | 3352421.57801175 | 3258008.22399753 | 3493025.28113197 | 3597541.76265879 | 3665525.88658239 | 3827167.27510454 | 3948078.08990653 | 4159962.90398416 | 4460215.76808103 | 4766934.11953875 | 4660344.30795437 | 4973962.30470825 | 5736268.34990852 | 6141199.80979109 | 6539766.19626339 | 6957337.63045087 | 7161371.79149868 | 5956230.42437581 | 5813037.21605048 | 6080768.53161571 | 6417642.27863544 | 6673838.98078562 | 6846471.2791293 | 7049631.97714647 | 7345898.04161352 | 7705980.07739516 | 8122034.21777864 | 8575425.95694603 | 8880857.41332081 | 9399313.89125766 | 9904324.18878026 | |
1 | 1.0341805613 | 1.0321273862 | 0.9798520882 | 0.9854691481 | 0.9761187509 | 0.9731604283 | 0.9620111565 | 1.0489399358 | 1.0993922576 | 1.1572729561 | 1.2044616633 | 1.2568754969 | 1.3417278428 | 1.4033986427 | 1.456106217 | 1.5218484873 | 1.6092608639 | 1.7121186417 | 1.7525548691 | 1.8592843996 | 1.9714569376 | 1.9159353221 | 2.0541416894 | 2.1156046461 | 2.1555840371 | 2.2506404103 | 2.3217443747 | 2.446347375 | 2.6229169317 | 2.8032886444 | 2.7406064254 | 2.9250356093 | 3.3733245569 | 3.6114524049 | 3.8458371472 | 4.0913981788 | 4.2113844493 | 3.5026775478 | 3.418469987 | 3.5759146123 | 3.774019794 | 3.9246812648 | 4.0262010571 | 4.1456736706 | 4.319898712 | 4.5316519808 | 4.7763207381 | 5.0429465991 | 5.2225615281 | 5.5274499786 | 5.8244311402 | |||
GNI per capita, PPP (current international $) | NY.GNP.PCAP.PP.CD | 610 | 710 | 730 | 810 | 870 | 910 | 970 | 1030 | 1120 | 1250 | 1380 | 1390 | 1520 | 1800 | 1960 | 2140 | 2320 | 2430 | 2060 | 2030 | 2120 | 2180 | 2250 | 2590 | 2740 | 2950 | 3200 | 3470 | 3740 | 3920 | 4180 | 4500 | |||||||||||||||||||||
Gross savings (current US$) | NY.GNS.ICTR.CD | 26528027481.2502 | 23013398773.2535 | 22063826664.7584 | 21638624900.2544 | 21473040743.7954 | 19057342397.086 | 20324463885.7659 | 24143135359.2392 | 31737144240.8828 | 32118113092.9806 | 25742221692.4354 | 29830175995.2493 | 45819008626.0059 | 52840681551.2095 | 56876839084.9337 | 63227151458.0884 | 62633988593.7144 | 21401268836.7052 | 18482702606.8312 | 41179382818.2105 | 33919285893.0762 | 32654878364.9382 | 70170846301.3691 | 63138459033.2531 | 74435872878.5721 | 101663743754.455 | 112509273602.451 | 134545501164.988 | 168023157759.252 | 227244485568.731 | 269541924601.902 | ||||||||||||||||||||||
Gross savings (current LCU) | NY.GNS.ICTR.CN | 16759346900617.4 | 15221521823310 | 20061755248665.3 | 22199929562278.8 | 23847528645604.8 | 24442186181447.8 | 33410369462413.6 | 40698082096205.7 | 56176651394615.3 | 59187581870796.2 | 50205568428551.7 | 60552872167172.8 | 95628857377849.4 | 114175502661776 | 127893265920761 | 148096959947544 | 182226066394860 | 214303737263361 | 145184399577099 | 346803512819531 | 348040691406250 | 304055822803752 | 601864668292368 | 564385189865934 | 722380955788066 | 931170396090979 | 1.02844727E+15 | 1.30491107032882E+15 | 1.74575052772917E+15 | 2.06575084643018E+15 | 2.36399948025934E+15 | ||||||||||||||||||||||
Gross savings (% of GNI) | NY.GNS.ICTR.GN.ZS | 29.6644519185 | 25.5349238941 | 26.9477013199 | 26.2286509346 | 25.9409644516 | 25.0740513185 | 28.2659640621 | 28.5104388815 | 32.754538378 | 29.4098333301 | 23.1841891481 | 24.4719673032 | 30.1455779724 | 30.6947064352 | 28.9910109782 | 28.5738289567 | 29.9054611853 | 23.7624230856 | 14.2902616295 | 27.3949472332 | 23.6516365907 | 18.9437887589 | 31.0838653231 | 25.7654120546 | 27.3703732798 | 29.1268556054 | 27.1472114459 | 27.3404442218 | 32.2690524521 | 33.0239991281 | 32.7632636278 | ||||||||||||||||||||||
Gross savings (% of GDP) | NY.GNS.ICTR.ZS | 28.6870495932 | 24.2974808325 | 25.8451832501 | 24.6981194663 | 24.5858913439 | 23.8036296048 | 26.767504562 | 27.1920054387 | 31.281930284 | 28.0687722177 | 20.0847494876 | 21.4426220485 | 28.9981153736 | 29.8716941797 | 28.1384589491 | 27.8080849934 | 29.0309715416 | 22.4224903951 | 13.201802892 | 24.9540238869 | 21.1404993316 | 16.6895514597 | 29.8888748087 | 24.5830965634 | 26.0384912055 | 27.8858921676 | 26.0307535015 | 26.3688267595 | 31.139621652 | 32.0954620039 | 31.8294342382 | ||||||||||||||||||||||
Gross national income (constant LCU) | NY.GNY.TOTL.KN | 104277746265713 | 103991948445531 | 122512514672195 | 114896382934649 | 112618921186084 | 114845165240343 | 111796977833001 | 115945833881731 | 135361580771056 | 139014581189387 | 149573524159729 | 158452353868504 | 160716908598797 | 177430465166191 | 239313057701066 | 248013928201719 | 257423329068416 | 289497801410643 | 323067552431974 | 382650258678434 | 482209800123678 | 561466269699754 | 549869326105462 | 561187583256759 | 605246242645533 | 643801525648624 | 632284431605532 | 662180795738964 | 675390329383866 | 750582814061734 | 849343459923151 | 914609853564879 | 977461484897616 | 1.0236035333042E+15 | 1.14932781951676E+15 | 1.23381079884403E+15 | 1.35808337219693E+15 | 1.45525896101328E+15 | 1.24694227920251E+15 | 1.22921413277291E+15 | 1.2976367E+15 | 1.36062335180639E+15 | 1.40567531828847E+15 | 1.46132248649425E+15 | 1.53074594596731E+15 | 1.57817641300018E+15 | 1.70634188052035E+15 | 1.77948909761136E+15 | 1.81750667494991E+15 | 1.93842301118562E+15 | 2.03853561207709E+15 | 2.14197213598029E+15 | |
Net income from abroad (current US$) | NY.GSR.NFCY.CD | 48254175.4565327 | 41884010.6625182 | 57392649.4233129 | 41122852.4712329 | 7218254.931308 | -145711636.973494 | -298409569.46506 | -759760269.262651 | -813495367.556627 | -480962861.031325 | -808671917.956627 | -1045359494.4118 | -2382434826.50225 | -3206907665.62379 | -3046885357.68846 | -4589973433.22235 | -3492731590.05267 | -5112485409.16593 | -4562303767.91573 | -4056416593.92414 | -4025245937.42774 | -4105884597.69747 | -4561314334.94429 | -5217742141.91638 | -17134478130.3196 | -17220978081.6046 | -6014379646.6687 | -4742980885.35555 | -5944189903.41755 | -6093231450.74794 | -6308885787.33701 | -5382052557.98317 | -10663604303.4625 | -10943274514.6104 | -5949916656.4355 | -5854578390.83932 | -9025615166.78159 | -11785645496.2068 | -13910775164.5257 | -15532699423.171 | -17775373046.7126 | -18132935580.7916 | -18885532067.5576 | -19907619418.5829 | -24136694158.0234 | ||||||||
Net income from abroad (current LCU) | NY.GSR.NFCY.CN | 4000000 | 4000000 | 17999872 | 22999808 | 17999872 | 303998976 | 1265991680 | 7218003968 | 12409896960 | 18710003712 | 15009841152 | 2839805952 | -60470329344 | -123839971328 | -315300511744 | -337600577536 | -199599587328 | -335598845952 | -462101151744 | -1484399837184 | -2010699005952 | -1924900323328 | -3035900149760 | -3175801159680 | -5245102981120 | -5066803118080 | -5202597904384 | -6616900435968 | -6921289465856 | -8073800318976 | -9615307702272 | -33417714466816 | -34957208584192 | -12552612347904 | -10248395948032 | -13366105997312 | -14272176324608 | -18354945392640 | -53893719392256 | -83764210302976 | -92161800000000 | -61051200000000 | -54513100000000 | -77413900000000 | -105350112640000 | -135000486600000 | -142268908660000 | -162484685020000 | -175865177000000 | -196219545049999 | -180968887150000 | -211689267000000 | |
Net income from abroad (constant LCU) | NY.GSR.NFCY.KN | 1248324616192 | 1074494963712 | 1855930630144 | 943596961792 | 335109783552 | 1684015939584 | 505821659136 | 1131023040512 | 909680705536 | 1114694483968 | 787760939008 | 145505370112 | -2622725292032 | -4027341864960 | -7995901083648 | -7644293103616 | -3835390853120 | -5754900709376 | -7424039190528 | -19351124049920 | -21695175852032 | -20113122131968 | -26002279366656 | -27054563131392 | -39467876352000 | -36873456058368 | -35625206022144 | -38909102784512 | -34213768200192 | -36615799963648 | -41354721755136 | -45386064461824 | -48444941008896 | -73036078252032 | -35305189015552 | -60800924385280 | -45309136732160 | -56108102189056 | -101474205958144 | -80354887073792 | -92133200000000.3 | -66210600000000.3 | -56357000000000 | -81230800000000 | -80468134853760 | -107381677898550 | -113857472869300 | -120563655025460 | -96595511323120 | -109819268700000 | -92992003900000.3 | -96452969900000 | |
Net taxes on products (current US$) | NY.TAX.NIND.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net taxes on products (current LCU) | NY.TAX.NIND.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net taxes on products (constant LCU) | NY.TAX.NIND.KN | 42933034156032 | 53776127885312 | 53833963143168 | 55838920146944 | 63011125460992 | 67885988839424 | 71248138731520 | 74920998469632 | 72196319870976 | 83861358772224 | 5972769112064 | 19862703308800 | |||||||||||||||||||||||||||||||||||||||||
Net current transfers from abroad (current US$) | NY.TRF.NCTR.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net current transfers from abroad (current LCU) | NY.TRF.NCTR.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net current transfers from abroad (constant LCU) | NY.TRF.NCTR.KN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Terms of trade adjustment (constant LCU) | NY.TTF.GNFS.KN | -52343218098575.3 | -61940554430628.8 | -47349651675580.6 | -50268207825287.3 | -57605213826268 | -58336861274089.2 | -65095282158550.9 | -63555969490813.2 | -65384338282767.7 | -76878878409973 | -83501972947726.9 | -90234906189095.6 | -104793916107251 | -112888918230161 | -71341610672949.6 | -82695879721481.1 | -97356520225408.2 | -94334218287021.3 | -94958976794777.9 | -53624787049822 | 8525427766558 | 45835371876009.9 | 34212576689013.6 | 813429516470.719 | 15154121762333 | 29221791333615.8 | -22399585001700.3 | -25805734581419.9 | -63490686784581.8 | -56129623051098.3 | -28542864157489.1 | -41313094465587.3 | -47702119889588.6 | -54849307782782.6 | -53678943130783.3 | -47673333606267.6 | -41480526126009.4 | -1413162898909.5 | 34214743078602.9 | -15029764317133.8 | 0 | -13571748193606.9 | -43184081711525.9 | -34618013505747.3 | -45302719178928.5 | -65257109101273.5 | -26927346610351.9 | -64274547363183.5 | -168353913726967 | -130608090714376 | -182310347022908 | -224816858619710 | |
DEC alternative conversion factor (LCU per US$) | PA.NUS.ATLS | 149.5829925537 | 296.2919921875 | 326 | 365 | 393.4200134277 | 415 | 415 | 415 | 415 | 415 | 415 | 442.049987793 | 623.0599975586 | 626.9899902344 | 631.7600097656 | 661.4199829102 | 909.2600097656 | 1025.9399414063 | 1110.5799560547 | 1282.5600585938 | 1643.8499755859 | 1685.6999511719 | 1770.0600585938 | 1842.8100585938 | 1950.3199462891 | 2029.9200439453 | 2087.1000976563 | 2160.75 | 2248.6000976563 | 2342.3000488281 | 2909.3798828125 | 10013.599609375 | 7855.1499023438 | 8421.775390625 | 10260.849609375 | 9311.19140625 | 8577.1328125 | 8938.849609375 | 9704.7421875 | 9159.31640625 | 9141 | 9698.66 | 10389.94 | 9090.4333333333 | 8770.4333333333 | ||||||||
Official exchange rate (LCU per US$, period average) | PA.NUS.FCRF | 149.5833333333 | 296.2916666667 | 326 | 362.8333333333 | 391.875 | 415 | 415 | 415 | 414.999999999 | 414.999999999 | 414.999999999 | 442.0454166659 | 623.0554999991 | 626.9939999986 | 631.7566666642 | 661.4207499993 | 909.264833332 | 1025.9448333315 | 1110.5799999997 | 1282.5599999998 | 1643.8483333333 | 1685.7041666667 | 1770.0591666667 | 1842.8133333333 | 1950.3175 | 2029.9208333333 | 2087.1038666667 | 2160.753675 | 2248.607975 | 2342.2962916667 | 2909.38 | 10013.6225 | 7855.15 | 8421.775 | 10260.85 | 9311.1916666667 | 8577.1333333333 | 8938.85 | 9704.7416666667 | 9159.3166666667 | 9141 | 9698.9625 | 10389.9375 | 9090.4333333333 | 8770.4333333333 | ||||||||
PPP conversion factor, GDP (LCU per international $) | PA.NUS.PPP | 513.46951522 | 518.47797449 | 518.32414904 | 569.66186633 | 593.22800176 | 600.31693091 | 586.61862561 | 657.90367216 | 716.79438062 | 759.82204307 | 788.60167239 | 830.01056316 | 856.49436103 | 912.54544932 | 963.88350436 | 1033.3709327 | 1105.2897012 | 1220.7066867 | 2109.9072985 | 2373.887161 | 2798.7298844 | 3127.9155331 | 3259.4100241 | 3367.3357971 | 3555.3123525 | 3934.2635544 | 4348.2268673 | 4701.4744177 | 5434.6024665 | 5807.8470149 | 6234.740274 | 6610.8489007 | |||||||||||||||||||||
PPP conversion factor (GDP) to market exchange rate ratio | PA.NUS.PPPC.RF | 0.8189437203 | 0.820688183 | 0.7836535975 | 0.6265115151 | 0.5782287811 | 0.5405436391 | 0.4573810183 | 0.4002212379 | 0.4252206213 | 0.4292634249 | 0.4279343217 | 0.4255766162 | 0.4219350233 | 0.437231281 | 0.4460874716 | 0.4595618998 | 0.4718822005 | 0.4195762451 | 0.2107041804 | 0.3022077478 | 0.3323206515 | 0.3048398186 | 0.3500529505 | 0.3925945734 | 0.3977371259 | 0.4053959887 | 0.4747326847 | 0.5143282374 | 0.5603457041 | 0.5589875413 | 0.6858573233 | 0.7537653671 | |||||||||||||||||||||
PPP conversion factor, private consumption (LCU per international $) | PA.NUS.PRVT.PP | 803.57965094 | 817.63005641 | 843.20651256 | 913.25982879 | 966.99801137 | 977.90679034 | 1016.0064664 | 1070.2107964 | 1111.7198005 | 1128.5891726 | 1154.4457264 | 1211.8293186 | 1264.7222346 | 1347.4730304 | 1425.0988629 | 1516.9579291 | 1591.1952392 | 1651.7131191 | 2576.1118521 | 3037.4736868 | 3047.5567939 | 3304.6933079 | 3639.5257473 | 3793.107549 | 3924.8533972 | 4192.8254193 | 4594.2716795 | 4753.0580893 | 5024.8363553 | 5285.5004752 | 5467.1289696 | 5583.759928 | |||||||||||||||||||||
Real effective exchange rate index (2005 = 100) | PX.REX.REER | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, youth female (% of females ages 15-24) | SE.ADT.1524.LT.FE.ZS | 81.64840035 | 95.06925265 | 98.5421609 | 96.27236105 | 99.38240944 | 99.39658982 | |||||||||||||||||||||||||||||||||||||||||||||||
Ratio of young literate females to males (% ages 15-24) | SE.ADT.1524.LT.FM.ZS | 0.911343828 | 0.976047597 | 99.6713608 | 99.2217547 | 99.8442104 | 99.8458643 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, youth male (% of males ages 15-24) | SE.ADT.1524.LT.MA.ZS | 89.59121447 | 97.4022711 | 98.86707685 | 97.02747277 | 99.53747847 | 99.55003197 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, youth total (% of people ages 15-24) | SE.ADT.1524.LT.ZS | 85.43709166 | 96.207558 | 98.7054552 | 96.65104033 | 99.46010544 | 99.47374386 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, adult female (% of females ages 15 and above) | SE.ADT.LITR.FE.ZS | 57.69462777 | 75.27011869 | 86.79958907 | 88.78698384 | 89.10139087 | 89.67711674 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, adult male (% of males ages 15 and above) | SE.ADT.LITR.MA.ZS | 77.474998 | 88.02452107 | 94.03508227 | 95.15854388 | 95.38319348 | 95.64700578 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, adult total (% of people ages 15 and above) | SE.ADT.LITR.ZS | 67.31267192 | 81.51985243 | 90.38478936 | 91.98227127 | 92.19230071 | 92.58169512 | |||||||||||||||||||||||||||||||||||||||||||||||
Ratio of female to male primary enrollment (%) | SE.ENR.PRIM.FM.ZS | 86.081 | 84.018 | 84.365 | 82.843 | 80.857 | 85.521 | 87.873 | 87.737 | 87.611 | 87.45 | 89.88 | 94.3 | 94.772 | 95.133 | 94.179 | 94.959 | 94.673 | 95.872 | 95.95 | 97.4 | 98.345 | 96.834 | 96.571 | 96.282 | 96.331 | 96.409 | 96.599 | 97.778 | 97.829 | 98.104 | 98.321 | 96.556 | 96.495 | 95.828 | 97.377 | 96.711 | 101.754 | ||||||||||||||||
Ratio of girls to boys in primary and secondary education (%) | SE.ENR.PRSC.FM.ZS | 80.629 | 80.031 | 79.913 | 78.647 | 77.205 | 81.588 | 83.566 | 83.536 | 83.776 | 83.812 | 85.711 | 89.657 | 89.97 | 90.328 | 91.584 | 92.206 | 92.955 | 93.731 | 92.125 | 92.964 | 92.882 | 92.978 | 96.013 | 97.769 | 98.07 | 98.263 | 98.582 | 97.318 | 97.892 | 97.549 | 97.983 | 97.614 | 101.098 | ||||||||||||||||||||
Ratio of female to male secondary enrollment (%) | SE.ENR.SECO.FM.ZS | 53.326 | 59.134 | 57.218 | 57.786 | 59.663 | 63.755 | 64.353 | 64.787 | 66.036 | 68.666 | 69.584 | 73.655 | 73.528 | 80.16 | 81.622 | 83.189 | 82.12 | 82.539 | 80.772 | 84.394 | 85.374 | 86.093 | 95.114 | 97.967 | 98.763 | 98.764 | 99.235 | 98.897 | 100.482 | 100.487 | 99.119 | 99.143 | 100.226 | ||||||||||||||||||||
Ratio of female to male tertiary enrollment (%) | SE.ENR.TERT.FM.ZS | 32.197 | 36.947 | 38.069 | 40.236 | 46.487 | 48.396 | 46.419 | 48.861 | 66.337 | 63.262 | 54.577 | 88.128 | 76.358 | 86.438 | 79.681 | 79.437 | 91.431 | 99.174 | 91.981 | 95.887 | 89.226 | ||||||||||||||||||||||||||||||||
School enrollment, preprimary (% gross) | SE.PRE.ENRR | 5.69631 | 5.49415 | 5.66888 | 5.27605 | 6.72405 | 6.7664 | 7.35015 | 8.38665 | 9.22982 | 10.79275 | 11.86299 | 14.505 | 13.12286 | 13.8841 | 13.90725 | 14.09172 | 14.06616 | 16.59247 | 17.10276 | 16.7768 | 17.45215 | 17.61189 | 18.24391 | 17.72264 | 18.36421 | 18.65808 | 18.4527 | 22.533 | 23.86137 | 24.22573 | 26.18979 | 27.80114 | 28.06964 | 33.25337 | 36.91868 | 43.44076 | 45.90642 | 47.76598 | 43.43366 | ||||||||||||||
School enrollment, preprimary, female (% gross) | SE.PRE.ENRR.FE | 5.61873 | 5.79985 | 6.0086 | 5.71494 | 7.52235 | 8.21135 | 10.2941 | 18.84498 | 19.23444 | 22.6023 | 24.30907 | 24.68514 | 27.22594 | 28.99708 | 29.29783 | 33.80717 | 37.53956 | 44.3624 | 46.38709 | 48.75808 | 43.99256 | ||||||||||||||||||||||||||||||||
School enrollment, preprimary, male (% gross) | SE.PRE.ENRR.MA | 5.77187 | 5.19608 | 5.33727 | 4.84694 | 5.94221 | 6.50486 | 8.18728 | 17.8988 | 18.10028 | 22.46605 | 23.42895 | 23.78202 | 25.18967 | 26.64748 | 26.88544 | 32.71957 | 36.32024 | 42.55278 | 45.44347 | 46.8107 | 42.89558 | ||||||||||||||||||||||||||||||||
Primary school starting age (years) | SE.PRM.AGES | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | ||||||||||
Primary completion rate, female (% of relevant age group) | SE.PRM.CMPT.FE.ZS | 93.90501 | 92.70116 | 91.22556 | 93.14285 | 94.99786 | 96.04809 | 97.57226 | 97.02482 | 95.94191 | 101.14018 | 100.59015 | 104.92544 | |||||||||||||||||||||||||||||||||||||||||
Primary completion rate, male (% of relevant age group) | SE.PRM.CMPT.MA.ZS | 92.66704 | 92.01678 | 94.79673 | 92.34093 | 94.3556 | 96.09123 | 96.29706 | 95.90205 | 95.73894 | 103.40563 | 101.99195 | 104.12447 | |||||||||||||||||||||||||||||||||||||||||
Primary completion rate, total (% of relevant age group) | SE.PRM.CMPT.ZS | 50.52433 | 51.75514 | 49.67472 | 48.0896 | 47.55733 | 52.04712 | 54.80664 | 63.95286 | 68.46612 | 73.59784 | 82.89185 | 92.17378 | 94.52164 | 93.9084 | 94.15788 | 94.41486 | 91.65257 | 88.69302 | 87.27169 | 90.76902 | 93.27322 | 93.27766 | 92.35427 | 93.03636 | 92.7356 | 94.6716 | 96.07001 | 96.92416 | 96.45408 | 95.83872 | 102.29208 | 101.30306 | 104.51802 | 108.79271 | |||||||||||||||||||
Primary education, duration (years) | SE.PRM.DURS | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | ||||||||||
Primary education, pupils | SE.PRM.ENRL | 14870220 | 15519557 | 16140125 | 16643900 | 16892010 | 17776617 | 18779943 | 19783270 | 22024819 | 25537053 | 27026488 | 27990275 | 29108580 | 29909188 | 29897115 | 29882556 | 29999990 | 30130564 | 29933790 | 29753576 | 29577704 | 29598790 | 29876196 | 29721859 | 29447990 | 29236283 | 28201934 | 28690131 | 28926377 | 29050834 | 29142093 | 29149746 | 28982708 | 29796705 | 29498266 | 29901051 | 30341821 | ||||||||||||||||
Primary education, pupils (% female) | SE.PRM.ENRL.FE.ZS | 45.6 | 45 | 45.1 | 44.65686 | 44.08009 | 45.49947 | 46.21545 | 46.21673 | 46.20685 | 46.15445 | 46.81442 | 47.98625 | 48.08851 | 48.16486 | 47.90072 | 48.09234 | 48.00035 | 48.2967 | 48.30095 | 48.66408 | 48.89424 | 48.49541 | 48.41517 | 48.32803 | 48.33018 | 48.33018 | 48.32745 | 48.62186 | 48.62113 | 48.67859 | 48.72238 | 48.26 | 48.23694 | 48.0562 | 48.44783 | 48.26759 | 49.52885 | ||||||||||||||||
Pupil-teacher ratio, primary | SE.PRM.ENRL.TC.ZS | 28.93 | 29.01937 | 29.43001 | 29.90001 | 29.47681 | 29.46432 | 30.34809 | 36.00107 | 37.17652 | 32.43212 | 31.57757 | 28.79975 | 27.55328 | 26.43857 | 25.2978 | 24.42609 | 23.96357 | 23.55995 | 23.27149 | 23.21946 | 23.4541 | 23.1926 | 23.05079 | 22.66127 | 22.34334 | 22.02891 | 22.44616 | 22.24524 | 20.90186 | 20.29418 | 20.12598 | 20.41336 | 20.30194 | 18.81593 | 17.48179 | 16.61194 | 15.96983 | ||||||||||||||||
School enrollment, primary (% gross) | SE.PRM.ENRR | 81.33843 | 82.57871 | 83.63544 | 83.96663 | 82.9432 | 85.042 | 87.71053 | 90.2089 | 98.14959 | 107.5542 | 112.03219 | 114.26794 | 117.12005 | 118.74434 | 117.30758 | 115.95576 | 115.10457 | 114.33488 | 112.4511 | 110.83585 | 109.25308 | 108.72088 | 109.51867 | 109.12067 | 108.68834 | 108.66381 | 106.44637 | 108.64418 | 109.75221 | 110.56415 | 111.44547 | 112.14914 | 112.29447 | 116.2834 | 115.5349 | 116.99583 | 118.12384 | ||||||||||||||||
School enrollment, primary, female (% gross) | SE.PRM.ENRR.FE | 75.17976 | 75.32015 | 76.45661 | 75.99361 | 74.06452 | 78.33125 | 81.98945 | 84.25906 | 91.60868 | 100.28591 | 106.00214 | 110.88005 | 113.94159 | 115.74879 | 113.75006 | 112.92155 | 111.91612 | 111.89457 | 110.09638 | 109.35644 | 108.32874 | 106.94779 | 107.58158 | 107.02401 | 106.62778 | 106.64736 | 104.57549 | 107.4041 | 108.52771 | 109.48815 | 110.48624 | 110.15052 | 110.25688 | 113.76321 | 113.97246 | 115.00541 | 119.16959 | ||||||||||||||||
School enrollment, primary, male (% gross) | SE.PRM.ENRR.MA | 87.33557 | 89.64718 | 90.62572 | 91.73257 | 91.59894 | 91.59294 | 93.30494 | 96.03632 | 104.56252 | 114.67843 | 117.93751 | 117.58243 | 120.22685 | 121.67017 | 120.78056 | 118.91619 | 118.2134 | 116.71255 | 114.74392 | 112.2757 | 110.15231 | 110.44496 | 111.40128 | 111.15738 | 110.68913 | 110.6202 | 108.25776 | 109.84439 | 110.93669 | 111.60447 | 112.37245 | 114.07983 | 114.26223 | 118.71649 | 117.04282 | 118.91609 | 117.11529 | ||||||||||||||||
Gross intake rate in grade 1, female (% of relevant age group) | SE.PRM.GINT.FE.ZS | 102.46162 | 102.91899 | 108.59329 | 104.44703 | 107.05963 | 111.92083 | 115.05072 | 110.8733 | 114.84153 | 118.24894 | 121.58815 | 121.43831 | 117.51716 | 113.65504 | |||||||||||||||||||||||||||||||||||||||
Gross intake rate in grade 1, male (% of relevant age group) | SE.PRM.GINT.MA.ZS | 108.41596 | 108.21482 | 111.40755 | 111.82346 | 112.76345 | 117.72457 | 114.63427 | 115.59369 | 118.95952 | 122.83113 | 127.1665 | 121.08196 | 120.59644 | 127.57609 | |||||||||||||||||||||||||||||||||||||||
Gross intake rate in grade 1, total (% of relevant age group) | SE.PRM.GINT.ZS | 89.38755 | 90.62958 | 99.29745 | 109.99213 | 112.33829 | 106.5021 | 118.87645 | 118.92514 | 126.71027 | 121.32925 | 124.08729 | 122.70759 | 107.63137 | 110.21596 | 114.10553 | 113.13815 | 108.69169 | 105.57755 | 104.49243 | 104.40737 | 106.06324 | 105.48503 | 105.60852 | 110.02312 | 108.19758 | 109.95989 | 114.87271 | 114.83885 | 113.27542 | 116.93746 | 120.58132 | 124.42808 | 121.25686 | 119.08535 | 120.74544 | ||||||||||||||||||
School enrollment, primary (% net) | SE.PRM.NENR | 68.17633 | 69.36963 | 69.17915 | 71.59494 | 74.49356 | 76.87885 | 83.52597 | 88.14738 | 94.90917 | 97.36771 | 96.78759 | 97.78576 | 97.13166 | 96.27058 | 97.19276 | 96.21186 | 94.64171 | 93.81072 | 93.06601 | 91.96741 | 92.56605 | 92.45652 | 91.44203 | 91.42139 | 90.10333 | 91.01602 | 91.18703 | 91.49998 | 91.80575 | 92.38541 | 95.4495 | 94.83228 | 95.70341 | 95.30961 | 96.4917 | ||||||||||||||||||
School enrollment, primary, female (% net) | SE.PRM.NENR.FE | 63.20265 | 64.37369 | 62.02292 | 66.86248 | 70.03677 | 78.89505 | 83.50473 | 90.8068 | 94.43318 | 94.62738 | 94.61059 | 94.17123 | 92.66929 | 91.87716 | 91.0007 | 90.10043 | 90.60538 | 90.43817 | 90.11896 | 90.13552 | 88.51969 | 90.3926 | 90.7226 | 90.59797 | 90.81147 | 90.73901 | |||||||||||||||||||||||||||
School enrollment, primary, male (% net) | SE.PRM.NENR.MA | 73.01976 | 74.23435 | 76.15569 | 76.21471 | 78.85167 | 88.06628 | 92.69802 | 98.92669 | 99.08892 | 97.87382 | 99.71044 | 98.20012 | 96.56228 | 95.69258 | 95.0752 | 93.78279 | 94.47159 | 94.41716 | 92.72671 | 92.66896 | 91.63661 | 91.61939 | 91.63628 | 92.37209 | 92.76661 | 93.97586 | |||||||||||||||||||||||||||
Net intake rate in grade 1, female (% of official school-age population) | SE.PRM.NINT.FE.ZS | 43.34434 | 45.31247 | 38.61167 | 36.20224 | 38.58143 | 40.51367 | 40.43596 | 47.8699 | 46.11029 | ||||||||||||||||||||||||||||||||||||||||||||
Net intake rate in grade 1, male (% of official school-age population) | SE.PRM.NINT.MA.ZS | 44.45462 | 46.4104 | 39.141 | 38.47167 | 39.95894 | 41.71236 | 37.14535 | 43.49261 | 43.11816 | ||||||||||||||||||||||||||||||||||||||||||||
Net intake rate in grade 1 (% of official school-age population) | SE.PRM.NINT.ZS | 43.90889 | 45.87089 | 38.88097 | 37.35711 | 39.28254 | 41.12382 | 38.76072 | 45.64102 | 44.58648 | ||||||||||||||||||||||||||||||||||||||||||||
School enrollment, primary, private (% of total primary) | SE.PRM.PRIV.ZS | 33.16994 | 34.42709 | 23.58844 | 20.74207 | 19.61239 | 19.14996 | 18.12676 | 17.47705 | 17.31277 | 17.61737 | 17.35275 | 17.42109 | 17.48324 | 17.57373 | 17.0694 | 17.09502 | 17.76747 | 17.69531 | 17.65192 | 17.30303 | 15.75903 | 15.86492 | 15.97075 | 16.14265 | 16.32233 | 16.64718 | 15.89865 | 18.19616 | 16.10968 | 16.37894 | 16.8167 | ||||||||||||||||||||||
Persistence to grade 5, female (% of cohort) | SE.PRM.PRS5.FE.ZS | 96.03622 | 96.07432 | 89.54048 | 99.00523 | 92.17947 | 89.87799 | 84.85074 | 89.31979 | |||||||||||||||||||||||||||||||||||||||||||||
Persistence to grade 5, male (% of cohort) | SE.PRM.PRS5.MA.ZS | 91.22414 | 95.59822 | 93.52713 | 90.13441 | 86.56546 | 88.29139 | 89.80897 | 83.12782 | |||||||||||||||||||||||||||||||||||||||||||||
Persistence to grade 5, total (% of cohort) | SE.PRM.PRS5.ZS | 59.98857 | 59.77086 | 51.48492 | 45.58419 | 45.31181 | 50.19643 | 51.20584 | 56.39151 | 58.39954 | 69.07997 | 74.61964 | 75.50647 | 84.48108 | 84.96098 | 83.73633 | 82.69486 | 82.73977 | 84.74279 | 88.20215 | 90.41437 | 90.75125 | 93.52492 | 95.82656 | 91.59145 | 94.32499 | 89.24789 | 89.07134 | 87.35284 | 86.08655 | 91.79967 | |||||||||||||||||||||||
Persistence to last grade of primary, female (% of cohort) | SE.PRM.PRSL.FE.ZS | 92.66709 | 92.18085 | 86.65673 | 88.71967 | 87.05085 | 80.90618 | 82.82456 | ||||||||||||||||||||||||||||||||||||||||||||||
Persistence to last grade of primary, male (% of cohort) | SE.PRM.PRSL.MA.ZS | 86.07519 | 86.68078 | 87.42234 | 83.30077 | 85.709 | 85.94947 | 77.36739 | ||||||||||||||||||||||||||||||||||||||||||||||
Persistence to last grade of primary, total (% of cohort) | SE.PRM.PRSL.ZS | 48.80955 | 49.28971 | 43.27563 | 37.98552 | 37.04645 | 42.94934 | 40.82066 | 49.55267 | 55.80332 | 61.72569 | 69.79971 | 80.29595 | 79.03026 | 77.5472 | 78.61904 | 79.70946 | 79.79753 | 79.90706 | 84.55328 | 87.00325 | 89.22695 | 89.31864 | 87.05061 | 85.88998 | 86.36936 | 83.44681 | 79.97704 | 91.79967 | |||||||||||||||||||||||||
Repeaters, primary, female (% of female enrollment) | SE.PRM.REPT.FE.ZS | 7.38841 | 7.01439 | 6.00173 | 6.15778 | 5.1141 | 3.76843 | 2.89004 | 3.58128 | 2.86538 | 2.65043 | 2.19344 | 2.71614 | 2.71795 | ||||||||||||||||||||||||||||||||||||||||
Repeaters, primary, male (% of male enrollment) | SE.PRM.REPT.MA.ZS | 7.82847 | 6.85512 | 5.70389 | 6.17471 | 5.50376 | 3.77519 | 2.88632 | 5.50875 | 4.45581 | 3.95185 | 3.58357 | 4.33093 | 3.88661 | ||||||||||||||||||||||||||||||||||||||||
Repeaters, primary, total (% of total enrollment) | SE.PRM.REPT.ZS | 11.99455 | 11.27244 | 10.713 | 10.72251 | 10.23375 | 10.98302 | 12.01716 | 8.30135 | 8.79037 | 9.58984 | 9.18013 | 9.30791 | 10.88517 | 10.06127 | 9.69671 | 9.62066 | 9.82815 | 9.67133 | 9.24859 | 8.98517 | 8.42126 | 7.6158 | 6.93209 | 5.84784 | 6.16648 | 5.31431 | 3.7719 | 2.88813 | 4.57855 | 3.68863 | 3.32644 | 2.91008 | 3.55151 | 3.30779 | |||||||||||||||||||
Trained teachers in primary education, female (% of female teachers) | SE.PRM.TCAQ.FE.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Trained teachers in primary education, male (% of male teachers) | SE.PRM.TCAQ.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Trained teachers in primary education (% of total teachers) | SE.PRM.TCAQ.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary education, teachers | SE.PRM.TCHR | 514007 | 534800 | 548424 | 556652 | 573061 | 603327 | 618818 | 549519 | 592439 | 787400 | 855876 | 971893 | 1056447 | 1131271 | 1181807 | 1223387 | 1251900 | 1278889 | 1286286 | 1281407 | 1261089 | 1276217 | 1296103 | 1311571 | 1317976 | 1327178 | 1256426 | 1289720 | 1383914 | 1431486 | 1447984 | 1427974 | 1427583 | 1583589 | 1687371 | 1799973 | 1899946 | ||||||||||||||||
Primary education, teachers (% female) | SE.PRM.TCHR.FE.ZS | 31.79996 | 36.49862 | 36.13615 | 36.55499 | 32.78242 | 49.30506 | 49.70134 | 49.95918 | 50.53687 | 50.47939 | 51.4284 | 52.05613 | 52.25443 | 52.26082 | 53.68291 | 52.23754 | 52.03871 | 54.08093 | 52.29685 | 61.02205 | 57.58028 | 59.0556 | 59.55412 | 59.96613 | |||||||||||||||||||||||||||||
Adjusted net enrollment rate, primary (% of primary school age children) | SE.PRM.TENR | 68.17633 | 69.36963 | 69.17915 | 71.59494 | 74.49356 | 76.87885 | 83.52597 | 88.14738 | 94.90917 | 97.36771 | 96.78759 | 97.78576 | 97.13166 | 96.27058 | 97.19276 | 96.21186 | 94.64171 | 93.81072 | 93.06601 | 91.96741 | 92.56605 | 92.45652 | 91.44203 | 91.42139 | 93.96285 | 95.18265 | 95.31033 | 95.85104 | 96.37284 | 95.08539 | 98.36876 | 98.00733 | 98.74353 | 98.43657 | 99.58862 | ||||||||||||||||||
Adjusted net enrollment rate, primary, female (% of primary school age children) | SE.PRM.TENR.FE | 63.20265 | 64.37369 | 62.02292 | 66.86248 | 70.03677 | 78.89505 | 83.50473 | 90.8068 | 94.43318 | 94.62738 | 94.61059 | 94.17123 | 92.66929 | 91.87716 | 91.0007 | 90.10043 | 90.60538 | 90.43817 | 90.11896 | 90.13552 | 92.29948 | 94.50965 | 94.87324 | 94.99368 | 95.40446 | 93.46369 | |||||||||||||||||||||||||||
Adjusted net enrollment rate, primary, male (% of primary school age children) | SE.PRM.TENR.MA | 73.01976 | 74.23435 | 76.15569 | 76.21471 | 78.85167 | 88.06628 | 92.69802 | 98.92669 | 99.08892 | 97.87382 | 99.71044 | 98.20012 | 96.56228 | 95.69258 | 95.0752 | 93.78279 | 94.47159 | 94.41716 | 92.72671 | 92.66896 | 95.57331 | 95.83402 | 95.73314 | 96.67997 | 97.30866 | 96.65198 | |||||||||||||||||||||||||||
Children out of school, primary | SE.PRM.UNER | 5980831 | 5911106 | 6276900 | 5937605 | 5461254 | 5070586 | 3696782 | 2814217 | 1228105 | 644787 | 798401 | 557721 | 731026 | 961096 | 731659 | 998284 | 1426344 | 1661494 | 1877216 | 2186838 | 2027947 | 2054663 | 2318695 | 2308097 | 1599485 | 1272138 | 1236013 | 1090144 | 948474 | 1277402 | 421016 | 510605 | 320801 | 399571 | 105670 | ||||||||||||||||||
Children out of school, primary, female | SE.PRM.UNER.FE | 3411907 | 3391870 | 3817993 | 3421688 | 3171846 | 2344588 | 1938670 | 1097290 | 683892 | 683759 | 693448 | 758041 | 962699 | 1075502 | 1201399 | 1328676 | 1263130 | 1283320 | 1318883 | 1306967 | 1003605 | 713088 | 664387 | 646619 | 590578 | 834772 | |||||||||||||||||||||||||||
Children out of school, primary, male | SE.PRM.UNER.MA | 2568924 | 2519236 | 2458907 | 2515917 | 2289408 | 1352194 | 875547 | 130815 | 114509 | 277337 | 38211 | 240243 | 463645 | 585992 | 675817 | 858162 | 764817 | 771343 | 999812 | 1001130 | 595880 | 559050 | 571626 | 443525 | 357896 | 442630 | |||||||||||||||||||||||||||
Secondary school starting age (years) | SE.SEC.AGES | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | ||||||||||
Secondary education, duration (years) | SE.SEC.DURS | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | ||||||||||
Secondary education, pupils | SE.SEC.ENRL | 2459875 | 2640400 | 2783738 | 2965852 | 3189469 | 3570080 | 3833129 | 4084307 | 4467512 | 5721815 | 6320013 | 7222213 | 7445917 | 9479086 | 10906515 | 11545063 | 11693361 | 11243323 | 10965430 | 10920580 | 10969305 | 11360349 | 12223753 | 13095913 | 14209974 | 14263912 | 14828085 | 15140713 | 15872535 | 16353933 | 15993187 | 16797809 | 18716929 | 18314900 | 19520704 | 19975916 | |||||||||||||||||
Secondary education, pupils (% female) | SE.SEC.ENRL.FE.ZS | 34.16979 | 36.45042 | 35.68155 | 35.93338 | 36.69915 | 38.26668 | 38.49109 | 38.66245 | 39.1241 | 40.12543 | 40.48901 | 41.90338 | 41.88485 | 43.9857 | 44.41371 | 44.86594 | 44.52828 | 44.64785 | 44.10706 | 45.18278 | 45.45846 | 45.65486 | 48.07133 | 48.7841 | 48.98272 | 48.97066 | 49.07068 | 48.96249 | 49.33718 | 49.35088 | 49.00961 | 49.00622 | 49.25902 | ||||||||||||||||||||
Secondary education, general pupils | SE.SEC.ENRL.GC | 1815645 | 1955806 | 2102558 | 2246893 | 2400044 | 2709953 | 2881499 | 3088243 | 3371231 | 4879361 | 5475099 | 6328508 | 6511390 | 7042001 | 8311594 | 9532538 | 10048870 | 10223123 | 9757174 | 9510766 | 9506882 | 9538778 | 9919480 | 10631996 | 11430633 | 12442813 | 12210019 | 12894148 | 13113249 | 13772782 | 14155490 | 13829119 | 14565882 | 16315197 | 15575938 | 16425000 | 16656848 | ||||||||||||||||
Secondary education, general pupils (% female) | SE.SEC.ENRL.GC.FE.ZS | 37.09998 | 38.90509 | 37.36805 | 37.6021 | 38.99999 | 40.17922 | 40.49705 | 40.93739 | 41.28732 | 40.77911 | 40.80522 | 42.22321 | 41.94889 | 42.23755 | 44.13457 | 44.70038 | 45.05003 | 45.38672 | 45.44938 | 44.76075 | 45.943 | 45.90937 | 46.0964 | 48.97884 | 49.61616 | 49.90974 | 49.84946 | 49.96591 | 49.98712 | 50.47041 | 50.51358 | 50.36809 | 50.50236 | 50.80133 | |||||||||||||||||||
Pupil-teacher ratio, secondary | SE.SEC.ENRL.TC.ZS | 13.10005 | 13.63815 | 12.84415 | 13.43108 | 14.36685 | 16.10254 | 14.85468 | 15.66601 | 15.37848 | 15.26774 | 15.10553 | 14.82182 | 12.9166 | 13.54265 | 13.82294 | 14.0878 | 14.13826 | 14.27041 | 14.39865 | 15.7838 | 14.25666 | 13.58158 | 14.23421 | 14.20076 | 12.47833 | 12.26633 | 13.0443 | 11.95971 | 12.59356 | 12.17648 | |||||||||||||||||||||||
Secondary education, vocational pupils | SE.SEC.ENRL.VO | 644230 | 684594 | 681180 | 718959 | 789425 | 860127 | 951630 | 996064 | 1096281 | 842454 | 844914 | 893705 | 934527 | 1167492 | 1373977 | 1496193 | 1470238 | 1486149 | 1454664 | 1413698 | 1430527 | 1440869 | 1591757 | 1665280 | 1767161 | 2053893 | 1933937 | 2027464 | 2099753 | 2198443 | 2164068 | 2231927 | 2401732 | 2738962 | 3095704 | 3319068 | |||||||||||||||||
Secondary education, vocational pupils (% female) | SE.SEC.ENRL.VO.FE.ZS | 25.91155 | 29.43774 | 30.47594 | 30.7183 | 29.70403 | 32.24094 | 32.41712 | 31.60911 | 32.47188 | 36.33943 | 38.44001 | 39.63858 | 41.43861 | 42.98583 | 42.42041 | 43.65733 | 38.91565 | 39.25768 | 39.74822 | 39.94909 | 42.44668 | 42.62412 | 42.67632 | 43.23652 | 42.98695 | 43.20637 | 43.30638 | 42.4147 | 41.94152 | 41.45254 | 41.28418 | 41.06811 | 41.51885 | ||||||||||||||||||||
School enrollment, secondary (% gross) | SE.SEC.ENRR | 17.59602 | 17.9747 | 18.10866 | 18.46851 | 19.06836 | 20.55394 | 21.32036 | 22.06142 | 23.47667 | 27.72459 | 29.87018 | 33.32403 | 33.58809 | 41.04252 | 46.4443 | 48.3809 | 48.25004 | 45.71995 | 43.99844 | 43.30702 | 43.02472 | 44.08231 | 46.92078 | 49.69974 | 53.43017 | 52.81296 | 54.97717 | 56.40542 | 59.51767 | 61.70837 | 60.64027 | 63.8898 | 71.49924 | 70.18403 | 75.05736 | 77.15272 | |||||||||||||||||
School enrollment, secondary, female (% gross) | SE.SEC.ENRR.FE | 12.18953 | 13.30667 | 13.12578 | 13.47373 | 14.19957 | 15.95489 | 16.64564 | 17.29648 | 18.62266 | 22.52309 | 24.46337 | 28.22351 | 28.42077 | 43.00426 | 43.32089 | 41.48235 | 39.63442 | 39.12137 | 38.40092 | 40.31113 | 43.1777 | 45.94359 | 51.47305 | 54.40477 | 56.04948 | 59.14225 | 61.46786 | 60.29889 | 64.04573 | 71.67552 | 69.86863 | 74.72939 | 77.24106 | ||||||||||||||||||||
School enrollment, secondary, male (% gross) | SE.SEC.ENRR.MA | 22.85853 | 22.50248 | 22.93986 | 23.31644 | 23.79942 | 25.02548 | 25.86615 | 26.69728 | 28.20076 | 32.80112 | 35.15675 | 38.31877 | 38.65311 | 53.64792 | 53.07526 | 49.8652 | 48.26427 | 47.39746 | 47.54211 | 47.76547 | 50.57499 | 53.36497 | 54.11706 | 55.53371 | 56.75145 | 59.88245 | 61.94189 | 60.97142 | 63.73867 | 71.32831 | 70.48986 | 75.37528 | 77.06715 | ||||||||||||||||||||
School enrollment, secondary (% net) | SE.SEC.NENR | 15.79331 | 16.13336 | 16.64782 | 17.98722 | 18.85152 | 19.19047 | 20.39909 | 41.23934 | 41.24583 | 46.67883 | 49.08716 | 50.12947 | 52.90949 | 54.75645 | 55.97764 | 58.72573 | 65.7225 | 64.51148 | 65.13838 | 67.2825 | |||||||||||||||||||||||||||||||||
School enrollment, secondary, female (% net) | SE.SEC.NENR.FE | 11.84415 | 12.07806 | 12.65847 | 14.25428 | 15.00677 | 15.505 | 16.6662 | 38.15222 | 45.49446 | 48.72346 | 49.82236 | 52.57939 | 54.55585 | 55.68681 | 58.87886 | 65.89253 | 64.25595 | 64.5923 | 67.02053 | ||||||||||||||||||||||||||||||||||
School enrollment, secondary, male (% net) | SE.SEC.NENR.MA | 19.62225 | 20.06944 | 20.52432 | 21.61667 | 22.59022 | 22.7761 | 24.03206 | 44.26598 | 47.83154 | 49.44077 | 50.42803 | 53.23023 | 54.95123 | 56.25975 | 58.57732 | 65.55762 | 64.75926 | 65.66771 | 67.53624 | ||||||||||||||||||||||||||||||||||
School enrollment, secondary, private (% of total secondary) | SE.SEC.PRIV.ZS | 42.70587 | 42.70359 | 42.72116 | 42.93786 | 42.94235 | 44.16943 | 43.48848 | 48.77377 | 42.88536 | 43.27081 | 41.83039 | ||||||||||||||||||||||||||||||||||||||||||
Progression to secondary school, female (%) | SE.SEC.PROG.FE.ZS | 62.57123 | 78.85503 | 82.80925 | 83.52443 | 78.28921 | 88.85369 | 98.02667 | 93.00364 | 92.65643 | 89.89653 | |||||||||||||||||||||||||||||||||||||||||||
Progression to secondary school, male (%) | SE.SEC.PROG.MA.ZS | 72.27568 | 77.16381 | 80.20934 | 83.51766 | 78.63077 | 88.12996 | 99.27885 | 86.47334 | 91.05989 | 89.39663 | |||||||||||||||||||||||||||||||||||||||||||
Progression to secondary school (%) | SE.SEC.PROG.ZS | 30.02458 | 52.26019 | 50.75131 | 52.6332 | 54.74265 | 67.45868 | 78.00011 | 81.49246 | 83.52099 | 78.4617 | 88.48776 | 98.66283 | 89.64626 | 91.83875 | 89.64311 | ||||||||||||||||||||||||||||||||||||||
Repeaters, secondary, female (% of female enrollment) | SE.SEC.REPT.FE.ZS | 0.70038 | 0.70748 | 0.65079 | 0.62453 | 0.56408 | 0.65054 | 0.32192 | 0.18058 | 0.15235 | 0.19787 | 0.20096 | 0.18917 | 0.28034 | 0.35661 | 0.27795 | 0.33212 | 0.40114 | 0.31526 | |||||||||||||||||||||||||||||||||||
Repeaters, secondary, male (% of male enrollment) | SE.SEC.REPT.MA.ZS | 1.20941 | 1.2571 | 1.1363 | 1.19135 | 1.07873 | 0.98371 | 1.12793 | 0.58244 | 0.57677 | 0.49363 | 0.65338 | 0.60176 | 0.70769 | 0.66611 | 0.62607 | 0.59372 | 0.79658 | 0.78722 | |||||||||||||||||||||||||||||||||||
Repeaters, secondary, total (% of total enrollment) | SE.SEC.REPT.ZS | 2.90693 | 2.8344 | 2.42904 | 2.19871 | 1.98804 | 1.99955 | 1.95969 | 2.33559 | 1.72516 | 1.79927 | 1.81648 | 1.63243 | 1.66529 | 1.88014 | 1.26613 | 1.0802 | 0.98187 | 1.00949 | 0.91594 | 0.93373 | 0.84837 | 0.83064 | 0.75789 | 0.38561 | 0.36619 | 0.34602 | 0.42785 | 0.39561 | 0.49407 | 0.5099 | 0.45022 | 0.46196 | 0.59688 | 0.54746 | |||||||||||||||||||
Secondary education, teachers | SE.SEC.TCHR | 187776 | 193604 | 216732 | 220820 | 222002 | 238045 | 385186 | 403422 | 469631 | 567223 | 620857 | 764294 | 788929 | 870455 | 806384 | 793558 | 806396 | 864587 | 917697 | 986896 | 903706 | 1040081 | 1114798 | 1115098 | 1151624 | 1281677 | 1369424 | 1434874 | 1531383 | 1550054 | 1640533 | ||||||||||||||||||||||
Secondary education, teachers, female | SE.SEC.TCHR.FE | 45079 | 47153 | 47956 | 52921 | 248436 | 256749 | 288166 | 282717 | 276943 | 288355 | 321859 | 362176 | 376380 | 417499 | 442761 | 456491 | 458983 | 557070 | 701550 | 723525 | 737154 | 786985 | |||||||||||||||||||||||||||||||
Secondary education, teachers (% female) | SE.SEC.TCHR.FE.ZS | 20.79942 | 21.35359 | 21.60161 | 22.23151 | 32.50529 | 32.54399 | 33.10522 | 35.05985 | 34.8989 | 35.75849 | 37.22691 | 39.46575 | 41.6485 | 40.14101 | 39.7167 | 40.9373 | 39.85528 | 43.46415 | 48.89279 | 47.24651 | 47.55667 | 47.9713 | |||||||||||||||||||||||||||||||
School enrollment, tertiary (% gross) | SE.TER.ENRR | 2.75708 | 2.71332 | 2.6539 | 2.57923 | 2.49664 | 2.50078 | 2.53494 | 2.49087 | 2.59852 | 3.4065 | 3.74788 | 3.78273 | 4.00607 | 5.26098 | 6.03194 | 7.45455 | 6.74326 | 7.79307 | 8.23123 | 9.27127 | 9.24021 | 10.36804 | 11.16062 | 11.37587 | 14.71884 | 14.04357 | 14.60953 | 15.67749 | 16.07159 | 16.52611 | 16.50521 | 17.27301 | 20.19529 | 22.35115 | 23.11997 | ||||||||||||||||||
School enrollment, tertiary, female (% gross) | SE.TER.ENRR.FE | 1.35765 | 1.47361 | 1.46737 | 1.44511 | 2.38919 | 2.60092 | 3.31982 | 3.9426 | 7.35734 | 8.63161 | 8.01125 | 13.7824 | 12.14599 | 13.53801 | 13.89069 | 14.21506 | 15.75936 | 17.20067 | 19.34409 | 21.87742 | 21.79132 | ||||||||||||||||||||||||||||||||
School enrollment, tertiary, male (% gross) | SE.TER.ENRR.MA | 4.21667 | 3.98848 | 3.85451 | 3.59156 | 5.13944 | 5.37421 | 7.1518 | 8.06905 | 11.09092 | 13.6443 | 14.67874 | 15.63905 | 15.90667 | 15.66215 | 17.43289 | 17.89481 | 17.23632 | 17.34396 | 21.03049 | 22.81591 | 24.42267 | ||||||||||||||||||||||||||||||||
Tertiary education, teachers (% female) | SE.TER.TCHR.FE.ZS | 17.15993 | 17.92142 | 18.03702 | 8.08409 | 40.76209 | 39.70033 | 39.31153 | 39.46638 | 40.88699 | 40.45371 | 40.1547 | 40.78733 | |||||||||||||||||||||||||||||||||||||||||
Expenditure per student, primary (% of GDP per capita) | SE.XPD.PRIM.PC.ZS | 8.18183 | 0 | 0 | 0 | 0 | 0 | 11.49085 | 11.33554 | 13.4198 | 10.5384 | |||||||||||||||||||||||||||||||||||||||||||
Expenditure per student, secondary (% of GDP per capita) | SE.XPD.SECO.PC.ZS | 46.80311 | 6.54674 | 12.15618 | 10.66808 | 11.56892 | 10.62635 | 9.49279 | 9.40331 | 10.93107 | 8.75897 | |||||||||||||||||||||||||||||||||||||||||||
Expenditure per student, tertiary (% of GDP per capita) | SE.XPD.TERT.PC.ZS | 172.96124 | 23.50263 | 26.9875 | 30.02019 | 27.59229 | 23.71581 | 16.93602 | 20.95239 | 23.0939 | ||||||||||||||||||||||||||||||||||||||||||||
Public spending on education, total (% of government expenditure) | SE.XPD.TOTL.GB.ZS | 11.45362 | 14.27725 | 15.98421 | 14.17022 | 14.87495 | 17.2157 | 15.87477 | 14.56848 | 21.08274 | 17.14149 | |||||||||||||||||||||||||||||||||||||||||||
Public spending on education, total (% of GDP) | SE.XPD.TOTL.GD.ZS | 2.64225 | 0.82737 | 0.99855 | 1.00435 | 1.07855 | 1.07208 | 2.46003 | 2.64569 | 3.218 | 2.74847 | 2.87282 | 3.59965 | 3.04425 | 2.9019 | 3.52513 | 2.99923 | |||||||||||||||||||||||||||||||||||||
Female legislators, senior officials and managers (% of total) | SG.GEN.LSOM.ZS | 22 | 19.7222222222 | 22.0991253644 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Proportion of seats held by women in national parliaments (%) | SG.GEN.PARL.ZS | 12.4 | 11.4 | 11.4 | 8 | 8 | 8 | 8 | 11.3 | 11.3 | 11.3 | 11.6 | 11.6 | 17.9 | 18 | 18.2 | 18.2 | |||||||||||||||||||||||||||||||||||||
Condom use, population ages 15-24, female (% of females ages 15-24) | SH.CON.1524.FE.ZS | 1.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Condom use, population ages 15-24, male (% of males ages 15-24) | SH.CON.1524.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Number of infant deaths | SH.DTH.IMRT | 505000 | 500000 | 493000 | 488000 | 486000 | 485000 | 485000 | 482000 | 478000 | 473000 | 467000 | 456000 | 445000 | 434000 | 424000 | 416000 | 406000 | 398000 | 391000 | 385000 | 379000 | 370000 | 361000 | 352000 | 341000 | 328000 | 312000 | 296000 | 279000 | 264000 | 251000 | 241000 | 233000 | 225000 | 219000 | 211000 | 202000 | 189000 | 179000 | 171000 | 166000 | 163000 | 161000 | 159000 | 155000 | 151000 | 143000 | 134000 | 125000 | 116000 | 109000 | 104000 | |
Number of under-five deaths | SH.DTH.MORT | 832000 | 829000 | 820000 | 812000 | 808000 | 807000 | 803000 | 794000 | 783000 | 770000 | 756000 | 738000 | 719000 | 701000 | 682000 | 667000 | 650000 | 635000 | 622000 | 610000 | 598000 | 583000 | 567000 | 549000 | 530000 | 508000 | 485000 | 459000 | 432000 | 408000 | 386000 | 366000 | 350000 | 334000 | 322000 | 307000 | 292000 | 273000 | 256000 | 243000 | 233000 | 226000 | 219000 | 214000 | 207000 | 199000 | 189000 | 177000 | 165000 | 152000 | 143000 | 134000 | |
Number of neonatal deaths | SH.DTH.NMRT | 140000 | 135000 | 130000 | 125000 | 121000 | 117000 | 113000 | 109000 | 105000 | 103000 | 101000 | 99000 | 96000 | 93000 | 89000 | 86000 | 83000 | 79000 | 76000 | 72000 | 69000 | 66000 | |||||||||||||||||||||||||||||||
Women's share of population ages 15+ living with HIV (%) | SH.DYN.AIDS.FE.ZS | 29.8 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of HIV, total (% of population ages 15-49) | SH.DYN.AIDS.ZS | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.2 | 0.2 | 0.2 | 0.2 | 0.3 | |||||||||||||||||||||||||||||||
Mortality rate, female child (per 1,000 female children age one) | SH.DYN.CHLD.FE | 41.7 | 34.8 | 26.5 | 19.5 | 11 | 12 | |||||||||||||||||||||||||||||||||||||||||||||||
Mortality rate, male child (per 1,000 male children age one) | SH.DYN.CHLD.MA | 36.6 | 36 | 29.9 | 19.2 | 12.9 | 13 | |||||||||||||||||||||||||||||||||||||||||||||||
Mortality rate, under-5 (per 1,000 live births) | SH.DYN.MORT | 216.4 | 210.8 | 204.9 | 199.7 | 195.4 | 191.3 | 186.8 | 181.1 | 175.2 | 169.1 | 163.5 | 157.5 | 152.1 | 147.3 | 142.7 | 138.5 | 134.1 | 130.1 | 126.4 | 123.2 | 119.9 | 116.1 | 112.1 | 108.1 | 104.3 | 100.3 | 96.5 | 92.7 | 88.7 | 85.1 | 81.6 | 78 | 74.5 | 71.1 | 68.3 | 65.3 | 62.6 | 59.4 | 56.7 | 54.5 | 52.5 | 50.5 | 48.2 | 46 | 43.9 | 42 | 40.1 | 38.2 | 36.8 | 34.8 | 33.3 | 31.8 | |
Mortality rate, neonatal (per 1,000 live births) | SH.DYN.NMRT | 29.2 | 28.5 | 27.7 | 26.9 | 26.2 | 25.4 | 24.8 | 23.9 | 23.2 | 22.6 | 22 | 21.4 | 20.8 | 20.1 | 19.4 | 18.8 | 18.2 | 17.6 | 17.1 | 16.4 | 15.9 | 15.3 | |||||||||||||||||||||||||||||||
Improved water source, rural (% of rural population with access) | SH.H2O.SAFE.RU.ZS | 61 | 62 | 63 | 63 | 64 | 65 | 65 | 66 | 66 | 67 | 68 | 68 | 69 | 70 | 70 | 71 | 72 | 72 | 73 | 73 | 74 | ||||||||||||||||||||||||||||||||
Improved water source, urban (% of urban population with access) | SH.H2O.SAFE.UR.ZS | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 92 | 92 | 92 | ||||||||||||||||||||||||||||||||
Improved water source (% of population with access) | SH.H2O.SAFE.ZS | 70 | 71 | 72 | 72 | 73 | 74 | 75 | 76 | 76 | 77 | 78 | 78 | 78 | 79 | 79 | 80 | 80 | 80 | 81 | 81 | 82 | ||||||||||||||||||||||||||||||||
Children (0-14) living with HIV | SH.HIV.0014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of HIV, female (% ages 15-24) | SH.HIV.1524.FE.ZS | 0.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of HIV, male (% ages 15-24) | SH.HIV.1524.MA.ZS | 0.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Antiretroviral therapy coverage (% of people with advanced HIV infection) | SH.HIV.ARTC.ZS | 24 | 24 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Immunization, DPT (% of children ages 12-23 months) | SH.IMM.IDPT | 1 | 1 | 6 | 13 | 27 | 47 | 50 | 54 | 57 | 60 | 62 | 64 | 66 | 68 | 69 | 72 | 73 | 72 | 72 | 71 | 71 | 70 | 71 | 71 | 72 | 72 | 72 | 58 | 62 | 63 | 63 | ||||||||||||||||||||||
Immunization, measles (% of children ages 12-23 months) | SH.IMM.MEAS | 6 | 13 | 26 | 45 | 48 | 51 | 54 | 58 | 61 | 65 | 68 | 66 | 63 | 79 | 77 | 76 | 75 | 74 | 73 | 72 | 74 | 76 | 77 | 79 | 82 | 80 | 82 | 89 | 89 | ||||||||||||||||||||||||
Hospital beds (per 1,000 people) | SH.MED.BEDS.ZS | 0.740457058 | 0.6546000242 | 0.8183000088 | 0.5568000078 | 0.7026000023 | 0.665199995 | 0.6686000228 | 0.6650000215 | 0.6575999856 | 0.6600999832 | 0.6 | 0.6 | 0.6 | ||||||||||||||||||||||||||||||||||||||||
Community health workers (per 1,000 people) | SH.MED.CMHW.P3 | 0.001 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Nurses and midwives (per 1,000 people) | SH.MED.NUMW.P3 | 0.82 | 2.041 | 2.041 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Physicians (per 1,000 people) | SH.MED.PHYS.ZS | 0.0206178986 | 0.0315454416 | 0.0373000018 | 0.0370999984 | 0.0854000002 | 0.0803000033 | 0.1062999964 | 0.1422999948 | 0.1441999972 | 0.1476999968 | 0.1501999944 | 0.1615999937 | 0.1599999964 | 0.162 | 0.13 | 0.13 | 0.288 | 0.288 | |||||||||||||||||||||||||||||||||||
Notified cases of malaria (per 100,000 people) | SH.MLR.INCD | 1645 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Use of insecticide-treated bed nets (% of under-5 population) | SH.MLR.NETS.ZS | 0.1000000015 | 3.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children with fever receiving antimalarial drugs (% of children under age 5 with fever) | SH.MLR.TRET.ZS | 0.7 | 0.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Number of maternal deaths | SH.MMR.DTHS | 29000 | 19000 | 16000 | 12000 | 9600 | ||||||||||||||||||||||||||||||||||||||||||||||||
Lifetime risk of maternal death (1 in: rate varies by country) | SH.MMR.RISK | 49 | 81 | 110 | 150 | 210 | ||||||||||||||||||||||||||||||||||||||||||||||||
Lifetime risk of maternal death (%) | SH.MMR.RISK.ZS | 2.0222644364 | 1.2364974455 | 0.8987045984 | 0.6599876479 | 0.4801183337 | ||||||||||||||||||||||||||||||||||||||||||||||||
Smoking prevalence, females (% of adults) | SH.PRV.SMOK.FE | 5.2 | 5.101548 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Smoking prevalence, males (% of adults) | SH.PRV.SMOK.MA | 65.6 | 61.30266 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Improved sanitation facilities (% of population with access) | SH.STA.ACSN | 32 | 33 | 34 | 36 | 37 | 38 | 40 | 41 | 42 | 44 | 44 | 45 | 46 | 47 | 49 | 50 | 50 | 51 | 52 | 54 | 54 | ||||||||||||||||||||||||||||||||
Improved sanitation facilities, rural (% of rural population with access) | SH.STA.ACSN.RU | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 39 | ||||||||||||||||||||||||||||||||
Improved sanitation facilities, urban (% of urban population with access) | SH.STA.ACSN.UR | 56 | 57 | 58 | 59 | 60 | 60 | 61 | 62 | 63 | 64 | 64 | 65 | 66 | 67 | 68 | 69 | 69 | 70 | 71 | 72 | 73 | ||||||||||||||||||||||||||||||||
Pregnant women receiving prenatal care (%) | SH.STA.ANVC.ZS | 76.3 | 82.3 | 89.4 | 88.3 | 91.5 | 88.6 | 90.38 | 91.23 | 92.65 | 94.51 | 95.26 | ||||||||||||||||||||||||||||||||||||||||||
ARI treatment (% of children under 5 taken to a health provider) | SH.STA.ARIC.ZS | 64.4194646634 | 62.7800042033 | 68.8 | 61.2747900164 | 66.4 | ||||||||||||||||||||||||||||||||||||||||||||||||
Exclusive breastfeeding (% of children under 6 months) | SH.STA.BFED.ZS | 39.5 | 32 | 15.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Births attended by skilled health staff (% of total) | SH.STA.BRTC.ZS | 36.3 | 40.7 | 31.7 | 36.5 | 49.7 | 43.2 | 56 | 66.9 | 68.4 | 66.3 | 71.5 | 79.4 | 74.86 | 82.2 | |||||||||||||||||||||||||||||||||||||||
Low-birthweight babies (% of births) | SH.STA.BRTW.ZS | 9.1 | 9.7 | 10.3 | 9 | 8.8 | 11.1 | |||||||||||||||||||||||||||||||||||||||||||||||
Malnutrition prevalence, weight for age (% of children under 5) | SH.STA.MALN.ZS | 35.9 | 31 | 29.8 | 27.4 | 25.8 | 22.8 | 24.8 | 23.4 | 23 | 23.1 | 19.7 | 24.4 | 19.6 | 18.6 | |||||||||||||||||||||||||||||||||||||||
Maternal mortality ratio (modeled estimate, per 100,000 live births) | SH.STA.MMRT | 600 | 420 | 340 | 270 | 220 | ||||||||||||||||||||||||||||||||||||||||||||||||
Maternal mortality ratio (national estimate, per 100,000 live births) | SH.STA.MMRT.NE | 307 | 230 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) | SH.STA.ORCF.ZS | 60.6 | 56.0351550865 | 54.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of overweight (% of children under 5) | SH.STA.OWGH.ZS | 1.5 | 1.5 | 5.1 | 11.2 | 12.3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Malnutrition prevalence, height for age (% of children under 5) | SH.STA.STNT.ZS | 42.4 | 41.6 | 28.6 | 40.1 | 39.2 | ||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of wasting (% of children under 5) | SH.STA.WAST.ZS | 5.5 | 5.4 | 14.4 | 14.8 | 12.3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Tuberculosis treatment success rate (% of registered cases) | SH.TBS.CURE.ZS | 94 | 91 | 81 | 54 | 58 | 50 | 87 | 86 | 86 | 87 | 90 | 91 | 91 | 91 | 91 | 91 | 90 | ||||||||||||||||||||||||||||||||||||
Tuberculosis case detection rate (%, all forms) | SH.TBS.DTEC.ZS | 20 | 16 | 25 | 16 | 12 | 8.7 | 6 | 5.3 | 9.5 | 16 | 19 | 21 | 35 | 39 | 47 | 56 | 61 | 61 | 65 | 65 | 66 | 70 | |||||||||||||||||||||||||||||||
Incidence of tuberculosis (per 100,000 people) | SH.TBS.INCD | 206 | 205 | 205 | 205 | 205 | 205 | 204 | 204 | 204 | 204 | 204 | 204 | 204 | 202 | 201 | 199 | 197 | 195 | 193 | 191 | 189 | 187 | |||||||||||||||||||||||||||||||
Newborns protected against tetanus (%) | SH.VAC.TTNS.ZS | 87 | 83 | 79 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Outpatient visits per capita | SH.VST.OUTP | |||||||||||||||||||||||||||||||||||||||||||||||||||||
External resources for health (% of total expenditure on health) | SH.XPD.EXTR.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.9637568019 | 1.3050322464 | 1.4086251509 | 1.8299334924 | 1.5061388659 | 1.3844309451 | 1.5346228456 | 1.379786609 | 1.3247195656 | |||||||||||||||||||||||||||||||||||||
Out-of-pocket health expenditure (% of total expenditure on health) | SH.XPD.OOPC.TO.ZS | 46.6190622904 | 46.3553275162 | 47.2741108331 | 47.9866893976 | 48.6025365834 | 46.217885309 | 41.5260721281 | 44.6751901614 | 44.4127067264 | 44.7094995949 | 33.6566972902 | 43.1354490308 | 40.6413346096 | 40.2952795759 | 40.5046702841 | 38.2535166293 | |||||||||||||||||||||||||||||||||||||
Out-of-pocket health expenditure (% of private expenditure on health) | SH.XPD.OOPC.ZS | 72.5085382593 | 72.5525830539 | 72.6115619118 | 73.1518372562 | 73.4569731321 | 72.8958959603 | 73.5170320075 | 72.1687287042 | 74.109484205 | 73.87991441 | 65.3109191019 | 73.6304327879 | 74.9486310817 | 75.2852397104 | 75.1534865485 | 75.1296908169 | |||||||||||||||||||||||||||||||||||||
Health expenditure per capita (current US$) | SH.XPD.PCAP | 20.8581049043 | 23.5581748107 | 21.2416705688 | 10.0806530374 | 16.1278300076 | 15.842502523 | 17.3257985184 | 20.751164852 | 27.8414908964 | 28.0962834906 | 26.8435713499 | 39.6563677393 | 50.5679681883 | 53.3609357782 | 56.3513708821 | 76.8932152282 | |||||||||||||||||||||||||||||||||||||
Health expenditure per capita, PPP (constant 2005 international $) | SH.XPD.PCAP.PP.KD | 44.7130399627 | 49.2465910978 | 49.8138765451 | 46.9382985154 | 52.3467749322 | 46.7686494713 | 55.8359410095 | 58.3092026563 | 69.7719518061 | 70.6260812424 | 66.2157256058 | 83.5555896077 | 98.3838594954 | 95.2639452365 | 100.4436931358 | 112.0697208962 | |||||||||||||||||||||||||||||||||||||
Health expenditure, private (% of GDP) | SH.XPD.PRIV.ZS | 1.156402564 | 1.1704936589 | 1.149409316 | 1.259669303 | 1.4048931605 | 1.2495078198 | 1.269091283 | 1.384352982 | 1.5184230858 | 1.4328771925 | 1.0607679229 | 1.4651509835 | 1.4747882761 | 1.3151657765 | 1.3368802317 | 1.3291610079 | |||||||||||||||||||||||||||||||||||||
Health expenditure, public (% of total health expenditure) | SH.XPD.PUBL | 35.7054170315 | 36.1079570637 | 34.8945132312 | 34.4012519747 | 33.8353671394 | 36.5974110063 | 43.5150318312 | 38.0961935126 | 40.0714939486 | 39.4835525298 | 48.4669673111 | 41.4162766705 | 45.7744137244 | 46.4765208547 | 46.104070291 | 49.083356775 | |||||||||||||||||||||||||||||||||||||
Health expenditure, public (% of government expenditure) | SH.XPD.PUBL.GX.ZS | 4.1102619007 | 4.2714221708 | 3.3200126581 | 3.4219495792 | 3.7436288043 | 4.5260174928 | 4.7124118633 | 4.8174936681 | 5.1456332293 | 5.0243967826 | 5.4310377103 | 5.1845546444 | 6.4919464782 | 5.7332594998 | 6.8367120516 | 7.7523856609 | |||||||||||||||||||||||||||||||||||||
Health expenditure, public (% of GDP) | SH.XPD.PUBL.ZS | 0.6421977389 | 0.6614929315 | 0.6160475956 | 0.6605949412 | 0.718436328 | 0.7212442262 | 0.9776857342 | 0.8519440416 | 1.0153011564 | 0.9348711675 | 0.9976553205 | 1.0358013292 | 1.2449393975 | 1.1420096491 | 1.1436043595 | 1.2813037119 | |||||||||||||||||||||||||||||||||||||
Health expenditure, total (% of GDP) | SH.XPD.TOTL.ZS | 1.7986003029 | 1.8319865904 | 1.7654569116 | 1.9202642442 | 2.1233294885 | 1.9707520459 | 2.2467770171 | 2.2362970236 | 2.5337242422 | 2.36774836 | 2.0584232434 | 2.5009523127 | 2.7197276736 | 2.4571754257 | 2.4804845912 | 2.6104647198 | |||||||||||||||||||||||||||||||||||||
Income share held by second 20% | SI.DST.02ND.20 | 12.93 | 13.18 | 13.19 | 13.15 | 12.67 | 13.35 | 13.02 | 12.03 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by third 20% | SI.DST.03RD.20 | 16.88 | 16.84 | 16.83 | 16.74 | 16.33 | 16.83 | 16.53 | 15.83 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by fourth 20% | SI.DST.04TH.20 | 22.05 | 21.83 | 21.69 | 21.53 | 21.28 | 21.36 | 21.3 | 21.04 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by highest 20% | SI.DST.05TH.20 | 39.46 | 38.79 | 38.9 | 39.11 | 40.71 | 38.88 | 39.62 | 42.76 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by highest 10% | SI.DST.10TH.10 | 24.91 | 24.61 | 24.68 | 25.01 | 26.57 | 25.08 | 25.6 | 28.51 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by lowest 10% | SI.DST.FRST.10 | 3.74 | 4.07 | 4.17 | 4.22 | 4 | 4.25 | 4.29 | 3.67 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by lowest 20% | SI.DST.FRST.20 | 8.68 | 9.36 | 9.39 | 9.47 | 9.01 | 9.58 | 9.53 | 8.34 | |||||||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at $2 a day (PPP) (% of population) | SI.POV.2DAY | 88.4 | 91.1 | 84.59 | 84.57 | 77.01 | 81.55 | 66.97 | 53.8 | 63.35 | 56.13 | 54.4 | 52.68 | 46.12 | ||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at $1.25 a day (PPP) (% of population) | SI.POV.DDAY | 62.84 | 68.16 | 54.27 | 54.4 | 43.38 | 47.7 | 29.31 | 21.44 | 28.63 | 24.2 | 22.64 | 20.42 | 18.06 | ||||||||||||||||||||||||||||||||||||||||
Poverty gap at $2 a day (PPP) (%) | SI.POV.GAP2 | 42.83 | 45.38 | 36.97 | 37.07 | 30.67 | 33.26 | 22.44 | 17.28 | 21.97 | 18.57 | 17.67 | 16.52 | 14.29 | ||||||||||||||||||||||||||||||||||||||||
Poverty gap at $1.25 a day (PPP) (%) | SI.POV.GAPS | 21.36 | 23.14 | 15.62 | 15.67 | 11.44 | 12.52 | 6.03 | 4.56 | 6.74 | 5.16 | 4.73 | 4.09 | 3.31 | ||||||||||||||||||||||||||||||||||||||||
GINI index | SI.POV.GINI | 30.47 | 29.27 | 29.19 | 29.31 | 31.33 | 28.99 | 29.74 | 34.01 | |||||||||||||||||||||||||||||||||||||||||||||
Poverty gap at national poverty line (%) | SI.POV.NAGP | 3.1 | 3 | 2.9 | 3.7 | 5.1 | 2.8 | 2.5 | 2.2 | 2.1 | ||||||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at national poverty line (% of population) | SI.POV.NAHC | 17.6 | 23.4 | 18.2 | 17.4 | 16.7 | 16 | 17.8 | 16.6 | 15.4 | 14.2 | 13.3 | 12.5 | |||||||||||||||||||||||||||||||||||||||||
Poverty gap at rural poverty line (%) | SI.POV.RUGP | 3.6 | 3.6 | 3.7 | 4.6 | 6.5 | 3.4 | 3.1 | 2.8 | 2.6 | ||||||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at rural poverty line (% of rural population) | SI.POV.RUHC | 19.8 | 26 | 21.1 | 20.2 | 20.1 | 20 | 21.8 | 20.4 | 18.9 | 17.4 | 16.6 | 15.7 | |||||||||||||||||||||||||||||||||||||||||
Poverty gap at urban poverty line (%) | SI.POV.URGP | 2.4 | 2.3 | 2.1 | 2.8 | 3.6 | 2.1 | 1.9 | 1.6 | 1.5 | ||||||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at urban poverty line (% of urban population) | SI.POV.URHC | 13.6 | 19.4 | 14.5 | 13.6 | 12.1 | 11.7 | 13.5 | 12.5 | 11.6 | 10.7 | 9.9 | 9.2 | |||||||||||||||||||||||||||||||||||||||||
Child employment in agriculture, female (% of female economically active children ages 7-14) | SL.AGR.0714.FE.ZS | 48.72 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in agriculture, male (% of male economically active children ages 7-14) | SL.AGR.0714.MA.ZS | 65.5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in agriculture (% of economically active children ages 7-14) | SL.AGR.0714.ZS | 57.85 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Employees, agriculture, female (% of female employment) | SL.AGR.EMPL.FE.ZS | 54.2000007629 | 53.7999992371 | 53.5999984741 | 55.7000007629 | 55.7000007629 | 56.7999992371 | 57 | 56.2999992371 | 54.5 | 56.5 | 51.2000007629 | 47.2999992371 | 43.7999992371 | 45 | 42 | 46 | 44.4000015259 | 46.7000007629 | 44.5 | 45.4000015259 | 47.5 | 44.5999984741 | 44.2999992371 | 41.0999984741 | 41.4000015259 | 39.9000015259 | 38.7999992371 | 38 | |||||||||||||||||||||||||
Employees, agriculture, male (% of male employment) | SL.AGR.EMPL.MA.ZS | 57.5 | 55.2000007629 | 55.2999992371 | 54.7000007629 | 54.5999984741 | 55.4000015259 | 55.7000007629 | 55.5999984741 | 53.5 | 53.7999992371 | 50.2000007629 | 45.4000015259 | 44.0999984741 | 43.4000015259 | 40.7000007629 | 44.2999992371 | 43.2999992371 | 44.4000015259 | 43.2999992371 | 43.7000007629 | 45.7000007629 | 42.5999984741 | 43.7999992371 | 42.5 | 41.0999984741 | 40.5999984741 | 40.2000007629 | 39 | |||||||||||||||||||||||||
Employment in agriculture (% of total employment) | SL.AGR.EMPL.ZS | 56.4000015259 | 54.7000007629 | 54.7000007629 | 55.0999984741 | 55 | 55.9000015259 | 56.2000007629 | 55.9000015259 | 53.9000015259 | 54.9000015259 | 50.5999984741 | 46.0999984741 | 44 | 44 | 41.2000007629 | 45 | 43.2000007629 | 45.2999992371 | 43.7999992371 | 44.2999992371 | 46.4000015259 | 43.2999992371 | 44 | 42 | 41.2000007629 | 40.2999992371 | 39.7000007629 | 38.2999992371 | |||||||||||||||||||||||||
Employment to population ratio, ages 15-24, female (%) | SL.EMP.1524.SP.FE.ZS | 36.7999992371 | 36.9000015259 | 37.2999992371 | 36.5 | 35.2000007629 | 36.0999984741 | 34.9000015259 | 31.5 | 35 | 35.7000007629 | 34.2999992371 | 31.5 | 31.2000007629 | 30.2000007629 | 27.6000003815 | 28.7000007629 | 31.2000007629 | 31.5 | 31.8999996185 | 30.6000003815 | |||||||||||||||||||||||||||||||||
Employment to population ratio, ages 15-24, male (%) | SL.EMP.1524.SP.MA.ZS | 55 | 56.7000007629 | 53.4000015259 | 49.0999984741 | 50.5999984741 | 54.2999992371 | 53.7999992371 | 45.9000015259 | 55.9000015259 | 54.5999984741 | 53.5999984741 | 49.2000007629 | 49.4000015259 | 48.2000007629 | 46.0999984741 | 46.4000015259 | 48.2000007629 | 48.7999992371 | 49 | 48.9000015259 | |||||||||||||||||||||||||||||||||
Employment to population ratio, ages 15-24, total (%) | SL.EMP.1524.SP.ZS | 46 | 46.9000015259 | 45.4000015259 | 42.9000015259 | 43 | 45.2999992371 | 44.4000015259 | 38.7999992371 | 45.5999984741 | 45.2000007629 | 44.0999984741 | 40.4000015259 | 40.4000015259 | 39.2999992371 | 37 | 37.5999984741 | 39.7999992371 | 40.2999992371 | 40.5 | 39.9000015259 | |||||||||||||||||||||||||||||||||
Share of women employed in the nonagricultural sector (% of total nonagricultural employment) | SL.EMP.INSV.FE.ZS | 29.2 | 30.1 | 30.4 | 30.3 | 30.1 | 29 | 29.6 | 30 | 31.3 | 31.1 | 31.7 | 30.7 | 29.7 | 29.5 | 29 | 30.3 | 31.3 | 30.9 | 32.4 | ||||||||||||||||||||||||||||||||||
Employers, female (% of employment) | SL.EMP.MPYR.FE.ZS | 1.1000000238 | 1.1000000238 | 1 | 1.1000000238 | 1.2000000477 | 1.1000000238 | 1.3999999762 | 1.2999999523 | |||||||||||||||||||||||||||||||||||||||||||||
Employers, male (% of employment) | SL.EMP.MPYR.MA.ZS | 4.1999998093 | 4.0999999046 | 3.9000000954 | 4.3000001907 | 4 | 4 | 3.7999999523 | 3.9000000954 | |||||||||||||||||||||||||||||||||||||||||||||
Employers, total (% of employment) | SL.EMP.MPYR.ZS | 1.7000000477 | 1.7000000477 | 2.9000000954 | 2.2999999523 | 3.0999999046 | 3 | 2.9000000954 | 3.2000000477 | 3 | 3 | 2.9000000954 | 2.9000000954 | 2.9000000954 | ||||||||||||||||||||||||||||||||||||||||
Self-employed, female (% of females employed) | SL.EMP.SELF.FE.ZS | 70.6999969482 | 71.1999969482 | 72.4000015259 | 71.5 | 68.5999984741 | 68 | 69.3000030518 | 68.3000030518 | |||||||||||||||||||||||||||||||||||||||||||||
Self-employed, male (% of males employed) | SL.EMP.SELF.MA.ZS | 64.4000015259 | 65.8000030518 | 67.0999984741 | 66.1999969482 | 65.3000030518 | 65.0999984741 | 64.0999984741 | 65.5999984741 | |||||||||||||||||||||||||||||||||||||||||||||
Self-employed, total (% of total employed) | SL.EMP.SELF.ZS | 64.5 | 67.0999984741 | 66.9000015259 | 67.1999969482 | 66.6999969482 | 67.6999969482 | 69 | 68.0999984741 | 66.4000015259 | 66.0999984741 | 66 | 67.4000015259 | 66.5999984741 | ||||||||||||||||||||||||||||||||||||||||
Employment to population ratio, 15+, female (%) | SL.EMP.TOTL.SP.FE.ZS | 47.5 | 47 | 47.9000015259 | 48.2000007629 | 47.7999992371 | 48.4000015259 | 46.5 | 46.5999984741 | 47.4000015259 | 47.0999984741 | 45.2999992371 | 44 | 43.4000015259 | 43.5 | 42.9000015259 | 43.7999992371 | 45.2000007629 | 46.0999984741 | 46.7000007629 | 46.5999984741 | |||||||||||||||||||||||||||||||||
Employment to population ratio, 15+, male (%) | SL.EMP.TOTL.SP.MA.ZS | 78.9000015259 | 79.5999984741 | 79.8000030518 | 79.1999969482 | 79.5 | 81.0999984741 | 79.5999984741 | 77.1999969482 | 79.5999984741 | 79.8000030518 | 78.5 | 78.0999984741 | 78.4000015259 | 78.1999969482 | 77.1999969482 | 77.5999984741 | 77.6999969482 | 77.5999984741 | 78 | 79 | |||||||||||||||||||||||||||||||||
Employment to population ratio, 15+, total (%) | SL.EMP.TOTL.SP.ZS | 63.0999984741 | 63.2000007629 | 63.7000007629 | 63.5999984741 | 63.5 | 64.5999984741 | 62.9000015259 | 61.7999992371 | 63.4000015259 | 63.2999992371 | 61.7999992371 | 60.9000015259 | 60.7999992371 | 60.7000007629 | 59.9000015259 | 60.5 | 61.2999992371 | 61.7000007629 | 62.2000007629 | 62.5999984741 | |||||||||||||||||||||||||||||||||
Vulnerable employment, female (% of female employment) | SL.EMP.VULN.FE.ZS | 69.5999984741 | 70.0999984741 | 71.4000015259 | 70.4000015259 | 67.4000015259 | 66.9000015259 | 67.9000015259 | 67 | |||||||||||||||||||||||||||||||||||||||||||||
Vulnerable employment, male (% of male employment) | SL.EMP.VULN.MA.ZS | 60.0999984741 | 61.7000007629 | 63.2000007629 | 61.9000015259 | 61.2000007629 | 61.0999984741 | 60.2999992371 | 61.7999992371 | |||||||||||||||||||||||||||||||||||||||||||||
Vulnerable employment, total (% of total employment) | SL.EMP.VULN.ZS | 62.7999992371 | 65.4000015259 | 64 | 64.9000015259 | 63.7000007629 | 64.6999969482 | 66.0999984741 | 64.9000015259 | 63.4000015259 | 63.0999984741 | 63.0999984741 | 64.4000015259 | 63.7000007629 | ||||||||||||||||||||||||||||||||||||||||
Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS | 29.2999992371 | 28.7999992371 | 27.6000003815 | 28.5 | 31.3999996185 | 32 | 30.7000007629 | 31.7000007629 | |||||||||||||||||||||||||||||||||||||||||||||
Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS | 35.5999984741 | 34.2000007629 | 32.9000015259 | 33.7999992371 | 34.7000007629 | 34.9000015259 | 35.9000015259 | 34.4000015259 | |||||||||||||||||||||||||||||||||||||||||||||
Wage and salaried workers, total (% of total employed) | SL.EMP.WORK.ZS | 35.5 | 32.9000015259 | 33.0999984741 | 32.7999992371 | 33.2999992371 | 32.2999992371 | 31 | 31.8999996185 | 33.5999984741 | 33.9000015259 | 34 | 32.5999984741 | 33.4000015259 | ||||||||||||||||||||||||||||||||||||||||
Contributing family workers, female (% of females employed) | SL.FAM.WORK.FE.ZS | 38.5999984741 | 36.2000007629 | 41.5 | 38.5 | 37.5 | 34.0999984741 | 33.5999984741 | 32.4000015259 | |||||||||||||||||||||||||||||||||||||||||||||
Contributing family workers, male (% of males employed) | SL.FAM.WORK.MA.ZS | 8.1000003815 | 7 | 8.5 | 7.5 | 7.6999998093 | 7.6999998093 | 7.8000001907 | 8.1000003815 | |||||||||||||||||||||||||||||||||||||||||||||
Contributing family workers, total (% of total employed) | SL.FAM.WORK.ZS | 18.5 | 19.5 | 18.2999992371 | 20.1000003815 | 19.3999996185 | 17.6000003815 | 20.2999992371 | 18.5 | 18 | 16.8999996185 | 17.2999992371 | 16.8999996185 | 17.2999992371 | ||||||||||||||||||||||||||||||||||||||||
GDP per person employed (constant 1990 PPP $) | SL.GDP.PCAP.EM.KD | 5350 | 5475 | 4912 | 5071 | 5282 | 5179 | 5011 | 5104 | 5239 | 5640 | 5945 | 6427 | 6707 | 7131 | 7404 | 8205 | 8270 | 8688 | 7353 | 7315 | 7588 | 7780 | 8056 | 8335 | 8670 | 9140 | 9491 | 9642 | 9960 | 10186 | 10474 | 11037 | |||||||||||||||||||||
Employees, industry, female (% of female employment) | SL.IND.EMPL.FE.ZS | 13.1000003815 | 14.5 | 12.1999998093 | 9.3000001907 | 9.3999996185 | 9.1000003815 | 12 | 12.3999996185 | 12.8000001907 | 12.8000001907 | 14.3999996185 | 16.2000007629 | 16 | 15.8999996185 | 16.2999992371 | 13.8999996185 | 13 | 15 | 16.1000003815 | 15.8000001907 | 15.1999998093 | 14.1999998093 | 15.8999996185 | 15.3000001907 | 15 | 14.6999998093 | 14.8999996185 | 15 | |||||||||||||||||||||||||
Employees, industry, male (% of male employment) | SL.IND.EMPL.MA.ZS | 13.1000003815 | 15.1999998093 | 14.1000003815 | 7.5 | 7.5 | 7.6999998093 | 14.1000003815 | 14.6000003815 | 15.6000003815 | 14.8999996185 | 16.5 | 20.2000007629 | 19.7000007629 | 19.5 | 20.7000007629 | 17.7999992371 | 19.2999992371 | 19 | 20.2999992371 | 20.3999996185 | 19.1000003815 | 20.1000003815 | 20.2999992371 | 20.2999992371 | 21 | 21.2000007629 | 21.2000007629 | 22 | |||||||||||||||||||||||||
Employment in industry (% of total employment) | SL.IND.EMPL.ZS | 13.1000003815 | 14.8999996185 | 13.3999996185 | 8.1999998093 | 8.3000001907 | 8.3000001907 | 13.3000001907 | 13.6999998093 | 14.5 | 14.1000003815 | 15.6999998093 | 18.7000007629 | 18.3999996185 | 18.1000003815 | 19 | 16.2999992371 | 17.7999992371 | 17.3999996185 | 18.7000007629 | 18.7999992371 | 17.7000007629 | 18 | 18.7000007629 | 18.6000003815 | 18.7999992371 | 18.7999992371 | 18.7999992371 | 19.2999992371 | |||||||||||||||||||||||||
Child employment in manufacturing, female (% of female economically active children ages 7-14) | SL.MNF.0714.FE.ZS | 10.74 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in manufacturing, male (% of male economically active children ages 7-14) | SL.MNF.0714.MA.ZS | 3.28 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in manufacturing (% of economically active children ages 7-14) | SL.MNF.0714.ZS | 6.68 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in services, female (% of female economically active children ages 7-14) | SL.SRV.0714.FE.ZS | 32.37 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in services, male (% of male economically active children ages 7-14) | SL.SRV.0714.MA.ZS | 22.64 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in services (% of economically active children ages 7-14) | SL.SRV.0714.ZS | 27.07 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Employees, services, female (% of female employment) | SL.SRV.EMPL.FE.ZS | 32.7000007629 | 31.7999992371 | 34 | 34.7000007629 | 34.9000015259 | 28.8999996185 | 30.7999992371 | 31.1000003815 | 32.4000015259 | 30.5 | 34.2000007629 | 36.2000007629 | 40.0999984741 | 39.0999984741 | 41.7000007629 | 40 | 42.5999984741 | 38.2999992371 | 39.4000015259 | 38.7999992371 | 37.2999992371 | 41.2000007629 | 39.7000007629 | 43.5 | 43.5 | 45.2999992371 | 46.2999992371 | 47 | |||||||||||||||||||||||||
Employees, services, male (% of male employment) | SL.SRV.EMPL.MA.ZS | 29.3999996185 | 29.7000007629 | 30.6000003815 | 37.7000007629 | 37.9000015259 | 31.3999996185 | 30.2000007629 | 29.7000007629 | 30.7000007629 | 31.2000007629 | 33.0999984741 | 34.2000007629 | 36.2000007629 | 37.0999984741 | 38.5999984741 | 38 | 37.5 | 36.7000007629 | 36.4000015259 | 35.7999992371 | 35.0999984741 | 37.2999992371 | 35.9000015259 | 37.0999984741 | 37.7999992371 | 38.0999984741 | 38.5999984741 | 40 | |||||||||||||||||||||||||
Employment in services (% of total employment) | SL.SRV.EMPL.ZS | 30.3999996185 | 30.3999996185 | 31.7999992371 | 36.5 | 36.7000007629 | 30.3999996185 | 30.3999996185 | 30.2000007629 | 31.3999996185 | 30.8999996185 | 33.5 | 35 | 37.5999984741 | 37.9000015259 | 39.7999992371 | 38.7999992371 | 38.9000015259 | 37.2999992371 | 37.5 | 36.9000015259 | 35.9000015259 | 38.7000007629 | 37.2000007629 | 39.2999992371 | 39.9000015259 | 40.7999992371 | 41.5 | 42.2999992371 | |||||||||||||||||||||||||
Children in employment, female (% of female children ages 7-14) | SL.TLF.0714.FE.ZS | 9.101751 | 6.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, male (% of male children ages 7-14) | SL.TLF.0714.MA.ZS | 8.777495 | 7 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, study and work, female (% of female children in employment, ages 7-14) | SL.TLF.0714.SW.FE.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, study and work, male (% of male children in employment, ages 7-14) | SL.TLF.0714.SW.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, study and work (% of children in employment, ages 7-14) | SL.TLF.0714.SW.ZS | 75.05071 | 89 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, work only, female (% of female children in employment, ages 7-14) | SL.TLF.0714.WK.FE.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, work only, male (% of male children in employment, ages 7-14) | SL.TLF.0714.WK.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, work only (% of children in employment, ages 7-14) | SL.TLF.0714.WK.ZS | 24.94929 | 11 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, total (% of children ages 7-14) | SL.TLF.0714.ZS | 8.934132 | 6.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Labor force participation rate for ages 15-24, female (%) | SL.TLF.ACTI.1524.FE.ZS | 42.0999984741 | 41.2000007629 | 40.4000015259 | 41.5 | 42.5999984741 | 42.7999992371 | 43 | 41.7000007629 | 39.0999984741 | 43.4000015259 | 43.5999984741 | 43.9000015259 | 44.2000007629 | 44.2000007629 | 44.2000007629 | 44.2000007629 | 43.5 | 42.7999992371 | 42.0999984741 | 41.2999992371 | 40.7000007629 | 40.7000007629 | |||||||||||||||||||||||||||||||
Labor force participation rate for ages 15-24, male (%) | SL.TLF.ACTI.1524.MA.ZS | 60.2999992371 | 61 | 61.5999984741 | 58.9000015259 | 56 | 59.5999984741 | 62.7999992371 | 62.4000015259 | 55 | 67.1999969482 | 66.5 | 65.6999969482 | 64.8000030518 | 64.8000030518 | 64.8000030518 | 64.6999969482 | 63.9000015259 | 63.0999984741 | 62.2000007629 | 62.5 | 61.5 | 61.0999984741 | |||||||||||||||||||||||||||||||
Labor force participation rate for ages 15-24, total (%) | SL.TLF.ACTI.1524.ZS | 51.2999992371 | 51.2000007629 | 51.0999984741 | 50.2000007629 | 49.4000015259 | 51.2999992371 | 53 | 52.0999984741 | 47.0999984741 | 55.4000015259 | 55.2000007629 | 55 | 54.5999984741 | 54.5999984741 | 54.5999984741 | 54.5999984741 | 53.7999992371 | 53.0999984741 | 52.2999992371 | 52 | 51.2000007629 | 51 | |||||||||||||||||||||||||||||||
Labor force participation rate, female (% of female population ages 15-64) | SL.TLF.ACTI.FE.ZS | 51.9000015259 | 51 | 50.0999984741 | 51.4000015259 | 52.7000007629 | 52.7999992371 | 53 | 51 | 51.5 | 52.7000007629 | 52.2000007629 | 51.7000007629 | 51.2000007629 | 51.5 | 51.7000007629 | 52 | 52.4000015259 | 52.7999992371 | 53.2000007629 | 53.2000007629 | 53.2000007629 | ||||||||||||||||||||||||||||||||
Labor force participation rate, male (% of male population ages 15-64) | SL.TLF.ACTI.MA.ZS | 82.5999984741 | 82.9000015259 | 83.3000030518 | 83.8000030518 | 83.6999969482 | 85 | 86.0999984741 | 84.8000030518 | 82.8000030518 | 86.5 | 86.6999969482 | 86.6999969482 | 86.8000030518 | 87 | 87.1999969482 | 87.4000015259 | 87.0999984741 | 86.5999984741 | 86.0999984741 | 86.4000015259 | 86.3000030518 | ||||||||||||||||||||||||||||||||
Labor force participation rate, total (% of total population ages 15-64) | SL.TLF.ACTI.ZS | 67.1999969482 | 66.9000015259 | 66.5999984741 | 67.5 | 68.1999969482 | 68.9000015259 | 69.5 | 67.8000030518 | 67.1999969482 | 69.5999984741 | 69.4000015259 | 69.1999969482 | 69 | 69.1999969482 | 69.4000015259 | 69.6999969482 | 69.6999969482 | 69.6999969482 | 69.5999984741 | 69.8000030518 | 69.6999969482 | ||||||||||||||||||||||||||||||||
Labor participation rate, female (% of female population ages 15+) | SL.TLF.CACT.FE.ZS | 50.2000007629 | 49.2999992371 | 48.5 | 49.5999984741 | 50.7000007629 | 50.9000015259 | 51.0999984741 | 49.2999992371 | 49.7000007629 | 50.9000015259 | 50.4000015259 | 49.9000015259 | 49.4000015259 | 49.5999984741 | 49.7999992371 | 50 | 50.2999992371 | 50.7000007629 | 51 | 51.0999984741 | 51 | ||||||||||||||||||||||||||||||||
Ratio of female to male labor participation rate (%) | SL.TLF.CACT.FM.ZS | 61.8988923643 | 60.4907966099 | 59.2909513332 | 60.3406329873 | 61.8292692231 | 61.1044413699 | 60.5450207942 | 59.326113288 | 61.1316099598 | 60.0944549703 | 59.4339619246 | 58.8443393044 | 58.2547166841 | 58.3529393813 | 58.4507054235 | 58.6166450307 | 59.1764696907 | 60.0000009029 | 60.7142857143 | 60.6168405982 | 60.5700734542 | ||||||||||||||||||||||||||||||||
Labor participation rate, male (% of male population ages 15+) | SL.TLF.CACT.MA.ZS | 81.0999984741 | 81.5 | 81.8000030518 | 82.1999969482 | 82 | 83.3000030518 | 84.4000015259 | 83.0999984741 | 81.3000030518 | 84.6999969482 | 84.8000030518 | 84.8000030518 | 84.8000030518 | 85 | 85.1999969482 | 85.3000030518 | 85 | 84.5 | 84 | 84.3000030518 | 84.1999969482 | ||||||||||||||||||||||||||||||||
Labor participation rate, total (% of total population ages 15+) | SL.TLF.CACT.ZS | 65.5999984741 | 65.3000030518 | 65 | 65.8000030518 | 66.3000030518 | 67 | 67.5999984741 | 66.0999984741 | 65.4000015259 | 67.5999984741 | 67.4000015259 | 67.1999969482 | 67 | 67.0999984741 | 67.3000030518 | 67.5 | 67.5 | 67.4000015259 | 67.3000030518 | 67.5 | 67.4000015259 | ||||||||||||||||||||||||||||||||
Part time employment, female (% of total female employment) | SL.TLF.PART.FE.ZS | 37.7999992371 | 36.5 | 39 | 37.7999992371 | 33.0999984741 | 31.3999996185 | 31.7000007629 | 31 | |||||||||||||||||||||||||||||||||||||||||||||
Part time employment, male (% of total male employment) | SL.TLF.PART.MA.ZS | 20.6000003815 | 19.7000007629 | 22.6000003815 | 22.1000003815 | 18.5 | 16.7999992371 | 18.1000003815 | 16.7000007629 | |||||||||||||||||||||||||||||||||||||||||||||
Part time employment, female (% of total part time employment) | SL.TLF.PART.TL.FE.ZS | 46.5 | 46.7999992371 | 45.5 | 45.2000007629 | 46.5 | 46.7999992371 | 43.5999984741 | 44.2999992371 | |||||||||||||||||||||||||||||||||||||||||||||
Part time employment, total (% of total employment) | SL.TLF.PART.ZS | 26.1000003815 | 25.1000003815 | 27.8999996185 | 27.2999992371 | 23.2000007629 | 21.3999996185 | 22.2000007629 | 21 | |||||||||||||||||||||||||||||||||||||||||||||
Labor force with primary education, female (% of female labor force) | SL.TLF.PRIM.FE.ZS | 57.7000007629 | 50.9000015259 | 46.7000007629 | 22.1000003815 | 51 | 51.0999984741 | 51.5999984741 | 56.0999984741 | 55 | 55.5999984741 | 53.2999992371 | 53.9000015259 | 51.5999984741 | ||||||||||||||||||||||||||||||||||||||||
Labor force with primary education, male (% of male labor force) | SL.TLF.PRIM.MA.ZS | 57.5 | 54.4000015259 | 53.0999984741 | 31.7000007629 | 55.4000015259 | 55.4000015259 | 56.2000007629 | 59.4000015259 | 58.2000007629 | 59.5999984741 | 56.7999992371 | 57.5 | 54.5999984741 | ||||||||||||||||||||||||||||||||||||||||
Labor force with primary education (% of total) | SL.TLF.PRIM.ZS | 57.5999984741 | 52.5999984741 | 50.5999984741 | 27.5 | 53.2000007629 | 53.2000007629 | 54 | 57.7000007629 | 56.4000015259 | 57.5999984741 | 55.0999984741 | 55.7000007629 | 53.5 | ||||||||||||||||||||||||||||||||||||||||
Labor force with secondary education, female (% of female labor force) | SL.TLF.SECO.FE.ZS | 12.1000003815 | 13.6999998093 | 15.1999998093 | 7.5999999046 | 16 | 15.6999998093 | 15.8999996185 | 16.5 | 16.8999996185 | 17.8999996185 | 19.1000003815 | 18 | 19 | ||||||||||||||||||||||||||||||||||||||||
Labor force with secondary education, male (% of male labor force) | SL.TLF.SECO.MA.ZS | 14.8000001907 | 18.8999996185 | 20.2999992371 | 8.1000003815 | 22.2000007629 | 21.5 | 21.6000003815 | 22.6000003815 | 22.7000007629 | 22.8999996185 | 24.1000003815 | 22.7000007629 | 24.2999992371 | ||||||||||||||||||||||||||||||||||||||||
Labor force with secondary education (% of total) | SL.TLF.SECO.ZS | 13.3999996185 | 16.2999992371 | 18.3999996185 | 7.8000001907 | 19.3999996185 | 19 | 19.2000007629 | 20 | 20.2000007629 | 20.7000007629 | 21.8999996185 | 20.6000003815 | 22.2999992371 | ||||||||||||||||||||||||||||||||||||||||
Labor force with tertiary education, female (% of female labor force) | SL.TLF.TERT.FE.ZS | 12.3999996185 | 2.2000000477 | 4 | 15.1000003815 | 4.6999998093 | 5.0999999046 | 5.1999998093 | 4.6999998093 | 5.6999998093 | 6.4000000954 | 7.4000000954 | 7.9000000954 | 8.6000003815 | ||||||||||||||||||||||||||||||||||||||||
Labor force with tertiary education, male (% of male labor force) | SL.TLF.TERT.MA.ZS | 18.2000007629 | 5 | 4.3000001907 | 8.8000001907 | 4.8000001907 | 5 | 4.8000001907 | 4.5999999046 | 5.1999998093 | 5.3000001907 | 5.5999999046 | 5.9000000954 | 6.1999998093 | ||||||||||||||||||||||||||||||||||||||||
Labor force with tertiary education (% of total) | SL.TLF.TERT.ZS | 15.1999998093 | 3 | 4.1999998093 | 11.6999998093 | 4.5999999046 | 5 | 4.9000000954 | 4.5 | 5.3000001907 | 5.5999999046 | 6.1999998093 | 6.5 | 7.0999999046 | ||||||||||||||||||||||||||||||||||||||||
Labor force, female (% of total labor force) | SL.TLF.TOTL.FE.ZS | 38.5677420083 | 38.0449257151 | 37.5959848518 | 37.9779318598 | 38.5253030938 | 38.2723461148 | 38.0821215925 | 37.5760570459 | 38.2892283212 | 37.9414649603 | 37.6851989061 | 37.4281901274 | 37.1703445578 | 37.2728137335 | 37.3207575099 | 37.3698091365 | 37.6056930908 | 37.9738236886 | 38.2683671449 | 38.2418684235 | 38.2339603615 | ||||||||||||||||||||||||||||||||
Labor force, total | SL.TLF.TOTL.IN | 76841491.70064 | 78446143.039109 | 80035566.1902135 | 83003583.5843544 | 85651502.1007648 | 88618908.76 | 91521237.6816671 | 91570209.0921565 | 92656874.7905814 | 97871709.5014144 | 99627159.9314745 | 101317022.384121 | 102945551.789986 | 104987417.513324 | 107158686.076268 | 109313025.525 | 111122414.808312 | 112737674.291312 | 114325144.035913 | 116407259.694375 | 117961804.410555 | ||||||||||||||||||||||||||||||||
Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS | 9.4 | 6.4 | 7.7 | 8.8 | 8.9 | 9.1 | 17 | 20.5 | 20.1 | 26.5 | 31.5 | 33.5 | 37.7 | 34.3 | 27.3 | 25.5 | 23 | ||||||||||||||||||||||||||||||||||||
Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS | 8.7 | 7.2 | 8.8 | 9.1 | 9 | 8.6 | 14.3 | 17.9 | 19.7 | 22.3 | 25.5 | 26.9 | 28.9 | 27.7 | 23.8 | 21.8 | 21.6 | ||||||||||||||||||||||||||||||||||||
Unemployment, youth total (% of total labor force ages 15-24) | SL.UEM.1524.ZS | 9 | 6.9 | 8.3 | 9 | 8.9 | 8.8 | 15.4 | 19 | 19.9 | 24.1 | 27.9 | 27.9 | 29.6 | 32.4 | 30.4 | 25.1 | 23.3 | 22.2 | |||||||||||||||||||||||||||||||||||
Long-term unemployment, female (% of female unemployment) | SL.UEM.LTRM.FE.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Long-term unemployment, male (% of male unemployment) | SL.UEM.LTRM.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Long-term unemployment (% of total unemployment) | SL.UEM.LTRM.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Unemployment with primary education, female (% of female unemployment) | SL.UEM.PRIM.FE.ZS | 34.5 | 36.2999992371 | 37.4000015259 | 42.4000015259 | 45.9000015259 | 49.4000015259 | 49.9000015259 | 48.2000007629 | 48.5 | 47.9000015259 | 43.2999992371 | 43.7999992371 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with primary education, male (% of male unemployment) | SL.UEM.PRIM.MA.ZS | 36.7000007629 | 38.2999992371 | 39 | 46 | 46 | 49.0999984741 | 49.7999992371 | 48.7000007629 | 50.2000007629 | 49.2999992371 | 45.2999992371 | 43 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with primary education (% of total unemployment) | SL.UEM.PRIM.ZS | 29.8999996185 | 23.6000003815 | 23.2000007629 | 26.6000003815 | 37.4000015259 | 40.4000015259 | 36.7000007629 | 33.2999992371 | 29.8999996185 | 25.7000007629 | 26.3999996185 | 26.5 | 35.5999984741 | 37.5999984741 | 35.7000007629 | 37.4000015259 | 38.2999992371 | 44.5 | 46 | 49.2999992371 | 49.9000015259 | 48.4000015259 | 49.4000015259 | 48.7000007629 | 44.4000015259 | 43.4000015259 | |||||||||||||||||||||||||||
Unemployment with secondary education, female (% of female unemployment) | SL.UEM.SECO.FE.ZS | 50.0999984741 | 48.7999992371 | 46.7999992371 | 43.7999992371 | 33.2999992371 | 31.8999996185 | 31.1000003815 | 33.4000015259 | 35.2000007629 | 35.5 | 38.5999984741 | 37.4000015259 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with secondary education, male (% of male unemployment) | SL.UEM.SECO.MA.ZS | 50.2999992371 | 49.2000007629 | 48.5999984741 | 43.7999992371 | 40 | 38.9000015259 | 38.5999984741 | 38.4000015259 | 38.2000007629 | 40.2999992371 | 42.2999992371 | 43.0999984741 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with secondary education (% of total unemployment) | SL.UEM.SECO.ZS | 64.4000015259 | 68.4000015259 | 68.9000015259 | 67.5999984741 | 55.5999984741 | 54.2999992371 | 54.9000015259 | 53.7000007629 | 54.9000015259 | 64.3000030518 | 62.9000015259 | 61.5 | 57.0999984741 | 48.2000007629 | 50.2000007629 | 49 | 47.9000015259 | 43.7999992371 | 36.5999984741 | 35.5 | 34.9000015259 | 36 | 36.7999992371 | 38 | 40.7000007629 | 40.5999984741 | |||||||||||||||||||||||||||
Unemployment with tertiary education, female (% of female unemployment) | SL.UEM.TERT.FE.ZS | 10.6999998093 | 10 | 11.3000001907 | 9.6999998093 | 7.3000001907 | 6.4000000954 | 4.9000000954 | 6.6999998093 | 7 | 7.5 | 12.5 | 12.5 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with tertiary education, male (% of male unemployment) | SL.UEM.TERT.MA.ZS | 7.5 | 7.3000001907 | 7.6999998093 | 6.5999999046 | 6.1999998093 | 5.0999999046 | 4.1999998093 | 4.8000001907 | 5 | 5 | 7.3000001907 | 8.3999996185 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with tertiary education (% of total unemployment) | SL.UEM.TERT.ZS | 5.6999998093 | 7.9000000954 | 7.8000001907 | 5.9000000954 | 7 | 5.3000001907 | 8.3000001907 | 13.1000003815 | 15.1999998093 | 10 | 10.8000001907 | 12.1000003815 | 7.3000001907 | 9.3000001907 | 9 | 8.5 | 9.1999998093 | 7.9000000954 | 6.6999998093 | 5.6999998093 | 4.5 | 5.6999998093 | 5.9000000954 | 6.1999998093 | 9.6000003815 | 10.1999998093 | |||||||||||||||||||||||||||
Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS | 3.5 | 2.0999999046 | 2.7000000477 | 2.7999999523 | 2.7000000477 | 3 | 5.5 | 6.0999999046 | 6.8000001907 | 6.6999998093 | 10.6000003815 | 13 | 12.8999996185 | 14.1999998093 | 13.3999996185 | 10.8000001907 | 9.6999998093 | 8.5 | 8.7 | ||||||||||||||||||||||||||||||||||
Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS | 2.7000000477 | 2.2000000477 | 2.7000000477 | 2.9000000954 | 2.7999999523 | 2.7000000477 | 3.7999999523 | 5 | 6 | 5.6999998093 | 6.5999999046 | 7.5999999046 | 8.1000003815 | 9.5 | 8.5 | 8.1000003815 | 7.5999999046 | 7.5 | 6.1 | ||||||||||||||||||||||||||||||||||
Unemployment, total (% of total labor force) | SL.UEM.TOTL.ZS | 3 | 2.2000000477 | 2.7000000477 | 2.7999999523 | 2.7999999523 | 2.7999999523 | 4.4000000954 | 4.6999998093 | 5.5 | 6.3000001907 | 6.0999999046 | 8.1000003815 | 9.1000003815 | 9.5 | 9.8999996185 | 11.1999998093 | 10.3000001907 | 9.1000003815 | 8.3999996185 | 7.9000000954 | 7.1 | ||||||||||||||||||||||||||||||||
Emigration rate of tertiary educated (% of total tertiary educated population) | SM.EMI.TERT.ZS | 5.559114912 | 2.9191681736 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Net migration | SM.POP.NETM | -361 | -103541 | -85976 | -11177 | -63732 | -78178 | -263782 | -719986 | -775921 | -1184298 | -1293089 | ||||||||||||||||||||||||||||||||||||||||||
Refugee population by country or territory of asylum | SM.POP.REFG | 3278 | 3156 | 3530 | 2402 | 97 | 19 | 61 | 34 | 47 | 162506 | 122618 | 73551 | 28596 | 233 | 169 | 89 | 301 | 315 | 369 | 798 | 811 | ||||||||||||||||||||||||||||||||
Refugee population by country or territory of origin | SM.POP.REFG.OR | 7169 | 6164 | 6829 | 7924 | 8726 | 9836 | 11365 | 8799 | 9053 | 2214 | 9149 | 8970 | 9911 | 16240 | 27919 | 34384 | 34728 | 20558 | 19345 | 18213 | 16892 | ||||||||||||||||||||||||||||||||
International migrant stock, total | SM.POP.TOTL | 1859466 | 1475121 | 1170220 | 928340 | 756851 | 593098 | 465612 | 219140 | 292307 | 135623 | 122908 | ||||||||||||||||||||||||||||||||||||||||||
International migrant stock (% of population) | SM.POP.TOTL.ZS | 2.0223322639 | 1.4163877076 | 0.9886809707 | 0.6922438312 | 0.5018238822 | 0.3527841961 | 0.2525751327 | 0.1098995123 | 0.1369790468 | 0.0596661265 | 0.0512392212 | ||||||||||||||||||||||||||||||||||||||||||
Prevalence of undernourishment (% of population) | SN.ITK.DEFC.ZS | 19.9 | 17.8 | 15.1 | 11.9 | 8.6 | ||||||||||||||||||||||||||||||||||||||||||||||||
Depth of hunger (kilocalories per person per day) | SN.ITK.DPTH | 220 | 210 | 220 | 220 | |||||||||||||||||||||||||||||||||||||||||||||||||
Consumption of iodized salt (% of households) | SN.ITK.SALT.ZS | 73.24 | 62.3 | 62.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Vitamin A supplementation coverage rate (% of children ages 6-59 months) | SN.ITK.VITA.ZS | 64 | 61 | 82 | 62 | 73 | 76 | 87 | 86 | 84 | 80.0662379009 | |||||||||||||||||||||||||||||||||||||||||||
Adolescent fertility rate (births per 1,000 women ages 15-19) | SP.ADO.TFRT | 47.848 | 48.089 | 48.33 | 48.571 | 48.812 | 49.053 | 48.266 | 47.479 | 46.692 | 45.905 | 45.118 | 44.563 | 44.008 | 43.453 | 42.898 | ||||||||||||||||||||||||||||||||||||||
Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths) | SP.DTH.INFR.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Completeness of total death reporting (% of reported total deaths to estimated total deaths) | SP.DTH.REPT.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Mortality rate, adult, female (per 1,000 female adults) | SP.DYN.AMRT.FE | 217.337 | 214.2144 | 211.0918 | 207.9692 | 204.8466 | 201.724 | 198.8524 | 195.9808 | 193.1092 | 190.2376 | 187.366 | 181.3644 | 175.3628 | 169.3612 | |||||||||||||||||||||||||||||||||||||||
Mortality rate, adult, male (per 1,000 male adults) | SP.DYN.AMRT.MA | 256.831 | 253.1524 | 249.4738 | 245.7952 | 242.1166 | 238.438 | 235.0684 | 231.6988 | 228.3292 | 224.9596 | 221.59 | 215.9724 | 210.3548 | 204.7372 | |||||||||||||||||||||||||||||||||||||||
Birth rate, crude (per 1,000 people) | SP.DYN.CBRT.IN | 44.582 | 44.314 | 43.985 | 43.615 | 43.219 | 42.798 | 42.346 | 41.85 | 41.303 | 40.711 | 40.08 | 39.419 | 38.738 | 38.049 | 37.36 | 36.681 | 36.018 | 35.369 | 34.729 | 34.091 | 33.441 | 32.76 | 32.035 | 31.267 | 30.46 | 29.632 | 28.806 | 28.005 | 27.249 | 26.546 | 25.894 | 25.28 | 24.689 | 24.112 | 23.553 | 23.029 | 22.564 | 22.174 | 21.861 | 21.616 | 21.416 | 21.229 | 21.026 | 20.782 | 20.488 | 20.143 | 19.76 | 19.361 | 18.967 | 18.585 | 18.218 | 17.866 | |
Death rate, crude (per 1,000 people) | SP.DYN.CDRT.IN | 20.121 | 19.496 | 18.885 | 18.292 | 17.722 | 17.172 | 16.638 | 16.114 | 15.597 | 15.086 | 14.584 | 14.094 | 13.621 | 13.17 | 12.741 | 12.336 | 11.956 | 11.598 | 11.261 | 10.942 | 10.64 | 10.353 | 10.08 | 9.82 | 9.572 | 9.338 | 9.117 | 8.912 | 8.722 | 8.548 | 8.388 | 8.243 | 8.11 | 7.988 | 7.877 | 7.776 | 7.687 | 7.608 | 7.541 | 7.483 | 7.435 | 7.399 | 7.372 | 7.352 | 7.334 | 7.313 | 7.281 | 7.234 | 7.171 | 7.095 | 7.01 | 6.922 | |
Contraceptive prevalence (% of women ages 15-49) | SP.DYN.CONU.ZS | 8.6 | 26.3 | 31.2 | 38.5 | 47.7 | 49.7 | 53.1 | 54.7 | 54.2 | 54.2 | 57.4 | 55.4 | 55.4 | 54.8 | 52.5 | 60.3 | 56.7 | 57.9 | 61.4 | 56.6 | 60.63 | 55.9 | |||||||||||||||||||||||||||||||
Mortality rate, infant (per 1,000 live births) | SP.DYN.IMRT.IN | 128.1 | 125 | 121.8 | 118.9 | 116.6 | 114.4 | 112 | 108.9 | 105.7 | 102.5 | 99.5 | 96.3 | 93.4 | 90.8 | 88.3 | 86 | 83.5 | 81.3 | 79.3 | 77.5 | 75.7 | 73.5 | 71.3 | 69.1 | 66.9 | 64.7 | 62.5 | 60.4 | 58.1 | 56.1 | 54.1 | 52.1 | 50.1 | 48.1 | 46.5 | 44.9 | 43.4 | 41.5 | 40 | 38.7 | 37.6 | 36.4 | 35.1 | 33.8 | 32.5 | 31.4 | 30.2 | 29 | 28.1 | 26.8 | 25.8 | 24.8 | |
Life expectancy at birth, female (years) | SP.DYN.LE00.FE.IN | 46.301 | 47.072 | 47.829 | 48.574 | 49.307 | 50.029 | 50.739 | 51.439 | 52.128 | 52.805 | 53.469 | 54.12 | 54.756 | 55.376 | 55.98 | 56.569 | 57.141 | 57.699 | 58.242 | 58.771 | 59.287 | 59.79 | 60.281 | 60.759 | 61.226 | 61.681 | 62.124 | 62.557 | 62.978 | 63.389 | 63.79 | 64.181 | 64.562 | 64.933 | 65.296 | 65.649 | 65.995 | 66.331 | 66.66 | 66.981 | 67.29 | 67.584 | 67.863 | 68.132 | 68.398 | 68.675 | 68.98 | 69.323 | 69.707 | 70.131 | 70.584 | 71.052 | |
Life expectancy at birth, total (years) | SP.DYN.LE00.IN | 45.0732682927 | 45.8273658537 | 46.5567073171 | 47.2617560976 | 47.9435365854 | 48.6076585366 | 49.2582439024 | 49.9034390244 | 50.5468536585 | 51.1890243902 | 51.8299756098 | 52.4671463415 | 53.0944390244 | 53.708804878 | 54.3071707317 | 54.8905365854 | 55.4574146341 | 56.0097804878 | 56.5497073171 | 57.0761463415 | 57.5911219512 | 58.0936097561 | 58.584097561 | 59.0631219512 | 59.5306341463 | 59.9866585366 | 60.431195122 | 60.8652195122 | 61.2882682927 | 61.700804878 | 62.1038536585 | 62.496902439 | 62.8804634146 | 63.2545365854 | 63.6206097561 | 63.9777073171 | 64.327804878 | 64.6694390244 | 65.0035609756 | 65.3307073171 | 65.6463658537 | 65.9490731707 | 66.237804878 | 66.5165365854 | 66.7912439024 | 67.0733658537 | 67.3768292683 | 67.7095853659 | 68.0751463415 | 68.4709756098 | 68.8896585366 | 69.3192439024 | |
Life expectancy at birth, male (years) | SP.DYN.LE00.MA.IN | 43.904 | 44.642 | 45.345 | 46.012 | 46.645 | 47.254 | 47.848 | 48.441 | 49.041 | 49.65 | 50.269 | 50.893 | 51.512 | 52.121 | 52.714 | 53.292 | 53.854 | 54.401 | 54.938 | 55.462 | 55.976 | 56.478 | 56.968 | 57.448 | 57.916 | 58.373 | 58.819 | 59.254 | 59.679 | 60.093 | 60.498 | 60.893 | 61.279 | 61.656 | 62.025 | 62.386 | 62.74 | 63.087 | 63.426 | 63.759 | 64.081 | 64.392 | 64.69 | 64.978 | 65.261 | 65.548 | 65.85 | 66.173 | 66.521 | 66.89 | 67.276 | 67.669 | |
Fertility rate, total (births per woman) | SP.DYN.TFRT.IN | 5.666 | 5.656 | 5.645 | 5.634 | 5.623 | 5.612 | 5.599 | 5.582 | 5.556 | 5.521 | 5.474 | 5.413 | 5.338 | 5.251 | 5.152 | 5.043 | 4.927 | 4.806 | 4.682 | 4.557 | 4.43 | 4.301 | 4.167 | 4.028 | 3.887 | 3.745 | 3.606 | 3.472 | 3.346 | 3.229 | 3.122 | 3.024 | 2.934 | 2.849 | 2.771 | 2.699 | 2.635 | 2.579 | 2.53 | 2.489 | 2.453 | 2.419 | 2.386 | 2.353 | 2.318 | 2.282 | 2.246 | 2.21 | 2.176 | 2.145 | 2.117 | 2.09 | |
Survival to age 65, female (% of cohort) | SP.DYN.TO65.FE.ZS | 71.9082819 | 72.7638957 | 73.6195095 | 74.4751233 | 75.3307371 | 76.1440738 | 76.9151334 | 77.686193 | 78.4572526 | 79.2283122 | 79.9105081 | 80.5038403 | 81.0971725 | ||||||||||||||||||||||||||||||||||||||||
Survival to age 65, male (% of cohort) | SP.DYN.TO65.MA.ZS | 64.2250106 | 65.0942778 | 65.963545 | 66.8328122 | 67.7020794 | 68.4857305 | 69.1837655 | 69.8818005 | 70.5798355 | 71.2778705 | 71.9007396 | 72.4484428 | 72.996146 | ||||||||||||||||||||||||||||||||||||||||
Wanted fertility rate (births per woman) | SP.DYN.WFRT | 2.5 | 2.5 | 2.4 | 2.4 | 2.2 | 2.2 | |||||||||||||||||||||||||||||||||||||||||||||||
Female headed households (% of households with a female head) | SP.HOU.FEMA.ZS | 13 | 12.8 | 12.2 | 11.8 | 12.9 | ||||||||||||||||||||||||||||||||||||||||||||||||
Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) | SP.MTR.1519.ZS | 10.9 | 12.2 | 11.2 | 12.2 | 10.4 | 8.5 | |||||||||||||||||||||||||||||||||||||||||||||||
Population ages 0-14 (% of total) | SP.POP.0014.TO.ZS | 39.9322554702 | 40.3781693692 | 40.8598118985 | 41.3459948137 | 41.8004125064 | 42.1970736354 | 42.5290749521 | 42.7975850073 | 42.997263167 | 43.124869945 | 43.1800808268 | 43.161296015 | 43.0729799178 | 42.928380583 | 42.7439853121 | 42.5315313806 | 42.2946144903 | 42.0322097852 | 41.745152047 | 41.4331687744 | 41.0963605076 | 40.7378198944 | 40.3592656007 | 39.9579821314 | 39.5299195686 | 39.0730728456 | 38.5871194647 | 38.0756682991 | 37.5452407574 | 37.0041645852 | 36.4583653779 | 35.9131716624 | 35.3681892656 | 34.8172920442 | 34.251716751 | 33.6676012371 | 33.0621816674 | 32.4439173144 | 31.8333038386 | 31.2567754723 | 30.7319809234 | 30.2650576461 | 29.8485927489 | 29.4695939986 | 29.1091937532 | 28.7536467539 | 28.3982080332 | 28.0455480703 | 27.6982031044 | 27.3611328798 | 27.0368006275 | 26.7267519862 | |
Population ages 15-64 (% of total) | SP.POP.1564.TO.ZS | 56.4944143891 | 56.1028729189 | 55.6760719603 | 55.2417202946 | 54.8319850589 | 54.4701283659 | 54.1627435428 | 53.9095345245 | 53.7160359285 | 53.5860081233 | 53.5205109354 | 53.521602502 | 53.5858182959 | 53.7018820428 | 53.8555936337 | 54.0370184685 | 54.2425451064 | 54.4735496875 | 54.7314579142 | 55.019109902 | 55.3377321651 | 55.6843776833 | 56.0556646739 | 56.451503803 | 56.8723748826 | 57.3175757685 | 57.7870294024 | 58.2769930601 | 58.7790642898 | 59.282871955 | 59.7812653741 | 60.2684627223 | 60.7456151459 | 61.2204118994 | 61.7037600007 | 62.2011791063 | 62.7162085433 | 63.2405402409 | 63.7540112663 | 64.2304174955 | 64.6526072672 | 65.0144410014 | 65.3242975323 | 65.5976400964 | 65.8562909992 | 66.1157896277 | 66.380232328 | 66.6455582475 | 66.9090227185 | 67.1653285772 | 67.4109027222 | 67.6437446031 | |
Population ages 65 and above (% of total) | SP.POP.65UP.TO.ZS | 3.5733301408 | 3.5189577119 | 3.4641161412 | 3.4122848918 | 3.3676024348 | 3.3327979987 | 3.3081815052 | 3.2928804682 | 3.2867009045 | 3.2891219318 | 3.2994082378 | 3.317101483 | 3.3412017863 | 3.3697373742 | 3.4004210542 | 3.4314501508 | 3.4628404033 | 3.4942405273 | 3.5233900388 | 3.5477213236 | 3.5659073273 | 3.5778024223 | 3.5850697254 | 3.5905140655 | 3.5977055487 | 3.6093513859 | 3.6258511329 | 3.6473386409 | 3.6756949528 | 3.7129634598 | 3.7603692479 | 3.8183656153 | 3.8861955885 | 3.9622960564 | 4.0445232483 | 4.1312196566 | 4.2216097892 | 4.3155424446 | 4.4126848951 | 4.5128070321 | 4.6154118094 | 4.7205013525 | 4.8271097188 | 4.932765905 | 5.0345152476 | 5.1305636184 | 5.2215596388 | 5.3088936822 | 5.3927741771 | 5.473538543 | 5.5522966503 | 5.6295034107 | |
Age dependency ratio (% of working-age population) | SP.POP.DPND | 77.0086495831 | 78.2439914342 | 79.6103720668 | 81.0226029652 | 82.3753050207 | 83.5868631121 | 84.6287567044 | 85.4959440515 | 86.1641468352 | 86.6158788503 | 86.8442551319 | 86.8404444659 | 86.6165399357 | 86.2132130123 | 85.6817337865 | 85.0583226724 | 84.3571311114 | 83.5753325674 | 82.7102799944 | 81.7550305304 | 80.7085257879 | 79.5835818958 | 78.3941026867 | 77.1431994955 | 75.8322915236 | 74.4665552567 | 73.0492136975 | 71.5943029129 | 70.1286014132 | 68.6827859417 | 67.276485993 | 65.9242586968 | 64.6209356179 | 63.3442129797 | 62.0646780665 | 60.768656538 | 59.4484142499 | 58.1264164079 | 56.8528756289 | 55.6894753283 | 54.6728031969 | 53.8119815532 | 53.0823962563 | 52.4445084503 | 51.8457819029 | 51.2498006349 | 50.6472582166 | 50.0475089858 | 49.4566740583 | 48.8863407927 | 48.3439561877 | 47.8333297289 | |
Age dependency ratio, old (% of working-age population) | SP.POP.DPND.OL | 6.3251034273 | 6.2723306825 | 6.22191189 | 6.1770069316 | 6.1416752123 | 6.1185792997 | 6.1078543825 | 6.1081597109 | 6.1186586979 | 6.1380237994 | 6.1647547457 | 6.1976871542 | 6.2352351658 | 6.2748962346 | 6.3139607695 | 6.3501840925 | 6.3839932225 | 6.4145636688 | 6.4375958052 | 6.4481619748 | 6.4438985621 | 6.4251457431 | 6.3955529673 | 6.360351494 | 6.3259281086 | 6.2971110301 | 6.2745068753 | 6.2586253157 | 6.2534084154 | 6.2631302049 | 6.2902135383 | 6.3355948414 | 6.3974915378 | 6.4721813093 | 6.5547435817 | 6.6417063405 | 6.7312898647 | 6.8240126163 | 6.9214231504 | 7.0259655909 | 7.1387868247 | 7.2606966695 | 7.3894552275 | 7.5197307369 | 7.6446990428 | 7.7599672443 | 7.866136432 | 7.9658627248 | 8.0598609246 | 8.1493512486 | 8.2364965103 | 8.3222823393 | |
Age dependency ratio, young (% of working-age population) | SP.POP.DPND.YG | 70.6835461558 | 71.9716607517 | 73.3884601768 | 74.8455960335 | 76.2336298084 | 77.4682838124 | 78.5209023219 | 79.3877843406 | 80.0454881373 | 80.4778550509 | 80.6795003862 | 80.6427573117 | 80.3813047699 | 79.9383167777 | 79.367773017 | 78.7081385799 | 77.9731378889 | 77.1607688986 | 76.2726841892 | 75.3068685555 | 74.2646272258 | 73.1584361527 | 71.9985497194 | 70.7828480014 | 69.506363415 | 68.1694442267 | 66.7747068222 | 65.3356775972 | 63.8751929978 | 62.4196557367 | 60.9862724547 | 59.5886638553 | 58.2234440801 | 56.8720316704 | 55.5099344848 | 54.1269501975 | 52.7171243852 | 51.3024037916 | 49.9314524785 | 48.6635097374 | 47.5340163722 | 46.5512848837 | 45.6929410288 | 44.9247777135 | 44.2010828602 | 43.4898333906 | 42.7811217847 | 42.0816462609 | 41.3968131337 | 40.7369895441 | 40.1074596774 | 39.5110473896 | |
Population growth (annual %) | SP.POP.GROW | 2.4211843412 | 2.4485617402 | 2.4701162077 | 2.4909090859 | 2.5136987305 | 2.5359481827 | 2.5530203591 | 2.5623079914 | 2.5652847669 | 2.5616324234 | 2.5522629199 | 2.5392737964 | 2.5229648474 | 2.5020526666 | 2.4765902933 | 2.447563584 | 2.4135932549 | 2.3779129486 | 2.3453795669 | 2.3176114388 | 2.2912412207 | 2.2652140439 | 2.2325497415 | 2.1864187059 | 2.123845659 | 2.0505659137 | 1.9748694806 | 1.9033826854 | 1.8365924997 | 1.7767936433 | 1.7224407445 | 1.6707650009 | 1.6195753824 | 1.5692551969 | 1.5193579109 | 1.4710927028 | 1.4224801167 | 1.3780172428 | 1.3445591171 | 1.3246644089 | 1.3135067937 | 1.3073254744 | 1.2972021535 | 1.2760842172 | 1.2397167373 | 1.1934578842 | 1.1440403637 | 1.1000575436 | 1.0651959063 | 1.0429900379 | 1.0293478597 | 1.0181417007 | |
Researchers in R&D (per million people) | SP.POP.SCIE.RD.P6 | 210.8011591683 | 197.6008723152 | 89.6112092903 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Technicians in R&D (per million people) | SP.POP.TECH.RD.P6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Population, total | SP.POP.TOTL | 91946612 | 94225771 | 96582241 | 99018230 | 101538797 | 104146696 | 106839814 | 109612753 | 112461009 | 115379062 | 118361740 | 121405753 | 124507744 | 127662293 | 130863441 | 134105926 | 137382075 | 140688052 | 144026720 | 147403681 | 150820044 | 154275429 | 157758440 | 161245684 | 164706919 | 168119209 | 171472345 | 174767379 | 178006800 | 181197879 | 184345939 | 187451800 | 190512441 | 193525648 | 196488446 | 199400339 | 202257039 | 205063468 | 207839287 | 210610776 | 213395411 | 216203499 | 219026365 | 221839235 | 224606531 | 227303175 | 229918547 | 232461746 | 234951154 | 237414495 | 239870937 | 242325638 | |
Population, female (% of total) | SP.POP.TOTL.FE.ZS | 50.3044157842 | 50.2871072319 | 50.2688108055 | 50.2506200197 | 50.2338588865 | 50.2193262089 | 50.2073126952 | 50.1973397165 | 50.1884782129 | 50.1795104746 | 50.1696570192 | 50.1587568932 | 50.1471559058 | 50.1352031958 | 50.1233946615 | 50.1120569422 | 50.1012799523 | 50.0909316721 | 50.0808443756 | 50.0707845257 | 50.0606391548 | 50.0504318808 | 50.0403382544 | 50.0305784927 | 50.0214186508 | 50.0130588885 | 50.0055484165 | 49.9988965332 | 49.9932033496 | 49.98856278 | 49.9850484908 | 49.9826851487 | 49.9814728633 | 49.9814094406 | 49.9824791227 | 49.9846657733 | 49.9879860795 | 49.9924179572 | 49.9978509838 | 50.0041436626 | 50.0111977572 | 50.0188232386 | 50.0270264266 | 50.0361234572 | 50.0465467322 | 50.0585093015 | 50.0721651223 | 50.0871607921 | 50.1025998379 | 50.1173110756 | 50.1304991359 | 50.1418985231 | |
Completeness of birth registration, rural (%) | SP.REG.BRTH.RU.ZS | 43 | 41.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Completeness of birth registration, urban (%) | SP.REG.BRTH.UR.ZS | 69 | 70.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Completeness of birth registration (%) | SP.REG.BRTH.ZS | 55 | 53 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Rural population | SP.RUR.TOTL | 78535279.17368 | 80255292.836914 | 82030001.584048 | 83860717.38806 | 85751138.687252 | 87702974.16856 | 89696938.484444 | 91743901.231446 | 93839490.207762 | 95978534.240948 | 98156207.3646 | 100135222.262894 | 102134449.449664 | 104148685.901502 | 106172388.679002 | 108200684.27458 | 110078211.8862 | 111942950.591464 | 113796663.68576 | 115643199.469654 | 117482781.47424 | 118944813.00471 | 120372844.8888 | 121748553.7042 | 123049245.04652 | 124258588.56399 | 125195388.5314 | 126030000.01827 | 126765762.552 | 127409288.61885 | 127965577.01624 | 128258270.596 | 128458728.71748 | 128566828.99232 | 128582039.0624 | 128505542.47194 | 127738264.578996 | 126866205.620624 | 125903220.564564 | 124866074.431776 | 123765070.47178 | 123692183.81289 | 123583436.1876 | 123424695.17695 | 123196682.2535 | 122886915.50025 | 122467493.570832 | 121968493.814772 | 121401140.881032 | 120780825.69933 | 120117770.41212 | 119500949.774596 | |
Rural population growth (annual %) | SP.RUR.TOTL.ZG | 2.1567066121 | 2.1664774133 | 2.1872339136 | 2.2072242972 | 2.2292068812 | 2.2506446676 | 2.2480826089 | 2.2564375259 | 2.2584758628 | 2.2538793047 | 2.2435597568 | 1.9961332811 | 1.9768581983 | 1.9529473092 | 1.9244531134 | 1.8923609159 | 1.720343973 | 1.6798241516 | 1.6423832111 | 1.6096380351 | 1.5782197936 | 1.2367847079 | 1.1934337365 | 1.136391602 | 1.0626758813 | 0.978014436 | 0.7510839332 | 0.6644348823 | 0.582102013 | 0.5063655453 | 0.4356648614 | 0.2284671859 | 0.1561705401 | 0.0841163674 | 0.011829778 | -0.0595101422 | -0.5988673014 | -0.6850330381 | -0.7619511027 | -0.8271762669 | -0.8856582768 | -0.058908486 | -0.0879566148 | -0.1285310177 | -0.1849093463 | -0.2517574675 | -0.3418910135 | -0.4082872204 | -0.4662487678 | -0.5122731036 | -0.5504863642 | -0.5148362361 | |
Rural population (% of total population) | SP.RUR.TOTL.ZS | 85.414 | 85.1734 | 84.9328 | 84.6922 | 84.4516 | 84.211 | 83.9546 | 83.6982 | 83.4418 | 83.1854 | 82.929 | 82.4798 | 82.0306 | 81.5814 | 81.1322 | 80.683 | 80.1256 | 79.5682 | 79.0108 | 78.4534 | 77.896 | 77.099 | 76.302 | 75.505 | 74.708 | 73.911 | 73.012 | 72.113 | 71.214 | 70.315 | 69.416 | 68.422 | 67.428 | 66.434 | 65.44 | 64.446 | 63.1564 | 61.8668 | 60.5772 | 59.2876 | 57.998 | 57.211 | 56.424 | 55.637 | 54.85 | 54.063 | 53.2656 | 52.4682 | 51.6708 | 50.8734 | 50.076 | 49.3142 | |
Urban population growth (annual %) | SP.URB.GROW | 3.9841372028 | 4.0846317701 | 4.0798492989 | 4.0751397499 | 4.0732224331 | 4.0715237426 | 4.1638912687 | 4.1476406942 | 4.1258763902 | 4.0982433462 | 4.0656189973 | 5.1366121533 | 5.0545458762 | 4.9711239006 | 4.8861644746 | 4.8004407656 | 5.258286673 | 5.1439168756 | 5.0369304713 | 4.938612615 | 4.8452968347 | 5.8074130547 | 5.6535576081 | 5.4942545755 | 5.3257581695 | 5.1531288493 | 5.3627248018 | 5.1802134507 | 5.0094452419 | 4.8520646315 | 4.7059536117 | 4.8691329214 | 4.718810183 | 4.575317825 | 4.4376873158 | 4.3066650593 | 4.9854060149 | 4.8183539714 | 4.6704626539 | 4.5435029304 | 4.4319589783 | 3.1637078756 | 3.1197501407 | 3.066009078 | 2.9981658546 | 2.9215191539 | 2.8650021285 | 2.7919025955 | 2.728893119 | 2.6794607158 | 2.639468802 | 2.5325360423 | |
Urban population | SP.URB.TOTL | 13411332.82632 | 13970478.163086 | 14552239.415952 | 15157512.61194 | 15787658.312748 | 16443721.83144 | 17142875.515556 | 17868851.768554 | 18621518.792238 | 19400527.759052 | 20205532.6354 | 21270530.737106 | 22373294.550336 | 23513607.098498 | 24691052.320998 | 25905241.72542 | 27303863.1138 | 28745101.408536 | 30230056.31424 | 31760481.530346 | 33337262.52576 | 35330615.99529 | 37385595.1112 | 39497130.2958 | 41657673.95348 | 43860620.43601 | 46276956.4686 | 48737378.98173 | 51241037.448 | 53788590.38115 | 56380361.98376 | 59193529.404 | 62053712.28252 | 64958819.00768 | 67906406.9376 | 70894796.52806 | 74518774.421004 | 78197262.379376 | 81936066.435436 | 85744701.568224 | 89630340.52822 | 92511315.18711 | 95442928.8124 | 98414539.82305 | 101409848.7465 | 104416259.49975 | 107451053.429168 | 110493252.185228 | 113550013.118968 | 116633669.30067 | 119753166.58788 | 122824688.225404 | |
Urban population (% of total) | SP.URB.TOTL.IN.ZS | 14.586 | 14.8266 | 15.0672 | 15.3078 | 15.5484 | 15.789 | 16.0454 | 16.3018 | 16.5582 | 16.8146 | 17.071 | 17.5202 | 17.9694 | 18.4186 | 18.8678 | 19.317 | 19.8744 | 20.4318 | 20.9892 | 21.5466 | 22.104 | 22.901 | 23.698 | 24.495 | 25.292 | 26.089 | 26.988 | 27.887 | 28.786 | 29.685 | 30.584 | 31.578 | 32.572 | 33.566 | 34.56 | 35.554 | 36.8436 | 38.1332 | 39.4228 | 40.7124 | 42.002 | 42.789 | 43.576 | 44.363 | 45.15 | 45.937 | 46.7344 | 47.5318 | 48.3292 | 49.1266 | 49.924 | 50.6858 | |
Unmet need for contraception (% of married women ages 15-49) | SP.UWT.TFRT | 14.1 | 10.6 | 9.2 | 8.6 | 9.1 | 15 | |||||||||||||||||||||||||||||||||||||||||||||||
International tourism, number of arrivals | ST.INT.ARVL | 4324000 | 5034000 | 5185000 | 4606000 | 4728000 | 5064000 | 5153000 | 5033000 | 4467000 | 5321000 | 5002000 | 4871000 | 5506000 | 6234000 | 6324000 | 7003000 | |||||||||||||||||||||||||||||||||||||
International tourism, number of departures | ST.INT.DPRT | 2205000 | 2505000 | 3231000 | 3478000 | 3941000 | 4106000 | 4967000 | 5158000 | 5486000 | 5053000 | 6235000 | ||||||||||||||||||||||||||||||||||||||||||
International tourism, receipts (current US$) | ST.INT.RCPT.CD | 5229000000 | 6184000000 | 6648000000 | 4255000000 | 4352000000 | 4975000000 | 5277000000 | 5797000000 | 4461000000 | 5226000000 | 5094000000 | 4890000000 | 5831000000 | 8150000000 | 6054000000 | 7618000000 | |||||||||||||||||||||||||||||||||||||
International tourism, receipts (% of total exports) | ST.INT.RCPT.XP.ZS | 9.880392268 | 10.8898163312 | 10.5125001977 | 7.7575244989 | 7.7936305324 | 7.0445934311 | 8.3941728935 | 8.8062804967 | 6.4277566529 | 6.310636963 | 5.0979854903 | 4.2504074635 | 4.468154381 | 5.2630688372 | 4.5586938685 | 4.357119921 | |||||||||||||||||||||||||||||||||||||
International tourism, receipts for passenger transport items (current US$) | ST.INT.TRNR.CD | 512000000 | 424000000 | 428000000 | 572000000 | 442000000 | 485000000 | 773000000 | 456000000 | 660000000 | ||||||||||||||||||||||||||||||||||||||||||||
International tourism, expenditures for passenger transport items (current US$) | ST.INT.TRNX.CD | 1753000000 | 1345000000 | 1062000000 | 1156000000 | 1428000000 | 1674000000 | 3247000000 | 1592000000 | 2037000000 | ||||||||||||||||||||||||||||||||||||||||||||
International tourism, receipts for travel items (current US$) | ST.INT.TVLR.CD | 5229000000 | 6184000000 | 6648000000 | 4255000000 | 4352000000 | 4975000000 | 5277000000 | 5285000000 | 4037000000 | 4798000000 | 4522000000 | 4448000000 | 5346000000 | 7377000000 | 5598000000 | 6958000000 | |||||||||||||||||||||||||||||||||||||
International tourism, expenditures for travel items (current US$) | ST.INT.TVLX.CD | 2172000000 | 2399000000 | 2411000000 | 2102000000 | 2353000000 | 3197000000 | 3406000000 | 3289000000 | 3082000000 | 3507000000 | 3584000000 | 4030000000 | 4904000000 | 5554000000 | 5316000000 | 6395000000 | |||||||||||||||||||||||||||||||||||||
International tourism, expenditures (current US$) | ST.INT.XPND.CD | 2172000000 | 2399000000 | 2411000000 | 2102000000 | 2353000000 | 3197000000 | 3406000000 | 5042000000 | 4427000000 | 4569000000 | 4740000000 | 5458000000 | 6578000000 | 8801000000 | 6908000000 | 8432000000 | |||||||||||||||||||||||||||||||||||||
International tourism, expenditures (% of total imports) | ST.INT.XPND.MP.ZS | 3.9881750243 | 4.0401488742 | 3.8373388509 | 4.7739789668 | 5.4753383075 | 5.708677886 | 6.7380668834 | 9.5679493552 | 7.7739509027 | 6.3927890546 | 5.1797282356 | 5.7294743668 | 6.002477094 | 6.0723515457 | 6.1894006686 | 5.4918573696 | |||||||||||||||||||||||||||||||||||||
Merchandise trade (% of GDP) | TG.VAL.TOTL.GD.ZS | 21.9735006658 | 19.3749775821 | 18.578337385 | 21.8448461588 | 23.7259824808 | 28.7692862798 | 34.593426879 | 41.3839415301 | 36.9286342965 | 36.1570790212 | 35.2988870119 | 33.7643127514 | 41.3501750492 | 41.9710990781 | 38.4238235152 | 41.3365700098 | 43.9315340597 | 40.8435152906 | 33.0345452942 | 33.4658754989 | 39.5445162291 | 36.8452254724 | 38.0502929791 | 41.5218509801 | 42.9210099759 | 44.0257634689 | 41.233022524 | 40.724249615 | 42.5697000071 | 40.7895210692 | 49.8737294231 | 89.7370299392 | 60.402273602 | 66.0509825423 | 59.1441603576 | 49.8342509945 | 45.2795871096 | 48.9194536172 | 56.9216028967 | 50.5188088083 | 48.8443821234 | 52.3561608928 | 39.5551996362 | 41.4388219795 | 44.6164871862 | ||||||||
Import volume index (2000 = 100) | TM.QTY.MRCH.XD.WD | 46.046719796 | 59.884344608 | 61.759612643 | 53.102896904 | 41.365100742 | 45.041845884 | 46.720059222 | 44.918828747 | 52.488133222 | 66.485612595 | 74.938188813 | 77.52037112 | 82.061502675 | 90.027275875 | 106.33887419 | 114.36510305 | 118.44021511 | 82.390366442 | 73.080283881 | 100 | 93.575805274 | 92.434217393 | 94.722700408 | 111.9081995 | 134.96283084 | 132.20612294 | 140.95753147 | 163.83390889 | 134.96431079 | 180.14165029 | 202.51795587 | ||||||||||||||||||||||
Binding coverage, manufactured products (%) | TM.TAX.MANF.BC.ZS | 96.09 | 96.05 | 96.05 | 96.05 | 96.05 | 96.14 | 96.14 | 96.14 | 96.14 | 96.14 | 96.12 | 96.12 | 96.12 | ||||||||||||||||||||||||||||||||||||||||
Bound rate, simple mean, manufactured products (%) | TM.TAX.MANF.BR.ZS | 35.34 | 35.23 | 35.23 | 35.23 | 35.23 | 35.21 | 35.21 | 35.21 | 35.21 | 35.21 | 35.49 | 35.49 | 35.49 | ||||||||||||||||||||||||||||||||||||||||
Share of tariff lines with international peaks, manufactured products (%) | TM.TAX.MANF.IP.ZS | 49.9168 | 48.37955 | 49.13272 | 40.33342 | 27.42255 | 26.05743 | 11.8226 | 3.291819 | 3.524827 | 3.092366 | 7.96119 | 8.277211 | 8.277211 | 13.67341 | 12.24266 | 7.820251 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, simple mean, manufactured products (%) | TM.TAX.MANF.SM.AR.ZS | 18.91 | 16.88 | 16.89 | 14.32 | 10.6 | 9.72 | 8.09 | 6.07 | 6.26 | 5.73 | 5.9 | 5.9 | 5.9 | 5.78 | 5.19 | 5.03 | |||||||||||||||||||||||||||||||||||||
2 | TM.TAX.MANF.SM.FN.ZS | 23.58 | 19.36 | 18.62 | 16.24 | 12.37 | 11.18 | 8.97 | 7 | 7.03 | 7.03 | 7.13 | 7.13 | 7.13 | 7.04 | 6.91 | 7.33 | |||||||||||||||||||||||||||||||||||||
Share of tariff lines with specific rates, manufactured products (%) | TM.TAX.MANF.SR.ZS | 0.3132239 | 0.322115 | 0 | 0 | 0.0330519 | 0.06036 | 0.0243529 | 0.0238646 | 0.038758 | 0.0276269 | 0.0844494 | 0.1004138 | 0.1298454 | 0.0863167 | 0.1619814 | 0.0768353 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, weighted mean, manufactured products (%) | TM.TAX.MANF.WM.AR.ZS | 15.55 | 15.82 | 14.51 | 13.11 | 9.36 | 8.11 | 6.71 | 5.25 | 5.91 | 4.28 | 4.97 | 4.74 | 4.63 | 4.42 | 3.54 | 2.93 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, weighted mean, manufactured products (%) | TM.TAX.MANF.WM.FN.ZS | 15.55 | 15.82 | 14.51 | 13.15 | 9.36 | 8.11 | 6.71 | 5.47 | 6.25 | 5.68 | 6.52 | 6.53 | 6.53 | 6.46 | 6.44 | 6.84 | |||||||||||||||||||||||||||||||||||||
Binding coverage, all products (%) | TM.TAX.MRCH.BC.ZS | 96.61 | 96.58 | 96.58 | 96.58 | 96.58 | 96.59 | 96.59 | 96.59 | 96.59 | 96.59 | 96.58 | 96.58 | 96.58 | ||||||||||||||||||||||||||||||||||||||||
Bound rate, simple mean, all products (%) | TM.TAX.MRCH.BR.ZS | 37.18 | 37.13 | 37.13 | 37.13 | 37.13 | 37.14 | 37.14 | 37.14 | 37.14 | 37.14 | 37.45 | 37.45 | 37.45 | ||||||||||||||||||||||||||||||||||||||||
Share of tariff lines with international peaks, all products (%) | TM.TAX.MRCH.IP.ZS | 49.22224 | 47.78608 | 48.31052 | 39.03874 | 26.98699 | 25.90663 | 10.45298 | 3.185783 | 3.64239 | 3.176939 | 7.626908 | 7.872895 | 7.872895 | 12.72942 | 11.47197 | 7.034948 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, simple mean, all products (%) | TM.TAX.MRCH.SM.AR.ZS | 18.74 | 16.83 | 16.74 | 14.01 | 10.76 | 9.86 | 7.78 | 6.07 | 6.45 | 5.95 | 6.07 | 6 | 5.99 | 5.88 | 5.24 | 4.79 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, simple mean, all products (%) | TM.TAX.MRCH.SM.FN.ZS | 22.18 | 18.7 | 17.92 | 15.34 | 12.35 | 11.19 | 8.43 | 6.89 | 6.9 | 6.9 | 6.95 | 6.95 | 6.95 | 6.9 | 6.81 | 6.72 | |||||||||||||||||||||||||||||||||||||
Share of tariff lines with specific rates, all products (%) | TM.TAX.MRCH.SR.ZS | 0.2859293 | 0.2690458 | 0 | 0 | 0.0273424 | 0.0527221 | 0.0197401 | 0.0761109 | 0.0602634 | 0.1741611 | 0.2083417 | 0.3104931 | 0.337756 | 0.2050021 | 0.2821708 | 0.5380291 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, weighted mean, all products (%) | TM.TAX.MRCH.WM.AR.ZS | 12.96 | 13.32 | 12.51 | 10.84 | 7.73 | 6.05 | 5.16 | 4.13 | 5.5 | 4 | 4.67 | 4.39 | 4.31 | 3.85 | 3.15 | 2.49 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, weighted mean, all products (%) | TM.TAX.MRCH.WM.FN.ZS | 12.96 | 13.32 | 12.51 | 10.89 | 7.73 | 6.05 | 5.16 | 4.31 | 5.79 | 5.22 | 6.09 | 6.07 | 6.07 | 5.44 | 5.33 | 5.45 | |||||||||||||||||||||||||||||||||||||
Binding coverage, primary products (%) | TM.TAX.TCOM.BC.ZS | 99.21 | 99.22 | 99.22 | 99.22 | 99.22 | 99.24 | 99.24 | 99.24 | 99.24 | 99.24 | 99.19 | 99.19 | 99.19 | ||||||||||||||||||||||||||||||||||||||||
Bound rate, simple mean, primary products (%) | TM.TAX.TCOM.BR.ZS | 43.23 | 43.46 | 43.46 | 43.46 | 43.46 | 43.47 | 43.47 | 43.47 | 43.47 | 43.47 | 43.69 | 43.69 | 43.69 | ||||||||||||||||||||||||||||||||||||||||
Share of tariff lines with international peaks, primary products (%) | TM.TAX.TCOM.IP.ZS | 45.96503 | 45.11861 | 44.99149 | 33.6293 | 25.27156 | 25.8067 | 4.516899 | 2.608752 | 4.16964 | 3.48636 | 5.35873 | 5.079172 | 5.079172 | 7.332511 | 7.011212 | 2.414649 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, simple mean, primary products (%) | TM.TAX.TCOM.SM.AR.ZS | 17.66 | 16.48 | 15.92 | 12.28 | 11.73 | 10.75 | 6.02 | 6.07 | 7.67 | 7.34 | 7.24 | 6.64 | 6.64 | 6.62 | 5.67 | 3.21 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, simple mean, primary products (%) | TM.TAX.TCOM.SM.FN.ZS | 17.57 | 16.56 | 15.61 | 12.41 | 12.32 | 11.3 | 6.62 | 6.56 | 6.52 | 6.47 | 6.47 | 6.47 | 6.47 | 6.56 | 6.6 | 4.74 | |||||||||||||||||||||||||||||||||||||
Share of tariff lines with specific rates, primary products (%) | TM.TAX.TCOM.SR.ZS | 0.1464129 | 0 | 0 | 0 | 0 | 0.0154024 | 0 | 0.3065284 | 0.1631155 | 0.8324404 | 1.066667 | 1.790499 | 1.80268 | 0.8960131 | 0.9906312 | 3.279898 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, weighted mean, primary products (%) | TM.TAX.TCOM.WM.AR.ZS | 5.81 | 5.26 | 5.95 | 4.84 | 3.72 | 3.25 | 2.76 | 2.37 | 4.14 | 3.05 | 3.6 | 3.33 | 3.33 | 2.56 | 2.28 | 1.57 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, weighted mean, primary products (%) | TM.TAX.TCOM.WM.FN.ZS | 5.81 | 5.26 | 5.95 | 4.92 | 3.72 | 3.25 | 2.76 | 2.49 | 4.28 | 3.66 | 4.54 | 4.62 | 4.62 | 3.16 | 2.84 | 2.49 | |||||||||||||||||||||||||||||||||||||
Agricultural raw materials imports (% of merchandise imports) | TM.VAL.AGRI.ZS.UN | 1.417593769 | 1.4627248416 | 1.8142853785 | 1.228927004 | 1.6575950456 | 1.6665585761 | 2.1277225966 | 2.4871271337 | 2.8128038214 | 2.4519092577 | 2.825019259 | 3.2019763364 | 3.6609328791 | 3.5350461284 | 3.1971969199 | 2.5693237456 | 2.6354585839 | 3.9127350618 | 4.1075837623 | 4.1063493293 | 4.9939217207 | 5.3768681437 | 5.4233239408 | 4.6840712675 | 4.7409983486 | 5.6109665172 | 5.2118565201 | 5.625641179 | 6.1822604725 | 5.4530809394 | 4.745813394 | 6.6823001616 | 7.107676425 | 7.1788872279 | 7.4744766261 | 5.8034911093 | 5.3118654593 | 4.5520135583 | 3.4534714867 | 3.4120651831 | 3.5120119884 | 3.0399452026 | 2.8010064221 | 3.0771248791 | |||||||||
Food imports (% of merchandise imports) | TM.VAL.FOOD.ZS.UN | 9.2591239609 | 24.9861105616 | 15.5624336931 | 15.3722145562 | 9.4221304075 | 9.9441503684 | 10.3181200366 | 14.969100867 | 12.5032215169 | 14.5734624761 | 16.3414187617 | 17.6379704732 | 16.0043234843 | 12.6780338096 | 11.0492752861 | 7.1641942432 | 7.7277878812 | 6.5035462092 | 6.909114738 | 7.1745270321 | 6.9989217136 | 7.664208345 | 7.603111766 | 5.0511497113 | 5.4745378947 | 6.3579132672 | 6.4646726155 | 7.7581812472 | 8.835954924 | 10.7888197695 | 8.8165554975 | 10.5220435888 | 15.7014358338 | 10.0047353948 | 9.923356388 | 11.1192414187 | 11.4955348446 | 9.6876137708 | 8.0798018461 | 8.858846005 | 10.5501512452 | 7.2579850274 | 8.9166921574 | 8.4594130715 | 9.4324303102 | ||||||||
Fuel imports (% of merchandise imports) | TM.VAL.FUEL.ZS.UN | 2.1608950188 | 0.8765741502 | 2.3073181875 | 1.6546297265 | 2.6165829862 | 2.5513406159 | 1.8282323833 | 4.807237224 | 5.3832030722 | 7.7626326292 | 11.8832160737 | 8.7537538277 | 11.0967226948 | 16.1871606656 | 13.2697143461 | 21.4701987202 | 25.3273306095 | 19.501792521 | 12.5379393256 | 10.3100578121 | 9.0911843309 | 7.2189088784 | 7.7160794334 | 8.9138954414 | 9.0363102496 | 7.7944090917 | 7.7058663642 | 7.6797133442 | 7.5127133179 | 8.7142372434 | 9.7591219815 | 10.0049820795 | 15.6998065567 | 18.501474293 | 18.2820703366 | 21.4849579804 | 24.1091208539 | 25.8048722658 | 30.7834231734 | 31.5112003475 | 29.7033761501 | 23.8505819854 | 19.8051655483 | 20.3930524268 | 23.1144745605 | ||||||||
ICT goods imports (% total goods imports) | TM.VAL.ICTG.ZS.UN | 2.0902481142 | 2.5285460779 | 2.9468870396 | 3.5152132454 | 3.8294327874 | 3.600828906 | 3.4992144494 | 4.9520250804 | 9.0613604035 | 8.9015182562 | 8.621610902 | ||||||||||||||||||||||||||||||||||||||||||
Insurance and financial services (% of commercial service imports) | TM.VAL.INSF.ZS.WT | 3.9220939819 | 4.3373493976 | 4.8391674551 | 4.0165732391 | 2.7784431138 | 3.1227305737 | 3.1400742115 | 3.360930857 | 3.3490833491 | 3.9725330621 | 4.267565872 | 3.7239979706 | 3.2423137051 | 3.1896551724 | 3.4089191232 | 3.2888949042 | 3.1392623659 | 2.8104514487 | 2.2401034355 | 2.0997306256 | 1.8359632114 | 1.8679220381 | 1.7447765791 | 4.5889469501 | 4.0179572236 | 3.4438251588 | 4.3071299508 | 3.6593302958 | 7.6132817283 | 6.2628628596 | 6.0492595966 | ||||||||||||||||||||||
Manufactures imports (% of merchandise imports) | TM.VAL.MANF.ZS.UN | 85.971847275 | 71.4539985423 | 78.4413436293 | 79.4960463655 | 84.1398968413 | 83.3559316009 | 83.284297284 | 75.3512259541 | 77.3287516235 | 72.8340260749 | 66.7500368998 | 67.5475536345 | 66.2201196875 | 64.9177395003 | 68.9490726236 | 66.2326775395 | 61.921994334 | 66.9599351069 | 72.1113523111 | 74.0599148653 | 74.6092139529 | 75.1809329108 | 74.5274478872 | 76.8646658707 | 76.2830179112 | 75.9917855227 | 76.3246491793 | 75.0919868043 | 72.9140785734 | 71.1960755601 | 73.0964922397 | 69.0979196031 | 57.843600252 | 60.9180718336 | 60.8220359016 | 58.4089417983 | 56.0465899591 | 56.4193152509 | 54.5513260507 | 52.6593521339 | 52.5910588163 | 61.8905121483 | 65.3296707804 | 63.3195913656 | 59.7417652475 | ||||||||
Ores and metals imports (% of merchandise imports) | TM.VAL.MMTL.ZS.UN | 1.1311719177 | 1.1573189038 | 1.6947793572 | 2.1012212277 | 1.9720602329 | 2.2597668463 | 2.4094192967 | 2.3670571401 | 1.9437861924 | 2.3307929454 | 2.0766291673 | 2.4451297839 | 2.6346168647 | 2.4374278889 | 2.996665804 | 2.1919182081 | 2.0255571642 | 2.5373540553 | 3.910282434 | 3.9646915424 | 3.6333473782 | 3.9475763624 | 4.4095737844 | 4.3223843993 | 4.1646818675 | 3.8023472212 | 3.9851030077 | 3.6759336772 | 4.367070514 | 3.6932906654 | 3.3786346514 | 3.2695810357 | 3.4996740125 | 3.3143626633 | 3.3931108222 | 3.0961798213 | 2.9130162118 | 3.4475929045 | 3.1049546495 | 3.5441321376 | 3.5712253504 | 3.9420711692 | 3.063062122 | 3.4187414638 | 3.456815874 | ||||||||
Merchandise imports from economies in the Arab World (% of total merchandise imports) | TM.VAL.MRCH.AL.ZS | 3.4627831715 | 1.3044612575 | 2.6249209361 | 3.6240541617 | 0.0153022188 | 0.0303490137 | 0.0594412522 | 0.0156862745 | 0.0141282848 | 0 | 0 | 0 | 0 | 0 | 2.069396361 | 1.6207489412 | 0.3701288401 | 4.7122100024 | 3.5410002691 | 5.1552812223 | 9.0225425152 | 5.7206375523 | 7.3202125893 | 6.1529146995 | 10.7274338451 | 9.5106474092 | 6.7264657616 | 5.7984199558 | 5.3584402105 | 4.3503492531 | 3.0862197648 | 3.9951386633 | 3.8994247443 | 1.9823440074 | 3.4215905868 | 3.5146952613 | 2.5809077046 | 2.8630987616 | 2.9504946693 | 8.3451975422 | 8.2158070455 | 9.0374295568 | 7.5283972143 | 8.3742584097 | 8.2394734493 | 8.1775478163 | 9.9732894579 | 8.846796837 | 7.2205881228 | 6.5738528875 | 5.8518175677 | ||
Merchandise imports (current US$) | TM.VAL.MRCH.CD.WT | 574100000 | 794000000 | 647100000 | 521400000 | 679900000 | 694600000 | 526600000 | 649200000 | 715800000 | 780700000 | 1001500000 | 1102800000 | 1561700000 | 2729100000 | 3841900000 | 4769800000 | 5673100000 | 6230300000 | 6690400000 | 7202300000 | 10834000000 | 13272000000 | 16859000000 | 16352000000 | 13882000000 | 10262000000 | 10718000000 | 12891000000 | 13249000000 | 16444000000 | 21837000000 | 25869000000 | 27280000000 | 28328000000 | 31983000000 | 40630000000 | 42929000000 | 51304000000 | 35280000000 | 33321000000 | 43595000000 | 37534000000 | 38340000000 | 42196000000 | 54876590000 | 75724931000 | 80649687000 | 93100595000 | 127538457000 | 93785930000 | 135323490000 | 176354558000 | |
Merchandise imports from high-income economies (% of total merchandise imports) | TM.VAL.MRCH.HI.ZS | 79.6925566343 | 72.9976519697 | 70.5407969639 | 61.2704101951 | 52.0581484315 | 60.7283763278 | 74.3015652863 | 78.6196078431 | 77.5360271263 | 80.9462086844 | 80.8653260207 | 81.6656024811 | 80.3391354615 | 80.6739748274 | 87.6018429341 | 85.2476202457 | 86.8798138781 | 86.0881432127 | 87.6326567218 | 86.9325730735 | 90.1746745038 | 88.9701948076 | 91.1927302062 | 92.6459795983 | 93.3279540068 | 91.7769688948 | 91.1802551097 | 89.4824422257 | 88.1051226926 | 83.0707826849 | 85.5693680945 | 87.5812251479 | 88.5914909521 | 86.4855797609 | 85.1327569682 | 79.0845789247 | 81.6798304981 | 82.0206638839 | 80.9848597654 | 76.834062685 | 77.4176989049 | 76.544358721 | 71.4796857086 | 68.2281565078 | 67.3948107219 | 69.6240575965 | 67.913013015 | 62.0404911531 | 65.791855622 | 63.3480554828 | 61.7759045586 | ||
Merchandise imports from developing economies outside region (% of total merchandise imports) | TM.VAL.MRCH.OR.ZS | 8.3333333333 | 4.8004174276 | 6.9576217584 | 8.0844285145 | 5.1568477429 | 6.4036418816 | 6.5781652467 | 4.4078431373 | 5.1426956767 | 4.0829552819 | 2.8437944343 | 2.8094499681 | 2.1902498555 | 3.6577713801 | 3.995626936 | 6.132846899 | 4.5613973245 | 3.8195392149 | 5.8892110849 | 5.7946744907 | 3.2452732692 | 5.1953728475 | 4.1764538401 | 2.7648670466 | 3.4228366822 | 4.1051893954 | 3.7240787707 | 4.0006531679 | 4.8891689525 | 8.5085735726 | 8.1652045031 | 5.4716556502 | 4.5290471052 | 6.1964395874 | 6.0090883167 | 7.3879066188 | 7.8259896904 | 8.137570499 | 6.7169990354 | 7.9096273347 | 7.516135048 | 9.1578749772 | 11.2469974155 | 10.6307426726 | 12.0415145884 | 8.5153076685 | 8.1991944914 | 10.1460336366 | 9.3310880452 | 9.9352061305 | 9.7097952759 | ||
Merchandise imports from developing economies in East Asia & Pacific (% of total merchandise imports) | TM.VAL.MRCH.R1.ZS | 4.3873382421 | 2.9920102591 | 3.7217269436 | 4.6471729077 | 5.8559609343 | 6.365927793 | 7.4174418725 | 5.8135876148 | 6.6188764379 | 6.3908402539 | 6.4675710404 | 8.0130977525 | 12.8123478945 | 9.0403595633 | 8.497524676 | 10.7977198672 | 14.6336909537 | 14.1483013539 | 13.3881102979 | 16.493284029 | 20.1681656354 | 20.0407613216 | 21.2888711484 | 23.1818055808 | 27.762471229 | 24.8044807163 | 26.3978335495 | 28.3648793076 | |||||||||||||||||||||||||
Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports) | TM.VAL.MRCH.R2.ZS | 0.991482235 | 1.437128646 | 0.2700198377 | 1.1259596254 | 0.8174874403 | 0.700144234 | 0.8441505313 | 1.0000438409 | 1.0575290063 | 1.2825446883 | 2.0212027745 | 1.6186901998 | 1.5837063919 | 2.5542772183 | 2.9173298171 | 2.3673626278 | 2.2932211063 | ||||||||||||||||||||||||||||||||||||
Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports) | TM.VAL.MRCH.R3.ZS | 0.8737864078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4216883151 | 0.4969178513 | 0.2608527063 | 1.2587300313 | 1.1359899555 | 0.7376550044 | 1.0140902254 | 1.9744526923 | 0.9781241844 | 0.7852442574 | 0.9682787836 | 1.8365320979 | 1.6112188572 | 1.6990140276 | 1.6087182148 | 2.6427360511 | 2.3230606321 | 2.25769777 | 1.759980416 | 2.1782389805 | 2.2914231824 | 2.647172157 | 2.485056309 | 2.1126248179 | 1.7990923546 | 2.3556749328 | 1.7115613553 | 1.3850393353 | 1.6041279511 | 1.6774617132 | 2.1206773298 | 1.9584533722 | 2.0160686129 | 2.013544567 | 1.9737111046 | 2.462593439 | 2.4531055487 | ||
Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports) | TM.VAL.MRCH.R4.ZS | 3.4466019417 | 1.3044612575 | 2.6249209361 | 3.6240541617 | 0.0153022188 | 0.0303490137 | 0.0594412522 | 0.0156862745 | 0.0141282848 | 0 | 0 | 0 | 0 | 0 | 0.1379597574 | 0.3270851679 | 0.1128011703 | 0.009633138 | 0.0986517593 | 0.182683791 | 0.0987330793 | 0.6526244395 | 0.59078938 | 0.6121725091 | 1.0381619994 | 0.8759294585 | 0.707705505 | 0.9276538832 | 1.3359033286 | 3.7365774755 | 3.6794625919 | 1.1140032966 | 1.1006905535 | 2.1367969295 | 1.2226210629 | 1.0432467917 | 1.4624853854 | 1.4668799893 | 1.0032924119 | 1.0894550649 | 0.5811470762 | 2.1081274984 | 1.5154410023 | 1.4284903066 | 0.7824363692 | 0.5634273098 | 1.3111259753 | 1.4002859842 | 0.9301175671 | 0.8354217407 | 0.9572293212 | ||
Merchandise imports from developing economies in South Asia (% of total merchandise imports) | TM.VAL.MRCH.R5.ZS | 1.8446601942 | 1.8523349857 | 2.4351676154 | 1.0553564317 | 2.0504973221 | 2.564491654 | 3.1503863681 | 2.431372549 | 3.3484035038 | 2.9682436811 | 2.0312817388 | 1.6692511174 | 1.6892542874 | 3.4215480013 | 1.9496577036 | 1.1657650858 | 2.6614026121 | 1.6649273501 | 2.3093480016 | 2.0316651904 | 0.5314976978 | 0.8440408455 | 1.4710418298 | 0.6109493872 | 0.5734746367 | 0.4272589247 | 0.5426674623 | 0.5233118721 | 0.7532063163 | 0.940085843 | 1.3173433555 | 1.2888751602 | 1.2079165487 | 1.458318853 | 1.1201770536 | 1.493097561 | 2.5115408089 | 2.0132666149 | 1.6741245661 | 1.6976038205 | 2.0199629145 | 2.235509632 | 2.3468119617 | 2.2165249467 | 2.5063522935 | 1.9764698981 | 2.4712632378 | 2.3121263432 | 2.3532295092 | 2.457025018 | 2.5855794383 | ||
Merchandise imports from developing economies in Sub-Saharan Africa (% of total merchandise imports) | TM.VAL.MRCH.R6.ZS | 0.0485436893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4997787438 | 1.9981549042 | 0.8918342528 | 0.4399133018 | 0.9282233715 | 1.6137068202 | 1.1294326078 | 1.1907004785 | 0.6655277956 | 0.2507399887 | 0.306909793 | 0.8408922801 | 0.425182754 | 0.4999844484 | 0.617540218 | 0.5826734914 | 0.3748170723 | 0.3483506515 | 0.3314943494 | 0.3245519313 | 0.3833847827 | 0.7672614631 | 1.0968873478 | 1.4188394515 | 1.4230022625 | 2.0667492825 | 2.3593131707 | 2.4291546706 | 4.7230874941 | 4.0257210179 | 4.6108458214 | 2.3982668886 | 0.8170302735 | 1.8657995238 | 1.1567000496 | 1.812803305 | 1.420659863 | ||
Merchandise imports by the reporting economy, residual (% of total merchandise imports) | TM.VAL.MRCH.RS.ZS | 11.9741100324 | 22.2019306027 | 22.5015812777 | 30.6451612903 | 42.7850038256 | 32.8679817906 | 19.120269467 | 16.9725490196 | 17.3212771969 | 14.9708360337 | 16.290879545 | 15.5249475509 | 17.470614683 | 15.6682537925 | 8.4025301299 | 8.6195328553 | 8.5587887974 | 10.0923175724 | 6.4781321934 | 7.2727524358 | 6.580052227 | 5.8344323449 | 4.6308159537 | 0.2018151129 | 0.2571990519 | 0.3961147662 | 0.448493212 | 0.660943672 | 0.6397805619 | 1.00320187 | 0.4518397877 | 0.328242764 | 0.4886216888 | 0.8504096113 | 0.8450569626 | 0.7151665619 | 1.4538202481 | 1.3442409411 | 1.500421332 | 0.6226190266 | 0.9178646932 | 0.9096560039 | 0.7800328469 | 0.9729351841 | 0.5229133682 | 0.5717635866 | 0.7059869129 | 0.0510039814 | 0.0725756164 | 0.3189048372 | 0.1494208579 | ||
Merchandise imports by the reporting economy (current US$) | TM.VAL.MRCH.WL.CD | 618000000 | 766600000 | 632400000 | 502200000 | 653500000 | 659000000 | 504700000 | 637500000 | 707800000 | 771500000 | 984600000 | 1096300000 | 1556900000 | 2709300000 | 3841700000 | 4769400000 | 5673700000 | 6228500000 | 6690200000 | 7225600000 | 10837300000 | 13269500000 | 16858800000 | 16351600000 | 13880300000 | 10274800000 | 10724800000 | 12860400000 | 13489000000 | 16469978370 | 22005069430 | 25928884760 | 27279796220 | 28328009210 | 32040917000 | 40629696000 | 42902309060 | 41717085000 | 27362327050 | 24004415640 | 33518150910 | 30964232500 | 31292541200 | 32555564560 | 46527868250 | 57713990490 | 61072785080 | 74483761800 | 129273624700 | 96967991680 | 135690995800 | ||
Merchandise imports from developing economies within region (% of total merchandise imports) | TM.VAL.MRCH.WR.ZS | 4.3873382421 | 2.9920102591 | 3.7217269436 | 4.6471729077 | 5.8559609343 | 6.365927793 | 7.4174418725 | 5.8135876148 | 6.6188764379 | 6.3908402539 | 6.4675710404 | 8.0130977525 | 12.8123478945 | 9.0403595633 | 8.497524676 | 10.7977198672 | 14.6336909537 | 14.1483013539 | 13.3881102979 | 16.493284029 | 20.1681656354 | 20.0407613216 | 21.2888711484 | 23.1818055808 | 27.762471229 | 24.8044807163 | 26.3978335495 | 28.3648793076 | |||||||||||||||||||||||||
Import value index (2000 = 100) | TM.VAL.MRCH.XD.WD | 32.325824258 | 39.600179024 | 50.30284947 | 48.790093988 | 41.420259585 | 30.610174549 | 31.979710577 | 36.908846785 | 39.528569297 | 48.813963897 | 65.155900343 | 77.186334477 | 81.396389676 | 84.523347755 | 95.428912427 | 121.22631657 | 128.08891541 | 124.36222587 | 81.566462778 | 71.618678204 | 100 | 89.219808104 | 87.590800296 | 96.500082414 | 127.70450815 | 175.57765123 | 187.25023389 | 216.1345365 | 296.08151307 | 217.72547144 | 314.15451546 | 409.41096173 | |||||||||||||||||||||
Computer, communications and other services (% of commercial service imports) | TM.VAL.OTHR.ZS.WT | 42.4979389942 | 37.8989642782 | 32.5449385052 | 38.4840360712 | 53.9520958084 | 48.1965625756 | 50.8116883117 | 46.1176997091 | 43.6779436779 | 34.4693116311 | 30.5520702635 | 36.1491628615 | 42.5013027619 | 44.6120689655 | 43.4315948602 | 44.9888339988 | 48.6863204638 | 48.0659979193 | 51.4074456914 | 51.0066159416 | 51.4671963278 | 47.8091094398 | 52.2118464284 | 51.8590529718 | 45.4472598754 | 38.8880060385 | 35.8588132671 | 26.8657118724 | 40.0867402097 | 34.8794012996 | 32.9259251116 | ||||||||||||||||||||||
Commercial service imports (current US$) | TM.VAL.SERV.CD.WT | 4852000000 | 4731000000 | 4228000000 | 4103000000 | 5010000000 | 4131000000 | 4312000000 | 4469000000 | 5291000000 | 5898000000 | 6376000000 | 7884000000 | 9595000000 | 11136000000 | 13230000000 | 14777000000 | 16214000000 | 11871111673.1649 | 12139043498.0652 | 15381083130.4348 | 15595642608.6957 | 16769971851.4911 | 17170679822.0352 | 20620199149.8136 | 21836469409.1778 | 21175099001.9701 | 24074500000 | 27994103972.1282 | 22635618279.8713 | 25599484282.8095 | 31819643262.9525 | ||||||||||||||||||||||
Transport services (% of commercial service imports) | TM.VAL.TRAN.ZS.WT | 41.2963726298 | 45.8845909956 | 50.2696310312 | 44.971971728 | 31.4730538922 | 34.8825950133 | 34.1975881262 | 37.2745580667 | 39.3271593272 | 47.3838589352 | 49.9827478043 | 45.3373921867 | 38.2167795727 | 35.1364942529 | 36.7422524565 | 35.4875820532 | 33.3045516221 | 31.4211676206 | 26.9703636406 | 26.1109818036 | 24.8593305521 | 30.7091640911 | 28.0919342397 | 26.5444679218 | 34.1206665026 | 38.6342302327 | 39.464371015 | 49.6341113579 | 28.8142459712 | 33.8785849315 | 38.149899923 | ||||||||||||||||||||||
Travel services (% of commercial service imports) | TM.VAL.TRVL.ZS.WT | 12.2835943941 | 11.8790953287 | 12.3462630085 | 12.5274189617 | 11.7964071856 | 13.7981118373 | 11.8506493506 | 13.2468113672 | 13.6458136458 | 14.1742963717 | 15.1976160602 | 14.7894469812 | 16.0396039604 | 17.0617816092 | 16.4172335601 | 16.2346890438 | 14.8698655483 | 17.7023830114 | 19.3820872326 | 20.7826716291 | 21.8375099087 | 19.613804431 | 17.9514427528 | 17.0075321562 | 16.4141163984 | 19.03393857 | 20.3696857671 | 19.8408464739 | 23.4857320908 | 24.9791509094 | 22.8749153687 | ||||||||||||||||||||||
Net barter terms of trade index (2000 = 100) | TT.PRI.MRCH.XD.WD | 182.55813953 | 182.14285714 | 172.15189873 | 173.07692308 | 156.75675676 | 108.45070423 | 96.202531646 | 81.818181818 | 81.720430107 | 94.897959184 | 91.262135922 | 88.571428571 | 88.349514563 | 84.905660377 | 90.350877193 | 97.321428571 | 99.047619048 | 81.818181818 | 66.326530612 | 100 | 100.8419693 | 100.59136645 | 102.84417692 | 104.85491794 | 106.85401025 | 113.02530568 | 116.38665333 | 123.70053624 | 119.79848963 | 127.06696959 | 134.10054736 | ||||||||||||||||||||||
Export volume index (2000 = 100) | TX.QTY.MRCH.XD.WD | 24.555368408 | 25.801079165 | 23.490863519 | 25.028216811 | 26.098340952 | 25.792408509 | 30.949830544 | 36.29413499 | 42.967380651 | 46.934992494 | 44.439390383 | 49.90362446 | 58.791539363 | 65.135591985 | 71.636297298 | 70.979244142 | 73.564029089 | 82.719177031 | 97.071885699 | 120.51826867 | 100 | 91.218670477 | 94.897376301 | 93.549496046 | 91.722598482 | 94.78319377 | 98.835026018 | 101.71613704 | 95.477441611 | 94.652548748 | 109.06222942 | 113.62240718 | |||||||||||||||||||||
Agricultural raw materials exports (% of merchandise exports) | TX.VAL.AGRI.ZS.UN | 45.5693749704 | 28.5154957653 | 27.7727548809 | 28.8772337775 | 34.7826902094 | 31.3607910168 | 24.5824772236 | 30.8228299375 | 16.5069145565 | 12.3133394891 | 15.7362576697 | 14.560975153 | 15.1766028748 | 18.3263188267 | 14.1400452262 | 8.2171883728 | 5.7633012855 | 6.325035346 | 6.6960679903 | 5.9769515694 | 7.7234643703 | 9.3730428719 | 10.506323697 | 9.2745181741 | 5.0168884882 | 5.1967536731 | 4.6496423996 | 4.1751984568 | 4.8774926851 | 6.6373492356 | 5.83042185 | 4.6339118847 | 4.5226809986 | 3.7654376221 | 3.6137568908 | 3.6034027539 | 4.3346744168 | 4.9566323923 | 4.984031583 | 5.05220915 | 6.4141816199 | 6.2549941609 | 6.433799857 | 4.5264827883 | 6.5392722065 | 7.5204744261 | |||||||
Food exports (% of merchandise exports) | TX.VAL.FOOD.ZS.UN | 16.8253820057 | 23.5191711992 | 23.9236428538 | 16.268878309 | 19.5607290604 | 22.1276840776 | 16.9975147705 | 12.5842487198 | 8.0564015772 | 8.0580749715 | 9.1199838707 | 12.2335998098 | 10.8467900518 | 9.6033539845 | 7.6483092416 | 5.07642747 | 4.8624147786 | 6.1649268689 | 7.27386056 | 9.9639243922 | 13.5894862227 | 12.1837819993 | 13.8219286316 | 12.0325400677 | 11.1576911838 | 11.2602012395 | 10.2326488614 | 10.8328388546 | 12.7441428351 | 11.3926374257 | 11.1957232469 | 11.4172301879 | 11.4029818768 | 11.8287584024 | 8.9459332846 | 8.9462294798 | 11.5088615514 | 11.3788151724 | 12.2916857255 | 11.6842591576 | 11.6821057626 | 14.7066229664 | 17.6860597394 | 17.2996368972 | 16.3640152797 | 16.3271642181 | |||||||
Fuel exports (% of merchandise exports) | TX.VAL.FUEL.ZS.UN | 31.7117654113 | 36.0096995004 | 40.7080930817 | 47.3464153511 | 32.8264822248 | 39.8455332123 | 51.3646813111 | 50.1018984258 | 70.1740748396 | 74.871904829 | 70.2883773555 | 67.9887775981 | 68.5914524409 | 65.2046434663 | 71.8573478411 | 79.8030840602 | 82.4143103724 | 76.3563450974 | 71.6522724364 | 66.5968159257 | 54.7587810373 | 48.9829556007 | 39.503936769 | 40.2301371414 | 43.9838722617 | 38.5193004447 | 33.3384762266 | 28.3574552978 | 26.369909201 | 25.3643605238 | 25.8324536198 | 24.6413082931 | 19.0645877753 | 22.971273319 | 25.3711968097 | 25.5202734514 | 24.4193846194 | 25.7714000733 | 25.7994775222 | 27.6144743605 | 27.2436444078 | 25.386733245 | 29.1000092317 | 28.4204837869 | 29.7269104873 | 34.1410761973 | |||||||
ICT goods exports (% of total goods exports) | TX.VAL.ICTG.ZS.UN | 12.1903743102 | 10.823090948 | 11.0242727557 | 9.3145749399 | 9.1177931933 | 8.1062710209 | 6.0893134299 | 5.2808182076 | 4.7562764182 | 5.9401687703 | 5.0713129356 | ||||||||||||||||||||||||||||||||||||||||||
Insurance and financial services (% of commercial service exports) | TX.VAL.INSF.ZS.WT | 0.0378891948 | 0.0528849976 | 2.5907042608 | 3.0382535814 | 1.9366078947 | 2.5529447817 | 2.2027990125 | 1.5751713713 | 2.1859938876 | 2.157272963 | |||||||||||||||||||||||||||||||||||||||||||
Manufactures exports (% of merchandise exports) | TX.VAL.MANF.ZS.UN | 0.2705810721 | 2.0820751988 | 1.4451530259 | 1.3853007383 | 1.1520004557 | 1.4062746277 | 1.7267766225 | 1.8870772106 | 0.8247257089 | 1.1970105554 | 1.3912202459 | 1.6396637781 | 1.7733163911 | 2.8751300458 | 2.2850789207 | 3.0203440195 | 3.6261536515 | 6.5260379641 | 10.0573273072 | 13.0397173029 | 19.2907156627 | 25.0229032367 | 29.7494048407 | 31.9425037655 | 35.4530793189 | 40.794093638 | 47.5235543866 | 53.0857642237 | 51.8352050389 | 50.6138696804 | 51.4326955058 | 42.3406594119 | 44.987783819 | 54.4418508422 | 57.1215032173 | 56.4286041831 | 54.4284811559 | 52.1126561819 | 50.4801272225 | 47.1762001035 | 44.687299935 | 42.9298677601 | 38.8124438692 | 40.5809686213 | 37.4977899858 | 34.1607950234 | |||||||
Ores and metals exports (% of merchandise exports) | TX.VAL.MMTL.ZS.UN | 5.6202599101 | 8.1996793934 | 5.9615620311 | 5.5450598525 | 11.4199468936 | 4.8661716376 | 4.9533858505 | 4.3432700327 | 4.3228734942 | 3.5237333717 | 3.410890587 | 3.4550364569 | 3.4486851512 | 3.7326579194 | 3.9208664916 | 3.612627208 | 3.0680727694 | 3.5031779214 | 3.5710165689 | 4.2522939419 | 4.5575705651 | 4.436859613 | 6.4155461742 | 6.5117473833 | 4.3804811534 | 4.2168717026 | 4.2465761693 | 3.5428082636 | 4.1624644807 | 5.9817624822 | 5.7005391041 | 4.7565540943 | 4.412370896 | 4.7011518875 | 4.9298745464 | 5.4878742111 | 5.2641104704 | 5.7274911164 | 6.4345005424 | 8.4673303062 | 9.9683062866 | 10.7186528633 | 7.9633887428 | 9.1697031321 | 9.8664120668 | 7.8470105783 | |||||||
Merchandise exports to economies in the Arab World (% of total merchandise exports) | TX.VAL.MRCH.AL.ZS | 0.3949175824 | 0 | 0 | 0 | 0.0845785171 | 0 | 0.1359311282 | 0.1223054579 | 0 | 0.0117924528 | 0 | 0 | 0.321652277 | 0 | 0.0511791405 | 0.1985328283 | 0.1837030797 | 0.635239667 | 0.6450338407 | 0.4814327438 | 0.3530635332 | 0.6102401062 | 0.6229081858 | 0.9795476476 | 1.1916008343 | 1.7933243407 | 2.299013551 | 1.7706581635 | 2.8274823024 | 2.9882180289 | 2.9784773461 | 3.7014945496 | 4.0222492985 | 4.1465497787 | 3.7895881842 | 3.4467950811 | 3.3378427569 | 3.7300698611 | 4.0388630818 | 3.8628155993 | 3.3000821023 | 3.7399353986 | 3.597512422 | 3.1138808078 | 3.0955520388 | 3.08447277 | 3.2123493834 | 3.5629470747 | 4.1238919467 | 3.5402839452 | 3.027022292 | ||
Merchandise exports (current US$) | TX.VAL.MRCH.CD.WT | 841000000 | 784000000 | 682000000 | 696000000 | 724000000 | 708000000 | 679000000 | 665000000 | 731000000 | 854000000 | 1108000000 | 1234000000 | 1777000000 | 3211000000 | 7426000000 | 7102000000 | 8547000000 | 10853000000 | 11643000000 | 15591000000 | 21909000000 | 22260000000 | 22293000000 | 21152000000 | 21902000000 | 18590000000 | 16075000000 | 17135000000 | 19465000000 | 22160000000 | 25675000000 | 29142000000 | 33967000000 | 36823000000 | 40055000000 | 45417000000 | 49814000000 | 56298000000 | 50370000000 | 51243000000 | 65403000000 | 57361000000 | 59166000000 | 64108000000 | 70766610000 | 86996064000 | 103527000000 | 118013000000 | 139606000000 | 119646000000 | 158074492000 | 201472259000 | |
Merchandise exports to high-income economies (% of total merchandise exports) | TX.VAL.MRCH.HI.ZS | 87.6201923077 | 77.5064935065 | 72.6033553026 | 74.5812518366 | 76.5858471948 | 75.2342511172 | 86.905301314 | 90.7812261122 | 80.6024096386 | 87.5825471698 | 88.9592187359 | 90.562819784 | 89.8651317646 | 90.7796101949 | 96.0821021159 | 95.481618113 | 96.3891229056 | 96.3867862773 | 94.4411997114 | 96.8071380428 | 96.6094040798 | 95.4742275402 | 96.9265692237 | 96.0973428417 | 95.8236923653 | 94.779636606 | 93.8011032564 | 93.3770518512 | 91.8039130704 | 90.7596012995 | 90.9135378093 | 88.8890016656 | 88.1682705899 | 87.3970553447 | 86.9125426819 | 80.1514065872 | 83.6156101086 | 80.8803553197 | 79.1570371914 | 80.7686845644 | 80.837556544 | 80.3952034788 | 77.8407220533 | 75.7324877518 | 73.9724715236 | 72.3339454901 | 71.4682727948 | 68.5639985591 | 67.4209633291 | 63.4597654258 | 63.0994374132 | ||
Merchandise exports to developing economies outside region (% of total merchandise exports) | TX.VAL.MRCH.OR.ZS | 3.073489011 | 4.8831168831 | 6.1414020371 | 5.406993829 | 4.8914575698 | 4.9012541444 | 5.4976589639 | 2.7060082556 | 2.2489959839 | 1.8985849057 | 2.1701781355 | 0.8527572484 | 0.7392359348 | 0.3467016492 | 1.3010276233 | 1.3291843258 | 1.2906018909 | 1.8891234799 | 1.9771876181 | 1.4051417017 | 1.9920264205 | 1.8475197709 | 0.8146066161 | 1.2214926216 | 1.7940187206 | 2.4704560966 | 3.0538732133 | 2.7080654265 | 2.9580211752 | 3.2914631528 | 2.9667885893 | 3.4451198222 | 3.4536694037 | 4.061733833 | 4.8991591358 | 5.6828207616 | 5.2953374676 | 6.4376988773 | 7.7478180308 | 8.1130125852 | 7.5805416622 | 8.0972177983 | 8.8757702904 | 9.1087718584 | 9.6895892693 | 10.4477405625 | 10.5932573778 | 12.4905197362 | 13.4677194748 | 14.0740585859 | 14.252951364 | ||
Merchandise exports to developing economies in East Asia & Pacific (% of total merchandise exports) | TX.VAL.MRCH.R1.ZS | 9.3063186813 | 14.9480519481 | 17.1060515279 | 13.7672641787 | 12.1652100367 | 9.2114747009 | 5.3919347531 | 4.7240483107 | 7.6974564926 | 7.5943396226 | 5.6153359255 | 4.718590108 | 2.2064217595 | 1.1556721639 | 1.4101200016 | 1.4826600583 | 1.3420855565 | 1.4004775822 | 2.0467585117 | 1.7248130436 | 1.2703901033 | 2.2427268871 | 1.7739924661 | 1.7910518016 | 1.7844347997 | 2.4914149367 | 3.0525228382 | 3.667002217 | 4.9166202299 | 5.5004399528 | 5.917134938 | 7.3517111586 | 7.8469072461 | 7.7908519962 | 7.9390602769 | 9.8499573311 | 10.393858627 | 10.9999241692 | 11.1936464628 | 11.0707232672 | 11.479731834 | 11.3296265451 | 13.1479359268 | 15.0730352022 | 16.3018019122 | 17.2083675911 | 17.8298355862 | 18.8842041246 | 19.0642354443 | 22.4118108761 | 22.5932794681 | ||
Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports) | TX.VAL.MRCH.R2.ZS | 0.4907271979 | 0.6713653209 | 0.3597448422 | 0.575936985 | 0.6864264532 | 0.4958191127 | 0.5775817807 | 0.6509615196 | 0.8115176126 | 0.9822586974 | 0.9584423708 | 1.2853468378 | 1.3058859769 | 1.6687955399 | 1.4318253164 | 1.3074172501 | 1.5310578856 | ||||||||||||||||||||||||||||||||||||
Merchandise exports to developing economies in Latin America & the Caribbean (% of total merchandise exports) | TX.VAL.MRCH.R3.ZS | 0.5151098901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096971003 | 0.0098562397 | 0.0128709164 | 0.0184394678 | 0.0687119937 | 0.0661167635 | 0.7011093676 | 0.7269962999 | 0.0737301655 | 0.1299159783 | 0.0862552883 | 0.0752368618 | 0.2673742632 | 0.1803825273 | 0.1620126721 | 0.1880358387 | 0.340596195 | 0.5470832084 | 0.7871612014 | 1.1522475602 | 1.3134198469 | 1.582173836 | 1.4589215886 | 1.6679319382 | 1.7930266232 | 1.6208141328 | 1.651429049 | 1.6427834725 | 1.6393058828 | 1.3514208137 | 1.5104250669 | 1.4863012046 | 1.6419160932 | 1.6707907325 | 1.6809792515 | 1.7335375599 | 2.1527335025 | ||
Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports) | TX.VAL.MRCH.R4.ZS | 0.4292582418 | 0 | 0 | 0 | 0.0845785171 | 0 | 0.1359311282 | 0.1223054579 | 0 | 0.0117924528 | 0 | 0 | 0.321652277 | 0 | 0.0646473353 | 0.1957167598 | 0.1684919966 | 0.6306298 | 0.5883464459 | 0.2747376192 | 0.2700434259 | 0.2041133459 | 0.3056450496 | 0.441526042 | 0.6580959031 | 0.8109458886 | 1.205209747 | 1.0008320871 | 1.1975522671 | 1.4968327798 | 1.1870358262 | 1.3963858721 | 1.1074913812 | 1.1014595813 | 1.258515959 | 1.3513279668 | 1.0096408066 | 1.146841334 | 1.4403021942 | 1.4430212458 | 1.2414801707 | 1.3518593401 | 1.3034807129 | 1.1478745317 | 1.4404509195 | 1.4091084724 | 1.4336236704 | 1.6507950808 | 2.1516085651 | 1.7303578756 | 1.4768510872 | ||
Merchandise exports to developing economies in South Asia (% of total merchandise exports) | TX.VAL.MRCH.R5.ZS | 1.6998626374 | 0.5584415584 | 0.2246854404 | 0.9991184249 | 0.8175923315 | 0.3315554274 | 0.8760006041 | 0.259899098 | 0.0133868809 | 0.0117924528 | 0.0090424089 | 0 | 0.028215112 | 0.1686656672 | 0.4983232097 | 0.6927528477 | 0.4504820743 | 0.7781455427 | 0.5187755523 | 0.4082549668 | 0.3913805058 | 0.3107898683 | 0.1992948715 | 0.2212337311 | 0.4308200642 | 0.6765943497 | 0.8264295408 | 0.826268351 | 0.9091284337 | 0.8201171492 | 0.7830996756 | 0.770746465 | 0.8877065898 | 1.118905974 | 1.4679430573 | 1.5335230916 | 1.7850723076 | 2.1784847251 | 2.6159294959 | 3.0299186576 | 2.8149764561 | 2.8998750834 | 3.484312956 | 4.0786046531 | 4.387751975 | 4.9532255302 | 4.9713386626 | 6.1084283006 | 6.8145077547 | 7.8812890637 | 7.6156491248 | ||
Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports) | TX.VAL.MRCH.R6.ZS | 0.3262362637 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2909130089 | 0.0323847876 | 0.1837030797 | 0.1078708868 | 0.2164427801 | 0.1097666656 | 0.1706017589 | 0.0264591374 | 0.0638994767 | 0.0169455624 | 0.0424430784 | 0.2052891514 | 0.1937788221 | 0.1297590439 | 0.4029678245 | 0.2666922161 | 0.2141672263 | 0.4262431936 | 0.466072171 | 0.415980879 | 0.3685530747 | 0.5444305463 | 0.6819579227 | 0.8685038949 | 1.2121332643 | 1.5234394362 | 1.2950742057 | 1.5517383827 | 1.637153126 | 1.5486131626 | 1.392518937 | 1.3137585176 | 1.2404929707 | 1.3917100824 | 1.3887985901 | 1.4214568341 | 1.4766597633 | ||
Merchandise exports by the reporting economy, residual (% of total merchandise exports) | TX.VAL.MRCH.RS.ZS | 0 | 2.6623376623 | 4.1491911324 | 6.2444901557 | 6.3574851988 | 10.6530200375 | 2.205104969 | 1.7887173215 | 9.4511378849 | 2.9245283019 | 3.2552672032 | 3.8658328596 | 7.1892105412 | 7.718015992 | 1.2067502593 | 1.706537503 | 0.9781896471 | 0.3236126605 | 1.5348541588 | 0.0629072119 | 0.1281793964 | 0.4355258019 | 0.4848316941 | 0.8901127351 | 0.5978541145 | 0.2584923608 | 0.0925006921 | 0.2478805053 | 0.3214455245 | 0.4484955948 | 0.2025386634 | 0.3141673536 | 0.5311527602 | 0.750358826 | 0.2492379054 | 4.3158153201 | 0.6951937968 | 1.6820216339 | 1.901498315 | 0.0475795833 | 0.1021699598 | 0.1779521778 | 0.1355717296 | 0.0857051876 | 0.036137295 | 0.0099463563 | 0.1086342413 | 0.0612775801 | 0.0470817518 | 0.0543651122 | 0.0543317548 | ||
Merchandise exports by the reporting economy (current US$) | TX.VAL.MRCH.WL.CD | 582400000 | 770000000 | 667600000 | 680600000 | 709400000 | 693700000 | 662100000 | 654100000 | 747000000 | 848000000 | 1105900000 | 1231300000 | 1772100000 | 3201600000 | 7424900000 | 7102100000 | 8546400000 | 10846300000 | 11642800000 | 15578500000 | 21922400000 | 23810300000 | 22378900000 | 21244500000 | 21911700000 | 18607900000 | 14810700000 | 17185700000 | 19381200000 | 21943887550 | 25690336910 | 29200273660 | 33997603990 | 36856518830 | 40084593000 | 45479263000 | 49909630900 | 53453716640 | 48863206750 | 48671016870 | 62138751080 | 56336371500 | 57168555900 | 61075382340 | 71587618920 | 85660243030 | 100842265500 | 114111539400 | 137022025700 | 116509775200 | 157791112000 | ||
Merchandise exports to developing economies within region (% of total merchandise exports) | TX.VAL.MRCH.WR.ZS | 9.3063186813 | 14.9480519481 | 17.1060515279 | 13.7672641787 | 12.1652100367 | 9.2114747009 | 5.3919347531 | 4.7240483107 | 7.6974564926 | 7.5943396226 | 5.6153359255 | 4.718590108 | 2.2064217595 | 1.1556721639 | 1.4101200016 | 1.4826600583 | 1.3420855565 | 1.4004775822 | 2.0467585117 | 1.7248130436 | 1.2703901033 | 2.2427268871 | 1.7739924661 | 1.7910518016 | 1.7844347997 | 2.4914149367 | 3.0525228382 | 3.667002217 | 4.9166202299 | 5.5004399528 | 5.917134938 | 7.3517111586 | 7.8469072461 | 7.7908519962 | 7.9390602769 | 9.8499573311 | 10.393858627 | 10.9999241692 | 11.1936464628 | 11.0707232672 | 11.479731834 | 11.3296265451 | 13.1479359268 | 15.0730352022 | 16.3018019122 | 17.2083675911 | 17.8298355862 | 18.8842041246 | 19.0642354443 | 22.4118108761 | 22.5932794681 | ||
Export value index (2000 = 100) | TX.VAL.MRCH.XD.WD | 38.551928401 | 40.507694289 | 35.941021183 | 34.038374863 | 35.232760286 | 29.91919387 | 23.831369519 | 27.583542592 | 30.936514069 | 35.670594295 | 41.328633057 | 46.909406993 | 54.676131608 | 59.273388707 | 64.472667568 | 73.108621467 | 80.184791707 | 86.027944112 | 78.628227416 | 78.336874638 | 100 | 87.704679927 | 90.456678949 | 98.015502928 | 109.75124987 | 131.75806871 | 158.2185393 | 181.52185546 | 213.44198633 | 182.92537496 | 241.67749629 | 308.0281927 | |||||||||||||||||||||
Computer, communications and other services (% of commercial service exports) | TX.VAL.OTHR.ZS.WT | 34.0757238307 | 30.753968254 | 18.315018315 | 10.701754386 | 30.0947867299 | 18.7203791469 | 9.3896713615 | 3.0679327977 | 10.2933333333 | 10.6511254019 | 8.0085046067 | 7.4019463285 | 4.7189272821 | 2.2435897436 | 2.115312617 | 4.3020736614 | 2.1201413428 | 1.9585253456 | 2.2459837319 | 1.6993667444 | 1.5853909174 | 2.6625212717 | 4.8158400909 | 37.2063133618 | 38.3853251795 | 39.0159568836 | 34.8942760831 | 28.7088697319 | 34.7330320288 | 38.4498321154 | 40.7815348646 | ||||||||||||||||||||||
Commercial service exports (current US$) | TX.VAL.SERV.CD.WT | 449000000 | 504000000 | 546000000 | 570000000 | 844000000 | 844000000 | 1065000000 | 1369000000 | 1875000000 | 2488000000 | 2822000000 | 3391000000 | 3878000000 | 4680000000 | 5342000000 | 6462000000 | 6792000000 | 4340000000 | 4452392000 | 5060708660 | 5361453700 | 6519008950 | 5143235558.54 | 11754718769.0249 | 12571366733.0715 | 11092836674.7114 | 12073900000 | 14731317774.4984 | 12618385960.2142 | 16210683055.5829 | 19940608534.9568 | ||||||||||||||||||||||
High-technology exports (current US$) | TX.VAL.TECH.CD | 101180000 | 144306712 | 224574514 | 493821102 | 882872278 | 1375925745 | 1685982037 | 2291795910 | 2611199836 | 2256518817 | 2728364531 | 5774419213 | 4471258542 | 5158848176 | 4680910343 | 5902813446 | 6671058414 | 6034485448 | 5356419372 | 5762686044 | 6038545109 | 6673355345 | |||||||||||||||||||||||||||||||
High-technology exports (% of manufactured exports) | TX.VAL.TECH.MF.ZS | 1.45487217 | 1.5928969224 | 1.898487722 | 3.0728782454 | 4.5387316754 | 6.6515058469 | 7.3415905956 | 8.9607985787 | 11.5880768805 | 10.3691016886 | 10.3725383181 | 16.3736278945 | 14.1783336066 | 16.6700261646 | 14.7789429197 | 16.3909442411 | 16.5489201578 | 13.469933495 | 11.002179239 | 10.9027720271 | 12.8744760763 | 11.3642254212 | |||||||||||||||||||||||||||||||
Transport services (% of commercial service exports) | TX.VAL.TRAN.ZS.WT | 15.144766147 | 13.6904761905 | 9.1575091575 | 8.5964912281 | 4.9763033175 | 4.6208530806 | 3.8497652582 | 3.2140248356 | 2.88 | 2.8135048232 | 2.8703047484 | 2.6245945149 | 1.1346054667 | 16.2279267925 | 16.6393312198 | 19.3867953034 | 22.6065907504 | 18.9496494612 | 18.2745426084 | 19.00867303 | 19.3286259049 | 16.4424456223 | 17.1779938275 | ||||||||||||||||||||||||||||||
Travel services (% of commercial service exports) | TX.VAL.TRVL.ZS.WT | 50.7795100223 | 55.5555555556 | 72.5274725275 | 80.701754386 | 64.9289099526 | 76.6587677725 | 86.7605633803 | 93.7180423667 | 86.8266666667 | 86.5353697749 | 89.1211906449 | 89.9734591566 | 94.1464672512 | 97.7564102564 | 97.884687383 | 95.6979263386 | 97.8798586572 | 98.0414746544 | 97.7540162681 | 98.3006332556 | 98.4146090826 | 81.071662741 | 78.4919436917 | 40.816187074 | 35.9698304887 | 40.0977857605 | 44.2782365267 | 50.0796582256 | 44.3631706951 | 42.9217283747 | 39.8831983449 | ||||||||||||||||||||||
Battle-related deaths (number of people) | VC.BTL.DETH | 84 | 73 | 34 | 39 | 45 | 38 | 112 | 282 | 213 | 112 | 478 | 738 | 213 | ||||||||||||||||||||||||||||||||||||||||
Internally displaced persons (number, high estimate) | VC.IDP.TOTL.HE | 1259841 | 1100000 | 600000 | 500000 | 600000 | 250000 | 200000 | 120000 | 120000 | 200000 | |||||||||||||||||||||||||||||||||||||||||||
Internally displaced persons (number, low estimate) | VC.IDP.TOTL.LE | 580000 | 342000 | 150000 | 100000 | 70000 | 70000 | |||||||||||||||||||||||||||||||||||||||||||||||
Intentional homicides (per 100,000 people) | VC.IHR.PSRC.P5 | 8.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Presence of peace keepers (number of troops, police, and military observers in mandate) | VC.PKP.TOTL.UN |
Sheet2
INDICATOR_CODE | INDICATOR_NAME | SOURCE_NOTE | SOURCE_ORGANIZATION |
AG.AGR.TRAC.NO | Agricultural machinery, tractors | Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year. | Food and Agriculture Organization, electronic files and web site. |
AG.CON.FERT.PT.ZS | Fertilizer consumption (% of fertilizer production) | Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are | Food and Agriculture Organization, electronic files and web site. |
AG.CON.FERT.ZS | Fertilizer consumption (kilograms per hectare of arable land) | Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including ground rock phosphate). Traditional nutrients--animal and plant manures--are | Food and Agriculture Organization, electronic files and web site. |
AG.LND.AGRI.K2 | Agricultural land (sq. km) | Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows f | Food and Agriculture Organization, electronic files and web site. |
AG.LND.AGRI.ZS | Agricultural land (% of land area) | Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows f | Food and Agriculture Organization, electronic files and web site. |
AG.LND.ARBL.HA | Arable land (hectares) | Arable land (in hectares) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandone | Food and Agriculture Organization, electronic files and web site. |
AG.LND.ARBL.HA.PC | Arable land (hectares per person) | Arable land (hectares per person) includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land | Food and Agriculture Organization, electronic files and web site. |
AG.LND.ARBL.ZS | Arable land (% of land area) | Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result | Food and Agriculture Organization, electronic files and web site. |
AG.LND.CREL.HA | Land under cereal production (hectares) | Land under cereal production refers to harvested area, although some countries report only sown or cultivated area. Cereals include wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to c | Food and Agriculture Organization, electronic files and web site. |
AG.LND.CROP.ZS | Permanent cropland (% of land area) | Permanent cropland is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, | Food and Agriculture Organization, electronic files and web site. |
AG.LND.EL5M.ZS | Land area where elevation is below 5 meters (% of total land area) | Land area below 5m is the percentage of total land where the elevation is 5 meters or less. | Center for International Earth Science Information Network (CIESIN), Place II dataset. |
AG.LND.FRST.K2 | Forest area (sq. km) | Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urb | Food and Agriculture Organization, electronic files and web site. |
AG.LND.FRST.ZS | Forest area (% of land area) | Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urb | Food and Agriculture Organization, electronic files and web site. |
AG.LND.IRIG.AG.ZS | Agricultural irrigated land (% of total agricultural land) | Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding. | Food and Agriculture Organization, electronic files and web site. |
AG.LND.PRCP.MM | Average precipitation in depth (mm per year) | Average precipitation is the long-term average in depth (over space and time) of annual precipitation in the country. Precipitation is defined as any kind of water that falls from clouds as a liquid or a solid. | Food and Agriculture Organization, electronic files and web site. |
AG.LND.TOTL.K2 | Land area (sq. km) | Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes. | Food and Agriculture Organization, electronic files and web site. |
AG.LND.TRAC.ZS | Agricultural machinery, tractors per 100 sq. km of arable land | Agricultural machinery refers to the number of wheel and crawler tractors (excluding garden tractors) in use in agriculture at the end of the calendar year specified or during the first quarter of the following year. Arable land includes land defined by t | Food and Agriculture Organization, electronic files and web site. |
AG.PRD.CREL.MT | Cereal production (metric tons) | Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. | Food and Agriculture Organization, electronic files and web site. |
AG.PRD.CROP.XD | Crop production index (2004-2006 = 100) | Crop production index shows agricultural production for each year relative to the base period 2004-2006. It includes all crops except fodder crops. Regional and income group aggregates for the FAO's production indexes are calculated from the underlying va | Food and Agriculture Organization, electronic files and web site. |
AG.PRD.FOOD.XD | Food production index (2004-2006 = 100) | Food production index covers food crops that are considered edible and that contain nutrients. Coffee and tea are excluded because, although edible, they have no nutritive value. | Food and Agriculture Organization, electronic files and web site. |
AG.PRD.LVSK.XD | Livestock production index (2004-2006 = 100) | Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins. | Food and Agriculture Organization, electronic files and web site. |
AG.SRF.TOTL.K2 | Surface area (sq. km) | Surface area is a country's total area, including areas under inland bodies of water and some coastal waterways. | Food and Agriculture Organization, electronic files and web site. |
AG.YLD.CREL.KG | Cereal yield (kg per hectare) | Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harveste | Food and Agriculture Organization, electronic files and web site. |
BG.GSR.NFSV.GD.ZS | Trade in services (% of GDP) | Trade in services is the sum of service exports and imports divided by the value of GDP, all in current U.S. dollars. | International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
BM.GSR.CMCP.ZS | Communications, computer, etc. (% of service imports, BoP) | Communications, computer, information, and other services (% of service imports, BoP) cover international telecommunications and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.FCTY.CD | Income payments (BoP, current US$) | Income payments refer to employee compensation paid to nonresident workers and investment income (payments on direct investment, portfolio investment, other investments). Income derived from the use of intangible assets is excluded from income and recorde | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.GNFS.CD | Imports of goods and services (BoP, current US$) | Imports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from nonresidents to residents of general merchandise, goods sent for processing and repairs, nonmonetary gold | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.INSF.ZS | Insurance and financial services (% of service imports, BoP) | Insurance and financial services (% of service imports, BoP) cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterpris | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.MRCH.CD | Goods imports (BoP, current US$) | Goods imports refer to all movable goods (including nonmonetary gold) involved in a change of ownership from nonresidents to residents. The category includes goods previously included in services: goods received or sent for processing and their subsequent | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.NFSV.CD | Service imports (BoP, current US$) | Services (previously nonfactor services) refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.ROYL.CD | Royalty and license fees, payments (BoP, current US$) | Royalty and license fees are payments and receipts between residents and nonresidents for the authorized use of intangible, nonproduced, nonfinancial assets and proprietary rights (such as patents, copyrights, trademarks, industrial processes, and franchi | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.TOTL.CD | Imports of goods, services and income (BoP, current US$) | Imports of goods, services and income is the sum of goods (merchandise) imports, imports of (nonfactor) services and income (factor) payments. Data are in current U.S. dollars. | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.TRAN.ZS | Transport services (% of service imports, BoP) | Transport (% of service imports, BoP) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, the movement of goods (freigh | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.GSR.TRVL.ZS | Travel services (% of service imports, BoP) | Travel (% of service imports, BoP) covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Services imports refer to economic output of | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.KLT.DINV.GD.ZS | Foreign direct investment, net outflows (% of GDP) | Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme | International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates. |
BM.TRF.PRVT.CD | Private current transfers, payments (BoP, current US$) | Current transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.TRF.PWKR.CD | Workers' remittances, payments (BoP, current US$) | Workers' remittances are current transfers by migrants who are employed or intend to remain employed for more than a year in another economy in which they are considered residents. Some developing countries classify workers' remittances as a factor income | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BM.TRF.PWKR.CD.DT | Personal transfers and compensation of employees, paid (current US$) | Workers' remittances and compensation of employees comprise current transfers by migrant workers and wages and salaries earned by nonresident workers. Remittances are classified as current private transfers from migrant workers resident in the host countr | World Bank staff estimates based on IMF balance of payments data. |
BN.CAB.XOKA.CD | Current account balance (BoP, current US$) | Current account balance is the sum of net exports of goods, services, net income, and net current transfers. Data are in current U.S. dollars. | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.CAB.XOKA.GD.ZS | Current account balance (% of GDP) | Current account balance is the sum of net exports of goods, services, net income, and net current transfers. | International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
BN.GSR.FCTY.CD | Net income (BoP, current US$) | Net income refers to receipts and payments of employee compensation paid to nonresident workers and investment income (receipts and payments on direct investment, portfolio investment, other investments, and receipts on reserve assets). Income derived fro | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.GSR.GNFS.CD | Net trade in goods and services (BoP, current US$) | Net trade in goods and services is derived by offsetting imports of goods and services against exports of goods and services. Exports and imports of goods and services comprise all transactions involving a change of ownership of goods and services between | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.GSR.MRCH.CD | Net trade in goods (BoP, current US$) | Net trade in goods is the difference between exports and imports of goods. The category includes goods previously included in services: goods received or sent for processing and their subsequent export or import in the form of processed goods, repairs on | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.KAC.EOMS.CD | Net errors and omissions, adjusted (BoP, current US$) | Net errors and omissions constitute a residual category needed to ensure that all debit and credit entries in the balance of payments statement sum to zero. In the International Financial Statistics presentation, this is equal to the difference between re | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.KLT.DINV.CD | Foreign direct investment, net (BoP, current US$) | Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.KLT.PRVT.CD | Private capital flows, total (BoP, current US$) | Private capital flows consist of net foreign direct investment and portfolio investment. Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.KLT.PRVT.GD.ZS | Private capital flows, total (% of GDP) | Private capital flows consist of net foreign direct investment and portfolio investment. Foreign direct investment is net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an | International Monetary Fund, Balance of Payments Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
BN.KLT.PTXL.CD | Portfolio investment, excluding LCFAR (BoP, current US$) | Portfolio investment excluding liabilities constituting foreign authorities' reserves covers transactions in equity securities and debt securities. Data are in current U.S. dollars. | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.RES.INCL.CD | Changes in net reserves (BoP, current US$) | Changes in net reserves is the net change in a country's holdings of international reserves resulting from transactions on the current, capital, and financial accounts. These include changes in holdings of monetary gold, SDRs, foreign exchange assets, res | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.TRF.CURR.CD | Net current transfers (BoP, current US$) | Net current transfers are recorded in the balance of payments whenever an economy provides or receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dol | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BN.TRF.KOGT.CD | Net capital account (BoP, current US$) | Net capital account includes government debt forgiveness, investment grants in cash or in kind by a government entity, and taxes on capital transfers. Also included are migrants' capital transfers and debt forgiveness and investment grants by nongovernmen | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GRT.EXTA.CD.WD | Grants, excluding technical cooperation (BoP, current US$) | Grants are defined as legally binding commitments that obligate a specific value of funds available for disbursement for which there is no repayment requirement. Data are in current U.S. dollars. | World Bank, International Debt Statistics, and OECD. |
BX.GRT.TECH.CD.WD | Technical cooperation grants (BoP, current US$) | Technical cooperation grants include free-standing technical cooperation grants, which are intended to finance the transfer of technical and managerial skills or of technology for the purpose of building up general national capacity without reference to a | World Bank, International Debt Statistics, and OECD. |
BX.GSR.CCIS.CD | ICT service exports (BoP, current US$) | Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.CCIS.ZS | ICT service exports (% of service exports, BoP) | Information and communication technology service exports include computer and communications services (telecommunications and postal and courier services) and information services (computer data and news-related service transactions). | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.CMCP.ZS | Communications, computer, etc. (% of service exports, BoP) | Communications, computer, information, and other services (% of service exports, BoP) cover international telecommunications and postal and courier services; computer data; news-related service transactions between residents and nonresidents; construction | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.FCTY.CD | Income receipts (BoP, current US$) | Income receipts refer to employee compensation paid to resident workers working abroad and investment income (receipts on direct investment, portfolio investment, other investments, and receipts on reserve assets). Income derived from the use of intangibl | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.GNFS.CD | Exports of goods and services (BoP, current US$) | Exports of goods and services comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, goods sent for processing and repairs, nonmonetary gold | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.INSF.ZS | Insurance and financial services (% of service exports, BoP) | Insurance and financial services (% of service exports, BoP) cover various types of insurance provided to nonresidents by resident insurance enterprises and vice versa, and financial intermediary and auxiliary services (except those of insurance enterpris | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.MRCH.CD | Goods exports (BoP, current US$) | Goods exports refer to all movable goods (including nonmonetary gold) involved in a change of ownership from residents to nonresidents. The category includes goods previously included in services: goods received or sent for processing and their subsequent | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.NFSV.CD | Service exports (BoP, current US$) | Services (previously nonfactor services) refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.ROYL.CD | Royalty and license fees, receipts (BoP, current US$) | Royalty and license fees are payments and receipts between residents and nonresidents for the authorized use of intangible, nonproduced, nonfinancial assets and proprietary rights (such as patents, copyrights, trademarks, industrial processes, and franchi | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.TOTL.CD | Exports of goods, services and income (BoP, current US$) | Exports of goods, services and income is the sum of goods (merchandise) exports, exports of (nonfactor) services and income (factor) receipts. Data are in current U.S. dollars. | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.TRAN.ZS | Transport services (% of service exports, BoP) | Transport (% of service exports, BoP) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of goods (freight), | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.GSR.TRVL.ZS | Travel services (% of service exports, BoP) | Travel (% of service exports, BoP) covers goods and services acquired from an economy by travelers for their own use during visits of less than one year in that economy for either business or personal purposes. Service exports refer to economic output of | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.KLT.DINV.CD.WD | Foreign direct investment, net inflows (BoP, current US$) | Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme | International Monetary Fund, Balance of Payments database, supplemented by data from the United Nations Conference on Trade and Development and official national sources. |
BX.KLT.DINV.WD.GD.ZS | Foreign direct investment, net inflows (% of GDP) | Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestme | International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates. |
BX.PEF.TOTL.CD.WD | Portfolio equity, net inflows (BoP, current US$) | Portfolio equity includes net inflows from equity securities other than those recorded as direct investment and including shares, stocks, depository receipts (American or global), and direct purchases of shares in local stock markets by foreign investors. | International Monetary Fund, Balance of Payments database, and World Bank, International Debt Statistics. |
BX.TRF.CURR.CD | Current transfers, receipts (BoP, current US$) | Current transfers (receipts) are recorded in the balance of payments whenever an economy receives goods, services, income, or financial items without a quid pro quo. All transfers not considered to be capital are current. Data are in current U.S. dollars. | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.TRF.PWKR.CD | Workers' remittances, receipts (BoP, current US$) | Workers' remittances are current transfers by migrants who are employed or intend to remain employed for more than a year in another economy in which they are considered residents. Some developing countries classify workers' remittances as a factor income | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
BX.TRF.PWKR.CD.DT | Personal transfers and compensation of employees, received (current US$) | "Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensa | World Bank staff estimates based on IMF balance of payments data. |
BX.TRF.PWKR.DT.GD.ZS | Personal transfers and compensation of employees, received (% of GDP) | "Personal transfers consist of all current transfers in cash or in kind made or received by resident households to or from nonresident households. Personal transfers thus include all current transfers between resident and nonresident individuals. Compensa | World Bank staff estimates based on IMF balance of payments data, and World Bank and OECD GDP estimates. |
CM.MKT.INDX.ZG | S&P Global Equity Indices (annual % change) | S&P Global Equity Indices measure the U.S. dollar price change in the stock markets covered by the S&P/IFCI and S&P/Frontier BMI country indices. | Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data. |
CM.MKT.LCAP.CD | Market capitalization of listed companies (current US$) | Market capitalization (also known as market value) is the share price times the number of shares outstanding. Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. Listed comp | Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data. |
CM.MKT.LCAP.GD.ZS | Market capitalization of listed companies (% of GDP) | Market capitalization (also known as market value) is the share price times the number of shares outstanding. Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. Listed comp | Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data. |
CM.MKT.LDOM.NO | Listed domestic companies, total | Listed domestic companies are the domestically incorporated companies listed on the country's stock exchanges at the end of the year. This indicator does not include investment companies, mutual funds, or other collective investment vehicles. | Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data. |
CM.MKT.TRAD.CD | Stocks traded, total value (current US$) | Stocks traded refers to the total value of shares traded during the period. | Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data. |
CM.MKT.TRAD.GD.ZS | Stocks traded, total value (% of GDP) | Stocks traded refers to the total value of shares traded during the period. This indicator complements the market capitalization ratio by showing whether market size is matched by trading. | Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data. |
CM.MKT.TRNR | Stocks traded, turnover ratio (%) | Turnover ratio is the total value of shares traded during the period divided by the average market capitalization for the period. Average market capitalization is calculated as the average of the end-of-period values for the current period and the previou | Standard & Poor's, Global Stock Markets Factbook and supplemental S&P data. |
DC.DAC.AUSL.CD | Net bilateral aid flows from DAC donors, Australia (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.AUTL.CD | Net bilateral aid flows from DAC donors, Austria (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.BELL.CD | Net bilateral aid flows from DAC donors, Belgium (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.CANL.CD | Net bilateral aid flows from DAC donors, Canada (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.CECL.CD | Net bilateral aid flows from DAC donors, European Union institutions (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.CHEL.CD | Net bilateral aid flows from DAC donors, Switzerland (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.DEUL.CD | Net bilateral aid flows from DAC donors, Germany (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.DNKL.CD | Net bilateral aid flows from DAC donors, Denmark (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.ESPL.CD | Net bilateral aid flows from DAC donors, Spain (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.FINL.CD | Net bilateral aid flows from DAC donors, Finland (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.FRAL.CD | Net bilateral aid flows from DAC donors, France (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.GBRL.CD | Net bilateral aid flows from DAC donors, United Kingdom (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.GRCL.CD | Net bilateral aid flows from DAC donors, Greece (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.IRLL.CD | Net bilateral aid flows from DAC donors, Ireland (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.ITAL.CD | Net bilateral aid flows from DAC donors, Italy (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.JPNL.CD | Net bilateral aid flows from DAC donors, Japan (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.KORL.CD | Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.LUXL.CD | Net bilateral aid flows from DAC donors, Luxembourg (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.NLDL.CD | Net bilateral aid flows from DAC donors, Netherlands (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.NORL.CD | Net bilateral aid flows from DAC donors, Norway (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.NZLL.CD | Net bilateral aid flows from DAC donors, New Zealand (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.PRTL.CD | Net bilateral aid flows from DAC donors, Portugal (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.SWEL.CD | Net bilateral aid flows from DAC donors, Sweden (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.TOTL.CD | Net bilateral aid flows from DAC donors, Total (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DC.DAC.USAL.CD | Net bilateral aid flows from DAC donors, United States (current US$) | Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.DOD.DECT.CD | External debt stocks, total (DOD, current US$) | Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term debt, use of IMF credit, and short-term debt. Short-term | World Bank, International Debt Statistics. |
DT.DOD.DECT.GN.ZS | External debt stocks (% of GNI) | Total external debt stocks to gross national income. Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum of public, publicly guaranteed, and private nonguaranteed long-term deb | World Bank, International Debt Statistics. |
DT.DOD.DIMF.CD | Use of IMF credit (DOD, current US$) | Use of IMF credit denotes members' drawings on the IMF other than amounts drawn against the country's reserve tranche position. Use of IMF credit includes purchases and drawings under Stand-By, Extended, Structural Adjustment, Enhanced Structural Adjustme | World Bank, International Debt Statistics. |
DT.DOD.DLXF.CD | External debt stocks, long-term (DOD, current US$) | Long-term debt is debt that has an original or extended maturity of more than one year. It has three components: public, publicly guaranteed, and private nonguaranteed debt. Data are in current U.S. dollars. | World Bank, International Debt Statistics. |
DT.DOD.DPNG.CD | External debt stocks, private nonguaranteed (PNG) (DOD, current US$) | Private nonguaranteed external debt comprises long-term external obligations of private debtors that are not guaranteed for repayment by a public entity. Data are in current U.S. dollars. | World Bank, International Debt Statistics. |
DT.DOD.DPPG.CD | External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) | Public and publicly guaranteed debt comprises long-term external obligations of public debtors, including the national government, political subdivisions (or an agency of either), and autonomous public bodies, and external obligations of private debtors t | World Bank, International Debt Statistics. |
DT.DOD.DSTC.CD | External debt stocks, short-term (DOD, current US$) | Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. Data are in current U.S. dollars. | World Bank, International Debt Statistics. |
DT.DOD.DSTC.IR.ZS | Short-term debt (% of total reserves) | Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total reserves includes gold. | World Bank, International Debt Statistics. |
DT.DOD.DSTC.XP.ZS | Short-term debt (% of exports of goods, services and income) | Short-term external debt is defined as debt that has an original maturity of one year or less. Available data permit no distinction between public and private nonguaranteed short-term debt. | World Bank, International Debt Statistics. |
DT.DOD.DSTC.ZS | Short-term debt (% of total external debt) | Short-term debt includes all debt having an original maturity of one year or less and interest in arrears on long-term debt. Total external debt is debt owed to nonresidents repayable in foreign currency, goods, or services. Total external debt is the sum | World Bank, International Debt Statistics. |
DT.DOD.MWBG.CD | IBRD loans and IDA credits (DOD, current US$) | IBRD loans and IDA credits are public and publicly guaranteed debt extended by the World Bank Group. The International Bank for Reconstruction and Development (IBRD) lends at market rates. Credits from the International Development Association (IDA) are a | World Bank, International Debt Statistics. |
DT.DOD.PVLX.CD | Present value of external debt (current US$) | Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. Data are in current | World Bank, International Debt Statistics. |
DT.DOD.PVLX.EX.ZS | Present value of external debt (% of exports of goods, services and primary income) | Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. The exports denomina | World Bank, International Debt Statistics. |
DT.DOD.PVLX.GN.ZS | Present value of external debt (% of GNI) | Present value of debt is the sum of short-term external debt plus the discounted sum of total debt service payments due on public, publicly guaranteed, and private nonguaranteed long-term external debt over the life of existing loans. The GNI denominator | World Bank, International Debt Statistics. |
DT.NFL.BLAT.CD | Net financial flows, bilateral (NFL, current US$) | Bilateral debt includes loans from governments and their agencies (including central banks), loans from autonomous bodies, and direct loans from official export credit agencies. Net flows (or net lending or net disbursements) received by the borrower duri | World Bank, International Debt Statistics. |
DT.NFL.BOND.CD | Portfolio investment, bonds (PPG + PNG) (NFL, current US$) | Bonds are securities issued with a fixed rate of interest for a period of more than one year. They include net flows through cross-border public and publicly guaranteed and private nonguaranteed bond issues. Data are in current U.S. dollars. | World Bank, International Debt Statistics. |
DT.NFL.IAEA.CD | Net official flows from UN agencies, IAEA (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.IFAD.CD | Net official flows from UN agencies, IFAD (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.IMFC.CD | Net financial flows, IMF concessional (NFL, current US$) | Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides concessional lending through its Extended Credit Facility, Standby Cre | World Bank, International Debt Statistics. |
DT.NFL.IMFN.CD | Net financial flows, IMF nonconcessional (NFL, current US$) | Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IMF is the International Monetary Fund, which provides nonconcessional lending through the credit it provides to its members, | World Bank, International Debt Statistics. |
DT.NFL.MIBR.CD | Net financial flows, IBRD (NFL, current US$) | Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IBRD is the International Bank for Reconstruction and Development, the founding and largest member of the World Bank Group. D | World Bank, International Debt Statistics. |
DT.NFL.MIDA.CD | Net financial flows, IDA (NFL, current US$) | Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. IDA is the International Development Association, the concessional loan window of the World Bank Group. Data are in current U | World Bank, International Debt Statistics. |
DT.NFL.MLAT.CD | Net financial flows, multilateral (NFL, current US$) | Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization | World Bank, International Debt Statistics. |
DT.NFL.MOTH.CD | Net financial flows, others (NFL, current US$) | Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Others is a residual category in the World Bank's Debtor Reporting System. It includes such institutions as the Caribbean Dev | World Bank, International Debt Statistics. |
DT.NFL.PCBO.CD | Commercial banks and other lending (PPG + PNG) (NFL, current US$) | Commercial bank and other lending includes net commercial bank lending (public and publicly guaranteed and private nonguaranteed) and other private credits. Data are in current U.S. dollars. | World Bank, International Debt Statistics. |
DT.NFL.RDBC.CD | Net financial flows, RDB concessional (NFL, current US$) | Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Concessional financial flows cover disbursements made through concessional lending facilities. Regional development banks are | World Bank, International Debt Statistics. |
DT.NFL.RDBN.CD | Net financial flows, RDB nonconcessional (NFL, current US$) | Net financial flows received by the borrower during the year are disbursements of loans and credits less repayments of principal. Nonconcessional financial flows cover all disbursements except those made through concessional lending facilities. Regional d | World Bank, International Debt Statistics. |
DT.NFL.UNAI.CD | Net official flows from UN agencies, UNAIDS (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.UNCF.CD | Net official flows from UN agencies, UNICEF (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.UNCR.CD | Net official flows from UN agencies, UNHCR (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.UNDP.CD | Net official flows from UN agencies, UNDP (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.UNEC.CD | Net official flows from UN agencies, UNECE (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.UNFP.CD | Net official flows from UN agencies, UNFPA (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.UNPB.CD | Net official flows from UN agencies, UNPBF (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.UNRW.CD | Net official flows from UN agencies, UNRWA (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.UNTA.CD | Net official flows from UN agencies, UNTA (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.WFPG.CD | Net official flows from UN agencies, WFP (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.NFL.WHOL.CD | Net official flows from UN agencies, WHO (current US$) | Net official flows from UN agencies are the net disbursements of total official flows from the UN agencies. Total official flows are the sum of Official Development Assistance (ODA) or official aid and Other Official Flows (OOF) and represent the total di | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ALLD.CD | Net official development assistance and official aid received (current US$) | Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ALLD.KD | Net official development assistance and official aid received (constant 2010 US$) | Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.OATL.CD | Net official aid received (current US$) | Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certa | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.OATL.KD | Net official aid received (constant 2010 US$) | Net official aid refers to aid flows (net of repayments) from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certa | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ODAT.CD | Net official development assistance received (current US$) | Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ODAT.GI.ZS | Net ODA received (% of gross capital formation) | Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ODAT.GN.ZS | Net ODA received (% of GNI) | Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ODAT.KD | Net official development assistance received (constant 2010 US$) | Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ODAT.MP.ZS | Net ODA received (% of imports of goods and services) | Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ODAT.PC.ZS | Net ODA received per capita (current US$) | Net official development assistance (ODA) per capita consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilater | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.ODA.ODAT.XP.ZS | Net ODA received (% of central government expense) | Net official development assistance (ODA) consists of disbursements of loans made on concessional terms (net of repayments of principal) and grants by official agencies of the members of the Development Assistance Committee (DAC), by multilateral institut | Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data |
DT.TDS.DECT.CD | Debt service on external debt, total (TDS, current US$) | Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. Data are in current U.S. dol | World Bank, International Debt Statistics. |
DT.TDS.DECT.EX.ZS | Total debt service (% of exports of goods, services and income) | Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. | World Bank, International Debt Statistics. |
DT.TDS.DECT.GN.ZS | Total debt service (% of GNI) | Total debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term debt, interest paid on short-term debt, and repayments (repurchases and charges) to the IMF. | World Bank, International Debt Statistics. |
DT.TDS.DPPF.XP.ZS | Debt service (PPG and IMF only, % of exports, excluding workers' remittances) | Debt service is the sum of principle repayments and interest actually paid in foreign currency, goods, or services. This series differs from the standard debt to exports series. It covers only long-term public and publicly guaranteed debt and repayments ( | World Bank, International Debt Statistics. |
DT.TDS.DPPG.CD | Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) | Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. D | World Bank, International Debt Statistics. |
DT.TDS.DPPG.GN.ZS | Public and publicly guaranteed debt service (% of GNI) | Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. | World Bank, International Debt Statistics. |
DT.TDS.DPPG.XP.ZS | Public and publicly guaranteed debt service (% of exports, excluding workers' remittances) | Public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid in foreign currency, goods, or services on long-term obligations of public debtors and long-term private obligations guaranteed by a public entity. E | World Bank. |
DT.TDS.MLAT.CD | Multilateral debt service (TDS, current US$) | Public and publicly guaranteed multilateral loans include loans and credits from the World Bank, regional development banks, and other multilateral and intergovernmental agencies. Excluded are loans from funds administered by an international organization | World Bank, International Debt Statistics. |
DT.TDS.MLAT.PG.ZS | Multilateral debt service (% of public and publicly guaranteed debt service) | Multilateral debt service is the repayment of principal and interest to the World Bank, regional development banks, and other multilateral agencies. public and publicly guaranteed debt service is the sum of principal repayments and interest actually paid | World Bank, International Debt Statistics. |
EA.PRD.AGRI.KD | Agriculture value added per worker (constant 2000 US$) | Agriculture value added per worker is a measure of agricultural productivity. Value added in agriculture measures the output of the agricultural sector (ISIC divisions 1-5) less the value of intermediate inputs. Agriculture comprises value added from fore | Derived from World Bank national accounts files and Food and Agriculture Organization, Production Yearbook and data files. |
EE.BOD.CGLS.ZS | Water pollution, clay and glass industry (% of total BOD emissions) | Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: stone, ceramics, and glass (36). Emissi | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.CHEM.ZS | Water pollution, chemical industry (% of total BOD emissions) | Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: chemicals (35). Emissions of organic wa | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.FOOD.ZS | Water pollution, food industry (% of total BOD emissions) | Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: food and beverages (31). Emissions of o | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.MTAL.ZS | Water pollution, metal industry (% of total BOD emissions) | Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: primary metals (ISIC division 37). Emis | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.OTHR.ZS | Water pollution, other industry (% of total BOD emissions) | Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: other (38 and 39). Emissions of organic | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.PAPR.ZS | Water pollution, paper and pulp industry (% of total BOD emissions) | Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: paper and pulp (34). Emissions of organ | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.TOTL.KG | Organic water pollutant (BOD) emissions (kg per day) | Emissions of organic water pollutants are measured by biochemical oxygen demand, which refers to the amount of oxygen that bacteria in water will consume in breaking down waste. This is a standard water-treatment test for the presence of organic pollutant | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.TXTL.ZS | Water pollution, textile industry (% of total BOD emissions) | Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: textiles (32). Emissions of organic wat | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.WOOD.ZS | Water pollution, wood industry (% of total BOD emissions) | Industry shares of emissions of organic water pollutants refer to emissions from manufacturing activities as defined by two-digit divisions of the International Standard Industrial Classification (ISIC), revision 2: wood (33). Emissions of organic water p | 1998 study by Hemamala Hettige, Muthukumara Mani, and David Wheeler, "Industrial Pollution in Economic Development: Kuznets Revisited" (available at www.worldbank.org/nipr). The data were updated by the World Bank's Development Research Group using the sa |
EE.BOD.WRKR.KG | Organic water pollutant (BOD) emissions (kg per day per worker) | Emissions per worker are total emissions of organic water pollutants divided by the number of industrial workers. Organic water pollutants are measured by biochemical oxygen demand, which refers to the amount of oxygen that bacteria in water will consume | World Bank and UNIDO's industry database. |
EG.EGY.PROD.KT.OE | Energy production (kt of oil equivalent) | Energy production refers to forms of primary energy--petroleum (crude oil, natural gas liquids, and oil from nonconventional sources), natural gas, solid fuels (coal, lignite, and other derived fuels), and combustible renewables and waste--and primary ele | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EG.ELC.ACCS.ZS | Access to electricity (% of population) | Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources. | International Energy Agency, World Energy Outlook 2010. |
EG.ELC.COAL.KH | Electricity production from coal sources (kWh) | Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, a | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.COAL.ZS | Electricity production from coal sources (% of total) | Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, a | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.FOSL.ZS | Electricity production from oil, gas and coal sources (% of total) | Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. Gas refers to natural gas but excludes natural gas liquids. Coal refers to all coal and brown coal, both primary (including hard coal | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.HYRO.KH | Electricity production from hydroelectric sources (kWh) | Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.HYRO.ZS | Electricity production from hydroelectric sources (% of total) | Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.LOSS.KH | Electric power transmission and distribution losses (kWh) | Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries, and United Nations, Energy Statistics Yearbook. |
EG.ELC.LOSS.ZS | Electric power transmission and distribution losses (% of output) | Electric power transmission and distribution losses include losses in transmission between sources of supply and points of distribution and in the distribution to consumers, including pilferage. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries, and United Nations, Energy Statistics Yearbook. |
EG.ELC.NGAS.KH | Electricity production from natural gas sources (kWh) | Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.NGAS.ZS | Electricity production from natural gas sources (% of total) | Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.NUCL.KH | Electricity production from nuclear sources (kWh) | Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.NUCL.ZS | Electricity production from nuclear sources (% of total) | Sources of electricity refer to the inputs used to generate electricity. Nuclear power refers to electricity produced by nuclear power plants. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.PETR.KH | Electricity production from oil sources (kWh) | Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.PETR.ZS | Electricity production from oil sources (% of total) | Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.PROD.KH | Electricity production (kWh) | Electricity production is measured at the terminals of all alternator sets in a station. In addition to hydropower, coal, oil, gas, and nuclear power generation, it covers generation by geothermal, solar, wind, and tide and wave energy, as well as that fr | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries. |
EG.ELC.RNEW.KH | Electricity production from renewable sources (kWh) | Electricity production from renewable sources includes hydropower, geothermal, solar, tides, wind, biomass, and biofuels. | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries |
EG.ELC.RNWX.KH | Electricity production from renewable sources, excluding hydroelectric (kWh) | Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels. | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries |
EG.ELC.RNWX.ZS | Electricity production from renewable sources, excluding hydroelectric (% of total) | Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels. | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries, Energy Statistics of OECD Countries, and Energy Balances of OECD Countries |
EG.GDP.PUSE.KO.PP | GDP per unit of energy use (PPP $ per kg of oil equivalent) | GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to current international dollars using purchasing power parity rates. An international dollar has the same purchasing power | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data. |
EG.GDP.PUSE.KO.PP.KD | GDP per unit of energy use (constant 2005 PPP $ per kg of oil equivalent) | GDP per unit of energy use is the PPP GDP per kilogram of oil equivalent of energy use. PPP GDP is gross domestic product converted to 2005 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data. |
EG.IMP.CONS.ZS | Energy imports, net (% of energy use) | Net energy imports are estimated as energy use less production, both measured in oil equivalents. A negative value indicates that the country is a net exporter. Energy use refers to use of primary energy before transformation to other end-use fuels, which | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp) and United Nations, Energy Statistics Yearbook. |
EG.USE.COMM.CL.ZS | Alternative and nuclear energy (% of total energy use) | Clean energy is noncarbohydrate energy that does not produce carbon dioxide when generated. It includes hydropower and nuclear, geothermal, and solar power, among others. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EG.USE.COMM.FO.ZS | Fossil fuel energy consumption (% of total) | Fossil fuel comprises coal, oil, petroleum, and natural gas products. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EG.USE.COMM.GD.PP.KD | Energy use (kg of oil equivalent) per $1,000 GDP (constant 2005 PPP) | Energy use per PPP GDP is the kilogram of oil equivalent of energy use per constant PPP GDP. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, m | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), and World Bank PPP data. |
EG.USE.COMM.KT.OE | Energy use (kt of oil equivalent) | Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EG.USE.CRNW.KT.OE | Combustible renewables and waste (metric tons of oil equivalent) | Combustible renewables and waste comprise solid biomass, liquid biomass, biogas, industrial waste, and municipal waste. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EG.USE.CRNW.ZS | Combustible renewables and waste (% of total energy) | Combustible renewables and waste comprise solid biomass, liquid biomass, biogas, industrial waste, and municipal waste, measured as a percentage of total energy use. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EG.USE.ELEC.KH | Electric power consumption (kWh) | Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries. |
EG.USE.ELEC.KH.PC | Electric power consumption (kWh per capita) | Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), Energy Statistics and Balances of Non-OECD Countries and Energy Statistics of OECD Countries. |
EG.USE.PCAP.KG.OE | Energy use (kg of oil equivalent per capita) | Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.CO2E.EG.ZS | CO2 intensity (kg per kg of oil equivalent energy use) | Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.GF.KT | CO2 emissions from gaseous fuel consumption (kt) | Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.GF.ZS | CO2 emissions from gaseous fuel consumption (% of total) | Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.KD.GD | CO2 emissions (kg per 2000 US$ of GDP) | Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.KT | CO2 emissions (kt) | Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.LF.KT | CO2 emissions from liquid fuel consumption (kt) | Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.LF.ZS | CO2 emissions from liquid fuel consumption (% of total) | Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.PC | CO2 emissions (metric tons per capita) | Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.PP.GD | CO2 emissions (kg per PPP $ of GDP) | Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.PP.GD.KD | CO2 emissions (kg per 2005 PPP $ of GDP) | Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.SF.KT | CO2 emissions from solid fuel consumption (kt) | Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.CO2E.SF.ZS | CO2 emissions from solid fuel consumption (% of total) | Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source. | Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. |
EN.ATM.GHGO.KT.CE | Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) | Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.HFCG.KT.CE | HFC gas emissions (thousand metric tons of CO2 equivalent) | Hydrofluorocarbons, used as a replacement for chlorofluorocarbons, are used mainly in refrigeration and semiconductor manufacturing. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.METH.AG.KT.CE | Agricultural methane emissions (thousand metric tons of CO2 equivalent) | Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savannah burning. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.METH.AG.ZS | Agricultural methane emissions (% of total) | Agricultural methane emissions are emissions from animals, animal waste, rice production, agricultural waste burning (nonenergy, on-site), and savannah burning. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.METH.EG.KT.CE | Methane emissions in energy sector (thousand metric tons of CO2 equivalent) | Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.METH.EG.ZS | Energy related methane emissions (% of total) | Methane emissions from energy processes are emissions from the production, handling, transmission, and combustion of fossil fuels and biofuels. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.METH.KT.CE | Methane emissions (kt of CO2 equivalent) | Methane emissions are those stemming from human activities such as agriculture and from industrial methane production. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.NOXE.AG.KT.CE | Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) | Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savannah burning. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.NOXE.AG.ZS | Agricultural nitrous oxide emissions (% of total) | Agricultural nitrous oxide emissions are emissions produced through fertilizer use (synthetic and animal manure), animal waste management, agricultural waste burning (nonenergy, on-site), and savannah burning. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.NOXE.EG.KT.CE | Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) | Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.NOXE.EI.ZS | Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions) | Industrial nitrous oxide emissions are emissions produced during the manufacturing of adipic acid and nitric acid. Nitrous oxide emissions from energy processes are emissions produced by the combustion of fossil fuels and biofuels. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.NOXE.IN.KT.CE | Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent) | Industrial nitrous oxide emissions are emissions produced during the manufacturing of adipic acid and nitric acid. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.NOXE.KT.CE | Nitrous oxide emissions (thousand metric tons of CO2 equivalent) | Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.PFCG.KT.CE | PFC gas emissions (thousand metric tons of CO2 equivalent) | Perfluorocarbons, used as a replacement for chlorofluorocarbons in manufacturing semiconductors, are a byproduct of aluminum smelting and uranium enrichment. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.ATM.PM10.MC.M3 | PM10, country level (micrograms per cubic meter) | Particulate matter concentrations refer to fine suspended particulates less than 10 microns in diameter (PM10) that are capable of penetrating deep into the respiratory tract and causing significant health damage. Data for countries and aggregates for reg | Kiran Dev Pandey, David Wheeler, Bart Ostro, Uwe Deichmann, Kirk Hamilton, and Katherine Bolt. "Ambient Particulate Matter Concentrations in Residential and Pollution Hotspot Areas of World Cities: New Estimates Based on the Global Model of Ambient Partic |
EN.ATM.SF6G.KT.CE | SF6 gas emissions (thousand metric tons of CO2 equivalent) | Sulfur hexafluoride is used largely to insulate high-voltage electric power equipment. | International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
EN.BIR.THRD.NO | Bird species, threatened | Birds are listed for countries included within their breeding or wintering ranges. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. | United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species. |
EN.CLC.DRSK.XQ | Disaster risk reduction progress score (1-5 scale; 5=best) | Disaster risk reduction progress score is an average of self-assessment scores, ranging from 1 to 5, submitted by countries under Priority 1 of the Hyogo Framework National Progress Reports. The Hyogo Framework is a global blueprint for disaster risk red | (UNISDR, 2009-2011 Progress Reports, http://www.preventionweb.net/english/hyogo). |
EN.CLC.GHGR.MT.CE | GHG net emissions/removals by LUCF (Mt of CO2 equivalent) | GHG net emissions/removals by LUCF refers to changes in atmospheric levels of all greenhouse gases attributable to forest and land-use change activities, including but not limited to (1) emissions and removals of CO2 from decreases or increases in biomass | United Nations Framework Convention on Climate Change. |
EN.CLC.MDAT.ZS | Droughts, floods, extreme temperatures (% of population, average 1990-2009) | Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized | EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank. |
EN.CO2.BLDG.MT | CO2 emissions from residential buildings and commercial and public services (million metric tons) | CO2 emissions from residential buildings and commercial and public services contains all emissions from fuel combustion in households. This corresponds to IPCC Source/Sink Category 1 A 4 b. Commercial and public services includes emissions from all activi | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.BLDG.ZS | CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) | CO2 emissions from residential buildings and commercial and public services contains all emissions from fuel combustion in households. This corresponds to IPCC Source/Sink Category 1 A 4 b. Commercial and public services includes emissions from all activi | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.ETOT.MT | CO2 emissions from electricity and heat production, total (million metric tons) | CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat a | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.ETOT.ZS | CO2 emissions from electricity and heat production, total (% of total fuel combustion) | CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat a | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.MANF.MT | CO2 emissions from manufacturing industries and construction (million metric tons) | CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes e | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.MANF.ZS | CO2 emissions from manufacturing industries and construction (% of total fuel combustion) | CO2 emissions from manufacturing industries and construction contains the emissions from combustion of fuels in industry. The IPCC Source/Sink Category 1 A 2 includes these emissions. However, in the 1996 IPCC Guidelines, the IPCC category also includes e | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.OTHX.MT | CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons) | CO2 emissions from other sectors, less residential buildings and commercial and public services, contains the emissions from commercial/institutional activities, residential, agriculture/forestry, fishing and other emissions not specified elsewhere that a | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.OTHX.ZS | CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) | CO2 emissions from other sectors, less residential buildings and commercial and public services, contains the emissions from commercial/institutional activities, residential, agriculture/forestry, fishing and other emissions not specified elsewhere that a | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.TRAN.MT | CO2 emissions from transport (million metric tons) | CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, roa | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.CO2.TRAN.ZS | CO2 emissions from transport (% of total fuel combustion) | CO2 emissions from transport contains emissions from the combustion of fuel for all transport activity, regardless of the sector, except for international marine bunkers and international aviation. This includes domestic aviation, domestic navigation, roa | IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp), International Energy Agency electronic files on CO2 Emissions from Fuel Combustion. |
EN.FSH.THRD.NO | Fish species, threatened | Fish species are based on Froese, R. and Pauly, D. (eds). 2008. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. | Froese, R. and Pauly, D. (eds). 2008. FishBase database, www.fishbase.org. |
EN.HPT.THRD.NO | Plant species (higher), threatened | Higher plants are native vascular plant species. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. | United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species. |
EN.MAM.THRD.NO | Mammal species, threatened | Mammal species are mammals excluding whales and porpoises. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known. | United Nations Environmental Program and the World Conservation Monitoring Centre, and International Union for Conservation of Nature, Red List of Threatened Species. |
EN.POP.DNST | Population density (people per sq. km of land area) | Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently set | Food and Agriculture Organization and World Bank population estimates. |
EN.POP.EL5M.ZS | Population living in areas where elevation is below 5 meters (% of total population) | Population below 5m is the percentage of the total population living in areas where the elevation is 5 meters or less. | Center for International Earth Science Information Network (CIESIN), Place II dataset. |
EN.URB.LCTY | Population in largest city | Population in largest city is the urban population living in the country's largest metropolitan area. | United Nations, World Urbanization Prospects. |
EN.URB.LCTY.UR.ZS | Population in the largest city (% of urban population) | Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area. | United Nations, World Urbanization Prospects. |
EN.URB.MCTY | Population in urban agglomerations of more than 1 million | Population in urban agglomerations of more than one million is the country's population living in metropolitan areas that in 2000 had a population of more than one million people. | United Nations, World Urbanization Prospects. |
EN.URB.MCTY.TL.ZS | Population in urban agglomerations of more than 1 million (% of total population) | Population in urban agglomerations of more than one million is the percentage of a country's population living in metropolitan areas that in 2000 had a population of more than one million people. | United Nations, World Urbanization Prospects. |
EP.PMP.DESL.CD | Pump price for diesel fuel (US$ per liter) | Fuel prices refer to the pump prices of the most widely sold grade of diesel fuel. Prices have been converted from the local currency to U.S. dollars. | German Agency for International Cooperation (GIZ). |
EP.PMP.SGAS.CD | Pump price for gasoline (US$ per liter) | Fuel prices refer to the pump prices of the most widely sold grade of gasoline. Prices have been converted from the local currency to U.S. dollars. | German Agency for International Cooperation (GIZ). |
ER.BDV.TOTL.XQ | GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum) | GEF benefits index for biodiversity is a composite index of relative biodiversity potential for each country based on the species represented in each country, their threat status, and the diversity of habitat types in each country. The index has been norm | Kiran Dev Pandey, Piet Buys, Ken Chomitz, and David Wheeler's, "Biodiversity Conservation Indicators: New Tools for Priority Setting at the Global Environment Facility" (2006). |
ER.GDP.FWTL.M3.KD | Water productivity, total (constant 2000 US$ GDP per cubic meter of total freshwater withdrawal) | Water productivity is calculated as GDP in constant prices divided by annual total water withdrawal. | Food and Agriculture Organization, AQUASTAT data, and World Bank and OECD GDP estimates. |
ER.H2O.FWAG.ZS | Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) | Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce | Food and Agriculture Organization, AQUASTAT data. |
ER.H2O.FWDM.ZS | Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) | Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce | Food and Agriculture Organization, AQUASTAT data. |
ER.H2O.FWIN.ZS | Annual freshwater withdrawals, industry (% of total freshwater withdrawal) | Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce | Food and Agriculture Organization, AQUASTAT data. |
ER.H2O.FWTL.K3 | Annual freshwater withdrawals, total (billion cubic meters) | Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce | Food and Agriculture Organization, AQUASTAT data. |
ER.H2O.FWTL.ZS | Annual freshwater withdrawals, total (% of internal resources) | Annual freshwater withdrawals refer to total water withdrawals, not counting evaporation losses from storage basins. Withdrawals also include water from desalination plants in countries where they are a significant source. Withdrawals can exceed 100 perce | Food and Agriculture Organization, AQUASTAT data. |
ER.H2O.INTR.K3 | Renewable internal freshwater resources, total (billion cubic meters) | Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. | Food and Agriculture Organization, AQUASTAT data. |
ER.H2O.INTR.PC | Renewable internal freshwater resources per capita (cubic meters) | Renewable internal freshwater resources flows refer to internal renewable resources (internal river flows and groundwater from rainfall) in the country. Renewable internal freshwater resources per capita are calculated using the World Bank's population es | Food and Agriculture Organization, AQUASTAT data. |
ER.LND.PTLD.ZS | Terrestrial protected areas (% of total land area) | Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife s | United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements. |
ER.MRN.PTMR.ZS | Marine protected areas (% of territorial waters) | Marine protected areas are areas of intertidal or subtidal terrain--and overlying water and associated flora and fauna and historical and cultural features--that have been reserved by law or other effective means to protect part or all of the enclosed env | United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements. |
ER.PTD.TOTL.ZS | Terrestrial and marine protected areas (% of total territorial area) | Terrestrial protected areas are totally or partially protected areas of at least 1,000 hectares that are designated by national authorities as scientific reserves with limited public access, national parks, natural monuments, nature reserves or wildlife s | United Nations Environmental Program and the World Conservation Monitoring Centre, as compiled by the World Resources Institute, based on data from national authorities, national legislation and international agreements. |
FB.AST.NPER.ZS | Bank nonperforming loans to total gross loans (%) | Bank nonperforming loans to total gross loans are the value of nonperforming loans divided by the total value of the loan portfolio (including nonperforming loans before the deduction of specific loan-loss provisions). The loan amount recorded as nonperfo | International Monetary Fund, Global Financial Stability Report. |
FB.ATM.TOTL.P5 | Automated teller machines (ATMs) (per 100,000 adults) | Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place. | International Monetary Fund, Financial Access Survey. |
FB.BNK.CAPA.ZS | Bank capital to assets ratio (%) | Bank capital to assets is the ratio of bank capital and reserves to total assets. Capital and reserves include funds contributed by owners, retained earnings, general and special reserves, provisions, and valuation adjustments. Capital includes tier 1 cap | International Monetary Fund, Global Financial Stability Report. |
FB.CBK.BRCH.P5 | Commercial bank branches (per 100,000 adults) | Commercial bank branches are retail locations of resident commercial banks and other resident banks that function as commercial banks that provide financial services to customers and are physically separated from the main office but not organized as legal | International Monetary Fund, Financial Access Survey. |
FB.CBK.BRWR.P3 | Borrowers from commercial banks (per 1,000 adults) | Borrowers from commercial banks are the reported number of resident customers that are nonfinancial corporations (public and private) and households who obtained loans from commercial banks and other banks functioning as commercial banks. For many countri | International Monetary Fund, Financial Access Survey. |
FB.CBK.DPTR.P3 | Depositors with commercial banks (per 1,000 adults) | Depositors with commercial banks are the reported number of deposit account holders at commercial banks and other resident banks functioning as commercial banks that are resident nonfinancial corporations (public and private) and households. For many cou | International Monetary Fund, Financial Access Survey. |
FB.POS.TOTL.P5 | Point-of-sale terminals (per 100,000 adults) | Point-of-sale terminals are the equipment used to manage the selling process by a salesperson-accessible interface in the location where a transaction takes place. | Consultative Group to Assist the Poor and the World Bank Group’s "Financial Access 2010." |
FD.RES.LIQU.AS.ZS | Bank liquid reserves to bank assets ratio (%) | Ratio of bank liquid reserves to bank assets is the ratio of domestic currency holdings and deposits with the monetary authorities to claims on other governments, nonfinancial public enterprises, the private sector, and other banking institutions. | International Monetary Fund, International Financial Statistics and data files. |
FI.RES.TOTL.CD | Total reserves (includes gold, current US$) | Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (Dec | International Monetary Fund, International Financial Statistics and data files. |
FI.RES.TOTL.DT.ZS | Total reserves (% of total external debt) | International reserves to total external debt stocks. | World Bank, International Debt Statistics. |
FI.RES.TOTL.MO | Total reserves in months of imports | Total reserves comprise holdings of monetary gold, special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. The gold component of these reserves is valued at year-end (Dec | International Monetary Fund, International Financial Statistics and data files. |
FI.RES.XGLD.CD | Total reserves minus gold (current US$) | Total reserves minus gold comprise special drawing rights, reserves of IMF members held by the IMF, and holdings of foreign exchange under the control of monetary authorities. Gold holdings are excluded. Data are in current U.S. dollars. | International Monetary Fund, International Financial Statistics and data files. |
FM.AST.CGOV.ZG.M3 | Claims on central government (annual growth as % of broad money) | Claims on central government (IFS line 32AN..ZK) include loans to central government institutions net of deposits. | International Monetary Fund, International Financial Statistics and data files. |
FM.AST.DOMO.ZG.M3 | Claims on other sectors of the domestic economy (annual growth as % of broad money) | Claims on other sectors of the domestic economy (IFS line 32S..ZK) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security funds. | International Monetary Fund, International Financial Statistics and data files. |
FM.AST.DOMS.CN | Net domestic credit (current LCU) | Net domestic credit is the sum of net claims on the central government and claims on other sectors of the domestic economy (IFS line 32). Data are in current local currency. | International Monetary Fund, International Financial Statistics and data files. |
FM.AST.NFRG.CN | Net foreign assets (current LCU) | Net foreign assets are the sum of foreign assets held by monetary authorities and deposit money banks, less their foreign liabilities. Data are in current local currency. | International Monetary Fund, International Financial Statistics and data files. |
FM.AST.PRVT.ZG.M3 | Claims on private sector (annual growth as % of broad money) | Claims on private sector (IFS line 32D..ZK or 32D..ZF) include gross credit from the financial system to individuals, enterprises, nonfinancial public entities not included under net domestic credit, and financial institutions not included elsewhere. | International Monetary Fund, International Financial Statistics and data files. |
FM.LBL.BMNY.CN | Broad money (current LCU) | Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s ch | International Monetary Fund, International Financial Statistics and data files. |
FM.LBL.BMNY.GD.ZS | Broad money (% of GDP) | Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s ch | International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates. |
FM.LBL.BMNY.IR.ZS | Broad money to total reserves ratio | Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s ch | International Monetary Fund, International Financial Statistics and data files. |
FM.LBL.BMNY.ZG | Broad money growth (annual %) | Broad money (IFS line 35L..ZK) is the sum of currency outside banks; demand deposits other than those of the central government; the time, savings, and foreign currency deposits of resident sectors other than the central government; bank and traveler’s ch | International Monetary Fund, International Financial Statistics and data files. |
FM.LBL.MONY.CN | Money (current LCU) | Money is the sum of currency outside banks and demand deposits other than those of central government. This series, frequently referred to as M1 is a narrower definition of money than M2. Data are in current local currency. | International Monetary Fund, International Financial Statistics and data files. |
FM.LBL.MQMY.CN | Money and quasi money (M2) (current LCU) | Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition of mo | International Monetary Fund, International Financial Statistics and data files. |
FM.LBL.MQMY.GD.ZS | Money and quasi money (M2) as % of GDP | Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition of mo | International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates. |
FM.LBL.MQMY.IR.ZS | Money and quasi money (M2) to total reserves ratio | Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors other than the central government. This definition is fr | International Monetary Fund, International Financial Statistics and data files. |
FM.LBL.MQMY.ZG | Money and quasi money growth (annual %) | Average annual growth rate in money and quasi money. Money and quasi money comprise the sum of currency outside banks, demand deposits other than those of the central government, and the time, savings, and foreign currency deposits of resident sectors oth | International Monetary Fund, International Financial Statistics and data files. |
FM.LBL.QMNY.CN | Quasi money (current LCU) | Quasi money refers to time, savings, and foreign currency deposits of resident sectors other than the central government. | International Monetary Fund, International Financial Statistics and data files. |
FP.CPI.TOTL | Consumer price index (2005 = 100) | Consumer price index reflects changes in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used. | International Monetary Fund, International Financial Statistics and data files. |
FP.CPI.TOTL.ZG | Inflation, consumer prices (annual %) | Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres form | International Monetary Fund, International Financial Statistics and data files. |
FP.WPI.TOTL | Wholesale price index (2005 = 100) | Wholesale price index refers to a mix of agricultural and industrial goods at various stages of production and distribution, including import duties. The Laspeyres formula is generally used. | International Monetary Fund, International Financial Statistics and data files. |
FR.INR.DPST | Deposit interest rate (%) | Deposit interest rate is the rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by country, however, limiting their comparability. | International Monetary Fund, International Financial Statistics and data files. |
FR.INR.LEND | Lending interest rate (%) | Lending rate is the bank rate that usually meets the short- and medium-term financing needs of the private sector. This rate is normally differentiated according to creditworthiness of borrowers and objectives of financing. The terms and conditions attach | International Monetary Fund, International Financial Statistics and data files. |
FR.INR.LNDP | Interest rate spread (lending rate minus deposit rate, %) | Interest rate spread is the interest rate charged by banks on loans to private sector customers minus the interest rate paid by commercial or similar banks for demand, time, or savings deposits. The terms and conditions attached to these rates differ by c | International Monetary Fund, International Financial Statistics and data files. |
FR.INR.RINR | Real interest rate (%) | Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. | International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator. |
FR.INR.RISK | Risk premium on lending (lending rate minus treasury bill rate, %) | Risk premium on lending is the interest rate charged by banks on loans to private sector customers minus the "risk free" treasury bill interest rate at which short-term government securities are issued or traded in the market. In some countries this sprea | International Monetary Fund, International Financial Statistics database. |
FS.AST.CGOV.GD.ZS | Claims on central government, etc. (% GDP) | Claims on central government (IFS line 52AN or 32AN) include loans to central government institutions net of deposits. | International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates. |
FS.AST.DOMO.GD.ZS | Claims on other sectors of the domestic economy (% of GDP) | Claims on other sectors of the domestic economy (IFS line 52S or 32S) include gross credit from the financial system to households, nonprofit institutions serving households, nonfinancial corporations, state and local governments, and social security fund | International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates. |
FS.AST.DOMS.GD.ZS | Domestic credit provided by banking sector (% of GDP) | Domestic credit provided by the banking sector includes all credit to various sectors on a gross basis, with the exception of credit to the central government, which is net. The banking sector includes monetary authorities and deposit money banks, as well | International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates. |
FS.AST.PRVT.GD.ZS | Domestic credit to private sector (% of GDP) | Domestic credit to private sector refers to financial resources provided to the private sector, such as through loans, purchases of nonequity securities, and trade credits and other accounts receivable, that establish a claim for repayment. For some count | International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates. |
FS.LBL.LIQU.GD.ZS | Liquid liabilities (M3) as % of GDP | Liquid liabilities are also known as M3. They are the sum of currency and deposits in the central bank (M0), plus transferable deposits and electronic currency (M1), plus time and savings deposits, foreign currency transferable deposits, certificates of d | International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates. |
FS.LBL.QLIQ.GD.ZS | Quasi-liquid liabilities (% of GDP) | Quasi-liquid liabilities are the sum of currency and deposits in the central bank (M0), plus time and savings deposits, foreign currency transferable deposits, certificates of deposit, and securities repurchase agreements, plus travelers checks, foreign c | International Monetary Fund, International Financial Statistics and data files, and World Bank and OECD GDP estimates. |
GB.XPD.RSDV.GD.ZS | Research and development expenditure (% of GDP) | Expenditures for research and development are current and capital expenditures (both public and private) on creative work undertaken systematically to increase knowledge, including knowledge of humanity, culture, and society, and the use of knowledge for | United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. |
GC.BAL.CASH.CN | Cash surplus/deficit (current LCU) | Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is close | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.BAL.CASH.GD.ZS | Cash surplus/deficit (% of GDP) | Cash surplus or deficit is revenue (including grants) minus expense, minus net acquisition of nonfinancial assets. In the 1986 GFS manual nonfinancial assets were included under revenue and expenditure in gross terms. This cash surplus or deficit is close | International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
GC.DOD.TOTL.CN | Central government debt, total (current LCU) | Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is t | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.DOD.TOTL.GD.ZS | Central government debt, total (% of GDP) | Debt is the entire stock of direct government fixed-term contractual obligations to others outstanding on a particular date. It includes domestic and foreign liabilities such as currency and money deposits, securities other than shares, and loans. It is t | International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
GC.FIN.DOMS.CN | Net incurrence of liabilities, domestic (current LCU) | Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates finan | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.FIN.DOMS.GD.ZS | Net incurrence of liabilities, domestic (% of GDP) | Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates finan | International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
GC.FIN.FRGN.CN | Net incurrence of liabilities, foreign (current LCU) | Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates finan | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.FIN.FRGN.GD.ZS | Net incurrence of liabilities, foreign (% of GDP) | Net incurrence of government liabilities includes foreign financing (obtained from nonresidents) and domestic financing (obtained from residents), or the means by which a government provides financial resources to cover a budget deficit or allocates finan | International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
GC.REV.GOTR.CN | Grants and other revenue (current LCU) | Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrep | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.REV.GOTR.ZS | Grants and other revenue (% of revenue) | Grants and other revenue include grants from other foreign governments, international organizations, and other government units; interest; dividends; rent; requited, nonrepayable receipts for public purposes (such as fines, administrative fees, and entrep | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.REV.SOCL.CN | Social contributions (current LCU) | Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes ope | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.REV.SOCL.ZS | Social contributions (% of revenue) | Social contributions include social security contributions by employees, employers, and self-employed individuals, and other contributions whose source cannot be determined. They also include actual or imputed contributions to social insurance schemes ope | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.REV.XGRT.CN | Revenue, excluding grants (current LCU) | Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.REV.XGRT.GD.ZS | Revenue, excluding grants (% of GDP) | Revenue is cash receipts from taxes, social contributions, and other revenues such as fines, fees, rent, and income from property or sales. Grants are also considered as revenue but are excluded here. | International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
GC.TAX.EXPT.CN | Taxes on exports (current LCU) | Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import dut | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.EXPT.ZS | Taxes on exports (% of tax revenue) | Taxes on exports are all levies on goods being transported out of the country or services being delivered to nonresidents by residents. Rebates on exported goods that are repayments of previously paid general consumption taxes, excise taxes, or import dut | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.GSRV.CN | Taxes on goods and services (current LCU) | Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal mono | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.GSRV.RV.ZS | Taxes on goods and services (% of revenue) | Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal mono | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.GSRV.VA.ZS | Taxes on goods and services (% value added of industry and services) | Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal mono | International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD value added estimates. |
GC.TAX.IMPT.CN | Customs and other import duties (current LCU) | Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem b | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.IMPT.ZS | Customs and other import duties (% of tax revenue) | Customs and other import duties are all levies collected on goods that are entering the country or services delivered by nonresidents to residents. They include levies imposed for revenue or protection purposes and determined on a specific or ad valorem b | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.INTT.CN | Taxes on international trade (current LCU) | Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.INTT.RV.ZS | Taxes on international trade (% of revenue) | Taxes on international trade include import duties, export duties, profits of export or import monopolies, exchange profits, and exchange taxes. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.OTHR.CN | Other taxes (current LCU) | Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.OTHR.RV.ZS | Other taxes (% of revenue) | Other taxes include employer payroll or labor taxes, taxes on property, and taxes not allocable to other categories, such as penalties for late payment or nonpayment of taxes. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.TOTL.CN | Tax revenue (current LCU) | Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax reve | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.TOTL.GD.ZS | Tax revenue (% of GDP) | Tax revenue refers to compulsory transfers to the central government for public purposes. Certain compulsory transfers such as fines, penalties, and most social security contributions are excluded. Refunds and corrections of erroneously collected tax reve | International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
GC.TAX.YPKG.CN | Taxes on income, profits and capital gains (current LCU) | Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragover | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.YPKG.RV.ZS | Taxes on income, profits and capital gains (% of revenue) | Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragover | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.TAX.YPKG.ZS | Taxes on income, profits and capital gains (% of total taxes) | Taxes on income, profits, and capital gains are levied on the actual or presumptive net income of individuals, on the profits of corporations and enterprises, and on capital gains, whether realized or not, on land, securities, and other assets. Intragover | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.COMP.CN | Compensation of employees (current LCU) | Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that pro | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.COMP.ZS | Compensation of employees (% of expense) | Compensation of employees consists of all payments in cash, as well as in kind (such as food and housing), to employees in return for services rendered, and government contributions to social insurance schemes such as social security and pensions that pro | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.GSRV.CN | Goods and services expense (current LCU) | Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.GSRV.ZS | Goods and services expense (% of expense) | Goods and services include all government payments in exchange for goods and services used for the production of market and nonmarket goods and services. Own-account capital formation is excluded. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.INTP.CN | Interest payments (current LCU) | Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.INTP.RV.ZS | Interest payments (% of revenue) | Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.INTP.ZS | Interest payments (% of expense) | Interest payments include interest payments on government debt--including long-term bonds, long-term loans, and other debt instruments--to domestic and foreign residents. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.OTHR.CN | Other expense (current LCU) | Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.OTHR.ZS | Other expense (% of expense) | Other expense is spending on dividends, rent, and other miscellaneous expenses, including provision for consumption of fixed capital. | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.TOTL.CN | Expense (current LCU) | Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and d | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.TOTL.GD.ZS | Expense (% of GDP) | Expense is cash payments for operating activities of the government in providing goods and services. It includes compensation of employees (such as wages and salaries), interest and subsidies, grants, social benefits, and other expenses such as rent and d | International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD GDP estimates. |
GC.XPN.TRFT.CN | Subsidies and other transfers (current LCU) | Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
GC.XPN.TRFT.ZS | Subsidies and other transfers (% of expense) | Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, | International Monetary Fund, Government Finance Statistics Yearbook and data files. |
IC.BUS.DISC.XQ | Business extent of disclosure index (0=less disclosure to 10=more disclosure) | Disclosure index measures the extent to which investors are protected through disclosure of ownership and financial information. The index ranges from 0 to 10, with higher values indicating more disclosure. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.BUS.EASE.XQ | Ease of doing business index (1=most business-friendly regulations) | Ease of doing business ranks economies from 1 to 185, with first place being the best. A high ranking (a low numerical rank) means that the regulatory environment is conducive to business operation. The index averages the country's percentile rankings on | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.BUS.NDNS.ZS | New business density (new registrations per 1,000 people ages 15-64) | New businesses registered are the number of new limited liability corporations registered in the calendar year. | World Bank's Entrepreneurship Survey and database (http://econ.worldbank.org/research/entrepreneurship). |
IC.BUS.NREG | New businesses registered (number) | New businesses registered are the number of new limited liability corporations registered in the calendar year. | World Bank's Entrepreneurship Survey and database (http://econ.worldbank.org/research/entrepreneurship). |
IC.CRD.INFO.XQ | Credit depth of information index (0=low to 6=high) | Credit depth of information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 6, with higher values indicating the availability of m | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.CRD.PRVT.ZS | Private credit bureau coverage (% of adults) | Private credit bureau coverage reports the number of individuals or firms listed by a private credit bureau with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult population | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.CRD.PUBL.ZS | Public credit registry coverage (% of adults) | Public credit registry coverage reports the number of individuals and firms listed in a public credit registry with current information on repayment history, unpaid debts, or credit outstanding. The number is expressed as a percentage of the adult populat | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.CUS.DURS.EX | Average time to clear exports through customs (days) | Average time to clear exports through customs is the average number of days to clear direct exports through customs. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.ELC.DURS | Delay in obtaining an electrical connection (days) | Delay in obtaining an electrical connection is the average wait, in days, experienced to obtain an electrical connection from the day an establishment applies for it to the day it receives the service. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.ELC.OUTG | Power outages in firms in a typical month (number) | Power outages are the average number of power outages that establishments experience in a typical month. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.ELC.TIME | Time required to get electricity (days) | Time required to get electricity is the number of days to obtain a permanent electricity connection. The measure captures the median duration that the electricity utility and experts indicate is necessary in practice, rather than required by law, to compl | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.EMP.FIRE.WK | Firing cost (weeks of wages) | Firing cost is the cost of advanced notice requirements, severance payments, and penalties due when terminating a redundant worker, expressed in weekly wages. One month is recorded as 4 1/3 weeks. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.EXP.COST.CD | Cost to export (US$ per container) | Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and techn | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.EXP.DOCS | Documents to export (number) | All documents required per shipment to export goods are recorded. It is assumed that the contract has already been agreed upon and signed by both parties. Documents required for clearance by government ministries, customs authorities, port and container t | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.EXP.DURS | Time to export (days) | Time is recorded in calendar days. The time calculation for a procedure starts from the moment it is initiated and runs until it is completed. If a procedure can be accelerated for an additional cost, the fastest legal procedure is chosen. It is assumed t | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.FRM.BNKS.ZS | Firms using banks to finance investment (% of firms) | Firms using banks to finance investment are the percentage of firms using banks to finance investments. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.CORR.ZS | Informal payments to public officials (% of firms) | Informal payments to public officials are the percentage of firms expected to make informal payments to public officials to "get things done" with regard to customs, taxes, licenses, regulations, services, and the like. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.CRIM.ZS | Losses due to theft, robbery, vandalism, and arson (% sales) | Losses due to theft, robbery, vandalism, and arson are the estimated losses from those causes that occurred on establishments' premises as a percentage of annual sales. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.DURS | Time required to obtain an operating license (days) | Time required to obtain operating license is the average wait to obtain an operating license from the day the establishment applied for it to the day it was granted. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.FEMO.ZS | Firms with female participation in ownership (% of firms) | Firms with female participation in ownership are the percentage of firms with a woman among the principal owners. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.FREG.ZS | Firms formally registered when operations started (% of firms) | Firms formally registered when operations started are the percentage of firms formally registered when they started operations in the country. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.INFM.ZS | Firms that do not report all sales for tax purposes (% of firms) | Firms that do not report all sales for tax purposes are the percentage of firms that expressed that a typical firm reports less than 100 percent of sales for tax purposes; such firms are termed "informal firms." | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.ISOC.ZS | ISO certification ownership (% of firms) | ISO certification ownership is the percentage of firms that have earned a quality certification recognized by the International Organization for Standardization (ISO). | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.OUTG.ZS | Value lost due to electrical outages (% of sales) | Value lost due to electrical outages is the percentage of sales lost due to power outages. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.FRM.TRNG.ZS | Firms offering formal training (% of firms) | Firms offering formal training are the percentage of firms offering formal training programs for their permanent, full-time employees. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.GOV.DURS.ZS | Management time dealing with officials (% of management time) | Time dealing with officials is the percentage of management time in a given week spent on requirements imposed by government regulations (taxes, customs, labor regulations, licensing and registration). | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.IMP.COST.CD | Cost to import (US$ per container) | Cost measures the fees levied on a 20-foot container in U.S. dollars. All the fees associated with completing the procedures to export or import the goods are included. These include costs for documents, administrative fees for customs clearance and techn | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.IMP.DOCS | Documents to import (number) | All documents required per shipment to import goods are recorded. It is assumed that the contract has already been agreed upon and signed by both parties. Documents required for clearance by government ministries, customs authorities, port and container t | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.IMP.DURS | Time to import (days) | Time is recorded in calendar days. The time calculation for a procedure starts from the moment it is initiated and runs until it is completed. If a procedure can be accelerated for an additional cost, the fastest legal procedure is chosen. It is assumed t | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.ISV.DURS | Time to resolve insolvency (years) | Time to resolve insolvency is the number of years from the filing for insolvency in court until the resolution of distressed assets. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.LGL.CRED.XQ | Strength of legal rights index (0=weak to 10=strong) | Strength of legal rights index measures the degree to which collateral and bankruptcy laws protect the rights of borrowers and lenders and thus facilitate lending. The index ranges from 0 to 10, with higher scores indicating that these laws are better des | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.LGL.DURS | Time required to enforce a contract (days) | Time required to enforce a contract is the number of calendar days from the filing of the lawsuit in court until the final determination and, in appropriate cases, payment. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.LGL.PROC | Procedures to enforce a contract (number) | Number of procedures to enforce a contract are the number of independent actions, mandated by law or courts, that demand interaction between the parties of a contract or between them and the judge or court officer. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.PRP.DURS | Time required to register property (days) | Time required to register property is the number of calendar days needed for businesses to secure rights to property. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.PRP.PROC | Procedures to register property (number) | Number of procedures to register property is the number of procedures required for a businesses to secure rights to property. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.REG.COST.PC.ZS | Cost of business start-up procedures (% of GNI per capita) | Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.REG.DURS | Time required to start a business (days) | Time required to start a business is the number of calendar days needed to complete the procedures to legally operate a business. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.REG.PROC | Start-up procedures to register a business (number) | Start-up procedures are those required to start a business, including interactions to obtain necessary permits and licenses and to complete all inscriptions, verifications, and notifications to start operations. Data are for businesses with specific chara | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.TAX.DURS | Time to prepare and pay taxes (hours) | Time to prepare and pay taxes is the time, in hours per year, it takes to prepare, file, and pay (or withhold) three major types of taxes: the corporate income tax, the value added or sales tax, and labor taxes, including payroll taxes and social security | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.TAX.GIFT.ZS | Firms expected to give gifts in meetings with tax officials (% of firms) | Firms expected to give gifts in meetings with tax officials is the percentage of firms that answered positively to the question "was a gift or informal payment expected or requested during a meeting with tax officials?" | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.TAX.LABR.CP.ZS | Labor tax and contributions (% of commercial profits) | Labor tax and contributions is the amount of taxes and mandatory contributions on labor paid by the business. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.TAX.METG | Average number of times firms spent in meetings with tax officials | Average number of times management met with tax officials is the average number of visits or required meetings with tax officials. | World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/). |
IC.TAX.OTHR.CP.ZS | Other taxes payable by businesses (% of commercial profits) | Other taxes payable by businesses include the amounts paid for property taxes, turnover taxes, and other small taxes such as municipal fees and vehicle and fuel taxes. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.TAX.PAYM | Tax payments (number) | Tax payments by businesses are the total number of taxes paid by businesses, including electronic filing. The tax is counted as paid once a year even if payments are more frequent. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.TAX.PRFT.CP.ZS | Profit tax (% of commercial profits) | Profit tax is the amount of taxes on profits paid by the business. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.TAX.TOTL.CP.ZS | Total tax rate (% of commercial profits) | Total tax rate measures the amount of taxes and mandatory contributions payable by businesses after accounting for allowable deductions and exemptions as a share of commercial profits. Taxes withheld (such as personal income tax) or collected and remitted | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.WRH.DURS | Time required to build a warehouse (days) | Time required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen. | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IC.WRH.PROC | Procedures to build a warehouse (number) | Number of procedures to build a warehouse is the number of interactions of a company's employees or managers with external parties, including government agency staff, public inspectors, notaries, land registry and cadastre staff, and technical experts apa | World Bank, Doing Business project (http://www.doingbusiness.org/). |
IE.PPI.ENGY.CD | Investment in energy with private participation (current US$) | Investment in energy projects with private participation covers infrastructure projects in energy (electricity and natural gas transmission and distribution) that have reached financial closure and directly or indirectly serve the public. Movable assets a | World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org). |
IE.PPI.TELE.CD | Investment in telecoms with private participation (current US$) | Investment in telecom projects with private participation covers infrastructure projects in telecommunications that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of pr | World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org). |
IE.PPI.TRAN.CD | Investment in transport with private participation (current US$) | Investment in transport projects with private participation covers infrastructure projects in transport that have reached financial closure and directly or indirectly serve the public. Movable assets and small projects are excluded. The types of projects | World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org). |
IE.PPI.WATR.CD | Investment in water and sanitation with private participation (current US$) | Investment in water and sanitation projects with private participation covers infrastructure projects in water and sanitation that have reached financial closure and directly or indirectly serve the public. Movable assets, incinerators, standalone solid w | World Bank, Private Participation in Infrastructure Project Database (http://ppi.worldbank.org). |
IP.JRN.ARTC.SC | Scientific and technical journal articles | Scientific and technical journal articles refer to the number of scientific and engineering articles published in the following fields: physics, biology, chemistry, mathematics, clinical medicine, biomedical research, engineering and technology, and earth | National Science Foundation, Science and Engineering Indicators. |
IP.PAT.NRES | Patent applications, nonresidents | Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a | World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. |
IP.PAT.RESD | Patent applications, residents | Patent applications are worldwide patent applications filed through the Patent Cooperation Treaty procedure or with a national patent office for exclusive rights for an invention--a product or process that provides a new way of doing something or offers a | World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. |
IP.TMK.AGGD | Trademark applications, aggregate direct | Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p | World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. |
IP.TMK.MDRD | Trademark applications, Madrid | Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p | World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. |
IP.TMK.NRES | Trademark applications, direct nonresident | Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p | World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. |
IP.TMK.RESD | Trademark applications, direct resident | Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p | World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. |
IP.TMK.TOTL | Trademark applications, total | Trademark applications filed are applications to register a trademark with a national or regional Intellectual Property (IP) office. A trademark is a distinctive sign which identifies certain goods or services as those produced or provided by a specific p | World Intellectual Property Organization (WIPO), World Intellectual Property Indicators and www.wipo.int/econ_stat. The International Bureau of WIPO assumes no responsibility with respect to the transformation of these data. |
IQ.CPA.BREG.XQ | CPIA business regulatory environment rating (1=low to 6=high) | Business regulatory environment assesses the extent to which the legal, regulatory, and policy environments help or hinder private businesses in investing, creating jobs, and becoming more productive. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.DEBT.XQ | CPIA debt policy rating (1=low to 6=high) | Debt policy assesses whether the debt management strategy is conducive to minimizing budgetary risks and ensuring long-term debt sustainability. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.ECON.XQ | CPIA economic management cluster average (1=low to 6=high) | The economic management cluster includes macroeconomic management, fiscal policy, and debt policy. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.ENVR.XQ | CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) | Policy and institutions for environmental sustainability assess the extent to which environmental policies foster the protection and sustainable use of natural resources and the management of pollution. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.FINQ.XQ | CPIA quality of budgetary and financial management rating (1=low to 6=high) | Quality of budgetary and financial management assesses the extent to which there is a comprehensive and credible budget linked to policy priorities, effective financial management systems, and timely and accurate accounting and fiscal reporting, including | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.FINS.XQ | CPIA financial sector rating (1=low to 6=high) | Financial sector assesses the structure of the financial sector and the policies and regulations that affect it. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.FISP.XQ | CPIA fiscal policy rating (1=low to 6=high) | Fiscal policy assesses the short- and medium-term sustainability of fiscal policy (taking into account monetary and exchange rate policy and the sustainability of the public debt) and its impact on growth. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.GNDR.XQ | CPIA gender equality rating (1=low to 6=high) | Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.HRES.XQ | CPIA building human resources rating (1=low to 6=high) | Building human resources assesses the national policies and public and private sector service delivery that affect the access to and quality of health and education services, including prevention and treatment of HIV/AIDS, tuberculosis, and malaria. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.IRAI.XQ | IDA resource allocation index (1=low to 6=high) | IDA Resource Allocation Index is obtained by calculating the average score for each cluster and then by averaging those scores. For each of 16 criteria countries are rated on a scale of 1 (low) to 6 (high). | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.MACR.XQ | CPIA macroeconomic management rating (1=low to 6=high) | Macroeconomic management assesses the monetary, exchange rate, and aggregate demand policy framework. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.PADM.XQ | CPIA quality of public administration rating (1=low to 6=high) | Quality of public administration assesses the extent to which civilian central government staff is structured to design and implement government policy and deliver services effectively. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.PRES.XQ | CPIA equity of public resource use rating (1=low to 6=high) | Equity of public resource use assesses the extent to which the pattern of public expenditures and revenue collection affects the poor and is consistent with national poverty reduction priorities. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.PROP.XQ | CPIA property rights and rule-based governance rating (1=low to 6=high) | Property rights and rule-based governance assess the extent to which private economic activity is facilitated by an effective legal system and rule-based governance structure in which property and contract rights are reliably respected and enforced. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.PROT.XQ | CPIA social protection rating (1=low to 6=high) | Social protection and labor assess government policies in social protection and labor market regulations that reduce the risk of becoming poor, assist those who are poor to better manage further risks, and ensure a minimal level of welfare to all people. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.PUBS.XQ | CPIA public sector management and institutions cluster average (1=low to 6=high) | The public sector management and institutions cluster includes property rights and rule-based governance, quality of budgetary and financial management, efficiency of revenue mobilization, quality of public administration, and transparency, accountability | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.REVN.XQ | CPIA efficiency of revenue mobilization rating (1=low to 6=high) | Efficiency of revenue mobilization assesses the overall pattern of revenue mobilization--not only the de facto tax structure, but also revenue from all sources as actually collected. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.SOCI.XQ | CPIA policies for social inclusion/equity cluster average (1=low to 6=high) | The policies for social inclusion and equity cluster includes gender equality, equity of public resource use, building human resources, social protection and labor, and policies and institutions for environmental sustainability. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.STRC.XQ | CPIA structural policies cluster average (1=low to 6=high) | The structural policies cluster includes trade, financial sector, and business regulatory environment. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.TRAD.XQ | CPIA trade rating (1=low to 6=high) | Trade assesses how the policy framework fosters trade in goods. | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.CPA.TRAN.XQ | CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) | Transparency, accountability, and corruption in the public sector assess the extent to which the executive can be held accountable for its use of funds and for the results of its actions by the electorate and by the legislature and judiciary, and the exte | World Bank Group, CPIA database (http://www.worldbank.org/ida). |
IQ.WEF.CUST.XQ | Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) | Burden of Customs Procedure measures business executives' perceptions of their country's efficiency of customs procedures. The rating ranges from 1 to 7, with a higher score indicating greater efficiency. Data are from the World Economic Forum's Executive | World Economic Forum, Global Competiveness Report and data files. |
IQ.WEF.PORT.XQ | Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards) | The Quality of Port Infrastructure measures business executives' perception of their country's port facilities. Data are from the World Economic Forum's Executive Opinion Survey, conducted for 30 years in collaboration with 150 partner institutes. The 200 | World Economic Forum, Global Competiveness Report. |
IS.AIR.DPRT | Air transport, registered carrier departures worldwide | Registered carrier departures worldwide are domestic takeoffs and takeoffs abroad of air carriers registered in the country. | International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates. |
IS.AIR.GOOD.MT.K1 | Air transport, freight (million ton-km) | Air freight is the volume of freight, express, and diplomatic bags carried on each flight stage (operation of an aircraft from takeoff to its next landing), measured in metric tons times kilometers traveled. | International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates. |
IS.AIR.PSGR | Air transport, passengers carried | Air passengers carried include both domestic and international aircraft passengers of air carriers registered in the country. | International Civil Aviation Organization, Civil Aviation Statistics of the World and ICAO staff estimates. |
IS.ROD.DESL.KT | Road sector diesel fuel consumption (kt of oil equivalent) | Diesel is heavy oils used as a fuel for internal combustion in diesel engines. | International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
IS.ROD.DESL.PC | Road sector diesel fuel consumption per capita (kg of oil equivalent) | Diesel is heavy oils used as a fuel for internal combustion in diesel engines. | International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
IS.ROD.DNST.K2 | Road density (km of road per 100 sq. km of land area) | Road density is the ratio of the length of the country's total road network to the country's land area. The road network includes all roads in the country: motorways, highways, main or national roads, secondary or regional roads, and other urban and rural | International Road Federation, World Road Statistics and electronic files, except where noted. |
IS.ROD.ENGY.KT | Road sector energy consumption (kt of oil equivalent) | Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste. | International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
IS.ROD.ENGY.PC | Road sector energy consumption per capita (kg of oil equivalent) | Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste. | International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
IS.ROD.ENGY.ZS | Road sector energy consumption (% of total energy consumption) | Road sector energy consumption is the total energy used in the road sector including petroleum products, natural gas, electricity, and combustible renewable and waste. Total energy consumption is the total country energy consumption. | International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
IS.ROD.GOOD.MT.K6 | Roads, goods transported (million ton-km) | Goods transported by road are the volume of goods transported by road vehicles, measured in millions of metric tons times kilometers traveled. | International Road Federation, World Road Statistics and electronic files, except where noted. |
IS.ROD.PAVE.ZS | Roads, paved (% of total roads) | Paved roads are those surfaced with crushed stone (macadam) and hydrocarbon binder or bituminized agents, with concrete, or with cobblestones, as a percentage of all the country's roads, measured in length. | International Road Federation, World Road Statistics and electronic files, except where noted. |
IS.ROD.PSGR.K6 | Roads, passengers carried (million passenger-km) | Passengers carried by road are the number of passengers transported by road times kilometers traveled. | International Road Federation, World Road Statistics and electronic files, except where noted. |
IS.ROD.SGAS.KT | Road sector gasoline fuel consumption (kt of oil equivalent) | Gasoline is light hydrocarbon oil use in internal combustion engine such as motor vehicles, excluding aircraft. | International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
IS.ROD.SGAS.PC | Road sector gasoline fuel consumption per capita (kg of oil equivalent) | Gasoline is light hydrocarbon oil use in internal combustion engine such as motor vehicles, excluding aircraft. | International Road Federation, World Road Statistics and electronic files, except where noted, and International Energy Agency (IEA Statistics © OECD/IEA, http://www.iea.org/stats/index.asp). |
IS.ROD.TOTL.KM | Roads, total network (km) | Total road network includes motorways, highways, and main or national roads, secondary or regional roads, and all other roads in a country. A motorway is a road designed and built for motor traffic that separates the traffic flowing in opposite directions | International Road Federation, World Road Statistics and electronic files, except where noted. |
IS.RRS.GOOD.MT.K6 | Railways, goods transported (million ton-km) | Goods transported by railway are the volume of goods transported by railway, measured in metric tons times kilometers traveled. | World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division. |
IS.RRS.PASG.KM | Railways, passengers carried (million passenger-km) | Passengers carried by railway are the number of passengers transported by rail times kilometers traveled. | World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division. |
IS.RRS.TOTL.KM | Rail lines (total route-km) | Rail lines are the length of railway route available for train service, irrespective of the number of parallel tracks. | World Bank, Transportation, Water, and Information and Communications Technologies Department, Transport Division. |
IS.SHP.GCNW.XQ | Liner shipping connectivity index (maximum value in 2004 = 100) | The Liner Shipping Connectivity Index captures how well countries are connected to global shipping networks. It is computed by the United Nations Conference on Trade and Development (UNCTAD) based on five components of the maritime transport sector: numbe | United Nations Conference on Trade and Development, Review of Maritime Transport 2010. |
IS.SHP.GOOD.TU | Container port traffic (TEU: 20 foot equivalent units) | Port container traffic measures the flow of containers from land to sea transport modes., and vice versa, in twenty-foot equivalent units (TEUs), a standard-size container. Data refer to coastal shipping as well as international journeys. Transshipment tr | Containerisation International, Containerisation International Yearbook. |
IS.VEH.NVEH.P3 | Motor vehicles (per 1,000 people) | Motor vehicles include cars, buses, and freight vehicles but do not include two-wheelers. Population refers to midyear population in the year for which data are available. | International Road Federation, World Road Statistics and data files. |
IS.VEH.PCAR.P3 | Passenger cars (per 1,000 people) | Passenger cars refer to road motor vehicles, other than two-wheelers, intended for the carriage of passengers and designed to seat no more than nine people (including the driver). | International Road Federation, World Road Statistics and data files. |
IS.VEH.ROAD.K1 | Vehicles (per km of road) | Vehicles per kilometer of road include cars, buses, and freight vehicles but do not include two-wheelers. Roads refer to motorways, highways, main or national roads, secondary or regional roads, and other roads. A motorway is a road specially designed and | International Road Federation, World Road Statistics and data files. |
IT.CEL.SETS | Mobile cellular subscriptions | Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service using cellular technology, which provide access to the public switched telephone network. Post-paid and prepaid subscriptions are included. | International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. |
IT.CEL.SETS.P2 | Mobile cellular subscriptions (per 100 people) | Mobile cellular telephone subscriptions are subscriptions to a public mobile telephone service using cellular technology, which provide access to the public switched telephone network. Post-paid and prepaid subscriptions are included. | International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. |
IT.MLT.MAIN | Telephone lines | Telephone lines are fixed telephone lines that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a telephone exchange. Integrated services digital network channels ands fixed wireless subscribers ar | International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. |
IT.MLT.MAIN.P2 | Telephone lines (per 100 people) | Telephone lines are fixed telephone lines that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a telephone exchange. Integrated services digital network channels ands fixed wireless subscribers ar | International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. |
IT.NET.BBND | Fixed broadband Internet subscribers | Fixed broadband Internet subscribers are the number of broadband subscribers with a digital subscriber line, cable modem, or other high-speed technology. | International Telecommunication Union, World Telecommunication/ICT Development Report and database. |
IT.NET.BBND.P2 | Fixed broadband Internet subscribers (per 100 people) | Fixed broadband Internet subscribers are the number of broadband subscribers with a digital subscriber line, cable modem, or other high-speed technology. | International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. |
IT.NET.SECR | Secure Internet servers | Secure servers are servers using encryption technology in Internet transactions. | Netcraft (http://www.netcraft.com/). |
IT.NET.SECR.P6 | Secure Internet servers (per 1 million people) | Secure servers are servers using encryption technology in Internet transactions. | Netcraft (http://www.netcraft.com/) and World Bank population estimates. |
IT.NET.USER | Internet users | Internet users are people with access to the worldwide network. | International Telecommunication Union, World Telecommunication/ICT Development Report and database. |
IT.NET.USER.P2 | Internet users (per 100 people) | Internet users are people with access to the worldwide network. | International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. |
IT.PRT.NEWS.P3 | Daily newspapers (per 1,000 people) | Daily newspapers refer to those published at least four times a week and calculated as average circulation (or copies printed) per 1,000 people. | United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. |
IT.TEL.TOTL.P2 | Mobile and fixed-line telephone subscribers (per 100 people) | Fixed line and mobile cellular subscriptions are total telephone subscriptions (fixed line plus mobile). Fixed telephone lines are those that connect a subscriber's terminal equipment to the public switched telephone network and that have a port on a tele | International Telecommunication Union, World Telecommunication/ICT Development Report and database, and World Bank estimates. |
LP.EXP.DURS.MD | Lead time to export, median case (days) | Lead time to export is the median time (the value for 50 percent of shipments) from shipment point to port of loading. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of shipments) a | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
LP.IMP.DURS.MD | Lead time to import, median case (days) | Lead time to import is the median time (the value for 50 percent of shipments) from port of discharge to arrival at the consignee. Data are from the Logistics Performance Index survey. Respondents provided separate values for the best case (10 percent of | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
LP.LPI.CUST.XQ | Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) | Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
LP.LPI.INFR.XQ | Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) | Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
LP.LPI.ITRN.XQ | Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) | Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
LP.LPI.LOGS.XQ | Logistics performance index: Competence and quality of logistics services (1=low to 5=high) | Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
LP.LPI.OVRL.XQ | Logistics performance index: Overall (1=low to 5=high) | Logistics Performance Index overall score reflects perceptions of a country's logistics based on efficiency of customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
LP.LPI.TIME.XQ | Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) | Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
LP.LPI.TRAC.XQ | Logistics performance index: Ability to track and trace consignments (1=low to 5=high) | Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2009 round of surveys covered more than 5,0 | World Bank and Turku School of Economics, Logistic Performance Index Surveys. Data are available online at : http://www.worldbank.org/lpi. Summary results are published in Arvis and others' Connecting to Compete: Trade Logistics in the Global Economy, The |
MS.MIL.MPRT.KD | Arms imports (constant 1990 US$) | Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed | Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security. |
MS.MIL.TOTL.P1 | Armed forces personnel, total | Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. | International Institute for Strategic Studies, The Military Balance. |
MS.MIL.TOTL.TF.ZS | Armed forces personnel (% of total labor force) | Armed forces personnel are active duty military personnel, including paramilitary forces if the training, organization, equipment, and control suggest they may be used to support or replace regular military forces. Labor force comprises all people who mee | International Institute for Strategic Studies, The Military Balance. |
MS.MIL.XPND.CN | Military expenditure (current LCU) | Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense project | Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security. |
MS.MIL.XPND.GD.ZS | Military expenditure (% of GDP) | Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense project | Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security. |
MS.MIL.XPND.ZS | Military expenditure (% of central government expenditure) | Military expenditures data from SIPRI are derived from the NATO definition, which includes all current and capital expenditures on the armed forces, including peacekeeping forces; defense ministries and other government agencies engaged in defense project | Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security. |
MS.MIL.XPRT.KD | Arms exports (constant 1990 US$) | Arms transfers cover the supply of military weapons through sales, aid, gifts, and those made through manufacturing licenses. Data cover major conventional weapons such as aircraft, armored vehicles, artillery, radar systems, missiles, and ships designed | Stockholm International Peace Research Institute (SIPRI), Yearbook: Armaments, Disarmament and International Security. |
NE.CON.GOVT.CD | General government final consumption expenditure (current US$) | General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.GOVT.CN | General government final consumption expenditure (current LCU) | General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.GOVT.KD | General government final consumption expenditure (constant 2000 US$) | General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.GOVT.KD.ZG | General government final consumption expenditure (annual % growth) | Annual percentage growth of general government final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. General government final consumption expenditure (general government consumption) includes a | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.GOVT.KN | General government final consumption expenditure (constant LCU) | General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.GOVT.ZS | General government final consumption expenditure (% of GDP) | General government final consumption expenditure (formerly general government consumption) includes all government current expenditures for purchases of goods and services (including compensation of employees). It also includes most expenditures on nation | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PETC.CD | Household final consumption expenditure, etc. (current US$) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PETC.CN | Household final consumption expenditure, etc. (current LCU) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PETC.KD | Household final consumption expenditure, etc. (constant 2000 US$) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PETC.KD.ZG | Household final consumption expenditure, etc. (annual % growth) | Annual percentage growth of household final consumption expenditure is based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Household final consumption expenditure (formerly private consumption) is the market value of all | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PETC.KN | Household final consumption expenditure, etc. (constant LCU) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PETC.ZS | Household final consumption expenditure, etc. (% of GDP) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PRVT.CD | Household final consumption expenditure (current US$) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PRVT.CN | Household final consumption expenditure (current LCU) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PRVT.KD | Household final consumption expenditure (constant 2000 US$) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PRVT.KD.ZG | Household final consumption expenditure (annual % growth) | Annual percentage growth of household final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Household final consumption expenditure (formerly private consumption) is the market value of all goo | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PRVT.KN | Household final consumption expenditure (constant LCU) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PRVT.PC.KD | Household final consumption expenditure per capita (constant 2000 US$) | Household final consumption expenditure per capita (private consumption per capita) is calculated using private consumption in constant 2000 prices and World Bank population estimates. Household final consumption expenditure is the market value of all goo | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PRVT.PC.KD.ZG | Household final consumption expenditure per capita growth (annual %) | Annual percentage growth of household final consumption expenditure per capita, which is calculated using household final consumption expenditure in constant 2000 prices and World Bank population estimates. Household final consumption expenditure (private | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.PRVT.PP.CD | Household final consumption expenditure, PPP (current international $) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank, International Comparison Program database. |
NE.CON.PRVT.PP.KD | Household final consumption expenditure, PPP (constant 2005 international $) | Household final consumption expenditure (formerly private consumption) is the market value of all goods and services, including durable products (such as cars, washing machines, and home computers), purchased by households. It excludes purchases of dwelli | World Bank, International Comparison Program database. |
NE.CON.TETC.CD | Final consumption expenditure, etc. (current US$) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statis | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TETC.CN | Final consumption expenditure, etc. (current LCU) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate i | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TETC.KD | Final consumption expenditure, etc. (constant 2000 US$) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate i | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TETC.KD.ZG | Final consumption expenditure, etc. (annual % growth) | Average annual growth of final consumption expenditure based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure ( | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TETC.KN | Final consumption expenditure, etc. (constant LCU) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). This estimate i | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TETC.ZS | Final consumption expenditure, etc. (% of GDP) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). This estimate includes any statis | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TOTL.CD | Final consumption expenditure (current US$) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current U.S. dollars. | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TOTL.CN | Final consumption expenditure (current LCU) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (private consumption) and general government final consumption expenditure (general government consumption). Data are in current local currenc | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TOTL.KD | Final consumption expenditure (constant 2000 US$) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in con | World Bank national accounts data, and OECD National Accounts data files. |
NE.CON.TOTL.KN | Final consumption expenditure (constant LCU) | Final consumption expenditure (formerly total consumption) is the sum of household final consumption expenditure (formerly private consumption) and general government final consumption expenditure (formerly general government consumption). Data are in con | World Bank national accounts data, and OECD National Accounts data files. |
NE.DAB.DEFL.ZS | Gross national expenditure deflator (base year varies by country) | Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f | World Bank national accounts data, and OECD National Accounts data files. |
NE.DAB.TOTL.CD | Gross national expenditure (current US$) | Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f | World Bank national accounts data, and OECD National Accounts data files. |
NE.DAB.TOTL.CN | Gross national expenditure (current LCU) | Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f | World Bank national accounts data, and OECD National Accounts data files. |
NE.DAB.TOTL.KD | Gross national expenditure (constant 2000 US$) | Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f | World Bank national accounts data, and OECD National Accounts data files. |
NE.DAB.TOTL.KN | Gross national expenditure (constant LCU) | Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f | World Bank national accounts data, and OECD National Accounts data files. |
NE.DAB.TOTL.ZS | Gross national expenditure (% of GDP) | Gross national expenditure (formerly domestic absorption) is the sum of household final consumption expenditure (formerly private consumption), general government final consumption expenditure (formerly general government consumption), and gross capital f | World Bank national accounts data, and OECD National Accounts data files. |
NE.EXP.GNFS.CD | Exports of goods and services (current US$) | Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as | World Bank national accounts data, and OECD National Accounts data files. |
NE.EXP.GNFS.CN | Exports of goods and services (current LCU) | Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as | World Bank national accounts data, and OECD National Accounts data files. |
NE.EXP.GNFS.KD | Exports of goods and services (constant 2000 US$) | Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as | World Bank national accounts data, and OECD National Accounts data files. |
NE.EXP.GNFS.KD.ZG | Exports of goods and services (annual % growth) | Annual growth rate of exports of goods and services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Exports of goods and services represent the value of all goods and other market services provided to the rest of the | World Bank national accounts data, and OECD National Accounts data files. |
NE.EXP.GNFS.KN | Exports of goods and services (constant LCU) | Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as | World Bank national accounts data, and OECD National Accounts data files. |
NE.EXP.GNFS.ZS | Exports of goods and services (% of GDP) | Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such as | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.FPRV.CN | Gross fixed capital formation, private sector (current LCU) | Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets. | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.FPRV.ZS | Gross fixed capital formation, private sector (% of GDP) | Private investment covers gross outlays by the private sector (including private nonprofit agencies) on additions to its fixed domestic assets. | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.FTOT.CD | Gross fixed capital formation (current US$) | Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.FTOT.CN | Gross fixed capital formation (current LCU) | Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.FTOT.KD | Gross fixed capital formation (constant 2000 US$) | Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.FTOT.KD.ZG | Gross fixed capital formation (annual % growth) | Average annual growth of gross fixed capital formation based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditch | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.FTOT.KN | Gross fixed capital formation (constant LCU) | Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.FTOT.ZS | Gross fixed capital formation (% of GDP) | Gross fixed capital formation (formerly gross domestic fixed investment) includes land improvements (fences, ditches, drains, and so on); plant, machinery, and equipment purchases; and the construction of roads, railways, and the like, including schools, | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.STKB.CD | Changes in inventories (current US$) | Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current U.S. dollars. | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.STKB.CN | Changes in inventories (current LCU) | Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in current local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.STKB.KN | Changes in inventories (constant LCU) | Inventories are stocks of goods held by firms to meet temporary or unexpected fluctuations in production or sales, and "work in progress." Data are in constant local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.TOTL.CD | Gross capital formation (current US$) | Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.TOTL.CN | Gross capital formation (current LCU) | Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.TOTL.KD | Gross capital formation (constant 2000 US$) | Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.TOTL.KD.ZG | Gross capital formation (annual % growth) | Annual growth rate of gross capital formation based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the ec | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.TOTL.KN | Gross capital formation (constant LCU) | Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla | World Bank national accounts data, and OECD National Accounts data files. |
NE.GDI.TOTL.ZS | Gross capital formation (% of GDP) | Gross capital formation (formerly gross domestic investment) consists of outlays on additions to the fixed assets of the economy plus net changes in the level of inventories. Fixed assets include land improvements (fences, ditches, drains, and so on); pla | World Bank national accounts data, and OECD National Accounts data files. |
NE.IMP.GNFS.CD | Imports of goods and services (current US$) | Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a | World Bank national accounts data, and OECD National Accounts data files. |
NE.IMP.GNFS.CN | Imports of goods and services (current LCU) | Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a | World Bank national accounts data, and OECD National Accounts data files. |
NE.IMP.GNFS.KD | Imports of goods and services (constant 2000 US$) | Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a | World Bank national accounts data, and OECD National Accounts data files. |
NE.IMP.GNFS.KD.ZG | Imports of goods and services (annual % growth) | Annual growth rate of imports of goods and services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Imports of goods and services represent the value of all goods and other market services received from the rest of th | World Bank national accounts data, and OECD National Accounts data files. |
NE.IMP.GNFS.KN | Imports of goods and services (constant LCU) | Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a | World Bank national accounts data, and OECD National Accounts data files. |
NE.IMP.GNFS.ZS | Imports of goods and services (% of GDP) | Imports of goods and services represent the value of all goods and other market services received from the rest of the world. They include the value of merchandise, freight, insurance, transport, travel, royalties, license fees, and other services, such a | World Bank national accounts data, and OECD National Accounts data files. |
NE.RSB.GNFS.CD | External balance on goods and services (current US$) | External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current U.S. dollars. | World Bank national accounts data, and OECD National Accounts data files. |
NE.RSB.GNFS.CN | External balance on goods and services (current LCU) | External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in current local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NE.RSB.GNFS.KN | External balance on goods and services (constant LCU) | External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). Data are in constant local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NE.RSB.GNFS.ZS | External balance on goods and services (% of GDP) | External balance on goods and services (formerly resource balance) equals exports of goods and services minus imports of goods and services (previously nonfactor services). | World Bank national accounts data, and OECD National Accounts data files. |
NE.TRD.GNFS.ZS | Trade (% of GDP) | Trade is the sum of exports and imports of goods and services measured as a share of gross domestic product. | World Bank national accounts data, and OECD National Accounts data files. |
NV.AGR.TOTL.CD | Agriculture, value added (current US$) | Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. | World Bank national accounts data, and OECD National Accounts data files. |
NV.AGR.TOTL.CN | Agriculture, value added (current LCU) | Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. | World Bank national accounts data, and OECD National Accounts data files. |
NV.AGR.TOTL.KD | Agriculture, value added (constant 2000 US$) | Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. | World Bank national accounts data, and OECD National Accounts data files. |
NV.AGR.TOTL.KD.ZG | Agriculture, value added (annual % growth) | Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crop | World Bank national accounts data, and OECD National Accounts data files. |
NV.AGR.TOTL.KN | Agriculture, value added (constant LCU) | Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. | World Bank national accounts data, and OECD National Accounts data files. |
NV.AGR.TOTL.ZS | Agriculture, value added (% of GDP) | Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.MANF.CD | Manufacturing, value added (current US$) | Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.MANF.CN | Manufacturing, value added (current LCU) | Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.MANF.KD | Manufacturing, value added (constant 2000 US$) | Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.MANF.KD.ZG | Manufacturing, value added (annual % growth) | Annual growth rate for manufacturing value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after ad | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.MANF.KN | Manufacturing, value added (constant LCU) | Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.MANF.ZS | Manufacturing, value added (% of GDP) | Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated asse | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.TOTL.CD | Industry, value added (current US$) | Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.TOTL.CN | Industry, value added (current LCU) | Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.TOTL.KD | Industry, value added (constant 2000 US$) | Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.TOTL.KD.ZG | Industry, value added (annual % growth) | Annual growth rate for industrial value added based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.TOTL.KN | Industry, value added (constant LCU) | Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out | World Bank national accounts data, and OECD National Accounts data files. |
NV.IND.TOTL.ZS | Industry, value added (% of GDP) | Industry corresponds to ISIC divisions 10-45 and includes manufacturing (ISIC divisions 15-37). It comprises value added in mining, manufacturing (also reported as a separate subgroup), construction, electricity, water, and gas. Value added is the net out | World Bank national accounts data, and OECD National Accounts data files. |
NV.MNF.CHEM.ZS.UN | Chemicals (% of value added in manufacturing) | Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Chemicals comprise ISIC groups 351 and 352. | United Nations Industrial Development Organization, International Yearbook of Industrial Statistics. |
NV.MNF.FBTO.ZS.UN | Food, beverages and tobacco (% of value added in manufacturing) | Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Food, beverages, and tobacco comprise ISIC division 31. | United Nations Industrial Development Organization, International Yearbook of Industrial Statistics. |
NV.MNF.MTRN.ZS.UN | Machinery and transport equipment (% of value added in manufacturing) | Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Machinery and transport equipment comprise ISIC groups 382-84. | United Nations Industrial Development Organization, International Yearbook of Industrial Statistics. |
NV.MNF.OTHR.ZS.UN | Other manufacturing (% of value added in manufacturing) | Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Other manufacturing includes wood and related products (division 33), paper and paper-rela | United Nations Industrial Development Organization, International Yearbook of Industrial Statistics. |
NV.MNF.TXTL.ZS.UN | Textiles and clothing (% of value added in manufacturing) | Value added in manufacturing is the sum of gross output less the value of intermediate inputs used in production for industries classified in ISIC major division 3. Textiles and clothing comprise ISIC division 32. | United Nations Industrial Development Organization, International Yearbook of Industrial Statistics. |
NV.SRV.TETC.CD | Services, etc., value added (current US$) | Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real esta | World Bank national accounts data, and OECD National Accounts data files. |
NV.SRV.TETC.CN | Services, etc., value added (current LCU) | Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real esta | World Bank national accounts data, and OECD National Accounts data files. |
NV.SRV.TETC.KD | Services, etc., value added (constant 2000 US$) | Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real esta | World Bank national accounts data, and OECD National Accounts data files. |
NV.SRV.TETC.KD.ZG | Services, etc., value added (annual % growth) | Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and | World Bank national accounts data, and OECD National Accounts data files. |
NV.SRV.TETC.KN | Services, etc., value added (constant LCU) | Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real esta | World Bank national accounts data, and OECD National Accounts data files. |
NV.SRV.TETC.ZS | Services, etc., value added (% of GDP) | Services correspond to ISIC divisions 50-99 and they include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real e | World Bank national accounts data, and OECD National Accounts data files. |
NY.ADJ.AEDU.CD | Adjusted savings: education expenditure (current US$) | Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment. | World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database. |
NY.ADJ.AEDU.GN.ZS | Adjusted savings: education expenditure (% of GNI) | Education expenditure refers to the current operating expenditures in education, including wages and salaries and excluding capital investments in buildings and equipment. | World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database. |
NY.ADJ.DCO2.CD | Adjusted savings: carbon dioxide damage (current US$) | Carbon dioxide damage is estimated to be $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emitted. | World Bank staff estimates based on Samuel Fankhauser's "Valuing Climate Change: The Economics of the Greenhouse" (1995). |
NY.ADJ.DCO2.GN.ZS | Adjusted savings: carbon dioxide damage (% of GNI) | Carbon dioxide damage is estimated to be $20 per ton of carbon (the unit damage in 1995 U.S. dollars) times the number of tons of carbon emitted. | World Bank staff estimates based on Samuel Fankhauser's "Valuing Climate Change: The Economics of the Greenhouse" (1995). |
NY.ADJ.DFOR.CD | Adjusted savings: net forest depletion (current US$) | Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.DFOR.GN.ZS | Adjusted savings: net forest depletion (% of GNI) | Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.DKAP.CD | Adjusted savings: consumption of fixed capital (current US$) | Consumption of fixed capital represents the replacement value of capital used up in the process of production. | World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics. |
NY.ADJ.DKAP.GN.ZS | Adjusted savings: consumption of fixed capital (% of GNI) | Consumption of fixed capital represents the replacement value of capital used up in the process of production. | World Bank staff estimates using data from the United Nations Statistics Division's National Accounts Statistics. |
NY.ADJ.DMIN.CD | Adjusted savings: mineral depletion (current US$) | Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.DMIN.GN.ZS | Adjusted savings: mineral depletion (% of GNI) | Mineral depletion is the ratio of the value of the stock of mineral resources to the remaining reserve lifetime (capped at 25 years). It covers tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosphate. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.DNGY.CD | Adjusted savings: energy depletion (current US$) | Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.DNGY.GN.ZS | Adjusted savings: energy depletion (% of GNI) | Energy depletion is the ratio of the value of the stock of energy resources to the remaining reserve lifetime (capped at 25 years). It covers coal, crude oil, and natural gas. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.DPEM.CD | Adjusted savings: particulate emission damage (current US$) | Particulate emissions damage is calculated as the willingness to pay to avoid mortality attributable to particulate emissions. | Kiran D. Pandey and others' "The Human Costs of Air Pollution: New Estimates for Developing Countries" (working paper). |
NY.ADJ.DPEM.GN.ZS | Adjusted savings: particulate emission damage (% of GNI) | Particulate emissions damage is calculated as the willingness to pay to avoid mortality attributable to particulate emissions. | Kiran D. Pandey and others' "The Human Costs of Air Pollution: New Estimates for Developing Countries" (working paper). |
NY.ADJ.DRES.GN.ZS | Adjusted savings: natural resources depletion (% of GNI) | Natural resource depletion is the sum of net forest depletion, energy depletion, and mineral depletion. Net forest depletion is unit resource rents times the excess of roundwood harvest over natural growth. Energy depletion is the ratio of the value of th | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.ICTR.GN.ZS | Adjusted savings: gross savings (% of GNI) | Gross savings are the difference between gross national income and public and private consumption, plus net current transfers. | World Bank national accounts data files. |
NY.ADJ.NNAT.CD | Adjusted savings: net national savings (current US$) | Net national savings are equal to gross national savings less the value of consumption of fixed capital. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.NNAT.GN.ZS | Adjusted savings: net national savings (% of GNI) | Net national savings are equal to gross national savings less the value of consumption of fixed capital. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.NNTY.CD | Adjusted net national income (current US$) | Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.NNTY.KD | Adjusted net national income (constant 2000 US$) | Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.NNTY.KD.ZG | Adjusted net national income (annual % growth) | Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.SVNG.CD | Adjusted net savings, including particulate emission damage (current US$) | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.SVNG.GN.ZS | Adjusted net savings, including particulate emission damage (% of GNI) | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.SVNX.CD | Adjusted net savings, excluding particulate emission damage (current US$) | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.ADJ.SVNX.GN.ZS | Adjusted net savings, excluding particulate emission damage (% of GNI) | Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide. This series excludes particulate emissions damage. | World Bank staff estimates based on sources and methods in World Bank's "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (2011). |
NY.EXP.CAPM.KN | Exports as a capacity to import (constant LCU) | Exports as a capacity to import equals the current price value of exports of goods and services deflated by the import price index. Data are in constant local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.COAL.RT.ZS | Coal rents (% of GDP) | Coal rents are the difference between the value of both hard and soft coal production at world prices and their total costs of production. | Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011). |
NY.GDP.DEFL.KD.ZG | Inflation, GDP deflator (annual %) | Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.DEFL.ZS | GDP deflator (base year varies by country) | The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency. The base year varies by country. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.DISC.CN | Discrepancy in expenditure estimate of GDP (current LCU) | Discrepancy in expenditure estimate of GDP is the discrepancy included in final consumption expenditure, etc. (total consumption, etc.). This discrepancy is included to ensure that GDP from the expenditure side equals GDP measured by the income or output | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.DISC.KN | Discrepancy in expenditure estimate of GDP (constant LCU) | A statistical discrepancy usually arises when the GDP components are estimated independently by industrial origin and by expenditure categories. This item represents the discrepancy in the use of resources (i.e., the estimate of GDP by expenditure catego | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.FCST.CD | Gross value added at factor cost (current US$) | Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor c | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.FCST.CN | Gross value added at factor cost (current LCU) | Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor c | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.FCST.KD | Gross value added at factor cost (constant 2000 US$) | Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor c | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.FCST.KN | Gross value added at factor cost (constant LCU) | Gross value added at factor cost (formerly GDP at factor cost) is derived as the sum of the value added in the agriculture, industry and services sectors. If the value added of these sectors is calculated at purchaser values, gross value added at factor c | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.FRST.RT.ZS | Forest rents (% of GDP) | Forest rents are roundwood harvest times the product of average prices and a region-specific rental rate. | Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011). |
NY.GDP.MINR.RT.ZS | Mineral rents (% of GDP) | Mineral rents are the difference between the value of production for a stock of minerals at world prices and their total costs of production. Minerals included in the calculation are tin, gold, lead, zinc, iron, copper, nickel, silver, bauxite, and phosph | Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011). |
NY.GDP.MKTP.CD | GDP (current US$) | GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fab | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.MKTP.CN | GDP (current LCU) | GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fab | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.MKTP.KD | GDP (constant 2000 US$) | GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fab | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.MKTP.KD.ZG | GDP growth (annual %) | Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2000 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any s | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.MKTP.KN | GDP (constant LCU) | GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.MKTP.PP.CD | GDP, PPP (current international $) | PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by al | World Bank, International Comparison Program database. |
NY.GDP.MKTP.PP.KD | GDP, PPP (constant 2005 international $) | PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by al | World Bank, International Comparison Program database. |
NY.GDP.NGAS.RT.ZS | Natural gas rents (% of GDP) | Natural gas rents are the difference between the value of natural gas production at world prices and total costs of production. | Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011). |
NY.GDP.PCAP.CD | GDP per capita (current US$) | GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.PCAP.KD | GDP per capita (constant 2000 US$) | GDP per capita is gross domestic product divided by midyear population. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.PCAP.KD.ZG | GDP per capita growth (annual %) | Annual percentage growth rate of GDP per capita based on constant local currency. GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy pl | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.PCAP.KN | GDP per capita (constant LCU) | GDP per capita is gross domestic product divided by midyear population. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the prod | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDP.PCAP.PP.CD | GDP per capita, PPP (current international $) | GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the U | World Bank, International Comparison Program database. |
NY.GDP.PCAP.PP.KD | GDP per capita, PPP (constant 2005 international $) | GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the U | World Bank, International Comparison Program database. |
NY.GDP.PETR.RT.ZS | Oil rents (% of GDP) | Oil rents are the difference between the value of crude oil production at world prices and total costs of production. | Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011). |
NY.GDP.TOTL.RT.ZS | Total natural resources rents (% of GDP) | Total natural resources rents are the sum of oil rents, natural gas rents, coal rents (hard and soft), mineral rents, and forest rents. | Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011). |
NY.GDS.TOTL.CD | Gross domestic savings (current US$) | Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current U.S. dollars. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDS.TOTL.CN | Gross domestic savings (current LCU) | Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in current local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDS.TOTL.KN | Gross domestic savings (constant LCU) | Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). Data are in constant local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDS.TOTL.ZS | Gross domestic savings (% of GDP) | Gross domestic savings are calculated as GDP less final consumption expenditure (total consumption). | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDY.TOTL.KD | Gross domestic income (constant 2000 US$) | Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant 2000 U.S. dollars. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GDY.TOTL.KN | Gross domestic income (constant LCU) | Gross domestic income is derived as the sum of GDP and the terms of trade adjustment. Data are in constant local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.ATLS.CD | GNI, Atlas method (current US$) | GNI, Atlas method (current US$) | World Bank |
NY.GNP.MKTP.CD | GNI (current US$) | GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data ar | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.MKTP.CN | GNI (current LCU) | GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data ar | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.MKTP.KD | GNI (constant 2000 US$) | GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data ar | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.MKTP.KD.ZG | GNI growth (annual %) | GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.MKTP.KN | GNI (constant LCU) | GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data ar | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.MKTP.PP.CD | GNI, PPP (current international $) | PPP GNI (formerly PPP GNP) is gross national income converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in the United States. Gross national income (GN | World Bank, International Comparison Program database. |
NY.GNP.PCAP.CD | GNI per capita, Atlas method (current US$) | GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less sub | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.PCAP.KD | GNI per capita (constant 2000 US$) | GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary inco | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.PCAP.KD.ZG | GNI per capita growth (annual %) | GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary inco | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.PCAP.KN | GNI per capita (constant LCU) | GNI per capita is gross national income divided by midyear population. GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary inco | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNP.PCAP.PP.CD | GNI per capita, PPP (current international $) | GNI per capita based on purchasing power parity (PPP). PPP GNI is gross national income (GNI) converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GNI as a U.S. dollar has in th | World Bank, International Comparison Program database. |
NY.GNS.ICTR.CD | Gross savings (current US$) | Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current U.S. dollars. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNS.ICTR.CN | Gross savings (current LCU) | Gross savings are calculated as gross national income less total consumption, plus net transfers. Data are in current local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNS.ICTR.GN.ZS | Gross savings (% of GNI) | Gross savings are calculated as gross national income less total consumption, plus net transfers. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNS.ICTR.ZS | Gross savings (% of GDP) | Gross savings are calculated as gross national income less total consumption, plus net transfers. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GNY.TOTL.KN | Gross national income (constant LCU) | Gross national income is derived as the sum of GNP and the terms of trade adjustment. Data are in constant local currency. | World Bank national accounts data, and OECD National Accounts data files. |
NY.GSR.NFCY.CD | Net income from abroad (current US$) | Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ow | World Bank national accounts data, and OECD National Accounts data files. |
NY.GSR.NFCY.CN | Net income from abroad (current LCU) | Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ow | World Bank national accounts data, and OECD National Accounts data files. |
NY.GSR.NFCY.KN | Net income from abroad (constant LCU) | Net income includes the net labor income and net property and entrepreneurial income components of the SNA. Labor income covers compensation of employees paid to nonresident workers. Property and entrepreneurial income covers investment income from the ow | World Bank national accounts data, and OECD National Accounts data files. |
NY.TAX.NIND.CD | Net taxes on products (current US$) | Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current | World Bank national accounts data, and OECD National Accounts data files. |
NY.TAX.NIND.CN | Net taxes on products (current LCU) | Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current | World Bank national accounts data, and OECD National Accounts data files. |
NY.TAX.NIND.KN | Net taxes on products (constant LCU) | Net taxes on products (net indirect taxes) are the sum of product taxes less subsidies. Product taxes are those taxes payable by producers that relate to the production, sale, purchase or use of the goods and services. Subsidies are grants on the current | World Bank national accounts data, and OECD National Accounts data files. |
NY.TRF.NCTR.CD | Net current transfers from abroad (current US$) | Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents | World Bank national accounts data, and OECD National Accounts data files. |
NY.TRF.NCTR.CN | Net current transfers from abroad (current LCU) | Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents | World Bank national accounts data, and OECD National Accounts data files. |
NY.TRF.NCTR.KN | Net current transfers from abroad (constant LCU) | Current transfers comprise transfers of income between residents of the reporting country and the rest of the world that carry no provisions for repayment. Net current transfers from abroad is equal to the unrequited transfers of income from nonresidents | World Bank national accounts data, and OECD National Accounts data files. |
NY.TTF.GNFS.KN | Terms of trade adjustment (constant LCU) | The terms of trade effect equals capacity to import less exports of goods and services in constant prices. Data are in constant local currency. | World Bank national accounts data, and OECD National Accounts data files. |
PA.NUS.ATLS | DEC alternative conversion factor (LCU per US$) | The DEC alternative conversion factor is the underlying annual exchange rate used for the World Bank Atlas method. As a rule, it is the official exchange rate reported in the IMF's International Financial Statistics (line rf). Exceptions arise where furth | International Monetary Fund, International Financial Statistics, supplemented by World Bank staff estimates. |
PA.NUS.FCRF | Official exchange rate (LCU per US$, period average) | Official exchange rate refers to the exchange rate determined by national authorities or to the rate determined in the legally sanctioned exchange market. It is calculated as an annual average based on monthly averages (local currency units relative to th | International Monetary Fund, International Financial Statistics. |
PA.NUS.PPP | PPP conversion factor, GDP (LCU per international $) | Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for GDP. | World Bank, International Comparison Program database. |
PA.NUS.PPPC.RF | PPP conversion factor (GDP) to market exchange rate ratio | Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amount of goods and services in the domestic market as a U.S. dollar would buy in the United States. The ratio of PPP conversion factor to ma | World Bank, International Comparison Program database. |
PA.NUS.PRVT.PP | PPP conversion factor, private consumption (LCU per international $) | Purchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States. This conversion factor is for private con | World Bank, International Comparison Program database. |
PX.REX.REER | Real effective exchange rate index (2005 = 100) | Real effective exchange rate is the nominal effective exchange rate (a measure of the value of a currency against a weighted average of several foreign currencies) divided by a price deflator or index of costs. | International Monetary Fund, International Financial Statistics. |
SE.ADT.1524.LT.FE.ZS | Literacy rate, youth female (% of females ages 15-24) | Youth (15-24) literacy rate (%). Female is the number of females age 15 to 24 years who can both read and write with understanding a short simple statement on their everyday life, divided by the female population in that age group. Generally, ‘literacy’ a | UNESCO Institute for Statistics |
SE.ADT.1524.LT.FM.ZS | Ratio of young literate females to males (% ages 15-24) | Gender parity index for youth literacy rate is the ratio of female youth literacy rate to male youth literacy rate. It is calculated by dividing the female value for the indicator by the male value for the indicator. A GPI equal to 1 indicates parity betw | UNESCO Institute for Statistics |
SE.ADT.1524.LT.MA.ZS | Literacy rate, youth male (% of males ages 15-24) | Youth (15-24) literacy rate (%). Male is the number of males age 15 to 24 years who can both read and write with understanding a short simple statement on their everyday life, divided by the male population in that age group. Generally, ‘literacy’ also en | UNESCO Institute for Statistics |
SE.ADT.1524.LT.ZS | Literacy rate, youth total (% of people ages 15-24) | Youth (15-24) literacy rate (%). Total is the number of people age 15 to 24 years who can both read and write with understanding a short simple statement on their everyday life, divided by the population in that age group. Generally, ‘literacy’ also encom | UNESCO Institute for Statistics |
SE.ADT.LITR.FE.ZS | Literacy rate, adult female (% of females ages 15 and above) | Adult (15+) literacy rate (%). Female is the percentage of females age 15 and above who can, with understanding, read and write a short, simple statement on their everyday life. Generally, ‘literacy’ also encompasses ‘numeracy’, the ability to make simple | UNESCO Institute for Statistics |
SE.ADT.LITR.MA.ZS | Literacy rate, adult male (% of males ages 15 and above) | Adult (15+) literacy rate (%). Male is the percentage of males age 15 and above who can, with understanding, read and write a short, simple statement on their everyday life. Generally, ‘literacy’ also encompasses ‘numeracy’, the ability to make simple ari | UNESCO Institute for Statistics |
SE.ADT.LITR.ZS | Literacy rate, adult total (% of people ages 15 and above) | Adult (15+) literacy rate (%). Total is the percentage of the population age 15 and above who can, with understanding, read and write a short, simple statement on their everyday life. Generally, ‘literacy’ also encompasses ‘numeracy’, the ability to make | UNESCO Institute for Statistics |
SE.ENR.PRIM.FM.ZS | Ratio of female to male primary enrollment (%) | Ratio of female to male primary enrollment is the percentage of girls to boys enrolled at primary level in public and private schools. | United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. |
SE.ENR.PRSC.FM.ZS | Ratio of girls to boys in primary and secondary education (%) | Ratio of girls to boys in primary and secondary education is the percentage of girls to boys enrolled at primary and secondary levels in public and private schools. | United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. |
SE.ENR.SECO.FM.ZS | Ratio of female to male secondary enrollment (%) | Ratio of female to male secondary enrollment is the percentage of girls to boys enrolled at secondary level in public and private schools. | United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. |
SE.ENR.TERT.FM.ZS | Ratio of female to male tertiary enrollment (%) | Ratio of female to male tertiary enrollment is the percentage of men to women enrolled at tertiary level in public and private schools. | United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. |
SE.PRE.ENRR | School enrollment, preprimary (% gross) | Gross enrolment ratio. Pre-primary. Total is the total enrollment in pre-primary education, regardless of age, expressed as a percentage of the total population of official pre-primary education age. GER can exceed 100% due to the inclusion of over-aged a | UNESCO Institute for Statistics |
SE.PRE.ENRR.FE | School enrollment, preprimary, female (% gross) | Gross enrolment ratio. Pre-primary. Female is the total female enrollment in pre-primary education, regardless of age, expressed as a percentage of the total female population of official pre-primary education age. GER can exceed 100% due to the inclusion | UNESCO Institute for Statistics |
SE.PRE.ENRR.MA | School enrollment, preprimary, male (% gross) | Gross enrolment ratio. Pre-primary. Male is the total male enrollment in pre-primary education, regardless of age, expressed as a percentage of the total male population of official pre-primary education age. GER can exceed 100% due to the inclusion of ov | UNESCO Institute for Statistics |
SE.PRM.AGES | Primary school starting age (years) | Entrance age of primary is the age at which students would enter primary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through the system without re | UNESCO Institute for Statistics |
SE.PRM.CMPT.FE.ZS | Primary completion rate, female (% of relevant age group) | Primary completion rate. Female is the total number of new female entrants in the last grade of primary education, regardless of age, expressed as percentage of the total female population of the theoretical entrance age to the last grade of primary. This | UNESCO Institute for Statistics |
SE.PRM.CMPT.MA.ZS | Primary completion rate, male (% of relevant age group) | Primary completion rate. Male is the total number of new male entrants in the last grade of primary education, regardless of age, expressed as percentage of the total male population of the theoretical entrance age to the last grade of primary. This indic | UNESCO Institute for Statistics |
SE.PRM.CMPT.ZS | Primary completion rate, total (% of relevant age group) | Primary completion rate. Total is the total number of new entrants in the last grade of primary education, regardless of age, expressed as percentage of the total population of the theoretical entrance age to the last grade of primary. This indicator is a | UNESCO Institute for Statistics |
SE.PRM.DURS | Primary education, duration (years) | Duration of primary is the number of grades (years) in primary education. | UNESCO Institute for Statistics |
SE.PRM.ENRL | Primary education, pupils | Enrolment in primary. Public and private. All programmes. Total is the total number of students enrolled in public and private primary education institutions. | UNESCO Institute for Statistics |
SE.PRM.ENRL.FE.ZS | Primary education, pupils (% female) | Percentage of female students. Primary is the number of female students at the primary level expressed as a percentage of the total number of students (male and female) at the primary level in a given school year. | UNESCO Institute for Statistics |
SE.PRM.ENRL.TC.ZS | Pupil-teacher ratio, primary | Pupil-teacher ratio. Primary is the number of pupils enrolled in primary school divided by the number of primary school teachers. | UNESCO Institute for Statistics |
SE.PRM.ENRR | School enrollment, primary (% gross) | Gross enrolment ratio. Primary. Total is the total enrollment in primary education, regardless of age, expressed as a percentage of the population of official primary education age. GER can exceed 100% due to the inclusion of over-aged and under-aged stud | UNESCO Institute for Statistics |
SE.PRM.ENRR.FE | School enrollment, primary, female (% gross) | Gross enrolment ratio. Primary. Female is the total female enrollment in primary education, regardless of age, expressed as a percentage of the female population of official primary education age. GER can exceed 100% due to the inclusion of over-aged and | UNESCO Institute for Statistics |
SE.PRM.ENRR.MA | School enrollment, primary, male (% gross) | Gross enrolment ratio. Primary. Male is the total male enrollment in primary education, regardless of age, expressed as a percentage of the male population of official primary education age. GER can exceed 100% due to the inclusion of over-aged and under- | UNESCO Institute for Statistics |
SE.PRM.GINT.FE.ZS | Gross intake rate in grade 1, female (% of relevant age group) | Gross intake ratio. Primary. Female is the total number of new female entrants in the first grade of primary education, regardless of age, expressed as a percentage of the female population at the official primary school-entrance age. The ratio can exceed | UNESCO Institute for Statistics |
SE.PRM.GINT.MA.ZS | Gross intake rate in grade 1, male (% of relevant age group) | Gross intake ratio. Primary. Male is the total number of new male entrants in the first grade of primary education, regardless of age, expressed as a percentage of the male population at the official primary school-entrance age. The ratio can exceed 100% | UNESCO Institute for Statistics |
SE.PRM.GINT.ZS | Gross intake rate in grade 1, total (% of relevant age group) | Gross intake ratio. Primary. Total is the total number of new entrants in the first grade of primary education, regardless of age, expressed as a percentage of the population at the official primary school-entrance age. The ratio can exceed 100% due to ov | UNESCO Institute for Statistics |
SE.PRM.NENR | School enrollment, primary (% net) | Net enrolment rate. Primary. Total is the ratio of children of the official primary school age who are enrolled in primary school to the total population of the official primary school age. | UNESCO Institute for Statistics |
SE.PRM.NENR.FE | School enrollment, primary, female (% net) | Net enrolment rate. Primary. Female is the ratio of female children of the official primary school age who are enrolled in primary school to the female population of the official primary school age. | UNESCO Institute for Statistics |
SE.PRM.NENR.MA | School enrollment, primary, male (% net) | Net enrolment rate. Primary. Male is the ratio of male children of the official primary school age who are enrolled in primary school to the male population of the official primary school age. | UNESCO Institute for Statistics |
SE.PRM.NINT.FE.ZS | Net intake rate in grade 1, female (% of official school-age population) | Net intake rate. Primary. Female is the number of new female entrants in the first grade of primary education who are of the official primary school-entrance age, expressed as a percentage of the female population of the same age. | UNESCO Institute for Statistics |
SE.PRM.NINT.MA.ZS | Net intake rate in grade 1, male (% of official school-age population) | Net intake rate. Primary. Male is the number of new male entrants in the first grade of primary education who are of the official primary school-entrance age, expressed as a percentage of the male population of the same age. | UNESCO Institute for Statistics |
SE.PRM.NINT.ZS | Net intake rate in grade 1 (% of official school-age population) | Net intake rate. Primary. Total is the number of new entrants in the first grade of primary education who are of the official primary school-entrance age, expressed as a percentage of the population of the same age. | UNESCO Institute for Statistics |
SE.PRM.PRIV.ZS | School enrollment, primary, private (% of total primary) | Percentage of private enrolment. Primary is the enrolment in private primary schools expressed as a percentage of total enrolment (public and private) in primary schools. 'Private' refers to all educational institutions not operated by a public authority, | UNESCO Institute for Statistics |
SE.PRM.PRS5.FE.ZS | Persistence to grade 5, female (% of cohort) | Survival rate to grade 5. Female is the share of female children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is calculated on the basis of the reconstructed cohort method, which uses data on enrolment and repea | UNESCO Institute for Statistics |
SE.PRM.PRS5.MA.ZS | Persistence to grade 5, male (% of cohort) | Survival rate to grade 5. Male is the share of male children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is calculated on the basis of the reconstructed cohort method, which uses data on enrolment and repeaters | UNESCO Institute for Statistics |
SE.PRM.PRS5.ZS | Persistence to grade 5, total (% of cohort) | Survival rate to grade 5. Total is the share of children enrolled in the first grade of primary school who eventually reach grade 5. The estimate is calculated on the basis of the reconstructed cohort method, which uses data on enrolment and repeaters for | UNESCO Institute for Statistics |
SE.PRM.PRSL.FE.ZS | Persistence to last grade of primary, female (% of cohort) | Survival rate to last grade of primary. Female is the share of female children enrolled in the first grade of primary school who eventually reach the last grade of primary. The estimate is calculated on the basis of the reconstructed cohort method, which | UNESCO Institute for Statistics |
SE.PRM.PRSL.MA.ZS | Persistence to last grade of primary, male (% of cohort) | Survival rate to last grade of primary. Male is the share of male children enrolled in the first grade of primary school who eventually reach the last grade of primary. The estimate is calculated on the basis of the reconstructed cohort method, which uses | UNESCO Institute for Statistics |
SE.PRM.PRSL.ZS | Persistence to last grade of primary, total (% of cohort) | Survival rate to last grade of primary. Total is the share of children enrolled in the first grade of primary school who eventually reach the last grade of primary. The estimate is calculated on the basis of the reconstructed cohort method, which uses dat | UNESCO Institute for Statistics |
SE.PRM.REPT.FE.ZS | Repeaters, primary, female (% of female enrollment) | Percentage of repeaters in primary. All grades. Female is the number of female students enrolled in the same grade as in the previous year, as a percentage of all female students enrolled in primary school. It is calculated by dividing the sum of female r | UNESCO Institute for Statistics |
SE.PRM.REPT.MA.ZS | Repeaters, primary, male (% of male enrollment) | Percentage of repeaters in primary. All grades. Male is the number of male students enrolled in the same grade as in the previous year, as a percentage of all male students enrolled in primary school. It is calculated by dividing the sum of male repeaters | UNESCO Institute for Statistics |
SE.PRM.REPT.ZS | Repeaters, primary, total (% of total enrollment) | Percentage of repeaters in primary. All grades. Total is the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in primary school. It is calculated by dividing the sum of repeaters in all grades | UNESCO Institute for Statistics |
SE.PRM.TCAQ.FE.ZS | Trained teachers in primary education, female (% of female teachers) | Percentage of trained teachers. Primary. Female is the number of female teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching at the primary level in the given country, expressed as a percentag | UNESCO Institute for Statistics |
SE.PRM.TCAQ.MA.ZS | Trained teachers in primary education, male (% of male teachers) | Percentage of trained teachers. Primary. Male is the number of male teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching at the primary level in the given country, expressed as a percentage of | UNESCO Institute for Statistics |
SE.PRM.TCAQ.ZS | Trained teachers in primary education (% of total teachers) | Percentage of trained teachers. Primary. Total is the number of teachers who have received the minimum organized teacher training (pre-service or in-service) required for teaching at the primary level in the given country, expressed as a percentage of the | UNESCO Institute for Statistics |
SE.PRM.TCHR | Primary education, teachers | Teaching staff in primary. Public and private. Full and part-time. All programmes. Total is the total number of teachers in public and private primary education institutions. Teachers are persons employed full time or part time in an official capacity to | UNESCO Institute for Statistics |
SE.PRM.TCHR.FE.ZS | Primary education, teachers (% female) | Percentage female teachers. Primary is the number of female teachers at the primary level expressed as a percentage of the total number of teachers (male and female) at the primary level in a given school year. Teachers are persons employed full time or p | UNESCO Institute for Statistics |
SE.PRM.TENR | Adjusted net enrollment rate, primary (% of primary school age children) | Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. | UNESCO Institute for Statistics |
SE.PRM.TENR.FE | "Adjusted net enrollment rate, primary, female (% of primary school age children)" | Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. | UNESCO Institute for Statistics |
SE.PRM.TENR.MA | "Adjusted net enrollment rate, primary, male (% of primary school age children)" | Adjusted net enrollment is the number of pupils of the school-age group for primary education, enrolled either in primary or secondary education, expressed as a percentage of the total population in that age group. | UNESCO Institute for Statistics |
SE.PRM.UNER | Children out of school, primary | Out-of-school children of primary school age. Total is the total number of primary-school-age children who are not enrolled in either primary or secondary schools. | UNESCO Institute for Statistics |
SE.PRM.UNER.FE | Children out of school, primary, female | Out-of-school children of primary school age. Female is the total number of female primary-school-age children who are not enrolled in either primary or secondary schools. | UNESCO Institute for Statistics |
SE.PRM.UNER.MA | Children out of school, primary, male | Out-of-school children of primary school age. Male is the total number of male primary-school-age children who are not enrolled in either primary or secondary schools. | UNESCO Institute for Statistics |
SE.SCH.LIFE | Expected years of schooling | School life expectancy (years). Primary to tertiary. Total is the total number of years of schooling which a child of a certain age can expect to receive in the future, assuming that the probability of his or her being enrolled in school at any particular | UNESCO Institute for Statistics |
SE.SCH.LIFE.FE | Expected years of schooling, female | Expected years of schooling, female | UNESCO Institute for Statistics |
SE.SCH.LIFE.MA | Expected years of schooling, male | Expected years of schooling, male | UNESCO Institute for Statistics |
SE.SEC.AGES | Secondary school starting age (years) | Entrance age of 2A lower secondary is the age at which students would enter lower secondary education, assuming they had started at the official entrance age for the lowest level of education, had studied full-time throughout and had progressed through th | UNESCO Institute for Statistics |
SE.SEC.DURS | Secondary education, duration (years) | Duration of secondary education is the number of grades (years) in secondary education (ISCED 2 & 3). | UNESCO Institute for Statistics |
SE.SEC.ENRL | Secondary education, pupils | Enrolment in total secondary. Public and private. All programmes. Total is the total number of students enrolled at public and private secondary education institutions. | UNESCO Institute for Statistics |
SE.SEC.ENRL.FE.ZS | Secondary education, pupils (% female) | Percentage of female students. Total secondary. All programmes is the number of female students enrolled in all secondary education programmes expressed as a percentage of the total number of students (male and female) enrolled at the secondary education | UNESCO Institute for Statistics |
SE.SEC.ENRL.GC | Secondary education, general pupils | Enrolment in total secondary. Public and private. General programmes. Total is the total number of students enrolled in general programmes at public and private secondary education institutions. | UNESCO Institute for Statistics |
SE.SEC.ENRL.GC.FE.ZS | Secondary education, general pupils (% female) | Percentage of female students. Total secondary. General programmes is the number of female students enrolled in general programmes at the secondary education level expressed as a percentage of the total number of students (male and female) enrolled in gen | UNESCO Institute for Statistics |
SE.SEC.ENRL.TC.ZS | Pupil-teacher ratio, secondary | Pupil-teacher ratio. Secondary is the number of pupils enrolled in secondary school divided by the number of secondary school teachers. | UNESCO Institute for Statistics |
SE.SEC.ENRL.VO | Secondary education, vocational pupils | Enrolment in total secondary. Public and private. Technical/vocational programmes. Total is the total number of students enrolled in technical/vocational programmes at public and private secondary education institutions. | UNESCO Institute for Statistics |
SE.SEC.ENRL.VO.FE.ZS | Secondary education, vocational pupils (% female) | Percentage of female students. Total secondary. Technical/vocational programmes is the number of female students enrolled in technical/vocational programmes at the secondary education level expressed as a percentage of the total number of students (male a | UNESCO Institute for Statistics |
SE.SEC.ENRR | School enrollment, secondary (% gross) | Gross enrolment ratio. Secondary. All programmes. Total is the total enrollment in secondary education, regardless of age, expressed as a percentage of the population of official secondary education age. GER can exceed 100% due to the inclusion of over-ag | UNESCO Institute for Statistics |
SE.SEC.ENRR.FE | School enrollment, secondary, female (% gross) | Gross enrolment ratio. Secondary. All programmes. Female is the total female enrollment in secondary education, regardless of age, expressed as a percentage of the female population of official secondary education age. GER can exceed 100% due to the inclu | UNESCO Institute for Statistics |
SE.SEC.ENRR.MA | School enrollment, secondary, male (% gross) | Gross enrolment ratio. Secondary. All programmes. Male is the total male enrollment in secondary education, regardless of age, expressed as a percentage of the male population of official secondary education age. GER can exceed 100% due to the inclusion o | UNESCO Institute for Statistics |
SE.SEC.NENR | School enrollment, secondary (% net) | Net enrolment rate. Secondary. All programmes. Total is the ratio of children of the official secondary school age who are enrolled in secondary school to the population of the official secondary school age. | UNESCO Institute for Statistics |
SE.SEC.NENR.FE | School enrollment, secondary, female (% net) | Net enrolment rate. Secondary. All programmes. Female is the ratio of female children of the official secondary school age who are enrolled in secondary school to the female population of the official secondary school age. | UNESCO Institute for Statistics |
SE.SEC.NENR.MA | School enrollment, secondary, male (% net) | Net enrolment rate. Secondary. All programmes. Male is the ratio of male children of the official secondary school age who are enrolled in secondary school to the male population of the official secondary school age. | UNESCO Institute for Statistics |
SE.SEC.PRIV.ZS | School enrollment, secondary, private (% of total secondary) | Percentage of private enrolment. Secondary is the enrolment in private secondary schools expressed as a percentage of total enrolment (public and private) in secondary schools. 'Private' refers to all educational institutions not operated by a public auth | UNESCO Institute for Statistics |
SE.SEC.PROG.FE.ZS | Progression to secondary school, female (%) | Transition from primary (ISCED 1) to secondary (ISCED 2), general programmes (%). Female is the number of new female entrants to the first grade of secondary education (general programmes only) in a given year, expressed as a percentage of the number of f | UNESCO Institute for Statistics |
SE.SEC.PROG.MA.ZS | Progression to secondary school, male (%) | Transition from primary (ISCED 1) to secondary (ISCED 2), general programmes (%). Male is the number of new male entrants to the first grade of secondary education (general programmes only) in a given year, expressed as a percentage of the number of male | UNESCO Institute for Statistics |
SE.SEC.PROG.ZS | Progression to secondary school (%) | Transition from primary (ISCED 1) to secondary (ISCED 2), general programmes (%). Total is the number of new entrants to the first grade of secondary education (general programmes only) in a given year, expressed as a percentage of the number of pupils en | UNESCO Institute for Statistics |
SE.SEC.REPT.FE.ZS | Repeaters, secondary, female (% of female enrollment) | Percentage of repeaters in secondary. All grades. Female is the number of female students enrolled in the same grade as in the previous year, as a percentage of all female students enrolled in secondary school. It is calculated by dividing the sum of fema | UNESCO Institute for Statistics |
SE.SEC.REPT.MA.ZS | Repeaters, secondary, male (% of male enrollment) | Percentage of repeaters in secondary. All grades. Male is the number of male students enrolled in the same grade as in the previous year, as a percentage of all male students enrolled in secondary school. It is calculated by dividing the sum of male repea | UNESCO Institute for Statistics |
SE.SEC.REPT.ZS | Repeaters, secondary, total (% of total enrollment) | Percentage of repeaters in secondary. All grades. Total is the number of students enrolled in the same grade as in the previous year, as a percentage of all students enrolled in secondary school. It is calculated by dividing the sum of repeaters in all gr | UNESCO Institute for Statistics |
SE.SEC.TCHR | Secondary education, teachers | Teaching staff in total secondary. Public and private. Full and part-time. All programmes. Total is the total number of teachers in public and private secondary education institutions (ISCED 2 and 3). Teachers are persons employed full time or part time i | UNESCO Institute for Statistics |
SE.SEC.TCHR.FE | Secondary education, teachers, female | Teaching staff in total secondary. Public and private. Full and part-time. All programmes. Female is the total number of female teachers in public and private secondary education institutions (ISCED 2 and 3). Teachers are persons employed full time or par | UNESCO Institute for Statistics |
SE.SEC.TCHR.FE.ZS | Secondary education, teachers (% female) | Percentage female teachers. Secondary is the number of female teachers at the secondary level expressed as a percentage of the total number of teachers (male and female) at the secondary level in a given school year. Teachers are persons employed full tim | UNESCO Institute for Statistics |
SE.TER.ENRR | School enrollment, tertiary (% gross) | Gross enrolment ratio. Tertiary (ISCED 5 and 6). Total is the total enrollment in tertiary education (ISCED 5 and 6), regardless of age, expressed as a percentage of the total population of the five-year age group following on from secondary school leavin | UNESCO Institute for Statistics |
SE.TER.ENRR.FE | School enrollment, tertiary, female (% gross) | Gross enrolment ratio. Tertiary (ISCED 5 and 6). Female is the total female enrollment in tertiary education (ISCED 5 and 6), regardless of age, expressed as a percentage of the total female population of the five-year age group following on from secondar | UNESCO Institute for Statistics |
SE.TER.ENRR.MA | School enrollment, tertiary, male (% gross) | Gross enrolment ratio. Tertiary (ISCED 5 and 6). Male is the total male enrollment in tertiary education (ISCED 5 and 6), regardless of age, expressed as a percentage of the total male population of the five-year age group following on from secondary scho | UNESCO Institute for Statistics |
SE.TER.TCHR.FE.ZS | Tertiary education, teachers (% female) | Percentage female teachers. Tertiary is the number of female teachers at the tertiary level expressed as a percentage of the total number of teachers (male and female) at the tertiary level in a given school year. Teachers are persons employed full time o | UNESCO Institute for Statistics |
SE.XPD.PRIM.PC.ZS | Expenditure per student, primary (% of GDP per capita) | Public expenditure per pupil as a % of GDP per capita. Primary is the total public expenditure per student in primary education as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational institu | UNESCO Institute for Statistics |
SE.XPD.PRIM.ZS | Share of public expenditure for primary education (% of public education expenditure) | Educational expenditure in primary as % of total educational expenditure is the percentage of public education expenditure for primary education. Public expenditure (current and capital) includes government spending on educational institutions (both publi | UNESCO Institute for Statistics |
SE.XPD.PTCH.ZS | Spending on teaching materials, primary (% of primary expenditure) | Percentage distribution of public current expenditure by purpose in primary education. Teaching materials is the share of public current expenditure for primary education devoted to teaching materials. | UNESCO Institute for Statistics |
SE.XPD.SECO.PC.ZS | Expenditure per student, secondary (% of GDP per capita) | Public expenditure per pupil as a % of GDP per capita. Secondary is the total public expenditure per student in secondary education as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational ins | UNESCO Institute for Statistics |
SE.XPD.SECO.ZS | Share of public expenditure for secondary education (% of public education expenditure) | Educational expenditure in secondary as % of total educational expenditure is the percentage of public education expenditure for secondary education. Public expenditure (current and capital) includes government spending on educational institutions (both p | UNESCO Institute for Statistics |
SE.XPD.STCH.ZS | Spending on teaching materials, secondary (% of secondary expenditure) | Percentage distribution of public current expenditure by purpose in secondary education. Teaching materials is the share of public current expenditure for secondary education devoted to teaching materials. | UNESCO Institute for Statistics |
SE.XPD.TCHR.XC.ZS | Teachers' salaries (% of current education expenditure) | Educational expenditure on teachers salaries as a % of current education expenditures on public institutions. All Levels is spending on teacher salaries expressed as a percentage of the total current expenditures on education for all educational levels. | UNESCO Institute for Statistics |
SE.XPD.TERT.PC.ZS | Expenditure per student, tertiary (% of GDP per capita) | Public expenditure per pupil as a % of GDP per capita. Tertiary is the total public expenditure per student in tertiary education as a percentage of GDP per capita. Public expenditure (current and capital) includes government spending on educational insti | UNESCO Institute for Statistics |
SE.XPD.TOTL.GB.ZS | Public spending on education, total (% of government expenditure) | Public expenditure on education as % of total government expenditure is the total public education expenditure (current and capital) expressed as a percentage of total government expenditure for all sectors in a given financial year. Public education expe | UNESCO Institute for Statistics |
SE.XPD.TOTL.GD.ZS | Public spending on education, total (% of GDP) | Public expenditure on education as % of GDP is the total public expenditure (current and capital) on education expressed as a percentage of the Gross Domestic Product (GDP) in a given year. Public expenditure on education includes government spending on e | UNESCO Institute for Statistics |
SG.GEN.LSOM.ZS | Female legislators, senior officials and managers (% of total) | Female legislators, senior officials and managers (% of total) refers to the share of legislators, senior officials and managers who are female. | ILO Key Indicators of the Labour Market (KILM). |
SG.GEN.PARL.ZS | Proportion of seats held by women in national parliaments (%) | Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women. | Inter-Parliamentary Union (IPU) (www.ipu.org) |
SH.CON.1524.FE.ZS | Condom use, population ages 15-24, female (% of females ages 15-24) | Condom use is the percentage of the population ages 15-24 who used a condom at last intercourse in the last 12 months. | Demographic and Health Surveys by Macro International. |
SH.CON.1524.MA.ZS | Condom use, population ages 15-24, male (% of males ages 15-24) | Condom use is the percentage of the population ages 15-24 who used a condom at last intercourse in the last 12 months. | Demographic and Health Surveys by Macro International. |
SH.DTH.IMRT | Number of infant deaths | Number of deaths between birth and exactly one year of age. | Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD). |
SH.DTH.MORT | Number of under-five deaths | Number of deaths between birth and exactly one year of age. | Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD). |
SH.DTH.NMRT | Number of neonatal deaths | Number of deaths in the first month of life. | Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD). |
SH.DYN.AIDS.FE.ZS | Women's share of population ages 15+ living with HIV (%) | Prevalence of HIV is the percentage of people who are infected with HIV. Female rate is as a percentage of the total population with HIV. | UNAIDS and the WHO's Report on the Global AIDS Epidemic. |
SH.DYN.AIDS.ZS | Prevalence of HIV, total (% of population ages 15-49) | Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV. | UNAIDS and the WHO's Report on the Global AIDS Epidemic. |
SH.DYN.CHLD.FE | Mortality rate, female child (per 1,000 female children age one) | Child mortality rate is the probability of dying between the exact ages of one and five, if subject to current age-specific mortality rates. The probability is expressed as a rate per 1,000. | Demographic and Health Surveys by Macro International, Multiple Indicators Cluster Surveys by UNICEF, Reproductive Health Surveys by U.S. Center for Disease Control, and Family Health Surveys by Pan Arab Project for Family Health. See footnotes for a sour |
SH.DYN.CHLD.MA | Mortality rate, male child (per 1,000 male children age one) | Child mortality rate is the probability of dying between the exact ages of one and five, if subject to current age-specific mortality rates. The probability is expressed as a rate per 1,000. | Demographic and Health Surveys by Macro International, Multiple Indicators Cluster Surveys by UNICEF, Reproductive Health Surveys by U.S. Center for Disease Control, and Family Health Surveys by Pan Arab Project for Family Health. See footnotes for a sour |
SH.DYN.MORT | Mortality rate, under-5 (per 1,000 live births) | Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to current age-specific mortality rates. | Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD). |
SH.DYN.NMRT | Mortality rate, neonatal (per 1,000 live births) | Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year. | Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD). |
SH.H2O.SAFE.RU.ZS | Improved water source, rural (% of rural population with access) | Access to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwate | World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/). |
SH.H2O.SAFE.UR.ZS | Improved water source, urban (% of urban population with access) | Access to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwate | World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/). |
SH.H2O.SAFE.ZS | Improved water source (% of population with access) | Access to an improved water source refers to the percentage of the population with reasonable access to an adequate amount of water from an improved source, such as a household connection, public standpipe, borehole, protected well or spring, and rainwate | World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/). |
SH.HIV.0014 | Children (0-14) living with HIV | Children living with HIV refers to the number of children ages 0-14 who are infected with HIV. | UNAIDS and the WHO's Report on the Global AIDS Epidemic. |
SH.HIV.1524.FE.ZS | Prevalence of HIV, female (% ages 15-24) | Prevalence of HIV is the percentage of people who are infected with HIV. Youth rates are as a percentage of the relevant age group. | UNAIDS and the WHO's Report on the Global AIDS Epidemic. |
SH.HIV.1524.MA.ZS | Prevalence of HIV, male (% ages 15-24) | Prevalence of HIV is the percentage of people who are infected with HIV. Youth rates are as a percentage of the relevant age group. | UNAIDS and the WHO's Report on the Global AIDS Epidemic. |
SH.HIV.ARTC.ZS | Antiretroviral therapy coverage (% of people with advanced HIV infection) | Antiretroviral therapy coverage indicates the percentage of adults and children with advanced HIV infection currently receiving antiretroviral therapy among the estimated number of people needing antiretroviral therapy based on WHO 2010 guidelines. | UNAIDS and the WHO's Report on the Global AIDS Epidemic. |
SH.IMM.IDPT | Immunization, DPT (% of children ages 12-23 months) | Child immunization measures the percentage of children ages 12-23 months who received vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against diphtheria, pertussis (or whooping cough), and tetanus | WHO and UNICEF (http://www.who.int/immunization_monitoring/routine/en/). |
SH.IMM.MEAS | Immunization, measles (% of children ages 12-23 months) | Child immunization measures the percentage of children ages 12-23 months who received vaccinations before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine. | WHO and UNICEF (http://www.who.int/immunization_monitoring/routine/en/). |
SH.MED.BEDS.ZS | Hospital beds (per 1,000 people) | Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included. | Data after 2005 are extracted from the World Health Statistics Table 6 published by WHO. WHS data is based on PAHO basic indicators 2011. Washington, DC, Pan American Health Organization, 2011 (www.paho.org/English/SHA/coredata/tabulator/newTabulator.htm) |
SH.MED.CMHW.P3 | Community health workers (per 1,000 people) | Community health workers include various types of community health aides, many with country-specific occupational titles such as community health officers, community health-education workers, family health workers, lady health visitors and health extensio | World Health Organization, OECD, supplemented by country data. |
SH.MED.NUMW.P3 | Nurses and midwives (per 1,000 people) | Nurses and midwives include professional nurses, professional midwives, auxiliary nurses, auxiliary midwives, enrolled nurses, enrolled midwives and other associated personnel, such as dental nurses and primary care nurses. | World Health Organization, Global Atlas of the Health Workforce. For latest updates and metadata, see http://apps.who.int/globalatlas/. |
SH.MED.PHYS.ZS | Physicians (per 1,000 people) | Physicians include generalist and specialist medical practitioners. | World Health Organization, Global Atlas of the Health Workforce. For latest updates and metadata, see http://apps.who.int/globalatlas/. |
SH.MLR.INCD | Notified cases of malaria (per 100,000 people) | Malaria incidence is expressed as the number of new cases of malaria per 100,000 people each year. The number of cases reported is adjusted to take into account incompleteness in reporting systems, patients seeking treatment in the private sector, self-me | World Health Organization. |
SH.MLR.NETS.ZS | Use of insecticide-treated bed nets (% of under-5 population) | Use of insecticide-treated bed nets refers to the percentage of children under age five who slept under an insecticide-treated bednet to prevent malaria. | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.MLR.TRET.ZS | Children with fever receiving antimalarial drugs (% of children under age 5 with fever) | Malaria treatment refers to the percentage of children under age five who were ill with fever in the last two weeks and received any appropriate (locally defined) anti-malarial drugs. | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.MMR.DTHS | Number of maternal deaths | Maternal mortality deaths is the number of women who die during pregnancy and childbirth. | Trends in Maternal Mortality: 1990-2010. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank. |
SH.MMR.RISK | Lifetime risk of maternal death (1 in: rate varies by country) | Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account | Trends in Maternal Mortality: 1990-2010. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank. |
SH.MMR.RISK.ZS | Lifetime risk of maternal death (%) | Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account | Trends in Maternal Mortality: 1990-2010. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank. |
SH.PRV.SMOK.FE | Smoking prevalence, females (% of adults) | Prevalence of smoking, female is the percentage of women ages 15 and over who smoke any form of tobacco, including cigarettes, cigars, and pipes, and excluding smokeless tobacco. Data include daily and non-daily smoking. | WHO Report on the Global Tobacco Epidemic. |
SH.PRV.SMOK.MA | Smoking prevalence, males (% of adults) | Prevalence of smoking, male is the percentage of men ages 15 and over who smoke any form of tobacco, including cigarettes, cigars, and pipes, and excluding smokeless tobacco. Data include daily and non-daily smoking. | WHO Report on the Global Tobacco Epidemic. |
SH.STA.ACSN | Improved sanitation facilities (% of population with access) | Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from si | World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/). |
SH.STA.ACSN.RU | Improved sanitation facilities, rural (% of rural population with access) | Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from si | World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/). |
SH.STA.ACSN.UR | Improved sanitation facilities, urban (% of urban population with access) | Access to improved sanitation facilities refers to the percentage of the population with at least adequate access to excreta disposal facilities that can effectively prevent human, animal, and insect contact with excreta. Improved facilities range from si | World Health Organization and United Nations Children's Fund, Joint Measurement Programme (JMP) (http://www.wssinfo.org/). |
SH.STA.ANVC.ZS | Pregnant women receiving prenatal care (%) | Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy. | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.STA.ARIC.ZS | ARI treatment (% of children under 5 taken to a health provider) | Children with acute respiratory infection (ARI) who are taken to a health provider refers to the percentage of children under age five with ARI in the last two weeks who were taken to an appropriate health provider, including hospital, health center, disp | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.STA.BFED.ZS | Exclusive breastfeeding (% of children under 6 months) | Exclusive breastfeeding refers to the percentage of children less than six months old who are fed breast milk alone (no other liquids) in the past 24 hours. | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.STA.BRTC.ZS | Births attended by skilled health staff (% of total) | Births attended by skilled health staff are the percentage of deliveries attended by personnel trained to give the necessary supervision, care, and advice to women during pregnancy, labor, and the postpartum period; to conduct deliveries on their own; and | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.STA.BRTW.ZS | Low-birthweight babies (% of births) | Low-birthweight babies are newborns weighing less than 2,500 grams, with the measurement taken within the first hours of life, before significant postnatal weight loss has occurred. | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.STA.MALN.ZS | Malnutrition prevalence, weight for age (% of children under 5) | Prevalence of child malnutrition is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child gr | World Health Organization, Global Database on Child Growth and Malnutrition. Aggregation is based on UNICEF/WHO Joint Global Malnutrition Analysis Date Set 2011, and additional analysis by UNICEF. |
SH.STA.MMRT | Maternal mortality ratio (modeled estimate, per 100,000 live births) | Maternal mortality ratio is the number of women who die during pregnancy and childbirth, per 100,000 live births. The data are estimated with a regression model using information on fertility, birth attendants, and HIV prevalence. | Trends in Maternal Mortality: 1990-2010. Estimates Developed by WHO, UNICEF, UNFPA and the World Bank. |
SH.STA.MMRT.NE | Maternal mortality ratio (national estimate, per 100,000 live births) | Maternal mortality ratio is the number of women who die during pregnancy and childbirth, per 100,000 live births. | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.STA.ORCF.ZS | Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) | Children with diarrhea who received oral rehydration and continued feeding refer to the percentage of children under age five with diarrhea in the two weeks prior to the survey who received either oral rehydration therapy or increased fluids, with continu | UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys by Macro International. |
SH.STA.OWGH.ZS | Prevalence of overweight (% of children under 5) | Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new c | World Health Organization, Global Database on Child Growth and Malnutrition. |
SH.STA.STNT.ZS | Malnutrition prevalence, height for age (% of children under 5) | Prevalence of child malnutrition is the percentage of children under age 5 whose height for age (stunting) is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old | World Health Organization, Global Database on Child Growth and Malnutrition. |
SH.STA.WAST.ZS | Prevalence of wasting (% of children under 5) | Wasting prevalence is the proportion of children under five whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59. | World Health Organization, Global Database on Child Growth and Malnutrition. |
SH.TBS.CURE.ZS | Tuberculosis treatment success rate (% of registered cases) | Tuberculosis treatment success rate is the percentage of new, registered smear-positive (infectious) cases that were cured or in which a full course of treatment was completed. | World Health Organization, Global Tuberculosis Control Report. |
SH.TBS.DTEC.ZS | Tuberculosis case detection rate (%, all forms) | Tuberculosis case detection rate (all forms) is the percentage of newly notified tuberculosis cases (including relapses) to estimated incident cases (case detection, all forms). | World Health Organization, Global Tuberculosis Control Report. |
SH.TBS.INCD | Incidence of tuberculosis (per 100,000 people) | Incidence of tuberculosis is the estimated number of new pulmonary, smear positive, and extra-pulmonary tuberculosis cases. Incidence includes patients with HIV. | World Health Organization, Global Tuberculosis Report. |
SH.VAC.TTNS.ZS | Newborns protected against tetanus (%) | Newborns protected against tetanus are the percentage of births by women of child-bearing age who are immunized against tetanus. | UNICEF, State of the World's Children, Childinfo. |
SH.VST.OUTP | Outpatient visits per capita | Outpatient visits per capita are the number of visits to health care facilities per capita, including repeat visits. | WHO, OECD and supplemented by country data. |
SH.XPD.EXTR.ZS | External resources for health (% of total expenditure on health) | External resources for health are funds or services in kind that are provided by entities not part of the country in question. The resources may come from international organizations, other countries through bilateral arrangements, or foreign nongovernmen | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.OOPC.TO.ZS | Out-of-pocket health expenditure (% of total expenditure on health) | Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute t | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.OOPC.ZS | Out-of-pocket health expenditure (% of private expenditure on health) | Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute t | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.PCAP | Health expenditure per capita (current US$) | Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designa | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.PCAP.PP.KD | Health expenditure per capita, PPP (constant 2005 international $) | Total health expenditure is the sum of public and private health expenditures as a ratio of total population. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designa | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.PRIV.ZS | Health expenditure, private (% of GDP) | Private health expenditure includes direct household (out-of-pocket) spending, private insurance, charitable donations, and direct service payments by private corporations. | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.PUBL | Health expenditure, public (% of total health expenditure) | Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.PUBL.GX.ZS | Health expenditure, public (% of government expenditure) | Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.PUBL.ZS | Health expenditure, public (% of GDP) | Public health expenditure consists of recurrent and capital spending from government (central and local) budgets, external borrowings and grants (including donations from international agencies and nongovernmental organizations), and social (or compulsory | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SH.XPD.TOTL.ZS | Health expenditure, total (% of GDP) | Total health expenditure is the sum of public and private health expenditure. It covers the provision of health services (preventive and curative), family planning activities, nutrition activities, and emergency aid designated for health but does not incl | World Health Organization National Health Account database (see http://apps.who.int/nha/database for the most recent updates). |
SI.DST.02ND.20 | Income share held by second 20% | Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.DST.03RD.20 | Income share held by third 20% | Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.DST.04TH.20 | Income share held by fourth 20% | Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.DST.05TH.20 | Income share held by highest 20% | Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.DST.10TH.10 | Income share held by highest 10% | Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.DST.FRST.10 | Income share held by lowest 10% | Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.DST.FRST.20 | Income share held by lowest 20% | Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.POV.2DAY | Poverty headcount ratio at $2 a day (PPP) (% of population) | Population below $2 a day is the percentage of the population living on less than $2.00 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates report | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.POV.DDAY | Poverty headcount ratio at $1.25 a day (PPP) (% of population) | Population below $1.25 a day is the percentage of the population living on less than $1.25 a day at 2005 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates rep | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.POV.GAP2 | Poverty gap at $2 a day (PPP) (%) | Poverty gap is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.POV.GAPS | Poverty gap at $1.25 a day (PPP) (%) | Poverty gap is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall), expressed as a percentage of the poverty line. This measure reflects the depth of poverty as well as its incidence. | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For mor |
SI.POV.GINI | GINI index | Gini index measures the extent to which the distribution of income or consumption expenditure among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income r | World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldban |
SI.POV.NAGP | Poverty gap at national poverty line (%) | Poverty gap at national poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage ofthe poverty line. This measure reflects the depth of poverty as well as its incidence. | Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies. |
SI.POV.NAHC | Poverty headcount ratio at national poverty line (% of population) | National poverty rate is the percentage of the population living below the national poverty line. National estimates are based on population-weighted subgroup estimates from household surveys. | Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies. |
SI.POV.RUGP | Poverty gap at rural poverty line (%) | Poverty gap at rural poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage ofthe national rural poverty line. This measure reflects the depth of poverty as well as its incidence. | Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies. |
SI.POV.RUHC | Poverty headcount ratio at rural poverty line (% of rural population) | Rural poverty rate is the percentage of the rural population living below the national rural poverty line. | Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies. |
SI.POV.URGP | Poverty gap at urban poverty line (%) | Poverty gap at urban poverty line is the mean shortfall from the poverty line (counting the nonpoor as having zero shortfall) as a percentage ofthe national urban poverty line. This measure reflects the depth of poverty as well as its incidence. | Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies. |
SI.POV.URHC | Poverty headcount ratio at urban poverty line (% of urban population) | Urban poverty rate is the percentage of the urban population living below the national urban poverty line. | Global Poverty Working Group. Data are based on World Bank's country poverty assessments and country Poverty Reduction Strategies. |
SL.AGR.0714.FE.ZS | Child employment in agriculture, female (% of female economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.AGR.0714.MA.ZS | Child employment in agriculture, male (% of male economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.AGR.0714.ZS | Child employment in agriculture (% of economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Agriculture corresponds to division 1 (ISIC revision 2) or categories A and B (ISIC revision 3) | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.AGR.EMPL.FE.ZS | Employees, agriculture, female (% of female employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revisio | International Labour Organization, Key Indicators of the Labour Market database. |
SL.AGR.EMPL.MA.ZS | Employees, agriculture, male (% of male employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revisio | International Labour Organization, Key Indicators of the Labour Market database. |
SL.AGR.EMPL.ZS | Employment in agriculture (% of total employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Agriculture corresponds to division 1 (ISIC revision 2) or tabulation categories A and B (ISIC revisio | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.1524.SP.FE.ZS | Employment to population ratio, ages 15-24, female (%) | Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.1524.SP.MA.ZS | Employment to population ratio, ages 15-24, male (%) | Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.1524.SP.ZS | Employment to population ratio, ages 15-24, total (%) | Employment to population ratio is the proportion of a country's population that is employed. Ages 15-24 are generally considered the youth population. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.INSV.FE.ZS | Share of women employed in the nonagricultural sector (% of total nonagricultural employment) | Share of women employed in the nonagricultural sector is the share of female workers in the nonagricultural sector (industry and services), expressed as a percentage of total employment in the nonagricultural sector. Industry includes mining and quarrying | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.MPYR.FE.ZS | Employers, female (% of employment) | Employers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods an | ILO Key Indicators of the Labour Market (KILM). |
SL.EMP.MPYR.MA.ZS | Employers, male (% of employment) | Employers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods an | ILO Key Indicators of the Labour Market (KILM). |
SL.EMP.MPYR.ZS | Employers, total (% of employment) | Employers refers are those workers who, working on their own account or with one or a few partners, hold the type of jobs defined as a "self-employment jobs" i.e. jobs where the remuneration is directly dependent upon the profits derived from the goods an | ILO Key Indicators of the Labour Market (KILM). |
SL.EMP.SELF.FE.ZS | Self-employed, female (% of females employed) | Self employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs" (i.e. jobs where the remuneration is directly dependent upon the profits d | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.SELF.MA.ZS | Self-employed, male (% of males employed) | Self employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs" (i.e. jobs where the remuneration is directly dependent upon the profits d | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.SELF.ZS | Self-employed, total (% of total employed) | Self employed workers are those workers who, working on their own account or with one or a few partners or in cooperative, hold the type of jobs defined as a "self-employment jobs" (i.e. jobs where the remuneration is directly dependent upon the profits d | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.TOTL | Total employment, total (ages 15+) | Total employment shows the total number employed ages 15 and over. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.TOTL.SP.FE.ZS | Employment to population ratio, 15+, female (%) | Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.TOTL.SP.MA.ZS | Employment to population ratio, 15+, male (%) | Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.TOTL.SP.ZS | Employment to population ratio, 15+, total (%) | Employment to population ratio is the proportion of a country's population that is employed. Ages 15 and older are generally considered the working-age population. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.VULN.FE.ZS | Vulnerable employment, female (% of female employment) | Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.VULN.MA.ZS | Vulnerable employment, male (% of male employment) | Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.VULN.ZS | Vulnerable employment, total (% of total employment) | Vulnerable employment is unpaid family workers and own-account workers as a percentage of total employment. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.WORK.FE.ZS | Wage and salaried workers, female (% of females employed) | Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not dire | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.WORK.MA.ZS | Wage and salary workers, male (% of males employed) | Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not dire | International Labour Organization, Key Indicators of the Labour Market database. |
SL.EMP.WORK.ZS | Wage and salaried workers, total (% of total employed) | Wage and salaried workers (employees) are those workers who hold the type of jobs defined as "paid employment jobs," where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not dire | International Labour Organization, Key Indicators of the Labour Market database. |
SL.FAM.WORK.FE.ZS | Contributing family workers, female (% of females employed) | Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.FAM.WORK.MA.ZS | Contributing family workers, male (% of males employed) | Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.FAM.WORK.ZS | Contributing family workers, total (% of total employed) | Contributing family workers are those workers who hold "self-employment jobs" as own-account workers in a market-oriented establishment operated by a related person living in the same household. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.GDP.PCAP.EM.KD | GDP per person employed (constant 1990 PPP $) | GDP per person employed is gross domestic product (GDP) divided by total employment in the economy. Purchasing power parity (PPP) GDP is GDP converted to 1990 constant international dollars using PPP rates. An international dollar has the same purchasing | International Labour Organization, Key Indicators of the Labour Market database. |
SL.IND.EMPL.FE.ZS | Employees, industry, female (% of female employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) | International Labour Organization, Key Indicators of the Labour Market database. |
SL.IND.EMPL.MA.ZS | Employees, industry, male (% of male employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) | International Labour Organization, Key Indicators of the Labour Market database. |
SL.IND.EMPL.ZS | Employment in industry (% of total employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Industry corresponds to divisions 2-5 (ISIC revision 2) or tabulation categories C-F (ISIC revision 3) | International Labour Organization, Key Indicators of the Labour Market database. |
SL.MNF.0714.FE.ZS | Child employment in manufacturing, female (% of female economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Econo | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.MNF.0714.MA.ZS | Child employment in manufacturing, male (% of male economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Econo | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.MNF.0714.ZS | Child employment in manufacturing (% of economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Manufacturing corresponds to division 3 (ISIC revision 2) or category D (ISIC revision 3). Econo | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.SRV.0714.FE.ZS | Child employment in services, female (% of female economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and i | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.SRV.0714.MA.ZS | Child employment in services, male (% of male economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and i | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.SRV.0714.ZS | Child employment in services (% of economically active children ages 7-14) | Employment by economic activity refers to the distribution of economically active children by the major industrial categories (ISIC revision 2 or revision 3). Services correspond to divisions 6-9 (ISIC revision 2) or categories G-P (ISIC revision 3) and i | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.SRV.EMPL.FE.ZS | Employees, services, female (% of female employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) | International Labour Organization, Key Indicators of the Labour Market database. |
SL.SRV.EMPL.MA.ZS | Employees, services, male (% of male employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) | International Labour Organization, Key Indicators of the Labour Market database. |
SL.SRV.EMPL.ZS | Employment in services (% of total employment) | Employees are people who work for a public or private employer and receive remuneration in wages, salary, commission, tips, piece rates, or pay in kind. Services correspond to divisions 6-9 (ISIC revision 2) or tabulation categories G-P (ISIC revision 3) | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.0714.FE.ZS | Children in employment, female (% of female children ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.0714.MA.ZS | Children in employment, male (% of male children ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.0714.SW.FE.ZS | Children in employment, study and work, female (% of female children in employment, ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.0714.SW.MA.ZS | Children in employment, study and work, male (% of male children in employment, ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.0714.SW.ZS | Children in employment, study and work (% of children in employment, ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.0714.WK.FE.ZS | Children in employment, work only, female (% of female children in employment, ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.0714.WK.MA.ZS | Children in employment, work only, male (% of male children in employment, ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Work only refers to children involved in economic activity and not attending school. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.0714.WK.ZS | Children in employment, work only (% of children in employment, ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.0714.ZS | Children in employment, total (% of children ages 7-14) | Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey. Study and work refer to children attending school in combination with economic activity. | Understanding Children's Work project based on data from ILO, UNICEF and the World Bank. |
SL.TLF.ACTI.1524.FE.ZS | Labor force participation rate, female (% of female population ages 15-24) | Labor force participation rate is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. The participation rates are harmonized to account f | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.ACTI.1524.MA.ZS | Labor force participation rate, male (% of male population ages 15-24) | Labor force participation rate is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. The participation rates are harmonized to account f | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.ACTI.1524.ZS | Labor force participation rate, total (% of total population ages 15-24) | Labor force participation rate is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period. The participation rates are harmonized to account f | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.ACTI.FE.ZS | Labor force participation rate, female (% of female population ages 15-64) | Labor force participation rate, female (% of female population ages 15-64) | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.ACTI.MA.ZS | Labor force participation rate, male (% of male population ages 15-64) | Labor force participation rate, male (% of male population ages 15-64) | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.ACTI.ZS | Labor force participation rate, total (% of total population ages 15-64) | Labor force participation rate is the proportion of the population ages 15-64 that is economically active: all people who supply labor for the production of goods and services during a specified period. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.CACT.FE.ZS | Labor participation rate, female (% of female population ages 15+) | Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.CACT.FM.ZS | Ratio of female to male labor force participation rate (%) | Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.CACT.MA.ZS | Labor participation rate, male (% of male population ages 15+) | Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.CACT.ZS | Labor participation rate, total (% of total population ages 15+) | Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.PART.FE.ZS | Part time employment, female (% of total female employment) | Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.PART.MA.ZS | Part time employment, male (% of total male employment) | Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.PART.TL.FE.ZS | Part time employment, female (% of total part time employment) | Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.PART.ZS | Part time employment, total (% of total employment) | Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.PRIM.FE.ZS | Labor force with primary education, female (% of female labor force) | Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.PRIM.MA.ZS | Labor force with primary education, male (% of male labor force) | Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.PRIM.ZS | Labor force with primary education (% of total) | Labor force with primary education is the proportion of the labor force that has a primary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.SECO.FE.ZS | Labor force with secondary education, female (% of female labor force) | Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.SECO.MA.ZS | Labor force with secondary education, male (% of male labor force) | Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.SECO.ZS | Labor force with secondary education (% of total) | Labor force with secondary education is the proportion of the labor force that has a secondary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.TERT.FE.ZS | Labor force with tertiary education, female (% of female labor force) | Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.TERT.MA.ZS | Labor force with tertiary education, male (% of male labor force) | Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.TERT.ZS | Labor force with tertiary education (% of total) | Labor force with tertiary education is the proportion of labor force that has a tertiary education, as a percentage of the total labor force. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.TOTL.FE.ZS | Labor force, female (% of total labor force) | Female labor force as a percentage of the total show the extent to which women are active in the labor force. Labor force comprises people ages 15 and older who meet the International Labour Organization's definition of the economically active population. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.TLF.TOTL.IN | Labor force, total | Total labor force comprises people ages 15 and older who meet the International Labour Organization definition of the economically active population: all people who supply labor for the production of goods and services during a specified period. It includ | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.1524.FE.ZS | Unemployment, youth female (% of female labor force ages 15-24) | Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.1524.MA.ZS | Unemployment, youth male (% of male labor force ages 15-24) | Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.1524.ZS | Unemployment, youth total (% of total labor force ages 15-24) | Youth unemployment refers to the share of the labor force ages 15-24 without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.LTRM.FE.ZS | Long-term unemployment, female (% of female unemployment) | Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.LTRM.MA.ZS | Long-term unemployment, male (% of male unemployment) | Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.LTRM.ZS | Long-term unemployment (% of total unemployment) | Long-term unemployment refers to the number of people with continuous periods of unemployment extending for a year or longer, expressed as a percentage of the total unemployed. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.PRIM.FE.ZS | Unemployment with primary education, female (% of female unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.PRIM.MA.ZS | Unemployment with primary education, male (% of male unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.PRIM.ZS | Unemployment with primary education (% of total unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.SECO.FE.ZS | Unemployment with secondary education, female (% of female unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.SECO.MA.ZS | Unemployment with secondary education, male (% of male unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.SECO.ZS | Unemployment with secondary education (% of total unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.TERT.FE.ZS | Unemployment with tertiary education, female (% of female unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.TERT.MA.ZS | Unemployment with tertiary education, male (% of male unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.TERT.ZS | Unemployment with tertiary education (% of total unemployment) | Unemployment by level of educational attainment shows the unemployed by level of educational attainment, as a percentage of the unemployed. The levels of educational attainment accord with the International Standard Classification of Education 1997 of the | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.TOTL.FE.ZS | Unemployment, female (% of female labor force) | Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.TOTL.MA.ZS | Unemployment, male (% of male labor force) | Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SL.UEM.TOTL.ZS | Unemployment, total (% of total labor force) | Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country. | International Labour Organization, Key Indicators of the Labour Market database. |
SM.EMI.TERT.ZS | Emigration rate of tertiary educated (% of total tertiary educated population) | Emigration rate of tertiary educated shows the stock of emigrants ages 25 and older, residing in an OECD country other than that in which they were born, with at least one year of tertiary education as a percentage of the population age 25 and older with | Frédéric Docquier, B. Lindsay Lowell, and Abdeslam Marfouk's , "A Gendered Assessment of Highly Skilled Emigration" (2009). |
SM.POP.NETM | Net migration | Net migration is the net total of migrants during the period, that is, the total number of immigrants less the annual number of emigrants, including both citizens and noncitizens. Data are five-year estimates. To derive estimates of net migration, the Uni | United Nations Population Division, World Population Prospects. |
SM.POP.REFG | Refugee population by country or territory of asylum | Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people re | United Nations High Commissioner for Refugees (UNHCR), Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.o |
SM.POP.REFG.OR | Refugee population by country or territory of origin | Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people re | United Nations High Commissioner for Refugees (UNHCR), Statistical Yearbook and data files, complemented by statistics on Palestinian refugees under the mandate of the UNRWA as published on its website. Data from UNHCR are available online at: www.unhcr.o |
SM.POP.TOTL | International migrant stock, total | International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuse | United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision. |
SM.POP.TOTL.ZS | International migrant stock (% of population) | International migrant stock is the number of people born in a country other than that in which they live. It also includes refugees. The data used to estimate the international migrant stock at a particular time are obtained mainly from population censuse | United Nations Population Division, Trends in Total Migrant Stock: 2008 Revision. |
SN.ITK.DEFC.ZS | Prevalence of undernourishment (% of population) | Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 2. | Food and Agriculture Organization (http://www.fao.org/faostat/foodsecurity/index_en.htm). |
SN.ITK.DPTH | Depth of hunger (kilocalories per person per day) | Depth of hunger or the intensity of food deprivation, indicates how much food-deprived people fall short of minimum food needs in terms of dietary energy. The food deficit, in kilocalories per person per day, is measured by comparing the average amount of | Food and Agriculture Organization, Food Security Statistics (http://www.fao.org/economic/ess/food-security-statistics/en/). |
SN.ITK.SALT.ZS | Consumption of iodized salt (% of households) | Consumption of iodized salt refers to the percentage of households that use edible salt fortified with iodine. | United Nations Children's Fund, State of the World's Children. |
SN.ITK.VITA.ZS | Vitamin A supplementation coverage rate (% of children ages 6-59 months) | Vitamin A supplementation refers to the percentage of children ages 6-59 months old who received at least one high-dose vitamin A capsule in the previous six months. | United Nations Children's Fund, State of the World's Children. |
SP.ADO.TFRT | Adolescent fertility rate (births per 1,000 women ages 15-19) | Adolescent fertility rate is the number of births per 1,000 women ages 15-19. | United Nations Population Division, World Population Prospects. |
SP.DTH.INFR.ZS | Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths) | Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Popula | The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects. |
SP.DTH.REPT.ZS | Completeness of total death reporting (% of reported total deaths to estimated total deaths) | Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Populatio | The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects. |
SP.DYN.AMRT.FE | Mortality rate, adult, female (per 1,000 female adults) | Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages. | (1) United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm, (2) University of California, Be |
SP.DYN.AMRT.MA | Mortality rate, adult, male (per 1,000 male adults) | Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages. | (1) United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm, (2) University of California, Be |
SP.DYN.CBRT.IN | Birth rate, crude (per 1,000 people) | Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of popu | (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, ( |
SP.DYN.CDRT.IN | Death rate, crude (per 1,000 people) | Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of populatio | (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, ( |
SP.DYN.CONU.ZS | Contraceptive prevalence (% of women ages 15-49) | Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for married women ages 15-49 only. | Household surveys, including Demographic and Health Surveys by Macro International and Multiple Indicator Cluster Surveys by UNICEF. |
SP.DYN.IMRT.IN | Mortality rate, infant (per 1,000 live births) | Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year. | Level & Trends in Child Mortality. Report 2011. Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA, UNPD). |
SP.DYN.LE00.FE.IN | Life expectancy at birth, female (years) | Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. | (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, ( |
SP.DYN.LE00.IN | Life expectancy at birth, total (years) | Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. | Derived from male and female life expectancy at birth from sources such as: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census rep |
SP.DYN.LE00.MA.IN | Life expectancy at birth, male (years) | Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. | (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, ( |
SP.DYN.TFRT.IN | Fertility rate, total (births per woman) | Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with current age-specific fertility rates. | (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, ( |
SP.DYN.TO65.FE.ZS | Survival to age 65, female (% of cohort) | Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to current age specific mortality rates. | United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm. |
SP.DYN.TO65.MA.ZS | Survival to age 65, male (% of cohort) | Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to current age specific mortality rates. | United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm. |
SP.DYN.WFRT | Wanted fertility rate (births per woman) | Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided. | Demographic and Health Surveys by Macro International. |
SP.HOU.FEMA.ZS | Female headed households (% of households with a female head) | Female headed households shows the percentage of households with a female head. | Demographic and Health Surveys by Macro International. |
SP.MTR.1519.ZS | Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) | Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant. | Demographic and Health Surveys by Macro International. |
SP.POP.0014.FE.IN | Population ages 0-14, female | Population ages 0-14, female | World Bank estimates using ratio from UN World Population Prospects and World Bank's population. |
SP.POP.0014.FE.ZS | Population ages 0-14, female (% of total) | Female population between the ages 0 to 14 as a percentage of the total female population. Population is based on the de facto definition of population. | The United Nations Population Division's World Population Prospects. |
SP.POP.0014.MA.IN | Population ages 0-14, male | Population, age 0-14, male is the male population between the ages of 0 and 14. | The United Nations Population Division's World Population Prospects. |
SP.POP.0014.MA.ZS | Population ages 0-14, male (% of total) | Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population. | The United Nations Population Division's World Population Prospects. |
SP.POP.0014.TO | Population ages 0-14, total | Population, age 0-14, female is the total population between the ages of 0 and 14. | The United Nations Population Division's World Population Prospects. |
SP.POP.0014.TO.ZS | Population ages 0-14 (% of total) | Population, age 0-14 (% of total) is the population between the ages of 0 and 14 as a percentage of the total population. | The United Nations Population Division's World Population Prospects. |
SP.POP.1564.FE.IN | Population ages 15-64, female | Population ages 15-64, female | World Bank estimates using ratio from UN World Population Prospects and World Bank's population. |
SP.POP.1564.FE.ZS | Population ages 15-64, female (% of total) | Female population between the ages 15 to 64 is the number of females who could potentially be economically active. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except f | The United Nations Population Division's World Population Prospects. |
SP.POP.1564.MA.IN | Population ages 15-64, male | Population ages 15-64, male | World Bank estimates using ratio from UN World Population Prospects and World Bank's population. |
SP.POP.1564.MA.ZS | Population ages 15-64, male (% of total) | Male population between the ages 15 to 64 is the number of males who could potentially be economically active. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for r | The United Nations Population Division's World Population Prospects. |
SP.POP.1564.TO | Population ages 15-64, total | Population ages 15-64, total | The United Nations Population Division's World Population Prospects. |
SP.POP.1564.TO.ZS | Population ages 15-64 (% of total) | Population, age 15-64 (% of total) is the population between the ages of 15 and 64 as a percentage of the total population. | The United Nations Population Division's World Population Prospects. |
SP.POP.65UP.FE.IN | Population ages 65 and above, female | Population ages 65 and above, female | World Bank estimates using ratio from UN World Population Prospects and World Bank's population. |
SP.POP.65UP.FE.ZS | Population ages 65 and above, female (% of total) | Female population 65 years of age or older as a percentage of the total female population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanen | The United Nations Population Division's World Population Prospects. |
SP.POP.65UP.MA.IN | Population ages 65 and above, male | Male population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are gen | World Bank staff estimates using the World Bank's population and the United Nations Population Division's World Population Prospects. The World Bank's population estimates are from various sources including the United Nations Population Division's World P |
SP.POP.65UP.MA.ZS | Population ages 65 and above, male (% of total) | Male population 65 years of age or older as a percentage of the total male population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently | The United Nations Population Division's World Population Prospects. |
SP.POP.65UP.TO | Population ages 65 and above, total | Total population 65 years of age or older. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are ge | World Bank staff estimates using the World Bank's population and the United Nations Population Division's World Population Prospects. The World Bank's population estimates are from various sources including the United Nations Population Division's World P |
SP.POP.65UP.TO.ZS | Population ages 65 and above (% of total) | Population ages 65 and above as a percentage of the total population. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the co | The United Nations Population Division's World Population Prospects. |
SP.POP.DPND | Age dependency ratio (% of working-age population) | Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. | World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International. |
SP.POP.DPND.OL | Age dependency ratio, old (% of working-age population) | Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. | World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International. |
SP.POP.DPND.YG | Age dependency ratio, young (% of working-age population) | Age dependency ratio, young, is the ratio of younger dependents--people younger than 15--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population. | World Bank staff estimates from various sources including census reports, the United Nations Population Division's World Population Prospects, national statistical offices, household surveys conducted by national agencies, and Macro International. |
SP.POP.GROW | Population growth (annual %) | Population growth (annual %) is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage. | Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical |
SP.POP.SCIE.RD.P6 | Researchers in R&D (per million people) | Researchers in R&D are professionals engaged in the conception or creation of new knowledge, products, processes, methods, or systems and in the management of the projects concerned. Postgraduate PhD students (ISCED97 level 6) engaged in R&D are included. | United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. |
SP.POP.TECH.RD.P6 | Technicians in R&D (per million people) | Technicians in R&D and equivalent staff are people whose main tasks require technical knowledge and experience in engineering, physical and life sciences (technicians), or social sciences and humanities (equivalent staff). They participate in R&D by perfo | United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics. |
SP.POP.TOTL | Population, total | Population, total refers to the total population. | (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (3) Census reports and other statistical publications from national statistical offices, ( |
SP.POP.TOTL.FE.IN | Population, female | Population, female | World Bank estimates using ratio from UN World Population Prospects and World Bank's population. |
SP.POP.TOTL.FE.ZS | Population, female (% of total) | Population, female (% of total) is the percentage of the population that is female. | The United Nations Population Division's World Population Prospects. |
SP.POP.TOTL.MA.IN | Population, male | Population, male refers to the total male population. | Derived from data on total population and population, male (% of total). Population source: (1) United Nations Population Division. 2009. World Population Prospects: The 2008 Revision. New York, United Nations, Department of Economic and Social Affairs ( |
SP.POP.TOTL.MA.ZS | Population, male (% of total) | Population, male (% of total) is the percentage of the population that is male. | The United Nations Population Division's World Population Prospects. |
SP.REG.BRTH.RU.ZS | Completeness of birth registration, rural (%) | Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer | UNICEF's State of the World's Children based mostly on household surveys and ministry of health data. |
SP.REG.BRTH.UR.ZS | Completeness of birth registration, urban (%) | Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer | UNICEF's State of the World's Children based mostly on household surveys and ministry of health data. |
SP.REG.BRTH.ZS | Completeness of birth registration (%) | Completeness of birth registration is the percentage of children under age 5 whose births were registered at the time of the survey. The numerator of completeness of birth registration includes children whose birth certificate was seen by the interviewer | UNICEF's State of the World's Children based mostly on household surveys and ministry of health data. |
SP.RUR.TOTL | Rural population | Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. | The data on urban population shares used to estimate rural population come from the United Nations, World Urbanization Prospects. Total population figures are World Bank estimates. |
SP.RUR.TOTL.ZG | Rural population growth (annual %) | Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. | World Bank Staff estimates based on United Nations, World Urbanization Prospects. |
SP.RUR.TOTL.ZS | Rural population (% of total population) | Rural population refers to people living in rural areas as defined by national statistical offices. It is calculated as the difference between total population and urban population. | World Bank Staff estimates based on United Nations, World Urbanization Prospects. |
SP.URB.GROW | Urban population growth (annual %) | Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. | World Bank Staff estimates based on United Nations, World Urbanization Prospects. |
SP.URB.TOTL | Urban population | Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. | World Bank Staff estimates based on United Nations, World Urbanization Prospects. |
SP.URB.TOTL.IN.ZS | Urban population (% of total) | Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. | United Nations, World Urbanization Prospects. |
SP.UWT.TFRT | Unmet need for contraception (% of married women ages 15-49) | Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception. | Household surveys, including Demographic and Health Surveys by Macro International and Multiple Indicator Cluster Surveys by UNICEF. |
ST.INT.ARVL | International tourism, number of arrivals | International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpo | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files. |
ST.INT.DPRT | International tourism, number of departures | International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the n | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files. |
ST.INT.RCPT.CD | International tourism, receipts (current US$) | International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination coun | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files. |
ST.INT.RCPT.XP.ZS | International tourism, receipts (% of total exports) | International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination coun | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank exports estimates. |
ST.INT.TRNR.CD | International tourism, receipts for passenger transport items (current US$) | International tourism receipts for passenger transport items are expenditures by international inbound visitors for all services provided in the international transportation by resident carriers. Also included are passenger services performed within an ec | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files. |
ST.INT.TRNX.CD | International tourism, expenditures for passenger transport items (current US$) | International tourism expenditures for passenger transport items are expenditures of international outbound visitors in other countries for all services provided during international transportation by nonresident carriers. Also included are passenger serv | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files. |
ST.INT.TVLR.CD | International tourism, receipts for travel items (current US$) | International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to us | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files. |
ST.INT.TVLX.CD | International tourism, expenditures for travel items (current US$) | International tourism expenditures are expenditures of international outbound visitors in other countries. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. Th | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files. |
ST.INT.XPND.CD | International tourism, expenditures (current US$) | International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day v | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files. |
ST.INT.XPND.MP.ZS | International tourism, expenditures (% of total imports) | International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day v | World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank imports estimates. |
TG.VAL.TOTL.GD.ZS | Merchandise trade (% of GDP) | Merchandise trade as a share of GDP is the sum of merchandise exports and imports divided by the value of GDP, all in current U.S. dollars. | World Trade Organization, and World Bank GDP estimates. |
TM.QTY.MRCH.XD.WD | Import volume index (2000 = 100) | Import volume indexes are derived from UNCTAD's volume index series and are the ratio of the import value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD | United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics. |
TM.TAX.MANF.BC.ZS | Binding coverage, manufactured products (%) | Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufactured products are commodities classified in S | World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization. |
TM.TAX.MANF.BR.ZS | Bound rate, simple mean, manufactured products (%) | Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Manufac | World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization. |
TM.TAX.MANF.IP.ZS | Share of tariff lines with international peaks, manufactured products (%) | Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Manufactured products are commodities classified in SIT | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database. |
TM.TAX.MANF.SM.AR.ZS | Tariff rate, applied, simple mean, manufactured products (%) | Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line d | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.MANF.SM.FN.ZS | Tariff rate, most favored nation, simple mean, manufactured products (%) | Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit lev | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.MANF.SR.ZS | Share of tariff lines with specific rates, manufactured products (%) | Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database. |
TM.TAX.MANF.WM.AR.ZS | Tariff rate, applied, weighted mean, manufactured products (%) | Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line da | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.MANF.WM.FN.ZS | Tariff rate, most favored nation, weighted mean, manufactured products (%) | Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. T | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.MRCH.BC.ZS | Binding coverage, all products (%) | Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. | World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization. |
TM.TAX.MRCH.BR.ZS | Bound rate, simple mean, all products (%) | Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. | World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization. |
TM.TAX.MRCH.IP.ZS | Share of tariff lines with international peaks, all products (%) | Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database. |
TM.TAX.MRCH.SM.AR.ZS | Tariff rate, applied, simple mean, all products (%) | Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line d | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.MRCH.SM.FN.ZS | Tariff rate, most favored nation, simple mean, all products (%) | Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit lev | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.MRCH.SR.ZS | Share of tariff lines with specific rates, all products (%) | Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database. |
TM.TAX.MRCH.WM.AR.ZS | Tariff rate, applied, weighted mean, all products (%) | Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line da | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.MRCH.WM.FN.ZS | Tariff rate, most favored nation, weighted mean, all products (%) | Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. T | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.TCOM.BC.ZS | Binding coverage, primary products (%) | Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary products are commodities classified in SITC r | World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization. |
TM.TAX.TCOM.BR.ZS | Bound rate, simple mean, primary products (%) | Simple mean bound rate is the unweighted average of all the lines in the tariff schedule in which bound rates have been set. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable. Primary | World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization. |
TM.TAX.TCOM.IP.ZS | Share of tariff lines with international peaks, primary products (%) | Share of tariff lines with international peaks is the share of lines in the tariff schedule with tariff rates that exceed 15 percent. It provides an indication of how selectively tariffs are applied. Primary products are commodities classified in SITC rev | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database. |
TM.TAX.TCOM.SM.AR.ZS | Tariff rate, applied, simple mean, primary products (%) | Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line d | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.TCOM.SM.FN.ZS | Tariff rate, most favored nation, simple mean, primary products (%) | Simple mean most favored nation tariff rate is the unweighted average of most favored nation rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit lev | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.TCOM.SR.ZS | Share of tariff lines with specific rates, primary products (%) | Share of tariff lines with specific rates is the share of lines in the tariff schedule that are set on a per unit basis or that combine ad valorem and per unit rates. It shows the extent to which countries use tariffs based on physical quantities or other | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database. |
TM.TAX.TCOM.WM.AR.ZS | Tariff rate, applied, weighted mean, primary products (%) | Weighted mean applied tariff is the average of effectively applied rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line da | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.TAX.TCOM.WM.FN.ZS | Tariff rate, most favored nation, weighted mean, primary products (%) | Weighted mean most favored nations tariff is the average of most favored nation rates weighted by the product import shares corresponding to each partner country. Data are classified using the Harmonized System of trade at the six- or eight-digit level. T | World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database and the World Trade Organization’s (WTO) Integrate |
TM.VAL.AGRI.ZS.UN | Agricultural raw materials imports (% of merchandise imports) | Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TM.VAL.FOOD.ZS.UN | Food imports (% of merchandise imports) | Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TM.VAL.FUEL.ZS.UN | Fuel imports (% of merchandise imports) | Fuels comprise the commodities in SITC section 3 (mineral fuels). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TM.VAL.ICTG.ZS.UN | ICT goods imports (% total goods imports) | Information and communication technology goods imports include telecommunications, audio and video, computer and related equipment; electronic components; and other information and communication technology goods. Software is excluded. | United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx. |
TM.VAL.INSF.ZS.WT | Insurance and financial services (% of commercial service imports) | Insurance and financial services cover freight insurance on goods imported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary servi | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TM.VAL.MANF.ZS.UN | Manufactures imports (% of merchandise imports) | Manufactures comprise the commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (nonferrous metals). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TM.VAL.MMTL.ZS.UN | Ores and metals imports (% of merchandise imports) | Ores and metals comprise commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TM.VAL.MRCH.AL.ZS | Merchandise imports from economies in the Arab World (% of total merchandise imports) | Merchandise imports from economies in the Arab World are the sum of merchandise imports by the reporting economy from economies in the Arab World. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.CD.WT | Merchandise imports (current US$) | Merchandise imports show the c.i.f. value of goods received from the rest of the world valued in current U.S. dollars. | World Trade Organization. |
TM.VAL.MRCH.HI.ZS | Merchandise imports from high-income economies (% of total merchandise imports) | Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.OR.ZS | Merchandise imports from developing economies outside region (% of total merchandise imports) | Merchandise imports from developing economies outside region are the sum of merchandise imports by the reporting economy from other developing economies in other World Bank regions according to the World Bank classification of economies. Data are expresse | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.R1.ZS | Merchandise imports from developing economies in East Asia & Pacific (% of total merchandise imports) | Merchandise imports from developing economies in East Asia and Pacific are the sum of merchandise imports by the reporting economy from developing economies in the East Asia and Pacific region according to the World Bank classification of economies. Data | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.R2.ZS | Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports) | Merchandise imports from developing economies in Europe and Central Asia are the sum of merchandise imports by the reporting economy from developing economies in the Europe and Central Asia region according to the World Bank classification of economies. D | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.R3.ZS | Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports) | Merchandise imports from developing economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from developing economies in the Latin America and the Caribbean region according to the World Bank classification | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.R4.ZS | Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports) | Merchandise imports from developing economies in Middle East and North Africa are the sum of merchandise imports by the reporting economy from developing economies in the Middle East and North Africa region according to the World Bank classification of ec | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.R5.ZS | Merchandise imports from developing economies in South Asia (% of total merchandise imports) | Merchandise imports from developing economies in South Asia are the sum of merchandise imports by the reporting economy from developing economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a per | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.R6.ZS | Merchandise imports from developing economies in Sub-Saharan Africa (% of total merchandise imports) | Merchandise imports from developing economies in Sub-Saharan Africa are the sum of merchandise imports by the reporting economy from developing economies in the Sub-Saharan Africa region according to the World Bank classification of economies. Data are ex | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.RS.ZS | Merchandise imports by the reporting economy, residual (% of total merchandise imports) | Merchandise imports by the reporting economy residuals are the total merchandise imports by the reporting economy from the rest of the world as reported in the IMF's Direction of trade database, less the sum of imports by the reporting economy from high-, | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.WL.CD | Merchandise imports by the reporting economy (current US$) | Merchandise imports by the reporting economy are the total merchandise imports by the reporting economy from the rest of the world, as reported in the IMF's Direction of trade database. Data are in current U.S. dollars. | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.WR.ZS | Merchandise imports from developing economies within region (% of total merchandise imports) | Merchandise imports from developing economies within region are the sum of merchandise imports by the reporting economy from other developing economies in the same World Bank region according to the World Bank classification of economies. Data are as a pe | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TM.VAL.MRCH.XD.WD | Import value index (2000 = 100) | Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's import value indexes are reported for most economies. For selected economies for whi | United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics. |
TM.VAL.OTHR.ZS.WT | Computer, communications and other services (% of commercial service imports) | Computer, communications and other services (% of commercial service imports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TM.VAL.SERV.CD.WT | Commercial service imports (current US$) | Commercial service imports are total service imports minus imports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commod | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TM.VAL.TRAN.ZS.WT | Transport services (% of commercial service imports) | Transport services (% of commercial service imports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of go | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TM.VAL.TRVL.ZS.WT | Travel services (% of commercial service imports) | Travel services (% of commercial service imports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods an | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TT.PRI.MRCH.XD.WD | Net barter terms of trade index (2000 = 100) | Net barter terms of trade index is calculated as the percentage ratio of the export unit value indexes to the import unit value indexes, measured relative to the base year 2000. Unit value indexes are based on data reported by countries that demonstrate c | United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics. |
TX.QTY.MRCH.XD.WD | Export volume index (2000 = 100) | Export volume indexes are derived from UNCTAD's volume index series and are the ratio of the export value indexes to the corresponding unit value indexes. Unit value indexes are based on data reported by countries that demonstrate consistency under UNCTAD | United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics. |
TX.VAL.AGRI.ZS.UN | Agricultural raw materials exports (% of merchandise exports) | Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TX.VAL.FOOD.ZS.UN | Food exports (% of merchandise exports) | Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TX.VAL.FUEL.ZS.UN | Fuel exports (% of merchandise exports) | Fuels comprise SITC section 3 (mineral fuels). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TX.VAL.ICTG.ZS.UN | ICT goods exports (% of total goods exports) | Information and communication technology goods exports include telecommunications, audio and video, computer and related equipment; electronic components; and other information and communication technology goods. Software is excluded. | United Nations Conference on Trade and Development's UNCTADstat database at http://unctadstat.unctad.org/ReportFolders/reportFolders.aspx. |
TX.VAL.INSF.ZS.WT | Insurance and financial services (% of commercial service exports) | Insurance and financial services cover freight insurance on goods exported and other direct insurance such as life insurance; financial intermediation services such as commissions, foreign exchange transactions, and brokerage services; and auxiliary servi | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TX.VAL.MANF.ZS.UN | Manufactures exports (% of merchandise exports) | Manufactures comprise commodities in SITC sections 5 (chemicals), 6 (basic manufactures), 7 (machinery and transport equipment), and 8 (miscellaneous manufactured goods), excluding division 68 (non-ferrous metals). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TX.VAL.MMTL.ZS.UN | Ores and metals exports (% of merchandise exports) | Ores and metals comprise the commodities in SITC sections 27 (crude fertilizer, minerals nes); 28 (metalliferous ores, scrap); and 68 (non-ferrous metals). | World Bank staff estimates from the Comtrade database maintained by the United Nations Statistics Division. |
TX.VAL.MRCH.AL.ZS | Merchandise exports to economies in the Arab World (% of total merchandise exports) | Merchandise exports to economies in the Arab World are the sum of merchandise exports by the reporting economy to economies in the Arab World. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at lea | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.CD.WT | Merchandise exports (current US$) | Merchandise exports show the f.o.b. value of goods provided to the rest of the world valued in current U.S. dollars. | World Trade Organization. |
TX.VAL.MRCH.HI.ZS | Merchandise exports to high-income economies (% of total merchandise exports) | Merchandise exports to high-income economies are the sum of merchandise exports from the reporting economy to high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise exports by | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.OR.ZS | Merchandise exports to developing economies outside region (% of total merchandise exports) | Merchandise exports to developing economies outside region are the sum of merchandise exports from the reporting economy to other developing economies in other World Bank regions according to the World Bank classification of economies. Data are expressed | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.R1.ZS | Merchandise exports to developing economies in East Asia & Pacific (% of total merchandise exports) | Merchandise exports to developing economies in East Asia and Pacific are the sum of merchandise exports from the reporting economy to developing economies in the East Asia and Pacific region according to World Bank classification of economies. Data are as | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.R2.ZS | Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports) | Merchandise exports to developing economies in Europe and Central Asia are the sum of merchandise exports from the reporting economy to developing economies in the Europe and Central Asia region according to World Bank classification of economies. Data ar | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.R3.ZS | Merchandise exports to developing economies in Latin America & the Caribbean (% of total merchandise exports) | Merchandise exports to developing economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to developing economies in the Latin America and the Caribbean region according to World Bank classification of ec | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.R4.ZS | Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports) | Merchandise exports to developing economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to developing economies in the Middle East and North Africa region according to World Bank classification of economie | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.R5.ZS | Merchandise exports to developing economies in South Asia (% of total merchandise exports) | Merchandise exports to developing economies in South Asia are the sum of merchandise exports from the reporting economy to developing economies in the South Asia region according to World Bank classification of economies. Data are as a percentage of total | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.R6.ZS | Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports) | Merchandise exports to developing economies in Sub-Saharan Africa are the sum of merchandise exports from the reporting economy to developing economies in the Sub-Saharan Africa region according to World Bank classification of economies. Data are as a per | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.RS.ZS | Merchandise exports by the reporting economy, residual (% of total merchandise exports) | Merchandise exports by the reporting economy residuals are the total merchandise exports by the reporting economy to the rest of the world as reported in the IMF's Direction of trade database, less the sum of exports by the reporting economy to high-, low | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.WL.CD | Merchandise exports by the reporting economy (current US$) | Merchandise exports by the reporting economy are the total merchandise exports by the reporting economy to the rest of the world, as reported in the IMF's Direction of trade database. Data are in current US$. | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.WR.ZS | Merchandise exports to developing economies within region (% of total merchandise exports) | Merchandise exports to developing economies within region are the sum of merchandise exports from the reporting economy to other developing economies in the same World Bank region as a percentage of total merchandise exports by the economy. Data are compu | World Bank staff estimates based data from International Monetary Fund's Direction of Trade database. |
TX.VAL.MRCH.XD.WD | Export value index (2000 = 100) | Export values are the current value of exports (f.o.b.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2000). UNCTAD's export value indexes are reported for most economies. For selected economies for which UNCT | United Nations Conference on Trade and Development, Handbook of Statistics and data files, and International Monetary Fund, International Financial Statistics. |
TX.VAL.OTHR.ZS.WT | Computer, communications and other services (% of commercial service exports) | Computer, communications and other services (% of commercial service exports) include such activities as international telecommunications, and postal and courier services; computer data; news-related service transactions between residents and nonresidents | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TX.VAL.SERV.CD.WT | Commercial service exports (current US$) | Commercial service exports are total service exports minus exports of government services not included elsewhere. International transactions in services are defined by the IMF's Balance of Payments Manual (1993) as the economic output of intangible commod | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TX.VAL.TECH.CD | High-technology exports (current US$) | High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. Data are in current U.S. dollars. | United Nations, Comtrade database. |
TX.VAL.TECH.MF.ZS | High-technology exports (% of manufactured exports) | High-technology exports are products with high R&D intensity, such as in aerospace, computers, pharmaceuticals, scientific instruments, and electrical machinery. | United Nations, Comtrade database. |
TX.VAL.TRAN.ZS.WT | Transport services (% of commercial service exports) | Transport services (% of commercial service exports) covers all transport services (sea, air, land, internal waterway, space, and pipeline) performed by residents of one economy for those of another and involving the carriage of passengers, movement of go | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
TX.VAL.TRVL.ZS.WT | Travel services (% of commercial service exports) | Travel services (% of commercial service exports) covers goods and services acquired from an economy by travelers in that economy for their own use during visits of less than one year for business or personal purposes. Travel services include the goods an | International Monetary Fund, Balance of Payments Statistics Yearbook and data files. |
VC.BTL.DETH | Battle-related deaths (number of people) | Battle-related deaths are deaths in battle-related conflicts between warring parties in the conflict dyad (two conflict units that are parties to a conflict). Typically, battle-related deaths occur in warfare involving the armed forces of the warring part | Uppsala Conflict Data Program, http://www.pcr.uu.se/research/UCDP/. |
VC.IDP.TOTL.HE | Internally displaced persons (number, high estimate) | Internally displaced persons are people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations | Internal Displacement Monitoring Centre. |
VC.IDP.TOTL.LE | Internally displaced persons (number, low estimate) | Internally displaced persons are people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations | Internal Displacement Monitoring Centre. |
VC.IHR.PSRC.P5 | Intentional homicides (per 100,000 people) | Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by a | UN Office on Drugs and Crime's International Homicide Statistics database. |
VC.PKP.TOTL.UN | Presence of peace keepers (number of troops, police, and military observers in mandate) | Presence of peacebuilders and peacekeepers are active in peacebuilding and peacekeeping. Peacebuilding reduces the risk of lapsing or relapsing into conflict by strengthening national capacities at all levels of for conflict management, and to lay the fou | UN Department of Peacekeeping Operations, http://www.un.org/en/peacekeeping/. |
Economic and Social Indonesia
Tabel 1 | |||||||
Indonesia: Indikator Sosial Ekonomi 1960an - terkini | |||||||
1960 | 1970 | 1980 | 1990 | 2000 | 2010 | terkini*) | |
Ekonomi | |||||||
PDB per kapita (2010USD) | 577 | 660 | 1096 | 1653 | 2143 | 3125 | 3956 |
PDB per kapita (harga konstan dan 1960=100) | 100 | 114 | 190 | 286 | 371 | 542 | 686 |
PDB per Kapita (current USD) | 54 | 81 | 517 | 620 | 773 | 2951 | 3605 |
Konsumsi RT per kapita (2000 USD) | 104 | 123 | 178 | 310 | 477 | 648 | 671 |
Indeks Produksi Pangan (1961=100) | 100 | 134 | 193 | 309 | 385 | 603 | na |
Sosial | |||||||
Angka Harapan Hidup (tahun) | 45.1 | 51.8 | 57.8 | 62.1 | 65.7 | 68.9 | 69.1 |
Tingkat Kematian bayi (per 1000 kelahiran) | 128.1 | 102.5 | 75.7 | 54.1 | 37.6 | 25.8 | 22.8 |
Angka Kematian Kasar ( per 1000 orang) | 20.1 | 14.6 | 10.6 | 8.4 | 7.4 | 7.0 | 6.9 |
Tingkat Buta Huruf orang Dewasa (% penduduk) | 57.1 | 39.1 | 28.8 | 15.9 | 10.1 | 7.4 | na |
Expected Years of Schooling (tahun) | na | na | 8.7 | 10.4 | 11.1 | 12.0 | 12.9 |
Mean years of Schooling (tahun) | na | na | 3.1 | 3.3 | 4.8 | 5.8 | 7.9 |
Human Development Index (Indeks=100) | na | na | 42.3 | 48.1 | 54.3 | 61.3 | 68.9 |
Sumber: BPS, Bank Dunia dan UNDP Database |
Sheet1
Indicator Name | Indicator Code | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 |
Agricultural machinery, tractors | AG.AGR.TRAC.NO | 50 | 50 | 50 | 50 | 100 | 100 | 100 | 100 | 100 | 150 | 150 | 150 | 150 | 155 | 210 | 240 | 510 | 1820 | 1820 | 2100 | 2745 | 3390 | 3390 | 3652 | 3915 | 4175 | 4048 | 4316 | 4620 | 4524 | 4997 | 5470 | 5942 | 6033 | 6124 | 5139 | 4483 | 4656 | 4335 | 4013 | |||||||||||||
Fertilizer consumption (% of fertilizer production) | AG.CON.FERT.PT.ZS | 111.6578523592 | 111.0242971584 | 123.1850403231 | 102.5829930627 | 109.0276061748 | 112.1928849209 | 117.5629560961 | 110.9188729708 | 113.4576141827 | ||||||||||||||||||||||||||||||||||||||||||||
Fertilizer consumption (kilograms per hectare of arable land) | AG.CON.FERT.ZS | 123.9590657836 | 131.1321521021 | 131.2093975513 | 150.5473434795 | 158.0160930233 | 168.1390909091 | 183.2418061674 | 181.3542372881 | |||||||||||||||||||||||||||||||||||||||||||||
Agricultural land (sq. km) | AG.LND.AGRI.K2 | 386000 | 386000 | 385500 | 385500 | 385000 | 384500 | 384500 | 384500 | 384000 | 384000 | 383500 | 383500 | 383000 | 383000 | 382560 | 380460 | 380460 | 380460 | 380000 | 380000 | 379500 | 379500 | 379000 | 370520 | 396790 | 412920 | 434850 | 441370 | 444350 | 450830 | 415240 | 413510 | 420160 | 419710 | 421870 | 421630 | 427220 | 429220 | 439230 | 456770 | 463000 | 468810 | 494060 | 517660 | 492460 | 502000 | 510000 | 520000 | 536000 | ||||
Agricultural land (% of land area) | AG.LND.AGRI.ZS | 21.307484668 | 21.307484668 | 21.2798842993 | 21.2798842993 | 21.2522839305 | 21.2246835618 | 21.2246835618 | 21.2246835618 | 21.197083193 | 21.197083193 | 21.1694828243 | 21.1694828243 | 21.1418824555 | 21.1418824555 | 21.1175941311 | 21.0016725823 | 21.0016725823 | 21.0016725823 | 20.9762802431 | 20.9762802431 | 20.9486798744 | 20.9486798744 | 20.9210795056 | 20.4529772518 | 21.9031006254 | 22.793488521 | 24.004040694 | 24.3639495024 | 24.5284477001 | 24.8861484789 | 22.921554232 | 22.8260569561 | 23.1931418604 | 23.1683015285 | 23.2875351215 | 23.2742869445 | 23.582859067 | 23.693260542 | 24.2458199242 | 25.2140408596 | 25.5579414541 | 25.8786577389 | 27.2724763603 | 28.5752137649 | 27.1841551803 | 27.7107702159 | 28.1523761157 | 28.7043834906 | 29.5875952903 | ||||
Arable land (hectares) | AG.LND.ARBL.HA | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18000000 | 18021000 | 19500000 | 20178000 | 21170000 | 21156000 | 20860000 | 20253000 | 18081000 | 18100000 | 18129000 | 17126000 | 17342000 | 17941000 | 18500000 | 18700000 | 19700000 | 20500000 | 20200000 | 20081000 | 22406000 | 24666000 | 21946000 | 21500000 | 22000000 | 22700000 | 23600000 | ||||
Arable land (hectares per person) | AG.LND.ARBL.HA.PC | 0.1910305409 | 0.186369666 | 0.1817847077 | 0.1772721416 | 0.1728331353 | 0.1684765194 | 0.1642144687 | 0.1600554731 | 0.1560075085 | 0.1520761692 | 0.1482631552 | 0.1445693209 | 0.1409969974 | 0.137547965 | 0.1342222565 | 0.1310214597 | 0.1279426344 | 0.1249768099 | 0.1221136398 | 0.1193475318 | 0.1166744446 | 0.1140984913 | 0.1116308949 | 0.1094125257 | 0.1159891253 | 0.1176749522 | 0.1211324454 | 0.1188493923 | 0.1151227603 | 0.1098640963 | 0.0964567958 | 0.0950069187 | 0.0936775057 | 0.0871603412 | 0.0869707649 | 0.0887039585 | 0.0902159716 | 0.0899733649 | 0.0935374741 | 0.0960657959 | 0.0934304953 | 0.0916830264 | 0.1010010695 | 0.1098187123 | 0.0965494653 | 0.0935113773 | 0.0946392272 | 0.0966158268 | 0.0994042087 | ||||
Arable land (% of land area) | AG.LND.ARBL.ZS | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9361327467 | 9.9477249016 | 10.764143809 | 11.1384048091 | 11.6859961249 | 11.6782680217 | 11.5148738387 | 11.1798053622 | 9.9808453441 | 9.9913334842 | 10.0073416981 | 9.4536783011 | 9.5729118941 | 9.9035643116 | 10.2121364341 | 10.3225379091 | 10.8745452839 | 11.3161511838 | 11.1505489713 | 11.0848600937 | 12.3682772402 | 13.6158139073 | 12.1143538478 | 11.8681585586 | 12.144162246 | 12.5305674084 | 13.0273740457 | ||||
Land under cereal production (hectares) | AG.LND.CREL.HA | 9319000 | 10458000 | 9290000 | 10626000 | 9834000 | 11469000 | 10063000 | 11240780 | 10448440 | 11073690 | 10951020 | 10057690 | 11836770 | 11175470 | 10939970 | 10463810 | 10926080 | 11953780 | 11397180 | 11740010 | 12336880 | 11049760 | 12164700 | 12849830 | 12342260 | 13131210 | 12548620 | 13543950 | 13475400 | 13660490 | 13190600 | 14732650 | 13952330 | 13843200 | 15090640 | 15313270 | 14495820 | 15564020 | 15419560 | 15293000 | 14785900 | 14648030 | 14835910 | 15279910 | 15465090 | 15132210 | 15777920 | 16312510 | 17044260 | 17387450 | |||
Permanent cropland (% of land area) | AG.LND.CROP.ZS | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.4160589985 | 4.3680343569 | 4.5976694249 | 4.9084495769 | 5.229717869 | 5.6646996804 | 5.6757398279 | 6.4695264329 | 6.4673184034 | 6.321036449 | 6.6721131394 | 7.2009362045 | 7.2009362045 | 7.2009362045 | 7.2009362045 | 7.2009362045 | 7.2014882119 | 7.7281032475 | 8.2801106223 | 8.6665157847 | 8.8321179971 | 8.8873187346 | 8.9977202095 | 9.7705305343 | 9.9361327467 | 10.1017349592 | 10.4881401216 | ||||
Land area where elevation is below 5 meters (% of total land area) | AG.LND.EL5M.ZS | 5.497674 | 5.497674 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Forest area (sq. km) | AG.LND.FRST.K2 | 1185450 | 994090 | 978570 | 944320 | |||||||||||||||||||||||||||||||||||||||||||||||||
Forest area (% of land area) | AG.LND.FRST.ZS | 65.4377142479 | 54.8745011233 | 54.0177856776 | 52.1271604189 | |||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural irrigated land (% of total agricultural land) | AG.LND.IRIG.AG.ZS | 16.5290842772 | 11.7495850706 | 14.8669010547 | 16.0134833286 | |||||||||||||||||||||||||||||||||||||||||||||||||
Average precipitation in depth (mm per year) | AG.LND.PRCP.MM | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | 2702 | |||||||||||||||||||||||||||||||||||||||||
Land area (sq. km) | AG.LND.TOTL.K2 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | 1811570 | |||
Agricultural machinery, tractors per 100 sq. km of arable land | AG.LND.TRAC.ZS | 0.0277777778 | 0.0277777778 | 0.0277777778 | 0.0277777778 | 0.0555555556 | 0.0555555556 | 0.0555555556 | 0.0555555556 | 0.0555555556 | 0.0833333333 | 0.0833333333 | 0.0833333333 | 0.0833333333 | 0.0861111111 | 0.1166666667 | 0.1333333333 | 0.2833333333 | 1.0111111111 | 1.0111111111 | 1.1666666667 | 1.525 | 1.8833333333 | 1.8833333333 | 2.0265246102 | 2.0076923077 | 2.0690851422 | 1.9121398205 | 2.0400831915 | 2.2147651007 | 2.2337431492 | 2.7636745755 | 3.0220994475 | 3.2776214904 | 3.5227140021 | 3.5313112674 | 2.8643888301 | 2.4232432432 | 2.4898395722 | 2.2005076142 | 1.9575609756 | |||||||||||||
Cereal production (metric tons) | AG.PRD.CREL.MT | 14367100 | 16246900 | 13952800 | 16074600 | 15339500 | 17367400 | 15591100 | 20328850 | 20313080 | 22156220 | 22796490 | 21647980 | 25179300 | 25483780 | 25242090 | 25873040 | 26489750 | 29800800 | 29888240 | 33642840 | 37283500 | 36818530 | 40389880 | 43424230 | 43362400 | 45647170 | 45233880 | 48328120 | 50918110 | 51912830 | 50944110 | 56235460 | 54640840 | 53510380 | 57990000 | 60408920 | 58147950 | 59406200 | 60070440 | 61575000 | 59808000 | 61074980 | 63024000 | 65313700 | 66675000 | 66064400 | 70444900 | 76575000 | 82028600 | 84775900 | |||
Crop production index (2004-2006 = 100) | AG.PRD.CROP.XD | 21.31 | 22.66 | 21.56 | 22.83 | 22.92 | 23.6 | 22.74 | 26.12 | 26.62 | 28.17 | 28.8 | 28.76 | 31.23 | 32.53 | 31.85 | 31.6 | 32.96 | 35.18 | 36.91 | 39.92 | 42.73 | 42.01 | 45.08 | 48.93 | 49.99 | 52.48 | 53.23 | 56.28 | 59.33 | 61.82 | 62.49 | 68.19 | 68.86 | 69.45 | 75.64 | 75.62 | 72.67 | 74.08 | 75.65 | 77.91 | 79.49 | 84.53 | 90.29 | 95.93 | 100 | 104.06 | 107.95 | 115.2 | 122.2 | 122.17 | |||
Food production index (2004-2006 = 100) | AG.PRD.FOOD.XD | 20.19 | 21.61 | 20.42 | 21.95 | 21.82 | 22.44 | 21.65 | 24.93 | 25.25 | 26.98 | 27.85 | 27.79 | 30.23 | 31.74 | 31.12 | 30.79 | 32.18 | 34.26 | 35.76 | 38.87 | 41.67 | 41.52 | 44.65 | 48.65 | 49.75 | 52.75 | 53.56 | 56.62 | 59.98 | 62.43 | 63.51 | 69.48 | 70.58 | 71.92 | 77.34 | 77.59 | 74.84 | 74.63 | 75.16 | 77.81 | 79.56 | 85.29 | 91.15 | 96.69 | 99.52 | 103.79 | 107.09 | 113.54 | 120.78 | 121.75 | |||
1 | 1.0703318474 | 1.0113917781 | 1.0871718673 | 1.0807330362 | 1.1114413076 | 1.0723130263 | 1.234769688 | 1.2506191184 | 1.3363051015 | 1.3793957405 | 1.3764239723 | 1.4972758791 | 1.5720653789 | 1.5413571075 | 1.5250123824 | 1.5938583457 | 1.6968796434 | 1.7711738484 | 1.9252105002 | 2.0638930163 | 2.0564635958 | 2.211490837 | 2.4096087172 | 2.4640911342 | 2.6126795443 | 2.6527984151 | 2.8043585934 | 2.9707776127 | 3.0921248143 | 3.1456166419 | 3.441307578 | 3.495789995 | 3.5621594849 | 3.8306092125 | 3.84299158 | 3.7067855374 | 3.6963843487 | 3.7226349678 | 3.8538880634 | 3.940564636 | 4.2243684993 | 4.5146111937 | 4.7890044577 | 4.9291728579 | 5.1406636949 | 5.304110946 | 5.6235760277 | 5.9821693908 | 6.0302129767 | |||||
Livestock production index (2004-2006 = 100) | AG.PRD.LVSK.XD | 16.9 | 17.7 | 17.7 | 18.43 | 18.67 | 18.3 | 18.18 | 19.43 | 19.53 | 21.67 | 22.44 | 23.58 | 24.14 | 25.56 | 26.07 | 27.16 | 27.48 | 28.33 | 30.68 | 32.72 | 34.35 | 36.31 | 40.82 | 43.79 | 46.56 | 51.83 | 53.35 | 55.45 | 58.67 | 62.8 | 66.72 | 71.31 | 76.84 | 82.45 | 79.52 | 83.34 | 83.05 | 72.77 | 68.65 | 74.36 | 80.44 | 89.8 | 94.51 | 99.41 | 95.37 | 105.22 | 104.71 | 106.02 | 110.42 | 119.25 | |||
Surface area (sq. km) | AG.SRF.TOTL.K2 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | 1904570 | |||
Cereal yield (kg per hectare) | AG.YLD.CREL.KG | 1541.7 | 1553.5 | 1501.9 | 1512.8 | 1559.8 | 1514.3 | 1549.3 | 1808.5 | 1944.1 | 2000.8 | 2081.7 | 2152.4 | 2127.2 | 2280.3 | 2307.3 | 2472.6 | 2424.5 | 2493 | 2622.4 | 2865.7 | 3022.1 | 3332.1 | 3320.3 | 3379.4 | 3513.3 | 3476.2 | 3604.7 | 3568.2 | 3778.6 | 3800.2 | 3862.2 | 3817.1 | 3916.3 | 3865.5 | 3842.8 | 3944.9 | 4011.4 | 3816.9 | 3895.7 | 4026.4 | 4044.9 | 4169.5 | 4248.1 | 4274.5 | 4311.3 | 4365.8 | 4464.8 | 4694.3 | 4812.7 | 4875.7 | |||
Trade in services (% of GDP) | BG.GSR.NFSV.GD.ZS | 5.8903120198 | 5.6654075059 | 5.6894054215 | 5.4889465972 | 6.8457488671 | 6.3701700087 | 7.2501352775 | 6.7295415479 | 7.209093432 | 7.4668019611 | 7.3232008077 | 8.259997192 | 8.7369629928 | 9.1654718205 | 9.4042491596 | 9.5606418706 | 10.914542299 | 17.3577626378 | 12.1246307301 | 12.6354965114 | 13.3256485233 | 12.1167911479 | 9.6660835766 | 12.8103633817 | 12.2347554405 | 9.0281385206 | 8.5179116824 | 8.5236529408 | 6.6814050033 | 6.0527533497 | 6.2451560756 | ||||||||||||||||||||||
Communications, computer, etc. (% of service imports, BoP) | BM.GSR.CMCP.ZS | 44.1776710684 | 39.5721925134 | 33.8436572489 | 40.4576566171 | 55.0730282376 | 49.7180451128 | 52.2297311712 | 47.7203675206 | 45.2105178158 | 36.1789970938 | 32.5411334552 | 37.8518502716 | 43.9670925858 | 45.9705676244 | 44.7267355982 | 46.3042464628 | 49.900644692 | 48.9987152454 | 52.3380668256 | 51.8087023547 | 52.3366826407 | 48.6508815357 | 52.8427871681 | 88.8582462344 | |||||||||||||||||||||||||||||
Income payments (BoP, current US$) | BM.GSR.FCTY.CD | 4154000000 | 4016000000 | 4281000000 | 4889000000 | 4310000000 | 3948000000 | 4215000000 | 4584000000 | 5109000000 | 5599000000 | 6498000000 | 6482000000 | 6015000000 | 5741000000 | 7180000000 | 7218000000 | 8187000000 | 10098800000 | 10887159139.2405 | 10900883886.076 | 8939900000 | 8365464061.67644 | 7271950421.27491 | 12912256499.5109 | 15264309256.0414 | 16376799712.7186 | 18993820000 | 18747210097.7346 | 17061238334.4782 | 22679589881.3787 | 28144188604.6954 | ||||||||||||||||||||||
Imports of goods and services (BoP, current US$) | BM.GSR.GNFS.CD | 21540000000 | 22716000000 | 22037000000 | 19286000000 | 17840000000 | 16194000000 | 16972000000 | 18437000000 | 21749000000 | 27511000000 | 31398000000 | 34874000000 | 38222000000 | 43738000000 | 54461000000 | 59379000000 | 62830000000 | 44030357373.1649 | 42974513498.0652 | 56002459130.4348 | 50548622608.6956 | 52696767225.6136 | 56946590677.3864 | 71471152278.0404 | 91510592533.2134 | 95261792802.1806 | 109588090000 | 144935614049.389 | 111610160174.319 | 153536398207.794 | 198479478527.581 | ||||||||||||||||||||||
Insurance and financial services (% of service imports, BoP) | BM.GSR.INSF.ZS | 3.8075230092 | 4.220485397 | 4.7459986082 | 3.8877093654 | 2.7108081792 | 3.0310150376 | 3.0495495495 | 3.2609639601 | 3.2579518294 | 3.8688903567 | 4.1453382084 | 3.624691358 | 3.1596587447 | 3.1114225648 | 3.3308714919 | 3.2102516679 | 3.0649726019 | 2.7599767362 | 2.1972021271 | 2.0653552223 | 1.8030710928 | 1.8377948876 | 1.7217404744 | 4.5369963941 | 3.9792592156 | 3.4085970665 | 4.2621826854 | 3.6268310209 | 7.5266780062 | 6.1452697146 | 5.9492847768 | ||||||||||||||||||||||
Goods imports (BoP, current US$) | BM.GSR.MRCH.CD | 16542000000 | 17854000000 | 17726000000 | 15047000000 | 12705000000 | 11938000000 | 12532000000 | 13831000000 | 16310000000 | 21455000000 | 24834000000 | 26774000000 | 28376000000 | 32322000000 | 40921000000 | 44240000000 | 46223000000 | 31942145700 | 30598450000 | 40365376000 | 34668480000 | 35651883593 | 39546174967.4012 | 50614842997.4068 | 69461765038.9556 | 73867847651.2105 | 85259710000 | 116690660761.261 | 88714091162.7571 | 127447053592.315 | 166125121728.288 | ||||||||||||||||||||||
Service imports (BoP, current US$) | BM.GSR.NFSV.CD | 4998000000 | 4862000000 | 4311000000 | 4239000000 | 5135000000 | 4256000000 | 4440000000 | 4606000000 | 5439000000 | 6056000000 | 6564000000 | 8100000000 | 9846000000 | 11416000000 | 13540000000 | 15139000000 | 16607000000 | 12088211673.1649 | 12376063498.0652 | 15637083130.4348 | 15880142608.6957 | 17044883632.6136 | 17400415709.9852 | 20856309280.6336 | 22048827494.2578 | 21393945150.9701 | 24328380000 | 28244953288.1282 | 22896069011.5623 | 26089344615.4793 | 32354356799.2935 | ||||||||||||||||||||||
Royalty and license fees, payments (BoP, current US$) | BM.GSR.ROYL.CD | 990320000 | 960870000 | 872228636.997941 | 1085450000 | 1327681813.9019 | 1530107288.81507 | 1616459043.16398 | 1786437103.75061 | |||||||||||||||||||||||||||||||||||||||||||||
Imports of goods, services and income (BoP, current US$) | BM.GSR.TOTL.CD | 25694000000 | 26732000000 | 26318000000 | 24175000000 | 22150000000 | 20142000000 | 21187000000 | 23021000000 | 26858000000 | 33110000000 | 37896000000 | 41356000000 | 44237000000 | 49479000000 | 61641000000 | 66597000000 | 71017000000 | 54129157373.1649 | 53861672637.3057 | 66903343016.5107 | 59488522608.6956 | 61062231287.29 | 64218541098.6613 | 84383408777.5513 | 106774901789.255 | 111638592514.899 | 128581910000 | 163682824147.124 | 128671398508.798 | 176215988089.173 | 226623667132.277 | ||||||||||||||||||||||
Transport services (% of service imports, BoP) | BM.GSR.TRAN.ZS | 40.0900360144 | 44.6482928836 | 49.3017861285 | 43.5291342298 | 30.7069133398 | 33.8580827068 | 33.2117117117 | 36.1658706036 | 38.2570325427 | 46.1476221929 | 48.5511882998 | 44.1283950617 | 37.2425350396 | 34.2747021724 | 35.9010339734 | 34.6390118238 | 32.5164087433 | 30.8568545795 | 26.4538411137 | 25.6835100504 | 24.4139643035 | 30.2138652567 | 27.721039339 | 26.2439632779 | 33.7920413455 | 38.2390271766 | 39.0525386401 | 49.1933004719 | 28.4864739225 | 33.242471793 | 37.5194046848 | ||||||||||||||||||||||
Travel services (% of service imports, BoP) | BM.GSR.TRVL.ZS | 11.924769908 | 11.5590292061 | 12.108559499 | 12.1255012975 | 11.5092502434 | 13.3928571429 | 11.509009009 | 12.8528006947 | 13.2744989888 | 13.8044914135 | 14.7623400366 | 14.3950617284 | 15.6307129799 | 16.6433076384 | 16.0413589365 | 15.8464892001 | 14.5179743482 | 17.3844544827 | 19.010891471 | 20.4424314518 | 21.4462809555 | 19.297459302 | 17.7144317118 | 16.814993266 | 16.2560277051 | 18.8392337539 | 20.1571169145 | 19.6646357818 | 23.2185737369 | 24.510135863 | 22.4968665338 | ||||||||||||||||||||||
Foreign direct investment, net outflows (% of GDP) | BM.KLT.DINV.GD.ZS | 0.2253066878 | 0.3442775759 | 0.2983198613 | 0.2638874378 | 0.0825033349 | 1.3269122239 | 1.0721708829 | 0.7476613643 | 1.0816679669 | 1.1562554197 | 0.4168282491 | 0.376291898 | 0.9118874945 | ||||||||||||||||||||||||||||||||||||||||
Private current transfers, payments (BoP, current US$) | BM.TRF.PRVT.CD | 470410000 | 183980000 | 1293938074.44158 | 1199583279.71955 | 1215732595.53871 | 1696500000 | 1988536126.8004 | 2663153246.56063 | 2940954801.91489 | 3416335732.37845 | |||||||||||||||||||||||||||||||||||||||||||
Personal transfers and compensation of employees, paid (current US$) | BM.TRF.PWKR.CD.DT | 913221496.6 | 1178915744.9 | 1359066196 | 1654250000 | 1971467529.7 | 2701592136.2 | 2839937799.4 | 3163740018.5 | |||||||||||||||||||||||||||||||||||||||||||||
Current account balance (BoP, current US$) | BN.CAB.XOKA.CD | -566000000 | -5324000000 | -6338000000 | -1856000000 | -1923000000 | -3911000000 | -2098000000 | -1397000000 | -1108000000 | -2988000000 | -4260000000 | -2780000000 | -2106000000 | -2792000000 | -6431000000 | -7663000000 | -4889000000 | 4096965770.22987 | 5782898397.49641 | 7992091763.19783 | 6900915637.8044 | 7823523644.12285 | 8106792055.95371 | 1563017799.54063 | 277554218.390854 | 10859492464.381 | 10492590000 | 125240090.030975 | 10628489686.077 | 5144284990.09198 | 2070020010.69901 | ||||||||||||||||||||||
Current account balance (% of GDP) | BN.CAB.XOKA.GD.ZS | -0.6120647335 | -5.6210640257 | -7.4242230927 | -2.1184206455 | -2.2017687024 | -4.8850460597 | -2.7630851611 | -1.5734174966 | -1.0921076733 | -2.6112832701 | -3.3237625656 | -1.9983284478 | -1.3328536083 | -1.5783628769 | -3.1815837943 | -3.3702823928 | -2.2660606973 | 4.2924639811 | 4.1306018071 | 4.8430752264 | 4.3010576015 | 3.9985174342 | 3.453042191 | 0.6085643851 | 0.0970915339 | 2.9787082855 | 2.4276223207 | 0.0245451108 | 1.9697710242 | 0.7265663808 | 0.2444427371 | ||||||||||||||||||||||
Net income (BoP, current US$) | BN.GSR.FCTY.CD | -3073000000 | -2993000000 | -3650000000 | -4061000000 | -3542000000 | -3216000000 | -3654000000 | -4092000000 | -4547000000 | -5190000000 | -5581000000 | -5664000000 | -4987000000 | -4693000000 | -5874000000 | -6008000000 | -6332000000 | -8189000000 | -8996659139.2405 | -8443383886.07595 | -6935500000 | -7047765709.96442 | -6217456176.78647 | -10917221531.5259 | -12926627527.2884 | -13789573806.8456 | -15524630000 | -15155390370.5829 | -15140098798.9489 | -20789877040.0166 | -25666722878.2625 | ||||||||||||||||||||||
Net trade in goods and services (BoP, current US$) | BN.GSR.GNFS.CD | 2257000000 | -2465000000 | -2802000000 | 2038000000 | 1531000000 | -954000000 | 1299000000 | 2441000000 | 3100000000 | 1784000000 | 1059000000 | 2313000000 | 2344000000 | 1282000000 | -1538000000 | -2592000000 | 409000000 | 10819614426.8351 | 12865957536.7369 | 14619075649.2737 | 12316415637.8044 | 13131251791.0235 | 12455538881.6376 | 11341407383.9157 | 8411229717.7543 | 19786000661.7644 | 20913220000 | 9917006200.62198 | 21191036277.875 | 21303866417.485 | 23524552241.672 | ||||||||||||||||||||||
Net trade in goods (BoP, current US$) | BN.GSR.MRCH.CD | 6806000000 | 1893000000 | 963000000 | 5707000000 | 5822000000 | 2458000000 | 4674000000 | 5678000000 | 6664000000 | 5352000000 | 4801000000 | 7022000000 | 8231000000 | 7901000000 | 6533000000 | 5948000000 | 10075000000 | 18428826100 | 20643437521.75 | 25042017662.7 | 22696104546.5 | 23513231458.6371 | 24563068217.4828 | 20152287895.5244 | 17533559389.4656 | 29659958871.4689 | 32754140000 | 22915438273.956 | 30931651920.2789 | 30627437343.942 | 35347268073.413 | ||||||||||||||||||||||
Net errors and omissions, adjusted (BoP, current US$) | BN.KAC.EOMS.CD | -1668978875.25608 | -2150980216.24265 | 467472490.43259 | -619900612.19658 | 651229024.71209 | -1269408058.29523 | -753484747 | -932851805.699999 | -1315447174.8 | 744145221.5 | 91231912.6000013 | -1279415603.26 | -2931576117.88 | -263437807.712643 | -2254641469.5281 | 1318720306.53805 | -2645396645.37666 | 2099324488.91496 | 2077022806.66725 | 3829331350.95967 | 700965345.174586 | -1762555223.22607 | -3510066633.69843 | -3093998286.6207 | -136106928.734714 | 1073502715.5089 | -1377701145.0935 | -211570243.879887 | -2975076422.26311 | -1480207782.96668 | -4232388930.31992 | ||||||||||||||||||||||
Foreign direct investment, net (BoP, current US$) | BN.KLT.DINV.CD | 133000000 | 225000000 | 292000000 | 222000000 | 310000000 | 258000000 | 385000000 | 576000000 | 682000000 | 1093000000 | 1482000000 | 1777000000 | 1648000000 | 1500000000 | 3743000000 | 5594000000 | 4499000000 | -240800000 | -1865620963.49087 | -4550355285.71428 | -2977391857.14286 | 145085548.722222 | -596923827.786241 | -1511917230 | 5271257207.64285 | 2188448467.00071 | 2253330000 | 3418723398.70827 | 2628247482.66651 | 11106333134.5372 | 10437376043.4271 | ||||||||||||||||||||||
Private capital flows, total (BoP, current US$) | BN.KLT.PRVT.CD | 180000000 | 540000000 | 660000000 | 212000000 | 275000000 | 526000000 | 297000000 | 478000000 | 509000000 | 1000000000 | 1470000000 | 1689000000 | 3453000000 | 5377000000 | 7843000000 | 10599000000 | 1867000000 | -2118800000 | -3657970963.49087 | -6461085478.54951 | -3221194294.90297 | 1366935489.45365 | 1654367282.75451 | 2897238925.79576 | 9460842728.56797 | 6465074992.62016 | 7819410000 | 5182974868.32728 | 12964477809.5875 | 24308316805.138 | 14635651183.2726 | ||||||||||||||||||||||
Private capital flows, total (% of GDP) | BN.KLT.PRVT.GD.ZS | 0.1946495619 | 0.5701304609 | 0.7731125341 | 0.241974772 | 0.3148655191 | 0.657001848 | 0.3911517125 | 0.5383633238 | 0.5016992831 | 0.8739234505 | 1.1469321529 | 1.2140923555 | 2.1853482951 | 3.0397052969 | 3.8801371013 | 4.6615715883 | 0.8653580122 | -2.2199044838 | -2.6128111604 | -3.9153107777 | -2.007638252 | 0.6986257899 | 0.7046683802 | 1.128046287 | 3.309507374 | 1.7733400074 | 1.809140951 | 1.0157825064 | 2.4026981714 | 3.4332479244 | 1.7282821497 | ||||||||||||||||||||||
Portfolio investment, excluding LCFAR (BoP, current US$) | BN.KLT.PTXL.CD | 47000000 | 315000000 | 368000000 | -10000000 | -35000000 | 268000000 | -88000000 | -98000000 | -173000000 | -93000000 | -12000000 | -88000000 | 1805000000 | 3877000000 | 4100000000 | 5005000000 | -2632000000 | -1878000000 | -1792350000 | -1910730192.83523 | -243802437.760112 | 1221849940.73143 | 2251291110.54075 | 4409156155.79576 | 4189585520.92512 | 4276626525.61945 | 5566080000 | 1764251469.61901 | 10336230326.9209 | 13201983670.6007 | 4198275139.84555 | ||||||||||||||||||||||
Changes in net reserves (BoP, current US$) | BN.RES.INCL.CD | 373978875.25608 | 1852980216.24265 | -183472490.43259 | -981099387.80342 | -510229024.71209 | 1003408058.29523 | -629515253 | 112851805.699999 | -494552825.2 | -2251145221.5 | -1528231912.6 | -2069584396.74 | -594423882.12 | -783562192.287357 | -1573358530.4719 | -4502720306.53805 | 8137396645.37666 | 3436809740.85517 | -1915622537.83544 | -3925623425.49017 | 15040611.3389099 | -4957888541.74212 | -3647266568.15626 | -321023188.7157 | -486913620.504061 | -14957782897.4262 | -12705798854.9065 | 1918150011.52785 | -12505566040.0779 | -30284440312.189 | -11855630932.0658 | ||||||||||||||||||||||
Net current transfers (BoP, current US$) | BN.TRF.CURR.CD | 250000000 | 134000000 | 114000000 | 167000000 | 88000000 | 259000000 | 257000000 | 254000000 | 339000000 | 418000000 | 262000000 | 571000000 | 537000000 | 619000000 | 981000000 | 937000000 | 1034000000 | 1466351343.39482 | 1913600000 | 1816400000 | 1520000000 | 1740037563.06377 | 1868709351.10255 | 1138831947.15089 | 4792952027.9249 | 4863065609.46129 | 5104000000 | 5363624259.99181 | 4577552207.15096 | 4630295612.6237 | 4212190647.28933 | ||||||||||||||||||||||
Net capital account (BoP, current US$) | BN.TRF.KOGT.CD | 333918558 | 350322889 | 546200000 | 294452536.896192 | 95824593.216 | 49845904.2690753 | 752039.3340038 | ||||||||||||||||||||||||||||||||||||||||||||||
Grants, excluding technical cooperation (BoP, current US$) | BX.GRT.EXTA.CD.WD | 86910000 | 67010000 | 84660000 | 86270000 | 93250000 | 68630000 | 58900000 | 73240000 | 71180000 | 137150000 | 108980000 | 124400000 | 92090000 | 103880000 | 123120000 | 136580000 | 135740000 | 195290000 | 201650000 | 214830000 | 285860000 | 276340000 | 319910000 | 241220000 | 233800000 | 260580000 | 205440000 | 207410000 | 276870000 | 425300000 | 369130000 | 262800000 | 306500000 | 309250000 | 342990000 | 1049630000 | 1010600000 | 1001510000 | 842580000 | 978490000 | 851330000 | ||||||||||||
Technical cooperation grants (BoP, current US$) | BX.GRT.TECH.CD.WD | 25730000 | 36840000 | 39940000 | 54610000 | 78100000 | 78740000 | 83830000 | 86610000 | 115090000 | 142270000 | 183570000 | 195920000 | 218080000 | 209990000 | 201410000 | 199850000 | 241740000 | 282980000 | 345800000 | 368560000 | 395710000 | 442160000 | 426490000 | 423420000 | 443140000 | 491480000 | 407450000 | 370660000 | 315150000 | 338920000 | 418480000 | 402410000 | 459520000 | 487830000 | 427810000 | 454470000 | 554840000 | 523520000 | 515070000 | 467910000 | 520360000 | ||||||||||||
ICT service exports (BoP, current US$) | BX.GSR.CCIS.CD | 973130000 | 1145550000 | 1220351167.32689 | 1483650000 | 1273814236.94062 | 1156598415.45835 | 1239735941.3016 | 1623739488.93092 | |||||||||||||||||||||||||||||||||||||||||||||
ICT service exports (% of service exports, BoP) | BX.GSR.CCIS.ZS | 8.0788323825 | 8.8620291105 | 10.5933381136 | 11.8811191387 | 8.3547861115 | 8.7917792189 | 7.3944451613 | 7.908474006 | |||||||||||||||||||||||||||||||||||||||||||||
Communications, computer, etc. (% of service exports, BoP) | BX.GSR.CMCP.ZS | 34.0757238307 | 30.753968254 | 18.315018315 | 10.701754386 | 30.0947867299 | 18.7203791469 | 9.3896713615 | 3.0679327977 | 10.2933333333 | 10.6511254019 | 8.0085046067 | 7.4019463285 | 6.6683505936 | 4.6278924328 | 4.3883708173 | 6.2888316412 | 4.2212937617 | 5.0011163206 | 5.3536379703 | 4.5919826801 | 4.0723913375 | 4.7646644266 | 7.5070724651 | 38.7218055035 | 40.0780718846 | 41.2771877691 | 37.0504490104 | 31.1179068532 | 37.3975362761 | 40.487669576 | 42.4862224518 | ||||||||||||||||||||||
Income receipts (BoP, current US$) | BX.GSR.FCTY.CD | 1081000000 | 1023000000 | 631000000 | 828000000 | 768000000 | 732000000 | 561000000 | 492000000 | 562000000 | 409000000 | 917000000 | 818000000 | 1028000000 | 1048000000 | 1306000000 | 1210000000 | 1855000000 | 1909800000 | 1890500000 | 2457500000 | 2004400000 | 1317698351.71202 | 1054494244.48844 | 1995034967.98499 | 2337681728.75304 | 2587225905.87303 | 3469190000 | 3591819727.15172 | 1921139535.5293 | 1889712841.36208 | 2477465726.43287 | ||||||||||||||||||||||
Exports of goods and services (BoP, current US$) | BX.GSR.GNFS.CD | 23797000000 | 20251000000 | 19235000000 | 21324000000 | 19371000000 | 15240000000 | 18271000000 | 20878000000 | 24849000000 | 29295000000 | 32457000000 | 37187000000 | 40566000000 | 45020000000 | 52923000000 | 56787000000 | 63239000000 | 54849971800 | 55840471034.8021 | 70621534779.7085 | 62865038246.5 | 65828019016.6371 | 69402129559.024 | 82812559661.9561 | 99921822250.9677 | 115047793463.945 | 130501310000 | 154852620250.011 | 132801196452.194 | 174840264625.279 | 222004030769.253 | ||||||||||||||||||||||
Insurance and financial services (% of service exports, BoP) | BX.GSR.INSF.ZS | 0.037070923 | 0.0513897297 | 2.528178995 | 2.9547833082 | 1.8648002978 | 2.4683962952 | 2.1283630403 | 1.510865476 | 2.1136187766 | 2.0951727982 | |||||||||||||||||||||||||||||||||||||||||||
Goods exports (BoP, current US$) | BX.GSR.MRCH.CD | 23348000000 | 19747000000 | 18689000000 | 20754000000 | 18527000000 | 14396000000 | 17206000000 | 19509000000 | 22974000000 | 26807000000 | 29635000000 | 33796000000 | 36607000000 | 40223000000 | 47454000000 | 50188000000 | 56298000000 | 50370971800 | 51241887521.75 | 65407393662.7 | 57364584546.5 | 59165115051.6371 | 64109243184.884 | 70767130892.9312 | 86995324428.4212 | 103527806522.679 | 118013850000 | 139606099035.217 | 119645743083.036 | 158074490936.257 | 201472389801.701 | ||||||||||||||||||||||
Service exports (BoP, current US$) | BX.GSR.NFSV.CD | 449000000 | 504000000 | 546000000 | 570000000 | 844000000 | 844000000 | 1065000000 | 1369000000 | 1875000000 | 2488000000 | 2822000000 | 3391000000 | 3959000000 | 4797000000 | 5469000000 | 6599000000 | 6941000000 | 4479000000 | 4598583513.05208 | 5214141117.00854 | 5500453700 | 6662903965 | 5292886374.14 | 12045428769.0249 | 12926497822.5465 | 11519986941.2661 | 12487460000 | 15246521214.7938 | 13155453369.1582 | 16765773689.022 | 20531640967.5523 | ||||||||||||||||||||||
Royalty and license fees, receipts (BoP, current US$) | BX.GSR.ROYL.CD | 221187500 | 263330000 | 13445052.7973301 | 30690000 | 27211956.7544272 | 38128141.0043154 | 59560687.4038917 | 77695691.7130115 | |||||||||||||||||||||||||||||||||||||||||||||
Exports of goods, services and income (BoP, current US$) | BX.GSR.TOTL.CD | 24878000000 | 21274000000 | 19866000000 | 22152000000 | 20139000000 | 15972000000 | 18832000000 | 21370000000 | 25411000000 | 29704000000 | 33374000000 | 38005000000 | 41594000000 | 46068000000 | 54229000000 | 57997000000 | 65094000000 | 56759771800 | 57730971034.8021 | 73079034779.7085 | 64869438246.5 | 67145717368.3491 | 70456623803.5125 | 84807594629.9411 | 102259503979.721 | 117635019369.819 | 133970500000 | 158444439977.163 | 134722335987.723 | 176729977466.641 | 224481496495.686 | ||||||||||||||||||||||
Transport services (% of service exports, BoP) | BX.GSR.TRAN.ZS | 15.144766147 | 13.6904761905 | 9.1575091575 | 8.5964912281 | 4.9763033175 | 4.6208530806 | 3.8497652582 | 3.2140248356 | 2.88 | 2.8135048232 | 2.8703047484 | 2.6245945149 | 1.1113917656 | 15.8774613225 | 16.1688715666 | 18.9189053369 | 21.9855174084 | 18.2470143055 | 17.6693258677 | 18.366340684 | 18.5395405924 | 15.8980599158 | 16.6835008888 | ||||||||||||||||||||||||||||||
Travel services (% of service exports, BoP) | BX.GSR.TRVL.ZS | 50.7795100223 | 55.5555555556 | 72.5274725275 | 80.701754386 | 64.9289099526 | 76.6587677725 | 86.7605633803 | 93.7180423667 | 86.8266666667 | 86.5353697749 | 89.1211906449 | 89.9734591566 | 92.2202576408 | 95.3721075672 | 95.6116291827 | 93.7111683588 | 95.7787062383 | 94.9988836794 | 94.6463620297 | 95.4080173199 | 95.9276086625 | 79.3208033278 | 76.2726662387 | 39.8311101646 | 34.9816273988 | 38.6109976276 | 42.8118288267 | 48.3873894226 | 42.5520576555 | 41.5006517317 | 38.7351038612 | ||||||||||||||||||||||
Foreign direct investment, net inflows (BoP, current US$) | BX.KLT.DINV.CD.WD | 133000000 | 225000000 | 292000000 | 222000000 | 310000000 | 258000000 | 385000000 | 576000000 | 682000000 | 1093000000 | 1482000000 | 1777000000 | 2004000000 | 2109000000 | 4346000000 | 6194000000 | 4677000000 | -240800000 | -1865620963.49087 | -4550355285.71428 | -2977391857.14286 | 145085548.722222 | -596923827.786241 | 1896082770 | 8336257207.6 | 4914201435.4 | 6928480000 | 9318453649.8 | 4877369178.4 | 13770580771 | 18159533731 | ||||||||||||||||||||||
Foreign direct investment, net inflows (% of GDP) | BX.KLT.DINV.WD.GD.ZS | 0.1438243985 | 0.2375543587 | 0.3420437272 | 0.2533886764 | 0.3549393124 | 0.3222556593 | 0.5070485162 | 0.648739068 | 0.6722179 | 0.9551983314 | 1.1562948644 | 1.2773487956 | 1.268299445 | 1.1922519009 | 2.1500797963 | 2.7241979826 | 2.1677982985 | -0.2522904473 | -1.3325735286 | -2.7574399304 | -1.8556861947 | 0.0741516384 | -0.2542563258 | 0.7382439569 | 2.9161149268 | 1.3479426023 | 1.6030105719 | 1.8262720628 | 0.9039196317 | 1.9449235514 | 2.1444073516 | ||||||||||||||||||||||
Portfolio equity, net inflows (BoP, current US$) | BX.PEF.TOTL.CD.WD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1805000000 | 1900000000 | 1493000000 | 1819000000 | -4987000000 | -4371000000 | -782350000 | -1021180192.83523 | 442090511.951675 | 876551079.950157 | 1130491110.54075 | 2042529155.79576 | -165274363.22 | 1897589872 | 3558960000 | 322475762.75 | 787278950.18 | 2131563489.2 | -326105110.99 | ||||||||||||||||||||||
Current transfers, receipts (BoP, current US$) | BX.TRF.CURR.CD | 250000000 | 134000000 | 114000000 | 167000000 | 88000000 | 259000000 | 257000000 | 254000000 | 339000000 | 418000000 | 262000000 | 571000000 | 537000000 | 619000000 | 981000000 | 937000000 | 1034000000 | 1466351343.39482 | 1913600000 | 1816400000 | 1520000000 | 2210447563.06377 | 2052689351.10255 | 2432770021.59247 | 5992535307.64445 | 6078798205 | 6800500000 | 7352160386.79221 | 7240705453.71159 | 7571250414.53859 | 7635626379.66778 | ||||||||||||||||||||||
Workers' remittances, receipts (BoP, current US$) | BX.TRF.PWKR.CD | 10000000 | 53000000 | 61000000 | 71000000 | 86000000 | 99000000 | 167000000 | 166000000 | 130000000 | 229000000 | 346000000 | 449000000 | 651000000 | 796000000 | 725000000 | 958170000 | 1109000000 | 1190200000 | 1046000000 | 1258917563.06377 | 1488709351.10255 | 1700010021.59247 | 5296249000.00001 | 5560250000 | 6003810000 | 6617865564.14697 | 6617953588.06461 | 6734939812.96658 | 6735872884.41679 | ||||||||||||||||||||||||
Personal transfers and compensation of employees, received (current US$) | BX.TRF.PWKR.CD.DT | 10000000 | 53000000 | 61000000 | 71000000 | 86000000 | 99000000 | 167000000 | 166000000 | 130000000 | 229000000 | 346000000 | 449000000 | 651000000 | 796000000 | 725000000 | 958169982.9 | 1109000000 | 1190199951 | 1046000000 | 1258917603 | 1488709351 | 1866314941 | 5419620728.8 | 5722357516.7 | 6174340000 | 6794200933.4 | 6792907280.4 | 6916051073.1 | 6923970511.4 | ||||||||||||||||||||||||
Personal transfers and compensation of employees, received (% of GDP) | BX.TRF.PWKR.DT.GD.ZS | 0.0117138263 | 0.060493693 | 0.069842897 | 0.0886827589 | 0.1132627854 | 0.1115020273 | 0.1646046764 | 0.1450712928 | 0.1014293741 | 0.1646105088 | 0.2189778483 | 0.2538269813 | 0.3220667159 | 0.3500906674 | 0.3360388639 | 1.0038917506 | 0.7921352044 | 0.7212414557 | 0.651928887 | 0.6434190287 | 0.6341073218 | 0.7266537878 | 1.8958432437 | 1.5696160574 | 1.4285286664 | 1.3315577692 | 1.2589250521 | 0.9768063409 | 0.8176318559 | ||||||||||||||||||||||||
S&P Global Equity Indices (annual % change) | CM.MKT.INDX.ZG | 16.3999996185 | -73.6289978027 | -28.0748996735 | 95.0999984741 | -61.0417098999 | -18.5326080322 | 33.2900009155 | 69.7200012207 | 39.3400001526 | 9.0793650794 | 67.9278230501 | 49.2663200462 | -61.072838455 | 130.0666750379 | 37.8942154062 | 1.1358723171 | |||||||||||||||||||||||||||||||||||||
Market capitalization of listed companies (current US$) | CM.MKT.LCAP.CD | 253000000 | 2249999872 | 8080000000 | 6819999744 | 12000000000 | 32999999488 | 47200002048 | 66585000000 | 91016000000 | 29105000000 | 22104000000 | 64087223300 | 26834210000 | 23005650000 | 29991370000 | 54659060000 | 73250640000 | 81428120000 | 138886360000 | 211692970000 | 98760599266.055 | 178190945563.824 | 360388099886.427 | 390106865177.833 | |||||||||||||||||||||||||||||
Market capitalization of listed companies (% of GDP) | CM.MKT.LCAP.GD.ZS | 0.2849496254 | 2.2177275498 | 7.06130148 | 5.3211408091 | 8.625878192 | 20.8851701767 | 26.6829265836 | 32.9413399069 | 40.0299650608 | 13.4902222529 | 23.1587543465 | 45.7761458323 | 16.2610867745 | 14.33847782 | 15.3282614429 | 23.2817172317 | 28.5202962509 | 28.4844565464 | 38.0958827157 | 48.9784294541 | 19.3555422527 | 33.0240110987 | 50.9003443478 | 46.0666029205 | |||||||||||||||||||||||||||||
Listed domestic companies, total | CM.MKT.LDOM.NO | 24 | 57 | 125 | 141 | 155 | 174 | 216 | 238 | 253 | 282 | 288 | 277 | 290 | 316 | 331 | 333 | 331 | 335 | 344 | 383 | 396 | 398 | 420 | 440 | |||||||||||||||||||||||||||||
Stocks traded, total value (current US$) | CM.MKT.TRAD.CD | 4000000 | 541000000 | 3992000000 | 2921999872 | 3903000064 | 9157999616 | 11800999936 | 14403000000 | 32142000000 | 42927000000 | 10610690000 | 19903460000 | 14310690000 | 9666880000 | 13041840000 | 14774350000 | 27561460000 | 41900080000 | 48830560000 | 112851080000 | 110677616650.766 | 115309506142.384 | 129546386041.381 | 139617767077.532 | |||||||||||||||||||||||||||||
Stocks traded, total value (% of GDP) | CM.MKT.TRAD.GD.ZS | 0.0045051324 | 0.533240299 | 3.4887024144 | 2.2798201388 | 2.805566928 | 5.7959510129 | 6.6712966365 | 7.1255405674 | 14.1364500416 | 19.8967452552 | 11.117008829 | 14.2166197974 | 8.6720410958 | 6.0249697126 | 6.6655418948 | 6.2930507583 | 10.73111449 | 14.6571111804 | 13.3939955421 | 26.1098356767 | 21.6910924137 | 21.3702351631 | 18.2968185148 | 16.4870624199 | |||||||||||||||||||||||||||||
Stocks traded, turnover ratio (%) | CM.MKT.TRNR | 43.2281284591 | 77.2894491668 | 39.2214754658 | 41.4771532103 | 40.7022209787 | 29.4289269576 | 25.3161659986 | 40.7890812876 | 71.4729314608 | 41.4407233104 | 46.1844239772 | 31.4792441795 | 38.7917622562 | 49.217257876 | 34.9067334921 | 43.0951835553 | 54.1769018578 | 44.3280532446 | 64.3797681968 | 71.3005921706 | 83.2705274948 | 48.1067309008 | 37.2068497663 | ||||||||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Australia (current US$) | DC.DAC.AUSL.CD | 1540000 | 1070000 | 4250000 | 7040000 | 12660000 | 17990000 | 17090000 | 24430000 | 26450000 | 32100000 | 33200000 | 29460000 | 26720000 | 36010000 | 44190000 | 48050000 | 44750000 | 45900000 | 38730000 | 56490000 | 46790000 | 42010000 | 48220000 | 71660000 | 83100000 | 77380000 | 72870000 | 77020000 | 85650000 | 93050000 | 107880000 | 84910000 | 78550000 | 74060000 | 72280000 | 72020000 | 59210000 | 71120000 | 86500000 | 106110000 | 184670000 | 240230000 | 335060000 | 325230000 | 342140000 | 356200000 | |||||||
Net bilateral aid flows from DAC donors, Austria (current US$) | DC.DAC.AUTL.CD | 0 | 0 | 0 | 10000 | 120000 | 330000 | -1170000 | -1170000 | 0 | 0 | 0 | 0 | 0 | 0 | 270000 | 870000 | 400000 | 610000 | 380000 | 370000 | 66610000 | 7610000 | 200000 | 2980000 | 3330000 | 490000 | 190000 | 550000 | 6860000 | 4400000 | 230000 | -9990000 | -6110000 | -4970000 | -1080000 | 10560000 | 16150000 | 11100000 | 10540000 | 7430000 | 8520000 | 4770000 | 520000 | 370000 | 550000 | 1360000 | 2640000 | 1710000 | 1110000 | 1950000 | 850000 | ||
Net bilateral aid flows from DAC donors, Belgium (current US$) | DC.DAC.BELL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10000 | 410000 | 1650000 | 3700000 | 5800000 | 7000000 | 12080000 | 14470000 | 14460000 | 13240000 | 13980000 | 4930000 | 16200000 | 20550000 | 13560000 | 12940000 | 12090000 | 3240000 | 3390000 | 11270000 | 5840000 | 6230000 | 10740000 | -1590000 | 37560000 | 2500000 | 15410000 | 1540000 | -1190000 | 7110000 | -4100000 | 1450000 | 1060000 | 980000 | 1170000 | 1400000 | 1400000 | -6910000 | -450000 | 10340000 | -10080000 | -6550000 | -6190000 | -5800000 | ||
Net bilateral aid flows from DAC donors, Canada (current US$) | DC.DAC.CANL.CD | 1120000 | 600000 | 500000 | 450000 | 440000 | 80000 | 100000 | 500000 | 900000 | 2470000 | 3120000 | 2080000 | 12990000 | 17450000 | 25820000 | 34100000 | 22350000 | 11770000 | 14410000 | 8810000 | 14440000 | 21190000 | 26790000 | 10580000 | 25970000 | 34120000 | 52070000 | 42970000 | 40120000 | 33430000 | 48430000 | 42660000 | 33610000 | 33930000 | 23870000 | 15720000 | 18000000 | 18740000 | 18460000 | 26310000 | 26450000 | 18780000 | 11550000 | 21630000 | 9250000 | 95890000 | 37280000 | 53440000 | 82410000 | 20020000 | 10860000 | ||
Net bilateral aid flows from DAC donors, European Union institutions (current US$) | DC.DAC.CECL.CD | 140000 | 1520000 | 1450000 | 750000 | 280000 | 0 | 0 | 0 | 0 | 4070000 | 4390000 | 130000 | 3130000 | 450000 | 9640000 | 790000 | 170000 | 2660000 | 2190000 | 1250000 | 1350000 | 30710000 | 9460000 | 6480000 | 3680000 | 8580000 | 7330000 | 6340000 | 8310000 | 13860000 | 12400000 | 12020000 | 12950000 | 13460000 | 14200000 | 25330000 | 22660000 | 15440000 | 14850000 | 28730000 | 37680000 | 28370000 | 23940000 | 27970000 | 42590000 | 72130000 | 137240000 | 132640000 | 54510000 | 113130000 | 105450000 | ||
Net bilateral aid flows from DAC donors, Switzerland (current US$) | DC.DAC.CHEL.CD | 0 | 0 | 0 | 20000 | 0 | 0 | 60000 | 30000 | 110000 | 80000 | 260000 | 80000 | 630000 | 810000 | 2740000 | 6130000 | 5920000 | 1190000 | 1360000 | 1900000 | 3580000 | 2840000 | 3410000 | 4150000 | 4270000 | 6030000 | 9690000 | 7380000 | 28430000 | 21370000 | 19440000 | 13800000 | 29730000 | 26140000 | 22240000 | 13850000 | 10070000 | 8010000 | 5540000 | 5610000 | 3490000 | 3270000 | 6340000 | 3920000 | 2600000 | 19750000 | 1800000 | -70000 | -1910000 | 5520000 | 5000000 | ||
Net bilateral aid flows from DAC donors, Germany (current US$) | DC.DAC.DEUL.CD | -110000 | -250000 | 3580000 | 7560000 | 14160000 | 15130000 | 3750000 | 26950000 | 21610000 | 8520000 | 24620000 | 43990000 | 59950000 | 46580000 | 57650000 | 43970000 | 35620000 | 24510000 | 26060000 | 29960000 | 65640000 | 173620000 | 140060000 | 85470000 | 92930000 | 86910000 | 126100000 | 61770000 | 97640000 | 52360000 | 99010000 | 135820000 | 116360000 | 279440000 | 265820000 | 4460000 | -105980000 | 115220000 | 212800000 | -19470000 | 6380000 | 29920000 | 78390000 | -91100000 | -8590000 | 164670000 | 50390000 | 31410000 | 29730000 | -34840000 | -12600000 | ||
Net bilateral aid flows from DAC donors, Denmark (current US$) | DC.DAC.DNKL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 160000 | 610000 | 640000 | 1020000 | 1670000 | 290000 | 820000 | 3900000 | 320000 | -380000 | -170000 | 150000 | 100000 | 6140000 | 50000 | 130000 | 80000 | -240000 | -160000 | 340000 | 640000 | 11120000 | 4860000 | 2240000 | 3740000 | 3990000 | 6180000 | 2210000 | 760000 | 1710000 | 1510000 | 1880000 | 1400000 | 3650000 | 1890000 | 2740000 | 3020000 | 32240000 | 6420000 | 7060000 | 7160000 | 10370000 | 12460000 | ||
Net bilateral aid flows from DAC donors, Spain (current US$) | DC.DAC.ESPL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70000 | 23160000 | 21490000 | 9490000 | 55430000 | 45340000 | 44390000 | 42410000 | 42120000 | 2110000 | 13840000 | 66120000 | 41350000 | 7850000 | 9680000 | 10890000 | 33720000 | 3920000 | -16210000 | 9450000 | 3410000 | -10590000 | ||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Finland (current US$) | DC.DAC.FINL.CD | 0 | 0 | 0 | 0 | 10000 | 0 | 0 | 0 | 30000 | 180000 | 520000 | 260000 | 350000 | 940000 | 510000 | 1440000 | 1410000 | 1800000 | 3260000 | 5780000 | 2680000 | 3080000 | 1810000 | 860000 | 1560000 | 780000 | 580000 | 360000 | 320000 | 1700000 | 650000 | 410000 | 420000 | 660000 | 110000 | 8460000 | 5310000 | 5470000 | 1820000 | 2130000 | 1800000 | ||||||||||||
Net bilateral aid flows from DAC donors, France (current US$) | DC.DAC.FRAL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22700000 | 18900000 | 17300000 | 14800000 | 28400000 | 12990000 | 24500000 | 30840000 | 36460000 | 26900000 | 12700000 | 30690000 | 24780000 | 43500000 | 43720000 | 27130000 | 66300000 | 34800000 | 20630000 | 39230000 | 37330000 | 57090000 | 108940000 | 122410000 | 126470000 | 168780000 | 113760000 | 107650000 | 88360000 | 28440000 | 12560000 | 24410000 | 21190000 | 21700000 | 26100000 | 44810000 | 57040000 | -28240000 | 29300000 | -55670000 | -84030000 | 103530000 | 187130000 | 262490000 | ||
Net bilateral aid flows from DAC donors, United Kingdom (current US$) | DC.DAC.GBRL.CD | 0 | 0 | 110000 | 150000 | 90000 | 30000 | 10000 | 1930000 | 2630000 | 5550000 | 6310000 | 14160000 | 16940000 | 19520000 | 15700000 | 12960000 | 7290000 | 8650000 | 11330000 | 18680000 | 18400000 | 11580000 | 15560000 | 10980000 | 13880000 | 37990000 | 7310000 | 10430000 | 17220000 | 14490000 | 22380000 | 38890000 | 32680000 | 34080000 | 34060000 | 56210000 | 46080000 | 57220000 | 40060000 | 40660000 | 33860000 | 23440000 | 31720000 | 37170000 | 37360000 | 24090000 | 101560000 | 71480000 | 100690000 | 68760000 | 26850000 | ||
Net bilateral aid flows from DAC donors, Greece (current US$) | DC.DAC.GRCL.CD | 0 | 0 | 70000 | 30000 | 0 | 0 | 10000 | 10000 | 0 | 170000 | 570000 | 90000 | 50000 | 80000 | 70000 | ||||||||||||||||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Ireland (current US$) | DC.DAC.IRLL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100000 | 0 | 0 | 0 | 0 | 20000 | 10000 | 70000 | 0 | 10000 | 50000 | 170000 | 70000 | 140000 | 30000 | 70000 | 0 | 30000 | 8190000 | 640000 | 410000 | 80000 | 1190000 | 10000 | ||||||||||||||||
Net bilateral aid flows from DAC donors, Italy (current US$) | DC.DAC.ITAL.CD | -130000 | -110000 | 1260000 | 720000 | 1980000 | 5520000 | 0 | 10000 | 31690000 | 34160000 | 18730000 | 50720000 | -3230000 | 20000 | -1970000 | 240000 | 10370000 | -1700000 | -2200000 | -1430000 | 3270000 | -1930000 | -1270000 | 4380000 | 1700000 | 1220000 | 11840000 | 19430000 | 1300000 | 17480000 | 9840000 | 14310000 | 12470000 | 72050000 | 39510000 | 16630000 | 670000 | -490000 | -1830000 | 1100000 | 1270000 | 940000 | 2330000 | 3340000 | -16420000 | 3350000 | -25310000 | -16950000 | -19450000 | -16270000 | -14410000 | ||
Net bilateral aid flows from DAC donors, Japan (current US$) | DC.DAC.JPNL.CD | 14280000 | 30810000 | 22040000 | 17930000 | 15010000 | 21520000 | 50580000 | 112930000 | 83730000 | 65840000 | 125840000 | 111890000 | 103200000 | 142860000 | 221090000 | 197920000 | 200480000 | 148350000 | 227590000 | 226900000 | 350030000 | 299800000 | 294550000 | 235460000 | 167700000 | 161330000 | 160830000 | 707320000 | 984910000 | 1145270000 | 867780000 | 1065510000 | 1356710000 | 1148890000 | 886170000 | 892420000 | 965530000 | 496860000 | 828470000 | 1605840000 | 970100000 | 860070000 | 538300000 | 1141780000 | -318540000 | 1223130000 | -90250000 | -222460000 | -284920000 | -512790000 | 61140000 | ||
Net bilateral aid flows from DAC donors, Korea, Rep. (current US$) | DC.DAC.KORL.CD | 330000 | 80000 | 580000 | 2720000 | 7280000 | 6020000 | 1730000 | 2590000 | 2020000 | 15390000 | 19550000 | 9330000 | 3790000 | 23000000 | 14670000 | 30170000 | 16930000 | 18320000 | 18900000 | 28780000 | 18940000 | 27760000 | 24440000 | ||||||||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Luxembourg (current US$) | DC.DAC.LUXL.CD | 0 | 20000 | 20000 | 20000 | 30000 | 20000 | 0 | 0 | 250000 | 240000 | 0 | 0 | 80000 | 190000 | 30000 | 50000 | 1190000 | 520000 | 310000 | 500000 | 490000 | ||||||||||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Netherlands (current US$) | DC.DAC.NLDL.CD | 21900000 | 25900000 | 37000000 | 0 | 0 | 0 | 18700000 | 25730000 | 15880000 | 46990000 | 44840000 | 53380000 | 67570000 | 54090000 | 44200000 | 39680000 | 44270000 | 43080000 | 75800000 | 85410000 | 68030000 | 105250000 | 61840000 | 78030000 | 56620000 | 90470000 | 140280000 | 156210000 | 161500000 | 190130000 | 139440000 | 7960000 | -42580000 | -48980000 | -54500000 | -62510000 | -48780000 | -44550000 | 71930000 | 143960000 | 119650000 | 127270000 | 76890000 | -520000 | 175990000 | 75620000 | 42430000 | 75490000 | 81090000 | 34360000 | |||
Net bilateral aid flows from DAC donors, Norway (current US$) | DC.DAC.NORL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20000 | 30000 | 20000 | 150000 | 130000 | 180000 | 100000 | 480000 | 3500000 | 2690000 | 1460000 | 3740000 | 830000 | 4130000 | 1070000 | 1880000 | 1560000 | 4230000 | 630000 | 1990000 | 480000 | -180000 | -220000 | 11780000 | 3090000 | 1320000 | 21150000 | 13720000 | 9160000 | 3750000 | 8590000 | 5800000 | 4620000 | 6050000 | 6570000 | 7370000 | 45090000 | 10260000 | 16410000 | 10660000 | 12890000 | 41940000 | ||
Net bilateral aid flows from DAC donors, New Zealand (current US$) | DC.DAC.NZLL.CD | 0 | 0 | 1970000 | 2190000 | 3960000 | 7090000 | 4170000 | 2700000 | 2780000 | 2810000 | 3070000 | 4520000 | 4880000 | 4060000 | 2900000 | 1460000 | 2390000 | 2100000 | 2330000 | 2240000 | 3120000 | 2350000 | 2580000 | 2790000 | 3200000 | 3280000 | 3460000 | 4230000 | 3240000 | 3920000 | 2880000 | 2990000 | 4470000 | 4840000 | 6530000 | 13040000 | 8760000 | 13160000 | 12110000 | 5140000 | 6540000 | ||||||||||||
Net bilateral aid flows from DAC donors, Portugal (current US$) | DC.DAC.PRTL.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40000 | 80000 | 0 | 0 | 2110000 | 2260000 | 0 | 90000 | 40000 | 0 | |||||||||||||||||||||||||
Net bilateral aid flows from DAC donors, Sweden (current US$) | DC.DAC.SWEL.CD | 0 | 0 | 450000 | 490000 | 440000 | 0 | 0 | 0 | 0 | 20000 | 0 | 0 | 0 | 20000 | 0 | 0 | 0 | 0 | 0 | 320000 | 10000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50000 | 200000 | 390000 | 820000 | 590000 | 520000 | 1050000 | 1310000 | 610000 | 2970000 | 4070000 | 3740000 | 1580000 | 5940000 | 9120000 | 21600000 | 23900000 | 16440000 | 12150000 | 11580000 | 5940000 | |||
Net bilateral aid flows from DAC donors, Total (current US$) | DC.DAC.TOTL.CD | 81200000 | 111470000 | 154390000 | 105080000 | 63520000 | 41230000 | 80910000 | 231590000 | 315830000 | 319810000 | 453440000 | 547220000 | 453200000 | 518900000 | 549430000 | 527390000 | 523850000 | 401530000 | 543160000 | 633010000 | 845580000 | 830240000 | 761390000 | 625640000 | 552390000 | 511320000 | 612210000 | 1128830000 | 1506530000 | 1717710000 | 1533110000 | 1739240000 | 1880770000 | 1842290000 | 1481070000 | 1243670000 | 1038140000 | 783660000 | 1252420000 | 2112500000 | 1585450000 | 1396530000 | 1200610000 | 1638590000 | -57860000 | 2332510000 | 758100000 | 524050000 | 647810000 | 446030000 | 1093790000 | ||
Net bilateral aid flows from DAC donors, United States (current US$) | DC.DAC.USAL.CD | 44000000 | 53000000 | 88000000 | 77000000 | 31000000 | -2920000 | 26510000 | 44750000 | 122920000 | 151000000 | 186000000 | 227000000 | 158000000 | 158000000 | 82000000 | 91000000 | 127000000 | 102000000 | 142000000 | 181000000 | 117000000 | 103000000 | 72000000 | 80000000 | 61000000 | 43000000 | 46000000 | 36000000 | 22000000 | 31000000 | 31000000 | 18000000 | -1000000 | -6000000 | -17000000 | -7000000 | -57000000 | -51000000 | 36580000 | 207260000 | 174190000 | 141010000 | 225750000 | 210880000 | 68870000 | 155640000 | 190100000 | 117340000 | 115120000 | 121290000 | 180300000 | ||
External debt stocks, total (DOD, current US$) | DT.DOD.DECT.CD | 1095383000 | 4982261000 | 5863064000 | 7270798000 | 9100923000 | 11497813000 | 14010055000 | 16470547000 | 18045709000 | 18623753000 | 20937702000 | 22761141000 | 25133287000 | 30229381000 | 32025242000 | 36714624000 | 42914289000 | 52526345000 | 54053868000 | 59380148000 | 69848499000 | 79523030000 | 87978588000 | 89146947000 | 107808954000 | 124388680000 | 128988712000 | 136322465000 | 151466804000 | 151788595000 | 143655149000 | 132347307000 | 128114943000 | 133779579000 | 137487822000 | 141820095000 | 135959423000 | 147854466000 | 157906449000 | 179394490000 | 195172097000 | 213540848000 | |||||||||||
External debt stocks (% of GNI) | DT.DOD.DECT.GN.ZS | 11.2950968176 | 50.548813423 | 51.1639165557 | 43.0919008152 | 34.3846907257 | 36.6938312195 | 36.0640416799 | 34.6110992334 | 33.886874289 | 35.3122629749 | 27.989223442 | 25.4522042124 | 27.8870833934 | 36.9207183618 | 38.8184968955 | 44.3538838957 | 56.4630189385 | 73.0502801171 | 63.8317880834 | 61.2836908639 | 63.9586985699 | 71.620740089 | 72.1755422851 | 58.652212747 | 62.625312486 | 63.4028480743 | 58.2930166714 | 65.089039949 | 168.1777985936 | 117.3583096076 | 95.5678535545 | 92.2846789518 | 74.3222004974 | 59.2608844813 | 56.1057466489 | 52.1478258884 | 38.9526328234 | 35.6756054252 | 32.0875274444 | 34.4529306831 | 28.3631224099 | 25.9562407841 | |||||||||||
Use of IMF credit (DOD, current US$) | DT.DOD.DIMF.CD | 0 | 136091000 | 116300000 | 23114000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 445100000 | 413100000 | 46090000 | 51330000 | 716228000 | 622925000 | 608325000 | 493912000 | 165537000 | 0 | 0 | 0 | 0 | 0 | 2970336000 | 9089988000 | 10576254000 | 11148904000 | 9413732000 | 9186352000 | 10630687000 | 10057237000 | 8148492000 | 359485000 | 377610000 | 368057000 | 3104714000 | 3049935000 | 3040508000 | |||||||||||
External debt stocks, long-term (DOD, current US$) | DT.DOD.DLXF.CD | 1095383000 | 4375373000 | 5164944000 | 6529684000 | 8201923000 | 10362813000 | 12627055000 | 14545547000 | 16259709000 | 16515753000 | 18162702000 | 19487141000 | 21517287000 | 25145281000 | 26204142000 | 30619534000 | 36396959000 | 45449818000 | 46703943000 | 50796823000 | 58219287000 | 65042693000 | 69921488000 | 71159947000 | 88351954000 | 98422380000 | 96758272000 | 100487129000 | 122264116000 | 121183261000 | 110818221000 | 102902551000 | 101302567000 | 103672145000 | 105406585000 | 122649103000 | 123391638000 | 128821457000 | 137050102000 | 152240276000 | 159074892000 | 172326980000 | |||||||||||
External debt stocks, private nonguaranteed (PNG) (DOD, current US$) | DT.DOD.DPNG.CD | 0 | 649000000 | 913000000 | 1285000000 | 1844000000 | 2369000000 | 2624000000 | 2842000000 | 3040000000 | 3140000000 | 3142000000 | 3579000000 | 3200000000 | 3652400000 | 3930800000 | 3836500000 | 3778400000 | 4571000000 | 5545200000 | 6556300000 | 10260500000 | 13176000000 | 16281000000 | 14029000000 | 24440950000 | 33123191000 | 36694340000 | 44468771000 | 54728300000 | 47264868000 | 41169275000 | 34405214000 | 30026378000 | 29753665000 | 33546406000 | 45243994000 | 46766267000 | 48506581000 | 49296641000 | 54793124000 | 58782824000 | 69775305000 | |||||||||||
External debt stocks, public and publicly guaranteed (PPG) (DOD, current US$) | DT.DOD.DPPG.CD | 1095383000 | 3726373000 | 4251944000 | 5244684000 | 6357923000 | 7993813000 | 10003055000 | 11703547000 | 13219709000 | 13375753000 | 15020702000 | 15908141000 | 18317287000 | 21492881000 | 22273342000 | 26783034000 | 32618559000 | 40878818000 | 41158743000 | 44240523000 | 47958787000 | 51866693000 | 53640488000 | 57130947000 | 63911004000 | 65299189000 | 60063932000 | 56018358000 | 67535816000 | 73918393000 | 69648946000 | 68497337000 | 71276189000 | 73918480000 | 71860179000 | 77405109000 | 76625371000 | 80314876000 | 87753461000 | 97447152000 | 100292068000 | 102551675000 | |||||||||||
External debt stocks, short-term (DOD, current US$) | DT.DOD.DSTC.CD | 0 | 470797000 | 581820000 | 718000000 | 899000000 | 1135000000 | 1383000000 | 1925000000 | 1786000000 | 2108000000 | 2775000000 | 3274000000 | 3616000000 | 4639000000 | 5408000000 | 6049000000 | 6466000000 | 6360299000 | 6727000000 | 7975000000 | 11135300000 | 14314800000 | 18057100000 | 17987000000 | 19457000000 | 25966300000 | 32230440000 | 32865000000 | 20112700000 | 20029080000 | 21688024000 | 20031024000 | 17626024000 | 19476747000 | 22024000000 | 11022500000 | 12208300000 | 18655399000 | 20488290000 | 24049500000 | 33047270000 | 38173360000 | |||||||||||
Short-term debt (% of total reserves) | DT.DOD.DSTC.IR.ZS | 250.6646258106 | 100.3044735616 | 88.5181368008 | 59.928101154 | 191.6168259927 | 91.9426965374 | 75.8886339411 | 66.7229549691 | 50.1286462018 | 40.7910754818 | 52.4006677857 | 79.251642341 | 94.6238641899 | 94.3809558079 | 100.9976274609 | 122.8198474093 | 89.6451711654 | 106.4106428182 | 119.0398393614 | 128.630774939 | 138.2005723981 | 157.2641639025 | 144.1952030092 | 146.0611022067 | 174.1820898889 | 166.169261856 | 187.9417691865 | 85.2022059799 | 73.2455977052 | 73.88708402 | 71.2755596734 | 55.023576484 | 53.7197639593 | 60.6542401734 | 31.7369599715 | 28.6599726277 | 32.7657067259 | 39.6747515852 | 36.3731003224 | 34.3487540689 | 34.6600113401 | ||||||||||||
Short-term debt (% of exports of goods, services and income) | DT.DOD.DSTC.XP.ZS | 13.1602218828 | 16.9972736674 | 23.3514547468 | 24.4131455399 | 30.0362480759 | 40.4833458552 | 33.7738901869 | 31.4787084698 | 31.3840462792 | 37.4875437651 | 42.8920716726 | 47.5124325747 | 43.244217916 | 42.2353911609 | 47.8826826974 | 55.5725985827 | 50.488524288 | 35.4347795317 | 34.6938214289 | 29.6774910416 | 30.878984837 | 26.2504068626 | 27.6435996342 | 25.969372314 | 10.7789492135 | 10.3781170483 | 13.9250051317 | 12.9308986816 | 17.8511601834 | 18.6993007489 | 17.0051254094 | ||||||||||||||||||||||
Short-term debt (% of total external debt) | DT.DOD.DSTC.ZS | 0 | 9.4495 | 9.9235 | 9.8751 | 9.8781 | 9.8714 | 9.8715 | 11.6875 | 9.8971 | 11.3189 | 13.2536 | 14.3842 | 14.3873 | 15.346 | 16.8867 | 16.4757 | 15.0672 | 12.1088 | 12.445 | 13.4304 | 15.9421 | 18.0008 | 20.5244 | 20.1768 | 18.0477 | 20.8751 | 24.987 | 24.1083 | 13.2786 | 13.1954 | 15.0973 | 15.1352 | 13.758 | 14.5588 | 16.0189 | 7.7722 | 8.9794 | 12.6174 | 12.975 | 13.4059 | 16.9324 | 17.8764 | |||||||||||
IBRD loans and IDA credits (DOD, current US$) | DT.DOD.MWBG.CD | 211174000 | 374870000 | 630653000 | 868753000 | 1059384000 | 1264416000 | 1605480000 | 1940922000 | 2441849000 | 2898976000 | 3176107000 | 4434150000 | 5914558000 | 8256248000 | 8863664000 | 9395822000 | 10384701000 | 11426099000 | 11453393000 | 12079592000 | 12784569000 | 13258744000 | 11874037000 | 10706352000 | 11385830000 | 12106230000 | 12428293000 | 12156957000 | 11522949000 | 10658668000 | 9939149000 | 9132342000 | 8740862000 | 8370641000 | 8973924000 | 10110817000 | 11366849000 | 11993992000 | |||||||||||||||
Present value of external debt (current US$) | DT.DOD.PVLX.CD | 180032557350 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Present value of external debt (% of exports of goods, services and primary income) | DT.DOD.PVLX.EX.ZS | 105.37778747 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Present value of external debt (% of GNI) | DT.DOD.PVLX.GN.ZS | 26.586030829 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Net financial flows, bilateral (NFL, current US$) | DT.NFL.BLAT.CD | 0 | 221430000 | 317928000 | 398351000 | 328844000 | 330585000 | 548734000 | 486122000 | 521087000 | 303444000 | 412494000 | 555359000 | 448746000 | 571594000 | 497968000 | 188224000 | 240137000 | 1181618000 | 1160731000 | 1525866000 | 1297156000 | 1934941000 | 2329560000 | 1490359000 | 1665435000 | 638976000 | 541550000 | 616005000 | 1375568000 | 1950680000 | 817594000 | 559096000 | 6771000 | 94149000 | -1906499000 | -668967000 | -1467450000 | -3187823000 | -2048666000 | -1102758000 | 5853000 | -1579661000 | |||||||||||
Portfolio investment, bonds (PPG + PNG) (NFL, current US$) | DT.NFL.BOND.CD | 97854000 | 62747000 | 39743000 | 41179000 | 311252000 | 358452000 | -44946000 | -40377000 | 268578000 | -102706000 | -158321000 | -176389000 | 26425000 | 382648000 | 155321000 | 8448000 | 2248137000 | 3743795000 | 3119549000 | -1457760000 | -2050260000 | -1376400000 | -405632000 | -350000000 | 1440000000 | 1711203000 | 1565585000 | 1267035000 | 4187047000 | 5112499000 | 2329035000 | 1619000000 | |||||||||||||||||||||
Net official flows from UN agencies, IAEA (current US$) | DT.NFL.IAEA.CD | 470000 | 560000 | 660000 | 560000 | 380000 | ||||||||||||||||||||||||||||||||||||||||||||||||
Net official flows from UN agencies, IFAD (current US$) | DT.NFL.IFAD.CD | 0 | 0 | 470000 | 2730000 | 3590000 | 3510000 | 12080000 | 13230000 | 15550000 | 10780000 | 10090000 | 8640000 | 4390000 | -2270000 | 420000 | -970000 | -30000 | 1620000 | 1670000 | -3830000 | -3830000 | -6810000 | 6670000 | -2780000 | -1090000 | -2230000 | -4560000 | -1440000 | 1700000 | 720000 | -1520000 | 6850000 | |||||||||||||||||||||
Net financial flows, IMF concessional (NFL, current US$) | DT.NFL.IMFC.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
Net financial flows, IMF nonconcessional (NFL, current US$) | DT.NFL.IMFN.CD | 0 | -13130000 | -19814000 | -104884000 | -45438000 | 40831000 | 0 | -75900000 | 0 | 0 | 0 | 0 | 0 | 454000000 | -3700000 | -385320000 | 0 | 606318000 | -56407000 | 0 | -157113000 | -316750000 | -163012000 | 0 | 0 | 0 | 0 | 3029424000 | 5772204000 | 1382434000 | 1122671000 | -1357460000 | -949915000 | 555300000 | -1004916000 | -1144655000 | -8037122000 | 0 | 0 | 0 | 0 | 0 | |||||||||||
Net financial flows, IBRD (NFL, current US$) | DT.NFL.MIBR.CD | 56808000 | 156366000 | 189141000 | 161160000 | 175585000 | 300629000 | 269011000 | 425884000 | 401798000 | 672843000 | 611339000 | 579526000 | 1004135000 | 1219195000 | 783428000 | 436363000 | 790016000 | 326560000 | 430382000 | -55577000 | 89803000 | -503056000 | -245178000 | 479068000 | 732703000 | 290148000 | -280029000 | -706026000 | -949980000 | -825623000 | -805217000 | -706386000 | -601474000 | 146688000 | 908567000 | 1177386000 | 663551000 | ||||||||||||||||
Net financial flows, IDA (NFL, current US$) | DT.NFL.MIDA.CD | 26808000 | 32047000 | 59157000 | 76337000 | 106889000 | 99417000 | 48959000 | 29469000 | 29446000 | 40437000 | 66431000 | 75046000 | 55318000 | 49009000 | 32731000 | 12427000 | 8722000 | -4835000 | -7048000 | -11159000 | -13362000 | -15282000 | -17604000 | -19876000 | -20387000 | -20387000 | -20387000 | -21073000 | -12354000 | 33158000 | 12292000 | 59779000 | 63776000 | 94754000 | 40129000 | 288324000 | 192078000 | 466563000 | 212814000 | 110016000 | -30207000 | ||||||||||||
Net financial flows, multilateral (NFL, current US$) | DT.NFL.MLAT.CD | 0 | 27553000 | 36007000 | 74679000 | 87611000 | 183913000 | 290198000 | 266041000 | 207586000 | 251723000 | 393256000 | 418192000 | 618369000 | 608136000 | 873359000 | 791463000 | 774526000 | 1335564000 | 1699969000 | 1409174000 | 1117056000 | 1317873000 | 776320000 | 862780000 | -34136000 | 488245000 | -1284191000 | -84943000 | 1380113000 | 1479282000 | 634557000 | -48546000 | -291550000 | -908594000 | -738659000 | -289682000 | -99702000 | 163346000 | 921542000 | 1110559000 | 1367139000 | 205969000 | |||||||||||
Net financial flows, others (NFL, current US$) | DT.NFL.MOTH.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2022000 | 3708000 | 3880000 | 12237000 | 7760000 | 12557000 | 11756000 | 15477000 | 1663000 | 24088000 | 95117000 | 12066000 | 812000 | 13036000 | 17396000 | 50276000 | -7703000 | 49529000 | 20995000 | -10584000 | -21733000 | -37460000 | -33856000 | -36293000 | -38258000 | 585000 | 0 | 0 | 0 | 0 | -962000 | |||||||||||
Commercial banks and other lending (PPG + PNG) (NFL, current US$) | DT.NFL.PCBO.CD | -1887000 | 280001000 | 621827000 | 815168000 | 1090968000 | 1749003000 | 1314272000 | 603393000 | 35059000 | 36633000 | 767515000 | 1045697000 | 1089884000 | 2602496000 | 1247091000 | 194508000 | 259674000 | 404055000 | 221036000 | 256383000 | 1772051000 | 1585160000 | 2491962000 | -3413554000 | 1481788000 | 59944000 | 3139182000 | 2879067000 | -3140160000 | -5605665000 | -3018550000 | -2829308000 | -5869554000 | -4808225000 | -3439268000 | -2617447000 | 2047298000 | 1218179000 | 3168683000 | 5872672000 | 3563115000 | 11338425000 | |||||||||||
Net financial flows, RDB concessional (NFL, current US$) | DT.NFL.RDBC.CD | 0 | 745000 | 3960000 | 15522000 | 10613000 | 17697000 | 22929000 | 12171000 | 5134000 | 2473000 | 3249000 | 2200000 | 773000 | -5000 | 911000 | 4592000 | 1792000 | 29076000 | 58182000 | 57097000 | 107862000 | 14880000 | 36911000 | 45391000 | 35387000 | 40274000 | 22553000 | 16939000 | -1298000 | 537000 | 17936000 | 10493000 | 8045000 | 36437000 | 36600000 | 48220000 | 75788000 | 100857000 | 24569000 | 88554000 | 66137000 | 38611000 | |||||||||||
Net financial flows, RDB nonconcessional (NFL, current US$) | DT.NFL.RDBN.CD | 0 | 0 | 0 | 0 | 661000 | 2519000 | 11486000 | 15770000 | 11823000 | 44219000 | 48941000 | 78528000 | 112958000 | 147145000 | 138359000 | 135041000 | 168224000 | 281875000 | 411950000 | 574034000 | 559902000 | 431222000 | 416065000 | 403799000 | -7106000 | 361159000 | -833577000 | 171386000 | 873887000 | 737401000 | 303899000 | 230431000 | 384112000 | -24971000 | -8097000 | 465444000 | 241987000 | 471885000 | 283722000 | -99376000 | 13600000 | -465024000 | |||||||||||
Net official flows from UN agencies, UNAIDS (current US$) | DT.NFL.UNAI.CD | 560000 | 650000 | 690000 | 1170000 | 520000 | 970000 | |||||||||||||||||||||||||||||||||||||||||||||||
Net official flows from UN agencies, UNICEF (current US$) | DT.NFL.UNCF.CD | 2520000 | 4280000 | 2540000 | 3240000 | 7610000 | 3910000 | 3510000 | 2980000 | 4190000 | 7050000 | 10780000 | 13050000 | 13030000 | 9590000 | 11430000 | 7560000 | 9250000 | 10530000 | 11890000 | 11250000 | 9980000 | 11270000 | 14760000 | 13780000 | 11750000 | 13190000 | 13920000 | 10930000 | 7100000 | 7730000 | 6730000 | 5130000 | 5090000 | 5590000 | 5530000 | 6360000 | 7650000 | 5500000 | 5230000 | 6290000 | 6910000 | ||||||||||||
Net official flows from UN agencies, UNHCR (current US$) | DT.NFL.UNCR.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16670000 | 9550000 | 3800000 | 7000000 | 4530000 | 3600000 | 3230000 | 2470000 | 2870000 | 1680000 | 1980000 | 3990000 | 6370000 | 4070000 | 2960000 | 1960000 | 420000 | 580000 | 730000 | 470000 | 870000 | 1140000 | 6090000 | 5760000 | 5920000 | 0 | 1010000 | 240000 | 1080000 | 980000 | 930000 | 960000 | |||||||||||
Net official flows from UN agencies, UNDP (current US$) | DT.NFL.UNDP.CD | 3200000 | 2680000 | 4050000 | 4440000 | 4500000 | 6680000 | 7970000 | 11620000 | 8420000 | 7640000 | 12450000 | 10900000 | 13010000 | 15300000 | 17780000 | 16870000 | 16290000 | 14260000 | 15630000 | 21150000 | 20590000 | 19080000 | 11580000 | 13680000 | 12580000 | 11480000 | 11660000 | 10380000 | 8860000 | 8090000 | 4930000 | 4130000 | 3150000 | 3820000 | 4110000 | 5890000 | 7840000 | 8150000 | 9600000 | 8040000 | 5800000 | 4300000 | 5520000 | ||||||||||
Net official flows from UN agencies, UNECE (current US$) | DT.NFL.UNEC.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net official flows from UN agencies, UNFPA (current US$) | DT.NFL.UNFP.CD | 1530000 | 0 | 6150000 | 5180000 | 2620000 | 2600000 | 2350000 | 4090000 | 2230000 | 3250000 | 4100000 | 5280000 | 2150000 | 3620000 | 2640000 | 2130000 | 5260000 | 850000 | 2860000 | 2290000 | 5390000 | 4070000 | 2500000 | 6780000 | 6150000 | 4480000 | 3340000 | 4290000 | 4320000 | 5020000 | 5360000 | 5610000 | 6270000 | ||||||||||||||||||||
Net official flows from UN agencies, UNPBF (current US$) | DT.NFL.UNPB.CD | 0 | 0 | 0 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||
Net official flows from UN agencies, UNRWA (current US$) | DT.NFL.UNRW.CD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||||||||||||||||||||||||
Net official flows from UN agencies, UNTA (current US$) | DT.NFL.UNTA.CD | 740000 | 840000 | 1010000 | 1260000 | 1150000 | 1570000 | 1550000 | 1760000 | 2150000 | 2400000 | 2140000 | 380000 | 3200000 | 3120000 | 4040000 | 2720000 | 4550000 | 3630000 | 5140000 | 3650000 | 5230000 | 4310000 | 6650000 | 5780000 | 8650000 | 6040000 | 12930000 | 3670000 | 6590000 | 3960000 | 6650000 | 6630000 | 6410000 | 7110000 | 6780000 | 6880000 | 9350000 | 5480000 | 6750000 | 1110000 | 0 | 0 | |||||||||||
Net official flows from UN agencies, WFP (current US$) | DT.NFL.WFPG.CD | 640000 | 370000 | 740000 | 1420000 | 8180000 | 6950000 | 17620000 | 6220000 | 5960000 | 6830000 | 12220000 | 4630000 | 12310000 | 7850000 | 15990000 | 10050000 | 4420000 | 8980000 | 5240000 | 2680000 | 7600000 | 7960000 | 7630000 | 14740000 | 3560000 | 5600000 | 1170000 | 0 | 0 | 1940000 | 50000 | 10000 | 240000 | 380000 | 20000 | 620000 | 7570000 | 67070000 | 20000 | 560000 | 2740000 | 460000 | |||||||||||
Net official flows from UN agencies, WHO (current US$) | DT.NFL.WHOL.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net official development assistance and official aid received (current US$) | DT.ODA.ALLD.CD | 83080000 | 113800000 | 157730000 | 108150000 | 66900000 | 42870000 | 82930000 | 229440000 | 326030000 | 328680000 | 465080000 | 585240000 | 498920000 | 612830000 | 660540000 | 686670000 | 666630000 | 512920000 | 631060000 | 718910000 | 945910000 | 971870000 | 901770000 | 742220000 | 670680000 | 601470000 | 709110000 | 1244160000 | 1630260000 | 1835460000 | 1715860000 | 1824480000 | 1969230000 | 1931720000 | 1548420000 | 1301190000 | 1070620000 | 805520000 | 1254140000 | 2122660000 | 1653000000 | 1464810000 | 1304650000 | 1771570000 | 131870000 | 2533990000 | 1318320000 | 903880000 | 1230620000 | 1046530000 | 1392510000 | ||
Net official development assistance and official aid received (constant 2010 US$) | DT.ODA.ALLD.KD | 831720000 | 1157460000 | 1411170000 | 802060000 | 552340000 | 463820000 | 765960000 | 2074150000 | 2493210000 | 2271760000 | 3154710000 | 3605200000 | 2730790000 | 2879690000 | 2877660000 | 2696310000 | 2487850000 | 1708460000 | 1766370000 | 1878580000 | 2335630000 | 2409770000 | 2352020000 | 1923410000 | 1784630000 | 1620510000 | 1517420000 | 2145130000 | 2521830000 | 2931500000 | 2643600000 | 2622280000 | 2602490000 | 2454890000 | 1867590000 | 1457250000 | 1254300000 | 1061750000 | 1704210000 | 2609660000 | 2184000000 | 2068420000 | 1856830000 | 2246420000 | 201520000 | 3030820000 | 1504200000 | 919330000 | 1207280000 | 1111630000 | 1392510000 | ||
Net official aid received (current US$) | DT.ODA.OATL.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net official aid received (constant 2010 US$) | DT.ODA.OATL.KD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net official development assistance received (current US$) | DT.ODA.ODAT.CD | 83080000 | 113800000 | 157730000 | 108150000 | 66900000 | 42870000 | 82930000 | 229440000 | 326030000 | 328680000 | 465080000 | 585240000 | 498920000 | 612830000 | 660540000 | 686670000 | 666630000 | 512920000 | 631060000 | 718910000 | 945910000 | 971870000 | 901770000 | 742220000 | 670680000 | 601470000 | 709110000 | 1244160000 | 1630260000 | 1835460000 | 1715860000 | 1824480000 | 1969230000 | 1931720000 | 1548420000 | 1301190000 | 1070620000 | 805520000 | 1254140000 | 2122660000 | 1653000000 | 1464810000 | 1304650000 | 1771570000 | 131870000 | 2533990000 | 1318320000 | 903880000 | 1230620000 | 1046530000 | 1392510000 | ||
Net ODA received (% of gross capital formation) | DT.ODA.ODAT.GI.ZS | 41.1771406415 | 42.6313492754 | 27.5101812863 | 30.4207002242 | 32.3398880704 | 19.6822917248 | 17.1511733359 | 12.427253652 | 9.0261172631 | 7.0320337066 | 4.5323687749 | 4.8652713191 | 5.2533676625 | 5.0377505969 | 3.937077935 | 3.4301206808 | 2.7758645883 | 2.8527965728 | 2.4632547998 | 2.9977327732 | 5.4268953866 | 6.3656242199 | 5.5556257755 | 4.8895207331 | 4.5113404362 | 4.6444432339 | 4.1472862315 | 2.8184907363 | 2.0161923692 | 1.5342097061 | 1.1758903882 | 7.8330112865 | 13.3378865493 | 4.5028511472 | 4.0505132918 | 3.1152596236 | 2.9477908737 | 0.2134315408 | 3.5341622977 | 1.4236454811 | 0.8391820989 | 0.8670559022 | 0.6259529302 | 0.6037714027 | |||||||||
Net ODA received (% of GNI) | DT.ODA.ODAT.GN.ZS | 3.8055465545 | 4.3417133402 | 3.7112354028 | 4.7956957776 | 5.9377032973 | 4.3538158969 | 3.6320648128 | 2.4956219948 | 2.1914213671 | 1.7160084029 | 1.0778467175 | 1.1850269163 | 1.3631161762 | 1.2644790888 | 1.086774767 | 1.0005748628 | 0.9065119654 | 0.8129459099 | 0.7266186506 | 0.9329874103 | 1.7302981296 | 1.925161227 | 1.894299139 | 1.571174386 | 1.6431794397 | 1.6155094821 | 1.2709313804 | 0.8994641239 | 0.6632368145 | 0.4838382254 | 0.3846066271 | 1.3925064685 | 1.641175936 | 1.0996728139 | 1.021399858 | 0.7568551849 | 0.7847595717 | 0.0538132374 | 0.9317584319 | 0.377701183 | 0.2180959906 | 0.2500692864 | 0.2009873634 | 0.2023646423 | |||||||||
Net official development assistance received (constant 2010 US$) | DT.ODA.ODAT.KD | 831720000 | 1157460000 | 1411170000 | 802060000 | 552340000 | 463820000 | 765960000 | 2074150000 | 2493210000 | 2271760000 | 3154710000 | 3605200000 | 2730790000 | 2879690000 | 2877660000 | 2696310000 | 2487850000 | 1708460000 | 1766370000 | 1878580000 | 2335630000 | 2409770000 | 2352020000 | 1923410000 | 1784630000 | 1620510000 | 1517420000 | 2145130000 | 2521830000 | 2931500000 | 2643600000 | 2622280000 | 2602490000 | 2454890000 | 1867590000 | 1457250000 | 1254300000 | 1061750000 | 1704210000 | 2609660000 | 2184000000 | 2068420000 | 1856830000 | 2246420000 | 201520000 | 3030820000 | 1504200000 | 919330000 | 1207280000 | 1111630000 | 1392510000 | ||
Net ODA received (% of imports of goods and services) | DT.ODA.ODAT.MP.ZS | 3.7824783996 | 3.3733727368 | 2.8201991033 | 2.7742709411 | 2.7154401806 | 3.5205540661 | 5.8722801718 | 7.0816211285 | 6.83394147 | 5.1823014195 | 4.8144395187 | 4.7616548989 | 4.3667518141 | 3.1294488571 | 2.1109164355 | 1.6076099524 | 1.134263627 | 2.3169398174 | 3.9409470521 | 2.4707285548 | 2.4623405251 | 2.1365907739 | 2.7586581222 | 0.1562747961 | 2.3732075212 | 1.1808819605 | 0.7029604709 | 0.7518320914 | 0.8133353738 | 0.7902290905 | |||||||||||||||||||||||
Net ODA received per capita (current US$) | DT.ODA.ODAT.PC.ZS | 0.9035678226 | 1.2077375307 | 1.633115968 | 1.0922231189 | 0.6588614596 | 0.4116309172 | 0.7762087643 | 2.0931870948 | 2.8990492162 | 2.8486971059 | 3.9293102653 | 4.8205293863 | 4.0071403109 | 4.8003994414 | 5.0475518216 | 5.1203553824 | 4.8523797591 | 3.6457964462 | 4.3815480905 | 4.8771509309 | 6.2717791012 | 6.2995773617 | 5.7161442519 | 4.6030379331 | 4.0719600857 | 3.577639959 | 4.135419038 | 7.1189486683 | 9.1584141729 | 10.1295887685 | 9.3078264122 | 9.7330620458 | 10.3364903083 | 9.9817260397 | 7.8804633632 | 6.5255154857 | 5.2933633623 | 3.9281496985 | 6.0341815934 | 10.0785916101 | 7.7461834453 | 6.7751447445 | 5.9565888335 | 7.9858281156 | 0.587115608 | 11.1480624941 | 5.7338566949 | 3.8882956682 | 5.2377695493 | 4.4080290885 | 5.8052468441 | ||
Net ODA received (% of central government expense) | DT.ODA.ODAT.XP.ZS | 13.9214387152 | 13.1350160948 | 11.4154703879 | 8.9193796886 | 6.775324104 | 4.7449636297 | 2.9780829764 | 9.9698057269 | 9.370179348 | 4.3318870472 | 4.9344885715 | 0.32418591 | 5.3606730936 | 2.0311315981 | 1.2189641962 | 1.3075692045 | 1.2315101424 | 1.3639363734 | |||||||||||||||||||||||||||||||||||
Debt service on external debt, total (TDS, current US$) | DT.TDS.DECT.CD | 4596000 | 235690000 | 323171000 | 549852000 | 741793000 | 1060245000 | 1340039000 | 2057224000 | 2832918000 | 3064726000 | 3084303000 | 3492124000 | 3856131000 | 3741249000 | 4846087000 | 5822696000 | 5983760000 | 7001329000 | 8641907000 | 9832537000 | 9945737000 | 11469027000 | 12454820000 | 14086664000 | 14264883000 | 16418453000 | 21545038000 | 19738959000 | 18311943000 | 17679123000 | 16637729000 | 15482978000 | 16881606000 | 18479803000 | 20500576000 | 20258166000 | 28319638000 | 23960624000 | 21377183000 | 24897916000 | 29342342000 | 31240472000 | |||||||||||
Total debt service (% of exports of goods, services and income) | DT.TDS.DECT.EX.ZS | 14.0369965431 | 18.1260270753 | 18.8324222289 | 21.8765213073 | 28.9125378619 | 37.4640621087 | 37.1778302889 | 40.4394337857 | 38.6940183385 | 33.4828204956 | 34.3651555103 | 32.7715300618 | 33.8670577487 | 30.9648411045 | 30.2761492928 | 37.1485387175 | 30.3237763849 | 32.2621857335 | 30.6232905546 | 22.7667607408 | 23.8679082454 | 25.141746431 | 26.2286240844 | 24.173042626 | 20.8809976966 | 25.19043536 | 18.8172444717 | 14.1381556693 | 19.3885871822 | 17.39459702 | 14.5012607133 | ||||||||||||||||||||||
Total debt service (% of GNI) | DT.TDS.DECT.GN.ZS | 0.0473918848 | 2.3912536569 | 2.8201455889 | 3.2588125605 | 2.8026083604 | 3.3836392261 | 3.449466997 | 4.323036995 | 5.319754194 | 5.8109882824 | 4.1230525599 | 3.9049998936 | 4.2786383959 | 4.5693823718 | 5.8740481388 | 7.0342319819 | 7.872929089 | 9.7370004451 | 10.205160087 | 10.1477375556 | 9.1070875387 | 10.3293373233 | 10.2176382686 | 9.268001223 | 8.2863502734 | 8.3687412808 | 9.736706723 | 9.4246380514 | 20.332258821 | 13.6689583998 | 11.068395805 | 10.7961520815 | 9.7933783247 | 8.1860735323 | 8.3658327442 | 7.4490100531 | 8.1136300549 | 5.7814267684 | 4.3439704365 | 4.7816751457 | 4.2641363737 | 3.7973306806 | |||||||||||
Debt service (PPG and IMF only, % of exports, excluding workers' remittances) | DT.TDS.DPPF.XP.ZS | 8.1964948951 | 10.511098054 | 12.7557082452 | 14.7232168653 | 21.8103977357 | 29.3999499123 | 30.2630044605 | 32.9686803931 | 30.5652552044 | 25.6219263399 | 23.7446095763 | 21.9529482963 | 21.4481968553 | 19.0845728054 | 17.5003522101 | 20.2584788868 | 13.7010584693 | 12.8887974141 | 16.655101807 | 11.127564868 | 13.6797238266 | 13.6275139482 | 12.7174827806 | 13.6285223634 | 9.3980545827 | 14.7682502142 | 8.0557555581 | 5.8063646798 | 7.3133878861 | 5.0174462526 | |||||||||||||||||||||||
Debt service on external debt, public and publicly guaranteed (PPG) (TDS, current US$) | DT.TDS.DPPG.CD | 4596000 | 104681000 | 140415000 | 207968000 | 291995000 | 523916000 | 761039000 | 1262324000 | 2064918000 | 2103726000 | 1763303000 | 2039124000 | 2236131000 | 2524099000 | 3228217000 | 3987606000 | 4691830000 | 5677151000 | 6947864000 | 7715739000 | 7394736000 | 7576614000 | 8175298000 | 8921163000 | 8791881000 | 9490266000 | 11749310000 | 8918567000 | 7133893000 | 9249321000 | 7605836000 | 6651881000 | 6512098000 | 7426164000 | 10297826000 | 8152817000 | 9043414000 | 10792336000 | 9200546000 | 9865053000 | 8879436000 | 9779860000 | |||||||||||
Public and publicly guaranteed debt service (% of GNI) | DT.TDS.DPPG.GN.ZS | 0.0473918848 | 1.0620680727 | 1.2253288286 | 1.2325657278 | 1.1032021443 | 1.6720123451 | 1.9590317251 | 2.6526393585 | 3.8775764744 | 3.9888483132 | 2.3571584724 | 2.280210841 | 2.4811387255 | 3.0828136473 | 3.9129924949 | 4.8173124024 | 6.1731160487 | 7.8954184004 | 8.2046780164 | 7.9630815953 | 6.7711933341 | 6.8237176331 | 6.7068201469 | 5.869476946 | 5.1071295522 | 4.8373364311 | 5.3097880666 | 4.2582927454 | 7.9209595004 | 7.1512927409 | 5.0598494107 | 4.6383014239 | 3.7778064126 | 3.2895980854 | 4.202315581 | 2.9978239784 | 2.5909552809 | 2.6040682515 | 1.8696055427 | 1.894595465 | 1.2903920902 | 1.1887580453 | |||||||||||
Public and publicly guaranteed debt service (% of exports, excluding workers' remittances) | DT.TDS.DPPG.XP.ZS | 8.1964948951 | 10.511098054 | 12.7056226719 | 14.5730272662 | 19.8004171011 | 29.3753443526 | 30.146298853 | 32.5122321011 | 30.3637755303 | 24.8947481821 | 22.7021453826 | 21.5111116958 | 21.4481968553 | 19.0845728054 | 17.5003522101 | 20.2584788868 | 13.7010584693 | 12.5685723775 | 16.0214194118 | 10.4076853545 | 10.2542602184 | 9.6984562162 | 10.5400508839 | 12.1425752551 | 7.9726741112 | 7.6876886224 | 8.0557555581 | 5.8067963769 | 7.3225073836 | 5.0242953274 | 4.3566441567 | ||||||||||||||||||||||
Multilateral debt service (TDS, current US$) | DT.TDS.MLAT.CD | 0 | 155000 | 384000 | 893000 | 1515000 | 4213000 | 9238000 | 37863000 | 71849000 | 112458000 | 145140000 | 183014000 | 256659000 | 316968000 | 383669000 | 489369000 | 786054000 | 1032716000 | 1272709000 | 1385610000 | 1666554000 | 1878040000 | 2073824000 | 2281237000 | 3282873000 | 2691754000 | 4217865000 | 2690851000 | 2027596000 | 2306079000 | 2498761000 | 2531319000 | 2784476000 | 2931058000 | 2852203000 | 2821883000 | 2807708000 | 2832154000 | 2709064000 | 2493611000 | 2332892000 | 2248782000 | |||||||||||
Multilateral debt service (% of public and publicly guaranteed debt service) | DT.TDS.MLAT.PG.ZS | 0.148068895 | 0.2734750561 | 0.4293929835 | 0.5188445008 | 0.804136541 | 1.2138668321 | 2.9994676486 | 3.4795086294 | 5.3456581323 | 8.2311434847 | 8.9751285356 | 11.477815924 | 12.557669093 | 11.8848578023 | 12.2722505684 | 16.753676071 | 18.1907439136 | 18.3179895289 | 17.9582279805 | 22.537031748 | 24.7873258424 | 25.3669529845 | 25.5710718434 | 37.3398252319 | 28.3633145794 | 35.8988315059 | 30.1713380636 | 28.4220130579 | 24.9324139577 | 32.8532064062 | 38.0541834708 | 42.7585088554 | 39.4693411026 | 27.6971372404 | 34.6123677252 | 31.0469917666 | 26.2422704408 | 29.4446003531 | 25.2772184802 | 26.2729749953 | 22.9940101392 | ||||||||||||
Agriculture value added per worker (constant 2000 US$) | EA.PRD.AGRI.KD | 449.807084493 | 461.4537710268 | 455.4879928065 | 455.7489937735 | 468.4479064463 | 480.0048618479 | 450.7781515192 | 447.7818992323 | 457.0343063639 | 487.3282595425 | 492.7884959695 | 489.68718133 | 514.9135791969 | 520.3094294167 | 518.5539872896 | 530.3155991939 | 536.9412153213 | 538.9440321265 | 534.6182332015 | 523.2577086709 | 531.5357954726 | 548.0392073952 | 566.7891413259 | 584.621129982 | 597.9048307406 | 611.3911721802 | 639.7088307769 | 652.1617182718 | 682.8915016876 | 709.6946452073 | 730.0130066562 | ||||||||||||||||||||||
Water pollution, clay and glass industry (% of total BOD emissions) | EE.BOD.CGLS.ZS | 3.50944 | 3.59607 | 3.90819 | 3.99337 | |||||||||||||||||||||||||||||||||||||||||||||||||
Water pollution, chemical industry (% of total BOD emissions) | EE.BOD.CHEM.ZS | 12.91518 | 11.89353 | 12.04421 | 13.53567 | 13.15551 | 13.12885 | 12.61799 | 13.04369 | 11.99822 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, food industry (% of total BOD emissions) | EE.BOD.FOOD.ZS | 20.96202 | 19.89326 | 19.90442 | 19.85632 | 20.81878 | 21.71315 | 22.81393 | 21.52523 | 23.10878 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, metal industry (% of total BOD emissions) | EE.BOD.MTAL.ZS | 1.40621 | 1.39972 | 1.43729 | 1.65974 | 1.35397 | 1.31883 | 1.32603 | 1.33831 | 1.3804 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, other industry (% of total BOD emissions) | EE.BOD.OTHR.ZS | 18.98535 | 19.38947 | 19.3029 | 18.82698 | 18.663 | 18.11637 | 18.67681 | 19.80799 | 19.91532 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, paper and pulp industry (% of total BOD emissions) | EE.BOD.PAPR.ZS | 4.36571 | 3.79012 | 3.94472 | 3.86134 | 3.73951 | 3.79333 | 3.75373 | 3.99829 | 4.05052 | ||||||||||||||||||||||||||||||||||||||||||||
Organic water pollutant (BOD) emissions (kg per day) | EE.BOD.TOTL.KG | 721773.6 | 719264.7 | 747562.8 | 752137.6 | 718931.7 | 731009.3 | 749807.2 | 764028.2 | 882985.4 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, textile industry (% of total BOD emissions) | EE.BOD.TXTL.ZS | 31.14417 | 33.41748 | 33.99936 | 32.67336 | 32.75858 | 30.44515 | 29.44012 | 28.98528 | 29.24901 | ||||||||||||||||||||||||||||||||||||||||||||
Water pollution, wood industry (% of total BOD emissions) | EE.BOD.WOOD.ZS | 10.22135 | 10.21643 | 9.3671 | 9.58659 | 9.51066 | 7.97486 | 7.77531 | 7.39303 | 6.30437 | ||||||||||||||||||||||||||||||||||||||||||||
Organic water pollutant (BOD) emissions (kg per day per worker) | EE.BOD.WRKR.KG | 0.1836406 | 0.1780564 | 0.1791612 | 0.1796165 | 0.1819151 | 0.1824113 | 0.1855565 | 0.1809292 | 0.1866375 | ||||||||||||||||||||||||||||||||||||||||||||
Energy production (kt of oil equivalent) | EG.EGY.PROD.KT.OE | 71730.754 | 81683.665 | 94886.647 | 97022.68 | 94304.981 | 105659.843 | 118118.546 | 119761.756 | 121392.186 | 125048.813 | 127378.594 | 114174.089 | 117085.612 | 133939.355 | 127975.188 | 136332.107 | 136870.299 | 139569.773 | 149102.31 | 168508.653 | 183105.775 | 187335.07 | 194227.155 | 207453.244 | 214479.23 | 222666.173 | 227601.172 | 229070.799 | 238015.443 | 236617.616 | 241564.258 | 248016.314 | 254879.023 | 264873.662 | 279941.002 | 313988.601 | 318303.736 | 323631.952 | 351828.268 | 381445.704 | |||||||||||||
Access to electricity (% of population) | EG.ELC.ACCS.ZS | 64.5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Electricity production from coal sources (kWh) | EG.ELC.COAL.KH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 339000000 | 4687000000 | 6337000000 | 6857000000 | 8251000000 | 9768000000 | 11046000000 | 11362000000 | 10681000000 | 12805000000 | 14367000000 | 17038000000 | 20816000000 | 24170000000 | 29365000000 | 34002000000 | 37713000000 | 42929000000 | 46459000000 | 48211000000 | 51793000000 | 58630000000 | 63817000000 | 61392000000 | 65754000000 | 68114000000 | ||||||||||||||||||||
Electricity production from coal sources (% of total) | EG.ELC.COAL.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.4045963967 | 24.0272722612 | 27.5821545158 | 27.2092377287 | 29.7698080531 | 29.9017356966 | 29.5822174612 | 27.3697395996 | 23.5264317181 | 24.9328244869 | 24.2714510162 | 25.1579942118 | 27.8933897919 | 30.97209052 | 34.179130536 | 36.4339673185 | 37.245935963 | 39.6693680291 | 40.5875980641 | 40.1213351864 | 40.6634215278 | 44.0469393275 | 44.8672970788 | 41.0821951725 | 41.9352164236 | 40.1177960362 | ||||||||||||||||||||
Electricity production from oil, gas and coal sources (% of total) | EG.ELC.FOSL.ZS | 55.979498861 | 66.9504256385 | 56.5400843882 | 58.4188521475 | 60.1003344482 | 57.1764705882 | 64.126574104 | 71.8068853127 | 76.8746976294 | 82.071447614 | 81.0735447891 | 86.7953083617 | 83.2782824112 | 82.8586110703 | 77.2024400624 | 73.0250679243 | 77.471164309 | 75.0287686997 | 72.2362534276 | 79.0828665014 | 79.4429566149 | 76.1616842917 | 80.2246696035 | 84.343237665 | 83.5369047016 | 84.4693166381 | 89.660578611 | 84.2346036546 | 85.876738637 | 84.043932494 | 82.5251348095 | 85.0467116996 | 86.5392343578 | 86.3934821867 | 86.3774829238 | 87.7445382697 | 87.1037367736 | 86.6940583657 | 86.7715993087 | 84.0221456548 | |||||||||||||
Electricity production from hydroelectric sources (kWh) | EG.ELC.HYRO.KH | 773000000 | 660000000 | 1030000000 | 1094000000 | 1193000000 | 1092000000 | 1111000000 | 1384000000 | 1434000000 | 1345000000 | 1629000000 | 1318000000 | 1816000000 | 2118000000 | 2990000000 | 5030000000 | 4457000000 | 5281000000 | 6688000000 | 5708000000 | 6627000000 | 8812000000 | 7884000000 | 6102000000 | 7530000000 | 8161000000 | 5106000000 | 9681000000 | 9401000000 | 10016000000 | 11655000000 | 9933000000 | 9099000000 | 9674000000 | 10725000000 | 9623000000 | 11286000000 | 11528000000 | 11384000000 | 17676000000 | |||||||||||||
Electricity production from hydroelectric sources (% of total) | EG.ELC.HYRO.ZS | 44.020501139 | 33.0495743615 | 43.4599156118 | 41.5811478525 | 39.8996655518 | 42.8235294118 | 35.873425896 | 28.1931146873 | 23.1253023706 | 17.928552386 | 18.9264552109 | 12.4668936814 | 14.9958711808 | 15.5483776244 | 21.2086820826 | 25.7856154201 | 19.3993471164 | 20.9555176382 | 24.1304661567 | 17.4732910889 | 17.7477236208 | 21.2270854913 | 17.3656387665 | 11.8813037891 | 12.7210987786 | 12.050380958 | 6.8420276844 | 12.405494759 | 10.9422103242 | 10.7323868203 | 11.5106563691 | 9.1787796742 | 7.9490853179 | 8.0507310903 | 8.4203501609 | 7.2294678006 | 7.9347558618 | 7.7142876262 | 7.2602503842 | 10.4108136761 | |||||||||||||
Electric power transmission and distribution losses (kWh) | EG.ELC.LOSS.KH | 64000000 | 73000000 | 405000000 | 186000000 | 187000000 | 94000000 | 114000000 | 443000000 | 630000000 | 694000000 | 716000000 | 1083000000 | 1666000000 | 2082000000 | 939000000 | 4007000000 | 5057000000 | 4285000000 | 3210000000 | 3183000000 | 4491000000 | 5029000000 | 4777000000 | 4809000000 | 7277000000 | 8313000000 | 7431000000 | 9920000000 | 11435000000 | 10745000000 | 13024000000 | 17471000000 | 19985000000 | 14242000000 | 14237000000 | 14736000000 | 15239000000 | 15094000000 | 15048000000 | 15954000000 | |||||||||||||
Electric power transmission and distribution losses (% of output) | EG.ELC.LOSS.ZS | 3.6446469248 | 3.6554832248 | 17.0886075949 | 7.0695553022 | 6.254180602 | 3.6862745098 | 3.6809815951 | 9.0242411897 | 10.1596516691 | 9.2508664356 | 8.3188102707 | 10.2440408627 | 13.7572254335 | 15.2840992512 | 6.6605192226 | 20.5413441329 | 22.0108813928 | 17.0032935201 | 11.5817578294 | 9.7437781247 | 12.0273165506 | 12.1142774553 | 10.5220264317 | 9.3636823864 | 12.2936833747 | 12.2748213336 | 9.9575220765 | 12.7117558113 | 13.3096665309 | 11.5135279936 | 12.8627017204 | 16.1444135395 | 17.4593329023 | 11.8522340488 | 11.1776713512 | 11.0707094991 | 10.7139592927 | 10.1005775009 | 9.5969999809 | 9.3965898048 | |||||||||||||
Electricity production from natural gas sources (kWh) | EG.ELC.NGAS.KH | 0 | 0 | 0 | 0 | 0 | 0 | 11000000 | 0 | 4000000 | 0 | 0 | 0 | 73000000 | 156000000 | 274000000 | 383000000 | 393000000 | 661000000 | 804000000 | 734000000 | 1051000000 | 1076000000 | 4844000000 | 18716000000 | 25401000000 | 29208000000 | 29953000000 | 27199000000 | 29167000000 | 26090000000 | 26220000000 | 23845000000 | 24409000000 | 19629000000 | 19086000000 | 19448000000 | 22372000000 | 25212000000 | 34763000000 | 40038000000 | |||||||||||||
Electricity production from natural gas sources (% of total) | EG.ELC.NGAS.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0.3551824346 | 0 | 0.0645057249 | 0 | 0 | 0 | 0.602807597 | 1.145206284 | 1.9435380905 | 1.9633977547 | 1.710554951 | 2.6229117892 | 2.9008514937 | 2.2469158478 | 2.8146759507 | 2.5919591453 | 10.6696035242 | 36.4422290588 | 42.9121686686 | 43.1279900774 | 40.1369477535 | 34.8535328942 | 33.9486701973 | 27.956067506 | 25.8952732732 | 22.0344308196 | 21.3242360177 | 16.3353112023 | 14.9846902724 | 14.6106920696 | 15.7288993567 | 16.8713237016 | 22.1704220052 | 23.5815884795 | |||||||||||||
Electricity production from nuclear sources (kWh) | EG.ELC.NUCL.KH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||||
Electricity production from nuclear sources (% of total) | EG.ELC.NUCL.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||||
Electricity production from oil sources (kWh) | EG.ELC.PETR.KH | 983000000 | 1337000000 | 1340000000 | 1537000000 | 1797000000 | 1458000000 | 1975000000 | 3525000000 | 4763000000 | 6157000000 | 6978000000 | 9176000000 | 10012000000 | 11131000000 | 10271000000 | 9175000000 | 11069000000 | 11390000000 | 10966000000 | 15332000000 | 17567000000 | 19179000000 | 20897000000 | 11796000000 | 9680000000 | 10960000000 | 16142000000 | 14366000000 | 15249000000 | 18342000000 | 19627000000 | 25261000000 | 28190000000 | 35973000000 | 39140000000 | 38717000000 | 37703000000 | 42949000000 | 35540000000 | 34505000000 | |||||||||||||
Electricity production from oil sources (% of total) | EG.ELC.PETR.ZS | 55.979498861 | 66.9504256385 | 56.5400843882 | 58.4188521475 | 60.1003344482 | 57.1764705882 | 63.7713916694 | 71.8068853127 | 76.8101919045 | 82.071447614 | 81.0735447891 | 86.7953083617 | 82.6754748142 | 81.7134047864 | 72.8543055753 | 47.0343979084 | 48.1784548422 | 45.1966191818 | 39.5655938808 | 46.934214957 | 47.046063203 | 46.1999855467 | 46.0286343612 | 22.9681841193 | 16.3532850168 | 16.1833323489 | 21.6302410656 | 18.4089802404 | 17.7489379037 | 19.6538976694 | 19.3839255733 | 23.342912851 | 24.6274002761 | 29.936835798 | 30.7293711235 | 29.0869068726 | 26.5075403382 | 28.7405394916 | 22.6659608799 | 20.3227611391 | |||||||||||||
Electricity production (kWh) | EG.ELC.PROD.KH | 1756000000 | 1997000000 | 2370000000 | 2631000000 | 2990000000 | 2550000000 | 3097000000 | 4909000000 | 6201000000 | 7502000000 | 8607000000 | 10572000000 | 12110000000 | 13622000000 | 14098000000 | 19507000000 | 22975000000 | 25201000000 | 27716000000 | 32667000000 | 37340000000 | 41513000000 | 45400000000 | 51358000000 | 59193000000 | 67724000000 | 74627000000 | 78038000000 | 85915000000 | 93325000000 | 101254000000 | 108217000000 | 114466000000 | 120163000000 | 127370000000 | 133108000000 | 142235000000 | 149437000000 | 156799000000 | 169785000000 | |||||||||||||
Electricity production from renewable sources (kWh) | EG.ELC.RNEW.KH | 773000000 | 660000000 | 1030000000 | 1094000000 | 1193000000 | 1092000000 | 1111000000 | 1384000000 | 1434000000 | 1345000000 | 1629000000 | 1396000000 | 2025000000 | 2335000000 | 3214000000 | 5262000000 | 5176000000 | 6293000000 | 7695000000 | 6833000000 | 7676000000 | 9896000000 | 8978000000 | 8041000000 | 9745000000 | 10518000000 | 7716000000 | 12303000000 | 12134000000 | 14891000000 | 17694000000 | 16182000000 | 15408000000 | 16350000000 | 17351000000 | 16313000000 | 18343000000 | 19884000000 | 20742000000 | 27128000000 | |||||||||||||
Electricity production from renewable sources, excluding hydroelectric (kWh) | EG.ELC.RNWX.KH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78000000 | 209000000 | 217000000 | 224000000 | 232000000 | 719000000 | 1012000000 | 1007000000 | 1125000000 | 1049000000 | 1084000000 | 1094000000 | 1939000000 | 2215000000 | 2357000000 | 2610000000 | 2622000000 | 2733000000 | 4875000000 | 6039000000 | 6249000000 | 6309000000 | 6676000000 | 6626000000 | 6690000000 | 7057000000 | 8356000000 | 9358000000 | 9452000000 | |||||||||||||
Electricity production from renewable sources, excluding hydroelectric (% of total) | EG.ELC.RNWX.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.7377979569 | 1.7258464079 | 1.5930113052 | 1.588877855 | 1.1893166556 | 3.1294885745 | 4.0157136622 | 3.6332804156 | 3.4438424098 | 2.8093197643 | 2.611230217 | 2.40969163 | 3.7754585459 | 3.7419965199 | 3.4803024039 | 3.4973937047 | 3.3599015864 | 3.1810510388 | 5.2236806858 | 5.9642088214 | 5.7745086262 | 5.5116803243 | 5.555786723 | 5.2021669153 | 5.0259939297 | 4.9615073646 | 5.591654008 | 5.9681503071 | 5.5670406691 | |||||||||||||
GDP per unit of energy use (PPP $ per kg of oil equivalent) | EG.GDP.PUSE.KO.PP | 1.7098844457 | 1.9218225036 | 2.0115316698 | 2.2269806618 | 2.3830162204 | 2.4542979535 | 2.4103260195 | 2.5297145397 | 2.710281201 | 2.9031811352 | 2.7112710308 | 2.9110825483 | 3.0573943796 | 3.0508303924 | 3.3433299413 | 3.3622171863 | 3.5542801624 | 3.669588895 | 3.304775227 | 3.2244504583 | 3.2010357513 | 3.302275537 | 3.3832373109 | 3.6206629258 | 3.6462919919 | 3.9064529905 | 4.1423684635 | 4.5502860734 | 4.8715777456 | 4.8625304035 | 4.9667098742 | ||||||||||||||||||||||
GDP per unit of energy use (constant 2005 PPP $ per kg of oil equivalent) | EG.GDP.PUSE.KO.PP.KD | 3.5812734241 | 3.6802424173 | 3.6308155988 | 3.8667506765 | 3.9879046953 | 3.9854777224 | 3.8284692493 | 3.9037249354 | 4.0416220427 | 4.172218785 | 3.7540458214 | 3.8982304588 | 4.0096991479 | 3.9152531921 | 4.2050143945 | 4.1326260218 | 4.2926859815 | 4.3481283929 | 3.8616077353 | 3.7133008606 | 3.6082633265 | 3.639863423 | 3.6695132032 | 3.8460136288 | 3.7673220098 | 3.9064529905 | 4.0129126433 | 4.2838874832 | 4.4871426898 | 4.4206157699 | 4.4836582959 | ||||||||||||||||||||||
Energy imports, net (% of energy use) | EG.IMP.CONS.ZS | -104.6339911488 | -123.8579836102 | -148.6617403399 | -145.2457832262 | -129.2519939008 | -145.7160050844 | -147.2270513929 | -134.2123763116 | -126.8318462589 | -124.4565412202 | -117.2545250474 | -90.0198830537 | -91.3585240146 | -110.6537209051 | -94.3910351103 | -87.7296713031 | -82.5028498424 | -81.1622107552 | -83.1504919486 | -70.8620660914 | -76.9924384758 | -73.7153521065 | -63.9695947984 | -74.9085091883 | -63.953192602 | -64.250599899 | -62.4255328083 | -67.1202718313 | -65.6663133145 | -52.5301448939 | -51.5605660287 | -50.1215526286 | -54.3189759061 | -49.5646501838 | -55.0822496658 | -69.367542885 | -72.3531497872 | -73.1405144311 | -77.2308734326 | -83.520920336 | |||||||||||||
Alternative and nuclear energy (% of total energy use) | EG.USE.COMM.CL.ZS | 0.1896488982 | 0.1555534898 | 0.232134422 | 0.2378176347 | 0.2494120228 | 0.218395947 | 0.1999817696 | 0.232769582 | 0.2304416086 | 0.2076220278 | 0.2389416815 | 0.4118442339 | 0.8425418575 | 0.8732703534 | 0.9756023242 | 1.1449391394 | 2.1594705538 | 2.8480272303 | 2.8332782457 | 2.459038202 | 2.2942861277 | 2.4310199578 | 2.1545445903 | 3.2474838124 | 3.3996758305 | 3.500744481 | 3.5097215106 | 3.8900950538 | 3.8274091748 | 5.9518040111 | 7.1348093606 | 7.0090084136 | 7.0258548243 | 6.9318301463 | 6.8012375136 | 6.6212582992 | 7.0620227162 | 8.1733781622 | 8.543713145 | 8.4716404807 | |||||||||||||
Fossil fuel energy consumption (% of total) | EG.USE.COMM.FO.ZS | 24.6718302091 | 26.8778836043 | 29.2229327739 | 31.5055031158 | 32.6164161818 | 34.4408096799 | 39.8382288011 | 42.5608299351 | 44.1508830091 | 45.4731352766 | 47.0778218972 | 47.12385574 | 46.6574538524 | 47.7023889276 | 48.559278599 | 52.4349110818 | 52.1761600543 | 51.8474915178 | 53.5964733156 | 53.4349096207 | 54.8149288752 | 55.7049153725 | 59.0786705357 | 57.4727878612 | 60.5946894432 | 61.5105168774 | 62.0448752603 | 60.6617017521 | 62.1717423624 | 62.3853327515 | 61.6827561617 | 62.744787431 | 62.5097521393 | 64.6242916444 | 65.3004553271 | 65.5735031495 | 65.0041183147 | 63.9066279911 | 65.0014608282 | 65.5291392791 | |||||||||||||
Energy use (kg of oil equivalent) per $1,000 GDP (constant 2005 PPP) | EG.USE.COMM.GD.PP.KD | 279.2302853166 | 271.7212310001 | 275.4202114613 | 258.6150708053 | 250.7582493588 | 250.9109496139 | 261.2010009437 | 256.165589672 | 247.4254122334 | 239.6806235558 | 266.3792738745 | 256.5266498632 | 249.3952695972 | 255.4113235947 | 237.8113143472 | 241.976891865 | 232.9543796864 | 229.9840091267 | 258.9594978453 | 269.3021754862 | 277.1416356069 | 274.7355831204 | 272.5157111077 | 260.0094790359 | 265.4405430182 | 255.9866975049 | 249.1955566639 | 233.4328349942 | 222.858970425 | 226.2128291749 | 223.0321612425 | ||||||||||||||||||||||
Energy use (kt of oil equivalent) | EG.USE.COMM.KT.OE | 35053.196 | 36489.056 | 38158.925 | 39561.406 | 41135.948 | 43000.798 | 47777.355 | 51133.829 | 53516.377 | 55711.815 | 58631.043 | 60085.338 | 61186.515 | 63582.715 | 65833.894 | 72621.502 | 74996.253 | 77041.328 | 81409.724 | 98622.624 | 103454.01 | 107840.25 | 118453.153 | 118606.719 | 130817.355 | 135564.907 | 140126.474 | 137069.427 | 143671.6 | 155128.428 | 159384.637 | 165210.331 | 165163.76 | 177096.434 | 180511.311 | 185388.886 | 184681.125 | 186918.673 | 198514.097 | 207848.622 | |||||||||||||
Combustible renewables and waste (metric tons of oil equivalent) | EG.USE.CRNW.KT.OE | 26338.453 | 26624.811 | 26919.189 | 27003.301 | 27616.278 | 28097.063 | 28648.156 | 29251.824 | 29765.101 | 30262.235 | 30888.732 | 31523.353 | 32122.923 | 32696.993 | 33223.151 | 33711.009 | 34246.566 | 34903.176 | 35470.421 | 43498.547 | 44372.238 | 45146.311 | 45920.479 | 46588.397 | 47101.618 | 47432.451 | 48267.129 | 48588.649 | 48849.562 | 49118.102 | 49700.01 | 49969.854 | 50316.138 | 50373.092 | 50359.599 | 51547.822 | 51588.566 | 52187.683 | 52516.56 | 54039.02 | |||||||||||||
Combustible renewables and waste (% of total energy) | EG.USE.CRNW.ZS | 75.1385208926 | 72.9665656464 | 70.5449354247 | 68.2566767218 | 67.1341717954 | 65.3407943732 | 59.9617873363 | 57.2064024386 | 55.6186772509 | 54.3192409007 | 52.6832381269 | 52.4643016904 | 52.5000042902 | 51.4243422918 | 50.4651160389 | 46.4201484018 | 45.6643693919 | 45.3044838479 | 43.5702508953 | 44.1060531912 | 42.8907859637 | 41.8640637424 | 38.766784874 | 39.2797283264 | 36.0056339619 | 34.9887386416 | 34.4454032291 | 35.4482031941 | 34.0008477667 | 31.6628632374 | 31.1824344777 | 30.2462041554 | 30.4643936418 | 28.44387708 | 27.8983066053 | 27.8052385514 | 27.9338595105 | 27.9199943817 | 26.4548265305 | 25.9992197591 | |||||||||||||
Electric power consumption (kWh) | EG.USE.ELEC.KH | 1692000000 | 1924000000 | 1965000000 | 2445000000 | 2803000000 | 2456000000 | 2983000000 | 4466000000 | 5571000000 | 6808000000 | 7891000000 | 9489000000 | 10444000000 | 11540000000 | 13159000000 | 15500000000 | 17918000000 | 20916000000 | 24506000000 | 29484000000 | 32849000000 | 36484000000 | 40623000000 | 46549000000 | 51916000000 | 59411000000 | 67196000000 | 68118000000 | 74480000000 | 82580000000 | 88230000000 | 90746000000 | 94481000000 | 105921000000 | 113133000000 | 118372000000 | 126996000000 | 134343000000 | 141751000000 | 153832000000 | |||||||||||||
Electric power consumption (kWh per capita) | EG.USE.ELEC.KH.PC | 13.9367365894 | 15.4528540811 | 15.3921722211 | 18.6835985766 | 20.9013880565 | 17.877150276 | 21.202937688 | 31.0081351571 | 37.7941715038 | 45.1398887007 | 51.148780147 | 60.1489213509 | 64.7707258943 | 70.0638447375 | 78.2718410244 | 90.3935850414 | 102.5248539088 | 117.5011291703 | 135.2444086832 | 159.9384296716 | 175.2397149561 | 191.504553763 | 209.9101613653 | 236.9045149861 | 260.3606406105 | 293.7400858518 | 327.6839149136 | 327.7436185585 | 353.638125335 | 386.9811427201 | 408.0877525484 | 414.3154181461 | 425.8985115956 | 471.5846842405 | 497.7185206498 | 514.8431979261 | 546.3092409191 | 571.7911902659 | 597.0612704165 | 641.3115399637 | |||||||||||||
Energy use (kg of oil equivalent per capita) | EG.USE.PCAP.KG.OE | 288.7276355018 | 293.0665581733 | 298.9052139303 | 302.3106048388 | 306.74220914 | 313.0015178472 | 339.5978146033 | 355.0301569042 | 363.0599767722 | 369.3926451845 | 380.0413544791 | 380.8692454109 | 379.4614124369 | 386.0354828202 | 391.5905528678 | 423.5172849593 | 429.120430993 | 432.7999155088 | 449.2862965576 | 534.9866915159 | 551.8965942178 | 566.0535838707 | 612.0798675739 | 603.6320273 | 656.0538244622 | 670.2605143943 | 683.3322159557 | 659.4971960234 | 682.1664243809 | 726.9529708865 | 737.1973059511 | 754.2942649849 | 744.5200575092 | 788.4741071933 | 794.1433770118 | 806.3241892356 | 794.4581341999 | 795.5639707137 | 836.1498610268 | 866.5018972265 | |||||||||||||
CO2 intensity (kg per kg of oil equivalent energy use) | EN.ATM.CO2E.EG.ZS | 1.1122393519 | 1.1877608727 | 1.287618375 | 1.2957323357 | 1.3118348944 | 1.4374373238 | 1.7253814072 | 1.8370201066 | 1.776957192 | 1.7013377862 | 1.7083175205 | 1.7543034376 | 1.715359569 | 1.7643872395 | 1.8416909685 | 1.6763731078 | 1.6450494933 | 1.7154733755 | 1.6087378579 | 1.5165478562 | 1.7373001878 | 1.8784830432 | 1.8454626615 | 1.8667868217 | 1.7195051375 | 1.8684089902 | 1.9886249118 | 1.5336080379 | 1.6843203319 | 1.6980700984 | 1.8502879547 | 1.8566467009 | 1.9180486688 | 1.9065056838 | 1.8945724349 | 1.8615986775 | 2.0334769132 | 2.2068269391 | 2.2758168857 | ||||||||||||||
CO2 emissions from gaseous fuel consumption (kt) | EN.ATM.CO2E.GF.KT | 4671.758 | 4932.115 | 5196.139 | 5375.822 | 5247.477 | 6061.551 | 6076.219 | 6127.557 | 6314.574 | 5001.788 | 2302.876 | 2713.58 | 1998.515 | 3146.286 | 3274.631 | 5111.798 | 5647.18 | 6629.936 | 7876.716 | 7389.005 | 12174.44 | 13410.219 | 15529.745 | 13659.575 | 24407.552 | 27095.463 | 22885.747 | 27033.124 | 23391.793 | 24975.937 | 44099.342 | 43530.957 | 52416.098 | 57707.579 | 60358.82 | 64627.208 | 79056.853 | 82107.797 | 48067.036 | 83721.277 | 48631.754 | 61213.231 | 59812.437 | 62713.034 | 61935.63 | 54495.287 | 57472.891 | 57124.526 | 60362.487 | 58338.303 | |||
CO2 emissions from gaseous fuel consumption (% of total) | EN.ATM.CO2E.GF.ZS | 21.8262806236 | 18.9516697196 | 22.5960771807 | 23.5956864639 | 23.4321270673 | 24.5507203327 | 25.9717868339 | 24.9477455957 | 22.8898045992 | 14.9791346365 | 6.428498311 | 6.9601203913 | 4.6112192233 | 6.403462945 | 6.3881536591 | 9.4726827942 | 9.1362126246 | 8.0427046263 | 8.3853841349 | 7.7700227509 | 12.8443206438 | 13.3887383759 | 14.732997043 | 13.014464398 | 21.7566109894 | 22.3475683523 | 18.7987589988 | 21.91178219 | 17.6992869232 | 19.0704185916 | 29.4848848898 | 24.2201048701 | 25.8747714643 | 26.3986043313 | 27.2606823451 | 28.7307228326 | 31.2119062441 | 29.4653314208 | 22.8661142608 | 34.5971420345 | 18.4617526275 | 20.756758101 | 19.4995696251 | 19.7962727167 | 18.3439407433 | 15.9346786473 | 16.6530308665 | 15.2111080733 | 14.6334308243 | 12.912939725 | |||
CO2 emissions (kg per 2000 US$ of GDP) | EN.ATM.CO2E.KD.GD | 1.1601915912 | 1.3294723888 | 1.1527256686 | 1.1683884151 | 1.1101384888 | 1.212450711 | 1.1170434141 | 1.1596742006 | 1.162602842 | 1.3093352781 | 1.2987883748 | 1.321083208 | 1.3612695785 | 1.405813609 | 1.3548024411 | 1.3431759251 | 1.4515778923 | 1.7819950919 | 1.8594168871 | 1.757756303 | 1.6114002876 | 1.5744995379 | 1.6388940964 | 1.5047327329 | 1.5007194335 | 1.5674248995 | 1.4852374495 | 1.4293879909 | 1.4397220419 | 1.3078820429 | 1.3702724284 | 1.5116725437 | 1.5890803593 | 1.598806037 | 1.5058357679 | 1.4113272949 | 1.4763631519 | 1.5513181907 | 1.3470899292 | 1.538561717 | 1.5962751736 | 1.7242673415 | 1.7162129891 | 1.691605829 | 1.7165471241 | 1.645049539 | 1.5735361512 | 1.610095216 | 1.6682024923 | 1.7462439554 | |||
CO2 emissions (kt) | EN.ATM.CO2E.KT | 21404.279 | 26024.699 | 22995.757 | 22783.071 | 22394.369 | 24689.911 | 23395.46 | 24561.566 | 27586.841 | 33391.702 | 35822.923 | 38987.544 | 43340.273 | 49134.133 | 51260.993 | 53963.572 | 61810.952 | 82434.16 | 93933.872 | 95096.311 | 94784.616 | 100160.438 | 105407.915 | 104956.874 | 112184.531 | 121245.688 | 121740.733 | 123372.548 | 132162.347 | 130966.905 | 149565.929 | 179730.671 | 202576.081 | 218600.871 | 221413.46 | 224941.114 | 253290.691 | 278658.997 | 210210.775 | 241988.997 | 263418.945 | 294907.474 | 306737.216 | 316792.13 | 337635.358 | 341991.754 | 345119.705 | 375544.804 | 412497.163 | 451781.734 | |||
CO2 emissions from liquid fuel consumption (kt) | EN.ATM.CO2E.LF.KT | 14719.338 | 19339.758 | 16244.81 | 15647.089 | 15720.429 | 17682.274 | 16252.144 | 17638.27 | 20593.872 | 27557.505 | 29236.991 | 31602.206 | 34590.811 | 38745.522 | 39390.914 | 40788.041 | 45848.501 | 56405.794 | 62680.031 | 63464.769 | 66189.35 | 70395.399 | 75147.831 | 77788.071 | 74253.083 | 78591.144 | 78334.454 | 75081.825 | 87314.937 | 84817.71 | 82540.503 | 103545.079 | 117200.987 | 117516.349 | 113563.323 | 113955.692 | 124733.005 | 143984.755 | 109272.933 | 106141.315 | 155103.099 | 149980.3 | 156969.602 | 162580.112 | 174035.82 | 174897.565 | 152624.207 | 166360.789 | 155517.47 | 191919.779 | |||
CO2 emissions from liquid fuel consumption (% of total) | EN.ATM.CO2E.LF.ZS | 68.7682028439 | 74.313090038 | 70.6426407272 | 68.6785771769 | 70.1981332897 | 71.6174068023 | 69.4670846395 | 71.8124813377 | 74.6510700518 | 82.5280035142 | 81.6153137476 | 81.057185854 | 79.81216685 | 78.8566310919 | 76.8438371843 | 75.5843979342 | 74.1753678215 | 68.4252669039 | 66.7278263585 | 66.7373616627 | 69.8313215723 | 70.2826389397 | 71.292398678 | 74.1143176577 | 66.1883437388 | 64.8197435277 | 64.3453116058 | 60.857805255 | 66.06642435 | 64.7627047459 | 55.1867016451 | 57.611245996 | 57.8552938834 | 53.7584084009 | 51.2901623054 | 50.6602327932 | 49.2450016649 | 51.6705925702 | 51.982555604 | 43.8620417936 | 58.8807684276 | 50.8567307453 | 51.1739671002 | 51.320754717 | 51.5454960141 | 51.1408719521 | 44.2235562875 | 44.2985197047 | 37.7014641432 | 42.480641548 | |||
CO2 emissions (metric tons per capita) | EN.ATM.CO2E.PC | 0.2327902957 | 0.2761951292 | 0.2380950862 | 0.2300896613 | 0.2205498751 | 0.237068596 | 0.2189769817 | 0.2240758062 | 0.2453013826 | 0.2894086797 | 0.3026562722 | 0.3211342382 | 0.3480929909 | 0.3848758458 | 0.3917136261 | 0.4023951335 | 0.4499200642 | 0.5859357552 | 0.6521975367 | 0.6451420369 | 0.6284616652 | 0.6492313044 | 0.6681602265 | 0.6509127649 | 0.6811160799 | 0.7211887846 | 0.7099729872 | 0.7059243476 | 0.742456732 | 0.7227838743 | 0.8113329201 | 0.9588100568 | 1.0633220588 | 1.1295705415 | 1.1268523137 | 1.1280879217 | 1.2523207709 | 1.3588914677 | 1.0114102008 | 1.1489867783 | 1.2344171028 | 1.3640272954 | 1.4004579586 | 1.4280257052 | 1.5032303669 | 1.5045621514 | 1.5010520443 | 1.6155122744 | 1.7556720024 | 1.9029239727 | |||
CO2 emissions (kg per PPP $ of GDP) | EN.ATM.CO2E.PP.GD | 0.9950016158 | 0.8889049417 | 0.8721232004 | 0.7702624448 | 0.7404008518 | 0.7503942078 | 0.6954964159 | 0.6502905634 | 0.6329503281 | 0.554129344 | 0.5593494118 | 0.5967883627 | 0.6144065207 | 0.6049050338 | 0.5583615301 | 0.5114200072 | 0.5256785917 | 0.5419203537 | 0.4640581984 | 0.5223588806 | 0.5304752056 | 0.5603069562 | 0.5487781466 | 0.529750686 | 0.5228614955 | 0.4849853408 | 0.4494044153 | 0.4468899055 | 0.4530004558 | 0.4680313945 | |||||||||||||||||||||||
CO2 emissions (kg per 2005 PPP $ of GDP) | EN.ATM.CO2E.PP.GD.KD | 0.4750650355 | 0.4641861396 | 0.4831706237 | 0.4436178364 | 0.4424346554 | 0.4621004298 | 0.4378703337 | 0.4214050735 | 0.4244517071 | 0.3855832929 | 0.4039769167 | 0.445663797 | 0.468484785 | 0.471352061 | 0.4439430277 | 0.4160805087 | 0.4352540573 | 0.4573519299 | 0.3971423674 | 0.4535911296 | 0.4706059244 | 0.5083399402 | 0.505965396 | 0.4987108351 | 0.506063904 | 0.4849853408 | 0.4639021187 | 0.4746802808 | 0.4918111796 | 0.5148189764 | |||||||||||||||||||||||
CO2 emissions from solid fuel consumption (kt) | EN.ATM.CO2E.SF.KT | 1822.499 | 1529.139 | 1301.785 | 1595.145 | 1206.443 | 762.736 | 898.415 | 619.723 | 473.043 | 561.051 | 432.706 | 553.717 | 524.381 | 355.699 | 440.04 | 546.383 | 447.374 | 509.713 | 546.383 | 652.726 | 707.731 | 792.072 | 861.745 | 1199.109 | 1884.838 | 3674.334 | 8063.733 | 8225.081 | 6919.629 | 6285.238 | 6952.632 | 13531.23 | 12519.138 | 21327.272 | 26670.091 | 25195.957 | 27583.174 | 29413.007 | 32100.918 | 37198.048 | 42016.486 | 58866.351 | 63259.417 | 65756.644 | 77733.066 | 88642.391 | 111469.466 | 128781.373 | 173368.426 | 173922.143 | |||
CO2 emissions from solid fuel consumption (% of total) | EN.ATM.CO2E.SF.ZS | 8.5146479356 | 5.8757221361 | 5.6609791102 | 7.0014485756 | 5.3872605207 | 3.0892618446 | 3.8401253918 | 2.5231412362 | 1.7147414595 | 1.68021085 | 1.2079025489 | 1.4202407825 | 1.2099162366 | 0.723934622 | 0.8584305029 | 1.0125033977 | 0.7237778832 | 0.6183274021 | 0.5816677077 | 0.6863841438 | 0.7466728567 | 0.7908032511 | 0.8175334841 | 1.1424778143 | 1.6801229039 | 3.0304863295 | 6.6236934847 | 6.6668648199 | 5.2357037818 | 4.7991040179 | 4.648539976 | 7.5286148573 | 6.1799685028 | 9.7562612182 | 12.0453792647 | 11.2011346223 | 10.8899280471 | 10.555197326 | 15.2708242477 | 15.3717931233 | 15.9504419851 | 19.9609559573 | 20.6233263198 | 20.7570320639 | 23.0227860199 | 25.9194527246 | 32.2987834033 | 34.2918798578 | 42.028998391 | 38.4969399847 | |||
Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) | EN.ATM.GHGO.KT.CE | 1720.7 | 997.4 | 1020.5 | 1146 | 1241 | ||||||||||||||||||||||||||||||||||||||||||||||||
HFC gas emissions (thousand metric tons of CO2 equivalent) | EN.ATM.HFCG.KT.CE | 0 | 0 | 0 | 0 | |||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural methane emissions (thousand metric tons of CO2 equivalent) | EN.ATM.METH.AG.KT.CE | 81997.9 | 78861.7 | 98308.3 | 88812.2 | 94321.1 | ||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural methane emissions (% of total) | EN.ATM.METH.AG.ZS | 53.8715944232 | 46.9912484709 | 37.8601902324 | 42.1163598633 | 43.0829432908 | ||||||||||||||||||||||||||||||||||||||||||||||||
Methane emissions in energy sector (thousand metric tons of CO2 equivalent) | EN.ATM.METH.EG.KT.CE | 37386.2 | 45614.3 | 49005.9 | 57518.5 | 68183.1 | ||||||||||||||||||||||||||||||||||||||||||||||||
Energy related methane emissions (% of total) | EN.ATM.METH.EG.ZS | 24.5622656608 | 27.180150886 | 18.873001532 | 27.2763183977 | 31.1439182822 | ||||||||||||||||||||||||||||||||||||||||||||||||
Methane emissions (kt of CO2 equivalent) | EN.ATM.METH.KT.CE | 152209.9 | 167822.1 | 259661.4 | 210873.4 | 218929.1 | ||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural nitrous oxide emissions (thousand metric tons of CO2 equivalent) | EN.ATM.NOXE.AG.KT.CE | 54881.3 | 59926 | 80826.5 | 63844.1 | 65585.3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Agricultural nitrous oxide emissions (% of total) | EN.ATM.NOXE.AG.ZS | 61.6993912276 | 66.0876124601 | 51.598420125 | 65.6245599356 | 71.8250274332 | ||||||||||||||||||||||||||||||||||||||||||||||||
Nitrous oxide emissions in energy sector (thousand metric tons of CO2 equivalent) | EN.ATM.NOXE.EG.KT.CE | 3692.4 | 4237.9 | 4470.7 | 4343.7 | 4063.4 | ||||||||||||||||||||||||||||||||||||||||||||||||
Nitrous oxide emissions in industrial and energy processes (% of total nitrous oxide emissions) | EN.ATM.NOXE.EI.ZS | 4.3079500166 | 4.867518191 | 2.9942168709 | 4.7149205083 | 4.6893856927 | ||||||||||||||||||||||||||||||||||||||||||||||||
Industrial nitrous oxide emissions (thousand metric tons of CO2 equivalent) | EN.ATM.NOXE.IN.KT.CE | 139.5 | 175.8 | 219.6 | 243.3 | 218.6 | ||||||||||||||||||||||||||||||||||||||||||||||||
Nitrous oxide emissions (thousand metric tons of CO2 equivalent) | EN.ATM.NOXE.KT.CE | 88949.5 | 90676.6 | 156645.3 | 97286.9 | 91312.6 | ||||||||||||||||||||||||||||||||||||||||||||||||
PFC gas emissions (thousand metric tons of CO2 equivalent) | EN.ATM.PFCG.KT.CE | 657.9 | 170.6 | 134.4 | 129.6 | |||||||||||||||||||||||||||||||||||||||||||||||||
PM10, country level (micrograms per cubic meter) | EN.ATM.PM10.MC.M3 | 132.1286322647 | 124.1658460252 | 118.4636680467 | 126.9345207933 | 112.7106327186 | 115.2575042077 | 109.8397492222 | 113.8875188373 | 122.5973623514 | 116.0215641479 | 119.7972082972 | 112.7182668824 | 107.3588885968 | 96.7243562663 | 97.3410261559 | 90.2736792313 | 83.3074471066 | 76.6405721569 | 73.8281398144 | 68.1073750818 | |||||||||||||||||||||||||||||||||
SF6 gas emissions (thousand metric tons of CO2 equivalent) | EN.ATM.SF6G.KT.CE | 1062.8 | 826.8 | 886.1 | 1016.4 | |||||||||||||||||||||||||||||||||||||||||||||||||
Bird species, threatened | EN.BIR.THRD.NO | 122 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Disaster risk reduction progress score (1-5 scale; 5=best) | EN.CLC.DRSK.XQ | 3.25 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
GHG net emissions/removals by LUCF (Mt of CO2 equivalent) | EN.CLC.GHGR.MT.CE | 164.1183 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Droughts, floods, extreme temperatures (% of population, average 1990-2009) | EN.CLC.MDAT.ZS | 0.1605897219 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
CO2 emissions from residential buildings and commercial and public services (million metric tons) | EN.CO2.BLDG.MT | 5.81 | 6.84 | 7.61 | 8.81 | 10.11 | 10.98 | 12.2 | 13.29 | 14.96 | 16.14 | 17.32 | 17.13 | 16.54 | 15.99 | 15.48 | 15.68 | 15.6 | 16.27 | 18.86 | 19.31 | 20.04 | 21.19 | 21.38 | 22.04 | 23.73 | 25.18 | 25.6 | 26.35 | 31.1 | 32.64 | 32.26 | 30.91 | 31.2 | 31.47 | 30.05 | 27.04 | 28.14 | 25.5 | 22.08 | 20.32 | |||||||||||||
CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion) | EN.CO2.BLDG.ZS | 23.1197771588 | 24.2123893805 | 23.7961225766 | 25 | 26.6332982086 | 28.189987163 | 25.8146424037 | 24.7026022305 | 24.698695724 | 23.4320557491 | 23.2889606024 | 22.2525331255 | 21.4582252206 | 20.1741105223 | 17.5809199319 | 16.0392798691 | 14.8049729525 | 14.3045542465 | 15.8394221886 | 13.2214994865 | 12.6283949839 | 12.7183242302 | 11.797163825 | 11.4630467572 | 11.0675808031 | 10.8585967485 | 10.1833804049 | 10.3805546801 | 11.3873530812 | 11.9613016711 | 11.0847678933 | 10.3976049516 | 9.5943909714 | 9.5098513236 | 8.9503782689 | 7.642736009 | 7.6247764591 | 6.9951171339 | 5.7895012848 | 4.9447607923 | |||||||||||||
CO2 emissions from electricity and heat production, total (million metric tons) | EN.CO2.ETOT.MT | 5.5 | 6.48 | 8.56 | 8.58 | 7.07 | 6.29 | 9.55 | 9.89 | 10.59 | 11.91 | 12.79 | 14.31 | 14.47 | 18.63 | 20.64 | 24.67 | 27.17 | 28.77 | 29.13 | 47.53 | 53.78 | 55.89 | 62.28 | 63.5 | 73.86 | 77.06 | 88.16 | 97.88 | 94.85 | 88.59 | 99.04 | 108.2 | 120.26 | 118.43 | 122.76 | 128.71 | 137.02 | 139.47 | 145.95 | 149.62 | |||||||||||||
CO2 emissions from electricity and heat production, total (% of total fuel combustion) | EN.CO2.ETOT.ZS | 21.8861918026 | 22.9380530973 | 26.7667292058 | 24.3473325766 | 18.6248682824 | 16.1489088575 | 20.2073635209 | 18.3828996283 | 17.4839029222 | 17.2909407666 | 17.1977948097 | 18.5892439595 | 18.7727036845 | 23.5049205148 | 23.4412265758 | 25.2352700491 | 25.7853278922 | 25.2945313874 | 24.4646006551 | 32.5436494351 | 33.8899741635 | 33.5454054378 | 34.3651713293 | 33.0264731887 | 34.4480201483 | 33.2312734486 | 35.0690162695 | 38.5597226599 | 34.7295961334 | 32.464819701 | 34.0308559255 | 36.3966630786 | 36.9814569944 | 35.7881058866 | 36.5640078632 | 36.3793103448 | 37.1267544573 | 38.2591759478 | 38.2689181394 | 36.4092081569 | |||||||||||||
CO2 emissions from manufacturing industries and construction (million metric tons) | EN.CO2.MANF.MT | 5.12 | 5.49 | 5.82 | 6.4 | 8.18 | 8.41 | 11.1 | 14.7 | 17.85 | 21.44 | 22.9 | 22.88 | 23.99 | 22.13 | 28.82 | 33.2 | 36.23 | 40.01 | 39.25 | 43.54 | 45.62 | 47.43 | 52.25 | 56.34 | 62.32 | 69.38 | 71.49 | 64.53 | 82.02 | 76.26 | 79.3 | 76.74 | 91.65 | 95.23 | 98.18 | 118.22 | 120.89 | 108.8 | 110.28 | 124.95 | |||||||||||||
CO2 emissions from manufacturing industries and construction (% of total fuel combustion) | EN.CO2.MANF.ZS | 20.3740549144 | 19.4336283186 | 18.1988742964 | 18.1611804767 | 21.5489989463 | 21.5917843389 | 23.4870926788 | 27.3234200743 | 29.4700346706 | 31.1265969803 | 30.7919860159 | 29.7220057158 | 31.1235080436 | 27.9207670956 | 32.7314026122 | 33.9607201309 | 34.3836006453 | 35.1767188324 | 32.9638028051 | 29.8117083191 | 28.7478732119 | 28.4676790109 | 28.830767533 | 29.3025432985 | 29.0658084977 | 29.9193583164 | 28.4378853574 | 25.4215253703 | 30.0318552964 | 27.946350044 | 27.2480500292 | 25.8140473628 | 28.1835234786 | 28.7773479995 | 29.2428665038 | 33.4143583946 | 32.7561914052 | 29.8458331047 | 28.9160417431 | 30.4058986713 | |||||||||||||
CO2 emissions from other sectors, excluding residential buildings and commercial and public services (million metric tons) | EN.CO2.OTHX.MT | 0.68 | 0.79 | 0.83 | 0.93 | 1.08 | 1.09 | 1.23 | 1.35 | 1.49 | 1.72 | 1.92 | 2.07 | 2.16 | 2.23 | 2.2 | 2.07 | 2.16 | 2.45 | 3.3 | 3.79 | 3.77 | 4.58 | 5.25 | 5.5 | 5.75 | 6.23 | 6.1 | 6.48 | 6.91 | 10.39 | 11.25 | 10.88 | 10.15 | 11.99 | 10.83 | 9.57 | 9.07 | 9.29 | 9.7 | 10.23 | |||||||||||||
CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion) | EN.CO2.OTHX.ZS | 2.7059291683 | 2.796460177 | 2.5953721076 | 2.639046538 | 2.8451001054 | 2.7984595635 | 2.6026237833 | 2.5092936803 | 2.4599636784 | 2.4970963995 | 2.5816861638 | 2.6890101325 | 2.802283342 | 2.8135251072 | 2.4985803521 | 2.1174304419 | 2.0499193319 | 2.1540355196 | 2.771478962 | 2.5950017117 | 2.3757010524 | 2.7489346378 | 2.8968713789 | 2.8605606699 | 2.6817779022 | 2.6866186554 | 2.4265086121 | 2.5527891585 | 2.5301160704 | 3.8075344474 | 3.865580868 | 3.6598493003 | 3.121252191 | 3.6232322011 | 3.2257103711 | 2.7049180328 | 2.457594971 | 2.5484171833 | 2.5433950391 | 2.4894145131 | |||||||||||||
CO2 emissions from transport (million metric tons) | EN.CO2.TRAN.MT | 8.02 | 8.64 | 9.16 | 10.52 | 11.53 | 12.18 | 13.19 | 14.58 | 15.68 | 17.67 | 19.44 | 20.6 | 19.93 | 20.28 | 20.9 | 22.14 | 24.21 | 26.24 | 28.53 | 31.87 | 35.48 | 37.53 | 40.07 | 44.89 | 48.75 | 54.04 | 60.03 | 58.59 | 58.23 | 65 | 69.19 | 70.55 | 71.93 | 73.8 | 73.92 | 70.27 | 73.96 | 81.48 | 93.36 | 105.83 | |||||||||||||
CO2 emissions from transport (% of total fuel combustion) | EN.CO2.TRAN.ZS | 31.9140469558 | 30.5840707965 | 28.6429018136 | 29.8524404086 | 30.3740779768 | 31.270860077 | 27.9094371562 | 27.1003717472 | 25.8874030048 | 25.6533101045 | 26.1395724082 | 26.7601974539 | 25.8562532434 | 25.58667676 | 23.7365133447 | 22.647299509 | 22.9761791781 | 23.0701600141 | 23.9606953893 | 21.8212940774 | 22.3580565883 | 22.525658724 | 22.1100259339 | 23.3473760857 | 22.7368126487 | 23.3041528311 | 23.879231473 | 23.0814686417 | 21.3210794185 | 23.8199941366 | 23.7741813559 | 23.7318353068 | 22.1193763646 | 22.3014625891 | 22.0170369929 | 19.8615036744 | 20.0401018805 | 22.3514566303 | 24.4795217369 | 25.7531513116 | |||||||||||||
Fish species, threatened | EN.FSH.THRD.NO | 141 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Plant species (higher), threatened | EN.HPT.THRD.NO | 385 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Mammal species, threatened | EN.MAM.THRD.NO | 184 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Population density (people per sq. km of land area) | EN.POP.DNST | 52.01332049 | 53.3141093085 | 54.6587932015 | 56.0501647742 | 57.489744255 | 58.9763652522 | 60.5070480302 | 62.0793063475 | 63.6900931236 | 65.3365533764 | 67.0168710014 | 68.72919291 | 70.4705272222 | 72.2375845261 | 74.0274601589 | 75.8359185679 | 77.6608422529 | 79.5038116109 | 81.3679189874 | 83.2537765585 | 85.1611745613 | 87.0838223199 | 89.0088067257 | 90.9194339716 | 92.8030432167 | 94.6539990174 | 96.4728820857 | 98.2610663678 | 100.0225655095 | 101.7603178458 | 103.474776023 | 105.1642724267 | 106.8275849125 | 108.4630712586 | 110.0704576693 | 111.647377137 | 113.1965466419 | 114.728819201 | 116.2587015683 | 117.7958406244 | 119.3459259096 | 120.9041687597 | 122.4568937441 | 123.9844615444 | 125.4730289197 | 126.9167335516 | 128.3205981552 | 129.6947697301 | 131.0545521288 | 132.4105262286 | |||
Population living in areas where elevation is below 5 meters (% of total population) | EN.POP.EL5M.ZS | 11.24608 | 11.165 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Population in largest city | EN.URB.LCTY | 2678740 | 2847651 | 2973833 | 3077862 | 3185681 | 3296964 | 3412296 | 3531663 | 3655378 | 3783069 | 3915406 | 4052372 | 4223963 | 4411693 | 4608043 | 4813132 | 5027651 | 5251100 | 5484810 | 5728921 | 5984256 | 6197362 | 6391074 | 6590842 | 6797142 | 7009306 | 7228398 | 7454338 | 7687666 | 7927626 | 8175422 | 8268203 | 8281607 | 8294997 | 8308426 | 8321877 | 8335369 | 8348845 | 8362362 | 8375901 | 8389668 | 8472279 | 8555820 | 8640184 | 8717126 | 8794539 | 8872748 | 8952592 | 9034989 | 9120729 | 9210211 | ||
Population in the largest city (% of urban population) | EN.URB.LCTY.UR.ZS | 19.9545517203 | 20.3649412548 | 20.4182236609 | 20.2896810302 | 20.1632566886 | 20.0360276043 | 19.8869431773 | 19.7423122032 | 19.6040495618 | 19.470413345 | 19.345027465 | 19.030072811 | 18.8683556582 | 18.7608718377 | 18.6705236596 | 18.5961265962 | 18.4270497026 | 18.2783645512 | 18.1515214617 | 18.0434178059 | 17.9539010398 | 17.541818767 | 17.093574811 | 16.6834827767 | 16.3115029266 | 15.9741285388 | 15.6129225645 | 15.2877828234 | 14.9956545043 | 14.7310462913 | 14.4928960759 | 13.9583612252 | 13.3344060475 | 12.7567024457 | 12.2209689151 | 11.7231791611 | 11.1745559184 | 10.6691478724 | 10.2015089225 | 9.7665949787 | 9.3607448756 | 9.0667735349 | 8.7900469206 | 8.5299939896 | 8.2787227802 | 8.0438229096 | 7.840477836 | 7.6503990005 | 7.4727467407 | 7.3063713135 | 7.1501913183 | ||
Population in urban agglomerations of more than 1 million | EN.URB.MCTY | 6433511 | 6767144 | 7028934 | 7254956 | 7489528 | 7732003 | 7983724 | 8244732 | 8515797 | 8796193 | 9087487 | 9389753 | 9768944 | 10185078 | 10621997 | 11080265 | 11561755 | 12065705 | 12595505 | 13151921 | 13737313 | 14194204 | 14587567 | 14992461 | 15409818 | 15838251 | 16279884 | 16734517 | 17203200 | 17684388 | 18180459 | 18436632 | 18570383 | 18705876 | 18843708 | 18983739 | 19126214 | 19270585 | 19417496 | 19566798 | 19718797 | 19890395 | 20065769 | 20244724 | 20345606 | 20450287 | 20559236 | 20678345 | 20812811 | 20966504 | 21141293 | ||
Population in urban agglomerations of more than 1 million (% of total population) | EN.URB.MCTY.TL.ZS | 6.9970071328 | 7.1818398812 | 7.2776671231 | 7.3268892001 | 7.3760259342 | 7.4241462254 | 7.472611287 | 7.5216904734 | 7.5722217644 | 7.6237341919 | 7.6777233927 | 7.7341911466 | 7.8460533346 | 7.9781412042 | 8.1168559522 | 8.2623231728 | 8.4157667585 | 8.5762115748 | 8.7452557414 | 8.922383017 | 9.1084133353 | 9.2005603822 | 9.2467743723 | 9.2978990991 | 9.3559020432 | 9.4208455382 | 9.494174702 | 9.5753092458 | 9.6643499012 | 9.7597102668 | 9.8621423931 | 9.8353987532 | 9.7475959588 | 9.6658381942 | 9.5902371786 | 9.5204146067 | 9.4563897971 | 9.3973759383 | 9.34255322 | 9.2905018307 | 9.2404972101 | 9.1998487962 | 9.1613486806 | 9.1258536841 | 9.0583323243 | 8.9969209625 | 8.9419649995 | 8.8953754137 | 8.8583565757 | 8.8311810953 | 8.8136117132 | ||
Pump price for diesel fuel (US$ per liter) | EP.PMP.DESL.CD | 0.51 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Pump price for gasoline (US$ per liter) | EP.PMP.SGAS.CD | 0.79 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum) | ER.BDV.TOTL.XQ | 89.9536385993 | 80.9625212947 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Water productivity, total (constant 2000 US$ GDP per cubic meter of total freshwater withdrawal) | ER.GDP.FWTL.M3.KD | 1.7148247713 | 2.4162931782 | 1.577485504 | 2.0586394361 | 2.5815082083 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, agriculture (% of total freshwater withdrawal) | ER.H2O.FWAG.ZS | 93.14 | 93.14 | 81.87 | 81.87 | 81.87 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, domestic (% of total freshwater withdrawal) | ER.H2O.FWDM.ZS | 6.361 | 6.361 | 11.59 | 11.59 | 11.59 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, industry (% of total freshwater withdrawal) | ER.H2O.FWIN.ZS | 0.5058 | 0.5058 | 6.53 | 6.53 | 6.53 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, total (billion cubic meters) | ER.H2O.FWTL.K3 | 74.34 | 74.34 | 113.3 | 113.3 | 113.3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Annual freshwater withdrawals, total (% of internal resources) | ER.H2O.FWTL.ZS | 3.6820208024 | 3.6820208024 | 5.6116889549 | 5.6116889549 | 5.6116889549 | ||||||||||||||||||||||||||||||||||||||||||||||||
Renewable internal freshwater resources, total (billion cubic meters) | ER.H2O.INTR.K3 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | 2019 | ||||||||||||||||||||||||||||||||||||||||||
Renewable internal freshwater resources per capita (cubic meters) | ER.H2O.INTR.PC | 20904.4642068307 | 18419.3895759556 | 16215.8588304355 | 14350.8988240167 | 12798.0474451953 | 11552.4991651903 | 10597.7330897776 | 9845.7322491006 | 9218.0683362024 | 8685.2999891001 | 8331.7638887223 | ||||||||||||||||||||||||||||||||||||||||||
Terrestrial protected areas (% of total land area) | ER.LND.PTLD.ZS | 10.0314711099 | 10.2555535055 | 10.8156822851 | 10.8672975267 | 10.8672979488 | 10.9087970113 | 11.0496576193 | 12.024510531 | 12.8291582511 | 13.5503170077 | 13.5503170077 | 13.5508626709 | 13.5889188387 | 13.5889188387 | 14.140797389 | 14.1441594008 | 14.1441594008 | 14.1441594008 | 14.1499768026 | 14.1499768026 | 14.1499768026 | ||||||||||||||||||||||||||||||||
Marine protected areas (% of territorial waters) | ER.MRN.PTMR.ZS | 0.4819779279 | 0.5485977101 | 0.568868693 | 0.5931880669 | 0.5931880669 | 0.6272363765 | 0.9555971649 | 1.0224272107 | 1.0241015762 | 1.0241015762 | 1.0241015762 | 1.1702357215 | 1.8480589347 | 1.8480589347 | 1.9379993481 | 1.9379993481 | 1.9379993481 | 1.9382759829 | 1.9861138019 | 1.9861138019 | 1.9861138019 | ||||||||||||||||||||||||||||||||
Terrestrial and marine protected areas (% of total territorial area) | ER.PTD.TOTL.ZS | 3.9642447001 | 4.0882839512 | 4.3054165718 | 4.3396895098 | 4.3396896638 | 4.3764549248 | 4.6364429069 | 5.0343876824 | 5.3288699885 | 5.5918438581 | 5.5918438581 | 5.6848884913 | 6.1294176981 | 6.1294176981 | 6.3878059855 | 6.3890319587 | 6.3890319587 | 6.3892077173 | 6.4217225972 | 6.4217225972 | 6.4217225972 | ||||||||||||||||||||||||||||||||
Bank nonperforming loans to total gross loans (%) | FB.AST.NPER.ZS | 34.4 | 31.9 | 24 | 6.8 | 4.5 | 7.4 | 6.1 | 4.1 | 3.2 | 3.3 | 2.6 | 2.9 | |||||||||||||||||||||||||||||||||||||||||
Automated teller machines (ATMs) (per 100,000 adults) | FB.ATM.TOTL.P5 | 8.6758388095 | 9.4228625683 | 10.6190991134 | 11.6039290349 | 13.2671973374 | 14.2657286253 | 13.3720353018 | ||||||||||||||||||||||||||||||||||||||||||||||
Bank capital to assets ratio (%) | FB.BNK.CAPA.ZS | 6 | 5.2 | 8.8 | 10.4 | 10 | 9.8 | 10.1 | 10.2 | 9.7 | 10.7 | 11.4 | ||||||||||||||||||||||||||||||||||||||||||
Commercial bank branches (per 100,000 adults) | FB.CBK.BRCH.P5 | 5.2340336973 | 5.3303421749 | 5.7854054132 | 6.0389678426 | 6.6553958166 | 7.720318724 | 8.3167100685 | ||||||||||||||||||||||||||||||||||||||||||||||
Borrowers from commercial banks (per 1,000 adults) | FB.CBK.BRWR.P3 | 161.9753240703 | 200.2342675999 | 227.822589883 | 274.7966004553 | |||||||||||||||||||||||||||||||||||||||||||||||||
Depositors with commercial banks (per 1,000 adults) | FB.CBK.DPTR.P3 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Point-of-sale terminals (per 100,000 adults) | FB.POS.TOTL.P5 | 119.9123 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Bank liquid reserves to bank assets ratio (%) | FD.RES.LIQU.AS.ZS | 35.1733802258 | 36.9288839347 | 39.5969574823 | 36.0625814155 | 29.37503431 | 39.3982879307 | 40.0674975354 | 24.2380532518 | 30.8641745849 | 30.9716945528 | 32.9148833434 | ||||||||||||||||||||||||||||||||||||||||||
Total reserves (includes gold, current US$) | FI.RES.TOTL.CD | 352739199.984593 | 133183550 | 108100019.998714 | 58079559.998943 | 25003679.999886 | 21003679.999886 | 23011659.999886 | 6012799.999886 | 87276599.999886 | 121712799.999886 | 160280179.999866 | 187819481.29997 | 580053889.26417 | 811133204.9567 | 1500130961.41571 | 592327940.99365 | 1504197779.79594 | 2536611742.8 | 2676739962.77349 | 4205180390.29715 | 6802958655.10206 | 6248011978.37647 | 4562681470.29662 | 4902568754.42369 | 5729969519.4969 | 5989249601.27633 | 5264621424.3 | 7094971114.8 | 6321736080 | 6699437804 | 8656793061.6 | 10357988937.1 | 11482018250 | 12474062676.59 | 13321137322.7019 | 14907560252.9286 | 19396150431.2003 | 17486799311.4368 | 23605844201.6735 | 27345097353.9957 | 29352929930.3718 | 28103636213.8566 | 32033584740.0475 | 36256203610.1863 | 36310734314.7824 | 34730799704.5211 | 42597039985.2572 | 56935744301.4525 | 51640625791.9553 | 66118916965.731 | 96210971535.5132 | 110136605627.115 | |
Total reserves (% of total external debt) | FI.RES.TOTL.DT.ZS | 14.632341382 | 3.7697639947 | 9.8933576243 | 11.1560409869 | 16.483283744 | 5.1516574586 | 10.7365587058 | 15.4008955671 | 14.8331105349 | 22.5796615231 | 32.4914293608 | 27.4503460893 | 18.153938521 | 16.2178932953 | 17.8920412826 | 16.3129809018 | 12.2677587046 | 13.5074525265 | 11.6952520031 | 11.2822854601 | 12.3936708527 | 13.0251437063 | 13.0509235384 | 13.9926975588 | 12.3562439189 | 11.9846599007 | 15.0370913318 | 12.8275257577 | 15.5848301927 | 18.0152516426 | 20.4329118272 | 21.2347624224 | 25.0037848747 | 27.1014484282 | 26.410145849 | 24.4893360878 | 31.3307007674 | 38.5079638389 | 32.7033038353 | 36.8567155913 | 49.295454122 | 51.5763642688 | |||||||||||
Total reserves in months of imports | FI.RES.TOTL.MO | 2.9180409333 | 2.0481885996 | 2.2353835798 | 2.8442454699 | 3.2447401903 | 3.1365036785 | 4.0184855514 | 3.2952883437 | 2.9932702974 | 3.1374665279 | 3.2799204994 | 3.3316621288 | 3.3837907661 | 3.2307372395 | 2.9021385609 | 3.4949593101 | 2.9548078874 | 5.2332263085 | 6.0922944309 | 5.2648364534 | 5.6690537902 | 6.2952664647 | 6.774903881 | 5.1636787147 | 3.9032543179 | 4.5787435 | 5.3135696275 | 3.7859043106 | 6.1663043441 | 6.551798568 | 5.831867802 | ||||||||||||||||||||||
Total reserves minus gold (current US$) | FI.RES.XGLD.CD | 293749999.98625 | 89000000 | 63000000 | 21000000 | 21000000 | 17000000 | 19000000 | 2000000 | 82500000 | 117700000 | 156019999.99998 | 185332571.29997 | 572200989.26417 | 804734954.9567 | 1489500461.41571 | 584333690.99365 | 1496517029.79594 | 2508735192.8 | 2626115962.77349 | 4061820390.29715 | 5391695655.10206 | 5014171978.37647 | 3144463870.29972 | 3718392754.42369 | 4773006319.5 | 4974241601.27633 | 4051267824.3 | 5592324714.8 | 5048320080 | 5453530804 | 7459058061.6 | 9257939337.1 | 10448610000 | 11262657057.6 | 12132679072.7019 | 13708248502.9286 | 18251106181.2003 | 16586889080.4268 | 22713376432.6835 | 26445032103.9957 | 28501860480.3718 | 27246209713.8566 | 30970716990.0475 | 34962311360.1863 | 34952496314.7824 | 33140499704.5211 | 41103144985.2572 | 54976431801.4525 | 49596713291.9553 | 63563291965.731 | 92908046535.5132 | 106538755627.115 | |
Claims on central government (annual growth as % of broad money) | FM.AST.CGOV.ZG.M3 | -5.9035234565 | -4.9154850254 | -2.64626318 | -21.5687466645 | -3.2833930047 | 2.3438913718 | 6.5390949001 | -0.5320804666 | -3.963336157 | -5.6182858072 | -1.7200231976 | 7.2784548287 | -6.5643854795 | -1.2744424314 | -2.3653467462 | -1.2973839487 | -4.0986206086 | 6.754119441 | 74.067937034 | 17.226102581 | 3.0133808355 | -0.3279615234 | -4.2764566287 | -0.5894612603 | 0.5693134451 | 0.7866951437 | 0.4998967762 | -7.0427883432 | 2.5216015271 | -3.7134963593 | 1.1276873098 | ||||||||||||||||||||||
Claims on other sectors of the domestic economy (annual growth as % of broad money) | FM.AST.DOMO.ZG.M3 | 7.2139083785 | 8.4027232819 | 16.1580104444 | 13.2225719097 | 8.2958991978 | 14.8480628969 | 20.1582912257 | 6.8941800146 | 17.0951349401 | 19.1049838341 | |||||||||||||||||||||||||||||||||||||||||||
Net domestic credit (current LCU) | FM.AST.DOMS.CN | 290494599963.455 | 378000000000 | 517000000000 | 641745020863.545 | 1086000000000 | 1388000000000 | 2803000000000 | 3283000000000 | 3299000000000 | 4522000000000 | 4616000000000 | 4008980000000 | 5992790000000 | 8868300000000 | 11138200000000 | 12137100000000 | 15682500000000 | 21550000000000 | 30403500000000 | 42945700000000 | 63246000000000 | 98418000000000 | 115915700000000 | 131528000000000 | 156434000000000 | 192194000000000 | 235508000000000 | 287707000000000 | 373795941000000 | 572763941000000 | 682646940800000 | 843268372600000 | 896705550000000 | 954519013900000 | 990812022800000 | 1.13926318783893E+15 | 1.2818542882479E+15 | 1.39109630416087E+15 | 1.603280815468E+15 | 1.8196422539194E+15 | 1.99815027676732E+15 | 2.2847025147E+15 | 2.78469347184782E+15 | ||||||||||
Net foreign assets (current LCU) | FM.AST.NFRG.CN | -5564219979.14577 | -38854599963.4554 | -43000000000 | -58000000000 | 117000000000 | 296000000000 | 659000000000 | -345000000000 | 525000000000 | 1061000000000 | 1844000000000 | 3483000000000 | 6539622276835.22 | 6811123954074.45 | 5590165730182.56 | 8390725303989.7 | 11918807651854.6 | 14083470885383.1 | 15892398888687.9 | 16205755044880 | 13750925497050 | 12568287633580 | 10659146468282.8 | 17283257781014.4 | 31502399420000 | 30794526391536 | 26351113959944.2 | 33737312744759.2 | 51633372829800.3 | 60331225377584.4 | 111843514289620 | 116141186594363 | 177940847130711 | 226078706129356 | 230831765199332 | 251314781790273 | 241549625822753 | 304043614678228 | 401983135344839 | 510364049655120 | 584319793712596 | 639005815576752 | 813214645443523 | 907389662026769 | |||||||||
Claims on private sector (annual growth as % of broad money) | FM.AST.PRVT.ZG.M3 | 23.5909326615 | 26.9408094739 | 23.2735454034 | 26.9744441967 | 20 | 21.7445858329 | 25.4258841852 | 32.4830906631 | 46.0296437046 | 66.4538900189 | 19.5704921298 | 10.4396760125 | 27.4650821694 | 25.6679369443 | 25.8582755375 | 23.596085659 | 30.8426367721 | 36.095464063 | -49.3529306891 | 7.8206444565 | 7.6603948592 | 6.3815400675 | 8.470958127 | 15.0800718389 | 12.3086641511 | 7.3552263078 | 13.315808921 | 18.6892848446 | 4.9935026363 | 12.865032082 | 17.2858310745 | ||||||||||||||||||||||
Broad money (current LCU) | FM.LBL.BMNY.CN | 230000000000 | 321000000000 | 458000000000 | 661000000000 | 988000000000 | 1455000000000 | 1997000000000 | 2620000000000 | 3131000000000 | 3808000000000 | 5216000000000 | 7771630000000 | 9818970000000 | 11200700000000 | 14802900000000 | 18155000000000 | 23431120000000 | 27994700000000 | 34374500000000 | 42734200000000 | 59044700000000 | 85353500000000 | 100312500000000 | 119996000000000 | 144063000000000 | 173167000000000 | 220829000000000 | 280631000000000 | 351504000000000 | 572118000000000 | 642107000000000 | 748845284800000 | 839586263400000 | 879560434400000 | 953532428000000 | 1.033876781462E+15 | 1.20276224837547E+15 | 1.38249328136562E+15 | 1.649661781092E+15 | 1.89583862005598E+15 | 2.14138377898218E+15 | 2.4712058709E+15 | 2.87721965387607E+15 | ||||||||||
Broad money (% of GDP) | FM.LBL.BMNY.GD.ZS | 8.0182393996 | 9.1071319464 | 11.8198425262 | 13.7247693124 | 13.8646425596 | 12.8766758853 | 14.9684435324 | 16.0525444995 | 15.5892138774 | 15.8650139082 | 15.1872051493 | 15.888517715 | 16.807175185 | 17.8792105494 | 19.070298605 | 20.1980081807 | 24.1565899321 | 27.2633333512 | 27.5399404547 | 28.5524166979 | 32.8790012076 | 40.477544001 | 40.1300392772 | 42.49226805 | 43.6850926552 | 45.3056176275 | 48.5857305038 | 52.6939290486 | 55.9991378985 | 59.8604136524 | 58.3876096488 | 53.8826812122 | 50.9976944607 | 48.2788620738 | 47.3528566602 | 45.0328839412 | 43.3540142161 | 41.4017227443 | 41.754147672 | 38.3099210919 | 38.1966836785 | 38.3949953454 | 38.7395490256 | ||||||||||
Broad money to total reserves ratio | FM.LBL.BMNY.IR.ZS | 5.7966086754 | 5.5197325129 | 6.2226773485 | 2.7459019133 | 2.9350578635 | 2.337145347 | 8.1239594822 | 4.1970897025 | 2.9742739837 | 3.218280286 | 1.9907935184 | 1.8220106016 | 2.4875639027 | 3.711480635 | 3.3207235157 | 3.0883032096 | 3.5226604822 | 4.1460160581 | 2.9472977491 | 4.010124508 | 4.9791450402 | 5.3503593604 | 4.9656292843 | 5.1483662625 | 5.5335070787 | 6.0161487754 | 6.5877299191 | 6.1770095002 | 6.9090684699 | 2.42033154 | 2.9893271595 | 3.0292631879 | 2.9115179399 | 2.9488649072 | 3.0662741291 | 3.1853129028 | 3.5684615826 | 3.5434028783 | 3.1696857074 | 3.7851630273 | 3.1171366562 | 2.8255288156 | 2.9786555119 | ||||||||||
Broad money growth (annual %) | FM.LBL.BMNY.ZG | 39.5652173913 | 42.6791277259 | 44.3231441048 | 49.4704992436 | 47.2672064777 | 37.2508591065 | 31.1967951928 | 19.5038167939 | 21.6224848291 | 36.974789916 | 48.9959739264 | 26.3437657222 | 14.0720462533 | 32.1604899694 | 22.6448871505 | 29.0615257505 | 19.4765764505 | 22.7893136915 | 24.3194810106 | 38.1673226596 | 44.5574285245 | 17.5259362533 | 19.6221806854 | 20.0565018834 | 20.2022726168 | 27.5237198773 | 27.0806823379 | 25.2548720562 | 62.7628704083 | 12.2333155048 | 16.6231305374 | 12.1174534235 | 4.7611749671 | 8.4101092667 | 8.4259696999 | 16.3351639133 | 14.9431887501 | 19.3251210207 | 14.9228673287 | 12.9517964414 | 15.4022877709 | 16.4297838459 | |||||||||||
Money (current LCU) | FM.LBL.MONY.CN | 180020000000 | 241000000000 | 313000000000 | 471000000000 | 669000000000 | 940000000000 | 1250000000000 | 1601000000000 | 2006000000000 | 2488000000000 | 3379000000000 | 5040220000000 | 6542750000000 | 7192700000000 | 7634800000000 | 8701200000000 | 10243900000000 | 11790600000000 | 12826800000000 | 14560900000000 | 20788400000000 | 23803400000000 | 26676300000000 | 28426000000000 | 34661000000000 | 42887000000000 | 49572000000000 | 54534000000000 | 72431000000000 | 90768000000000 | 116880000000000 | 160923094500000 | 230852614200000 | 242431459900000 | 275759448500000 | 313457390904062 | 351628488058726 | 426882099475723 | 538521889437000 | 569637477312675 | 640216745717828 | 744539007200000 | 876258371127317 | ||||||||||
Money and quasi money (M2) (current LCU) | FM.LBL.MQMY.CN | 230000000000 | 321000000000 | 458000000000 | 661000000000 | 988000000000 | 1455000000000 | 1997000000000 | 2620000000000 | 3131000000000 | 3808000000000 | 5216000000000 | 7771630000000 | 9818970000000 | 11200700000000 | 14802900000000 | 18155000000000 | 23431120000000 | 27994700000000 | 34374500000000 | 42734200000000 | 59044700000000 | 85353500000000 | 100312500000000 | 119996000000000 | 144063000000000 | 173167000000000 | 220829000000000 | 280631000000000 | 351504000000000 | 572118000000000 | 642107000000000 | 748845284800000 | 839586263400000 | 879560434400000 | 953532428000000 | 1.033876781462E+15 | 1.20276224837547E+15 | 1.38249328136562E+15 | 1.649661781092E+15 | 1.89583862005598E+15 | 2.14138377898218E+15 | 2.4712058709E+15 | 2.87721965387607E+15 | ||||||||||
Money and quasi money (M2) as % of GDP | FM.LBL.MQMY.GD.ZS | 8.0182393996 | 9.1071319464 | 11.8198425262 | 13.7247693124 | 13.8646425596 | 12.8766758853 | 14.9684435324 | 16.0525444995 | 15.5892138774 | 15.8650139082 | 15.1872051493 | 15.888517715 | 16.807175185 | 17.8792105494 | 19.070298605 | 20.1980081807 | 24.1565899321 | 27.2633333512 | 27.5399404547 | 28.5524166979 | 32.8790012076 | 40.477544001 | 40.1300392772 | 42.49226805 | 43.6850926552 | 45.3056176275 | 48.5857305038 | 52.6939290486 | 55.9991378985 | 59.8604136524 | 58.3876096488 | 53.8826812122 | 50.9976944607 | 48.2788620738 | 47.3528566602 | 45.0328839412 | 43.3540142161 | 41.4017227443 | 41.754147672 | 38.3099210919 | 38.1966836785 | 38.3949953454 | 38.7395490256 | ||||||||||
Money and quasi money (M2) to total reserves ratio | FM.LBL.MQMY.IR.ZS | 5.7966086754 | 5.5197325129 | 6.2226773485 | 2.7459019133 | 2.9350578635 | 2.337145347 | 8.1239594822 | 4.1970897025 | 2.9742739837 | 3.218280286 | 1.9907935184 | 1.8220106016 | 2.4875639027 | 3.711480635 | 3.3207235157 | 3.0883032096 | 3.5226604822 | 4.1460160581 | 2.9472977491 | 4.010124508 | 4.9791450402 | 5.3503593604 | 4.9656292843 | 5.1483662625 | 5.5335070787 | 6.0161487754 | 6.5877299191 | 6.1770095002 | 6.9090684699 | 2.42033154 | 2.9893271595 | 3.0292631879 | 2.9115179399 | 2.9488649072 | 3.0662741291 | 3.1853129028 | 3.5684615826 | 3.5434028783 | 3.1696857074 | 3.7851630273 | 3.1171366562 | 2.8255288156 | 2.9786555119 | ||||||||||
Money and quasi money growth (annual %) | FM.LBL.MQMY.ZG | 39.5652173913 | 42.6791277259 | 44.3231441048 | 49.4704992436 | 47.2672064777 | 37.2508591065 | 31.1967951928 | 19.5038167939 | 21.6224848291 | 36.974789916 | 48.9959739264 | 26.3437657222 | 14.0720462533 | 32.1604899694 | 22.6448871505 | 29.0615257505 | 19.4765764505 | 22.7893136915 | 24.3194810106 | 38.1673226596 | 44.5574285245 | 17.5259362533 | 19.6221806854 | 20.0565018834 | 20.2022726168 | 27.5237198773 | 27.0806823379 | 25.2548720562 | 62.7628704083 | 12.2333155048 | 16.6231305374 | 12.1174534235 | 4.7611749671 | 8.4101092667 | 8.4259696999 | 16.3351639133 | 14.9431887501 | 19.3251210207 | 14.9228673287 | 12.9517964414 | 15.4022877709 | 16.4297838459 | |||||||||||
Quasi money (current LCU) | FM.LBL.QMNY.CN | 50000000000 | 80000000000 | 145000000000 | 190000000000 | 319000000000 | 515000000000 | 747000000000 | 1019000000000 | 1125000000000 | 1320000000000 | 1837000000000 | 2731410000000 | 3276220000000 | 4008000000000 | 7168100000000 | 9453800000000 | 13187220000000 | 16204100000000 | 21547700000000 | 28173300000000 | 38256300000000 | 61550100000000 | 73636200000000 | 91570000000000 | 109402000000000 | 130280000000000 | 171257000000000 | 226097000000000 | 279073000000000 | 481350000000000 | 525227000000000 | 587922190300000 | 608733649200000 | 637128974500000 | 677772979500000 | 720419390557941 | 851133760316747 | 955611181889900 | 1.111139891655E+15 | 1.3262011427433E+15 | 1.50116703326435E+15 | 1.7266668637E+15 | 2.00096128274875E+15 | ||||||||||
Consumer price index (2005 = 100) | FP.CPI.TOTL | 0.0004038693 | 0.0004591668 | 0.0010625021 | 0.0026128072 | 0.0054606287 | 0.0222118232 | 0.2745945777 | 0.5656648301 | 1.294484605 | 1.4953963044 | 1.6800611579 | 1.7532863786 | 1.8674719572 | 2.4470953449 | 3.4406700586 | 4.0962646129 | 4.9097510493 | 5.4516176826 | 5.8937149527 | 6.8520500289 | 8.0865942157 | 9.0767471955 | 9.9373542982 | 11.1086990654 | 12.2701716177 | 12.8504767927 | 13.5992993833 | 14.8607011678 | 16.0559720455 | 17.0863898669 | 18.421294387 | 20.1558676819 | 21.6727450158 | 23.7723540679 | 25.7974013937 | 28.2306263752 | 30.4801782396 | 32.3790616959 | 51.2842526775 | 61.7919434824 | 64.0906186134 | 71.4623808595 | 79.95122302 | 85.2165860548 | 90.5371014377 | 100 | 113.1094152836 | 120.3568427705 | 132.1236320422 | 138.4834352105 | 145.5914505164 | 153.3915119011 | |
Inflation, consumer prices (annual %) | FP.CPI.TOTL.ZG | 13.6919315403 | 131.3978494624 | 145.9107806691 | 108.9947089947 | 306.7631103074 | 1136.2541122077 | 106 | 128.8430420712 | 15.5205939544 | 12.3488905891 | 4.3584854263 | 6.5126598799 | 31.037863007 | 40.602206845 | 19.0542697526 | 19.8592257416 | 11.0365398956 | 8.1094694426 | 16.2602888647 | 18.0171508023 | 12.2443757332 | 9.4814484107 | 11.7872899776 | 10.4555226983 | 4.7293973805 | 5.8271969407 | 9.2754909576 | 8.0431660937 | 6.4176607839 | 7.8126774032 | 9.4161314533 | 7.5257357201 | 9.687785514 | 8.5184972426 | 9.4320545871 | 7.9684801695 | 6.2298961684 | 58.3870871837 | 20.4891175289 | 3.7200240055 | 11.5020925145 | 11.8787564288 | 6.5857191872 | 6.2435209261 | 10.4519566145 | 13.1094152836 | 6.4074484593 | 9.7765851951 | 4.8135243257 | 5.1327548995 | 5.3574996039 | ||
Wholesale price index (2005 = 100) | FP.WPI.TOTL | 0.9910779025 | 1.1253465802 | 1.5554852899 | 2.3024683515 | 2.4473893413 | 2.8068429415 | 3.2009784879 | 3.5070053757 | 5.3442401909 | 6.6515939654 | 7.3877940468 | 7.9349166132 | 9.3579161766 | 10.5358800241 | 10.9019723457 | 11.1437185136 | 13.194661809 | 14.1460499536 | 15.1364294156 | 16.6570907943 | 17.5148997772 | 18.4194983409 | 19.1681316351 | 20.1351163066 | 22.4278057699 | 24.1902133165 | 26.3581305641 | 53.2798340052 | 58.7527415929 | 66.0909793151 | 75.443329093 | 77.5729793596 | 79.1756817047 | 85.9404439556 | 100 | 113.4589349485 | 130.16607482 | 165.2926285997 | 162.2911618297 | 170.1967144326 | 182.8450998766 | ||||||||||||
Deposit interest rate (%) | FR.INR.DPST | 21 | 21 | 15 | 12 | 12 | 12 | 12 | 9 | 6 | 6 | 6 | 6 | 6 | 6 | 16 | 18 | 15.39 | 16.7841666667 | 17.7175 | 18.6275 | 17.5308333333 | 23.3166666667 | 19.6025 | 14.5475 | 12.5333333333 | 16.7175 | 17.2558333333 | 20.0141666667 | 39.0666666667 | 25.7375 | 12.5033333333 | 15.4816666667 | 15.5025 | 10.59 | 6.4433333333 | 8.0791666667 | 11.4108333333 | 7.9758333333 | 8.4925 | 9.2783333333 | 7.0166666667 | ||||||||||||
Lending interest rate (%) | FR.INR.LEND | 21.4916666667 | 21.6666666667 | 22.0975 | 21.6991666667 | 20.825 | 25.5333333333 | 24.0333333333 | 20.5866666667 | 17.76 | 18.8516666667 | 19.2175 | 21.8175 | 32.1541666667 | 27.6625 | 18.455 | 18.5475 | 18.945 | 16.935 | 14.1241666667 | 14.0508333333 | 15.9791666667 | 13.8616666667 | 13.5983333333 | 14.4983333333 | 13.2516666667 | 12.4033333333 | |||||||||||||||||||||||||||
Interest rate spread (lending rate minus deposit rate, %) | FR.INR.LNDP | 6.1016666667 | 4.8825 | 4.38 | 3.0716666667 | 3.2941666667 | 2.2166666666 | 4.4308333333 | 6.0391666667 | 5.2266666667 | 2.1341666667 | 1.9616666667 | 1.8033333333 | -6.9125 | 1.925 | 5.9516666667 | 3.0658333333 | 3.4425 | 6.345 | 7.6808333334 | 5.9716666666 | 4.5683333334 | 5.8858333334 | 5.1058333333 | 5.22 | 6.235 | ||||||||||||||||||||||||||||
Real interest rate (%) | FR.INR.RINR | 21.6095012677 | 5.3958389243 | 8.2949345114 | 10.642480571 | 12.1617284393 | 15.3505021759 | 17.7185386956 | 10.7517908192 | 9.2632750146 | 8.3392128912 | 9.520961675 | 8.2136302403 | -24.6002176663 | 11.826529786 | -1.6542144724 | 3.719985957 | 12.3224124962 | 10.8520733498 | 5.1344047541 | -0.2457343987 | 1.6581536096 | 2.3396741081 | -3.8522460217 | 5.7479543809 | 4.7573925615 | 3.6977117719 | |||||||||||||||||||||||||||
Risk premium on lending (lending rate minus treasury bill rate, %) | FR.INR.RISK | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Claims on central government, etc. (% GDP) | FS.AST.CGOV.GD.ZS | -8.5502980988 | -7.9441061936 | -8.1787487471 | -6.9826132358 | -9.5821219862 | -9.4941273266 | -8.4335611439 | -5.4713744594 | -4.6850625758 | -4.8478188341 | -5.7017645355 | -5.397157741 | -2.1919658924 | -4.2656212794 | -4.160695959 | -4.4000834326 | -4.2931607476 | -5.4749487147 | -1.1116883144 | 37.5665295065 | 37.6854478213 | 33.1834580841 | 29.8354970822 | 25.1251637405 | 21.7925167857 | 18.2463238768 | 15.4427348908 | 13.2268176016 | 8.2121810257 | 8.1017528759 | 5.8213917441 | 5.4199992711 | |||||||||||||||||||||
Claims on other sectors of the domestic economy (% of GDP) | FS.AST.DOMO.GD.ZS | 21.2837451726 | 22.557823509 | 24.0790146547 | 27.8307147602 | 27.9585924404 | 26.2166237996 | 27.3533938673 | 28.5580115559 | 28.8646336887 | 30.633383888 | 33.1214529976 | ||||||||||||||||||||||||||||||||||||||||||
Domestic credit provided by banking sector (% of GDP) | FS.AST.DOMS.GD.ZS | 10.1271967251 | 10.7242862173 | 13.3424859957 | 13.3249657621 | 15.2398803844 | 12.2837292981 | 21.0097882931 | 20.1146960275 | 16.4256839928 | 18.839704016 | 13.440210692 | 8.196060511 | 10.2578856414 | 14.156097647 | 14.349134286 | 13.5029052652 | 16.1680586165 | 20.9870023154 | 24.3584802576 | 28.6937282501 | 35.2184922673 | 46.6731759739 | 46.3721031163 | 46.5759111311 | 47.4364256223 | 50.2836445413 | 51.8153332194 | 54.0225856901 | 59.5505326993 | 59.9279981288 | 62.0739582458 | 60.6768338126 | 54.4672032567 | 52.3933205912 | 49.2041783951 | 49.6232315459 | 46.2049163172 | 41.6593586904 | 40.5802114688 | 36.7701925816 | 36.9663865646 | 36.4547756321 | 38.5414522687 | ||||||||||
Domestic credit to private sector (% of GDP) | FS.AST.PRVT.GD.ZS | 8.9942246286 | 10.6686947227 | 14.1717409785 | 14.7957813975 | 17.2196502793 | 19.7005461691 | 23.5715686933 | 25.0941979356 | 28.3877202554 | 34.6126958891 | 48.0852555608 | 47.2458128312 | 45.5291500361 | 48.9814132116 | 51.9353123769 | 53.526391215 | 55.4655939277 | 60.8489426117 | 53.2378901832 | 20.5928426364 | 19.9085406512 | 20.2905270779 | 21.2766954981 | 22.9497432346 | 26.3925246919 | 26.4278526511 | 24.6060340356 | 25.4559902055 | 26.5534798271 | 27.6587103201 | 29.0647344997 | 31.7211272697 | |||||||||||||||||||||
Liquid liabilities (M3) as % of GDP | FS.LBL.LIQU.GD.ZS | 10.6714627205 | 6.7556619964 | 6.0337658286 | 5.6989315311 | 8.0234686861 | 9.0952160729 | 11.8123583464 | 32.6584227024 | 33.6642258897 | 34.4275329333 | |||||||||||||||||||||||||||||||||||||||||||
Quasi-liquid liabilities (% of GDP) | FS.LBL.QLIQ.GD.ZS | 1.74762757 | 2.2577743311 | 3.734605703 | 21.2386310883 | 22.0963625836 | 22.629388123 | |||||||||||||||||||||||||||||||||||||||||||||||
Research and development expenditure (% of GDP) | GB.XPD.RSDV.GD.ZS | 0.0676929179 | 0.0475632956 | 0.0833594214 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Cash surplus/deficit (current LCU) | GC.BAL.CASH.CN | 1690000000000 | -2740000000000 | 1779000000000 | 10799000000000 | 7805000000000 | 10557000000000 | 8260600000000 | -17610200000000 | -40415500000000 | -17106691000000 | -35109147130883 | -23364838000000 | -3493720641532 | -20861666575215 | -40346615279566 | -16586753932355 | -93719310377562 | -36389123210813.3 | |||||||||||||||||||||||||||||||||||
Cash surplus/deficit (% of GDP) | GC.BAL.CASH.GD.ZS | 0.6760848985 | -0.9702724629 | 0.5394569031 | 2.8253383425 | 1.7172184205 | 1.9822821034 | 1.3160205247 | -1.8425462169 | -3.6750330362 | -0.9389821814 | -1.7435363106 | -1.0177093217 | -0.1259324647 | -0.6247472933 | -1.0212023772 | -0.3351747494 | -1.6717072802 | -0.5653758891 | |||||||||||||||||||||||||||||||||||
Central government debt, total (current LCU) | GC.DOD.TOTL.CN | 87435000000000 | 105546000000000 | 118797000000000 | 138841000000000 | 136781000000000 | 127324000000000 | 450890300000000 | 514134000000000 | 490685300000000 | 587069900000000 | 598411660000000 | 1.2995E+15 | 1.31329E+15 | 1.30216E+15 | 1.38941E+15 | 1.63674E+15 | 1.59066E+15 | 1.676681E+15 | |||||||||||||||||||||||||||||||||||
Central government debt, total (% of GDP) | GC.DOD.TOTL.GD.ZS | 34.9783923659 | 37.3753202074 | 36.0235310396 | 36.3249190493 | 30.0938952948 | 23.9075576903 | 71.8326621796 | 53.7935773962 | 44.6186410626 | 32.224126531 | 29.717396837 | 56.6027148795 | 47.3380282818 | 38.9959705521 | 35.1669845188 | 33.0742182296 | 28.3732124323 | 26.05050431 | |||||||||||||||||||||||||||||||||||
Net incurrence of liabilities, domestic (current LCU) | GC.FIN.DOMS.CN | -15616176304168 | 18165063411055 | 45116325713305 | 46883994685900 | 52613982572348 | 64200091750248 | |||||||||||||||||||||||||||||||||||||||||||||||
Net incurrence of liabilities, domestic (% of GDP) | GC.FIN.DOMS.GD.ZS | -0.5628909042 | 0.5439917352 | 1.141927241 | 0.9474024413 | 0.9384957844 | 0.9974734412 | |||||||||||||||||||||||||||||||||||||||||||||||
Net incurrence of liabilities, foreign (current LCU) | GC.FIN.FRGN.CN | 1798000000000 | 1159000000000 | -451000000000 | -303000000000 | -1677000000000 | -2658000000000 | 3432400000000 | 49705300000000 | 15942000000000 | -2462336000000 | -6709689000000 | -9733281971413.7 | 13694886519712 | -4535047630188 | -1015385134844 | 41963500755756 | 25056174280013 | 4162258618370.83 | |||||||||||||||||||||||||||||||||||
Net incurrence of liabilities, foreign (% of GDP) | GC.FIN.FRGN.GD.ZS | 0.7192903239 | 0.4104181695 | -0.136759451 | -0.079273777 | -0.3689654441 | -0.4990912031 | 0.5468257571 | 5.2006401105 | 1.4496264221 | -0.1351570347 | -0.3332062257 | -0.4239555092 | 0.4936372967 | -0.1358117158 | -0.0257001413 | 0.8479721774 | 0.4469365896 | 0.0646687927 | |||||||||||||||||||||||||||||||||||
Grants and other revenue (current LCU) | GC.REV.GOTR.CN | 2487000000000 | 2992100000000 | 4936000000000 | 5549000000000 | 7272000000000 | 7667000000000 | 9464600000000 | 9774000000000 | 13579700000000 | 110001860000000 | 83050609000000 | 91972681981988 | 117496562000000 | 138749511288289 | 217002550931048 | 206948030263888 | 320995740248341 | 222275045725775 | 271057367752471 | ||||||||||||||||||||||||||||||||||
Grants and other revenue (% of revenue) | GC.REV.GOTR.ZS | 5.9805218228 | 6.3002189842 | 9.441469013 | 8.5329847763 | 10.2434077079 | 9.2958122166 | 8.6140723394 | 6.3960233932 | 7.3897096836 | 36.5921434803 | 27.8209617762 | 26.9416754486 | 29.3309095258 | 28.5727618053 | 34.6535644579 | 29.6514054322 | 33.2253432351 | 25.7529618245 | 27.9253099973 | ||||||||||||||||||||||||||||||||||
Social contributions (current LCU) | GC.REV.SOCL.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Social contributions (% of revenue) | GC.REV.SOCL.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Revenue, excluding grants (current LCU) | GC.REV.XGRT.CN | 41585000000000 | 47492000000000 | 52280000000000 | 65030000000000 | 70992000000000 | 82478000000000 | 109873700000000 | 152813700000000 | 183765000000000 | 300564460000000 | 298518009000000 | 340909246754391 | 400311600000000 | 484299230634175 | 624432241688424 | 696240001001741 | 963844553465851 | 861955120629062 | 968560595362816 | ||||||||||||||||||||||||||||||||||
Revenue, excluding grants (% of GDP) | GC.REV.XGRT.GD.ZS | 16.6360890551 | 16.8175838714 | 15.8531798173 | 17.0137746471 | 15.6193171184 | 15.4868488516 | 17.5043028748 | 15.9888192536 | 16.709986166 | 18.2567237758 | 16.3855821833 | 16.9297091758 | 17.4364935419 | 17.45674655 | 18.6999610714 | 17.6223442588 | 19.476767905 | 15.3750240433 | 15.048474912 | ||||||||||||||||||||||||||||||||||
Taxes on exports (current LCU) | GC.TAX.EXPT.CN | 19000000000 | 8400000000 | 14000000000 | 131000000000 | 186000000000 | 70000000000 | 128500000000 | 4630000000000 | 858000000000 | 542300000000 | 231000000000 | 229673438570 | 297800000000 | 60024305054 | 940130578973 | 3960947771927 | 22764177601365 | 18105495831908 | 19759183417044 | ||||||||||||||||||||||||||||||||||
Taxes on exports (% of tax revenue) | GC.TAX.EXPT.ZS | 0.0485958361 | 0.0188764469 | 0.0295708009 | 0.2202383955 | 0.2919020716 | 0.0935691275 | 0.1279764483 | 3.236863612 | 0.5041563519 | 0.2845013645 | 0.1072087438 | 0.0920887997 | 0.1051951126 | 0.0173054956 | 0.2297467356 | 0.8067290137 | 3.528665634 | 2.8253207879 | 2.8243791437 | ||||||||||||||||||||||||||||||||||
Taxes on goods and services (current LCU) | GC.TAX.GSRV.CN | 11149000000000 | 13095000000000 | 14842000000000 | 21905000000000 | 22465000000000 | 25702000000000 | 31720100000000 | 38163000000000 | 46207400000000 | 78254100000000 | 93704500000000 | 110687802615406 | 135167200000000 | 72805005957168 | 174356618319419 | 199239297664308 | 260959523024201 | 271299619596367 | 285751748455170 | ||||||||||||||||||||||||||||||||||
Taxes on goods and services (% of revenue) | GC.TAX.GSRV.RV.ZS | 26.8101478899 | 27.5730649373 | 28.389441469 | 33.6844533292 | 31.6444106378 | 31.1622493271 | 28.8696020977 | 24.97354622 | 25.1448317144 | 26.0312439728 | 31.3898879749 | 32.4239196892 | 33.7420673982 | 14.9927742025 | 27.8433515443 | 28.5469022611 | 27.0111675508 | 31.4329875567 | 29.4391782228 | ||||||||||||||||||||||||||||||||||
Taxes on goods and services (% value added of industry and services) | GC.TAX.GSRV.VA.ZS | 5.4562999629 | 5.7021826033 | 5.4805403668 | 6.9287123289 | 5.9649320032 | 5.7916581046 | 6.0225841423 | 4.874407462 | 5.2268160903 | 5.6112419735 | 6.0837494042 | 6.4809638746 | 6.8727861367 | 3.0208143935 | 5.9998972578 | 5.8445742486 | 6.1662934227 | 5.7127656889 | 5.2423606731 | ||||||||||||||||||||||||||||||||||
Customs and other import duties (current LCU) | GC.TAX.IMPT.CN | 2133000000000 | 2652200000000 | 2888000000000 | 4093000000000 | 3029000000000 | 2807000000000 | 2998700000000 | 2306000000000 | 4177000000000 | 9025600000000 | 10344400000000 | 10884595527471 | 12444000000000 | 15179142354783 | 344711690871 | 16975871449123 | |||||||||||||||||||||||||||||||||||||
Customs and other import duties (% of tax revenue) | GC.TAX.IMPT.ZS | 5.4555220216 | 5.9600133933 | 6.1000337952 | 6.8811889511 | 4.7536095417 | 3.7521220141 | 2.9864823009 | 1.6121398465 | 2.4543835455 | 4.735009249 | 4.8009096499 | 4.3642370837 | 4.3957286122 | 4.3762702621 | 0.0842397721 | 3.4574876567 | |||||||||||||||||||||||||||||||||||||
Taxes on international trade (current LCU) | GC.TAX.INTT.CN | 2152000000000 | 2660600000000 | 2902000000000 | 4224000000000 | 3215000000000 | 2877000000000 | 3127200000000 | 6936000000000 | 5035000000000 | 9567900000000 | 10575400000000 | 11114268966041 | 12741800000000 | 15239166659837 | 1284842269844 | 20936819221050 | 22764177601365 | 18105495831908 | 19759183417044 | ||||||||||||||||||||||||||||||||||
Taxes on international trade (% of revenue) | GC.TAX.INTT.RV.ZS | 5.1749428881 | 5.6022066874 | 5.5508798776 | 6.4954636322 | 4.5286792878 | 3.4882029147 | 2.8461770196 | 4.5388600629 | 2.7399123881 | 3.1827640879 | 3.5426326515 | 3.2557170334 | 3.1807618592 | 3.1382098217 | 0.2051789909 | 2.9998164969 | 2.3562543655 | 2.0977170039 | 2.0356625123 | ||||||||||||||||||||||||||||||||||
Other taxes (current LCU) | GC.TAX.OTHR.CN | 1178000000000 | 1461200000000 | 1819000000000 | 457000000000 | 964000000000 | 864000000000 | 614500000000 | 627700000000 | 778600000000 | 8330600000000 | 9314100000000 | 12586654890864 | 16260900000000 | 21664405841240 | 38213414724199 | 32297223248894 | 33756176221568 | 33772269025792 | 39948710599666 | ||||||||||||||||||||||||||||||||||
Other taxes (% of revenue) | GC.TAX.OTHR.RV.ZS | 2.8327521943 | 3.0767287122 | 3.4793420046 | 0.7027525757 | 1.3578994816 | 1.0475520745 | 0.5592785171 | 0.4107616006 | 0.4236933039 | 2.7711759645 | 3.1201122207 | 3.6870249268 | 4.0592420628 | 4.4613627969 | 6.1023754081 | 4.6275292385 | 3.4940044388 | 3.9128816827 | 4.1156605952 | ||||||||||||||||||||||||||||||||||
Tax revenue (current LCU) | GC.TAX.TOTL.CN | 39098000000000 | 44499900000000 | 47344000000000 | 59481000000000 | 63720000000000 | 74811000000000 | 100409100000000 | 143039700000000 | 170185300000000 | 190614200000000 | 215467500000000 | 249404313253852 | 283093000000000 | 346851118548758 | 409203019335450 | 490988634954090 | 645121413086003 | 640829739039310 | 699593872211384 | ||||||||||||||||||||||||||||||||||
Tax revenue (% of GDP) | GC.TAX.TOTL.GD.ZS | 15.6411641187 | 15.7580392596 | 14.3564067572 | 15.5619918466 | 14.0193667847 | 14.0472204641 | 15.9964695627 | 14.9661706339 | 15.4751667002 | 11.5781845836 | 11.8269595892 | 12.3855323103 | 12.3307674978 | 12.5023780425 | 12.2544609663 | 12.4272818854 | 13.0362100279 | 11.4307258111 | 10.8695531131 | ||||||||||||||||||||||||||||||||||
Taxes on income, profits and capital gains (current LCU) | GC.TAX.YPKG.CN | 24619000000000 | 27283100000000 | 27781000000000 | 32895000000000 | 37076000000000 | 45368000000000 | 64947300000000 | 97313000000000 | 118164300000000 | 94461600000000 | 101873500000000 | 115015586781541 | 118923100000000 | 237142540090513 | 195348144021988 | 238515294819838 | 327641536238869 | 317652354585243 | 354134229739504 | ||||||||||||||||||||||||||||||||||
Taxes on income, profits and capital gains (% of revenue) | GC.TAX.YPKG.RV.ZS | 59.201635205 | 57.4477806789 | 53.1388676358 | 50.5843456866 | 52.2256028848 | 55.0061834671 | 59.1108700262 | 63.6808087233 | 64.30185291 | 31.4226724946 | 34.1264053766 | 33.6916630441 | 29.687019154 | 48.8348913736 | 31.1955295988 | 34.1743465713 | 33.9132304098 | 36.8034519322 | 36.4841886724 | ||||||||||||||||||||||||||||||||||
Taxes on income, profits and capital gains (% of total taxes) | GC.TAX.YPKG.ZS | 62.9674152131 | 61.310474855 | 58.6790300777 | 55.3033741867 | 58.1858129316 | 60.6434882571 | 64.6826831433 | 68.0321617006 | 69.4327300889 | 49.5564338858 | 47.2802162739 | 46.1161177531 | 42.008491909 | 68.3701240702 | 47.7386858824 | 48.5785775555 | 50.7875772828 | 49.5689159279 | 50.6199730738 | ||||||||||||||||||||||||||||||||||
Compensation of employees (current LCU) | GC.XPN.COMP.CN | 6787000000000 | 8104400000000 | 9810700000000 | 8748000000000 | 8851000000000 | 12731000000000 | 11085500000000 | 15115000000000 | 19124100000000 | 21259200000000 | 47661500000000 | 49270000000000 | 48350919716048 | 72836320300832 | 90305220159712 | 112576006722383 | 127379914875958 | 147205588898702 | |||||||||||||||||||||||||||||||||||
Compensation of employees (% of expense) | GC.XPN.COMP.ZS | 26.5532081377 | 26.630302632 | 27.7783440645 | 23.3211591267 | 20.4960170433 | 24.0889309366 | 14.0868964098 | 11.9993744289 | 10.7471669697 | 7.5809698372 | 15.4778060951 | 13.550304688 | 10.5398678091 | 12.2518637072 | 13.3229169126 | 12.3331728801 | 14.4269399873 | 15.8611802833 | |||||||||||||||||||||||||||||||||||
Goods and services expense (current LCU) | GC.XPN.GSRV.CN | 3688000000000 | 4231400000000 | 4445400000000 | 7741000000000 | 9401000000000 | 10709000000000 | 15357400000000 | 18675000000000 | 20452500000000 | 26129200000000 | 30033200000000 | 29579600000000 | 31867837193366 | 47065451829540 | 55867894894147 | 55880289862775 | 80567042949902 | 97579188176128 | |||||||||||||||||||||||||||||||||||
Goods and services expense (% of expense) | GC.XPN.GSRV.ZS | 14.4287949922 | 13.9039858049 | 12.5868542208 | 20.6366132601 | 21.7696369026 | 20.2630085147 | 19.5154122884 | 14.8255585485 | 11.493687674 | 9.3175978904 | 9.7531140651 | 8.1350231895 | 6.9467715062 | 7.9169224743 | 8.2423067065 | 6.1219197192 | 9.1249542341 | 10.51401042 | |||||||||||||||||||||||||||||||||||
Interest payments (current LCU) | GC.XPN.INTP.CN | 4562000000000 | 5385700000000 | 6344000000000 | 7565000000000 | 7130000000000 | 6426000000000 | 10817600000000 | 31264000000000 | 42910000000000 | 81121600000000 | 65350600000000 | 62485700000000 | 57632203689928 | 76685096954315 | 77724554787341 | 88361461834121 | 94038815561174 | 90973383685663 | |||||||||||||||||||||||||||||||||||
Interest payments (% of revenue) | GC.XPN.INTP.RV.ZS | 10.9703017915 | 11.3402257222 | 12.1346595256 | 11.6330924189 | 10.0433851702 | 7.791168554 | 9.8454862265 | 20.4588986459 | 23.3504747912 | 27.1747668079 | 19.1432349001 | 15.5984343896 | 11.868230836 | 12.2459940626 | 11.1363335186 | 9.1460400562 | 10.8954112202 | 9.3724068893 | |||||||||||||||||||||||||||||||||||
Interest payments (% of expense) | GC.XPN.INTP.ZS | 17.848200313 | 17.6969079618 | 17.9626137528 | 20.1674175575 | 16.5107447203 | 12.1589403974 | 13.7464625504 | 24.8196124476 | 24.1141248304 | 28.9277302414 | 21.2222425857 | 17.1849050871 | 12.5630662665 | 12.8992699298 | 11.4668651897 | 9.6803681039 | 10.6507556541 | 9.8022449448 | |||||||||||||||||||||||||||||||||||
Other expense (current LCU) | GC.XPN.OTHR.CN | 792000000000 | 731000000000 | 550000000000 | 787400000000 | 368000000000 | 434600000000 | 200600000000 | 676268923852 | 610960000000 | 44081842030405 | 63875898035230 | 50389964951002 | 84067540963248 | 108260191920781 | 84386880701201 | ||||||||||||||||||||||||||||||||||||||
Other expense (% of expense) | GC.XPN.OTHR.ZS | 2.1113806617 | 1.6927565765 | 1.0406811731 | 1.0005883571 | 0.2921448753 | 0.2442320823 | 0.0715333855 | 0.2196145583 | 0.1680270784 | 9.6092647361 | 10.7446229253 | 7.4341363111 | 9.2099510943 | 12.261456552 | 9.0925591777 | ||||||||||||||||||||||||||||||||||||||
Expense (current LCU) | GC.XPN.TOTL.CN | 25560000000000 | 30433000000000 | 35317800000000 | 37511000000000 | 43184000000000 | 52850000000000 | 78693700000000 | 125964900000000 | 177945500000000 | 280428500000000 | 307934468923852 | 363608060000000 | 458743132187494 | 594491760940372 | 677818684543512 | 912790308032852 | 882930926364830 | 928087231020758 | |||||||||||||||||||||||||||||||||||
Expense (% of GDP) | GC.XPN.TOTL.GD.ZS | 10.2252840267 | 10.7767525048 | 10.7096295744 | 9.8139889403 | 9.5011352045 | 9.9236155315 | 12.5369252072 | 13.1796430451 | 16.180811598 | 15.3926533568 | 15.2921666212 | 15.8377863394 | 16.5355674417 | 17.80332924 | 17.1560872499 | 18.4450956449 | 15.7491775343 | 14.4196423838 | |||||||||||||||||||||||||||||||||||
Subsidies and other transfers (current LCU) | GC.XPN.TRFT.CN | 10523000000000 | 11793200000000 | 13351700000000 | 13699000000000 | 17071000000000 | 22434000000000 | 60542900000000 | 95024300000000 | 151717900000000 | 164212900000000 | 221661800000000 | 276810329557747 | 334028993820455 | 403531049751310 | 571905008650325 | 472684961057015 | 507942189559064 | ||||||||||||||||||||||||||||||||||||
Subsidies and other transfers (% of expense) | GC.XPN.TRFT.ZS | 41.1697965571 | 38.7513554365 | 37.8044498808 | 36.5199541468 | 39.5308447573 | 42.4484389782 | 48.0633096998 | 53.4007884437 | 54.1021686455 | 53.3272226958 | 60.961739957 | 60.3410296821 | 56.1873209634 | 59.5337748801 | 62.6545882025 | 53.5358935725 | 54.7300051742 | ||||||||||||||||||||||||||||||||||||
Business extent of disclosure index (0=less disclosure to 10=more disclosure) | IC.BUS.DISC.XQ | 9 | 9 | 9 | 9 | 10 | 10 | 10 | 10 | |||||||||||||||||||||||||||||||||||||||||||||
Ease of doing business index (1=most business-friendly regulations) | IC.BUS.EASE.XQ | 130 | 128 | |||||||||||||||||||||||||||||||||||||||||||||||||||
New business density (new registrations per 1,000 people ages 15-64) | IC.BUS.NDNS.ZS | 0.1400674 | 0.1563796 | 0.1556818 | 0.162078 | 0.2376409 | 0.1829897 | |||||||||||||||||||||||||||||||||||||||||||||||
New businesses registered (number) | IC.BUS.NREG | 20598 | 23348 | 23599 | 24938 | 37106 | 28998 | |||||||||||||||||||||||||||||||||||||||||||||||
Credit depth of information index (0=low to 6=high) | IC.CRD.INFO.XQ | 2 | 2 | 2 | 3 | 4 | 4 | 4 | 4 | 4 | ||||||||||||||||||||||||||||||||||||||||||||
Private credit bureau coverage (% of adults) | IC.CRD.PRVT.ZS | 0 | 0.1 | 0.2 | 0.2 | 0 | 0 | 0 | 0 | 0 | ||||||||||||||||||||||||||||||||||||||||||||
Public credit registry coverage (% of adults) | IC.CRD.PUBL.ZS | 0.4 | 0 | 8.4 | 20.5 | 26.1 | 22 | 25.2 | 31.8 | 36 | ||||||||||||||||||||||||||||||||||||||||||||
Average time to clear exports through customs (days) | IC.CUS.DURS.EX | 3.71 | 2.25 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Delay in obtaining an electrical connection (days) | IC.ELC.DURS | 14.61 | 15.54 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Power outages in firms in a typical month (number) | IC.ELC.OUTG | 2.05 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Time required to get electricity (days) | IC.ELC.TIME | 101 | 101 | 108 | 108 | |||||||||||||||||||||||||||||||||||||||||||||||||
Firing cost (weeks of wages) | IC.EMP.FIRE.WK | 108 | 108 | 108 | 108 | 108 | 108 | 108 | ||||||||||||||||||||||||||||||||||||||||||||||
Cost to export (US$ per container) | IC.EXP.COST.CD | 486 | 486 | 607 | 644 | 644 | 644 | 644 | 644 | |||||||||||||||||||||||||||||||||||||||||||||
Documents to export (number) | IC.EXP.DOCS | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | |||||||||||||||||||||||||||||||||||||||||||||
Time to export (days) | IC.EXP.DURS | 22 | 22 | 18 | 18 | 18 | 17 | 17 | 17 | |||||||||||||||||||||||||||||||||||||||||||||
Firms using banks to finance investment (% of firms) | IC.FRM.BNKS.ZS | 34.02 | 11.67 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Informal payments to public officials (% of firms) | IC.FRM.CORR.ZS | 44.18 | 14.89 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Losses due to theft, robbery, vandalism, and arson (% sales) | IC.FRM.CRIM.ZS | 0.22 | 0.37 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Time required to obtain an operating license (days) | IC.FRM.DURS | 21.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Firms with female participation in ownership (% of firms) | IC.FRM.FEMO.ZS | 42.84 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Firms formally registered when operations started (% of firms) | IC.FRM.FREG.ZS | 29.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Firms that do not report all sales for tax purposes (% of firms) | IC.FRM.INFM.ZS | 44.04 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
ISO certification ownership (% of firms) | IC.FRM.ISOC.ZS | 22.13 | 2.88 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Value lost due to electrical outages (% of sales) | IC.FRM.OUTG.ZS | 3.3 | 2.17 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Firms offering formal training (% of firms) | IC.FRM.TRNG.ZS | 23.83 | 4.73 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Management time dealing with officials (% of management time) | IC.GOV.DURS.ZS | 3.98 | 1.63 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Cost to import (US$ per container) | IC.IMP.COST.CD | 675 | 675 | 623 | 660 | 660 | 660 | 660 | 660 | |||||||||||||||||||||||||||||||||||||||||||||
Documents to import (number) | IC.IMP.DOCS | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | |||||||||||||||||||||||||||||||||||||||||||||
Time to import (days) | IC.IMP.DURS | 27 | 27 | 27 | 27 | 27 | 27 | 27 | 23 | |||||||||||||||||||||||||||||||||||||||||||||
Time to resolve insolvency (years) | IC.ISV.DURS | 6 | 6 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | 5.5 | |||||||||||||||||||||||||||||||||||||||||||
Strength of legal rights index (0=weak to 10=strong) | IC.LGL.CRED.XQ | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | ||||||||||||||||||||||||||||||||||||||||||||
Time required to enforce a contract (days) | IC.LGL.DURS | 498 | 498 | 498 | 498 | 498 | 498 | 498 | 498 | 498 | 498 | |||||||||||||||||||||||||||||||||||||||||||
Procedures to enforce a contract (number) | IC.LGL.PROC | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | |||||||||||||||||||||||||||||||||||||||||||
Time required to register property (days) | IC.PRP.DURS | 39 | 39 | 39 | 39 | 39 | 22 | 22 | 22 | 22 | ||||||||||||||||||||||||||||||||||||||||||||
Procedures to register property (number) | IC.PRP.PROC | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | ||||||||||||||||||||||||||||||||||||||||||||
Cost of business start-up procedures (% of GNI per capita) | IC.REG.COST.PC.ZS | 136.7 | 130.7 | 101.7 | 86.7 | 80 | 76.7 | 25 | 25.8 | 23.5 | 22.7 | |||||||||||||||||||||||||||||||||||||||||||
Time required to start a business (days) | IC.REG.DURS | 168 | 151 | 151 | 97 | 105 | 76 | 62 | 49 | 47 | 47 | |||||||||||||||||||||||||||||||||||||||||||
Start-up procedures to register a business (number) | IC.REG.PROC | 12 | 12 | 12 | 12 | 12 | 11 | 10 | 10 | 9 | 9 | |||||||||||||||||||||||||||||||||||||||||||
Time to prepare and pay taxes (hours) | IC.TAX.DURS | 560 | 576 | 266 | 266 | 266 | 266 | 266 | 259 | |||||||||||||||||||||||||||||||||||||||||||||
Firms expected to give gifts in meetings with tax officials (% of firms) | IC.TAX.GIFT.ZS | 11.22 | 14.01 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Labor tax and contributions (% of commercial profits) | IC.TAX.LABR.CP.ZS | 10.6 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Average number of times firms spent in meetings with tax officials | IC.TAX.METG | 0.95 | 0.15 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Other taxes payable by businesses (% of commercial profits) | IC.TAX.OTHR.CP.ZS | 0.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Tax payments (number) | IC.TAX.PAYM | 51 | 51 | 51 | 51 | 51 | 51 | 51 | 51 | |||||||||||||||||||||||||||||||||||||||||||||
Profit tax (% of commercial profits) | IC.TAX.PRFT.CP.ZS | 23.7 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Total tax rate (% of commercial profits) | IC.TAX.TOTL.CP.ZS | 37.3 | 37.3 | 37.3 | 37.3 | 37.6 | 37.3 | 34.5 | 34.5 | |||||||||||||||||||||||||||||||||||||||||||||
Time required to build a warehouse (days) | IC.WRH.DURS | 186 | 186 | 158 | 158 | 158 | 158 | 158 | 158 | |||||||||||||||||||||||||||||||||||||||||||||
Procedures to build a warehouse (number) | IC.WRH.PROC | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | |||||||||||||||||||||||||||||||||||||||||||||
Investment in energy with private participation (current US$) | IE.PPI.ENGY.CD | 137000000 | 595500000 | 2470000000 | 3203600000 | 2725000000 | 330000000 | 125000000 | 187600000 | 829000000 | 158000000 | 105900000 | 611100000 | 305000000 | 2863200000 | 0 | 2300000000 | 35000000 | ||||||||||||||||||||||||||||||||||||
Investment in telecoms with private participation (current US$) | IE.PPI.TELE.CD | 250000000 | 1249000000 | 1804000000 | 3694000000 | 1510600000 | 579300000 | 1259600000 | 642300000 | 1421300000 | 1321500000 | 939500000 | 895000000 | 1337600000 | 1676100000 | 3516600000 | 2876000000 | 1832900000 | 1107900000 | 813000000 | ||||||||||||||||||||||||||||||||||
Investment in transport with private participation (current US$) | IE.PPI.TRAN.CD | 116000000 | 10800000 | 114500000 | 351500000 | 26700000 | 502800000 | 1028000000 | 0 | 159200000 | 372000000 | 1139500000 | 220000000 | |||||||||||||||||||||||||||||||||||||||||
Investment in water and sanitation with private participation (current US$) | IE.PPI.WATR.CD | 200000000 | 123200000 | 632000000 | 0 | 0 | 36700000 | 0 | 0 | 8100000 | 0 | 20200000 | 0 | 0 | ||||||||||||||||||||||||||||||||||||||||
Scientific and technical journal articles | IP.JRN.ARTC.SC | 72 | 66 | 59 | 86 | 104 | 89 | 86 | 103 | 120 | 129.5 | 141 | 146.1 | 136 | 162.7 | 181.6 | 188.7 | 178.3 | 156.6 | 181.6 | 205.2 | 215.1 | 197.5 | 218.9 | 262 | |||||||||||||||||||||||||||||
Patent applications, nonresidents | IP.PAT.NRES | 155 | 115 | 132 | 178 | 266 | 276 | 325 | 486 | 518 | 494 | 464 | 397 | 463 | 465 | 475 | 636 | 682 | 559 | 731 | 591 | 601 | 661 | 1280 | 3905 | 2031 | 2305 | 2813 | 3957 | 3939 | 1753 | 2784 | 3733 | 3714 | 3609 | 3099 | 3441 | 4069 | 4324 | |||||||||||||||
Patent applications, residents | IP.PAT.RESD | 3 | 10 | 8 | 7 | 4 | 4 | 8 | 5 | 1 | 3 | 3 | 2 | 9 | 12 | 5 | 16 | 40 | 26 | 49 | 32 | 62 | 113 | 34 | 67 | 38 | 29 | 61 | 40 | 79 | 93 | 152 | 157 | 212 | 234 | 201 | 227 | 235 | 288 | |||||||||||||||
Trademark applications, aggregate direct | IP.TMK.AGGD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Trademark applications, Madrid | IP.TMK.MDRD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Trademark applications, direct nonresident | IP.TMK.NRES | 540 | 656 | 451 | 485 | 261 | 1088 | 1238 | 1311 | 1410 | 1668 | 2311 | 1438 | 1507 | 1534 | 1840 | 1790 | 1343 | 1670 | 2300 | 2479 | 2383 | 2252 | 2581 | 4339 | 4682 | 3114 | 2427 | 2417 | 5251 | 9714 | 11938 | 12520 | 9581 | 8023 | 13685 | 10082 | 16005 | 11078 | 14051 | 5018 | 4525 | ||||||||||||
Trademark applications, direct resident | IP.TMK.RESD | 2234 | 3683 | 2056 | 3138 | 2187 | 1813 | 4496 | 2878 | 3486 | 4276 | 3608 | 3349 | 4002 | 4354 | 4302 | 5076 | 6714 | 5425 | 10129 | 10513 | 10510 | 9802 | 11807 | 14912 | 15109 | 15728 | 16711 | 13363 | 22237 | 15696 | 16251 | 26128 | 20423 | 28317 | 35626 | 30734 | 36644 | 32181 | 33555 | 37759 | 43269 | ||||||||||||
Trademark applications, total | IP.TMK.TOTL | 2774 | 4339 | 2507 | 3623 | 2448 | 2901 | 5734 | 4189 | 4896 | 5944 | 5919 | 4787 | 5509 | 5888 | 6142 | 6866 | 8057 | 7095 | 12429 | 12992 | 12893 | 12054 | 14388 | 19251 | 19791 | 18842 | 19138 | 15780 | 27488 | 25410 | 28189 | 38648 | 30004 | 36340 | 49311 | 40816 | 52649 | 43259 | 47606 | 42777 | 47794 | ||||||||||||
CPIA business regulatory environment rating (1=low to 6=high) | IQ.CPA.BREG.XQ | 3 | 3 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA debt policy rating (1=low to 6=high) | IQ.CPA.DEBT.XQ | 4.5 | 4.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA economic management cluster average (1=low to 6=high) | IQ.CPA.ECON.XQ | 4.3333333333 | 4.3333333333 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA policy and institutions for environmental sustainability rating (1=low to 6=high) | IQ.CPA.ENVR.XQ | 2.5 | 3 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA quality of budgetary and financial management rating (1=low to 6=high) | IQ.CPA.FINQ.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA financial sector rating (1=low to 6=high) | IQ.CPA.FINS.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA fiscal policy rating (1=low to 6=high) | IQ.CPA.FISP.XQ | 4 | 4 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA gender equality rating (1=low to 6=high) | IQ.CPA.GNDR.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA building human resources rating (1=low to 6=high) | IQ.CPA.HRES.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
IDA resource allocation index (1=low to 6=high) | IQ.CPA.IRAI.XQ | 3.65 | 3.675 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA macroeconomic management rating (1=low to 6=high) | IQ.CPA.MACR.XQ | 4.5 | 4.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA quality of public administration rating (1=low to 6=high) | IQ.CPA.PADM.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA equity of public resource use rating (1=low to 6=high) | IQ.CPA.PRES.XQ | 4 | 4 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA property rights and rule-based governance rating (1=low to 6=high) | IQ.CPA.PROP.XQ | 2.5 | 2.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA social protection rating (1=low to 6=high) | IQ.CPA.PROT.XQ | |||||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA public sector management and institutions cluster average (1=low to 6=high) | IQ.CPA.PUBS.XQ | 3.2 | 3.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA efficiency of revenue mobilization rating (1=low to 6=high) | IQ.CPA.REVN.XQ | 3.5 | 3.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA policies for social inclusion/equity cluster average (1=low to 6=high) | IQ.CPA.SOCI.XQ | |||||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA structural policies cluster average (1=low to 6=high) | IQ.CPA.STRC.XQ | 3.6666666667 | 3.6666666667 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA trade rating (1=low to 6=high) | IQ.CPA.TRAD.XQ | 4.5 | 4.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
CPIA transparency, accountability, and corruption in the public sector rating (1=low to 6=high) | IQ.CPA.TRAN.XQ | 3 | 3 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Burden of customs procedure, WEF (1=extremely inefficient to 7=extremely efficient) | IQ.WEF.CUST.XQ | 3.0135135135 | 3.2612984833 | 3.6973797069 | 3.8633159284 | 3.9 | ||||||||||||||||||||||||||||||||||||||||||||||||
Quality of port infrastructure, WEF (1=extremely underdeveloped to 7=well developed and efficient by international standards) | IQ.WEF.PORT.XQ | 2.6631936822 | 3.0448873437 | 3.3962824572 | 3.6232083659 | 3.6 | ||||||||||||||||||||||||||||||||||||||||||||||||
Air transport, registered carrier departures worldwide | IS.AIR.DPRT | 23500 | 24000 | 34200 | 42500 | 64800 | 74100 | 91600 | 105500 | 115300 | 120400 | 124800 | 142600 | 145300 | 143400 | 183000 | 185800 | 181500 | 190600 | 206100 | 193200 | 205400 | 215700 | 236900 | 227200 | 230500 | 262200 | 311200 | 194700 | 196700 | 135000 | 159027 | 164651 | 152278 | 155609 | 318488 | 320724 | 357414 | 357789 | 345240 | 330112 | 404547 | ||||||||||||
Air transport, freight (million ton-km) | IS.AIR.GOOD.MT.K1 | 14.1999998093 | 17.6000003815 | 19.8999996185 | 27.7000007629 | 41.2999992371 | 42.9000015259 | 43.5999984741 | 52.0999984741 | 58.9000015259 | 79.8000030518 | 121.9000015259 | 156 | 177.8999938965 | 189 | 169.8000030518 | 153.1000061035 | 222 | 340.200012207 | 455 | 438.200012207 | 458.6000061035 | 475.5 | 504.1000061035 | 615.5 | 733.700012207 | 782.5999755859 | 749.4000244141 | 710 | 429.3999938965 | 362 | 408.542 | 408.372 | 405.498 | 424.362 | 434.101 | 439.773 | 469.222 | 484.52 | 394.583 | 276.918 | 659.687 | ||||||||||||
Air transport, passengers carried | IS.AIR.PSGR | 826400 | 994500 | 1286800 | 1787400 | 2219700 | 2527500 | 3103200 | 3781300 | 4431100 | 4656100 | 5059100 | 6098100 | 6028700 | 5567500 | 6494300 | 6468100 | 7115400 | 7568900 | 8823700 | 8983400 | 9223100 | 10401800 | 11176800 | 12009000 | 13924500 | 15977200 | 17138800 | 12650200 | 12613600 | 8046800 | 9916365 | 12453812 | 12113452 | 12221066 | 26780550 | 26835524 | 29867483 | 30405918 | 29766093 | 27421235 | 35321225 | ||||||||||||
Road sector diesel fuel consumption (kt of oil equivalent) | IS.ROD.DESL.KT | 1161 | 1281 | 1325 | 1591 | 1668 | 1629 | 1749 | 1812 | 1946 | 2332 | 2651 | 3041 | 2998 | 3049 | 3165 | 3327 | 3605 | 3964 | 3852 | 4470 | 4860 | 5088 | 5464 | 6136 | 6670 | 7467 | 8288 | 7845 | 7948 | 8762 | 9279 | 9168 | 8765 | 7797 | 7240 | 6497 | 6730 | 8293 | 10755 | 12854 | |||||||||||||
Road sector diesel fuel consumption per capita (kg of oil equivalent) | IS.ROD.DESL.PC | 9.5629735108 | 10.2885166725 | 10.3789456453 | 12.1577117936 | 12.4379291039 | 11.8574421008 | 12.4317593082 | 12.5809988591 | 13.2018412756 | 15.4621357888 | 17.1835529299 | 19.2763062312 | 18.5927457134 | 18.5116692032 | 18.8259272621 | 19.4025456408 | 20.6274192623 | 22.2688122027 | 21.2585269831 | 24.2478897243 | 25.9266648813 | 26.7069172664 | 28.2339837457 | 31.2282992965 | 33.4502941843 | 36.9183690067 | 40.4167552653 | 37.7455105492 | 37.7378600989 | 41.0599270103 | 42.9178993074 | 41.8579744954 | 39.5105942373 | 34.7140395486 | 31.8517328234 | 28.2578334144 | 28.9509999637 | 35.2966983086 | 45.3005196671 | 53.5871504934 | |||||||||||||
Road density (km of road per 100 sq. km of land area) | IS.ROD.DNST.K2 | 19 | 20 | 21 | 21 | 20.8111017185 | 23 | 25 | ||||||||||||||||||||||||||||||||||||||||||||||
Road sector energy consumption (kt of oil equivalent) | IS.ROD.ENGY.KT | 2523 | 2707 | 2895 | 3318 | 3606 | 3738 | 4069 | 4435 | 4771 | 5407 | 6020 | 6412 | 6192 | 6318 | 6506 | 6967 | 7557 | 8201 | 8461 | 9639 | 10360 | 10946 | 11536 | 12935 | 14158 | 15648 | 17449 | 17216 | 17324 | 18880 | 19912 | 20329 | 20634 | 21473 | 21349 | 20759 | 21928 | 23744.719 | 28334.068 | 31576.223 | |||||||||||||
Road sector energy consumption per capita (kg of oil equivalent) | IS.ROD.ENGY.PC | 20.7815522548 | 21.7416195414 | 22.6770170891 | 25.3546748782 | 26.8891920555 | 27.208789793 | 28.9221432961 | 30.7928973179 | 32.3668986258 | 35.8506724743 | 39.0211198181 | 40.644418137 | 38.4010278377 | 38.3590442852 | 38.6987307322 | 40.630458515 | 43.240334914 | 46.0712736817 | 46.6948070623 | 52.2875635465 | 55.2675407758 | 57.4555653297 | 59.6096699286 | 65.8308427967 | 71.002888315 | 77.3668994531 | 85.090729081 | 82.8332325832 | 82.2560000444 | 88.4742549595 | 92.0984169641 | 92.8153101568 | 93.0133030796 | 95.602740955 | 93.9230171334 | 90.2884968214 | 94.3294988415 | 101.0623637967 | 119.3443054098 | 131.6383860209 | |||||||||||||
Road sector energy consumption (% of total energy consumption) | IS.ROD.ENGY.ZS | 7.1976318507 | 7.4186627355 | 7.586691711 | 8.3869617778 | 8.7660554219 | 8.6928619325 | 8.5165869898 | 8.6733187925 | 8.915028011 | 9.7053021877 | 10.2675983438 | 10.6714886084 | 10.1198769042 | 9.9366628179 | 9.8824474821 | 9.5935773953 | 10.0765034221 | 10.6449359232 | 10.3931073394 | 9.7736194892 | 10.0141115845 | 10.1501990212 | 9.7388711975 | 10.9057902529 | 10.8227230248 | 11.5428102643 | 12.4523221786 | 12.5600583418 | 12.058054619 | 12.170561027 | 12.4930484988 | 12.3049205682 | 12.4930553773 | 12.125032399 | 11.8269596967 | 11.1975428775 | 11.8734386094 | 12.7032353798 | 14.2730760325 | 15.1919328096 | |||||||||||||
Roads, goods transported (million ton-km) | IS.ROD.GOOD.MT.K6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Roads, paved (% of total roads) | IS.ROD.PAVE.ZS | 45.0999984741 | 45.2999992371 | 53.5999984741 | 53.7999992371 | 53.7999992371 | 52.4000015259 | 46.2999992371 | 56.4000015259 | 47.2999992371 | 46.2999992371 | 57.0999984741 | 58.9000015259 | 58 | 58.3264960218 | 55.322 | 55.4242996964 | 53.0053784466 | 60.8604267736 | 59.1064946694 | 56.94078 | |||||||||||||||||||||||||||||||||
Roads, passengers carried (million passenger-km) | IS.ROD.PSGR.K6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Road sector gasoline fuel consumption (kt of oil equivalent) | IS.ROD.SGAS.KT | 1236 | 1292 | 1425 | 1563 | 1758 | 1919 | 2112 | 2393 | 2578 | 2799 | 3064 | 3053 | 2889 | 2958 | 3021 | 3295 | 3578 | 3833 | 4184 | 4687 | 4982 | 5309 | 5495 | 6150 | 6776 | 7396 | 8283 | 8489 | 8490 | 9159 | 9627 | 10125 | 10800 | 12520 | 12942 | 13112 | 13965 | 15344 | 17605 | 18893 | |||||||||||||
Road sector gasoline fuel consumption per capita (kg of oil equivalent) | IS.ROD.SGAS.PC | 10.1807366575 | 10.3768645908 | 11.1622622978 | 11.9437482925 | 13.1090403865 | 13.9683433956 | 15.0119357684 | 16.6149725551 | 17.4893868492 | 18.5585411976 | 19.860583243 | 19.3523718921 | 17.9167586278 | 17.9591726805 | 17.9693921829 | 19.2159266265 | 20.4729281887 | 21.5328852606 | 23.0907780107 | 25.4250244156 | 26.5774988557 | 27.8669464951 | 28.3941692318 | 31.2995503054 | 33.9818880649 | 36.5673305442 | 40.3923725702 | 40.8440585153 | 40.3113276597 | 42.9203231554 | 44.5274939792 | 46.2273114928 | 48.6839039091 | 55.7419231946 | 56.9371721271 | 57.0288920624 | 60.0744003704 | 65.3071914684 | 74.1530124351 | 78.7631892229 | |||||||||||||
Roads, total network (km) | IS.ROD.TOTL.KM | 288727 | 313897 | 319758 | 344892 | 356878 | 327227 | 336377 | 341467 | 355363 | 342700 | 355950 | 368360 | 370516 | 372629 | 391009 | 393794 | 421535 | 437759 | 476337 | ||||||||||||||||||||||||||||||||||
Railways, goods transported (million ton-km) | IS.RRS.GOOD.MT.K6 | 1000 | 970 | 950 | 800 | 900 | 1270 | 1355 | 1575 | 1903 | 2976 | 3190 | 3465 | 3778.602 | 3955.725 | 3820 | 4170 | 4730 | 4980 | 4960 | 4698 | 4698 | 4390 | |||||||||||||||||||||||||||||||
Railways, passengers carried (million passenger-km) | IS.RRS.PASG.KM | 5900 | 5900 | 6200 | 6300 | 6100 | 6343 | 7327 | 7521 | 7744 | 8390 | 9290 | 9726 | 10458.023 | 12224.251 | 13424 | 15520 | 15207 | 15162 | 16196 | 25535 | 25535 | 14344 | |||||||||||||||||||||||||||||||
Rail lines (total route-km) | IS.RRS.TOTL.KM | 6458 | 6458 | 6458 | 6458 | 6458 | 6458 | 6458 | 6458 | 4992 | 4992 | 4992 | 5041 | 5041 | 5041 | 5324 | 5324 | 3370 | ||||||||||||||||||||||||||||||||||||
Liner shipping connectivity index (maximum value in 2004 = 100) | IS.SHP.GCNW.XQ | 25.8789660729 | 28.8439259397 | 25.8449727358 | 26.2668186092 | 24.8467705974 | 25.6764919136 | 25.6013456765 | 25.91 | |||||||||||||||||||||||||||||||||||||||||||||
Container port traffic (TEU: 20 foot equivalent units) | IS.SHP.GOOD.TU | 3797948 | 3901761 | 4539880 | 5176982 | 5369297 | 5503176 | 4316296 | 6582910 | 7404831 | 7243557.41 | 8371058.0664 | ||||||||||||||||||||||||||||||||||||||||||
Motor vehicles (per 1,000 people) | IS.VEH.NVEH.P3 | 36 | 39.8657035917 | 46.9048458279 | 180.4818587227 | 59.5927356032 | ||||||||||||||||||||||||||||||||||||||||||||||||
Passenger cars (per 1,000 people) | IS.VEH.PCAR.P3 | 21 | 26.2496918093 | 29.5843471811 | 31.8783367202 | 34.3983498721 | 37.0659368375 | |||||||||||||||||||||||||||||||||||||||||||||||
Vehicles (per km of road) | IS.VEH.ROAD.K1 | 21 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Mobile cellular subscriptions | IT.CEL.SETS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1750 | 2029 | 4531 | 6321 | 9008 | 12928 | 18096 | 24528 | 35546 | 53438 | 78024 | 210643 | 562517 | 916173 | 1065820 | 2220969 | 3669327 | 6520947 | 11700000 | 18495251 | 30336607 | 46909972 | 63803015 | 93386881 | 140578243 | 163676961 | 211290235 | 236799493 | |||||||||||||
Mobile cellular subscriptions (per 100 people) | IT.CEL.SETS.P2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0010624933 | 0.0012068817 | 0.0026424086 | 0.0036168077 | 0.0050604808 | 0.0071347414 | 0.0098163269 | 0.0130849637 | 0.0186580991 | 0.0276128774 | 0.0397092051 | 0.1056382357 | 0.2781198631 | 0.4467753369 | 0.5128096884 | 1.0545372094 | 1.7194966765 | 3.0161153867 | 5.3418226614 | 8.3372316894 | 13.5065560493 | 20.6376228577 | 27.7502688811 | 40.1730102294 | 59.8329655363 | 68.9414355261 | 88.0849667086 | 97.7195376248 | |||||||||||||
Telephone lines | IT.MLT.MAIN | 82862 | 121000 | 143000 | 207500 | 219400 | 241000 | 275100 | 317100 | 375800 | 427185 | 475459 | 503253 | 536102 | 602356 | 677279 | 759127 | 828812 | 863814 | 1066222 | 1295002 | 1652378 | 1863947 | 2462831 | 3290854 | 4186030 | 4982466 | 5571644 | 6080193 | 6662605 | 7218938 | 7750035 | 8058139 | 10376381 | 13507830 | 14820733 | 19529507 | 30378071 | 33957892 | 37959600 | ||||||||||||||
Telephone lines (per 100 people) | IT.MLT.MAIN.P2 | 0.0901196882 | 0.1161822743 | 0.1208160678 | 0.1547284346 | 0.1597006014 | 0.1713009716 | 0.1910062244 | 0.2151235287 | 0.2491711248 | 0.2768976257 | 0.3013841922 | 0.3121032374 | 0.3254884514 | 0.3582910029 | 0.3949785605 | 0.4343642414 | 0.4656069319 | 0.4767241232 | 0.5783810621 | 0.6908453266 | 0.8673333832 | 0.9631524396 | 1.2534228094 | 1.6503753286 | 2.0696585002 | 2.4297189785 | 2.6807463018 | 2.8869334777 | 3.1221875713 | 3.3389552127 | 3.5384027854 | 3.6324228219 | 4.6198037759 | 5.9426490633 | 6.4460797936 | 8.4011702295 | 12.9295261942 | 14.6610340704 | 17.0628828619 | 15.9361924387 | |||||||||||||
Fixed broadband Internet subscribers | IT.NET.BBND | 0 | 4000 | 15000 | 38300 | 61600 | 84900 | 108200 | 194367 | 778770 | 981562 | 1863821 | 2280316 | 2736379 | ||||||||||||||||||||||||||||||||||||||||
Fixed broadband Internet subscribers (per 100 people) | IT.NET.BBND.P2 | 0 | 0.0018744546 | 0.0069379081 | 0.0174864793 | 0.0277678563 | 0.0377994351 | 0.0476016228 | 0.0845373296 | 0.335009959 | 0.4177727937 | 0.7850493711 | 0.9506428868 | 1.1292156383 | ||||||||||||||||||||||||||||||||||||||||
Secure Internet servers | IT.NET.SECR | 60 | 60 | 85 | 103 | 131 | 169 | 234 | 320 | 480 | 820 | |||||||||||||||||||||||||||||||||||||||||||
Secure Internet servers (per 1 million people) | IT.NET.SECR.P6 | 0.2775163227 | 0.2704661328 | 0.3784395744 | 0.4531392929 | 0.5697669967 | 0.7270013364 | 0.9959516947 | 1.3478536768 | 2.0010761037 | 3.3838763689 | |||||||||||||||||||||||||||||||||||||||||||
Internet users (per 100 people) | IT.NET.USER.P2 | 0 | 0.0010597444 | 0.0261094772 | 0.0566239887 | 0.1949102636 | 0.2553066463 | 0.444415936 | 0.9255638645 | 2.0186138595 | 2.134135733 | 2.3870197796 | 2.6002858763 | 3.6020247626 | 4.7648131337 | 5.7862747293 | 7.9174793849 | 6.92 | 10.92 | 18 | ||||||||||||||||||||||||||||||||||
Daily newspapers (per 1,000 people) | IT.PRT.NEWS.P3 | 24.5 | 22.89 | 22.91 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Lead time to export, median case (days) | LP.EXP.DURS.MD | 2.5 | 2.12 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Lead time to import, median case (days) | LP.IMP.DURS.MD | 3.9 | 5.35 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Efficiency of customs clearance process (1=low to 5=high) | LP.LPI.CUST.XQ | 2.73 | 2.43 | 2.53 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Quality of trade and transport-related infrastructure (1=low to 5=high) | LP.LPI.INFR.XQ | 2.83 | 2.54 | 2.54 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Ease of arranging competitively priced shipments (1=low to 5=high) | LP.LPI.ITRN.XQ | 3.05 | 2.82 | 2.97 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Competence and quality of logistics services (1=low to 5=high) | LP.LPI.LOGS.XQ | 2.9 | 2.47 | 2.85 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Overall (1=low to 5=high) | LP.LPI.OVRL.XQ | 3.01 | 2.76 | 2.94 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Frequency with which shipments reach consignee within scheduled or expected time (1=low to 5=high) | LP.LPI.TIME.XQ | 3.28 | 3.46 | 3.61 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Logistics performance index: Ability to track and trace consignments (1=low to 5=high) | LP.LPI.TRAC.XQ | 3.3 | 2.77 | 3.12 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Arms imports (constant 1990 US$) | MS.MIL.MPRT.KD | 429000000 | 899000000 | 1069000000 | 173000000 | 530000000 | 353000000 | 16000000 | 1000000 | 5000000 | 9000000 | 28000000 | 90000000 | 5000000 | 70000000 | 65000000 | 4000000 | 156000000 | 60000000 | 173000000 | 380000000 | 897000000 | 784000000 | 342000000 | 236000000 | 95000000 | 282000000 | 419000000 | 245000000 | 283000000 | 287000000 | 155000000 | 11000000 | 51000000 | 212000000 | 466000000 | 281000000 | 378000000 | 108000000 | 89000000 | 165000000 | 147000000 | 28000000 | 68000000 | 358000000 | 77000000 | 36000000 | 63000000 | 576000000 | 238000000 | 461000000 | 228000000 | 201000000 | |
Armed forces personnel, total | MS.MIL.TOTL.P1 | 278100 | 285000 | 283000 | 278000 | 283000 | 271000 | 280000 | 460500 | 485200 | 484000 | 499000 | 499000 | 492000 | 492000 | 492000 | 497000 | 582000 | 582000 | 582000 | 582000 | 582000 | 582000 | 582000 | ||||||||||||||||||||||||||||||
Armed forces personnel (% of total labor force) | MS.MIL.TOTL.TF.ZS | 0.3682906119 | 0.3543832612 | 0.3535928006 | 0.3264919276 | 0.3269061174 | 0.5196407927 | 0.5301501731 | 0.5285561809 | 0.5385461156 | 0.5098511128 | 0.493841238 | 0.4856044803 | 0.477922544 | 0.4733900612 | 0.5431197613 | 0.5324159653 | 0.5237467175 | 0.5162426879 | 0.5090743641 | 0.4999688177 | 0.4933800419 | ||||||||||||||||||||||||||||||||
Military expenditure (current LCU) | MS.MIL.XPND.CN | 1410000000000 | 1537000000000 | 1833000000000 | 2039000000000 | 2361000000000 | 2486000000000 | 2981000000000 | 3434000000000 | 4030000000000 | 4634000000000 | 6144000000000 | 6389000000000 | 7864000000000 | 14308000000000 | 19876000000000 | 21712000000000 | 20829000000000 | 23923000000000 | 30611000000000 | 31349000000000 | 34333000000000 | 42392000000000 | 49984000000000 | ||||||||||||||||||||||||||||||
Military expenditure (% of GDP) | MS.MIL.XPND.GD.ZS | 0.9420770143 | 0.8558774091 | 0.8692711858 | 0.8157024308 | 0.8360632427 | 0.7538447786 | 0.7799179182 | 0.755532102 | 0.756710891 | 0.7382561934 | 0.6428435768 | 0.5809599304 | 0.4776708323 | 0.7853627011 | 0.9870512542 | 0.9457161566 | 0.7507890802 | 0.7164254804 | 0.7747868254 | 0.6334809849 | 0.6124108876 | 0.6586422693 | 0.6729961042 | ||||||||||||||||||||||||||||||
Military expenditure (% of central government expenditure) | MS.MIL.XPND.ZS | 7.9773082942 | 7.7580258272 | 7.0389435356 | 7.9470022127 | 7.9520192664 | 7.6253547777 | 5.888654365 | 4.877549222 | 3.5904251583 | 5.1021918243 | 6.4546200591 | 5.9712647734 | 4.5404494451 | 4.0241095961 | 4.5161044831 | 3.4344142049 | 3.8885261547 | 4.5676740917 | |||||||||||||||||||||||||||||||||||
Arms exports (constant 1990 US$) | MS.MIL.XPRT.KD | 7000000 | 6000000 | 6000000 | 9000000 | 4000000 | 8000000 | 4000000 | 16000000 | 16000000 | 25000000 | 8000000 | 49000000 | 16000000 | 49000000 | 25000000 | 8000000 | 8000000 | 4000000 | |||||||||||||||||||||||||||||||||||
General government final consumption expenditure (current US$) | NE.CON.GOVT.CD | 401723469.748227 | 507509470.700923 | 585423338.01227 | 771794489.512329 | 833346049.255378 | 959134914.93012 | 1658792750.26506 | 1948385595.83614 | 2905204879.11325 | 3685951828.51084 | 4811879574.51566 | 5783282854.99992 | 5260167657.14089 | 8210657594.39577 | 10212738542.5007 | 10929061948.9341 | 8883377531.86577 | 8890773939.66878 | 9808388487.50803 | 8833114346.15979 | 7156066771.51604 | 7567064443.13314 | 8868399677.75963 | 10119870775.8862 | 10657021111.7348 | 12183386469.2467 | 14257437617.2067 | 14353349895.8491 | 15825045257.7254 | 17204969110.5433 | 14763283767.9479 | 5434199885.59383 | 9246329306.65485 | 10779164224.8088 | 11053285480.0226 | 14199987330.4344 | 19085795169.3866 | 21373634007.6269 | 23182542684.1098 | 31452114680.024 | 36074838967.2902 | 42981882961.1513 | 51741283202.7904 | 64014697920.5245 | 76101158008.1562 | ||||||||
General government final consumption expenditure (current LCU) | NE.CON.GOVT.CN | 43000004 | 54000004 | 80000008 | 219000016 | 489000032 | 1279000064 | 26727999488 | 60090998784 | 150370992128 | 190848008192 | 281704988672 | 327855013888 | 398040989696 | 688398991360 | 808580022272 | 1205660024832 | 1529670008832 | 1996930023424 | 2556500115456 | 3277400047616 | 5148000124928 | 6451999801344 | 7228699967488 | 8077299941376 | 9121400094720 | 10892999655424 | 11328999653376 | 11763500187648 | 12755800162304 | 15697600053248 | 18648999657472 | 20784600842240 | 24731300397056 | 29756699443200 | 31014000787456 | 35584198311936 | 40299199987712 | 42952000798720 | 54415901851648 | 72631302750208 | 90779700000000 | 113416100000000 | 132218800000000 | 163701400000000 | 191055700000000 | 224980600000000 | 288079870000000 | 329760103000000 | 416866669000000 | 537588828000000 | 581921343800000 | 667440132900000 | |
General government final consumption expenditure (constant 2000 US$) | NE.CON.GOVT.KD | 1626629159.28744 | 1510188424.7749 | 1219069966.71376 | 1226346197.50807 | 1441040451.25565 | 1044384959.4639 | 1459225176.37887 | 1291833893.25711 | 1462867276.02287 | 1499257768.07293 | 1746706639.61228 | 1888629994.38455 | 2041468317.88684 | 2605504945.42167 | 2332584036.77828 | 3042182383.49796 | 3264163451.19552 | 3799074736.28807 | 4468655556.74705 | 5004844539.99859 | 5990181653.94033 | 6579877080.14991 | 7171821115.67067 | 7038504232.10692 | 7279021261.18833 | 7821018280.27307 | 8052842180.77715 | 8038903791.23299 | 8648008973.96184 | 9538997130.57322 | 10000172706.4162 | 10526507651.167 | 11129355076.2004 | 11149700632.6966 | 11406704475.2081 | 11559729435.7734 | 11870877200.7377 | 11878145463.0383 | 10052292631.4734 | 10122135482.5434 | 10779164224.8088 | 11594467374.2663 | 13100990572.9405 | 14415499626.7349 | 14990734630.674 | 15985412784.7987 | 17521683392.8231 | 18203955566.2648 | 20102314434.6095 | 23253341120.6858 | 23320213481.1891 | 24058045848.0933 | |
General government final consumption expenditure (annual % growth) | NE.CON.GOVT.KD.ZG | -7.158406933 | -19.2769626151 | 0.5968673655 | 17.5068226398 | -27.5256320144 | 39.7210064312 | -11.4712441802 | 13.2395800775 | 2.4876140609 | 16.5047583417 | 8.1251969594 | 8.0925498354 | 27.6289679635 | -10.4747799125 | 30.4211267646 | 7.2967705323 | 16.3873927605 | 17.6248393869 | 11.9988881766 | 19.687666741 | 9.8443663361 | 8.9962780202 | -1.8588986174 | 3.4171611063 | 7.4460150566 | 2.9641140347 | -0.1730865852 | 7.5769681856 | 10.3028125814 | 4.8346337621 | 5.2632585477 | 5.7269461536 | 0.1828098426 | 2.3050290853 | 1.3415352427 | 2.691652661 | 0.0612276766 | -15.3715311641 | 0.6947952435 | 6.4910091689 | 7.5636954077 | 12.9934661942 | 10.0336615501 | 3.9903924167 | 6.6352862527 | 9.6104531594 | 3.8938734261 | 10.4282767634 | 15.6749447748 | 0.2875817293 | 3.163917721 | ||
General government final consumption expenditure (constant LCU) | NE.CON.GOVT.KN | 13699105423360 | 12718467710976 | 10266733445120 | 10328012226560 | 12136119009280 | 8795575549952 | 12289266679808 | 10879534891008 | 12319939624960 | 12626412175360 | 14710370992128 | 15905617608704 | 17192787640320 | 21942977429504 | 19644498837504 | 25620576731136 | 27490051424256 | 31994954121216 | 37634013396992 | 42149676580864 | 50447964438528 | 55414246866944 | 60399466577920 | 59276701728768 | 61302282125312 | 65866859282432 | 67819228102656 | 67701842116608 | 72831589154816 | 80335291285504 | 84219208400896 | 88651883085824 | 93728928694272 | 93900274401280 | 96064703037440 | 97353444884480 | 99973861474304 | 100035073146880 | 84658150703104 | 85246351507456 | 90779700000000 | 97646000000000 | 110333600000000 | 121404100000000 | 126248600000000 | 134625556000000 | 147563682000000 | 153309625000000 | 169297177000000 | 195834416000000 | 196397600000000 | 202611458470000 | |
General government final consumption expenditure (% of GDP) | NE.CON.GOVT.ZS | 10.4368941748 | 10.8870975806 | 5.6777859735 | 6.4678088518 | 6.4957496281 | 5.1119106751 | 8.0179986848 | 6.7168398493 | 6.7963675819 | 6.6533261679 | 7.9922881676 | 8.4611236585 | 8.2647817859 | 9.6603299126 | 7.1558920097 | 9.0369824742 | 9.3721740024 | 9.9426921857 | 10.6509742353 | 9.5426661962 | 10.5247021773 | 11.0439171272 | 11.5388724559 | 10.4058341139 | 10.1478443257 | 11.2302666627 | 11.033027469 | 9.4246052948 | 8.5226568311 | 8.7411979586 | 8.8439923871 | 8.3148844676 | 8.7577006375 | 9.0233035012 | 8.1141814594 | 7.829063526 | 7.5669586926 | 6.8428097994 | 5.6935079723 | 6.6044571283 | 6.5319949727 | 6.8890593699 | 7.2574583384 | 8.1294864251 | 8.3218709605 | 8.1095097089 | 8.627168802 | 8.3464696793 | 8.4237809201 | 9.5891780884 | 9.0412812424 | 8.9865678887 | |
Household final consumption expenditure, etc. (current US$) | NE.CON.PETC.CD | 5425526496.99524 | 6444118308.50875 | 7418971318.18405 | 7502805828.03288 | 7307085093.29064 | 7950836442.37108 | 11525601393.5036 | 17422704225.4651 | 20675407822.6506 | 24980637266.6602 | 29533173676.106 | 33803003917.1187 | 31763123170.7936 | 40128740658.9232 | 52936227450.2796 | 56316729658.8493 | 51043266092.4209 | 52137554948.1869 | 51583141330.8552 | 48372784274.7202 | 44680841120.3022 | 53225538909.5895 | 56627339532.1965 | 67388772034.2125 | 74896278912.0296 | 80452729506.345 | 92453023989.0184 | 105574135911.075 | 124466958598.082 | 141781319329.969 | 133076696497.705 | 64694378080.4675 | 103522316310.273 | 100175290941.521 | 99959432117.8707 | 127262929983.869 | 138358916195.225 | 161677968436.147 | 179132365164.647 | 220785033748.864 | 270961252160.595 | 319947853513.028 | 305507538230.25 | 401490333199.738 | 481264696804.415 | ||||||||
Household final consumption expenditure, etc. (current LCU) | NE.CON.PETC.CN | 318018736 | 393873200 | 1227096256 | 2799782800 | 5877241120 | 21767000064 | 314132254720 | 811566489600 | 1909340651520 | 2418584649728 | 2738524127232 | 2874753515520 | 3299597123584 | 4783124578304 | 7230422253568 | 8580294246400 | 10366964465664 | 12256267075584 | 14942617468928 | 19790331445248 | 25160318713856 | 33442991570944 | 37249010368512 | 46411600625664 | 53490000068608 | 57287202832384 | 62041001033728 | 73448599584768 | 89722288340992 | 100233791930368 | 124184706940928 | 146071706664960 | 163312608215040 | 192958715396096 | 228119314169856 | 279876415258624 | 332094391189504 | 387170663661568 | 647823599075328 | 813183312855038 | 843653800000000 | 1.0256687E+15 | 1.1849695E+15 | 1.1867228E+15 | 1.445215045E+15 | 1.73843342136E+15 | 2.02223998187043E+15 | 2.476856806E+15 | 3.10306544895266E+15 | 3.17420499176E+15 | 3.64972110793E+15 | 4.22089993901E+15 | |
Household final consumption expenditure, etc. (constant 2000 US$) | NE.CON.PETC.KD | 9493193232.82151 | 10181712921.6262 | 11431739490.2368 | 11150008415.7651 | 10880788872.4374 | 11457430909.9325 | 11397068574.2219 | 12476175933.6403 | 13854769167.5179 | 14484309054.266 | 14510307260.9685 | 15082250875.3758 | 14830985344.3777 | 15643537625.5437 | 18566793478.0231 | 20444935565.136 | 20924529318.0656 | 21454681171.2905 | 24600805831.4669 | 26017594047.6906 | 26847385168.8781 | 37480284163.4539 | 38480381915.8817 | 41973319326.6241 | 44496399418.4658 | 47440785724.0692 | 48263664176.9867 | 48928754502.2399 | 44587068923.838 | 48646394912.8289 | 56676560752.7076 | 61171201567.355 | 63388574383.2945 | 70934263775.7393 | 76486598615.1554 | 86341712862.5659 | 94482820055.7465 | 101871836909.643 | 95588058098.0749 | 100016891107.641 | 100175290941.521 | 103893628055.434 | 110463192955.204 | 110392121242.621 | 120267540989.933 | 122927727748.765 | 129802318179.492 | 140710703383.274 | 144652472267.551 | 148576201164.531 | 155537408948.019 | 161296764995.912 | |
Household final consumption expenditure, etc. (annual % growth) | NE.CON.PETC.KD.ZG | 7.2527722961 | 12.2771735781 | -2.464463739 | -2.4145232298 | 5.2996344682 | -0.5268400585 | 9.4682887305 | 11.0498059759 | 4.5438496963 | 0.1794922119 | 3.9416368249 | -1.6659683828 | 5.4787477858 | 18.6866674435 | 10.1155974473 | 2.345782658 | 2.5336381295 | 14.6640476037 | 5.7591130385 | 3.1893461004 | 39.6049705686 | 2.6683302295 | 9.0771900819 | 6.0111521612 | 6.6171338447 | 1.7345379937 | 1.3780352913 | -8.873484769 | 9.1042674187 | 16.5072167306 | 7.9303344362 | 3.6248639215 | 11.9038635367 | 7.8274370436 | 12.8847594557 | 9.4289387172 | 7.8204872055 | -6.1683179593 | 4.6332492758 | 0.1583730829 | 3.7118306111 | 6.3233569014 | -0.0643397232 | 8.9457650022 | 2.2118908701 | 5.59238388 | 8.4038446746 | 2.8013283919 | 2.712521145 | 4.6852778096 | 3.7028751391 | ||
Household final consumption expenditure, etc. (constant LCU) | NE.CON.PETC.KN | 79949541146624 | 85748099317760 | 96275542310912 | 93902866481152 | 91635559956480 | 96491909677056 | 95983551643648 | 105071551447040 | 116681754017792 | 121983597543424 | 122202548600832 | 127019329257472 | 124903227392000 | 131746360197120 | 156365364396032 | 172182655205376 | 176221686071296 | 180686505902080 | 207182461140992 | 219114333274112 | 226102647717888 | 315650534801408 | 324073133441024 | 353489867767808 | 374738681593856 | 399535641722880 | 406465739227136 | 412066980560896 | 375502279802880 | 409689011519488 | 477317264572416 | 515170119974912 | 533844335788032 | 597392437018624 | 644152953929728 | 727150512570368 | 795713088782336 | 857941729083392 | 805021155328000 | 842319792177152 | 843653800000000 | 874968800000000 | 930296200000000 | 929697650000000 | 1.012866217E+15 | 1.03526971238E+15 | 1.09316596889012E+15 | 1.18503393895079E+15 | 1.21823063113593E+15 | 1.2512753946E+15 | 1.309901123E+15 | 1.35840512603E+15 | |
Household final consumption expenditure, etc. (% of GDP) | NE.CON.PETC.ZS | 77.1890135922 | 79.4099193548 | 87.0898651712 | 82.6870258169 | 78.0717470776 | 86.9984006446 | 94.2349615921 | 90.7151195359 | 86.2971024079 | 84.316481433 | 77.6950173371 | 74.1902485918 | 68.5116631546 | 67.1217738831 | 63.9888686413 | 64.3132949016 | 63.5176177138 | 61.0238162823 | 62.2544206854 | 57.6226655737 | 51.4383944682 | 57.2445193378 | 59.4590426611 | 59.7911951487 | 59.5093064705 | 59.0609184358 | 60.4201685542 | 58.845075828 | 59.9470251884 | 55.8151191541 | 58.892628181 | 58.4360206929 | 57.8312870781 | 58.5120354338 | 59.6827710893 | 61.5770577512 | 62.3571818038 | 61.6812991733 | 67.7814517537 | 73.9437972859 | 60.7045669934 | 62.3006131243 | 65.0426927072 | 58.9331972292 | 62.9496692048 | 62.6624816045 | 60.5603080899 | 62.6910594799 | 62.7048057966 | 56.619511734 | 56.7055244571 | 56.8311702929 | |
Household final consumption expenditure (current US$) | NE.CON.PRVT.CD | 5443813875.69584 | 6472398807.89767 | 7446625700.90798 | 7546000336.30685 | 7356336623.30606 | 8018337495.90361 | 11645735198.2265 | 17692481353.4072 | 20932072065.5422 | 25301446567.1711 | 29933011812.5494 | 34216718812.4885 | 31323146003.4676 | 40821066489.9205 | 51115928148.5454 | 57336641933.9274 | 51043377378.063 | 52699964677.5606 | 51505883696.8521 | 49397296636.6978 | 43792928115.1122 | 53225547618.1761 | 54592497560.4651 | 65010496805.1395 | 72195846707.3192 | 77581381847.9103 | 92453018462.5293 | 105574130572.958 | 124466948805.28 | 141781317763.127 | 133076708751.72 | 64694378918.189 | 103522319514.009 | 101736066358.855 | 101322506379.014 | 132310082163.391 | 159969307925.416 | 171486082324.544 | 183992152032.632 | 228472909678.286 | 274642139809.649 | 309316637556.116 | 316748309826.621 | 400797723705.874 | 462162292767.746 | ||||||||
Household final consumption expenditure (current LCU) | NE.CON.PRVT.CN | 324000000 | 399000000 | 1235000064 | 2832999936 | 5976999936 | 21813000192 | 315614003200 | 814301970432 | 1917719937024 | 2427599978496 | 2754290122752 | 2894130053120 | 3327610060800 | 4832980107264 | 7342379761664 | 8686809907200 | 10500100325376 | 12422199902208 | 15125500133376 | 19516199272448 | 25594400079872 | 32292999266304 | 37923600728064 | 46411701813248 | 54066998673408 | 57201402052608 | 63354999668736 | 71989003812864 | 89722303021056 | 96631999430656 | 119801997426688 | 140804999872512 | 157484002050048 | 192958703861760 | 228119302635520 | 279876393238528 | 332094387519488 | 387170699313152 | 647823607463936 | 813183338020864 | 856798300000000 | 1.039655E+15 | 1.2319645E+15 | 1.372078E+15 | 1.5328883E+15 | 1.7855964E+15 | 2.09265567E+15 | 2.5105038E+15 | 2.9999569E+15 | 3.2909959342E+15 | 3.6434249875E+15 | 4.0533635779E+15 | |
Household final consumption expenditure (constant 2000 US$) | NE.CON.PRVT.KD | 9571080278.26448 | 10273056760.7764 | 11414844291.5054 | 11113600368.1274 | 10916018579.0718 | 11472751335.0999 | 11412309314.4524 | 12492858971.2274 | 13873296911.3926 | 14503678470.286 | 14529710543.0867 | 15102419132.8875 | 14850817929.093 | 15664456913.585 | 18591621312.216 | 20472275466.9624 | 20952510683.6335 | 21483371732.7962 | 24633701765.5138 | 26052384491.1107 | 26883285225.0435 | 37530402004.4733 | 38531838463.8398 | 42029445411.8805 | 44555900160.7969 | 47504222902.2798 | 48328201007.3255 | 48994179819.6243 | 45330027369.3617 | 48711445711.0103 | 57091010077.6552 | 61641167387.7921 | 63549796931.7362 | 71029120724.542 | 76588882200.0706 | 86227102017.9231 | 94609168491.5845 | 102008058309.154 | 95715992264.1558 | 100150634305.617 | 101736066358.855 | 105290863134.049 | 109329631496.105 | 113585717456.306 | 119227710717.358 | 123941218043.163 | 127874235544.066 | 134276568484.46 | 141441767887.329 | 148314349429.272 | 155344054385.059 | 162659413337.588 | |
Household final consumption expenditure (annual % growth) | NE.CON.PRVT.KD.ZG | 7.3343495416 | 11.1143893908 | -2.6390541622 | -1.7778378069 | 5.1001448192 | -0.5268310877 | 9.4682822468 | 11.0498160857 | 4.5438482498 | 0.1794860032 | 3.9416379845 | -1.6659662375 | 5.4787486344 | 18.6866637942 | 10.1156005878 | 2.3457832885 | 2.5336393198 | 14.6640391085 | 5.7591130196 | 3.1893461968 | 39.6049689995 | 2.668333953 | 9.0771867824 | 6.0111541424 | 6.6171320315 | 1.7345365416 | 1.3780335258 | -7.4787504633 | 7.4595550408 | 17.2024546682 | 7.9700066682 | 3.0963552847 | 11.7692331902 | 7.827439533 | 12.5843589056 | 9.7209186874 | 7.8204786444 | -6.1682048941 | 4.6331254961 | 1.5830474407 | 3.4941362512 | 3.8358203569 | 3.8928933556 | 4.9671678688 | 3.9533656207 | 3.1732926003 | 5.0067419079 | 5.3361502187 | 4.8589477101 | 4.7397335341 | 4.7091335304 | ||
Household final consumption expenditure (constant LCU) | NE.CON.PRVT.KN | 80605488349184 | 86517376614400 | 96133254742016 | 93596246081536 | 91932256632832 | 96620934856704 | 96111905734656 | 105212052242432 | 116837790515200 | 122146722414592 | 122365958684672 | 127189181792256 | 125070252965888 | 131922537742336 | 156574458839040 | 172412905717760 | 176457338847232 | 180928131366912 | 207459503308800 | 219407330574336 | 226404989927424 | 316072616001536 | 324506488930304 | 353962549051392 | 375239783481344 | 400069895389184 | 407009253916672 | 412617977888768 | 381759308955648 | 410236854730752 | 480807663697920 | 519128066555904 | 535202115878912 | 598191300935680 | 645014363308032 | 726185285779456 | 796777166929920 | 859088955113472 | 806098588139520 | 843446147350528 | 856798300000000 | 886736000000000 | 920749600000000 | 956593400000000 | 1.004109E+15 | 1.0438051E+15 | 1.07692809E+15 | 1.1308471E+15 | 1.1911908E+15 | 1.2490701381E+15 | 1.3082727343E+15 | 1.3698810443E+15 | |
Household final consumption expenditure per capita (constant 2000 US$) | NE.CON.PRVT.PC.KD | 104.0938874209 | 109.0259772008 | 118.1878176911 | 112.2379219274 | 107.5058884051 | 110.1595324263 | 106.8170084464 | 113.972677716 | 123.3609500284 | 125.7045968209 | 122.7568177275 | 124.3962395496 | 119.2762590662 | 122.7022995238 | 142.0688709555 | 152.6575005117 | 152.5126963152 | 152.7021763923 | 171.035636759 | 176.7417496929 | 178.2474299308 | 243.2688228303 | 244.2458131802 | 260.6547001399 | 270.5162626519 | 282.5627314383 | 281.8425385582 | 280.3393865604 | 254.6533467787 | 268.8301098216 | 309.6949701596 | 328.8374258758 | 333.5729498723 | 367.0269106891 | 389.7882229679 | 432.4320733373 | 467.7670006411 | 497.4462750681 | 460.5288713493 | 475.5247390837 | 476.7490822886 | 486.9988858693 | 499.1619684512 | 512.0181624153 | 530.8292247181 | 545.2683097945 | 556.1719017999 | 577.6286670602 | 602.0049932903 | 624.7063787292 | 647.6151564166 | 671.2431036191 | |
Household final consumption expenditure per capita growth (annual %) | NE.CON.PRVT.PC.KD.ZG | 4.7381166196 | 8.4033555355 | -5.0342716195 | -4.2160737129 | 2.468370859 | -3.0342575955 | 6.6989980094 | 8.2373008168 | 1.8998287481 | -2.3450050102 | 1.3355036832 | -4.1158643557 | 2.8723574033 | 15.7833810016 | 7.4531665417 | -0.0948556055 | 0.1242388874 | 12.0060242754 | 3.3362128747 | 0.8519097726 | 36.47816573 | 0.4016093548 | 6.7181855632 | 3.78338181 | 4.4531403281 | -0.2548789348 | -0.5333304211 | -9.1624798416 | 5.5670829472 | 15.2009982681 | 6.1810676829 | 1.4400806063 | 10.0289789174 | 6.2015377118 | 10.9402613667 | 8.1712087245 | 6.3448841809 | -7.4213850961 | 3.2562274957 | 0.2574720313 | 2.1499367196 | 2.4975586053 | 2.5755555865 | 3.6739052799 | 2.7200998747 | 1.9996746207 | 3.8579376611 | 4.2200686393 | 3.7709629807 | 3.6671272245 | 3.6484549456 | ||
Household final consumption expenditure, PPP (current international $) | NE.CON.PRVT.PP.CD | 31850483085.1958 | 39495856363.3217 | 44975459941.5116 | 50819821862.4594 | 55912212887.396 | 58493715983.6268 | 62356886263.9436 | 67266190973.7991 | 80705860398.1894 | 85621944438.8598 | 103774473487.183 | 116192105366.11 | 124520624166.82 | 143200419977.593 | 160072615714.049 | 184498454353.692 | 208707504483.519 | 234405536189.067 | 251473400479.813 | 267716998357.789 | 281142685089.568 | 314599541662.357 | 338495888073.862 | 361729263479.948 | 390559377604.668 | 425869484520.085 | 455492364401.869 | 528187064587.24 | 597025791065.964 | 622646038845.635 | 666423822770.468 | 725920102254.797 | |||||||||||||||||||||
Household final consumption expenditure, PPP (constant 2005 international $) | NE.CON.PRVT.PP.KD | 92372585986.7585 | 128956720030.865 | 132397715976.068 | 144415703950.797 | 153096754521.154 | 163227368903.827 | 166058607263.365 | 168346950543.937 | 155756702200.138 | 167375459130.566 | 196168146613.136 | 211802760979.105 | 218360926961.758 | 244060333652.209 | 263164008692.851 | 296281512057.153 | 325082796930.019 | 350505827640.69 | 328885910026.063 | 344123606976.648 | 349571246929.8 | 361785742592.561 | 375663193755.304 | 390287361264.393 | 409673589669.161 | 425869484520.085 | 439383569359.356 | 461382370662.907 | 486002427044.156 | 509617030844.243 | 533771520150.671 | 558907533781.811 | |||||||||||||||||||||
Final consumption expenditure, etc. (current US$) | NE.CON.TETC.CD | 5827249966.74346 | 6951627779.20967 | 8004394656.19632 | 8274600317.54521 | 8140431142.54602 | 8909971357.3012 | 13184394143.7687 | 19371089821.3012 | 23580612701.7639 | 28666589095.1711 | 34345053250.6217 | 39586286772.1186 | 37023290827.9345 | 48339398253.3189 | 63148965992.7803 | 67245791607.7834 | 59926643624.2866 | 61028328887.8557 | 61391529818.3632 | 57205898620.88 | 51836907891.8182 | 60792603352.7226 | 65495739209.9562 | 77508642810.0987 | 85553300023.7644 | 92636115975.5917 | 106710461606.225 | 119927485806.924 | 140292003855.808 | 158986288440.513 | 147839980265.653 | 70128577966.0613 | 112768645616.928 | 110954455166.33 | 111012717597.893 | 141462917314.304 | 157444711364.611 | 183051602443.774 | 202314907848.756 | 252237148428.888 | 307036091127.885 | 362929736474.179 | 357248821433.04 | 465505031120.262 | 557365854812.571 | ||||||||
Final consumption expenditure, etc. (current LCU) | NE.CON.TETC.CN | 361018740 | 447873204 | 1307096264 | 3018782816 | 6366241152 | 23046000128 | 340860254208 | 871657488384 | 2059711643648 | 2609432657920 | 3020229115904 | 3202608529408 | 3697638113280 | 5471523569664 | 8039002275840 | 9785954271232 | 11896634474496 | 14253197099008 | 17499117584384 | 23067731492864 | 30308318838784 | 39894991372288 | 44477710336000 | 54488900567040 | 62611400163328 | 68180202487808 | 73370000687104 | 85212099772416 | 102478088503296 | 115931391983616 | 142833706598400 | 166856307507200 | 188043908612096 | 222715414839296 | 259133314957312 | 315460613570560 | 372393591177216 | 430122664460288 | 702239500926976 | 885814615605246 | 934433500000000 | 1.1390848E+15 | 1.3171883E+15 | 1.3504242E+15 | 1.636270745E+15 | 1.96341402136E+15 | 2.31031985187043E+15 | 2.806616909E+15 | 3.51993211795266E+15 | 3.71179381976E+15 | 4.23164245173E+15 | 4.88834007191E+15 | |
Final consumption expenditure, etc. (constant 2000 US$) | NE.CON.TETC.KD | 11109218692.6634 | 11684539952.3305 | 12650701882.2858 | 12375610555.1755 | 12316921603.1383 | 12504744975.6174 | 12852012926.385 | 13768553054.0527 | 15317756717.9923 | 15984206667.4801 | 16253466053.2762 | 16965943018.3388 | 16864442337.9279 | 18232851836.8786 | 20893167319.0526 | 23472172291.6851 | 24170819935.9609 | 25227689221.6334 | 29037647177.1845 | 30984017499.3348 | 32783785466.8283 | 44015596446.6198 | 45599318629.1325 | 48967569034.9698 | 51731628328.5265 | 55214083185.829 | 56266310823.9311 | 56918906551.0893 | 53168021031.3339 | 58110459316.9922 | 66608487294.9757 | 71628614409.7966 | 74442544521.0684 | 82021928689.0519 | 87836952891.2224 | 97860377662.2056 | 106322089230.229 | 113731664797.827 | 105641874703.965 | 110147396496.737 | 110954455166.33 | 115488095429.7 | 123564183528.145 | 124807620869.356 | 135258275620.607 | 138913140533.564 | 147324001572.315 | 158914658949.539 | 164754786702.161 | 171829542285.217 | 178857622429.208 | 185354810844.006 | |
Final consumption expenditure, etc. (annual % growth) | NE.CON.TETC.KD.ZG | 5.1787733736 | 8.2687203253 | -2.1745143445 | -0.4742307604 | 1.5249213929 | 2.7770894284 | 7.1314908639 | 11.2517536001 | 4.3508325779 | 1.6845339365 | 4.3835386417 | -0.5982613539 | 8.1141698701 | 14.5907810033 | 12.3437721684 | 2.9764933368 | 4.3725007611 | 15.102286706 | 6.7029202135 | 5.8086978796 | 34.2602625653 | 3.5980931996 | 7.3866244214 | 5.6446732971 | 6.7317712004 | 1.9057232818 | 1.1598338644 | -6.5898762767 | 9.2958853645 | 14.6239215416 | 7.5367679386 | 3.9284999919 | 10.1815221615 | 7.0895970079 | 11.4113985527 | 8.6467186927 | 6.9689898132 | -7.1130499217 | 4.2649013996 | 0.7327078944 | 4.0860371551 | 6.993004836 | 1.0063088718 | 8.3734107569 | 2.7021377407 | 6.0547627146 | 7.8674603279 | 3.6750088326 | 4.2941123136 | 4.0901465781 | 3.6326035908 | ||
Final consumption expenditure, etc. (constant LCU) | NE.CON.TETC.KN | 93559344594944 | 98404571021312 | 106541369786368 | 104224612417536 | 103730347245568 | 105312153501696 | 108236766183424 | 115955661275136 | 129002706567168 | 134615398350848 | 136883040419840 | 142883361390592 | 142028545458176 | 153552982900736 | 175957562359808 | 197677362970624 | 203561216507904 | 212461932249088 | 244548542398464 | 260940436078592 | 276097677656064 | 370689466957824 | 384027219460096 | 412393867837440 | 435672154374144 | 465000606990336 | 473862231818240 | 479358246453248 | 447769131089920 | 489393236213760 | 560961719107584 | 603240102100992 | 626938389463040 | 690770260525056 | 739743088246784 | 824158120312832 | 895420754558976 | 957822535729152 | 889692140601344 | 927636633157632 | 934433500000000 | 972614800000000 | 1.0406298E+15 | 1.05110175E+15 | 1.139114817E+15 | 1.16989526838E+15 | 1.24072965089012E+15 | 1.33834356395079E+15 | 1.38752780813593E+15 | 1.4471098106E+15 | 1.506298723E+15 | 1.5610165845E+15 | |
Final consumption expenditure, etc. (% of GDP) | NE.CON.TETC.ZS | 87.625907767 | 90.2970169355 | 92.7676511447 | 89.1548346687 | 84.5674967056 | 92.1103113197 | 102.2529602769 | 97.4319593852 | 93.0934699898 | 90.9698076009 | 85.6873055048 | 82.6513722502 | 76.7764449405 | 76.7821037956 | 71.144760651 | 73.3502773758 | 72.8897917162 | 70.966508468 | 72.9053949207 | 67.16533177 | 61.9630966455 | 68.2884364651 | 70.997915117 | 70.1970292626 | 69.6571507962 | 70.2911850986 | 71.4531960232 | 68.2696811228 | 68.4696820194 | 64.5563171127 | 67.7366205681 | 66.7509051606 | 66.5889877156 | 67.535338935 | 67.7969525486 | 69.4061212772 | 69.9241404964 | 68.5241089728 | 73.4749597261 | 80.5482544142 | 67.2365619661 | 69.1896724942 | 72.3001510456 | 67.0626836543 | 71.2715401653 | 70.7719913134 | 69.1874768919 | 71.0375291592 | 71.1285867167 | 66.2086898224 | 65.7468056995 | 65.8177381816 | |
Final consumption expenditure (current US$) | NE.CON.TOTL.CD | 5845537345.44407 | 6979908278.59859 | 8032049038.92025 | 8317794825.81918 | 8189682672.56143 | 8977472410.83373 | 13304527948.4916 | 19640866949.2434 | 23837276944.6554 | 28987398395.6819 | 34744891387.0651 | 40000001667.4884 | 36583313660.6085 | 49031724084.3162 | 61328666691.046 | 68265703882.8615 | 59926754909.9287 | 61590738617.2294 | 61314272184.3602 | 58230410982.8576 | 50948994886.6282 | 60792612061.3092 | 63460897238.2247 | 75130367581.0257 | 82852867819.054 | 89764768317.157 | 106710456079.736 | 119927480468.808 | 140291994063.005 | 158986286873.67 | 147839992519.668 | 70128578803.7829 | 112768648820.664 | 112515230583.664 | 112375791859.036 | 146510069493.826 | 179055103094.802 | 192859716332.171 | 207174694716.742 | 259925024358.31 | 310716978776.939 | 352298520517.267 | 368489593029.411 | 464812421626.399 | 538263450775.903 | ||||||||
Final consumption expenditure (current LCU) | NE.CON.TOTL.CN | 367000004 | 453000004 | 1315000072 | 3051999952 | 6465999968 | 23092000256 | 342342002688 | 874392969216 | 2068090929152 | 2618447986688 | 3035995111424 | 3221985067008 | 3725651050496 | 5521379098624 | 8150959783936 | 9892469932032 | 12029770334208 | 14419129925632 | 17682000248832 | 22793599320064 | 30742400204800 | 38744999067648 | 45152300695552 | 54489001754624 | 63188398768128 | 68094401708032 | 74683999322112 | 83752504000512 | 102478103183360 | 112329599483904 | 138450997084160 | 161589600714752 | 182215302447104 | 222715403304960 | 259133303422976 | 315460591550464 | 372393587507200 | 430122700111872 | 702239509315584 | 885814640771072 | 947578000000000 | 1.1530711E+15 | 1.3641833E+15 | 1.5357794E+15 | 1.723944E+15 | 2.010577E+15 | 2.38073554E+15 | 2.840263903E+15 | 3.416823569E+15 | 3.8285847622E+15 | 4.2253463313E+15 | 4.7208037108E+15 | |
Final consumption expenditure (constant 2000 US$) | NE.CON.TOTL.KD | 11141542887.2886 | 11737464695.2497 | 12611288716.4679 | 12315491258.5222 | 12318485420.0236 | 12504744975.6174 | 12852012926.385 | 13768553054.0527 | 15317756717.9923 | 15984206667.4801 | 16253466053.2762 | 16965943018.3388 | 16864442337.9279 | 18232851836.8786 | 20893167319.0526 | 23472172291.6851 | 24170819935.9609 | 25227689221.6334 | 29037647177.1845 | 30984017499.3348 | 32783785466.8283 | 44015596446.6198 | 45599318629.1325 | 48967569034.9698 | 51731628328.5265 | 55214083185.8289 | 56266310823.9311 | 56918906551.0893 | 53851685915.3621 | 58110459316.9922 | 66947307646.3776 | 72016966917.9322 | 74519034091.9317 | 82021928689.0519 | 87836952891.2224 | 97630199753.678 | 106322089230.229 | 113731664797.827 | 105641986262.877 | 110147396496.737 | 112515230583.664 | 116885330508.315 | 122430622069.046 | 128001217083.041 | 134218445348.032 | 139926630827.962 | 145395918936.889 | 152480524050.725 | 161544082321.938 | 171567690549.958 | 178664267866.248 | 186717459185.681 | |
Final consumption expenditure (constant LCU) | NE.CON.TOTL.KN | 93831571701760 | 98850291318784 | 106209440956416 | 103718301204480 | 103743517360128 | 105312153501696 | 108236766183424 | 115955661275136 | 129002706567168 | 134615398350848 | 136883040419840 | 142883361390592 | 142028545458176 | 153552982900736 | 175957562359808 | 197677362970624 | 203561216507904 | 212461932249088 | 244548542398464 | 260940436078592 | 276097677656064 | 370689466957824 | 384027219460096 | 412393867837440 | 435672154374144 | 465000606990336 | 473862231818240 | 479358246453248 | 453526803185664 | 489393236213760 | 563815188004864 | 606510719696896 | 627582567448576 | 690770260525056 | 739743088246784 | 822219613667328 | 895420754558976 | 957822535729152 | 889693080125440 | 927636633157632 | 947578000000000 | 984382000000000 | 1.0310832E+15 | 1.0779975E+15 | 1.1303576E+15 | 1.178430656E+15 | 1.224491772E+15 | 1.284156725E+15 | 1.360487977E+15 | 1.4449045541E+15 | 1.5046703343E+15 | 1.57249250277E+15 | |
Gross national expenditure deflator (base year varies by country) | NE.DAB.DEFL.ZS | 0.0004078868 | 0.0004718791 | 0.0011949443 | 0.0030066059 | 0.0067509739 | 0.0221584798 | 0.3041326397 | 0.765812255 | 1.6317471789 | 2.0300231631 | 2.350662245 | 2.4292511935 | 2.9872080026 | 4.0273835175 | 4.9642064878 | 5.3610225071 | 6.463612859 | 7.308335265 | 7.5408402621 | 9.086566146 | 10.8477335549 | 10.3780839647 | 10.9675565876 | 13.126689393 | 14.1683040632 | 14.3911063136 | 15.2766530435 | 17.9317981206 | 21.2354440881 | 22.9717819501 | 23.75551953 | 26.1650127696 | 27.7423090741 | 30.3394688536 | 32.3935554943 | 34.9409070069 | 37.854694666 | 41.4852674754 | 70.6681861162 | 83.5049231954 | 100 | 115.4327335289 | 125.4048007367 | 132.6594756811 | 144.0716493701 | 166.5248949646 | 188.7382282507 | 213.0526320899 | 259.9637856357 | 278.6968253259 | 305.6094702458 | 335.1089234284 | |
Gross national expenditure (current US$) | NE.DAB.TOTL.CD | 6384452328.11534 | 7716393627.6792 | 9199152322.74846 | 9803427716.5589 | 9950084901.16646 | 11444838775.0554 | 16757502455.3639 | 24686343042.159 | 31188202764.9542 | 38146492460.4145 | 45661872897.8506 | 52556991972.557 | 50708036427.0133 | 67115833922.3593 | 87834024710.3043 | 93535537185.8785 | 86664979605.2859 | 84537891623.8065 | 85809223028.9767 | 80860775611.2649 | 74762722955.0419 | 86402974679.6125 | 98533601625.1759 | 112601243775.685 | 125995382057.132 | 135035816021.763 | 153288389730.607 | 174865399210.874 | 204829000416.821 | 228769447533.894 | 216342963881.4 | 86139534086.6086 | 128683160949.982 | 147664529427.412 | 147176282422.093 | 183342251868.446 | 217542936642.034 | 244837222085.564 | 274014784270.641 | 344838854223.309 | 414745729023.083 | 504860608168.278 | 524438708958.858 | 696140333434.417 | 834873637780.346 | ||||||||
Gross national expenditure (current LCU) | NE.DAB.TOTL.CN | 399018740 | 506873204 | 1399096264 | 3341782816 | 7424241152 | 24994000128 | 358413254656 | 955005485056 | 2286305640448 | 2998923657216 | 3578251116544 | 3914562535424 | 4749608091648 | 6954363518976 | 10244832362496 | 12943104147456 | 15830794371072 | 18949677252608 | 23232817659904 | 31594149052416 | 42080956055552 | 55490024308736 | 61866273406976 | 78801000202240 | 86730799579136 | 95298003140608 | 103708801105920 | 122898700304384 | 145649490198528 | 174410392666112 | 207502704640000 | 245731306766336 | 274111909593088 | 319928213176320 | 377840411344896 | 460578510340096 | 535846688129024 | 629423866904576 | 862566804881408 | 1.01082551916953E+15 | 1.2435975E+15 | 1.5101537E+15 | 1.7071348E+15 | 1.86589466E+15 | 2.188563107E+15 | 2.65924283691E+15 | 3.15848817500001E+15 | 3.791190709E+15 | 4.89647138601735E+15 | 5.44888671976E+15 | 6.32821729173E+15 | 7.32220358191E+15 | |
Gross national expenditure (constant 2000 US$) | NE.DAB.TOTL.KD | 11615824394.1013 | 12754544054.7623 | 13902608268.3593 | 13197694150.8481 | 13058160099.1036 | 13393440447.1869 | 13993210788.5815 | 14807437200.4672 | 16637105197.3983 | 17541259048.682 | 18074942687.7165 | 19134061080.731 | 18879420394.6273 | 20503629497.4817 | 24504811380.191 | 28667324382.0684 | 29081962958.7409 | 30787874023.389 | 36582930176.4515 | 41286038738.5872 | 46062015191.2072 | 63488355861.1933 | 66979271266.6636 | 71280849424.2354 | 72686176954.4195 | 78629581558.317 | 80609039058.3626 | 81380395223.2491 | 81441162956.0758 | 90151720621.2025 | 103718344076.834 | 111515666547.048 | 117322590775.39 | 125210546892.755 | 138498838832.531 | 156518559360.993 | 168080429333.382 | 180154725244.799 | 144932285876.701 | 143734314489.136 | 147664529427.412 | 155341865499.801 | 161640430533.849 | 167011043961.791 | 180375227258.022 | 189616084843.304 | 198708171422.25 | 211292982235.18 | 223648872845.261 | 232151825466.21 | 245873045403.83 | 259449090382.099 | |
Gross national expenditure (constant LCU) | NE.DAB.TOTL.KN | 97825864024064 | 107415905239040 | 117084644179968 | 111148015812608 | 109972891369472 | 112796547153920 | 117847678255104 | 124704910213120 | 140113963122688 | 147728543776768 | 152223107514368 | 161142764732416 | 158998238068736 | 172676962320384 | 206374017433600 | 241429766995968 | 244921759956992 | 259288559779840 | 308093221076992 | 347701745025024 | 387923945979904 | 534684672983040 | 564084378435584 | 600311303503872 | 612146656313344 | 662200674942976 | 678871221403648 | 685367409770496 | 685879181967360 | 759237542150144 | 873492597702656 | 939159896195074 | 988064507756548 | 1.0544951024681E+15 | 1.16640611250995E+15 | 1.31816415140249E+15 | 1.41553562340556E+15 | 1.51722263157146E+15 | 1.22058715850343E+15 | 1.21049811255296E+15 | 1.2435975E+15 | 1.3082543E+15 | 1.3612994E+15 | 1.4065295E+15 | 1.51907965E+15 | 1.596904077E+15 | 1.673475588E+15 | 1.779462038E+15 | 1.88352057346924E+15 | 1.9551305306E+15 | 2.070687563E+15 | 2.1850219645E+15 | |
Gross national expenditure (% of GDP) | NE.DAB.TOTL.ZS | 96.8492087379 | 102.1921782258 | 99.2971043612 | 98.6941136938 | 98.6216943677 | 99.896082623 | 107.5185969575 | 106.7484153726 | 103.3349139832 | 104.5482079328 | 101.5190188657 | 101.0251369598 | 98.6191760702 | 97.5908546766 | 90.6662445575 | 97.014583658 | 96.9940958414 | 94.3502304691 | 96.7933233461 | 91.9913387995 | 86.0313751111 | 94.9825246004 | 98.7545535679 | 101.5178515175 | 96.4907408107 | 98.2486019967 | 100.9993897418 | 98.4631889438 | 97.3142105384 | 97.1203090385 | 98.4048674909 | 98.3048672118 | 97.0668750469 | 97.0137622819 | 98.8542459048 | 101.3342603519 | 100.615638918 | 100.2753707479 | 90.2499235176 | 91.9156555469 | 89.4822588977 | 91.7289388103 | 93.7042212532 | 92.6611825498 | 95.3279057647 | 95.8534007126 | 94.5876941863 | 95.957813008 | 98.9448312965 | 97.1938820485 | 98.3211784666 | 98.5878378298 | |
Exports of goods and services (current US$) | NE.EXP.GNFS.CD | 549939020.978352 | 850449461.653154 | 831624097.766871 | 1298928726.96986 | 1481077568.11673 | 2030161416.63614 | 3612714795.79759 | 8112644905.33012 | 7718352535.7494 | 9647266833.27229 | 12023764533.0506 | 12441087132.0365 | 16846773884.9321 | 26664131298.515 | 26854619167.2088 | 23966056268.6223 | 22488397277.543 | 22417491987.622 | 19389868435.5614 | 15601609327.9591 | 18173190917.4787 | 21110163794.2419 | 24640067227.7087 | 28982530241.0888 | 33063805666.8527 | 38801526291.7036 | 42274398287.0896 | 46896633859.5543 | 53185313144.4533 | 58717199880.0858 | 60106040385.3565 | 50555727069.5257 | 49720260523.8385 | 67621169359.8417 | 62625866713.1114 | 63956799298.5592 | 71553141756.8334 | 82744350707.5308 | 97387622312.8673 | 113143428508.797 | 127226102177.005 | 152095145102.519 | 130357767224.835 | 174323240916.275 | 222948755857.749 | ||||||||
Exports of goods and services (current LCU) | NE.EXP.GNFS.CN | 61981256 | 53126792 | 81903800 | 344217312 | 1033758784 | 1383000064 | 44558753792 | 82261524480 | 251981365248 | 271109455872 | 474108985344 | 582685556736 | 842516987904 | 1499276640256 | 3366747635712 | 3203116302336 | 4003615735808 | 4989862281216 | 5499582414848 | 10496550895616 | 16718143422464 | 16965674467328 | 15851628527616 | 20447800328192 | 22999000416256 | 21533999235072 | 20010000973824 | 29873999446016 | 35585402077184 | 43614398840832 | 53409298251776 | 64484999692288 | 78763995955200 | 88230900793344 | 101331901612032 | 119592500330496 | 137533300146176 | 174871304732672 | 506244808835072 | 390560099598336 | 569490300000000 | 642594600000000 | 595514000000000 | 613720800000000 | 739639307000000 | 945121766800000 | 1.036316461E+15 | 1.1629738E+15 | 1.4751191E+15 | 1.35440938E+15 | 1.5846738E+15 | 1.9553572E+15 | |
Exports of goods and services (constant 2000 US$) | NE.EXP.GNFS.KD | 9165347489.34449 | 9964659122.19444 | 9129828924.81414 | 8561428301.91071 | 9573886184.10261 | 9229739890.73525 | 9113495504.88737 | 9146725119.60727 | 10059701338.4752 | 11553774978.8688 | 13529198428.9873 | 15654036115.9711 | 18974059205.9154 | 22509895002.4004 | 23987291581.5771 | 23406195156.1132 | 27390332430.8345 | 29979905618.2141 | 30278789871.4002 | 30972220144.4371 | 32684515964.6487 | 26785635319.2049 | 24373048352.8954 | 24774873591.7256 | 26396509867.1821 | 24336747879.9224 | 28039336359.4651 | 32138994879.2326 | 32477251459.7065 | 34665712588.4406 | 35829013059.9903 | 42556868056.019 | 48391869271.8528 | 51347519043.2771 | 56452263592.518 | 60811041589.8699 | 65408368398.3635 | 70510204447.4101 | 78395483150.8973 | 53461815409.1799 | 67621169359.8417 | 68057312551.7023 | 67229102385.0236 | 71186462734.1372 | 80816802684.8184 | 94233454015.342 | 103096605730.726 | 111904127845.668 | 122572463895.097 | 110695022932.785 | 127594082026.48 | 144913423048.371 | |
Exports of goods and services (annual % growth) | NE.EXP.GNFS.KD.ZG | 8.7210183114 | -8.377910244 | -6.2257532708 | 11.8258057708 | -3.5946353106 | -1.2594546241 | 0.3646198619 | 9.9814546401 | 14.8520675726 | 17.0976451743 | 15.7055696842 | 21.2087353405 | 18.6351046875 | 6.5633206153 | -2.4225178715 | 17.0217211646 | 9.4543328159 | 0.9969486128 | 2.2901518719 | 5.5284891178 | -18.047936374 | -9.0070178943 | 1.6486458034 | 6.5454875863 | -7.803160333 | 15.2139821549 | 14.6210968306 | 1.0524802712 | 6.7384431575 | 3.3557667929 | 18.7776732358 | 13.7110682303 | 6.1077404446 | 9.941560263 | 7.7211748829 | 7.560019839 | 7.7999744895 | 11.1831737906 | -31.804980006 | 26.4849852971 | 0.6449802569 | -1.21693046 | 5.8863798693 | 13.5283305011 | 16.6013141881 | 9.4055256787 | 8.5429797155 | 9.5334606996 | -9.6901380497 | 15.2663224109 | 13.5737808108 | ||
Exports of goods and services (constant LCU) | NE.EXP.GNFS.KN | 77188497932288 | 83920120971264 | 76889368559616 | 72102426181632 | 80629119057920 | 77730796273664 | 76751812165632 | 77031664517120 | 84720545169408 | 97303297785856 | 113939870384128 | 131834776125440 | 159795264880640 | 189573279776768 | 202015581929472 | 197121718353920 | 230675227607040 | 252484031348736 | 255001167396864 | 260841081405440 | 275261652205568 | 225582604353536 | 205264338812928 | 208648420720640 | 222305477197824 | 204958624382976 | 236140992921600 | 270667396153344 | 273516117098496 | 291946845175808 | 301743900459008 | 358404384096256 | 407545453740032 | 432437272248320 | 475428284268544 | 512136933539840 | 550854587318272 | 593821104603136 | 660229150736384 | 450243401351168 | 569490300000000 | 573163400000000 | 566188400000000 | 599516400000000 | 680620960000000 | 793612984000000 | 868256457000000 | 942431430000000 | 1.03227776E+15 | 932248620000000 | 1.0745687E+15 | 1.2204283E+15 | |
Exports of goods and services (% of GDP) | NE.EXP.GNFS.ZS | 15.0439941748 | 10.7110467742 | 5.8129025039 | 10.1658977846 | 13.7321836344 | 5.5275781369 | 13.3669573534 | 9.1950125123 | 11.3888853015 | 9.4513935681 | 13.4510065001 | 15.0376670806 | 17.4937236018 | 21.0394076065 | 29.7955450809 | 24.0088460186 | 24.5298548695 | 24.8444683234 | 22.9125397849 | 30.5623603935 | 34.1789969325 | 29.0402214187 | 25.3032939009 | 26.34251789 | 25.5871109092 | 22.2007308707 | 19.4872360449 | 23.9342584151 | 23.7760208094 | 24.2866484571 | 25.3285128325 | 25.7972393315 | 27.8914366214 | 26.7547883649 | 26.5114276271 | 26.3121645768 | 25.8245523827 | 27.8592627914 | 52.9681353606 | 35.514128704 | 40.9773085458 | 39.0321334466 | 32.6876211623 | 30.477655734 | 32.2166931957 | 34.0672668843 | 31.0347163143 | 29.4357184851 | 29.8082841674 | 24.1591195221 | 24.6209932938 | 26.327380327 | |
Gross fixed capital formation, private sector (current LCU) | NE.GDI.FPRV.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross fixed capital formation, private sector (% of GDP) | NE.GDI.FPRV.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross fixed capital formation (current US$) | NE.GDI.FTOT.CD | 12306680111.7542 | 16826105434.4813 | 22373211622.2483 | 23921866482.7386 | 21471195767.3365 | 19340800124.4537 | 19846117695.748 | 20429063140.1514 | 19112267492.1143 | 22753931907.7841 | 26951628495.0177 | 32427649194.8223 | 34603553047.7365 | 35850673812.4788 | 41525223401.5516 | 48770378875.098 | 57465752585.2166 | 67306789766.6667 | 61073530891.1611 | 24271332737.5215 | 28194535639.3475 | 32758080951.3285 | 31564179607.9036 | 38015221098.6024 | 45794855762.0053 | 57656326319.6051 | 67580800945.4141 | 87974482744.1205 | 107824865988.404 | 141330551849.431 | 167889043632.591 | 227161241304.962 | 271168914876.878 | ||||||||||||||||||||
Gross fixed capital formation (current LCU) | NE.GDI.FTOT.CN | 7667800080384 | 10549799682048 | 14134500392960 | 15822400520192 | 19522899673088 | 19842499346432 | 22040700518400 | 26201500418048 | 31417700450304 | 38356301905920 | 47706001113088 | 59757998112768 | 67487999721472 | 72774001360896 | 86667297816576 | 105380596154368 | 129217496875008 | 157652696956928 | 177686102147072 | 243043408019456 | 221472303874048 | 275881200000000 | 323875300000000 | 353967000000000 | 392788560000000 | 515381230000000 | 655854250000000 | 805786123129580 | 985627100000000 | 1.37071697E+15 | 1.74435709E+15 | 2.06499412E+15 | 2.37826889E+15 | ||||||||||||||||||||
Gross fixed capital formation (constant 2000 US$) | NE.GDI.FTOT.KD | 9383696168.99972 | 11857489135.2885 | 13382832140.9559 | 14202542121.5727 | 14754037585.1276 | 13868875393.4602 | 14866946160.3074 | 16234890498.4393 | 17127675550.3762 | 19098859761.8554 | 21947841284.7155 | 25476509421.1325 | 28763086750.9658 | 29794323384.5835 | 31760632870.0521 | 36129532846.5048 | 41185813017.1656 | 47163685340.4891 | 51204667857.0217 | 34302954882.0148 | 28061377212.9923 | 32758080951.3285 | 34884889037.4167 | 36522536606.996 | 36741783727.0339 | 42136690132.4668 | 46724174149.5551 | 47937545040.5973 | 52407184183.5781 | 58636369066.5172 | 60567505821.6134 | 65704400121.6155 | 71498785240.7345 | ||||||||||||||||||||
Gross fixed capital formation (annual % growth) | NE.GDI.FTOT.KD.ZG | 26.3626711877 | 12.8639629205 | 6.1250860205 | 3.8830757116 | -5.9994573456 | 7.1964794443 | 9.2012463312 | 5.4991750762 | 11.5087666489 | 14.917024149 | 16.0775180148 | 12.9004224068 | 3.5852780425 | 6.599611141 | 13.7557081886 | 13.9948672797 | 14.514396792 | 8.5679956673 | -33.0081488317 | -18.1954519384 | 16.7372531387 | 6.4924684973 | 4.6944325029 | 0.6003063873 | 14.6833002053 | 10.8871484748 | 2.5968803368 | 9.3238799342 | 11.8861277895 | 3.2934112153 | 8.481270989 | 8.8188692209 | |||||||||||||||||||||
Gross fixed capital formation (constant LCU) | NE.GDI.FTOT.KN | 79027381469184 | 99861110194176 | 112707206381568 | 119610619723776 | 124255190646784 | 116800553484288 | 125206081306624 | 136726601269248 | 144245436448768 | 160846307131392 | 184839789608960 | 214557440081920 | 242236256157696 | 250921099460608 | 267480916295680 | 304274810601472 | 346857666510848 | 397201964531712 | 431234211643392 | 288891781251072 | 236326616039424 | 275881200000000 | 293792700000000 | 307584600000000 | 309431050000000 | 354865740000000 | 393500500000000 | 403719237109880 | 441361534049210 | 493822330000000 | 510085930000000 | 553347700000000 | 602146710000000 | ||||||||||||||||||||
Gross fixed capital formation (% of GDP) | NE.GDI.FTOT.ZS | 22.3260070677 | 21.5682783584 | 24.1940880007 | 25.2566384509 | 25.1509857123 | 22.0754042481 | 22.7231205439 | 25.5169814357 | 25.1710308405 | 25.6273690629 | 26.5650544114 | 28.3392830759 | 26.9985902013 | 25.7702954507 | 26.2806476006 | 27.5706860702 | 28.4298098508 | 29.6023604939 | 28.3076964609 | 25.4295074435 | 20.1387594694 | 19.8508544472 | 19.6726582042 | 19.4291640498 | 19.5060596088 | 22.4486162493 | 23.640511262 | 24.1309915286 | 24.946943643 | 27.6985912221 | 31.1147663689 | 32.0837047853 | 32.0215608621 | ||||||||||||||||||||
Changes in inventories (current US$) | NE.GDI.STKB.CD | 1378065487.32452 | 1950330234.55907 | 2311847095.27569 | 2367879095.35648 | 5267140213.66285 | 4168762611.4972 | 4571575514.86548 | 3225813850.23349 | 3813547571.1094 | 2856439419.10575 | 6086233920.20199 | 2664951770.76447 | 5838528985.63153 | 6549026233.69247 | 5052704722.83063 | 6167534528.85156 | 7071243975.79686 | 2476369326.71456 | 7429452724.58565 | -8260376616.97428 | -12280020306.2934 | 3951993309.7539 | 4599385216.29639 | 3864113455.5401 | 14303369515.4175 | 4129293322.18408 | 4119075476.47051 | 4627223050.30099 | -115228093.206432 | 600319844.668232 | -699156106.772513 | 3474061009.19282 | 6338868090.89631 | ||||||||||||||||||||
Changes in inventories (current LCU) | NE.GDI.STKB.CN | 858617479168 | 1222837534720 | 1460532543488 | 1566162550784 | 4789199962112 | 4276900069376 | 5077100134400 | 4137300000768 | 6268900081664 | 4815099789312 | 10772999569408 | 4910999928832 | 11386999537664 | 13293999620096 | 10545500520448 | 13326500233216 | 15900399894528 | 5800399994880 | 21615100297216 | -82716104065024 | -96461400309760 | 33282800000000 | 47193600000000 | 35979500000000 | 122681900000000 | 36911132000000 | 39974565550000 | 42382200000000 | -1053300000000 | 5822298064690 | -7264190000000 | 31580720000000 | 55594620000000 | ||||||||||||||||||||
Changes in inventories (constant LCU) | NE.GDI.STKB.KN | -5033145925632 | -5472287981568 | -5918180769792 | -5983521734656 | -6489123586048 | -6954533519360 | -7196379709440 | -7625609052160 | -8029766942720 | -19517436592128 | -19820149997568 | -17176887033856 | -15249829789696 | -24878944092160 | -16270445510656 | -22890172907520 | -24458819534848 | -9061490753536 | -5155843473408 | 9854222598144 | 14845748445184 | 33282800000000 | 41846800000000 | 13085000000000 | 45996700000000 | 25099093000000 | 33508308620000 | 29026700000000 | -243060000000 | 2170435333310 | -2065210000000 | 11041140000000 | 21858670000000 | ||||||||||||||||||||
Gross capital formation (current US$) | NE.GDI.TOTL.CD | 557202361.371879 | 764765848.469527 | 1194757666.55215 | 1528827399.0137 | 1809653758.62043 | 2534867417.75422 | 3573108311.59518 | 5315253220.85783 | 7607590063.19036 | 9479903365.24337 | 11316819647.2289 | 12970705200.4384 | 13684745599.0788 | 18776435669.0404 | 24685058717.524 | 26289745578.0951 | 26738335980.9993 | 23509562735.9509 | 24417693210.6135 | 23654876990.3849 | 22925815063.2237 | 25610371326.8899 | 33037862415.2197 | 35092600965.5867 | 40442082033.368 | 42399700046.1713 | 46577928124.3823 | 54937913403.9496 | 64536996561.0135 | 69783159093.3812 | 68502983615.7468 | 16010956120.5472 | 15914515333.0541 | 36710074261.0824 | 36163564824.2 | 41879334554.1425 | 60098225277.4228 | 61785619641.7892 | 71699876421.8846 | 92601705794.4214 | 107709637895.197 | 141930871694.099 | 167189887525.818 | 230635302314.155 | 277507782967.774 | ||||||||
Gross capital formation (current LCU) | NE.GDI.TOTL.CN | 38000000 | 59000000 | 92000000 | 323000000 | 1058000000 | 1948000000 | 17553000448 | 83347996672 | 226593996800 | 389490999296 | 558022000640 | 711954006016 | 1051969978368 | 1482839949312 | 2205830086656 | 3157149876224 | 3934159896576 | 4696480153600 | 5733700075520 | 8526417559552 | 11772637216768 | 15595032936448 | 17388563070976 | 24312099635200 | 24119399415808 | 27117800652800 | 30338800418816 | 37686600531968 | 43171401695232 | 58479000682496 | 64668998041600 | 78874999259136 | 86068000980992 | 97212798337024 | 118707096387584 | 145117896769536 | 163453096951808 | 199301202444288 | 160327303954432 | 125010903564288 | 309164000000000 | 371068900000000 | 389946500000000 | 515470460000000 | 552292362000000 | 695828815550000 | 848168323129580 | 984573800000000 | 1.37653926806469E+15 | 1.7370929E+15 | 2.09657484E+15 | 2.43386351E+15 | |
Gross capital formation (constant 2000 US$) | NE.GDI.TOTL.KD | 1481091470.09136 | 2124446981.77782 | 1934684277.14869 | 1476463020.33866 | 1680119416.2427 | 1749540310.67059 | 1967081682.30957 | 1606060982.999 | 1957825778.86589 | 2485459090.05614 | 3295435057.60824 | 4012841781.091 | 4776519306.2522 | 5591120486.35645 | 6664917840.7968 | 7636913704.18974 | 8095091632.31538 | 9386449283.56721 | 10798091844.9951 | 13474662058.2208 | 16758377702.7601 | 18836098682.6579 | 19899928447.5625 | 20755326323.2003 | 19768699309.3437 | 21113103721.0742 | 22985305296.1464 | 24244711777.8836 | 30230763759.9727 | 33951082137.96 | 37645869462.187 | 41248987235.0846 | 45475559953.7415 | 45375718712.1401 | 52943034596.4407 | 59857766706.3235 | 62813615690.0899 | 66779036965.2733 | 40710380810.062 | 31250416195.8986 | 36710074261.0824 | 39853770070.1006 | 38076247005.7044 | 42203423092.4345 | 45116951637.415 | 50702944309.7402 | 51384169849.9353 | 52378323285.6408 | 58894086143.1002 | 60322283180.9931 | 67015422974.6224 | 74094279538.0929 | |
Gross capital formation (annual % growth) | NE.GDI.TOTL.KD.ZG | 43.4379324085 | -8.9323342148 | -23.6845495786 | 13.7935317782 | 4.1319023967 | 12.4342017336 | -18.3531117471 | 21.902331206 | 26.9499623963 | 32.5885857785 | 21.7697120696 | 19.0308406566 | 17.0542842575 | 19.2054053756 | 14.5837636204 | 5.9995168974 | 15.9523537213 | 15.0391539844 | 24.7874369995 | 24.3695584375 | 12.3981033054 | 5.6478243336 | 4.2984972428 | -4.7536087773 | 6.8006720659 | 8.8674862768 | 5.479181005 | 24.6901346443 | 12.3063988972 | 10.8826791123 | 9.5710839579 | 10.2464884642 | -0.2195492297 | 16.6770160321 | 13.0607022484 | 4.93812106 | 6.3129963649 | -39.0371849309 | -23.2372294877 | 17.4706731295 | 8.5635779069 | -4.4601127102 | 10.8392407637 | 6.9035360914 | 12.3811393935 | 1.3435620938 | 1.9347465155 | 12.4398080136 | 2.4250262317 | 11.0956340521 | 10.5630260159 | ||
Gross capital formation (constant LCU) | NE.GDI.TOTL.KN | 12473419694080 | 17891615309824 | 16293476433920 | 12434439929856 | 14149588353024 | 14734235533312 | 16566320103424 | 13525884862464 | 16488368963584 | 20931978199040 | 27753413869568 | 33795252158464 | 40226772746240 | 47087160918016 | 56130441052160 | 64316371894272 | 68175043493888 | 79050567581696 | 90939104165888 | 113480577318912 | 141135292923904 | 158633392340992 | 167592727674880 | 174796696453120 | 166487545348096 | 177809817337856 | 193577078489088 | 204183517003776 | 254596702273536 | 285928388034560 | 317045056995328 | 347389705584640 | 382984951693312 | 382144111181824 | 445874345869312 | 504108666585088 | 529002162814976 | 562398050123776 | 342853683249152 | 263183986065408 | 309164000000000 | 335639500000000 | 320669600000000 | 355427750000000 | 379964833000000 | 427008808620000 | 432745937109880 | 441118474049210 | 495992765333310 | 508020720000000 | 564388840000000 | 624005380000000 | |
Gross capital formation (% of GDP) | NE.GDI.TOTL.ZS | 9.2233009709 | 11.8951612903 | 6.5294532165 | 9.5392790251 | 14.0541976621 | 7.7857713032 | 5.2656366807 | 9.3164559874 | 10.2414439934 | 13.5784003318 | 15.8317133609 | 18.3737647096 | 21.8427311297 | 20.808750881 | 19.5214839065 | 23.6643062822 | 24.1043041252 | 23.3837220011 | 23.8879284254 | 24.8260070295 | 24.0682784656 | 26.6940881354 | 27.7566384509 | 31.3208222549 | 26.8335900146 | 27.9574168982 | 29.5461937186 | 30.193507821 | 28.844528519 | 32.5639919258 | 30.6682469228 | 31.5539620512 | 30.4778873314 | 29.4784233469 | 31.0572933561 | 31.9281390747 | 30.6914984216 | 31.7512617751 | 16.7749637915 | 11.3674011328 | 22.2456969316 | 22.5392663161 | 21.4040702075 | 25.5984988955 | 24.0563655994 | 25.0814093991 | 25.4002172944 | 24.9202838487 | 27.8162445799 | 30.9851922261 | 32.5743727671 | 32.7700996482 | |
Imports of goods and services (current US$) | NE.IMP.GNFS.CD | 953550972.372637 | 1099479610.48454 | 1231818978.15951 | 1445616429.58904 | 1582044516.46771 | 1869915631.96145 | 3199036087.82651 | 5571276948.04819 | 6758602293.0506 | 8465084564.04819 | 9289493965.41687 | 10699920765.0679 | 12432189977.4918 | 15766759183.3048 | 22214765045.7942 | 22786429640.2415 | 23784175003.7312 | 19342944414.1525 | 17860217134.4638 | 16401727327.3338 | 17006296157.5087 | 18725515164.1951 | 21718471067.1013 | 27157275971.7786 | 30891187877.4656 | 34721072261.021 | 37555938138.7973 | 44869884826.9388 | 55882280717.1155 | 60116976064.6307 | 60700149620.052 | 41249713138.7794 | 38402068946.5996 | 50264686525.7451 | 49355201496.8912 | 51638440133.1563 | 54323619580.7712 | 70744689488.541 | 85533796566.9168 | 93411756735.0525 | 109755093425.227 | 146711204310.831 | 115216517130.994 | 162436733855.738 | 210990110712.888 | ||||||||
Imports of goods and services (current LCU) | NE.IMP.GNFS.CN | 48999996 | 63999996 | 72000000 | 300000000 | 929999936 | 1356999936 | 69621997568 | 142635008000 | 325767004160 | 401572986880 | 527649996800 | 622407974912 | 776014987264 | 1327599976448 | 2312079933440 | 2804819951616 | 3513010094080 | 3855139995648 | 4729899843584 | 7746000257024 | 9885600186368 | 14034400182272 | 15071399903232 | 21625999196160 | 19844699258880 | 19835199160320 | 21036200361984 | 27955799523328 | 31565599997952 | 38442998169600 | 50045701324800 | 60247699881984 | 70481000529920 | 78383002157056 | 96952603639808 | 125656901877760 | 140811995971584 | 176599794188288 | 413058111373312 | 301654008135680 | 423317900000000 | 506426300000000 | 480815400000000 | 465940900000000 | 632376140000000 | 830083444000000 | 855587836000000 | 1.003271309E+15 | 1.42290208880128E+15 | 1.1970927E+15 | 1.4766203E+15 | 1.8504747E+15 | |
Imports of goods and services (constant 2000 US$) | NE.IMP.GNFS.KD | 2332254340.35214 | 3143994831.22418 | 3083408879.65962 | 2259553041.18883 | 2459455903.04503 | 2259539345.34032 | 2162614323.41149 | 2774449960.30391 | 2968289794.52904 | 3592244514.25163 | 4022339727.53031 | 5276296755.65004 | 6015353129.42327 | 8062850608.84303 | 10655595256.7085 | 11897418261.0724 | 13890390326.4044 | 14508303184.8072 | 16343800881.9137 | 18157294579.7762 | 19925258296.8574 | 26659848662.1716 | 27035830083.8644 | 26304549465.8332 | 24328853094.806 | 25612902143.2579 | 26681190280.3782 | 27207941578.9239 | 22121287502.4669 | 24680799547.4273 | 30396851073.8078 | 35177293867.1372 | 38234386547.3932 | 39830491769.0893 | 47914177996.79 | 57946929889.6293 | 61924849747.1544 | 71037694823.7449 | 67279705391.8711 | 39913523473.2664 | 50264686525.7451 | 52365680577.3909 | 50140425315.7911 | 50924488021.542 | 64497541765.9161 | 75958076691.5379 | 82477305886.5028 | 89953261974.1096 | 98950897502.7884 | 84130571896.8383 | 98722450010.4245 | 111877633432.121 | |
Imports of goods and services (annual % growth) | NE.IMP.GNFS.KD.ZG | 34.8049728894 | -1.9270372509 | -26.7189941595 | 8.8470090417 | -8.1284871771 | -4.2895921299 | 28.2914817621 | 6.9866040836 | 21.020680692 | 11.9728824575 | 31.1748164765 | 14.0071039974 | 34.0378600452 | 32.1566747748 | 11.6541870674 | 16.7512986566 | 4.448491683 | 12.6513602158 | 11.0959115995 | 9.7369336016 | 33.799262549 | 1.4102909077 | -2.7048572793 | -7.5108542482 | 5.2778856588 | 4.1708984446 | 1.9742421272 | -18.6954755901 | 11.5703574879 | 23.1599122848 | 15.7267697951 | 8.6905283044 | 4.1745281298 | 20.2952207434 | 20.9390045124 | 6.8647637849 | 14.7159744655 | -5.2901342607 | -40.6752404149 | 25.9339746325 | 4.1798610453 | -4.2494535296 | 1.5637336557 | 26.6532944595 | 17.7689484155 | 8.5826675436 | 9.0642583523 | 10.0025672568 | -14.9774544547 | 17.3443229787 | 13.3254223536 | ||
Imports of goods and services (constant LCU) | NE.IMP.GNFS.KN | 19641722208256 | 26478018297856 | 25967777021952 | 19029448196096 | 20712985198592 | 19029332852736 | 18213052088320 | 23365794398208 | 24998269943808 | 30253076447232 | 33875241730048 | 44435786170368 | 50659952951296 | 67903516835840 | 89739029905408 | 100197384323072 | 116981747417088 | 122185670721536 | 137643820056576 | 152916656652288 | 167806049976320 | 224523257380864 | 227689688465408 | 221531007352832 | 204892136275968 | 215706108952576 | 224702991695872 | 229139172818944 | 186300514697216 | 207856150249472 | 255995452325888 | 296255267799040 | 322001415700480 | 335443455377408 | 403522445115392 | 488016028106752 | 521517175668736 | 598263510073344 | 566614567157760 | 336142729740288 | 423317900000000 | 441012000000000 | 422271400000000 | 428874600000000 | 543183810000000 | 639701861000000 | 694605345000000 | 757566168000000 | 833342233469240 | 708528780000000 | 831418300000000 | 942208300000000 | |
Imports of goods and services (% of GDP) | NE.IMP.GNFS.ZS | 11.8932029126 | 12.903225 | 5.1100068651 | 8.8600114784 | 12.3538780021 | 5.4236607599 | 20.885554311 | 15.9434278849 | 14.7237992847 | 13.9996015009 | 14.9700253657 | 16.0628040404 | 16.112899672 | 18.630262283 | 20.4617896384 | 21.0234296767 | 21.5239507109 | 19.1946987926 | 19.7058631311 | 22.5536991929 | 20.2103720436 | 24.0227460191 | 24.0578474688 | 27.8603694075 | 22.0778517199 | 20.4493328675 | 20.4866257867 | 22.3974473589 | 21.0902313478 | 21.4069574956 | 23.7333803234 | 24.1021065433 | 24.9583116683 | 23.7685506467 | 25.3656735319 | 27.6464249287 | 26.4401913007 | 28.1346335393 | 43.2180588782 | 27.4297842509 | 30.4595674435 | 30.7610722568 | 26.3918424154 | 23.1388382838 | 27.5445989604 | 29.9206675969 | 25.6224105006 | 25.3935314931 | 28.7531154639 | 21.3530015706 | 22.9421717604 | 24.9152181568 | |
External balance on goods and services (current US$) | NE.RSB.GNFS.CD | -403611951.394284 | -249030148.831383 | -400194880.392638 | -146687702.619178 | -100966948.35098 | 160245784.674699 | 413678707.971084 | 2541367957.28193 | 959750242.698795 | 1182182269.2241 | 2734270567.63373 | 1741166366.96861 | 4414583907.44036 | 10897372115.2102 | 4639854121.41466 | 1179626628.38081 | -1295777726.18824 | 3074547573.46947 | 1529651301.09763 | -800117999.374755 | 1166894759.96997 | 2384648630.04681 | 2921596160.60739 | 1825254269.31019 | 2172617789.38705 | 4080454030.68258 | 4718460148.29231 | 2026749032.61553 | -2696967572.66222 | -1399776184.54491 | -594109234.695425 | 9306013930.74636 | 11318191577.2389 | 17356482834.0966 | 13270665216.2202 | 12318359165.4029 | 17229522176.0623 | 11999661218.9899 | 11853825745.9506 | 19731671773.7447 | 17471008751.7777 | 5383940791.68872 | 15141250093.8408 | 11886507060.5362 | 11958645144.8617 | ||||||||
External balance on goods and services (current LCU) | NE.RSB.GNFS.CN | 12981260 | -10873204 | 9903800 | 44217312 | 103758848 | 26000128 | -25063243776 | -60373483520 | -73785638912 | -130463531008 | -53541011456 | -39722418176 | 66502000640 | 171676663808 | 1054667702272 | 398296350720 | 490605641728 | 1134722285568 | 769682571264 | 2750550638592 | 6832543236096 | 2931274285056 | 780228624384 | -1178198867968 | 3154301157376 | 1698800074752 | -1026199388160 | 1918199922688 | 4019802079232 | 5171400671232 | 3363596926976 | 4237299810304 | 8282995425280 | 9847898636288 | 4379297972224 | -6064401547264 | -3278695825408 | -1728489455616 | 93186697461760 | 88906091462656 | 146172400000000 | 136168300000000 | 114698600000000 | 147779900000000 | 107263167000000 | 115038322800000 | 180728625000000 | 159702491000000 | 52217011198719.8 | 157316680000000 | 108053500000000 | 104882500000000 | |
External balance on goods and services (constant LCU) | NE.RSB.GNFS.KN | 57546777821184 | 57442100576256 | 50921593634816 | 53072973791232 | 59916135956480 | 58701465518080 | 58538760077312 | 53665872216064 | 59722275225600 | 67050223435776 | 80064624459776 | 87398985760768 | 109135311929344 | 121669762940928 | 112276552024064 | 96924334030848 | 113693480189952 | 130298360627200 | 117357347340288 | 107924424753152 | 107455602229248 | 1059346972672 | -22425349652480 | -12882586632192 | 17413340921856 | -10747484569600 | 11438001225728 | 41528223334400 | 87215602401280 | 84090694926336 | 45748448133120 | 62149116297216 | 85544038039552 | 96993816870912 | 71905839153152 | 24120905433088 | 29337411649536 | -4442405470208 | 93614583578624 | 114100671610880 | 146172400000000 | 132151400000000 | 143917000000000 | 170641800000000 | 137437150000000 | 153911123000000 | 173651112000000 | 184865262000000 | 198935526530760 | 223719840000000 | 243150400000000 | 278220000000000 | |
External balance on goods and services (% of GDP) | NE.RSB.GNFS.ZS | 3.1507912621 | -2.1921782258 | 0.7028956388 | 1.3058863062 | 1.3783056323 | 0.103917377 | -7.5185969575 | -6.7484153726 | -3.3349139832 | -4.5482079328 | -1.5190188657 | -1.0251369598 | 1.3808239298 | 2.4091453234 | 9.3337554425 | 2.985416342 | 3.0059041586 | 5.6497695309 | 3.2066766539 | 8.0086612005 | 13.9686248889 | 5.0174753996 | 1.2454464321 | -1.5178515175 | 3.5092591893 | 1.7513980033 | -0.9993897418 | 1.5368110562 | 2.6857894616 | 2.8796909615 | 1.5951325091 | 1.6951327882 | 2.9331249531 | 2.9862377181 | 1.1457540952 | -1.3342603519 | -0.615638918 | -0.2753707479 | 9.7500764824 | 8.0843444531 | 10.5177411023 | 8.2710611897 | 6.2957787468 | 7.3388174502 | 4.6720942353 | 4.1465992874 | 5.4123058137 | 4.042186992 | 1.0551687035 | 2.8061179515 | 1.6788215334 | 1.4121621702 | |
Trade (% of GDP) | NE.TRD.GNFS.ZS | 26.9371970874 | 23.6142717742 | 10.922909369 | 19.025909263 | 26.0860616366 | 10.9512388967 | 34.2525116644 | 25.1384403972 | 26.1126845862 | 23.450995069 | 28.4210318658 | 31.100471121 | 33.6066232738 | 39.6696698895 | 50.2573347192 | 45.0322756953 | 46.0538055804 | 44.039167116 | 42.618402916 | 53.1160595864 | 54.389368976 | 53.0629674379 | 49.3611413697 | 54.2028872975 | 47.664962629 | 42.6500637382 | 39.9738618317 | 46.3317057739 | 44.8662521571 | 45.6936059527 | 49.0618931559 | 49.8993458749 | 52.8497482897 | 50.5233390116 | 51.8771011589 | 53.9585895055 | 52.2647436835 | 55.9938963306 | 96.1861942388 | 62.9439129549 | 71.4368759893 | 69.7932057034 | 59.0794635777 | 53.6164940178 | 59.761292156 | 63.9879344812 | 56.6571268149 | 54.8292499782 | 58.5613996313 | 45.5121210927 | 47.5631650541 | 51.2425984838 | |
Agriculture, value added (current US$) | NV.AGR.TOTL.CD | 3074808039.20171 | 3629764005.36475 | 4131993738.20859 | 4339972752.48219 | 4207971099.16243 | 4452048086.66988 | 6567806941.45542 | 8475132575.15181 | 9701445997.18554 | 11662072770.3133 | 14313421189.8602 | 15257776307.0335 | 15045099978.6525 | 18701255165.2139 | 21604564064.6732 | 22679236830.7227 | 19537535660.0882 | 19903407367.6426 | 20268688420.9348 | 19390904599.1565 | 17714511867.9801 | 19962389498.0352 | 21973265204.7456 | 22210643985.0462 | 23399237099.3863 | 25984273908.5368 | 28251352136.4376 | 30578039742.9559 | 34642103094.2018 | 37907951512.4799 | 34718567636.1803 | 17259285185.1806 | 27458003214.3933 | 25746530861.1025 | 24532763814.2172 | 30242187891.3354 | 35651016101.1337 | 36819570121.7321 | 37524881440.8549 | 47298660815.3839 | 59285800240.6739 | 73892290275.1514 | 82502574605.8206 | 108405041197.156 | 124676393792.781 | ||||||||
Agriculture, value added (current LCU) | NV.AGR.TOTL.CN | 212000000 | 227000000 | 793000000 | 1866999936 | 3972999936 | 14008999936 | 169371992064 | 459938988032 | 1075470008320 | 1347029958656 | 1584090054656 | 1655500046336 | 1847599955968 | 2725639880704 | 3517180018688 | 4026100088832 | 4839760199680 | 5940069793792 | 6744699830272 | 9373999955968 | 11725499793408 | 13648899604480 | 15000500436992 | 17764699865088 | 20419700588544 | 22509999095808 | 24869999738880 | 29119999901696 | 33650599002112 | 38893999095808 | 40929998143488 | 45635998842880 | 52745998434304 | 58963399802880 | 66071499374592 | 77896236400640 | 88791796678656 | 101009502240768 | 172827571388416 | 215686731268096 | 216831500000000 | 251727000000000 | 281590800000000 | 305783500000000 | 329124600000000 | 364169300000000 | 433223400000000 | 541931500000000 | 716656200000000 | 857196800000000 | 985448800000000 | 1.093466E+15 | |
Agriculture, value added (constant 2000 US$) | NV.AGR.TOTL.KD | 7200720850.13556 | 7324524846.33435 | 7534976748.74972 | 7262619611.03439 | 7629879516.39106 | 7691775289.10476 | 8009558817.18356 | 7927001736.4115 | 8805960455.74664 | 9024621898.77894 | 9495073797.3307 | 10072777636.6091 | 10229568706.5013 | 11182840601.8625 | 11599590829.361 | 11599590829.361 | 12148400910.5447 | 12301147969.8928 | 12936597490.7686 | 13797357166.5934 | 14751873143.031 | 15460547144.4834 | 15625971081.2195 | 15918400854.5223 | 16653323074.1666 | 17361295848.175 | 17810244766.5231 | 18192035220.1108 | 19083010427.9199 | 20569638507.0284 | 21152946189.4893 | 21193661207.9627 | 22451776793.7233 | 22928995935.5353 | 23056465936.8591 | 24065191575.8223 | 24820644619.4409 | 25069520598.3958 | 24735716413.7673 | 25270731040.2623 | 25746530861.1025 | 26584833911.5328 | 27501742715.4171 | 28543542050.2422 | 29348158616.9039 | 30145864526.6908 | 31157658311.8214 | 32238962381.0486 | 33795617527.0162 | 35133185851.688 | 36184377505.3926 | 37251979000.6793 | |
Agriculture, value added (annual % growth) | NV.AGR.TOTL.KD.ZG | 1.7193278114 | 2.8732498944 | -3.6145717073 | 5.0568517288 | 0.8112287039 | 4.1314718142 | -1.0307319374 | 11.0881610546 | 2.4831072559 | 5.2129818161 | 6.0842480175 | 1.5565822611 | 9.3187887262 | 3.7266938011 | 0 | 4.7312882778 | 1.257342925 | 5.165774141 | 6.6536790407 | 6.9181073224 | 4.8039594334 | 1.06997466 | 1.871434241 | 4.6168093539 | 4.2512402531 | 2.5859182533 | 2.1436564101 | 4.8976114933 | 7.7903226261 | 2.8357702167 | 0.1924791852 | 5.9362824262 | 2.1255295124 | 0.5559336383 | 4.3750227885 | 3.1391939733 | 1.0026974834 | -1.3315140324 | 2.1629235133 | 1.8828098803 | 3.2559844856 | 3.4489920341 | 3.7881211587 | 2.8189093184 | 2.7180782283 | 3.3563269822 | 3.470427907 | 4.8284902211 | 3.957815902 | 2.9920191643 | 2.9504486988 | ||
Agriculture, value added (constant LCU) | NV.AGR.TOTL.KN | 60642853650432 | 61685503098880 | 63457881751552 | 61164151111680 | 64257131544576 | 64778403840000 | 67454705336320 | 66759428145152 | 74161821057024 | 76003338616832 | 79965378838528 | 84830670815232 | 86151129989120 | 94179371778048 | 97689148588032 | 97689148588032 | 102311103823872 | 103597505249280 | 108949118386176 | 116198243041280 | 124236962201600 | 130205255467008 | 131598418706432 | 134061196574720 | 140250546438144 | 146212934123520 | 149993881075712 | 153209234522112 | 160712827600896 | 173232875372544 | 178145361657856 | 178488254398464 | 189083821277184 | 193102853701632 | 194176377421824 | 202671638183936 | 209033894035456 | 211129871630336 | 208318647762944 | 212824420777984 | 216831500000000 | 223891500000000 | 231613500000000 | 240387300000000 | 247163600000000 | 253881700000000 | 262402800000000 | 271509300000000 | 284619100000000 | 295883800000000 | 304736700000000 | 313727800000000 | |
Agriculture, value added (% of GDP) | NV.AGR.TOTL.ZS | 51.4563106796 | 45.7661290323 | 56.2810478339 | 55.1388028772 | 52.7763009564 | 55.9912062057 | 50.809055508 | 51.410969789 | 48.6083745039 | 46.960037769 | 44.9424210056 | 42.7243446502 | 38.3629094967 | 38.2490108222 | 31.1268640075 | 30.177492156 | 29.6528496078 | 29.5755408694 | 28.0999886067 | 27.2938766107 | 23.9719095203 | 23.3628829434 | 23.944673606 | 22.8859298553 | 22.7175587736 | 23.2069494557 | 24.2202664549 | 23.3301739177 | 22.4833020121 | 21.6580970559 | 19.4104026292 | 18.2566920974 | 18.6780984703 | 17.879827462 | 17.28626174 | 17.1383538803 | 16.6723869932 | 16.0921214127 | 18.0828603782 | 19.6126699626 | 15.6019712328 | 15.2902652094 | 15.456451726 | 15.1853485203 | 14.3357798335 | 13.1266183575 | 12.9738027192 | 13.7166831035 | 14.4817402608 | 15.2901480534 | 15.3108660572 | 14.7226784225 | |
Manufacturing, value added (current US$) | NV.IND.MANF.CD | 482360973.3713 | 701497181.56564 | 894953987.141104 | 994136950.531507 | 908123585.536978 | 1256298826.64096 | 1822756558.03374 | 2495783168.61687 | 3151951867.06506 | 4074554094.11084 | 5095301139.73976 | 6370998985.58756 | 6424582060.11141 | 10133176289.6837 | 11185892940.1209 | 11312479761.0724 | 10883905318.1531 | 12781352523.5817 | 13959732929.8284 | 13398358765.1415 | 12866381414.5236 | 17490895110.1996 | 20022484777.8491 | 23642696918.8477 | 27369354808.2949 | 30550957835.0855 | 35243317469.1456 | 41300843189.5666 | 48780906154.222 | 58244461019.5995 | 57805514905.4836 | 23857255361.7457 | 36393181440.3307 | 45785820936.1938 | 46615184727.2942 | 56190403265.5596 | 66329892801.8086 | 72083391952.8323 | 78349458987.1092 | 100393878671.179 | 116907767202.713 | 141920811741.003 | 142208857798.986 | 175544920850.858 | 205632519107.76 | ||||||||
Manufacturing, value added (current LCU) | NV.IND.MANF.CN | 38000000 | 54000000 | 125000000 | 252000000 | 629000000 | 2091000064 | 30840000512 | 72152997888 | 207847997440 | 291754999808 | 362859986944 | 357273993216 | 521364013056 | 756443971584 | 1035750014976 | 1308060024832 | 1690939949056 | 2114549972992 | 2816300023808 | 4002900082688 | 6353400102912 | 7066799833088 | 7482300170240 | 9896299855872 | 13112900059136 | 15503399583744 | 17184199802880 | 21150400774144 | 29484401033216 | 35441000579072 | 43568999694336 | 53378998599680 | 62016001671168 | 73556331331584 | 89240796921856 | 109688750342144 | 136426003890176 | 168178202181632 | 238897002971136 | 285873895636992 | 385597900000000 | 478311400000000 | 523199600000000 | 568920300000000 | 644342600000000 | 760361300000000 | 919539300000000 | 1.0686539E+15 | 1.3764417E+15 | 1.4775415E+15 | 1.5957794E+15 | 1.8034863E+15 | |
Manufacturing, value added (constant 2000 US$) | NV.IND.MANF.KD | 1311178656.74978 | 1470769407.09443 | 1488022440.99531 | 1462137536.3123 | 1440573173.80577 | 1427631219.49513 | 1453514381.07014 | 1505276221.94246 | 1634661151.9045 | 1871887442.11024 | 2048721265.73867 | 2113422321.75194 | 2432580664.00648 | 2803513546.92016 | 3256387446.43803 | 3657503489.33042 | 4011179852.12724 | 4563277434.98606 | 5331004947.06166 | 6212469259.62926 | 7624025661.71917 | 8223152796.26432 | 8321976062.7977 | 10329039413.1464 | 12607320406.6137 | 14018179067.4755 | 15320402257.895 | 16945609414.5832 | 18977921933.2282 | 21521650384.326 | 24169027024.8823 | 26561684788.4905 | 29176994218.3429 | 32078613618.3495 | 36044030909.286 | 39963824589.6404 | 44596443856.6561 | 46938352276.1207 | 41570245026.4092 | 43200351810.6507 | 45785820936.1938 | 47296891869.5467 | 49798027203.0119 | 52453892381.3802 | 55802058141.2257 | 58367906670.5102 | 61044171348.0377 | 63892062545.2666 | 66228838235.3316 | 67693861870.8153 | 70903683879.378 | 75310355665.1528 | |
Manufacturing, value added (annual % growth) | NV.IND.MANF.KD.ZG | 12.1715488216 | 1.1730617878 | -1.7395506929 | -1.4748518502 | -0.8983892346 | 1.8130145392 | 3.5611509282 | 8.5954277412 | 14.5122608395 | 9.4468192718 | 3.1581190226 | 15.1014938647 | 15.248533724 | 16.1537974381 | 12.3178230321 | 9.6698844944 | 13.7639697848 | 16.8240376136 | 16.5346744436 | 22.7213422409 | 7.858409207 | 1.2017685793 | 24.1176294573 | 22.0570461815 | 11.1907892824 | 9.2895317156 | 10.6081232681 | 11.9931509627 | 13.4036195325 | 12.3009926901 | 9.8996859127 | 9.8461729769 | 9.9448880111 | 12.36156069 | 10.8750147569 | 11.5920318302 | 5.2513344494 | -11.4365055214 | 3.9213307095 | 5.984833496 | 3.3003032434 | 5.2881600346 | 5.3332738816 | 6.383064455 | 4.5981252569 | 4.5851647424 | 4.6652958576 | 3.6573802707 | 2.2120630144 | 4.7416736464 | 6.2150110469 | ||
Manufacturing, value added (constant LCU) | NV.IND.MANF.KN | 11042452144128 | 12386489597952 | 12531790774272 | 12313793921024 | 12132183703552 | 12023189471232 | 12241171644416 | 12677098242048 | 13766749061120 | 15764615593984 | 17253870338048 | 17798768099328 | 20486647971840 | 23610561396736 | 27424563658752 | 30802672877568 | 33781255766016 | 38430897602560 | 44896526270464 | 52320020725760 | 64207831695360 | 69253545852928 | 70085813207040 | 86988849938432 | 106176020742144 | 118057955491840 | 129024986710016 | 142712116346880 | 159827795902464 | 181250505572352 | 203546117013504 | 223696543285248 | 245722091880448 | 270158878736384 | 303554732490752 | 336566354444288 | 375581233381376 | 395304260075520 | 350095266545664 | 363823659745280 | 385597900000000 | 398323800000000 | 419387800000000 | 441754900000000 | 469952400000000 | 491561400000000 | 514100300000000 | 538084600000000 | 557764400000000 | 570102500000000 | 597134900000000 | 634246900000000 | |
Manufacturing, value added (% of GDP) | NV.IND.MANF.ZS | 9.2233009709 | 10.8870967742 | 8.8715396964 | 7.4424096419 | 8.3554729012 | 8.357314319 | 9.2515372748 | 8.065103614 | 9.3941748457 | 10.1711366716 | 10.2947469757 | 9.2203544509 | 10.8254172572 | 10.6152077757 | 9.1663348736 | 9.8045180865 | 10.3602628925 | 10.5283205952 | 11.7333610944 | 11.6550737631 | 12.9890525007 | 12.0962731113 | 11.9436838892 | 12.7492176084 | 14.5885135041 | 15.9834129268 | 16.7352594455 | 16.9451418323 | 19.6996996408 | 19.7352971704 | 20.6619072704 | 21.3542809758 | 21.9607367446 | 22.3049301319 | 23.3480364164 | 24.1331893158 | 25.6166359717 | 26.7929649036 | 24.9956712045 | 25.9948784661 | 27.7454490848 | 29.0533322157 | 28.7183010258 | 28.2528424057 | 28.065825681 | 27.4075068902 | 27.5375740802 | 27.0484127488 | 27.8142729854 | 26.3554743673 | 24.7935404155 | 24.2825555017 | |
Industry, value added (current US$) | NV.IND.TOTL.CD | 761517044.092417 | 1188111745.98748 | 1577757664.58896 | 1804520495.69315 | 2047770689.66265 | 2928554275.16145 | 4556530039.05542 | 9306771001.98554 | 10760939722.3325 | 13398602053.706 | 16577855428.7807 | 19404366566.4737 | 20774403726.6889 | 32543900683.2574 | 38109882225.7458 | 35899883107.4769 | 33999955779.2856 | 34272473768.5174 | 31309946417.2066 | 27014719404.5552 | 27527573488.8681 | 33087620734.1035 | 38903200783.9212 | 44761531613.1549 | 51782272683.6512 | 55151433993.8052 | 62697845958.7885 | 71892581753.5874 | 84492896438.9454 | 98804892528.9185 | 95639212934.1565 | 43168320269.2947 | 60704690922.7888 | 75786549794.5361 | 74535377587.1767 | 86996428776.6947 | 102711934076.164 | 114620174270.013 | 133046275218.22 | 171142379024.09 | 202273722787.441 | 245227330373.474 | 257121301951.696 | 332649235643.332 | 399292414285.877 | ||||||||
Industry, value added (current LCU) | NV.IND.TOTL.CN | 62000004 | 81000000 | 167000000 | 430000032 | 1321000064 | 3150000064 | 39799000832 | 113909998336 | 352027996160 | 514348998656 | 658649980928 | 805633972224 | 1215350024192 | 1890959966208 | 3862309965824 | 4465789984768 | 5560419852288 | 6879810002944 | 8577700003840 | 12943699935232 | 20404699971584 | 24076299567104 | 23744900071424 | 30914800123904 | 35161499729920 | 34772198916096 | 34648000102400 | 45251201007616 | 55775800655872 | 68861001859072 | 82487000694784 | 100991999279104 | 111953001316352 | 130856680423424 | 155341896024064 | 189990735183872 | 231430704594944 | 278250802118656 | 432270274985984 | 476844446973952 | 638257300000000 | 764796300000000 | 810040400000000 | 880973900000000 | 1.0245725E+15 | 1.2911798E+15 | 1.5675472E+15 | 1.8489841E+15 | 2.3783765E+15 | 2.6714749E+15 | 3.0239257E+15 | 3.5019675E+15 | |
Industry, value added (constant 2000 US$) | NV.IND.TOTL.KD | 4138656825.88305 | 4386598996.98446 | 4489860216.46843 | 4291635469.57879 | 4412945825.28565 | 4524157609.34185 | 4517570653.25112 | 4741130727.77506 | 5981376468.42059 | 7172853533.63348 | 8283499693.01839 | 8649353657.27085 | 10465838528.4496 | 12633738951.3581 | 13713021617.6375 | 14066486068.3054 | 15790275444.5931 | 17949233225.4658 | 18898786822.4622 | 19983739071.9971 | 22012443855.1271 | 23344730180.0892 | 21999967186.1429 | 25452432617.4693 | 28198186288.9127 | 28726529294.0716 | 30754753975.4572 | 32696518508.2587 | 34943374750.8254 | 40582837100.1716 | 44750992791.6383 | 49182399624.6641 | 57912239052.3803 | 57081623192.0966 | 63456509776.1891 | 70068741928.8772 | 77558719597.7372 | 81569629019.1101 | 70189544293.1118 | 71570946421.0126 | 75786549794.5361 | 77858511962.9198 | 81177396485.9046 | 84225672984.5367 | 87545068088.6996 | 91663154643.0628 | 95777500893.4475 | 100298198517.654 | 104047502973.713 | 107781026909.177 | 113021584624.493 | 119029177756.973 | |
Industry, value added (annual % growth) | NV.IND.TOTL.KD.ZG | 5.9908850029 | 2.3540154811 | -4.4149425 | 2.8266696127 | 2.5201257495 | -0.1455951949 | 4.9486790951 | 26.1592816536 | 19.9197805305 | 15.4840211664 | 4.4166593567 | 21.0013943603 | 20.7140633502 | 8.5428602762 | 2.5775825381 | 12.2545841791 | 13.6727050041 | 5.2902181674 | 5.7408565943 | 10.151777782 | 6.0524235007 | -5.7604563581 | 15.6930480946 | 10.7877848562 | 1.8736772633 | 7.0604585073 | 6.3137053034 | 6.8718516377 | 16.1388600545 | 10.2707350922 | 9.9023654149 | 17.7499257749 | -1.4342665279 | 11.168019106 | 10.4201005949 | 10.6894707435 | 5.1714487322 | -13.9513748718 | 1.9681024315 | 5.8901042732 | 2.7339444453 | 4.2627125016 | 3.7550803926 | 3.9410728185 | 4.7039617928 | 4.4885496974 | 4.7199995636 | 3.7381573263 | 3.5882878769 | 4.8622265584 | 5.3154387743 | ||
Industry, value added (constant LCU) | NV.IND.TOTL.KN | 34854838206464 | 36942951481344 | 37812594278400 | 36143189983232 | 37164838551552 | 38101439217664 | 38045965352960 | 39928738086912 | 50373809143808 | 60408161370112 | 69761773862912 | 72842913775616 | 88140941361152 | 106398511792128 | 115487987990528 | 118464786202624 | 132982153150464 | 151164410658816 | 159161337774080 | 168298561929216 | 185383857946624 | 196604074131456 | 185278782242816 | 214354670649344 | 237478791348224 | 241928377466880 | 259009630175232 | 275362734931968 | 294285253541888 | 341779538771968 | 376882809798656 | 414203122810880 | 487723869667328 | 480728609456128 | 534416472408064 | 590103206428672 | 653182116036608 | 686961094295552 | 591120576806912 | 602754435252224 | 638257300000000 | 655706900000000 | 683657800000000 | 709329700000000 | 737284900000000 | 771966500000000 | 806616600000000 | 844688900000000 | 876264700000000 | 907707600000000 | 951842400000000 | 1.002437E+15 | |
Industry, value added (% of GDP) | NV.IND.TOTL.ZS | 15.0485446602 | 16.3306451613 | 11.8523770344 | 12.6993507308 | 17.5478223167 | 12.5899281845 | 11.9391029048 | 12.7326094015 | 15.9107260461 | 17.9311887224 | 18.6866426257 | 20.7914119769 | 25.2350963932 | 26.5359150062 | 34.1812464594 | 33.4731723658 | 34.0682775248 | 34.2544968291 | 35.7366937662 | 37.6876200744 | 41.7158867533 | 41.2115104365 | 37.9029942638 | 39.8269575337 | 39.1182737092 | 35.8488092014 | 33.7428147737 | 36.2540656957 | 37.2660281926 | 38.3452022498 | 39.118152157 | 40.4018731241 | 39.6441293121 | 39.6804606932 | 40.6420423221 | 41.8008443541 | 43.4556165484 | 44.3289551135 | 45.2282177283 | 43.3600746186 | 45.9253938368 | 46.4548429773 | 44.4629239973 | 43.7495669608 | 44.627614537 | 46.5410578694 | 46.9435587411 | 46.7991415207 | 48.060744769 | 47.6521222921 | 46.9825741932 | 47.1512981185 | |
Chemicals (% of value added in manufacturing) | NV.MNF.CHEM.ZS.UN | 8.9482742357 | 11.1961664136 | 9.2178241736 | 8.8291039231 | 9.0596208119 | 8.4813501108 | 9.4307092489 | 13.4805179501 | 11.392867279 | 10.5325953975 | 10.9541382 | 8.8849536781 | 11.7260799816 | 9.4849294626 | 10.9463498291 | 11.3235342336 | 6.4853290487 | ||||||||||||||||||||||||||||||||||||
Food, beverages and tobacco (% of value added in manufacturing) | NV.MNF.FBTO.ZS.UN | 27.4790062856 | 25.9730896438 | 25.0948206761 | 23.3266399671 | 20.2324150453 | 19.0010613704 | 16.180186437 | 21.3191494018 | 19.6876836216 | 18.0031023121 | 20.917740539 | 19.4532948077 | 25.0280972895 | 24.7774198767 | 24.9601149527 | 25.5356225702 | 25.64041344 | ||||||||||||||||||||||||||||||||||||
Machinery and transport equipment (% of value added in manufacturing) | NV.MNF.MTRN.ZS.UN | 8.8368586672 | 8.4237563156 | 9.2106034383 | 10.4614413912 | 12.6778610348 | 12.9576424921 | 12.4504532385 | 14.3742280624 | 14.0190608003 | 20.2294526092 | 18.7422682528 | 17.2934337895 | 17.4389969812 | 18.5579847756 | 20.0773146915 | 17.9489320646 | 17.8015281068 | ||||||||||||||||||||||||||||||||||||
Other manufacturing (% of value added in manufacturing) | NV.MNF.OTHR.ZS.UN | 40.1250902397 | 39.4295098328 | 39.8812695527 | 37.1845316589 | 36.6912160278 | 40.7235679504 | 43.8914238705 | 33.2801871348 | 35.322213579 | 34.5077112044 | 36.8041781644 | 39.9945503046 | 32.2436413824 | 34.4978850219 | 32.4825825414 | 32.1114987509 | 38.4142173078 | ||||||||||||||||||||||||||||||||||||
Textiles and clothing (% of value added in manufacturing) | NV.MNF.TXTL.ZS.UN | 14.6107705718 | 14.9774777942 | 16.5954821593 | 20.1982830596 | 21.3388870802 | 18.8363780763 | 18.0472272052 | 17.5459174508 | 19.5781747202 | 16.7271384769 | 12.5816748437 | 14.3737674201 | 13.5631843653 | 12.6817808633 | 11.5336379854 | 13.0804123806 | 11.6585120967 | ||||||||||||||||||||||||||||||||||||
Services, etc., value added (current US$) | NV.SRV.TETC.CD | 2144515293.42693 | 2649487727.49559 | 3089206039.55828 | 3512246765.76438 | 3593376163.99039 | 4224482197.8988 | 6046844182.8241 | 9445807422.30361 | 11685567288.1349 | 14267999905.6193 | 17504866846.8434 | 19636015466.0184 | 19303116629.1124 | 26768050189.0983 | 32759432541.3 | 36136043876.0596 | 31831710439.724 | 33436558061.116 | 35760239491.9329 | 33655033608.1785 | 30687532358.1636 | 35737613077.5206 | 40578731797.1164 | 47454322446.7945 | 52986490063.482 | 57980562150.1036 | 67057651783.6736 | 74421526746.9462 | 82997033311.0117 | 90656827307.9506 | 85391074076.3676 | 35017942562.8797 | 51838658390.0385 | 63487931605.8701 | 61378806236.9196 | 78421994365.819 | 96409508640.7991 | 105397138912.808 | 115297453357.516 | 146129486157.581 | 170657214746.745 | 191124928311.341 | 199956082495.183 | 266972563654.465 | 322863474846.549 | ||||||||
Services, etc., value added (current LCU) | NV.SRV.TETC.CN | 137999996 | 188000000 | 449000064 | 1089000160 | 2234000000 | 7861000256 | 124179017984 | 320783015168 | 785021997056 | 1007081168896 | 1281970069504 | 1413706098688 | 1753160112128 | 2509440335872 | 3920010080256 | 4849510424576 | 5921219960832 | 7264519741440 | 8680100397056 | 12026999799808 | 16783299526656 | 20696099422208 | 23901101522944 | 28943301345280 | 34303900418048 | 39714605203456 | 43164601876480 | 50445699317760 | 60242892619776 | 71826792382464 | 87449302728704 | 103340608454656 | 117695905267712 | 139956031586304 | 160806313918464 | 186627137208320 | 212345491030016 | 248435073089536 | 350655655968768 | 407200432390142 | 534681100000000 | 629798700000000 | 730202200000000 | 826917160000000 | 942129174000000 | 1.11893205971E+15 | 1.33844620000001E+15 | 1.5599776E+15 | 1.85365569721607E+15 | 2.07753169976E+15 | 2.42689629173E+15 | 2.83165258191E+15 | |
Services, etc., value added (constant 2000 US$) | NV.SRV.TETC.KD | 6613882128.91133 | 7291745451.50754 | 7372869697.50922 | 7411342581.07255 | 7591510721.27646 | 7616765865.94308 | 7856906383.69796 | 7964587128.99088 | 8383900223.27015 | 8779797898.86187 | 9285263358.65681 | 10221369126.5014 | 10640481016.3152 | 10675022444.3077 | 12046427100.8214 | 13987397772.4397 | 14163959671.2212 | 15580910245.5037 | 18175554383.0508 | 19758541472.0212 | 21477447157.7429 | 24161775695.6307 | 25909477525.3994 | 27693326434.6376 | 29252338318.2392 | 30552931951.7005 | 32691229420.5766 | 34717432096.6902 | 37042534962.9772 | 38393278311.4326 | 42684973544.714 | 48002711945.8552 | 46981688929.0157 | 56211866090.8419 | 60197511402.9927 | 65027127770.84 | 69150819267.5555 | 73011881165.2192 | 60993030032.8495 | 60364447361.4051 | 63487931605.8701 | 66590151599.6595 | 70049968401.7598 | 74503803639.607 | 79801261471.3207 | 86082442997.3545 | 92392312061.2048 | 100706687208.035 | 109427318736.84 | 115802063741.292 | 125538715290 | 136203723240.697 | |
Services, etc., value added (annual % growth) | NV.SRV.TETC.KD.ZG | 10.2490989314 | 1.1125490672 | 0.521816947 | 2.4309784392 | 0.3326761378 | 3.1527884929 | 1.3705234609 | 5.2647185283 | 4.7221181675 | 5.7571423126 | 10.0816286161 | 4.1003498125 | 0.3246228055 | 12.8468550176 | 16.1124178594 | 1.2622926841 | 10.0039156223 | 16.6527121758 | 8.7094294656 | 8.6995575466 | 12.4983594101 | 7.2333335587 | 6.8849281406 | 5.6295580355 | 4.4461185267 | 6.9986653728 | 6.1980008462 | 6.697220174 | 3.6464657449 | 11.1782463547 | 12.4581040107 | -2.1270111114 | 19.6463289682 | 7.0903985036 | 8.0229502105 | 6.3414941396 | 5.5835374599 | -16.4615004306 | -1.0305811518 | 5.1743772717 | 4.8863144779 | 5.1956884299 | 6.3580831504 | 7.110318632 | 7.87103037 | 7.3300301945 | 8.9989902421 | 8.6594363995 | 5.8255516795 | 8.4080121149 | 8.4953935733 | ||
Services, etc., value added (constant LCU) | NV.SRV.TETC.KN | 55700629749760 | 61409442398208 | 62092652576768 | 62416662560768 | 63933998170112 | 64146691325952 | 66169100828672 | 67075963879424 | 70607324577792 | 73941485879296 | 78198402449408 | 86082074968064 | 89611741167616 | 89902641315840 | 101452303302656 | 117798722338816 | 119285686992896 | 131218926469120 | 153070436614144 | 166401998323712 | 180878235926528 | 203485047947264 | 218203800207360 | 233226975051776 | 246356622966784 | 257309930422272 | 275318191423488 | 292382415257600 | 311963909357568 | 323339566448640 | 359483259748352 | 404268058148864 | 395669231632384 | 473403710504960 | 506969920110592 | 547643864383488 | 582372667949056 | 614889664020480 | 513669599330304 | 508375817256960 | 534681100000000 | 560807300000000 | 589945100000000 | 627454300000000 | 672068300000000 | 724967000000000 | 778107300000000 | 848129100000000 | 921572300000000 | 975258970600000 | 1.057258863E+15 | 1.1470771645E+15 | |
Services, etc., value added (% of GDP) | NV.SRV.TETC.ZS | 33.4951446602 | 37.9032258065 | 31.8665751317 | 32.161846392 | 29.6758767269 | 31.4188656098 | 37.2518415872 | 35.8564208096 | 35.48089945 | 35.1087735086 | 36.3709363687 | 36.4842433729 | 36.40199411 | 35.2150741717 | 34.691889533 | 36.3493354782 | 36.2788728675 | 36.1699623015 | 36.1633176272 | 35.018503315 | 34.3122037264 | 35.4256066201 | 38.1523321302 | 37.2871126109 | 38.1641675172 | 40.944241343 | 42.0369187714 | 40.4157603866 | 40.2506697954 | 39.9967006942 | 41.4714452138 | 41.3414347785 | 41.6777722176 | 42.4397118448 | 42.0716959379 | 41.0608017656 | 39.8719964584 | 39.5789234739 | 36.6889218935 | 37.0272554188 | 38.4726349304 | 38.2548918134 | 40.0806242766 | 41.0650845189 | 41.0366056295 | 40.3323237731 | 40.0826385397 | 39.4841753758 | 37.4575149702 | 37.0577296544 | 37.7065597496 | 38.126023459 | |
Adjusted savings: education expenditure (current US$) | NY.ADJ.AEDU.CD | 649800292.096443 | 606810970.163234 | 683934514.333819 | 695362355.534367 | 763385651.857844 | 737441360.815964 | 1005100339.67974 | 1196709616.01104 | 1276085777.29276 | 2118829692.92594 | 1032368781.52666 | 2881216745.40694 | 3348574761.78147 | 3194744547.70687 | 3840005644.45272 | 5028892249.32544 | 5458929938.86484 | 6058319870.68176 | 7775406983.00464 | 13714154867.8821 | 18791798674.0778 | 19874691801.1963 | 29718447910.8667 | ||||||||||||||||||||||||||||||
Adjusted savings: education expenditure (% of GNI) | NY.ADJ.AEDU.GN.ZS | 0.7673440602 | 0.6262634426 | 0.6262634426 | 0.6262634426 | 0.6262634426 | 0.485182825 | 0.5838543137 | 0.6099815351 | 0.5766930171 | 1.0116644423 | 1.1462677262 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 2.2276688631 | 3.30907 | 3.818605 | 3.818605 | 4.32814 | ||||||||||||||||||||||||||||||
Adjusted savings: carbon dioxide damage (current US$) | NY.ADJ.DCO2.CD | 58274717.5987628 | 66594273.6472456 | 77221316.4791905 | 92402602.7697303 | 105153803.073177 | 121163169.444573 | 146746704.781469 | 208182797.614885 | 253870800.770658 | 278394128.126628 | 302781606.693485 | 349932135.356831 | 390738506.090784 | 404450291.651786 | 448534992.668894 | 499444159.698873 | 512567556.070336 | 534516802.305195 | 592262066.114867 | 609071105.353798 | 722412161.927068 | 898877793.89985 | 1037160732.60487 | 1143934271.07071 | 1183062643.41373 | 1226951530.90909 | 1407883429.10268 | 1576237032.47656 | 1202502870.85849 | 1379138076.72292 | 1530717619.2631 | 1752967639.47771 | 1870345277.41245 | 1963334179.06201 | 2160478399.67399 | 2249836576.37006 | 2335702890.81387 | 2621213743.41748 | 2950336568.87253 | 3027050108.59129 | 3242291216.3605 | ||||||||||||
Adjusted savings: carbon dioxide damage (% of GNI) | NY.ADJ.DCO2.GN.ZS | 0.6009026772 | 0.6756493716 | 0.6738703505 | 0.5476432977 | 0.3972872858 | 0.3866770915 | 0.3777486439 | 0.4374739629 | 0.4767276205 | 0.5278595922 | 0.4047541628 | 0.3913048195 | 0.4335508246 | 0.4939762183 | 0.5436790835 | 0.6033641601 | 0.6743933617 | 0.7433717716 | 0.6993976212 | 0.6285960307 | 0.6614965585 | 0.8095553307 | 0.850862011 | 0.7526256198 | 0.6872311156 | 0.6253963102 | 0.6362554593 | 0.7525960976 | 1.3351723301 | 1.0663074745 | 1.0183233827 | 1.2223297889 | 1.0850270347 | 0.8697061304 | 0.8816435665 | 0.827274062 | 0.6691833128 | 0.632469142 | 0.5995258979 | 0.5815993926 | 0.4722013191 | ||||||||||||
Adjusted savings: net forest depletion (current US$) | NY.ADJ.DFOR.CD | 0 | 0 | 11148733.7396592 | 74891696.2234799 | 54380318.33185 | 0 | 54619896.1307117 | 24052331.7683693 | 56737939.3630667 | 24440575.3814219 | 37333107.2761429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||||
Adjusted savings: net forest depletion (% of GNI) | NY.ADJ.DFOR.GN.ZS | 0 | 0 | 0.0972892131 | 0.4438612578 | 0.2054572297 | 0 | 0.1406000341 | 0.0505434119 | 0.1065445208 | 0.0463414665 | 0.049906369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||||||||
Adjusted savings: consumption of fixed capital (current US$) | NY.ADJ.DKAP.CD | 600000000 | 607493243.461802 | 718072289.156626 | 1057831325.3012 | 1677108433.73494 | 1978313253.01205 | 2424096385.54217 | 2978313253.01205 | 3354824207.56123 | 3352807126.4173 | 4724158353.61706 | 5559072979.79008 | 5860119289.02743 | 4268306049.2239 | 4380373371.40817 | 4367087640.61393 | 4002931453.85264 | 3796575169.6869 | 4214866349.76805 | 5072709231.76104 | 5721153925.13397 | 6408179347.07604 | 6955938999.72369 | 7900435642.0263 | 8844614138.60928 | 10106732639.4265 | 11368312959.4444 | 10787522174.5399 | 4772309845.02911 | 7000121026.79205 | 7509817950.07316 | 7151746959.91571 | 18943117467.2453 | 23148345620.9241 | 25533079176.0873 | 25973590805.9034 | 34280454041.1295 | 41582817229.2163 | 50174136344.4154 | 53369243249.0059 | 72425255256.2142 | ||||||||||||
Adjusted savings: consumption of fixed capital (% of GNI) | NY.ADJ.DKAP.GN.ZS | 6.1869301336 | 6.1634793158 | 6.2662441828 | 6.269457981 | 6.3363743224 | 6.3135391579 | 6.2399978504 | 6.2586078986 | 6.299808236 | 6.3572152698 | 6.3151879674 | 6.2163254783 | 6.502199068 | 5.2131046125 | 5.3095464546 | 5.275753285 | 5.2667211727 | 5.2800338503 | 4.9773025612 | 5.2353245129 | 5.2387318927 | 5.7713916014 | 5.706487008 | 5.1979125216 | 5.1377617878 | 5.1515590813 | 5.1376065905 | 5.1506511547 | 5.2988281442 | 5.4122799592 | 4.995972557 | 4.9868538099 | 10.9893049279 | 10.2541168542 | 10.419486254 | 9.5505950059 | 9.821415168 | 10.0334620933 | 10.1956822356 | 10.254048775 | 10.5478807381 | ||||||||||||
Adjusted savings: mineral depletion (current US$) | NY.ADJ.DMIN.CD | 15708461.2264574 | 19128561.9477288 | 21677503.0571889 | 60621385.0055586 | 130704739.869086 | 72760971.1658468 | 87100089.4590409 | 127624272.389722 | 143596309.575732 | 225879937.794884 | 263124011.493756 | 188356045.64901 | 130925941.384043 | 137427540.676678 | 142344537.451968 | 137695608.309465 | 95533821.6299987 | 140956476.616045 | 542392080.840178 | 615404640.982911 | 478494039.364984 | 498966240.916631 | 592926610.261079 | 487663663.23472 | 651710301.362069 | 1106460550.35572 | 1102964164.75279 | 991972562.396844 | 976177922.537444 | 980580035.053054 | 1639960176.27371 | 1392019232.85446 | 1623568051.39699 | 2004094084.58548 | 2551229133.76435 | 3911501551.55103 | 6163203961.37432 | 9970335868.84403 | 5528463544.4553 | 6288688527.34592 | 8916533971.68482 | ||||||||||||
Adjusted savings: mineral depletion (% of GNI) | NY.ADJ.DMIN.GN.ZS | 0.1619785869 | 0.1940737567 | 0.1891683184 | 0.359285282 | 0.4938226658 | 0.2322075333 | 0.2242090596 | 0.2681888073 | 0.2696502582 | 0.4282880988 | 0.3517404513 | 0.2106254927 | 0.1452711954 | 0.1678474172 | 0.1725389299 | 0.1663461139 | 0.1256953827 | 0.1960332496 | 0.6405065473 | 0.6351325998 | 0.4381462232 | 0.4493834233 | 0.4864228968 | 0.3208472515 | 0.3785730198 | 0.5639801803 | 0.4984553101 | 0.473630973 | 1.0838774551 | 0.7581545593 | 1.0909979562 | 0.9706434601 | 0.9418663226 | 0.8877617116 | 1.0411003196 | 1.4382750334 | 1.7657696365 | 2.4057289444 | 1.1234165978 | 1.208271187 | 1.2985875797 | ||||||||||||
Adjusted savings: energy depletion (current US$) | NY.ADJ.DNGY.CD | 0 | 291511325.057733 | 384377151.345973 | 770685093.333889 | 3316631750.88543 | 2944160084.29005 | 3787253094.37789 | 4875475270.78305 | 4938066059.11899 | 11864550392.4441 | 14051020238.1482 | 13656240527.0406 | 9598860558.26635 | 8826145788.74555 | 10074403989.0311 | 8104233567.5885 | 4204987468.42609 | 4832726758.85976 | 3470145136.45418 | 5124091566.38897 | 7949474753.24026 | 7288518135.36745 | 6534612690.74584 | 6354596256.36699 | 6243867798.63865 | 6921501445.39346 | 9318733804.71859 | 8543401130.36233 | 4642672041.72693 | 5551622039.57236 | 12438372499.198 | 10720098236.6468 | 8846010353.86391 | 12142960161.1957 | 17307944316.6915 | 24928848095.4046 | 26827086808.1983 | 30077281777.7814 | 52702048833.9092 | 24803810854.9076 | 36394423639.5978 | ||||||||||||
Adjusted savings: energy depletion (% of GNI) | NY.ADJ.DNGY.GN.ZS | 0 | 2.9576033012 | 3.3542599053 | 4.5676259472 | 12.5307462776 | 9.3959184426 | 9.7489733943 | 10.245291696 | 9.2728761046 | 22.4962242324 | 18.7832048156 | 15.2708259515 | 10.6505856106 | 10.7798318095 | 12.2114056147 | 9.790492059 | 5.5325695147 | 6.72104719 | 4.0978671308 | 5.2883540053 | 7.2791551259 | 6.5642501676 | 5.3608409194 | 4.1808625432 | 3.6270101648 | 3.5279971183 | 4.2113538201 | 4.0791646298 | 5.1548876912 | 4.2923447453 | 8.2747368941 | 7.4750355449 | 5.1317585578 | 5.3790164744 | 7.0629901959 | 9.166438861 | 7.6860113047 | 7.2573069045 | 10.7093690539 | 4.7656565997 | 5.3004168052 | ||||||||||||
Adjusted savings: particulate emission damage (current US$) | NY.ADJ.DPEM.CD | 458549512.606183 | 505300425.65485 | 576509174.29182 | 769946571.837286 | 875008925.647036 | 1046781367.30957 | 1214645031.44229 | 1197395612.11151 | 532026983.005812 | 778212943.078216 | 943898107.412063 | 949170004.278075 | 1197189826.20041 | 1754382957.48565 | 1988918819.94012 | 2188135215.16231 | 2737485145.65398 | 3159916723.53364 | 3859309268.74468 | 4038435704.22337 | 5327731513.80416 | ||||||||||||||||||||||||||||||||
Adjusted savings: particulate emission damage (% of GNI) | NY.ADJ.DPEM.GN.ZS | 0.4198834689 | 0.4550881732 | 0.4729544226 | 0.5065688916 | 0.5082853081 | 0.533560771 | 0.5489265066 | 0.5717130396 | 0.5907243332 | 0.6016904993 | 0.6279365322 | 0.6618483678 | 0.6945152549 | 0.7771461576 | 0.8116338872 | 0.8045862205 | 0.7842946916 | 0.7624520602 | 0.7842345443 | 0.7759210018 | 0.7759210018 | ||||||||||||||||||||||||||||||||
Adjusted savings: natural resources depletion (% of GNI) | NY.ADJ.DRES.GN.ZS | 0.1619785869 | 3.1516770579 | 3.6407174368 | 5.370772487 | 13.2300261731 | 9.6281259759 | 10.113782488 | 10.5640239152 | 9.6490708836 | 22.9708537976 | 19.1848516358 | 15.4814514442 | 10.795856806 | 10.9476792267 | 12.3839445447 | 9.9568381728 | 5.6582648974 | 6.9170804396 | 4.7383736781 | 5.9234866051 | 7.7173013491 | 7.0136335909 | 5.8472638162 | 4.5017097947 | 4.0055831845 | 4.0919772986 | 4.7098091303 | 4.5527956028 | 6.2387651463 | 5.0504993046 | 9.3657348504 | 8.445679005 | 6.0736248804 | 6.266778186 | 8.1040905155 | 10.6047138944 | 9.4517809412 | 9.6630358489 | 11.8327856517 | 5.9739277867 | 6.5990043849 | ||||||||||||
Adjusted savings: gross savings (% of GNI) | NY.ADJ.ICTR.GN.ZS | 29.6644519185 | 25.5349238941 | 26.9477013199 | 26.2286509346 | 25.9409644516 | 25.0740513185 | 28.2659640621 | 28.5104388815 | 32.754538378 | 29.4098333301 | 23.1841891481 | 24.4719673032 | 30.1455779724 | 30.6947064352 | 28.9910109782 | 28.5738289567 | 29.9054611853 | 23.7624230856 | 14.2902616295 | 27.3949472332 | 23.6516365907 | 18.9437887589 | 31.0838653231 | 25.7654120546 | 27.3703732798 | 29.1268556054 | 27.1472114459 | 27.3404442218 | 32.2834161445 | 32.884429333 | |||||||||||||||||||||||
Adjusted savings: net national savings (current US$) | NY.ADJ.NNAT.CD | 20968954501.4601 | 17153279484.2261 | 17795520615.5345 | 17258251528.8462 | 17105953103.1815 | 15054410943.2334 | 16527888716.079 | 19928269009.4712 | 26664435009.1218 | 26396959167.8466 | 19334042345.3594 | 22874236995.5256 | 37918572983.9796 | 43996067412.6002 | 46770106445.5072 | 51858838498.644 | 51846466419.1745 | 16628958991.6761 | 11482581580.0392 | 33669564868.1373 | 26767538933.1605 | 13711760897.6929 | 47022500680.4449 | 37605379857.1658 | 48462282072.6687 | 67383289713.3255 | 70926456373.2347 | 84371364820.5727 | 114656238874.006 | 153370167306.45 | |||||||||||||||||||||||
Adjusted savings: net national savings (% of GNI) | NY.ADJ.NNAT.GN.ZS | 23.4481264402 | 19.0327248261 | 21.7345967073 | 20.91910448 | 20.6652111667 | 19.8073301458 | 22.9859302119 | 23.5331363203 | 27.5192138652 | 24.1711014374 | 17.4127975467 | 18.7654802952 | 24.9476654508 | 25.5569446474 | 23.8394518969 | 23.4362223662 | 24.7548100305 | 18.4635949414 | 8.8779816703 | 22.3989746762 | 18.6647827808 | 7.9544838311 | 20.8297484689 | 15.3459258006 | 17.8197782739 | 19.3054404374 | 17.1137493525 | 17.1447619863 | 22.0293673696 | 22.3365485949 | |||||||||||||||||||||||
Adjusted net national income (current US$) | NY.ADJ.NNTY.CD | 9082154405.1845 | 8938203077.27952 | 10324097245.4572 | 14908742094.0058 | 21289125487.357 | 26339223331.6285 | 32494642403.0974 | 39582006419.5745 | 44759574329.4948 | 37272507475.9137 | 55730662661.4105 | 70023323921.5508 | 74535284592.3591 | 68644590910.3989 | 67902831890.2189 | 70167553745.6467 | 67700788274.0573 | 63134113372.4214 | 76454335144.8995 | 86081678011.7061 | 95059633185.3398 | 96837857992.8399 | 107811813670.11 | 137249774670.603 | 156408975119.524 | 178053148305.565 | 199486428969.685 | 189117072992.068 | 79672335650.0783 | 115805425122.342 | 128729287358.995 | 124148139061.552 | 142965062243.672 | 188451448448.173 | 199658976903.334 | 217143888246.545 | 281767081763.18 | 332810929854.494 | 383706964656.395 | 436008214360.793 | 568897027066.209 | ||||||||||||
Adjusted net national income (constant 2000 US$) | NY.ADJ.NNTY.KD | 16745104375.8318 | 17188207470.7317 | 17030643762.0442 | 18241580150.9346 | 21132575352.5328 | 24210277998.7055 | 24773129212.4713 | 26688476619.5431 | 31155443281.05 | 30346948846.0626 | 38248301184.7184 | 50614391431.7691 | 53373500552.2939 | 56459307678.3455 | 58383254652.7425 | 64296647787.241 | 67490021521.6975 | 68722471510.3903 | 72063837967.6458 | 78759035077.5609 | 87560558053.6552 | 85709000637.5248 | 93669677190.9197 | 112109725841.697 | 123880776498.941 | 136057990839.991 | 146565745508.654 | 157482978474.235 | 134051035327.073 | 129350361548.49 | 128729287358.995 | 131036082735.401 | 126042600529.13 | 144677062961.738 | 147091741305.81 | 150261870163.527 | 162364016984.837 | 169551146566.492 | 169978859035.236 | 193006544240.542 | 201100384788.784 | ||||||||||||
Adjusted net national income (annual % growth) | NY.ADJ.NNTY.KD.ZG | 2.6461650221 | -0.9166965721 | 7.1103383161 | 15.8483814323 | 14.5637840861 | 2.3248440757 | 7.7315521614 | 16.7374358799 | -2.5950342856 | 26.0367273782 | 32.3310836404 | 5.4512344068 | 5.7815340836 | 3.4076701495 | 10.1285773972 | 4.9666255464 | 1.8261217894 | 4.8621162537 | 9.2906474297 | 11.1752549627 | -2.1146021191 | 9.2880286716 | 19.6862519481 | 10.4995802718 | 9.8297852865 | 7.7229970866 | 7.4486933681 | -14.8790322447 | -3.506629969 | -0.4801487851 | 1.7919740129 | -3.8107688371 | 14.7842573498 | 1.6690125543 | 2.1552052002 | 8.0540371341 | 4.4265531952 | 0.2522616198 | 13.5473819133 | 4.1935575709 | |||||||||||||
Adjusted net savings, including particulate emission damage (current US$) | NY.ADJ.SVNG.CD | 17471963215.042 | 10837742105.0549 | 14896413439.4798 | 29899873582.2859 | 36047518083.2185 | 37665121167.5504 | 40090697845.9204 | 41656289774.7532 | 10307947955.0741 | 5674245231.01954 | 20465191227.7719 | 15148028367.6104 | 4014653033.27187 | 34186621547.4416 | 19055739125.9607 | 21242280504.8625 | 37095217890.2896 | 38112470582.3292 | 37943878843.1901 | 96372945480.1343 | 129207634875.869 | ||||||||||||||||||||||||||||||||
Adjusted net savings, including particulate emission damage (% of GNI) | NY.ADJ.SVNG.GN.ZS | 15.9986835035 | 9.7607838944 | 12.220663488 | 19.6719439697 | 20.9396993528 | 19.1984990522 | 18.1179242871 | 19.8893697328 | 11.445200858 | 4.3871532549 | 13.6146487741 | 10.5625944822 | 2.3289855241 | 15.143786858 | 7.7762266945 | 7.8108729601 | 10.6278503549 | 9.3430798174 | 7.7551344348 | 18.5165241885 | 18.8175618891 | ||||||||||||||||||||||||||||||||
Adjusted net savings, excluding particulate emission damage (current US$) | NY.ADJ.SVNX.CD | 15973270018.1584 | 20922678666.5593 | 17930512727.6481 | 11343042530.7098 | 15472922613.7717 | 30669820154.1231 | 36922527008.8655 | 38711902534.86 | 41305342877.3627 | 42853685386.8647 | 10839974938.0799 | 6452458174.09776 | 21409089335.184 | 16097198371.8884 | 5211842859.47228 | 35941004504.9273 | 21044657945.9008 | 23430415720.0248 | 39832703035.9436 | 41971779851.0739 | 41982314547.4134 | 100411381184.358 | 134535366389.673 | ||||||||||||||||||||||||||||||
Adjusted net savings, excluding particulate emission damage (% of GNI) | NY.ADJ.SVNX.GN.ZS | 18.8627090812 | 21.593394672 | 16.4185669724 | 10.2158720676 | 12.6936179106 | 20.1785128614 | 21.4479846609 | 19.7320598232 | 18.6668507936 | 20.4610827724 | 12.0359251912 | 4.9888437542 | 14.2425853063 | 11.22444285 | 3.023500779 | 15.9209330156 | 8.5878605818 | 8.6154591806 | 11.4121450466 | 10.1273143617 | 8.5310554366 | 19.2924451902 | 19.5934828909 | ||||||||||||||||||||||||||||||
Exports as a capacity to import (constant LCU) | NY.EXP.CAPM.KN | 24845279833712.7 | 21979566540635.3 | 29539716884035.4 | 21834218356344.7 | 23023905231652 | 19393934999574.8 | 11656530007081.1 | 13475695026306.8 | 19336206886640.3 | 20424419375883 | 30437897436401.1 | 41599869936344.4 | 55001348773389 | 76684361546606.7 | 130673971256522 | 114425838632439 | 133318707381632 | 158149813061715 | 160042190602086 | 207216294355618 | 283787079972126 | 271417976229546 | 239476915501942 | 209461850237111 | 237459598960157 | 234180415716592 | 213741407919900 | 244861661571924 | 210025430313914 | 235817222124710 | 273201036301519 | 317091289630669 | 359843333850443 | 377587964465537 | 421749341137761 | 464463599933572 | 509374061192263 | 592407941704227 | 694443893814987 | 435213637034034 | 569490300000000 | 559591651806393 | 523004318288474 | 564898386494253 | 635318240821072 | 728355874898727 | 841329110389648 | 878156882636817 | 863923846273033 | 801640529285624 | 892258352977092 | 995611441380290 | |
Coal rents (% of GDP) | NY.GDP.COAL.RT.ZS | 0 | 0.0016530071 | 0.0008477605 | 0 | 0.004142363 | 0.0083826972 | 0.0067157255 | 0.0067886564 | 0.0071893106 | 0.0057626122 | 0.0068745196 | 0.0117533889 | 0.0152054137 | 0.0106287788 | 0.021138569 | 0.0398287573 | 0.0380665536 | 0.0164436644 | 0.0333639193 | 0.0858334618 | 0.0915946163 | 0.106142638 | 0.140441237 | 0.065557065 | 0.0581163623 | 0.1110894968 | 0.106030425 | 0.1257551957 | 0.161739574 | 0.0462519227 | 0.0745379639 | 0.69394096 | 0.3204795464 | 0.2528946639 | 1.664392782 | 1.4027705566 | 1.5553332805 | 2.2413330617 | 4.7599984778 | 2.4195273712 | 3.3665201969 | ||||||||||||
Inflation, GDP deflator (annual %) | NY.GDP.DEFL.KD.ZG | 13.4616140026 | 178.7494266202 | 145.8513982752 | 114.9096870253 | 229.2410191955 | 1195.4094456348 | 165.3905375177 | 120.7456949328 | 20.6269971589 | 13.616039416 | 2.744197695 | 15.2101708039 | 34.7856975789 | 46.472290005 | 11.1950480317 | 15.4246828919 | 13.272847313 | 9.4341552967 | 33.6114534255 | 30.9904391736 | 10.4391901721 | 6.0613047865 | 14.2518651694 | 8.0479288077 | 4.2854263957 | -0.0968958838 | 15.4378274403 | 12.7453472786 | 9.9931654086 | 7.7239105364 | 8.8277302356 | 5.3643161967 | 8.8801054815 | 7.7763777301 | 9.7032768606 | 8.8535912912 | 12.571308928 | 75.2712840493 | 14.1611925581 | 20.4474593035 | 14.2957154363 | 5.8960516932 | 5.4874270425 | 8.550732687 | 14.3317858598 | 14.0874219613 | 11.2585785122 | 18.1497524726 | 8.274750092 | 8.1085199788 | 8.3951915743 | ||
GDP deflator (base year varies by country) | NY.GDP.DEFL.ZS | 0.000265169 | 0.000300865 | 0.0008386594 | 0.0020618558 | 0.0044311279 | 0.0145890907 | 0.1889884585 | 0.501557486 | 1.1071665579 | 1.3355417723 | 1.5173896665 | 1.5590298387 | 1.7961609401 | 2.4209680527 | 3.5460473471 | 3.9430290508 | 4.5512287783 | 5.1553064249 | 5.641666039 | 7.5379119921 | 9.873944023 | 10.9047038171 | 11.5656711515 | 13.2139950099 | 14.277447921 | 14.8892974428 | 14.8748703265 | 17.1712271394 | 19.3597596703 | 21.2944124769 | 22.9391738459 | 24.9641822313 | 26.3033399021 | 28.6391042305 | 30.866189154 | 33.861220944 | 36.8591550526 | 41.4928333025 | 72.7250217177 | 83.023752081 | 100 | 114.2957154363 | 121.0346499015 | 127.676338011 | 138.5936003788 | 158.4565384005 | 180.7789795903 | 201.132122941 | 237.6371053976 | 257.3009819952 | 278.1642835259 | 301.5167080193 | |
Discrepancy in expenditure estimate of GDP (current LCU) | NY.GDP.DISC.CN | -5981264 | -5126800 | -7903808 | -33217136 | -99758816 | -46000128 | -1481748480 | -2735480832 | -8379285504 | -9015328768 | -15765995520 | -19376537600 | -28012937216 | -49855528960 | -111957508096 | -106515660800 | -133135859712 | -165932826624 | -182882664448 | 274132172800 | -434081366016 | 1149992304640 | -674590359552 | -101187584 | -576998604800 | 85800779776 | -1313998635008 | 1459595771904 | -14680064 | 3601792499712 | 4382709514240 | 5266706792448 | 5828606164992 | 11534336 | 11534336 | 22020096 | 3670016 | -35651584 | -8388608 | -25165826 | -13144500000000 | -13986300000000 | -46995000000000 | -185355200000000 | -87673255000000 | -47162978639999.5 | -70415688129570 | -33646994000000 | 103108548952660 | -116790942440001 | 6296120430000 | 167536361110001 | |
Discrepancy in expenditure estimate of GDP (constant LCU) | NY.GDP.DISC.KN | -129031159808 | -128351379456 | -140504055808 | -156029485056 | -163119235072 | -163412000768 | -169853124608 | -167023427584 | -176174219264 | -209095294976 | -230246531072 | -235647631360 | -241618075648 | -277049081856 | -293004640256 | -302349549568 | -422095028224 | -433357914112 | -472694620160 | -501109030912 | -534268084224 | -543535169536 | -551025246208 | -6257031774208 | -547845406720 | -3490413805568 | -3957952610304 | -1357766459392 | -798846681088 | -861375889408 | 965208506368 | -1064045576192 | -1147259060224 | -1077422522368 | 0 | -13144499999999.8 | -11767199999999.8 | 9546600000000.13 | -26895750000000 | 8757217000000 | -8535387620000.25 | 16237878890120.6 | 54186838950790 | 27039831135930 | 2205256500000 | 1628388700000 | -11475918270000.3 | ||||||
Gross value added at factor cost (current US$) | NY.GDP.FCST.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross value added at factor cost (current LCU) | NY.GDP.FCST.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross value added at factor cost (constant 2000 US$) | NY.GDP.FCST.KD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Gross value added at factor cost (constant LCU) | NY.GDP.FCST.KN | 724776268070912 | 783092461600768 | 858768912941056 | 938475318673408 | 1.00283298768486E+15 | 1.07524969306522E+15 | 1.15822866255053E+15 | 1.25798169391923E+15 | 1.36328905752576E+15 | 1.41839321949798E+15 | 1.30471925959885E+15 | 1.30003237653709E+15 | |||||||||||||||||||||||||||||||||||||||||
Forest rents (% of GDP) | NY.GDP.FRST.RT.ZS | 11.7674050334 | 12.24720849 | 11.3593304034 | 9.7453947343 | 7.3756274895 | 5.9959108768 | 5.2749637799 | 4.5878929375 | 4.652705271 | 5.5769302042 | 4.6753110296 | 3.3933271406 | 3.0932119053 | 3.3204345084 | 2.9848874494 | 2.7043909426 | 3.0976018246 | 4.0927777321 | 3.7359043993 | 3.3123003311 | 3.0578826029 | 2.7638484845 | 2.6632304319 | 2.9458383914 | 2.5043118196 | 2.1840330195 | 1.9516806528 | 1.8836225405 | 3.6414585332 | 2.5536196705 | 2.156036673 | 1.8425759063 | 1.6899107165 | 1.3940010188 | 1.438941911 | 1.3438330889 | 1.0346239576 | 0.9043080159 | 0.9706427986 | 0.7179338358 | 0.6531600752 | ||||||||||||
Mineral rents (% of GDP) | NY.GDP.MINR.RT.ZS | 0.2603180354 | 0.3108036683 | 0.2989249048 | 0.5648047674 | 0.7522982784 | 0.361948676 | 0.3543466383 | 0.4047680878 | 0.4018819626 | 0.622148751 | 0.511160513 | 0.314850045 | 0.2156438293 | 0.2507882581 | 0.2536809313 | 0.2485070843 | 0.1874912527 | 0.2914151532 | 0.9733307928 | 0.9663016821 | 0.6611390958 | 0.6132278741 | 0.6641199901 | 0.4737854244 | 0.575568906 | 0.8589778042 | 0.7316714691 | 0.720955194 | 1.5864340251 | 1.0721263136 | 1.4400837307 | 1.328741039 | 1.2629807955 | 1.2790426095 | 1.5600127614 | 2.0736626444 | 2.5900400922 | 3.344748746 | 1.6474061896 | 1.8134603855 | 1.9448874367 | ||||||||||||
GDP (current US$) | NY.GDP.MKTP.CD | 5980840376.72106 | 7467363478.84782 | 8798957442.35583 | 9656740013.93973 | 9849117952.81548 | 11605084559.7301 | 17171181163.3349 | 27227710999.441 | 32147953007.653 | 39328674729.6386 | 48396143465.4843 | 54298158339.5256 | 55122620334.4537 | 78013206037.5695 | 92473878831.719 | 94715163814.2593 | 85369201879.0977 | 87612439197.276 | 87338874330.0743 | 80060657611.8902 | 75929617715.0119 | 88787623309.6593 | 101455197785.783 | 114426498044.996 | 128167999846.519 | 139116270052.446 | 158006849878.9 | 176892148243.49 | 202132032844.159 | 227369671349.349 | 215748854646.704 | 95445548017.3549 | 140001352527.221 | 165021012261.509 | 160446947638.313 | 195660611033.849 | 234772458818.096 | 256836883304.553 | 285868610016.591 | 364570525997.054 | 432216737774.861 | 510244548959.967 | 539579959052.699 | 708026840494.953 | 846832282925.207 | ||||||||
GDP (current LCU) | NY.GDP.MKTP.CN | 412000000 | 496000000 | 1409000064 | 3386000128 | 7528000000 | 25020000256 | 333350010880 | 894632001536 | 2212520001536 | 2868460126208 | 3524710105088 | 3874840117248 | 4816110092288 | 7126040182784 | 11299500064768 | 13341400498176 | 16321400012800 | 20084399538176 | 24002500231168 | 34344699691008 | 48913499291648 | 58421298593792 | 62646502031360 | 77622801334272 | 89885100736512 | 96996803215360 | 102682601717760 | 124816900227072 | 149669292277760 | 179581793337344 | 210866301566976 | 249968606576640 | 282394905018368 | 329776111812608 | 382219709317120 | 454514108792832 | 532567992303616 | 627695377448960 | 955753502343168 | 1.09973161063219E+15 | 1.3897699E+15 | 1.646322E+15 | 1.8218334E+15 | 2.01367456E+15 | 2.295826274E+15 | 2.77428115971E+15 | 3.33921680000001E+15 | 3.9508932E+15 | 4.94868839721607E+15 | 5.60620339976E+15 | 6.43627079173E+15 | 7.42708608191E+15 | |
GDP (constant 2000 US$) | NY.GDP.MKTP.KD | 18448917543.0937 | 19575208345.7326 | 19949028313.5138 | 19499569411.57 | 20172590380.1612 | 20363640992.5818 | 20944091970.0574 | 21179712359.7706 | 23728516741.3444 | 25502789513.2991 | 27581801389.1735 | 29511800441.052 | 31838126471.1194 | 34950673891.039 | 37836507705.0596 | 40176101277.1092 | 42581905063.171 | 46259476456.7959 | 50517919165.938 | 54100964303.248 | 58821272858.9985 | 63614142518.2266 | 64316489535.6947 | 69751173550.1278 | 74753833726.7956 | 77353427294.9816 | 81967185137.4495 | 86311448523.5578 | 91797126913.3154 | 100136633662.216 | 109150506063.016 | 118895240735.93 | 127480073499.85 | 136727574166.942 | 147036924428.259 | 159382671061.234 | 171563947984.591 | 179627234868.464 | 156048063635.727 | 157282606425.05 | 165021012261.509 | 171033497474.112 | 178729107603.082 | 187273018674.386 | 196694488176.924 | 207891462167.108 | 219327471266.474 | 233243848106.738 | 247270439237.57 | 258716276502.157 | 274744677419.886 | 292484879998.349 | |
GDP growth (annual %) | NY.GDP.MKTP.KD.ZG | 6.1049153697 | 1.9096602252 | -2.2530365634 | 3.4514657959 | 0.9470802154 | 2.8504282593 | 1.1249969206 | 12.0341784547 | 7.4773859289 | 8.1520959689 | 6.9973640396 | 7.8826977524 | 9.7761638793 | 8.2568760277 | 6.1834289525 | 5.9881464592 | 8.6364651562 | 9.2055575102 | 7.0926221754 | 8.7249989285 | 8.1481909967 | 1.1040737007 | 8.4499077199 | 7.1721519826 | 3.4775387944 | 5.9645163813 | 5.3000031401 | 6.3556787467 | 9.0847143362 | 9.0015732217 | 8.9277961453 | 7.2205016036 | 7.2540754121 | 7.5400666794 | 8.3963580447 | 7.6427862843 | 4.6998725423 | -13.1267239347 | 0.7911298356 | 4.9200645973 | 3.6434664472 | 4.4994753909 | 4.7803691217 | 5.030873945 | 5.6925713038 | 5.5009517852 | 6.3450222445 | 6.0137025026 | 4.6288740781 | 6.195358535 | 6.4569777093 | ||
GDP (constant LCU) | NY.GDP.MKTP.KN | 155372639748096 | 164858007912448 | 168006235717632 | 164220993798144 | 169889025228800 | 171498010574848 | 176386438332416 | 178370780332032 | 199836238348288 | 214778765115392 | 232287736168448 | 248541754687488 | 268133549998080 | 294346725261312 | 318650569457664 | 338354101026816 | 358615240146944 | 389586920407040 | 425450568417280 | 455626169778176 | 495379548209152 | 535744019955712 | 541659028783104 | 587428716871680 | 629559997235200 | 651453190373376 | 690309222629376 | 726895633104896 | 773094784368640 | 843328237076480 | 919241045835776 | 1.00130901249229E+15 | 1.0736085457961E+15 | 1.15148891933901E+15 | 1.2383119516631E+15 | 1.34228505683558E+15 | 1.4448730350551E+15 | 1.51278022610125E+15 | 1.31420174208205E+15 | 1.32459878416384E+15 | 1.3897699E+15 | 1.4404057E+15 | 1.5052164E+15 | 1.5771713E+15 | 1.6565168E+15 | 1.7508152E+15 | 1.8471267E+15 | 1.9643273E+15 | 2.0824561E+15 | 2.1788503706E+15 | 2.313837963E+15 | 2.4632419645E+15 | |
GDP, PPP (current international $) | NY.GDP.MKTP.PP.CD | 95260765910.6902 | 112678457848.201 | 120863560278.619 | 136261185665.017 | 151518641179.849 | 161575991315.664 | 175041495845.763 | 189719111640.278 | 208803662981.149 | 236347174940.803 | 267392663431.6 | 301163163062.605 | 329710174248.861 | 361380479249.934 | 396541394876.247 | 439836359249.31 | 481835659669.509 | 514206552882.774 | 452983646733.031 | 463261956465.078 | 496571644068.446 | 526331987733.815 | 558945755989.399 | 598002302512.926 | 645745309096.58 | 705158950677.644 | 767949074854.384 | 840351951108.31 | 910588847615.036 | 965280832187.438 | 1032323803217.66 | 1123469344628.88 | |||||||||||||||||||||
GDP, PPP (constant 2005 international $) | NY.GDP.MKTP.PP.KD | 199519242466.213 | 215776451417.484 | 218158782469.883 | 236592998271.404 | 253561807687.638 | 262379517917.878 | 278029187245.136 | 292764742899.428 | 311371929441.639 | 339659179754.481 | 370233849524.139 | 403287572870.701 | 432406958536.874 | 463774085396.352 | 498742960677.024 | 540619205378.42 | 581937575857.165 | 609287900198.403 | 529308359571.764 | 533495875926.743 | 559744217646.371 | 580138310406.545 | 606241490916.22 | 635222071950.766 | 667179293661.54 | 705158950677.644 | 743949404563.462 | 791153159771.202 | 838730757140.021 | 877554547742.041 | 931922198314.92 | 992096206928.04 | |||||||||||||||||||||
Natural gas rents (% of GDP) | NY.GDP.NGAS.RT.ZS | 0 | 0.0313760199 | 0.0327602548 | 0.0338235654 | 0.0800022828 | 0.0790562808 | 0.1564250715 | 0.4434672848 | 1.0581402894 | 1.9888083231 | 1.9445990373 | 1.8135667442 | 1.7566834989 | 1.9526616496 | 2.6110203496 | 2.349294794 | 2.3863194887 | 1.6798910142 | 1.365947041 | 1.0618891709 | 1.8418623051 | 1.8688231343 | 1.4845999622 | 1.7894920143 | 1.5237553753 | 1.3858700903 | 1.9547654014 | 1.9037652161 | 2.8297116481 | 1.5160336257 | 4.2609979682 | 3.9415416087 | 2.2997207899 | 3.851684119 | 3.676242037 | 5.5981976514 | 4.0670950924 | 3.1883806866 | 4.2286973444 | 1.3359361568 | 0.9308559871 | ||||||||||||
GDP per capita (current US$) | NY.GDP.PCAP.CD | 54.5633625015 | 66.3995774646 | 76.2613015727 | 81.5866682421 | 81.1256279825 | 93.2077330044 | 134.504721479 | 208.0620132818 | 239.7205997269 | 286.2722427918 | 343.9961160702 | 377.0005894707 | 373.9568778778 | 517.2601994306 | 599.4076920163 | 600.3809610076 | 529.4355778174 | 531.9293186298 | 519.5056225257 | 466.9012814392 | 434.461042727 | 498.7878177107 | 559.9138265067 | 620.7161311267 | 683.7384322077 | 730.2214454984 | 816.4646469955 | 900.2674296864 | 1013.699544634 | 1124.161969707 | 1052.1077047556 | 459.2276532269 | 664.7397402269 | 773.3109699417 | 742.1107816498 | 893.3199025325 | 1058.2999838513 | 1143.4969506944 | 1257.6533962475 | 1585.650791352 | 1859.3026388732 | 2171.704800224 | 2272.7338490967 | 2951.699148509 | 3494.6045738883 | ||||||||
GDP per capita (constant 2000 US$) | NY.GDP.PCAP.KD | 200.6481494184 | 207.7479243522 | 206.549652472 | 196.9290847915 | 198.6687943542 | 195.5284399284 | 196.0326509934 | 193.2230673904 | 210.9932762683 | 221.0348140402 | 233.0297052846 | 243.0840360675 | 255.7120179699 | 273.7744487406 | 289.1297020461 | 299.5848317479 | 309.9524087343 | 328.8088490755 | 350.7537987808 | 367.0258702919 | 390.0096518935 | 412.3413749718 | 407.6896902359 | 432.5769956741 | 453.8597053521 | 460.1105831695 | 478.0198529241 | 493.8647533506 | 515.6944954536 | 552.636897379 | 592.096070329 | 634.2710005235 | 669.1430377497 | 706.5088042849 | 748.3235142908 | 799.3099302666 | 848.2471059244 | 875.9592170189 | 750.8111959397 | 746.7927777117 | 773.3109699417 | 791.0764546605 | 816.0164079018 | 844.1834857318 | 875.7291575681 | 914.5999045861 | 953.9355312056 | 1003.3644335904 | 1052.4333889314 | 1089.724014122 | 1145.3854345843 | 1206.9910654619 | |
GDP per capita growth (annual %) | NY.GDP.PCAP.KD.ZG | 3.5384203414 | -0.5767912647 | -4.6577506015 | 0.8834193103 | -1.5806983859 | 0.2578709599 | -1.4332222661 | 9.1967326251 | 4.7591742967 | 5.4266977338 | 4.3146133539 | 5.1949038311 | 7.0635830549 | 5.608724034 | 3.616069061 | 3.4606481663 | 6.083656655 | 6.6740751555 | 4.6391718543 | 6.2621693624 | 5.7259411325 | -1.1281149597 | 6.1044726012 | 4.9199818508 | 1.3772709372 | 3.8923837898 | 3.3146950549 | 4.4201862868 | 7.1636215339 | 7.14016258 | 7.1229876886 | 5.4979712453 | 5.5841224413 | 5.9184980785 | 6.8134189294 | 6.1224280851 | 3.2669856344 | -14.2869689191 | -0.5352102166 | 3.5509438524 | 2.2973273895 | 3.1526602889 | 3.4517783659 | 3.7368264565 | 4.4386722404 | 4.300856191 | 5.1815768223 | 4.8904419669 | 3.543276523 | 5.1078456326 | 5.3785938792 | ||
GDP per capita (constant LCU) | NY.GDP.PCAP.KN | 1689813.64694651 | 1749606.3567625 | 1739514.78013056 | 1658492.51999499 | 1673143.96317695 | 1646696.60355666 | 1650942.95589485 | 1627281.27384988 | 1776937.98166339 | 1861505.55735487 | 1962523.83725052 | 2047199.15280693 | 2153549.18002594 | 2305666.91498571 | 2434985.40939073 | 2523036.16341918 | 2610349.56814376 | 2769154.27336388 | 2953969.71074034 | 3091009.44214667 | 3284573.68842269 | 3472646.4442741 | 3433471.00024001 | 3643066.29671824 | 3822304.4973308 | 3874947.98630284 | 4025775.83358632 | 4159218.02606478 | 4343063.21089217 | 4654183.82229783 | 4986500.11398285 | 5341687.90319586 | 5635372.36812844 | 5950058.46118655 | 6302212.55688032 | 6731608.70020176 | 7143746.60184311 | 7377131.77708108 | 6323163.25297079 | 6289321.0372286 | 6512651.295955 | 6662268.21796256 | 6872306.90241332 | 7109523.70530849 | 7375194.26805982 | 7702554.96871084 | 8033830.78095044 | 8450109.89464047 | 8863357.61517477 | 9177410.88470609 | 9646178.8657623 | 10165007.6518111 | |
1 | 1.0353842034 | 1.0294121978 | 0.9814647449 | 0.990135194 | 0.974484143 | 0.9769970546 | 0.9629945153 | 1.051558546 | 1.1016040501 | 1.1613847721 | 1.2114940346 | 1.2744299846 | 1.364450405 | 1.4409786628 | 1.4930854464 | 1.5447558805 | 1.6387335245 | 1.7481038315 | 1.8292013724 | 1.9437490604 | 2.0550469873 | 2.0318636948 | 2.1558982574 | 2.2619680603 | 2.293121489 | 2.3823785782 | 2.4613471631 | 2.5701432929 | 2.7542586312 | 2.9509171754 | 3.1611106425 | 3.3349075967 | 3.5211329202 | 3.7295311044 | 3.9836396826 | 4.2275351574 | 4.3656481236 | 3.7419293331 | 3.721902145 | 3.8540648004 | 3.9426052867 | 4.0669022379 | 4.2072826895 | 4.3645015422 | 4.5582274605 | 4.7542702685 | 5.0006164348 | 5.2451686795 | 5.4310195099 | 5.7084276028 | 6.0154607404 | 0 | ||
GDP per capita, PPP (current international $) | NY.GDP.PCAP.PP.CD | 631.6187383601 | 730.3720273447 | 766.1305492031 | 845.0532273783 | 919.9288171971 | 961.0798925164 | 1020.8147316453 | 1085.5521935834 | 1173.009474813 | 1304.3595004818 | 1450.4939185647 | 1606.6165438934 | 1730.6490459007 | 1867.3518625807 | 2018.1410304209 | 2205.7954437545 | 2382.2936499605 | 2507.5483112515 | 2179.489995715 | 2199.6118397336 | 2327.0024493097 | 2434.4286293619 | 2551.9565007135 | 2695.6561697164 | 2875.0068229164 | 3102.283770025 | 3340.0918928667 | 3615.0117839531 | 3875.6517348922 | 4065.8041211319 | 4303.6635289321 | 4636.1967883435 | |||||||||||||||||||||
GDP per capita, PPP (constant 2005 international $) | NY.GDP.PCAP.PP.KD | 1322.8960632462 | 1398.6443130713 | 1382.865997343 | 1467.2826732615 | 1539.4727144865 | 1560.6754247689 | 1621.4229020145 | 1675.1681267671 | 1749.2136785878 | 1874.5207263407 | 2008.3645537976 | 2151.4201137076 | 2269.7045729254 | 2396.4476553327 | 2538.2813637654 | 2711.2251066856 | 2877.2179140681 | 2971.2162099902 | 2546.7194735506 | 2533.08917074 | 2623.0377449231 | 2683.2975094753 | 2767.8927644908 | 2863.4342881266 | 2970.4358581699 | 3102.283770025 | 3235.7085336115 | 3403.3692570269 | 3569.8090554602 | 3696.2972616396 | 3885.0984198845 | 4094.0620856966 | |||||||||||||||||||||
Oil rents (% of GDP) | NY.GDP.PETR.RT.ZS | 0 | 4.7030475612 | 5.2665868076 | 7.1487145846 | 19.4081333675 | 14.5661100803 | 15.2455436161 | 14.8513305662 | 12.7038650836 | 30.3481160526 | 24.7761397738 | 19.6573118061 | 13.6434001506 | 13.2840356072 | 13.8842724999 | 11.2040492354 | 5.2367468706 | 7.456062479 | 4.3029332704 | 5.2725062566 | 7.0103528151 | 5.4377134079 | 4.4866749985 | 3.4462095106 | 3.0409614346 | 2.9706121304 | 3.3311964292 | 3.2070279514 | 3.6052086141 | 3.6838129424 | 5.8980072569 | 4.5294276031 | 3.4912526888 | 3.222213751 | 3.8813120103 | 5.1179754034 | 4.5854834627 | 4.0252828022 | 4.8499713061 | 2.3585656976 | 2.4224112784 | ||||||||||||
Total natural resources rents (% of GDP) | NY.GDP.TOTL.RT.ZS | 12.0277230688 | 17.2924357394 | 16.9576023707 | 17.4927376517 | 27.6160614181 | 21.0030259138 | 21.0312791059 | 20.2874588763 | 18.8165926066 | 38.536003331 | 31.9072103537 | 25.1790557359 | 18.7089393841 | 18.8079200233 | 19.7338612302 | 16.5062420562 | 10.9081594367 | 13.5201463784 | 10.3781155035 | 10.6129974407 | 12.5712368189 | 10.6836129009 | 9.2986253827 | 8.6553253406 | 7.6445975355 | 7.3994930444 | 7.9693139525 | 7.7153709019 | 11.6628128205 | 8.8255925522 | 13.7551256288 | 11.6422861571 | 8.7438649907 | 9.7469414983 | 10.5565087197 | 14.1336687881 | 12.2772426049 | 11.4627202506 | 11.6967176387 | 6.2258960757 | 5.9513147772 | ||||||||||||
Gross domestic savings (current US$) | NY.GDS.TOTL.CD | 153590409.977595 | 515735699.638145 | 794562786.159509 | 1382139696.39452 | 1708686810.26945 | 2695113202.42892 | 3986787019.56627 | 7856621178.13976 | 8567340305.88916 | 10662085634.4675 | 14051090214.8626 | 14711871567.407 | 18099329506.5191 | 29673807784.2506 | 29324912838.9387 | 27469372206.4759 | 25442558254.8111 | 26584110309.4203 | 25947344511.7111 | 22854758991.0101 | 24092709823.1936 | 27995019956.9367 | 35959458575.8271 | 36917855234.8969 | 42614699822.755 | 46480154076.8539 | 51296388272.6746 | 56964662436.5651 | 61840028988.3513 | 68383382908.8363 | 67908874381.0514 | 25316970051.2936 | 27232706910.293 | 54066557095.179 | 49434230040.4202 | 54197693719.5453 | 77327747453.4851 | 73785280860.7791 | 83553702167.8351 | 112333377568.166 | 125180646646.975 | 147314812485.788 | 182331137619.659 | 242521809374.691 | 289466428112.636 | ||||||||
Gross domestic savings (current LCU) | NY.GDS.TOTL.CN | 50981260 | 48126796 | 101903800 | 367217312 | 1161758848 | 1974000128 | -7510243328 | 22974513152 | 152808357888 | 259027468288 | 504480989184 | 672231587840 | 1118471979008 | 1654516613120 | 3260497788928 | 3555446226944 | 4424765538304 | 5831202439168 | 6503382646784 | 11276968198144 | 18605180452864 | 18526307221504 | 18168791695360 | 23133900767232 | 27273700573184 | 28816600727552 | 29312601030656 | 39604800454656 | 47191203774464 | 63650401353728 | 68032594968576 | 83112299069440 | 94350996406272 | 107060696973312 | 123086394359808 | 139053495222272 | 160174401126400 | 197572712988672 | 253514001416192 | 213916995026944 | 455336400000000 | 507237200000000 | 504645100000000 | 663250360000000 | 659555529000000 | 810867138350000 | 1.02889694812958E+15 | 1.144276291E+15 | 1.42875627926341E+15 | 1.89440958E+15 | 2.20462834E+15 | 2.53874601E+15 | |
Gross domestic savings (constant LCU) | NY.GDS.TOTL.KN | 20951460741120 | 16708928536576 | 23770370670592 | 18228394852352 | 19760322445312 | 18299263909888 | 12803873177600 | 5393260478464 | 13706940383232 | 14455408689152 | 29868253249536 | 37876041515008 | 53692136947712 | 66975074091008 | 113823193235456 | 93973968322560 | 101011716833280 | 136111624028160 | 135416535580672 | 198374221414400 | 300759547641856 | 244945843650560 | 216664893292544 | 198802359189504 | 247485259841536 | 248520900608000 | 234846966251520 | 272821154480128 | 301670818906112 | 345907639877632 | 382201287933952 | 432011063853056 | 511068191326208 | 511068191326208 | 561778803081216 | 566612218347520 | 597182587600896 | 593978005127168 | 427355889729536 | 383169735950336 | 455336400000000 | 467790900000000 | 464586600000000 | 526069550000000 | 517401983000000 | 580919931620000 | 606397049109880 | 625983736049210 | 694928291864070 | 731740560000000 | 807539240000000 | 902225380000000 | |
Gross domestic savings (% of GDP) | NY.GDS.TOTL.ZS | 12.374092233 | 9.7029830645 | 7.2323488553 | 10.8451653313 | 15.4325032944 | 7.8896886803 | -2.2529602768 | 2.5680406148 | 6.9065300102 | 9.0301923991 | 14.3126944952 | 17.3486277498 | 23.2235550595 | 23.2178962044 | 28.855239349 | 26.6497226242 | 27.1102082838 | 29.033491532 | 27.0946050793 | 32.83466823 | 38.0369033545 | 31.7115635349 | 29.002084883 | 29.8029707374 | 30.3428492038 | 29.7088149014 | 28.5468039768 | 31.7303188772 | 31.5303179806 | 35.4436828873 | 32.2633794319 | 33.2490948394 | 33.4110122844 | 32.464661065 | 32.2030474514 | 30.5938787228 | 30.0758595036 | 31.4758910272 | 26.5250402739 | 19.4517455858 | 32.7634380339 | 30.8103275058 | 27.6998489544 | 32.9373163457 | 28.7284598347 | 29.2280086866 | 30.8125231081 | 28.9624708408 | 28.8714132833 | 33.7913101776 | 34.2531943005 | 34.1822618184 | |
Gross domestic income (constant 2000 US$) | NY.GDY.TOTL.KD | 12234000000 | 12220000000 | 14327000000 | 13531000000 | 13333000000 | 13437000000 | 13215000000 | 13633000000 | 15965000000 | 16374000000 | 17667000000 | 18797000000 | 19395000000 | 21546000000 | 29365000000 | 30357000000 | 31022000000 | 35058000000 | 39243000000 | 47734000000 | 59834000000 | 69057000000 | 68379000000 | 69848000000 | 76553000000 | 80823000000 | 79308000000 | 83247000000 | 84258000000 | 93472000000 | 105760000000 | 113990000000 | 121820000000 | 130210000000 | 140660000000 | 153720000000 | 166640000000 | 179460000000 | 160110000000 | 155500000000 | 165020000000 | 169420000000 | 173600000000 | 183160000000 | 191320000000 | 200140000000 | 216150000000 | 225930000000 | 254720000000 | 326660000000 | |||
Gross domestic income (constant LCU) | NY.GDY.TOTL.KN | 103029421649521 | 102917453481819 | 120656584042051 | 113952785972857 | 112283811402532 | 113161149300759 | 111291156173865 | 114814810841219 | 134451900065520 | 137899886705419 | 148785763220721 | 158306848498392 | 163339633890829 | 181457807031151 | 247308958784714 | 255658221305335 | 261258719921536 | 295252702120019 | 330491591622502 | 402001382728354 | 503904975975710 | 581579391831722 | 575871605472118 | 588242146388151 | 644714118997533 | 680674981706992 | 667909637627676 | 701089898523476 | 709604097584058 | 787198614025382 | 890698181678287 | 959995918026703 | 1.02590642590651E+15 | 1.09663961155623E+15 | 1.18463300853232E+15 | 1.29461172322931E+15 | 1.40339250892909E+15 | 1.51136706320234E+15 | 1.34841648516065E+15 | 1.30956901984671E+15 | 1.3897699E+15 | 1.42683395180639E+15 | 1.46203231828847E+15 | 1.54255328649425E+15 | 1.61121408082107E+15 | 1.68555809089873E+15 | 1.82019935338965E+15 | 1.90005275263682E+15 | 1.91410218627303E+15 | 2.04824227988562E+15 | 2.13152761597709E+15 | 2.23842510588029E+15 | |
GNI, Atlas method (current US$) | NY.GNP.ATLS.CD | 8425358929.36955 | 9796107792.47064 | 10680285378.0051 | 11802079377.1728 | 15209706231.9474 | 21869855930.4256 | 30598315922.6487 | 38041080896.3058 | 44835448129.3311 | 54591679573.6723 | 61024935183.4625 | 74102765957.1954 | 86645076759.5626 | 90819836744.6753 | 90787472747.5009 | 88577760121.9473 | 85747246219.281 | 87675868080.3365 | 87687513795.4481 | 92511339762.3061 | 99094091478.5188 | 111035558985.195 | 112328990877.248 | 125833407541.248 | 151872354647.193 | 170560814172.852 | 194813951294.246 | 218091673282.729 | 222423770191.862 | 135080246894.207 | 119650728524.11 | 119461981087.737 | 143150068614.696 | 156660007999.405 | 198234188577.126 | 241393114380.276 | 276758976902.114 | 315565148800.701 | 371908891938.149 | 457094695997.876 | 512970954634.876 | 600129325480.892 | 712737211853.421 | ||||||||||
GNI (current US$) | NY.GNP.MKTP.CD | 6029094552.17759 | 7509247489.51033 | 8856350091.77914 | 9697862866.41096 | 9856336207.74678 | 11459372922.7566 | 16872771593.8699 | 26467950730.1783 | 31334457640.0964 | 38847711868.6072 | 47587471547.5277 | 53252798845.1138 | 52740185507.9514 | 74806298371.9457 | 89426993474.0305 | 90125190381.0369 | 81876470289.045 | 82499953788.1101 | 82776570562.1586 | 76004241017.966 | 71904371777.5841 | 84681738711.9619 | 96893883450.839 | 109208755903.079 | 111033521716.2 | 121895291970.841 | 151992470232.231 | 172149167358.134 | 196187842940.741 | 221276439898.601 | 209439968859.367 | 90063495459.3717 | 129337748223.759 | 150317437984.54 | 143412003490.969 | 172377758116.178 | 225746848314.878 | 245051229529.877 | 271957828699.404 | 349037826573.882 | 414441364730.336 | 492111613379.175 | 520694426985.141 | 688119221076.37 | 822695588767.184 | ||||||||
GNI (current LCU) | NY.GNP.MKTP.CN | 416000000 | 500000000 | 1426999936 | 3408999936 | 7545999872 | 25323999232 | 334616002560 | 901850005504 | 2224929898496 | 2887170129920 | 3539719946240 | 3877679923200 | 4755639762944 | 7002200211456 | 10984199553024 | 13003799920640 | 16121800425472 | 19748800692224 | 23540399079424 | 32860299853824 | 46902800285696 | 56496398270464 | 59610601881600 | 74447000174592 | 84639997755392 | 91930000097280 | 97480003813376 | 118199999791104 | 142748002811904 | 171507993018368 | 201250993864704 | 216550892109824 | 247437696434176 | 317223499464704 | 371971313369088 | 441148002795520 | 518295815979008 | 609340432056320 | 901859782950912 | 1.01596740032922E+15 | 1.2659397E+15 | 1.471529E+15 | 1.6050423E+15 | 1.9362607E+15 | 2.19047608736E+15 | 2.6392806134E+15 | 3.19694789134E+15 | 3.788408515E+15 | 4.77282322021607E+15 | 5.40998385471E+15 | 6.25530190458E+15 | 7.21539681491E+15 | |
GNI (constant 2000 US$) | NY.GNP.MKTP.KD | 18112269870.6157 | 19195667535.2328 | 19636664904.5883 | 19112294578.9221 | 19711160555.1733 | 20025589135.4204 | 20481167691.9447 | 20772001409.656 | 23237518331.6338 | 24987155951.3498 | 26982631024.752 | 28805100688.9294 | 30826610350.2805 | 33741487303.8325 | 36177332143.3575 | 38466101631.1528 | 41184958986.4412 | 44598557828.3159 | 48575141633.6163 | 50888201474.6918 | 55238520473.957 | 59913019435.0043 | 59540242136.8914 | 65246263386.9287 | 68640984643.0652 | 71387051732.4985 | 76021660041.5425 | 79930388600.1297 | 85781150765.6782 | 93621327663.4186 | 101797835059.832 | 101198351026.24 | 109772018062.02 | 128597879522.806 | 139783549053.829 | 151061548274.185 | 163009359789.639 | 170118026624.773 | 143405217224.309 | 141823927773.084 | 150317437984.54 | 160732626365.026 | 169331570762.783 | 175942584302.69 | 183423359245.625 | 193426607772.57 | 205242693401.323 | 218716792055.71 | 233399059177.488 | 244246272811.254 | 261179810202.044 | 278028956213.335 | |
GNI growth (annual %) | NY.GNP.MKTP.KD.ZG | 5.9815675912 | 2.2973797006 | -2.6703634666 | 3.1334070003 | 1.5951804531 | 2.2749820414 | 1.4200055489 | 11.8694240066 | 7.5293652048 | 7.9860031982 | 6.7542326117 | 7.0178878497 | 9.4557167344 | 7.2191389123 | 6.3265292165 | 7.0681905366 | 8.2884599764 | 8.9163955046 | 4.7618180067 | 8.548777267 | 8.4623898702 | -0.6221974817 | 9.5834700116 | 5.2029358923 | 4.0006231025 | 6.4922254058 | 5.1415985345 | 7.3198219951 | 9.1397432044 | 8.7335947914 | -0.5888966433 | 8.4721410466 | 17.1499638917 | 8.6981757184 | 8.068187778 | 7.9092341181 | 4.3608948862 | -15.702515442 | -1.1026721913 | 5.9887709675 | 6.9287958338 | 5.3498437699 | 3.9041824924 | 4.2518273632 | 5.4536393664 | 6.1088212035 | 6.5649589913 | 6.7129126135 | 4.647496726 | 6.9329767844 | 6.4511671091 | ||
GNI (constant LCU) | NY.GNP.MKTP.KN | 156353304105104 | 165705682671274 | 169512571387759 | 164985969610166 | 170155651531420 | 172869941224425 | 176802701342336 | 179313309512055 | 200596766518384 | 215700429658529 | 232926272869489 | 248658655152934 | 266109240700216 | 291271776704997 | 312299090877528 | 332056784104720 | 355527190294917 | 384994919167616 | 419322588833043 | 439289967374134 | 476843888241325 | 517196277136620 | 513978294925022 | 563235250685417 | 592540019701358 | 616245312621255 | 656253347369435 | 689995259860291 | 740501684656928 | 808181637058639 | 878764946417509 | 873589929145800 | 947601700111955 | 1.11011504951794E+15 | 1.20667480720135E+15 | 1.30403159651566E+15 | 1.40717050845827E+15 | 1.46853573520209E+15 | 1.23793868460998E+15 | 1.22428827898927E+15 | 1.2976081E+15 | 1.38751671597132E+15 | 1.46174669255678E+15 | 1.51881595101152E+15 | 1.58339338321354E+15 | 1.66974594808503E+15 | 1.77174774260564E+15 | 1.88806225533657E+15 | 2.01480622462602E+15 | 2.10844427795057E+15 | 2.25462223025309E+15 | 2.40007167800501E+15 | |
GNI, PPP (current international $) | NY.GNP.MKTP.PP.CD | 91344858643.8479 | 108965859786.111 | 115006414406.904 | 130686297564.923 | 142677010364.11 | 153135777726.486 | 166172704987.01 | 179661559576.093 | 199147770506.282 | 225721265370.775 | 255199806075.451 | 260901368875.808 | 288895885008.062 | 347624876877.189 | 385908993863.392 | 426901888601.497 | 468923048334.116 | 499170225489.287 | 427440477404.895 | 427976281695.396 | 452326502481.105 | 470450363645.723 | 492433381542.167 | 575012655900.708 | 616113542265.764 | 670844893054.58 | 735230241867.56 | 805791583324.901 | 878228582428.38 | 931495585340.095 | 1003297912932.44 | 1091447849329.3 | |||||||||||||||||||||
GNI per capita, Atlas method (current US$) | NY.GNP.PCAP.CD | 70 | 80 | 90 | 90 | 120 | 170 | 230 | 280 | 320 | 380 | 410 | 490 | 560 | 580 | 560 | 540 | 510 | 510 | 500 | 520 | 550 | 600 | 600 | 660 | 780 | 870 | 980 | 1080 | 1080 | 650 | 570 | 560 | 660 | 720 | 890 | 1070 | 1220 | 1370 | 1600 | 1950 | 2160 | 2500 | 2940 | ||||||||||
GNI per capita (constant 2000 US$) | NY.GNP.PCAP.KD | 196.9868108965 | 203.7199306677 | 203.3154822385 | 193.0179379991 | 194.1244247278 | 192.2825197971 | 191.6997692634 | 189.5035097755 | 206.6273327819 | 216.5657747447 | 227.9675089666 | 237.263061899 | 247.5878958202 | 264.3026888435 | 276.4510230428 | 286.8337200189 | 299.7840801752 | 317.0031654736 | 337.2647911 | 345.2301945885 | 366.2545044342 | 388.3510149565 | 377.4139889878 | 404.6388205152 | 416.746212362 | 424.6216250785 | 443.3464769001 | 457.3530200972 | 481.8981677423 | 516.6800416213 | 552.2108900909 | 539.8633196707 | 576.1934364277 | 664.500446591 | 711.4084919468 | 757.5791948588 | 805.9514793433 | 829.5871921213 | 689.981279739 | 673.3935008771 | 704.4080155245 | 743.4321234784 | 773.1104461455 | 793.1085062689 | 816.6430353961 | 850.9630706767 | 892.6756717949 | 940.8721900235 | 993.3939680819 | 1028.7757401302 | 1088.834743669 | 1147.3361156005 | |
GNI per capita growth (annual %) | NY.GNP.PCAP.KD.ZG | 3.4180561331 | -0.1985315958 | -5.0648106706 | 0.5732559057 | -0.9488269873 | -0.3030699485 | -1.1456766465 | 9.0361508484 | 4.8098389642 | 5.2647904478 | 4.0775779735 | 4.3516398375 | 6.7510541935 | 4.5963717783 | 3.75570937 | 4.5149364432 | 5.7438291214 | 6.3916161834 | 2.3617655026 | 6.0899394593 | 6.0331027345 | -2.8162733062 | 7.2135194566 | 2.9921478694 | 1.8897382827 | 4.409773482 | 3.1592769824 | 5.366783768 | 7.2176812877 | 6.8767603947 | -2.2360244323 | 6.7295027155 | 15.3259312898 | 7.0591442935 | 6.4900410151 | 6.3851125813 | 2.9326471114 | -16.8283591777 | -2.404091147 | 4.6057044814 | 5.5399863565 | 3.9920689098 | 2.5867015797 | 2.9673782265 | 4.2025749064 | 4.9018109664 | 5.3991073972 | 5.5822436475 | 3.561705948 | 5.837910168 | 5.372842139 | ||
GNI per capita (constant LCU) | NY.GNP.PCAP.KN | 1700479.23141642 | 1758602.56607796 | 1755111.18434039 | 1666218.12579528 | 1675769.81960324 | 1659869.66331054 | 1654839.09717716 | 1635879.99210325 | 1783700.57588923 | 1869493.70119276 | 1967918.62699458 | 2048162.04346539 | 2137290.67888513 | 2281580.33088907 | 2386450.24531739 | 2476078.38079221 | 2587871.74596771 | 2736514.67693657 | 2911422.19188941 | 2980183.15685165 | 3161674.50688004 | 3352421.57801175 | 3258008.22399753 | 3493025.28113197 | 3597541.76265879 | 3665525.88658239 | 3827167.27510454 | 3948078.08990653 | 4159962.90398416 | 4460215.76808103 | 4766934.11953875 | 4660344.30795437 | 4973962.30470825 | 5736268.34990852 | 6141199.80979109 | 6539766.19626339 | 6957337.63045087 | 7161371.79149868 | 5956230.42437581 | 5813037.21605048 | 6080768.53161571 | 6417642.27863544 | 6673838.98078562 | 6846471.2791293 | 7049631.97714647 | 7345898.04161352 | 7705980.07739516 | 8122034.21777864 | 8575425.95694603 | 8880857.41332081 | 9399313.89125766 | 9904324.18878026 | |
1 | 1.0341805613 | 1.0321273862 | 0.9798520882 | 0.9854691481 | 0.9761187509 | 0.9731604283 | 0.9620111565 | 1.0489399358 | 1.0993922576 | 1.1572729561 | 1.2044616633 | 1.2568754969 | 1.3417278428 | 1.4033986427 | 1.456106217 | 1.5218484873 | 1.6092608639 | 1.7121186417 | 1.7525548691 | 1.8592843996 | 1.9714569376 | 1.9159353221 | 2.0541416894 | 2.1156046461 | 2.1555840371 | 2.2506404103 | 2.3217443747 | 2.446347375 | 2.6229169317 | 2.8032886444 | 2.7406064254 | 2.9250356093 | 3.3733245569 | 3.6114524049 | 3.8458371472 | 4.0913981788 | 4.2113844493 | 3.5026775478 | 3.418469987 | 3.5759146123 | 3.774019794 | 3.9246812648 | 4.0262010571 | 4.1456736706 | 4.319898712 | 4.5316519808 | 4.7763207381 | 5.0429465991 | 5.2225615281 | 5.5274499786 | 5.8244311402 | |||
GNI per capita, PPP (current international $) | NY.GNP.PCAP.PP.CD | 610 | 710 | 730 | 810 | 870 | 910 | 970 | 1030 | 1120 | 1250 | 1380 | 1390 | 1520 | 1800 | 1960 | 2140 | 2320 | 2430 | 2060 | 2030 | 2120 | 2180 | 2250 | 2590 | 2740 | 2950 | 3200 | 3470 | 3740 | 3920 | 4180 | 4500 | |||||||||||||||||||||
Gross savings (current US$) | NY.GNS.ICTR.CD | 26528027481.2502 | 23013398773.2535 | 22063826664.7584 | 21638624900.2544 | 21473040743.7954 | 19057342397.086 | 20324463885.7659 | 24143135359.2392 | 31737144240.8828 | 32118113092.9806 | 25742221692.4354 | 29830175995.2493 | 45819008626.0059 | 52840681551.2095 | 56876839084.9337 | 63227151458.0884 | 62633988593.7144 | 21401268836.7052 | 18482702606.8312 | 41179382818.2105 | 33919285893.0762 | 32654878364.9382 | 70170846301.3691 | 63138459033.2531 | 74435872878.5721 | 101663743754.455 | 112509273602.451 | 134545501164.988 | 168023157759.252 | 227244485568.731 | 269541924601.902 | ||||||||||||||||||||||
Gross savings (current LCU) | NY.GNS.ICTR.CN | 16759346900617.4 | 15221521823310 | 20061755248665.3 | 22199929562278.8 | 23847528645604.8 | 24442186181447.8 | 33410369462413.6 | 40698082096205.7 | 56176651394615.3 | 59187581870796.2 | 50205568428551.7 | 60552872167172.8 | 95628857377849.4 | 114175502661776 | 127893265920761 | 148096959947544 | 182226066394860 | 214303737263361 | 145184399577099 | 346803512819531 | 348040691406250 | 304055822803752 | 601864668292368 | 564385189865934 | 722380955788066 | 931170396090979 | 1.02844727E+15 | 1.30491107032882E+15 | 1.74575052772917E+15 | 2.06575084643018E+15 | 2.36399948025934E+15 | ||||||||||||||||||||||
Gross savings (% of GNI) | NY.GNS.ICTR.GN.ZS | 29.6644519185 | 25.5349238941 | 26.9477013199 | 26.2286509346 | 25.9409644516 | 25.0740513185 | 28.2659640621 | 28.5104388815 | 32.754538378 | 29.4098333301 | 23.1841891481 | 24.4719673032 | 30.1455779724 | 30.6947064352 | 28.9910109782 | 28.5738289567 | 29.9054611853 | 23.7624230856 | 14.2902616295 | 27.3949472332 | 23.6516365907 | 18.9437887589 | 31.0838653231 | 25.7654120546 | 27.3703732798 | 29.1268556054 | 27.1472114459 | 27.3404442218 | 32.2690524521 | 33.0239991281 | 32.7632636278 | ||||||||||||||||||||||
Gross savings (% of GDP) | NY.GNS.ICTR.ZS | 28.6870495932 | 24.2974808325 | 25.8451832501 | 24.6981194663 | 24.5858913439 | 23.8036296048 | 26.767504562 | 27.1920054387 | 31.281930284 | 28.0687722177 | 20.0847494876 | 21.4426220485 | 28.9981153736 | 29.8716941797 | 28.1384589491 | 27.8080849934 | 29.0309715416 | 22.4224903951 | 13.201802892 | 24.9540238869 | 21.1404993316 | 16.6895514597 | 29.8888748087 | 24.5830965634 | 26.0384912055 | 27.8858921676 | 26.0307535015 | 26.3688267595 | 31.139621652 | 32.0954620039 | 31.8294342382 | ||||||||||||||||||||||
Gross national income (constant LCU) | NY.GNY.TOTL.KN | 104277746265713 | 103991948445531 | 122512514672195 | 114896382934649 | 112618921186084 | 114845165240343 | 111796977833001 | 115945833881731 | 135361580771056 | 139014581189387 | 149573524159729 | 158452353868504 | 160716908598797 | 177430465166191 | 239313057701066 | 248013928201719 | 257423329068416 | 289497801410643 | 323067552431974 | 382650258678434 | 482209800123678 | 561466269699754 | 549869326105462 | 561187583256759 | 605246242645533 | 643801525648624 | 632284431605532 | 662180795738964 | 675390329383866 | 750582814061734 | 849343459923151 | 914609853564879 | 977461484897616 | 1.0236035333042E+15 | 1.14932781951676E+15 | 1.23381079884403E+15 | 1.35808337219693E+15 | 1.45525896101328E+15 | 1.24694227920251E+15 | 1.22921413277291E+15 | 1.2976367E+15 | 1.36062335180639E+15 | 1.40567531828847E+15 | 1.46132248649425E+15 | 1.53074594596731E+15 | 1.57817641300018E+15 | 1.70634188052035E+15 | 1.77948909761136E+15 | 1.81750667494991E+15 | 1.93842301118562E+15 | 2.03853561207709E+15 | 2.14197213598029E+15 | |
Net income from abroad (current US$) | NY.GSR.NFCY.CD | 48254175.4565327 | 41884010.6625182 | 57392649.4233129 | 41122852.4712329 | 7218254.931308 | -145711636.973494 | -298409569.46506 | -759760269.262651 | -813495367.556627 | -480962861.031325 | -808671917.956627 | -1045359494.4118 | -2382434826.50225 | -3206907665.62379 | -3046885357.68846 | -4589973433.22235 | -3492731590.05267 | -5112485409.16593 | -4562303767.91573 | -4056416593.92414 | -4025245937.42774 | -4105884597.69747 | -4561314334.94429 | -5217742141.91638 | -17134478130.3196 | -17220978081.6046 | -6014379646.6687 | -4742980885.35555 | -5944189903.41755 | -6093231450.74794 | -6308885787.33701 | -5382052557.98317 | -10663604303.4625 | -10943274514.6104 | -5949916656.4355 | -5854578390.83932 | -9025615166.78159 | -11785645496.2068 | -13910775164.5257 | -15532699423.171 | -17775373046.7126 | -18132935580.7916 | -18885532067.5576 | -19907619418.5829 | -24136694158.0234 | ||||||||
Net income from abroad (current LCU) | NY.GSR.NFCY.CN | 4000000 | 4000000 | 17999872 | 22999808 | 17999872 | 303998976 | 1265991680 | 7218003968 | 12409896960 | 18710003712 | 15009841152 | 2839805952 | -60470329344 | -123839971328 | -315300511744 | -337600577536 | -199599587328 | -335598845952 | -462101151744 | -1484399837184 | -2010699005952 | -1924900323328 | -3035900149760 | -3175801159680 | -5245102981120 | -5066803118080 | -5202597904384 | -6616900435968 | -6921289465856 | -8073800318976 | -9615307702272 | -33417714466816 | -34957208584192 | -12552612347904 | -10248395948032 | -13366105997312 | -14272176324608 | -18354945392640 | -53893719392256 | -83764210302976 | -92161800000000 | -61051200000000 | -54513100000000 | -77413900000000 | -105350112640000 | -135000486600000 | -142268908660000 | -162484685020000 | -175865177000000 | -196219545049999 | -180968887150000 | -211689267000000 | |
Net income from abroad (constant LCU) | NY.GSR.NFCY.KN | 1248324616192 | 1074494963712 | 1855930630144 | 943596961792 | 335109783552 | 1684015939584 | 505821659136 | 1131023040512 | 909680705536 | 1114694483968 | 787760939008 | 145505370112 | -2622725292032 | -4027341864960 | -7995901083648 | -7644293103616 | -3835390853120 | -5754900709376 | -7424039190528 | -19351124049920 | -21695175852032 | -20113122131968 | -26002279366656 | -27054563131392 | -39467876352000 | -36873456058368 | -35625206022144 | -38909102784512 | -34213768200192 | -36615799963648 | -41354721755136 | -45386064461824 | -48444941008896 | -73036078252032 | -35305189015552 | -60800924385280 | -45309136732160 | -56108102189056 | -101474205958144 | -80354887073792 | -92133200000000.3 | -66210600000000.3 | -56357000000000 | -81230800000000 | -80468134853760 | -107381677898550 | -113857472869300 | -120563655025460 | -96595511323120 | -109819268700000 | -92992003900000.3 | -96452969900000 | |
Net taxes on products (current US$) | NY.TAX.NIND.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net taxes on products (current LCU) | NY.TAX.NIND.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net taxes on products (constant LCU) | NY.TAX.NIND.KN | 42933034156032 | 53776127885312 | 53833963143168 | 55838920146944 | 63011125460992 | 67885988839424 | 71248138731520 | 74920998469632 | 72196319870976 | 83861358772224 | 5972769112064 | 19862703308800 | |||||||||||||||||||||||||||||||||||||||||
Net current transfers from abroad (current US$) | NY.TRF.NCTR.CD | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net current transfers from abroad (current LCU) | NY.TRF.NCTR.CN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Net current transfers from abroad (constant LCU) | NY.TRF.NCTR.KN | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Terms of trade adjustment (constant LCU) | NY.TTF.GNFS.KN | -52343218098575.3 | -61940554430628.8 | -47349651675580.6 | -50268207825287.3 | -57605213826268 | -58336861274089.2 | -65095282158550.9 | -63555969490813.2 | -65384338282767.7 | -76878878409973 | -83501972947726.9 | -90234906189095.6 | -104793916107251 | -112888918230161 | -71341610672949.6 | -82695879721481.1 | -97356520225408.2 | -94334218287021.3 | -94958976794777.9 | -53624787049822 | 8525427766558 | 45835371876009.9 | 34212576689013.6 | 813429516470.719 | 15154121762333 | 29221791333615.8 | -22399585001700.3 | -25805734581419.9 | -63490686784581.8 | -56129623051098.3 | -28542864157489.1 | -41313094465587.3 | -47702119889588.6 | -54849307782782.6 | -53678943130783.3 | -47673333606267.6 | -41480526126009.4 | -1413162898909.5 | 34214743078602.9 | -15029764317133.8 | 0 | -13571748193606.9 | -43184081711525.9 | -34618013505747.3 | -45302719178928.5 | -65257109101273.5 | -26927346610351.9 | -64274547363183.5 | -168353913726967 | -130608090714376 | -182310347022908 | -224816858619710 | |
DEC alternative conversion factor (LCU per US$) | PA.NUS.ATLS | 149.5829925537 | 296.2919921875 | 326 | 365 | 393.4200134277 | 415 | 415 | 415 | 415 | 415 | 415 | 442.049987793 | 623.0599975586 | 626.9899902344 | 631.7600097656 | 661.4199829102 | 909.2600097656 | 1025.9399414063 | 1110.5799560547 | 1282.5600585938 | 1643.8499755859 | 1685.6999511719 | 1770.0600585938 | 1842.8100585938 | 1950.3199462891 | 2029.9200439453 | 2087.1000976563 | 2160.75 | 2248.6000976563 | 2342.3000488281 | 2909.3798828125 | 10013.599609375 | 7855.1499023438 | 8421.775390625 | 10260.849609375 | 9311.19140625 | 8577.1328125 | 8938.849609375 | 9704.7421875 | 9159.31640625 | 9141 | 9698.66 | 10389.94 | 9090.4333333333 | 8770.4333333333 | ||||||||
Official exchange rate (LCU per US$, period average) | PA.NUS.FCRF | 149.5833333333 | 296.2916666667 | 326 | 362.8333333333 | 391.875 | 415 | 415 | 415 | 414.999999999 | 414.999999999 | 414.999999999 | 442.0454166659 | 623.0554999991 | 626.9939999986 | 631.7566666642 | 661.4207499993 | 909.264833332 | 1025.9448333315 | 1110.5799999997 | 1282.5599999998 | 1643.8483333333 | 1685.7041666667 | 1770.0591666667 | 1842.8133333333 | 1950.3175 | 2029.9208333333 | 2087.1038666667 | 2160.753675 | 2248.607975 | 2342.2962916667 | 2909.38 | 10013.6225 | 7855.15 | 8421.775 | 10260.85 | 9311.1916666667 | 8577.1333333333 | 8938.85 | 9704.7416666667 | 9159.3166666667 | 9141 | 9698.9625 | 10389.9375 | 9090.4333333333 | 8770.4333333333 | ||||||||
PPP conversion factor, GDP (LCU per international $) | PA.NUS.PPP | 513.46951522 | 518.47797449 | 518.32414904 | 569.66186633 | 593.22800176 | 600.31693091 | 586.61862561 | 657.90367216 | 716.79438062 | 759.82204307 | 788.60167239 | 830.01056316 | 856.49436103 | 912.54544932 | 963.88350436 | 1033.3709327 | 1105.2897012 | 1220.7066867 | 2109.9072985 | 2373.887161 | 2798.7298844 | 3127.9155331 | 3259.4100241 | 3367.3357971 | 3555.3123525 | 3934.2635544 | 4348.2268673 | 4701.4744177 | 5434.6024665 | 5807.8470149 | 6234.740274 | 6610.8489007 | |||||||||||||||||||||
PPP conversion factor (GDP) to market exchange rate ratio | PA.NUS.PPPC.RF | 0.8189437203 | 0.820688183 | 0.7836535975 | 0.6265115151 | 0.5782287811 | 0.5405436391 | 0.4573810183 | 0.4002212379 | 0.4252206213 | 0.4292634249 | 0.4279343217 | 0.4255766162 | 0.4219350233 | 0.437231281 | 0.4460874716 | 0.4595618998 | 0.4718822005 | 0.4195762451 | 0.2107041804 | 0.3022077478 | 0.3323206515 | 0.3048398186 | 0.3500529505 | 0.3925945734 | 0.3977371259 | 0.4053959887 | 0.4747326847 | 0.5143282374 | 0.5603457041 | 0.5589875413 | 0.6858573233 | 0.7537653671 | |||||||||||||||||||||
PPP conversion factor, private consumption (LCU per international $) | PA.NUS.PRVT.PP | 803.57965094 | 817.63005641 | 843.20651256 | 913.25982879 | 966.99801137 | 977.90679034 | 1016.0064664 | 1070.2107964 | 1111.7198005 | 1128.5891726 | 1154.4457264 | 1211.8293186 | 1264.7222346 | 1347.4730304 | 1425.0988629 | 1516.9579291 | 1591.1952392 | 1651.7131191 | 2576.1118521 | 3037.4736868 | 3047.5567939 | 3304.6933079 | 3639.5257473 | 3793.107549 | 3924.8533972 | 4192.8254193 | 4594.2716795 | 4753.0580893 | 5024.8363553 | 5285.5004752 | 5467.1289696 | 5583.759928 | |||||||||||||||||||||
Real effective exchange rate index (2005 = 100) | PX.REX.REER | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, youth female (% of females ages 15-24) | SE.ADT.1524.LT.FE.ZS | 81.64840035 | 95.06925265 | 98.5421609 | 96.27236105 | 99.38240944 | 99.39658982 | |||||||||||||||||||||||||||||||||||||||||||||||
Ratio of young literate females to males (% ages 15-24) | SE.ADT.1524.LT.FM.ZS | 0.911343828 | 0.976047597 | 99.6713608 | 99.2217547 | 99.8442104 | 99.8458643 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, youth male (% of males ages 15-24) | SE.ADT.1524.LT.MA.ZS | 89.59121447 | 97.4022711 | 98.86707685 | 97.02747277 | 99.53747847 | 99.55003197 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, youth total (% of people ages 15-24) | SE.ADT.1524.LT.ZS | 85.43709166 | 96.207558 | 98.7054552 | 96.65104033 | 99.46010544 | 99.47374386 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, adult female (% of females ages 15 and above) | SE.ADT.LITR.FE.ZS | 57.69462777 | 75.27011869 | 86.79958907 | 88.78698384 | 89.10139087 | 89.67711674 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, adult male (% of males ages 15 and above) | SE.ADT.LITR.MA.ZS | 77.474998 | 88.02452107 | 94.03508227 | 95.15854388 | 95.38319348 | 95.64700578 | |||||||||||||||||||||||||||||||||||||||||||||||
Literacy rate, adult total (% of people ages 15 and above) | SE.ADT.LITR.ZS | 67.31267192 | 81.51985243 | 90.38478936 | 91.98227127 | 92.19230071 | 92.58169512 | |||||||||||||||||||||||||||||||||||||||||||||||
Ratio of female to male primary enrollment (%) | SE.ENR.PRIM.FM.ZS | 86.081 | 84.018 | 84.365 | 82.843 | 80.857 | 85.521 | 87.873 | 87.737 | 87.611 | 87.45 | 89.88 | 94.3 | 94.772 | 95.133 | 94.179 | 94.959 | 94.673 | 95.872 | 95.95 | 97.4 | 98.345 | 96.834 | 96.571 | 96.282 | 96.331 | 96.409 | 96.599 | 97.778 | 97.829 | 98.104 | 98.321 | 96.556 | 96.495 | 95.828 | 97.377 | 96.711 | 101.754 | ||||||||||||||||
Ratio of girls to boys in primary and secondary education (%) | SE.ENR.PRSC.FM.ZS | 80.629 | 80.031 | 79.913 | 78.647 | 77.205 | 81.588 | 83.566 | 83.536 | 83.776 | 83.812 | 85.711 | 89.657 | 89.97 | 90.328 | 91.584 | 92.206 | 92.955 | 93.731 | 92.125 | 92.964 | 92.882 | 92.978 | 96.013 | 97.769 | 98.07 | 98.263 | 98.582 | 97.318 | 97.892 | 97.549 | 97.983 | 97.614 | 101.098 | ||||||||||||||||||||
Ratio of female to male secondary enrollment (%) | SE.ENR.SECO.FM.ZS | 53.326 | 59.134 | 57.218 | 57.786 | 59.663 | 63.755 | 64.353 | 64.787 | 66.036 | 68.666 | 69.584 | 73.655 | 73.528 | 80.16 | 81.622 | 83.189 | 82.12 | 82.539 | 80.772 | 84.394 | 85.374 | 86.093 | 95.114 | 97.967 | 98.763 | 98.764 | 99.235 | 98.897 | 100.482 | 100.487 | 99.119 | 99.143 | 100.226 | ||||||||||||||||||||
Ratio of female to male tertiary enrollment (%) | SE.ENR.TERT.FM.ZS | 32.197 | 36.947 | 38.069 | 40.236 | 46.487 | 48.396 | 46.419 | 48.861 | 66.337 | 63.262 | 54.577 | 88.128 | 76.358 | 86.438 | 79.681 | 79.437 | 91.431 | 99.174 | 91.981 | 95.887 | 89.226 | ||||||||||||||||||||||||||||||||
School enrollment, preprimary (% gross) | SE.PRE.ENRR | 5.69631 | 5.49415 | 5.66888 | 5.27605 | 6.72405 | 6.7664 | 7.35015 | 8.38665 | 9.22982 | 10.79275 | 11.86299 | 14.505 | 13.12286 | 13.8841 | 13.90725 | 14.09172 | 14.06616 | 16.59247 | 17.10276 | 16.7768 | 17.45215 | 17.61189 | 18.24391 | 17.72264 | 18.36421 | 18.65808 | 18.4527 | 22.533 | 23.86137 | 24.22573 | 26.18979 | 27.80114 | 28.06964 | 33.25337 | 36.91868 | 43.44076 | 45.90642 | 47.76598 | 43.43366 | ||||||||||||||
School enrollment, preprimary, female (% gross) | SE.PRE.ENRR.FE | 5.61873 | 5.79985 | 6.0086 | 5.71494 | 7.52235 | 8.21135 | 10.2941 | 18.84498 | 19.23444 | 22.6023 | 24.30907 | 24.68514 | 27.22594 | 28.99708 | 29.29783 | 33.80717 | 37.53956 | 44.3624 | 46.38709 | 48.75808 | 43.99256 | ||||||||||||||||||||||||||||||||
School enrollment, preprimary, male (% gross) | SE.PRE.ENRR.MA | 5.77187 | 5.19608 | 5.33727 | 4.84694 | 5.94221 | 6.50486 | 8.18728 | 17.8988 | 18.10028 | 22.46605 | 23.42895 | 23.78202 | 25.18967 | 26.64748 | 26.88544 | 32.71957 | 36.32024 | 42.55278 | 45.44347 | 46.8107 | 42.89558 | ||||||||||||||||||||||||||||||||
Primary school starting age (years) | SE.PRM.AGES | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | 7 | ||||||||||
Primary completion rate, female (% of relevant age group) | SE.PRM.CMPT.FE.ZS | 93.90501 | 92.70116 | 91.22556 | 93.14285 | 94.99786 | 96.04809 | 97.57226 | 97.02482 | 95.94191 | 101.14018 | 100.59015 | 104.92544 | |||||||||||||||||||||||||||||||||||||||||
Primary completion rate, male (% of relevant age group) | SE.PRM.CMPT.MA.ZS | 92.66704 | 92.01678 | 94.79673 | 92.34093 | 94.3556 | 96.09123 | 96.29706 | 95.90205 | 95.73894 | 103.40563 | 101.99195 | 104.12447 | |||||||||||||||||||||||||||||||||||||||||
Primary completion rate, total (% of relevant age group) | SE.PRM.CMPT.ZS | 50.52433 | 51.75514 | 49.67472 | 48.0896 | 47.55733 | 52.04712 | 54.80664 | 63.95286 | 68.46612 | 73.59784 | 82.89185 | 92.17378 | 94.52164 | 93.9084 | 94.15788 | 94.41486 | 91.65257 | 88.69302 | 87.27169 | 90.76902 | 93.27322 | 93.27766 | 92.35427 | 93.03636 | 92.7356 | 94.6716 | 96.07001 | 96.92416 | 96.45408 | 95.83872 | 102.29208 | 101.30306 | 104.51802 | 108.79271 | |||||||||||||||||||
Primary education, duration (years) | SE.PRM.DURS | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | ||||||||||
Primary education, pupils | SE.PRM.ENRL | 14870220 | 15519557 | 16140125 | 16643900 | 16892010 | 17776617 | 18779943 | 19783270 | 22024819 | 25537053 | 27026488 | 27990275 | 29108580 | 29909188 | 29897115 | 29882556 | 29999990 | 30130564 | 29933790 | 29753576 | 29577704 | 29598790 | 29876196 | 29721859 | 29447990 | 29236283 | 28201934 | 28690131 | 28926377 | 29050834 | 29142093 | 29149746 | 28982708 | 29796705 | 29498266 | 29901051 | 30341821 | ||||||||||||||||
Primary education, pupils (% female) | SE.PRM.ENRL.FE.ZS | 45.6 | 45 | 45.1 | 44.65686 | 44.08009 | 45.49947 | 46.21545 | 46.21673 | 46.20685 | 46.15445 | 46.81442 | 47.98625 | 48.08851 | 48.16486 | 47.90072 | 48.09234 | 48.00035 | 48.2967 | 48.30095 | 48.66408 | 48.89424 | 48.49541 | 48.41517 | 48.32803 | 48.33018 | 48.33018 | 48.32745 | 48.62186 | 48.62113 | 48.67859 | 48.72238 | 48.26 | 48.23694 | 48.0562 | 48.44783 | 48.26759 | 49.52885 | ||||||||||||||||
Pupil-teacher ratio, primary | SE.PRM.ENRL.TC.ZS | 28.93 | 29.01937 | 29.43001 | 29.90001 | 29.47681 | 29.46432 | 30.34809 | 36.00107 | 37.17652 | 32.43212 | 31.57757 | 28.79975 | 27.55328 | 26.43857 | 25.2978 | 24.42609 | 23.96357 | 23.55995 | 23.27149 | 23.21946 | 23.4541 | 23.1926 | 23.05079 | 22.66127 | 22.34334 | 22.02891 | 22.44616 | 22.24524 | 20.90186 | 20.29418 | 20.12598 | 20.41336 | 20.30194 | 18.81593 | 17.48179 | 16.61194 | 15.96983 | ||||||||||||||||
School enrollment, primary (% gross) | SE.PRM.ENRR | 81.33843 | 82.57871 | 83.63544 | 83.96663 | 82.9432 | 85.042 | 87.71053 | 90.2089 | 98.14959 | 107.5542 | 112.03219 | 114.26794 | 117.12005 | 118.74434 | 117.30758 | 115.95576 | 115.10457 | 114.33488 | 112.4511 | 110.83585 | 109.25308 | 108.72088 | 109.51867 | 109.12067 | 108.68834 | 108.66381 | 106.44637 | 108.64418 | 109.75221 | 110.56415 | 111.44547 | 112.14914 | 112.29447 | 116.2834 | 115.5349 | 116.99583 | 118.12384 | ||||||||||||||||
School enrollment, primary, female (% gross) | SE.PRM.ENRR.FE | 75.17976 | 75.32015 | 76.45661 | 75.99361 | 74.06452 | 78.33125 | 81.98945 | 84.25906 | 91.60868 | 100.28591 | 106.00214 | 110.88005 | 113.94159 | 115.74879 | 113.75006 | 112.92155 | 111.91612 | 111.89457 | 110.09638 | 109.35644 | 108.32874 | 106.94779 | 107.58158 | 107.02401 | 106.62778 | 106.64736 | 104.57549 | 107.4041 | 108.52771 | 109.48815 | 110.48624 | 110.15052 | 110.25688 | 113.76321 | 113.97246 | 115.00541 | 119.16959 | ||||||||||||||||
School enrollment, primary, male (% gross) | SE.PRM.ENRR.MA | 87.33557 | 89.64718 | 90.62572 | 91.73257 | 91.59894 | 91.59294 | 93.30494 | 96.03632 | 104.56252 | 114.67843 | 117.93751 | 117.58243 | 120.22685 | 121.67017 | 120.78056 | 118.91619 | 118.2134 | 116.71255 | 114.74392 | 112.2757 | 110.15231 | 110.44496 | 111.40128 | 111.15738 | 110.68913 | 110.6202 | 108.25776 | 109.84439 | 110.93669 | 111.60447 | 112.37245 | 114.07983 | 114.26223 | 118.71649 | 117.04282 | 118.91609 | 117.11529 | ||||||||||||||||
Gross intake rate in grade 1, female (% of relevant age group) | SE.PRM.GINT.FE.ZS | 102.46162 | 102.91899 | 108.59329 | 104.44703 | 107.05963 | 111.92083 | 115.05072 | 110.8733 | 114.84153 | 118.24894 | 121.58815 | 121.43831 | 117.51716 | 113.65504 | |||||||||||||||||||||||||||||||||||||||
Gross intake rate in grade 1, male (% of relevant age group) | SE.PRM.GINT.MA.ZS | 108.41596 | 108.21482 | 111.40755 | 111.82346 | 112.76345 | 117.72457 | 114.63427 | 115.59369 | 118.95952 | 122.83113 | 127.1665 | 121.08196 | 120.59644 | 127.57609 | |||||||||||||||||||||||||||||||||||||||
Gross intake rate in grade 1, total (% of relevant age group) | SE.PRM.GINT.ZS | 89.38755 | 90.62958 | 99.29745 | 109.99213 | 112.33829 | 106.5021 | 118.87645 | 118.92514 | 126.71027 | 121.32925 | 124.08729 | 122.70759 | 107.63137 | 110.21596 | 114.10553 | 113.13815 | 108.69169 | 105.57755 | 104.49243 | 104.40737 | 106.06324 | 105.48503 | 105.60852 | 110.02312 | 108.19758 | 109.95989 | 114.87271 | 114.83885 | 113.27542 | 116.93746 | 120.58132 | 124.42808 | 121.25686 | 119.08535 | 120.74544 | ||||||||||||||||||
School enrollment, primary (% net) | SE.PRM.NENR | 68.17633 | 69.36963 | 69.17915 | 71.59494 | 74.49356 | 76.87885 | 83.52597 | 88.14738 | 94.90917 | 97.36771 | 96.78759 | 97.78576 | 97.13166 | 96.27058 | 97.19276 | 96.21186 | 94.64171 | 93.81072 | 93.06601 | 91.96741 | 92.56605 | 92.45652 | 91.44203 | 91.42139 | 90.10333 | 91.01602 | 91.18703 | 91.49998 | 91.80575 | 92.38541 | 95.4495 | 94.83228 | 95.70341 | 95.30961 | 96.4917 | ||||||||||||||||||
School enrollment, primary, female (% net) | SE.PRM.NENR.FE | 63.20265 | 64.37369 | 62.02292 | 66.86248 | 70.03677 | 78.89505 | 83.50473 | 90.8068 | 94.43318 | 94.62738 | 94.61059 | 94.17123 | 92.66929 | 91.87716 | 91.0007 | 90.10043 | 90.60538 | 90.43817 | 90.11896 | 90.13552 | 88.51969 | 90.3926 | 90.7226 | 90.59797 | 90.81147 | 90.73901 | |||||||||||||||||||||||||||
School enrollment, primary, male (% net) | SE.PRM.NENR.MA | 73.01976 | 74.23435 | 76.15569 | 76.21471 | 78.85167 | 88.06628 | 92.69802 | 98.92669 | 99.08892 | 97.87382 | 99.71044 | 98.20012 | 96.56228 | 95.69258 | 95.0752 | 93.78279 | 94.47159 | 94.41716 | 92.72671 | 92.66896 | 91.63661 | 91.61939 | 91.63628 | 92.37209 | 92.76661 | 93.97586 | |||||||||||||||||||||||||||
Net intake rate in grade 1, female (% of official school-age population) | SE.PRM.NINT.FE.ZS | 43.34434 | 45.31247 | 38.61167 | 36.20224 | 38.58143 | 40.51367 | 40.43596 | 47.8699 | 46.11029 | ||||||||||||||||||||||||||||||||||||||||||||
Net intake rate in grade 1, male (% of official school-age population) | SE.PRM.NINT.MA.ZS | 44.45462 | 46.4104 | 39.141 | 38.47167 | 39.95894 | 41.71236 | 37.14535 | 43.49261 | 43.11816 | ||||||||||||||||||||||||||||||||||||||||||||
Net intake rate in grade 1 (% of official school-age population) | SE.PRM.NINT.ZS | 43.90889 | 45.87089 | 38.88097 | 37.35711 | 39.28254 | 41.12382 | 38.76072 | 45.64102 | 44.58648 | ||||||||||||||||||||||||||||||||||||||||||||
School enrollment, primary, private (% of total primary) | SE.PRM.PRIV.ZS | 33.16994 | 34.42709 | 23.58844 | 20.74207 | 19.61239 | 19.14996 | 18.12676 | 17.47705 | 17.31277 | 17.61737 | 17.35275 | 17.42109 | 17.48324 | 17.57373 | 17.0694 | 17.09502 | 17.76747 | 17.69531 | 17.65192 | 17.30303 | 15.75903 | 15.86492 | 15.97075 | 16.14265 | 16.32233 | 16.64718 | 15.89865 | 18.19616 | 16.10968 | 16.37894 | 16.8167 | ||||||||||||||||||||||
Persistence to grade 5, female (% of cohort) | SE.PRM.PRS5.FE.ZS | 96.03622 | 96.07432 | 89.54048 | 99.00523 | 92.17947 | 89.87799 | 84.85074 | 89.31979 | |||||||||||||||||||||||||||||||||||||||||||||
Persistence to grade 5, male (% of cohort) | SE.PRM.PRS5.MA.ZS | 91.22414 | 95.59822 | 93.52713 | 90.13441 | 86.56546 | 88.29139 | 89.80897 | 83.12782 | |||||||||||||||||||||||||||||||||||||||||||||
Persistence to grade 5, total (% of cohort) | SE.PRM.PRS5.ZS | 59.98857 | 59.77086 | 51.48492 | 45.58419 | 45.31181 | 50.19643 | 51.20584 | 56.39151 | 58.39954 | 69.07997 | 74.61964 | 75.50647 | 84.48108 | 84.96098 | 83.73633 | 82.69486 | 82.73977 | 84.74279 | 88.20215 | 90.41437 | 90.75125 | 93.52492 | 95.82656 | 91.59145 | 94.32499 | 89.24789 | 89.07134 | 87.35284 | 86.08655 | 91.79967 | |||||||||||||||||||||||
Persistence to last grade of primary, female (% of cohort) | SE.PRM.PRSL.FE.ZS | 92.66709 | 92.18085 | 86.65673 | 88.71967 | 87.05085 | 80.90618 | 82.82456 | ||||||||||||||||||||||||||||||||||||||||||||||
Persistence to last grade of primary, male (% of cohort) | SE.PRM.PRSL.MA.ZS | 86.07519 | 86.68078 | 87.42234 | 83.30077 | 85.709 | 85.94947 | 77.36739 | ||||||||||||||||||||||||||||||||||||||||||||||
Persistence to last grade of primary, total (% of cohort) | SE.PRM.PRSL.ZS | 48.80955 | 49.28971 | 43.27563 | 37.98552 | 37.04645 | 42.94934 | 40.82066 | 49.55267 | 55.80332 | 61.72569 | 69.79971 | 80.29595 | 79.03026 | 77.5472 | 78.61904 | 79.70946 | 79.79753 | 79.90706 | 84.55328 | 87.00325 | 89.22695 | 89.31864 | 87.05061 | 85.88998 | 86.36936 | 83.44681 | 79.97704 | 91.79967 | |||||||||||||||||||||||||
Repeaters, primary, female (% of female enrollment) | SE.PRM.REPT.FE.ZS | 7.38841 | 7.01439 | 6.00173 | 6.15778 | 5.1141 | 3.76843 | 2.89004 | 3.58128 | 2.86538 | 2.65043 | 2.19344 | 2.71614 | 2.71795 | ||||||||||||||||||||||||||||||||||||||||
Repeaters, primary, male (% of male enrollment) | SE.PRM.REPT.MA.ZS | 7.82847 | 6.85512 | 5.70389 | 6.17471 | 5.50376 | 3.77519 | 2.88632 | 5.50875 | 4.45581 | 3.95185 | 3.58357 | 4.33093 | 3.88661 | ||||||||||||||||||||||||||||||||||||||||
Repeaters, primary, total (% of total enrollment) | SE.PRM.REPT.ZS | 11.99455 | 11.27244 | 10.713 | 10.72251 | 10.23375 | 10.98302 | 12.01716 | 8.30135 | 8.79037 | 9.58984 | 9.18013 | 9.30791 | 10.88517 | 10.06127 | 9.69671 | 9.62066 | 9.82815 | 9.67133 | 9.24859 | 8.98517 | 8.42126 | 7.6158 | 6.93209 | 5.84784 | 6.16648 | 5.31431 | 3.7719 | 2.88813 | 4.57855 | 3.68863 | 3.32644 | 2.91008 | 3.55151 | 3.30779 | |||||||||||||||||||
Trained teachers in primary education, female (% of female teachers) | SE.PRM.TCAQ.FE.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Trained teachers in primary education, male (% of male teachers) | SE.PRM.TCAQ.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Trained teachers in primary education (% of total teachers) | SE.PRM.TCAQ.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary education, teachers | SE.PRM.TCHR | 514007 | 534800 | 548424 | 556652 | 573061 | 603327 | 618818 | 549519 | 592439 | 787400 | 855876 | 971893 | 1056447 | 1131271 | 1181807 | 1223387 | 1251900 | 1278889 | 1286286 | 1281407 | 1261089 | 1276217 | 1296103 | 1311571 | 1317976 | 1327178 | 1256426 | 1289720 | 1383914 | 1431486 | 1447984 | 1427974 | 1427583 | 1583589 | 1687371 | 1799973 | 1899946 | ||||||||||||||||
Primary education, teachers (% female) | SE.PRM.TCHR.FE.ZS | 31.79996 | 36.49862 | 36.13615 | 36.55499 | 32.78242 | 49.30506 | 49.70134 | 49.95918 | 50.53687 | 50.47939 | 51.4284 | 52.05613 | 52.25443 | 52.26082 | 53.68291 | 52.23754 | 52.03871 | 54.08093 | 52.29685 | 61.02205 | 57.58028 | 59.0556 | 59.55412 | 59.96613 | |||||||||||||||||||||||||||||
Adjusted net enrollment rate, primary (% of primary school age children) | SE.PRM.TENR | 68.17633 | 69.36963 | 69.17915 | 71.59494 | 74.49356 | 76.87885 | 83.52597 | 88.14738 | 94.90917 | 97.36771 | 96.78759 | 97.78576 | 97.13166 | 96.27058 | 97.19276 | 96.21186 | 94.64171 | 93.81072 | 93.06601 | 91.96741 | 92.56605 | 92.45652 | 91.44203 | 91.42139 | 93.96285 | 95.18265 | 95.31033 | 95.85104 | 96.37284 | 95.08539 | 98.36876 | 98.00733 | 98.74353 | 98.43657 | 99.58862 | ||||||||||||||||||
Adjusted net enrollment rate, primary, female (% of primary school age children) | SE.PRM.TENR.FE | 63.20265 | 64.37369 | 62.02292 | 66.86248 | 70.03677 | 78.89505 | 83.50473 | 90.8068 | 94.43318 | 94.62738 | 94.61059 | 94.17123 | 92.66929 | 91.87716 | 91.0007 | 90.10043 | 90.60538 | 90.43817 | 90.11896 | 90.13552 | 92.29948 | 94.50965 | 94.87324 | 94.99368 | 95.40446 | 93.46369 | |||||||||||||||||||||||||||
Adjusted net enrollment rate, primary, male (% of primary school age children) | SE.PRM.TENR.MA | 73.01976 | 74.23435 | 76.15569 | 76.21471 | 78.85167 | 88.06628 | 92.69802 | 98.92669 | 99.08892 | 97.87382 | 99.71044 | 98.20012 | 96.56228 | 95.69258 | 95.0752 | 93.78279 | 94.47159 | 94.41716 | 92.72671 | 92.66896 | 95.57331 | 95.83402 | 95.73314 | 96.67997 | 97.30866 | 96.65198 | |||||||||||||||||||||||||||
Children out of school, primary | SE.PRM.UNER | 5980831 | 5911106 | 6276900 | 5937605 | 5461254 | 5070586 | 3696782 | 2814217 | 1228105 | 644787 | 798401 | 557721 | 731026 | 961096 | 731659 | 998284 | 1426344 | 1661494 | 1877216 | 2186838 | 2027947 | 2054663 | 2318695 | 2308097 | 1599485 | 1272138 | 1236013 | 1090144 | 948474 | 1277402 | 421016 | 510605 | 320801 | 399571 | 105670 | ||||||||||||||||||
Children out of school, primary, female | SE.PRM.UNER.FE | 3411907 | 3391870 | 3817993 | 3421688 | 3171846 | 2344588 | 1938670 | 1097290 | 683892 | 683759 | 693448 | 758041 | 962699 | 1075502 | 1201399 | 1328676 | 1263130 | 1283320 | 1318883 | 1306967 | 1003605 | 713088 | 664387 | 646619 | 590578 | 834772 | |||||||||||||||||||||||||||
Children out of school, primary, male | SE.PRM.UNER.MA | 2568924 | 2519236 | 2458907 | 2515917 | 2289408 | 1352194 | 875547 | 130815 | 114509 | 277337 | 38211 | 240243 | 463645 | 585992 | 675817 | 858162 | 764817 | 771343 | 999812 | 1001130 | 595880 | 559050 | 571626 | 443525 | 357896 | 442630 | |||||||||||||||||||||||||||
Secondary school starting age (years) | SE.SEC.AGES | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | 13 | ||||||||||
Secondary education, duration (years) | SE.SEC.DURS | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 | ||||||||||
Secondary education, pupils | SE.SEC.ENRL | 2459875 | 2640400 | 2783738 | 2965852 | 3189469 | 3570080 | 3833129 | 4084307 | 4467512 | 5721815 | 6320013 | 7222213 | 7445917 | 9479086 | 10906515 | 11545063 | 11693361 | 11243323 | 10965430 | 10920580 | 10969305 | 11360349 | 12223753 | 13095913 | 14209974 | 14263912 | 14828085 | 15140713 | 15872535 | 16353933 | 15993187 | 16797809 | 18716929 | 18314900 | 19520704 | 19975916 | |||||||||||||||||
Secondary education, pupils (% female) | SE.SEC.ENRL.FE.ZS | 34.16979 | 36.45042 | 35.68155 | 35.93338 | 36.69915 | 38.26668 | 38.49109 | 38.66245 | 39.1241 | 40.12543 | 40.48901 | 41.90338 | 41.88485 | 43.9857 | 44.41371 | 44.86594 | 44.52828 | 44.64785 | 44.10706 | 45.18278 | 45.45846 | 45.65486 | 48.07133 | 48.7841 | 48.98272 | 48.97066 | 49.07068 | 48.96249 | 49.33718 | 49.35088 | 49.00961 | 49.00622 | 49.25902 | ||||||||||||||||||||
Secondary education, general pupils | SE.SEC.ENRL.GC | 1815645 | 1955806 | 2102558 | 2246893 | 2400044 | 2709953 | 2881499 | 3088243 | 3371231 | 4879361 | 5475099 | 6328508 | 6511390 | 7042001 | 8311594 | 9532538 | 10048870 | 10223123 | 9757174 | 9510766 | 9506882 | 9538778 | 9919480 | 10631996 | 11430633 | 12442813 | 12210019 | 12894148 | 13113249 | 13772782 | 14155490 | 13829119 | 14565882 | 16315197 | 15575938 | 16425000 | 16656848 | ||||||||||||||||
Secondary education, general pupils (% female) | SE.SEC.ENRL.GC.FE.ZS | 37.09998 | 38.90509 | 37.36805 | 37.6021 | 38.99999 | 40.17922 | 40.49705 | 40.93739 | 41.28732 | 40.77911 | 40.80522 | 42.22321 | 41.94889 | 42.23755 | 44.13457 | 44.70038 | 45.05003 | 45.38672 | 45.44938 | 44.76075 | 45.943 | 45.90937 | 46.0964 | 48.97884 | 49.61616 | 49.90974 | 49.84946 | 49.96591 | 49.98712 | 50.47041 | 50.51358 | 50.36809 | 50.50236 | 50.80133 | |||||||||||||||||||
Pupil-teacher ratio, secondary | SE.SEC.ENRL.TC.ZS | 13.10005 | 13.63815 | 12.84415 | 13.43108 | 14.36685 | 16.10254 | 14.85468 | 15.66601 | 15.37848 | 15.26774 | 15.10553 | 14.82182 | 12.9166 | 13.54265 | 13.82294 | 14.0878 | 14.13826 | 14.27041 | 14.39865 | 15.7838 | 14.25666 | 13.58158 | 14.23421 | 14.20076 | 12.47833 | 12.26633 | 13.0443 | 11.95971 | 12.59356 | 12.17648 | |||||||||||||||||||||||
Secondary education, vocational pupils | SE.SEC.ENRL.VO | 644230 | 684594 | 681180 | 718959 | 789425 | 860127 | 951630 | 996064 | 1096281 | 842454 | 844914 | 893705 | 934527 | 1167492 | 1373977 | 1496193 | 1470238 | 1486149 | 1454664 | 1413698 | 1430527 | 1440869 | 1591757 | 1665280 | 1767161 | 2053893 | 1933937 | 2027464 | 2099753 | 2198443 | 2164068 | 2231927 | 2401732 | 2738962 | 3095704 | 3319068 | |||||||||||||||||
Secondary education, vocational pupils (% female) | SE.SEC.ENRL.VO.FE.ZS | 25.91155 | 29.43774 | 30.47594 | 30.7183 | 29.70403 | 32.24094 | 32.41712 | 31.60911 | 32.47188 | 36.33943 | 38.44001 | 39.63858 | 41.43861 | 42.98583 | 42.42041 | 43.65733 | 38.91565 | 39.25768 | 39.74822 | 39.94909 | 42.44668 | 42.62412 | 42.67632 | 43.23652 | 42.98695 | 43.20637 | 43.30638 | 42.4147 | 41.94152 | 41.45254 | 41.28418 | 41.06811 | 41.51885 | ||||||||||||||||||||
School enrollment, secondary (% gross) | SE.SEC.ENRR | 17.59602 | 17.9747 | 18.10866 | 18.46851 | 19.06836 | 20.55394 | 21.32036 | 22.06142 | 23.47667 | 27.72459 | 29.87018 | 33.32403 | 33.58809 | 41.04252 | 46.4443 | 48.3809 | 48.25004 | 45.71995 | 43.99844 | 43.30702 | 43.02472 | 44.08231 | 46.92078 | 49.69974 | 53.43017 | 52.81296 | 54.97717 | 56.40542 | 59.51767 | 61.70837 | 60.64027 | 63.8898 | 71.49924 | 70.18403 | 75.05736 | 77.15272 | |||||||||||||||||
School enrollment, secondary, female (% gross) | SE.SEC.ENRR.FE | 12.18953 | 13.30667 | 13.12578 | 13.47373 | 14.19957 | 15.95489 | 16.64564 | 17.29648 | 18.62266 | 22.52309 | 24.46337 | 28.22351 | 28.42077 | 43.00426 | 43.32089 | 41.48235 | 39.63442 | 39.12137 | 38.40092 | 40.31113 | 43.1777 | 45.94359 | 51.47305 | 54.40477 | 56.04948 | 59.14225 | 61.46786 | 60.29889 | 64.04573 | 71.67552 | 69.86863 | 74.72939 | 77.24106 | ||||||||||||||||||||
School enrollment, secondary, male (% gross) | SE.SEC.ENRR.MA | 22.85853 | 22.50248 | 22.93986 | 23.31644 | 23.79942 | 25.02548 | 25.86615 | 26.69728 | 28.20076 | 32.80112 | 35.15675 | 38.31877 | 38.65311 | 53.64792 | 53.07526 | 49.8652 | 48.26427 | 47.39746 | 47.54211 | 47.76547 | 50.57499 | 53.36497 | 54.11706 | 55.53371 | 56.75145 | 59.88245 | 61.94189 | 60.97142 | 63.73867 | 71.32831 | 70.48986 | 75.37528 | 77.06715 | ||||||||||||||||||||
School enrollment, secondary (% net) | SE.SEC.NENR | 15.79331 | 16.13336 | 16.64782 | 17.98722 | 18.85152 | 19.19047 | 20.39909 | 41.23934 | 41.24583 | 46.67883 | 49.08716 | 50.12947 | 52.90949 | 54.75645 | 55.97764 | 58.72573 | 65.7225 | 64.51148 | 65.13838 | 67.2825 | |||||||||||||||||||||||||||||||||
School enrollment, secondary, female (% net) | SE.SEC.NENR.FE | 11.84415 | 12.07806 | 12.65847 | 14.25428 | 15.00677 | 15.505 | 16.6662 | 38.15222 | 45.49446 | 48.72346 | 49.82236 | 52.57939 | 54.55585 | 55.68681 | 58.87886 | 65.89253 | 64.25595 | 64.5923 | 67.02053 | ||||||||||||||||||||||||||||||||||
School enrollment, secondary, male (% net) | SE.SEC.NENR.MA | 19.62225 | 20.06944 | 20.52432 | 21.61667 | 22.59022 | 22.7761 | 24.03206 | 44.26598 | 47.83154 | 49.44077 | 50.42803 | 53.23023 | 54.95123 | 56.25975 | 58.57732 | 65.55762 | 64.75926 | 65.66771 | 67.53624 | ||||||||||||||||||||||||||||||||||
School enrollment, secondary, private (% of total secondary) | SE.SEC.PRIV.ZS | 42.70587 | 42.70359 | 42.72116 | 42.93786 | 42.94235 | 44.16943 | 43.48848 | 48.77377 | 42.88536 | 43.27081 | 41.83039 | ||||||||||||||||||||||||||||||||||||||||||
Progression to secondary school, female (%) | SE.SEC.PROG.FE.ZS | 62.57123 | 78.85503 | 82.80925 | 83.52443 | 78.28921 | 88.85369 | 98.02667 | 93.00364 | 92.65643 | 89.89653 | |||||||||||||||||||||||||||||||||||||||||||
Progression to secondary school, male (%) | SE.SEC.PROG.MA.ZS | 72.27568 | 77.16381 | 80.20934 | 83.51766 | 78.63077 | 88.12996 | 99.27885 | 86.47334 | 91.05989 | 89.39663 | |||||||||||||||||||||||||||||||||||||||||||
Progression to secondary school (%) | SE.SEC.PROG.ZS | 30.02458 | 52.26019 | 50.75131 | 52.6332 | 54.74265 | 67.45868 | 78.00011 | 81.49246 | 83.52099 | 78.4617 | 88.48776 | 98.66283 | 89.64626 | 91.83875 | 89.64311 | ||||||||||||||||||||||||||||||||||||||
Repeaters, secondary, female (% of female enrollment) | SE.SEC.REPT.FE.ZS | 0.70038 | 0.70748 | 0.65079 | 0.62453 | 0.56408 | 0.65054 | 0.32192 | 0.18058 | 0.15235 | 0.19787 | 0.20096 | 0.18917 | 0.28034 | 0.35661 | 0.27795 | 0.33212 | 0.40114 | 0.31526 | |||||||||||||||||||||||||||||||||||
Repeaters, secondary, male (% of male enrollment) | SE.SEC.REPT.MA.ZS | 1.20941 | 1.2571 | 1.1363 | 1.19135 | 1.07873 | 0.98371 | 1.12793 | 0.58244 | 0.57677 | 0.49363 | 0.65338 | 0.60176 | 0.70769 | 0.66611 | 0.62607 | 0.59372 | 0.79658 | 0.78722 | |||||||||||||||||||||||||||||||||||
Repeaters, secondary, total (% of total enrollment) | SE.SEC.REPT.ZS | 2.90693 | 2.8344 | 2.42904 | 2.19871 | 1.98804 | 1.99955 | 1.95969 | 2.33559 | 1.72516 | 1.79927 | 1.81648 | 1.63243 | 1.66529 | 1.88014 | 1.26613 | 1.0802 | 0.98187 | 1.00949 | 0.91594 | 0.93373 | 0.84837 | 0.83064 | 0.75789 | 0.38561 | 0.36619 | 0.34602 | 0.42785 | 0.39561 | 0.49407 | 0.5099 | 0.45022 | 0.46196 | 0.59688 | 0.54746 | |||||||||||||||||||
Secondary education, teachers | SE.SEC.TCHR | 187776 | 193604 | 216732 | 220820 | 222002 | 238045 | 385186 | 403422 | 469631 | 567223 | 620857 | 764294 | 788929 | 870455 | 806384 | 793558 | 806396 | 864587 | 917697 | 986896 | 903706 | 1040081 | 1114798 | 1115098 | 1151624 | 1281677 | 1369424 | 1434874 | 1531383 | 1550054 | 1640533 | ||||||||||||||||||||||
Secondary education, teachers, female | SE.SEC.TCHR.FE | 45079 | 47153 | 47956 | 52921 | 248436 | 256749 | 288166 | 282717 | 276943 | 288355 | 321859 | 362176 | 376380 | 417499 | 442761 | 456491 | 458983 | 557070 | 701550 | 723525 | 737154 | 786985 | |||||||||||||||||||||||||||||||
Secondary education, teachers (% female) | SE.SEC.TCHR.FE.ZS | 20.79942 | 21.35359 | 21.60161 | 22.23151 | 32.50529 | 32.54399 | 33.10522 | 35.05985 | 34.8989 | 35.75849 | 37.22691 | 39.46575 | 41.6485 | 40.14101 | 39.7167 | 40.9373 | 39.85528 | 43.46415 | 48.89279 | 47.24651 | 47.55667 | 47.9713 | |||||||||||||||||||||||||||||||
School enrollment, tertiary (% gross) | SE.TER.ENRR | 2.75708 | 2.71332 | 2.6539 | 2.57923 | 2.49664 | 2.50078 | 2.53494 | 2.49087 | 2.59852 | 3.4065 | 3.74788 | 3.78273 | 4.00607 | 5.26098 | 6.03194 | 7.45455 | 6.74326 | 7.79307 | 8.23123 | 9.27127 | 9.24021 | 10.36804 | 11.16062 | 11.37587 | 14.71884 | 14.04357 | 14.60953 | 15.67749 | 16.07159 | 16.52611 | 16.50521 | 17.27301 | 20.19529 | 22.35115 | 23.11997 | ||||||||||||||||||
School enrollment, tertiary, female (% gross) | SE.TER.ENRR.FE | 1.35765 | 1.47361 | 1.46737 | 1.44511 | 2.38919 | 2.60092 | 3.31982 | 3.9426 | 7.35734 | 8.63161 | 8.01125 | 13.7824 | 12.14599 | 13.53801 | 13.89069 | 14.21506 | 15.75936 | 17.20067 | 19.34409 | 21.87742 | 21.79132 | ||||||||||||||||||||||||||||||||
School enrollment, tertiary, male (% gross) | SE.TER.ENRR.MA | 4.21667 | 3.98848 | 3.85451 | 3.59156 | 5.13944 | 5.37421 | 7.1518 | 8.06905 | 11.09092 | 13.6443 | 14.67874 | 15.63905 | 15.90667 | 15.66215 | 17.43289 | 17.89481 | 17.23632 | 17.34396 | 21.03049 | 22.81591 | 24.42267 | ||||||||||||||||||||||||||||||||
Tertiary education, teachers (% female) | SE.TER.TCHR.FE.ZS | 17.15993 | 17.92142 | 18.03702 | 8.08409 | 40.76209 | 39.70033 | 39.31153 | 39.46638 | 40.88699 | 40.45371 | 40.1547 | 40.78733 | |||||||||||||||||||||||||||||||||||||||||
Expenditure per student, primary (% of GDP per capita) | SE.XPD.PRIM.PC.ZS | 8.18183 | 0 | 0 | 0 | 0 | 0 | 11.49085 | 11.33554 | 13.4198 | 10.5384 | |||||||||||||||||||||||||||||||||||||||||||
Expenditure per student, secondary (% of GDP per capita) | SE.XPD.SECO.PC.ZS | 46.80311 | 6.54674 | 12.15618 | 10.66808 | 11.56892 | 10.62635 | 9.49279 | 9.40331 | 10.93107 | 8.75897 | |||||||||||||||||||||||||||||||||||||||||||
Expenditure per student, tertiary (% of GDP per capita) | SE.XPD.TERT.PC.ZS | 172.96124 | 23.50263 | 26.9875 | 30.02019 | 27.59229 | 23.71581 | 16.93602 | 20.95239 | 23.0939 | ||||||||||||||||||||||||||||||||||||||||||||
Public spending on education, total (% of government expenditure) | SE.XPD.TOTL.GB.ZS | 11.45362 | 14.27725 | 15.98421 | 14.17022 | 14.87495 | 17.2157 | 15.87477 | 14.56848 | 21.08274 | 17.14149 | |||||||||||||||||||||||||||||||||||||||||||
Public spending on education, total (% of GDP) | SE.XPD.TOTL.GD.ZS | 2.64225 | 0.82737 | 0.99855 | 1.00435 | 1.07855 | 1.07208 | 2.46003 | 2.64569 | 3.218 | 2.74847 | 2.87282 | 3.59965 | 3.04425 | 2.9019 | 3.52513 | 2.99923 | |||||||||||||||||||||||||||||||||||||
Female legislators, senior officials and managers (% of total) | SG.GEN.LSOM.ZS | 22 | 19.7222222222 | 22.0991253644 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Proportion of seats held by women in national parliaments (%) | SG.GEN.PARL.ZS | 12.4 | 11.4 | 11.4 | 8 | 8 | 8 | 8 | 11.3 | 11.3 | 11.3 | 11.6 | 11.6 | 17.9 | 18 | 18.2 | 18.2 | |||||||||||||||||||||||||||||||||||||
Condom use, population ages 15-24, female (% of females ages 15-24) | SH.CON.1524.FE.ZS | 1.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Condom use, population ages 15-24, male (% of males ages 15-24) | SH.CON.1524.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Number of infant deaths | SH.DTH.IMRT | 505000 | 500000 | 493000 | 488000 | 486000 | 485000 | 485000 | 482000 | 478000 | 473000 | 467000 | 456000 | 445000 | 434000 | 424000 | 416000 | 406000 | 398000 | 391000 | 385000 | 379000 | 370000 | 361000 | 352000 | 341000 | 328000 | 312000 | 296000 | 279000 | 264000 | 251000 | 241000 | 233000 | 225000 | 219000 | 211000 | 202000 | 189000 | 179000 | 171000 | 166000 | 163000 | 161000 | 159000 | 155000 | 151000 | 143000 | 134000 | 125000 | 116000 | 109000 | 104000 | |
Number of under-five deaths | SH.DTH.MORT | 832000 | 829000 | 820000 | 812000 | 808000 | 807000 | 803000 | 794000 | 783000 | 770000 | 756000 | 738000 | 719000 | 701000 | 682000 | 667000 | 650000 | 635000 | 622000 | 610000 | 598000 | 583000 | 567000 | 549000 | 530000 | 508000 | 485000 | 459000 | 432000 | 408000 | 386000 | 366000 | 350000 | 334000 | 322000 | 307000 | 292000 | 273000 | 256000 | 243000 | 233000 | 226000 | 219000 | 214000 | 207000 | 199000 | 189000 | 177000 | 165000 | 152000 | 143000 | 134000 | |
Number of neonatal deaths | SH.DTH.NMRT | 140000 | 135000 | 130000 | 125000 | 121000 | 117000 | 113000 | 109000 | 105000 | 103000 | 101000 | 99000 | 96000 | 93000 | 89000 | 86000 | 83000 | 79000 | 76000 | 72000 | 69000 | 66000 | |||||||||||||||||||||||||||||||
Women's share of population ages 15+ living with HIV (%) | SH.DYN.AIDS.FE.ZS | 29.8 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of HIV, total (% of population ages 15-49) | SH.DYN.AIDS.ZS | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.1 | 0.2 | 0.2 | 0.2 | 0.2 | 0.3 | |||||||||||||||||||||||||||||||
Mortality rate, female child (per 1,000 female children age one) | SH.DYN.CHLD.FE | 41.7 | 34.8 | 26.5 | 19.5 | 11 | 12 | |||||||||||||||||||||||||||||||||||||||||||||||
Mortality rate, male child (per 1,000 male children age one) | SH.DYN.CHLD.MA | 36.6 | 36 | 29.9 | 19.2 | 12.9 | 13 | |||||||||||||||||||||||||||||||||||||||||||||||
Mortality rate, under-5 (per 1,000 live births) | SH.DYN.MORT | 216.4 | 210.8 | 204.9 | 199.7 | 195.4 | 191.3 | 186.8 | 181.1 | 175.2 | 169.1 | 163.5 | 157.5 | 152.1 | 147.3 | 142.7 | 138.5 | 134.1 | 130.1 | 126.4 | 123.2 | 119.9 | 116.1 | 112.1 | 108.1 | 104.3 | 100.3 | 96.5 | 92.7 | 88.7 | 85.1 | 81.6 | 78 | 74.5 | 71.1 | 68.3 | 65.3 | 62.6 | 59.4 | 56.7 | 54.5 | 52.5 | 50.5 | 48.2 | 46 | 43.9 | 42 | 40.1 | 38.2 | 36.8 | 34.8 | 33.3 | 31.8 | |
Mortality rate, neonatal (per 1,000 live births) | SH.DYN.NMRT | 29.2 | 28.5 | 27.7 | 26.9 | 26.2 | 25.4 | 24.8 | 23.9 | 23.2 | 22.6 | 22 | 21.4 | 20.8 | 20.1 | 19.4 | 18.8 | 18.2 | 17.6 | 17.1 | 16.4 | 15.9 | 15.3 | |||||||||||||||||||||||||||||||
Improved water source, rural (% of rural population with access) | SH.H2O.SAFE.RU.ZS | 61 | 62 | 63 | 63 | 64 | 65 | 65 | 66 | 66 | 67 | 68 | 68 | 69 | 70 | 70 | 71 | 72 | 72 | 73 | 73 | 74 | ||||||||||||||||||||||||||||||||
Improved water source, urban (% of urban population with access) | SH.H2O.SAFE.UR.ZS | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 92 | 92 | 92 | ||||||||||||||||||||||||||||||||
Improved water source (% of population with access) | SH.H2O.SAFE.ZS | 70 | 71 | 72 | 72 | 73 | 74 | 75 | 76 | 76 | 77 | 78 | 78 | 78 | 79 | 79 | 80 | 80 | 80 | 81 | 81 | 82 | ||||||||||||||||||||||||||||||||
Children (0-14) living with HIV | SH.HIV.0014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of HIV, female (% ages 15-24) | SH.HIV.1524.FE.ZS | 0.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of HIV, male (% ages 15-24) | SH.HIV.1524.MA.ZS | 0.2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Antiretroviral therapy coverage (% of people with advanced HIV infection) | SH.HIV.ARTC.ZS | 24 | 24 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Immunization, DPT (% of children ages 12-23 months) | SH.IMM.IDPT | 1 | 1 | 6 | 13 | 27 | 47 | 50 | 54 | 57 | 60 | 62 | 64 | 66 | 68 | 69 | 72 | 73 | 72 | 72 | 71 | 71 | 70 | 71 | 71 | 72 | 72 | 72 | 58 | 62 | 63 | 63 | ||||||||||||||||||||||
Immunization, measles (% of children ages 12-23 months) | SH.IMM.MEAS | 6 | 13 | 26 | 45 | 48 | 51 | 54 | 58 | 61 | 65 | 68 | 66 | 63 | 79 | 77 | 76 | 75 | 74 | 73 | 72 | 74 | 76 | 77 | 79 | 82 | 80 | 82 | 89 | 89 | ||||||||||||||||||||||||
Hospital beds (per 1,000 people) | SH.MED.BEDS.ZS | 0.740457058 | 0.6546000242 | 0.8183000088 | 0.5568000078 | 0.7026000023 | 0.665199995 | 0.6686000228 | 0.6650000215 | 0.6575999856 | 0.6600999832 | 0.6 | 0.6 | 0.6 | ||||||||||||||||||||||||||||||||||||||||
Community health workers (per 1,000 people) | SH.MED.CMHW.P3 | 0.001 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Nurses and midwives (per 1,000 people) | SH.MED.NUMW.P3 | 0.82 | 2.041 | 2.041 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Physicians (per 1,000 people) | SH.MED.PHYS.ZS | 0.0206178986 | 0.0315454416 | 0.0373000018 | 0.0370999984 | 0.0854000002 | 0.0803000033 | 0.1062999964 | 0.1422999948 | 0.1441999972 | 0.1476999968 | 0.1501999944 | 0.1615999937 | 0.1599999964 | 0.162 | 0.13 | 0.13 | 0.288 | 0.288 | |||||||||||||||||||||||||||||||||||
Notified cases of malaria (per 100,000 people) | SH.MLR.INCD | 1645 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Use of insecticide-treated bed nets (% of under-5 population) | SH.MLR.NETS.ZS | 0.1000000015 | 3.3 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children with fever receiving antimalarial drugs (% of children under age 5 with fever) | SH.MLR.TRET.ZS | 0.7 | 0.8 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Number of maternal deaths | SH.MMR.DTHS | 29000 | 19000 | 16000 | 12000 | 9600 | ||||||||||||||||||||||||||||||||||||||||||||||||
Lifetime risk of maternal death (1 in: rate varies by country) | SH.MMR.RISK | 49 | 81 | 110 | 150 | 210 | ||||||||||||||||||||||||||||||||||||||||||||||||
Lifetime risk of maternal death (%) | SH.MMR.RISK.ZS | 2.0222644364 | 1.2364974455 | 0.8987045984 | 0.6599876479 | 0.4801183337 | ||||||||||||||||||||||||||||||||||||||||||||||||
Smoking prevalence, females (% of adults) | SH.PRV.SMOK.FE | 5.2 | 5.101548 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Smoking prevalence, males (% of adults) | SH.PRV.SMOK.MA | 65.6 | 61.30266 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Improved sanitation facilities (% of population with access) | SH.STA.ACSN | 32 | 33 | 34 | 36 | 37 | 38 | 40 | 41 | 42 | 44 | 44 | 45 | 46 | 47 | 49 | 50 | 50 | 51 | 52 | 54 | 54 | ||||||||||||||||||||||||||||||||
Improved sanitation facilities, rural (% of rural population with access) | SH.STA.ACSN.RU | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 39 | ||||||||||||||||||||||||||||||||
Improved sanitation facilities, urban (% of urban population with access) | SH.STA.ACSN.UR | 56 | 57 | 58 | 59 | 60 | 60 | 61 | 62 | 63 | 64 | 64 | 65 | 66 | 67 | 68 | 69 | 69 | 70 | 71 | 72 | 73 | ||||||||||||||||||||||||||||||||
Pregnant women receiving prenatal care (%) | SH.STA.ANVC.ZS | 76.3 | 82.3 | 89.4 | 88.3 | 91.5 | 88.6 | 90.38 | 91.23 | 92.65 | 94.51 | 95.26 | ||||||||||||||||||||||||||||||||||||||||||
ARI treatment (% of children under 5 taken to a health provider) | SH.STA.ARIC.ZS | 64.4194646634 | 62.7800042033 | 68.8 | 61.2747900164 | 66.4 | ||||||||||||||||||||||||||||||||||||||||||||||||
Exclusive breastfeeding (% of children under 6 months) | SH.STA.BFED.ZS | 39.5 | 32 | 15.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Births attended by skilled health staff (% of total) | SH.STA.BRTC.ZS | 36.3 | 40.7 | 31.7 | 36.5 | 49.7 | 43.2 | 56 | 66.9 | 68.4 | 66.3 | 71.5 | 79.4 | 74.86 | 82.2 | |||||||||||||||||||||||||||||||||||||||
Low-birthweight babies (% of births) | SH.STA.BRTW.ZS | 9.1 | 9.7 | 10.3 | 9 | 8.8 | 11.1 | |||||||||||||||||||||||||||||||||||||||||||||||
Malnutrition prevalence, weight for age (% of children under 5) | SH.STA.MALN.ZS | 35.9 | 31 | 29.8 | 27.4 | 25.8 | 22.8 | 24.8 | 23.4 | 23 | 23.1 | 19.7 | 24.4 | 19.6 | 18.6 | |||||||||||||||||||||||||||||||||||||||
Maternal mortality ratio (modeled estimate, per 100,000 live births) | SH.STA.MMRT | 600 | 420 | 340 | 270 | 220 | ||||||||||||||||||||||||||||||||||||||||||||||||
Maternal mortality ratio (national estimate, per 100,000 live births) | SH.STA.MMRT.NE | 307 | 230 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Diarrhea treatment (% of children under 5 receiving oral rehydration and continued feeding) | SH.STA.ORCF.ZS | 60.6 | 56.0351550865 | 54.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of overweight (% of children under 5) | SH.STA.OWGH.ZS | 1.5 | 1.5 | 5.1 | 11.2 | 12.3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Malnutrition prevalence, height for age (% of children under 5) | SH.STA.STNT.ZS | 42.4 | 41.6 | 28.6 | 40.1 | 39.2 | ||||||||||||||||||||||||||||||||||||||||||||||||
Prevalence of wasting (% of children under 5) | SH.STA.WAST.ZS | 5.5 | 5.4 | 14.4 | 14.8 | 12.3 | ||||||||||||||||||||||||||||||||||||||||||||||||
Tuberculosis treatment success rate (% of registered cases) | SH.TBS.CURE.ZS | 94 | 91 | 81 | 54 | 58 | 50 | 87 | 86 | 86 | 87 | 90 | 91 | 91 | 91 | 91 | 91 | 90 | ||||||||||||||||||||||||||||||||||||
Tuberculosis case detection rate (%, all forms) | SH.TBS.DTEC.ZS | 20 | 16 | 25 | 16 | 12 | 8.7 | 6 | 5.3 | 9.5 | 16 | 19 | 21 | 35 | 39 | 47 | 56 | 61 | 61 | 65 | 65 | 66 | 70 | |||||||||||||||||||||||||||||||
Incidence of tuberculosis (per 100,000 people) | SH.TBS.INCD | 206 | 205 | 205 | 205 | 205 | 205 | 204 | 204 | 204 | 204 | 204 | 204 | 204 | 202 | 201 | 199 | 197 | 195 | 193 | 191 | 189 | 187 | |||||||||||||||||||||||||||||||
Newborns protected against tetanus (%) | SH.VAC.TTNS.ZS | 87 | 83 | 79 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Outpatient visits per capita | SH.VST.OUTP | |||||||||||||||||||||||||||||||||||||||||||||||||||||
External resources for health (% of total expenditure on health) | SH.XPD.EXTR.ZS | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.9637568019 | 1.3050322464 | 1.4086251509 | 1.8299334924 | 1.5061388659 | 1.3844309451 | 1.5346228456 | 1.379786609 | 1.3247195656 | |||||||||||||||||||||||||||||||||||||
Out-of-pocket health expenditure (% of total expenditure on health) | SH.XPD.OOPC.TO.ZS | 46.6190622904 | 46.3553275162 | 47.2741108331 | 47.9866893976 | 48.6025365834 | 46.217885309 | 41.5260721281 | 44.6751901614 | 44.4127067264 | 44.7094995949 | 33.6566972902 | 43.1354490308 | 40.6413346096 | 40.2952795759 | 40.5046702841 | 38.2535166293 | |||||||||||||||||||||||||||||||||||||
Out-of-pocket health expenditure (% of private expenditure on health) | SH.XPD.OOPC.ZS | 72.5085382593 | 72.5525830539 | 72.6115619118 | 73.1518372562 | 73.4569731321 | 72.8958959603 | 73.5170320075 | 72.1687287042 | 74.109484205 | 73.87991441 | 65.3109191019 | 73.6304327879 | 74.9486310817 | 75.2852397104 | 75.1534865485 | 75.1296908169 | |||||||||||||||||||||||||||||||||||||
Health expenditure per capita (current US$) | SH.XPD.PCAP | 20.8581049043 | 23.5581748107 | 21.2416705688 | 10.0806530374 | 16.1278300076 | 15.842502523 | 17.3257985184 | 20.751164852 | 27.8414908964 | 28.0962834906 | 26.8435713499 | 39.6563677393 | 50.5679681883 | 53.3609357782 | 56.3513708821 | 76.8932152282 | |||||||||||||||||||||||||||||||||||||
Health expenditure per capita, PPP (constant 2005 international $) | SH.XPD.PCAP.PP.KD | 44.7130399627 | 49.2465910978 | 49.8138765451 | 46.9382985154 | 52.3467749322 | 46.7686494713 | 55.8359410095 | 58.3092026563 | 69.7719518061 | 70.6260812424 | 66.2157256058 | 83.5555896077 | 98.3838594954 | 95.2639452365 | 100.4436931358 | 112.0697208962 | |||||||||||||||||||||||||||||||||||||
Health expenditure, private (% of GDP) | SH.XPD.PRIV.ZS | 1.156402564 | 1.1704936589 | 1.149409316 | 1.259669303 | 1.4048931605 | 1.2495078198 | 1.269091283 | 1.384352982 | 1.5184230858 | 1.4328771925 | 1.0607679229 | 1.4651509835 | 1.4747882761 | 1.3151657765 | 1.3368802317 | 1.3291610079 | |||||||||||||||||||||||||||||||||||||
Health expenditure, public (% of total health expenditure) | SH.XPD.PUBL | 35.7054170315 | 36.1079570637 | 34.8945132312 | 34.4012519747 | 33.8353671394 | 36.5974110063 | 43.5150318312 | 38.0961935126 | 40.0714939486 | 39.4835525298 | 48.4669673111 | 41.4162766705 | 45.7744137244 | 46.4765208547 | 46.104070291 | 49.083356775 | |||||||||||||||||||||||||||||||||||||
Health expenditure, public (% of government expenditure) | SH.XPD.PUBL.GX.ZS | 4.1102619007 | 4.2714221708 | 3.3200126581 | 3.4219495792 | 3.7436288043 | 4.5260174928 | 4.7124118633 | 4.8174936681 | 5.1456332293 | 5.0243967826 | 5.4310377103 | 5.1845546444 | 6.4919464782 | 5.7332594998 | 6.8367120516 | 7.7523856609 | |||||||||||||||||||||||||||||||||||||
Health expenditure, public (% of GDP) | SH.XPD.PUBL.ZS | 0.6421977389 | 0.6614929315 | 0.6160475956 | 0.6605949412 | 0.718436328 | 0.7212442262 | 0.9776857342 | 0.8519440416 | 1.0153011564 | 0.9348711675 | 0.9976553205 | 1.0358013292 | 1.2449393975 | 1.1420096491 | 1.1436043595 | 1.2813037119 | |||||||||||||||||||||||||||||||||||||
Health expenditure, total (% of GDP) | SH.XPD.TOTL.ZS | 1.7986003029 | 1.8319865904 | 1.7654569116 | 1.9202642442 | 2.1233294885 | 1.9707520459 | 2.2467770171 | 2.2362970236 | 2.5337242422 | 2.36774836 | 2.0584232434 | 2.5009523127 | 2.7197276736 | 2.4571754257 | 2.4804845912 | 2.6104647198 | |||||||||||||||||||||||||||||||||||||
Income share held by second 20% | SI.DST.02ND.20 | 12.93 | 13.18 | 13.19 | 13.15 | 12.67 | 13.35 | 13.02 | 12.03 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by third 20% | SI.DST.03RD.20 | 16.88 | 16.84 | 16.83 | 16.74 | 16.33 | 16.83 | 16.53 | 15.83 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by fourth 20% | SI.DST.04TH.20 | 22.05 | 21.83 | 21.69 | 21.53 | 21.28 | 21.36 | 21.3 | 21.04 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by highest 20% | SI.DST.05TH.20 | 39.46 | 38.79 | 38.9 | 39.11 | 40.71 | 38.88 | 39.62 | 42.76 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by highest 10% | SI.DST.10TH.10 | 24.91 | 24.61 | 24.68 | 25.01 | 26.57 | 25.08 | 25.6 | 28.51 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by lowest 10% | SI.DST.FRST.10 | 3.74 | 4.07 | 4.17 | 4.22 | 4 | 4.25 | 4.29 | 3.67 | |||||||||||||||||||||||||||||||||||||||||||||
Income share held by lowest 20% | SI.DST.FRST.20 | 8.68 | 9.36 | 9.39 | 9.47 | 9.01 | 9.58 | 9.53 | 8.34 | |||||||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at $2 a day (PPP) (% of population) | SI.POV.2DAY | 88.4 | 91.1 | 84.59 | 84.57 | 77.01 | 81.55 | 66.97 | 53.8 | 63.35 | 56.13 | 54.4 | 52.68 | 46.12 | ||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at $1.25 a day (PPP) (% of population) | SI.POV.DDAY | 62.84 | 68.16 | 54.27 | 54.4 | 43.38 | 47.7 | 29.31 | 21.44 | 28.63 | 24.2 | 22.64 | 20.42 | 18.06 | ||||||||||||||||||||||||||||||||||||||||
Poverty gap at $2 a day (PPP) (%) | SI.POV.GAP2 | 42.83 | 45.38 | 36.97 | 37.07 | 30.67 | 33.26 | 22.44 | 17.28 | 21.97 | 18.57 | 17.67 | 16.52 | 14.29 | ||||||||||||||||||||||||||||||||||||||||
Poverty gap at $1.25 a day (PPP) (%) | SI.POV.GAPS | 21.36 | 23.14 | 15.62 | 15.67 | 11.44 | 12.52 | 6.03 | 4.56 | 6.74 | 5.16 | 4.73 | 4.09 | 3.31 | ||||||||||||||||||||||||||||||||||||||||
GINI index | SI.POV.GINI | 30.47 | 29.27 | 29.19 | 29.31 | 31.33 | 28.99 | 29.74 | 34.01 | |||||||||||||||||||||||||||||||||||||||||||||
Poverty gap at national poverty line (%) | SI.POV.NAGP | 3.1 | 3 | 2.9 | 3.7 | 5.1 | 2.8 | 2.5 | 2.2 | 2.1 | ||||||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at national poverty line (% of population) | SI.POV.NAHC | 17.6 | 23.4 | 18.2 | 17.4 | 16.7 | 16 | 17.8 | 16.6 | 15.4 | 14.2 | 13.3 | 12.5 | |||||||||||||||||||||||||||||||||||||||||
Poverty gap at rural poverty line (%) | SI.POV.RUGP | 3.6 | 3.6 | 3.7 | 4.6 | 6.5 | 3.4 | 3.1 | 2.8 | 2.6 | ||||||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at rural poverty line (% of rural population) | SI.POV.RUHC | 19.8 | 26 | 21.1 | 20.2 | 20.1 | 20 | 21.8 | 20.4 | 18.9 | 17.4 | 16.6 | 15.7 | |||||||||||||||||||||||||||||||||||||||||
Poverty gap at urban poverty line (%) | SI.POV.URGP | 2.4 | 2.3 | 2.1 | 2.8 | 3.6 | 2.1 | 1.9 | 1.6 | 1.5 | ||||||||||||||||||||||||||||||||||||||||||||
Poverty headcount ratio at urban poverty line (% of urban population) | SI.POV.URHC | 13.6 | 19.4 | 14.5 | 13.6 | 12.1 | 11.7 | 13.5 | 12.5 | 11.6 | 10.7 | 9.9 | 9.2 | |||||||||||||||||||||||||||||||||||||||||
Child employment in agriculture, female (% of female economically active children ages 7-14) | SL.AGR.0714.FE.ZS | 48.72 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in agriculture, male (% of male economically active children ages 7-14) | SL.AGR.0714.MA.ZS | 65.5 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in agriculture (% of economically active children ages 7-14) | SL.AGR.0714.ZS | 57.85 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Employees, agriculture, female (% of female employment) | SL.AGR.EMPL.FE.ZS | 54.2000007629 | 53.7999992371 | 53.5999984741 | 55.7000007629 | 55.7000007629 | 56.7999992371 | 57 | 56.2999992371 | 54.5 | 56.5 | 51.2000007629 | 47.2999992371 | 43.7999992371 | 45 | 42 | 46 | 44.4000015259 | 46.7000007629 | 44.5 | 45.4000015259 | 47.5 | 44.5999984741 | 44.2999992371 | 41.0999984741 | 41.4000015259 | 39.9000015259 | 38.7999992371 | 38 | |||||||||||||||||||||||||
Employees, agriculture, male (% of male employment) | SL.AGR.EMPL.MA.ZS | 57.5 | 55.2000007629 | 55.2999992371 | 54.7000007629 | 54.5999984741 | 55.4000015259 | 55.7000007629 | 55.5999984741 | 53.5 | 53.7999992371 | 50.2000007629 | 45.4000015259 | 44.0999984741 | 43.4000015259 | 40.7000007629 | 44.2999992371 | 43.2999992371 | 44.4000015259 | 43.2999992371 | 43.7000007629 | 45.7000007629 | 42.5999984741 | 43.7999992371 | 42.5 | 41.0999984741 | 40.5999984741 | 40.2000007629 | 39 | |||||||||||||||||||||||||
Employment in agriculture (% of total employment) | SL.AGR.EMPL.ZS | 56.4000015259 | 54.7000007629 | 54.7000007629 | 55.0999984741 | 55 | 55.9000015259 | 56.2000007629 | 55.9000015259 | 53.9000015259 | 54.9000015259 | 50.5999984741 | 46.0999984741 | 44 | 44 | 41.2000007629 | 45 | 43.2000007629 | 45.2999992371 | 43.7999992371 | 44.2999992371 | 46.4000015259 | 43.2999992371 | 44 | 42 | 41.2000007629 | 40.2999992371 | 39.7000007629 | 38.2999992371 | |||||||||||||||||||||||||
Employment to population ratio, ages 15-24, female (%) | SL.EMP.1524.SP.FE.ZS | 36.7999992371 | 36.9000015259 | 37.2999992371 | 36.5 | 35.2000007629 | 36.0999984741 | 34.9000015259 | 31.5 | 35 | 35.7000007629 | 34.2999992371 | 31.5 | 31.2000007629 | 30.2000007629 | 27.6000003815 | 28.7000007629 | 31.2000007629 | 31.5 | 31.8999996185 | 30.6000003815 | |||||||||||||||||||||||||||||||||
Employment to population ratio, ages 15-24, male (%) | SL.EMP.1524.SP.MA.ZS | 55 | 56.7000007629 | 53.4000015259 | 49.0999984741 | 50.5999984741 | 54.2999992371 | 53.7999992371 | 45.9000015259 | 55.9000015259 | 54.5999984741 | 53.5999984741 | 49.2000007629 | 49.4000015259 | 48.2000007629 | 46.0999984741 | 46.4000015259 | 48.2000007629 | 48.7999992371 | 49 | 48.9000015259 | |||||||||||||||||||||||||||||||||
Employment to population ratio, ages 15-24, total (%) | SL.EMP.1524.SP.ZS | 46 | 46.9000015259 | 45.4000015259 | 42.9000015259 | 43 | 45.2999992371 | 44.4000015259 | 38.7999992371 | 45.5999984741 | 45.2000007629 | 44.0999984741 | 40.4000015259 | 40.4000015259 | 39.2999992371 | 37 | 37.5999984741 | 39.7999992371 | 40.2999992371 | 40.5 | 39.9000015259 | |||||||||||||||||||||||||||||||||
Share of women employed in the nonagricultural sector (% of total nonagricultural employment) | SL.EMP.INSV.FE.ZS | 29.2 | 30.1 | 30.4 | 30.3 | 30.1 | 29 | 29.6 | 30 | 31.3 | 31.1 | 31.7 | 30.7 | 29.7 | 29.5 | 29 | 30.3 | 31.3 | 30.9 | 32.4 | ||||||||||||||||||||||||||||||||||
Employers, female (% of employment) | SL.EMP.MPYR.FE.ZS | 1.1000000238 | 1.1000000238 | 1 | 1.1000000238 | 1.2000000477 | 1.1000000238 | 1.3999999762 | 1.2999999523 | |||||||||||||||||||||||||||||||||||||||||||||
Employers, male (% of employment) | SL.EMP.MPYR.MA.ZS | 4.1999998093 | 4.0999999046 | 3.9000000954 | 4.3000001907 | 4 | 4 | 3.7999999523 | 3.9000000954 | |||||||||||||||||||||||||||||||||||||||||||||
Employers, total (% of employment) | SL.EMP.MPYR.ZS | 1.7000000477 | 1.7000000477 | 2.9000000954 | 2.2999999523 | 3.0999999046 | 3 | 2.9000000954 | 3.2000000477 | 3 | 3 | 2.9000000954 | 2.9000000954 | 2.9000000954 | ||||||||||||||||||||||||||||||||||||||||
Self-employed, female (% of females employed) | SL.EMP.SELF.FE.ZS | 70.6999969482 | 71.1999969482 | 72.4000015259 | 71.5 | 68.5999984741 | 68 | 69.3000030518 | 68.3000030518 | |||||||||||||||||||||||||||||||||||||||||||||
Self-employed, male (% of males employed) | SL.EMP.SELF.MA.ZS | 64.4000015259 | 65.8000030518 | 67.0999984741 | 66.1999969482 | 65.3000030518 | 65.0999984741 | 64.0999984741 | 65.5999984741 | |||||||||||||||||||||||||||||||||||||||||||||
Self-employed, total (% of total employed) | SL.EMP.SELF.ZS | 64.5 | 67.0999984741 | 66.9000015259 | 67.1999969482 | 66.6999969482 | 67.6999969482 | 69 | 68.0999984741 | 66.4000015259 | 66.0999984741 | 66 | 67.4000015259 | 66.5999984741 | ||||||||||||||||||||||||||||||||||||||||
Employment to population ratio, 15+, female (%) | SL.EMP.TOTL.SP.FE.ZS | 47.5 | 47 | 47.9000015259 | 48.2000007629 | 47.7999992371 | 48.4000015259 | 46.5 | 46.5999984741 | 47.4000015259 | 47.0999984741 | 45.2999992371 | 44 | 43.4000015259 | 43.5 | 42.9000015259 | 43.7999992371 | 45.2000007629 | 46.0999984741 | 46.7000007629 | 46.5999984741 | |||||||||||||||||||||||||||||||||
Employment to population ratio, 15+, male (%) | SL.EMP.TOTL.SP.MA.ZS | 78.9000015259 | 79.5999984741 | 79.8000030518 | 79.1999969482 | 79.5 | 81.0999984741 | 79.5999984741 | 77.1999969482 | 79.5999984741 | 79.8000030518 | 78.5 | 78.0999984741 | 78.4000015259 | 78.1999969482 | 77.1999969482 | 77.5999984741 | 77.6999969482 | 77.5999984741 | 78 | 79 | |||||||||||||||||||||||||||||||||
Employment to population ratio, 15+, total (%) | SL.EMP.TOTL.SP.ZS | 63.0999984741 | 63.2000007629 | 63.7000007629 | 63.5999984741 | 63.5 | 64.5999984741 | 62.9000015259 | 61.7999992371 | 63.4000015259 | 63.2999992371 | 61.7999992371 | 60.9000015259 | 60.7999992371 | 60.7000007629 | 59.9000015259 | 60.5 | 61.2999992371 | 61.7000007629 | 62.2000007629 | 62.5999984741 | |||||||||||||||||||||||||||||||||
Vulnerable employment, female (% of female employment) | SL.EMP.VULN.FE.ZS | 69.5999984741 | 70.0999984741 | 71.4000015259 | 70.4000015259 | 67.4000015259 | 66.9000015259 | 67.9000015259 | 67 | |||||||||||||||||||||||||||||||||||||||||||||
Vulnerable employment, male (% of male employment) | SL.EMP.VULN.MA.ZS | 60.0999984741 | 61.7000007629 | 63.2000007629 | 61.9000015259 | 61.2000007629 | 61.0999984741 | 60.2999992371 | 61.7999992371 | |||||||||||||||||||||||||||||||||||||||||||||
Vulnerable employment, total (% of total employment) | SL.EMP.VULN.ZS | 62.7999992371 | 65.4000015259 | 64 | 64.9000015259 | 63.7000007629 | 64.6999969482 | 66.0999984741 | 64.9000015259 | 63.4000015259 | 63.0999984741 | 63.0999984741 | 64.4000015259 | 63.7000007629 | ||||||||||||||||||||||||||||||||||||||||
Wage and salaried workers, female (% of females employed) | SL.EMP.WORK.FE.ZS | 29.2999992371 | 28.7999992371 | 27.6000003815 | 28.5 | 31.3999996185 | 32 | 30.7000007629 | 31.7000007629 | |||||||||||||||||||||||||||||||||||||||||||||
Wage and salary workers, male (% of males employed) | SL.EMP.WORK.MA.ZS | 35.5999984741 | 34.2000007629 | 32.9000015259 | 33.7999992371 | 34.7000007629 | 34.9000015259 | 35.9000015259 | 34.4000015259 | |||||||||||||||||||||||||||||||||||||||||||||
Wage and salaried workers, total (% of total employed) | SL.EMP.WORK.ZS | 35.5 | 32.9000015259 | 33.0999984741 | 32.7999992371 | 33.2999992371 | 32.2999992371 | 31 | 31.8999996185 | 33.5999984741 | 33.9000015259 | 34 | 32.5999984741 | 33.4000015259 | ||||||||||||||||||||||||||||||||||||||||
Contributing family workers, female (% of females employed) | SL.FAM.WORK.FE.ZS | 38.5999984741 | 36.2000007629 | 41.5 | 38.5 | 37.5 | 34.0999984741 | 33.5999984741 | 32.4000015259 | |||||||||||||||||||||||||||||||||||||||||||||
Contributing family workers, male (% of males employed) | SL.FAM.WORK.MA.ZS | 8.1000003815 | 7 | 8.5 | 7.5 | 7.6999998093 | 7.6999998093 | 7.8000001907 | 8.1000003815 | |||||||||||||||||||||||||||||||||||||||||||||
Contributing family workers, total (% of total employed) | SL.FAM.WORK.ZS | 18.5 | 19.5 | 18.2999992371 | 20.1000003815 | 19.3999996185 | 17.6000003815 | 20.2999992371 | 18.5 | 18 | 16.8999996185 | 17.2999992371 | 16.8999996185 | 17.2999992371 | ||||||||||||||||||||||||||||||||||||||||
GDP per person employed (constant 1990 PPP $) | SL.GDP.PCAP.EM.KD | 5350 | 5475 | 4912 | 5071 | 5282 | 5179 | 5011 | 5104 | 5239 | 5640 | 5945 | 6427 | 6707 | 7131 | 7404 | 8205 | 8270 | 8688 | 7353 | 7315 | 7588 | 7780 | 8056 | 8335 | 8670 | 9140 | 9491 | 9642 | 9960 | 10186 | 10474 | 11037 | |||||||||||||||||||||
Employees, industry, female (% of female employment) | SL.IND.EMPL.FE.ZS | 13.1000003815 | 14.5 | 12.1999998093 | 9.3000001907 | 9.3999996185 | 9.1000003815 | 12 | 12.3999996185 | 12.8000001907 | 12.8000001907 | 14.3999996185 | 16.2000007629 | 16 | 15.8999996185 | 16.2999992371 | 13.8999996185 | 13 | 15 | 16.1000003815 | 15.8000001907 | 15.1999998093 | 14.1999998093 | 15.8999996185 | 15.3000001907 | 15 | 14.6999998093 | 14.8999996185 | 15 | |||||||||||||||||||||||||
Employees, industry, male (% of male employment) | SL.IND.EMPL.MA.ZS | 13.1000003815 | 15.1999998093 | 14.1000003815 | 7.5 | 7.5 | 7.6999998093 | 14.1000003815 | 14.6000003815 | 15.6000003815 | 14.8999996185 | 16.5 | 20.2000007629 | 19.7000007629 | 19.5 | 20.7000007629 | 17.7999992371 | 19.2999992371 | 19 | 20.2999992371 | 20.3999996185 | 19.1000003815 | 20.1000003815 | 20.2999992371 | 20.2999992371 | 21 | 21.2000007629 | 21.2000007629 | 22 | |||||||||||||||||||||||||
Employment in industry (% of total employment) | SL.IND.EMPL.ZS | 13.1000003815 | 14.8999996185 | 13.3999996185 | 8.1999998093 | 8.3000001907 | 8.3000001907 | 13.3000001907 | 13.6999998093 | 14.5 | 14.1000003815 | 15.6999998093 | 18.7000007629 | 18.3999996185 | 18.1000003815 | 19 | 16.2999992371 | 17.7999992371 | 17.3999996185 | 18.7000007629 | 18.7999992371 | 17.7000007629 | 18 | 18.7000007629 | 18.6000003815 | 18.7999992371 | 18.7999992371 | 18.7999992371 | 19.2999992371 | |||||||||||||||||||||||||
Child employment in manufacturing, female (% of female economically active children ages 7-14) | SL.MNF.0714.FE.ZS | 10.74 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in manufacturing, male (% of male economically active children ages 7-14) | SL.MNF.0714.MA.ZS | 3.28 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in manufacturing (% of economically active children ages 7-14) | SL.MNF.0714.ZS | 6.68 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in services, female (% of female economically active children ages 7-14) | SL.SRV.0714.FE.ZS | 32.37 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in services, male (% of male economically active children ages 7-14) | SL.SRV.0714.MA.ZS | 22.64 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Child employment in services (% of economically active children ages 7-14) | SL.SRV.0714.ZS | 27.07 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Employees, services, female (% of female employment) | SL.SRV.EMPL.FE.ZS | 32.7000007629 | 31.7999992371 | 34 | 34.7000007629 | 34.9000015259 | 28.8999996185 | 30.7999992371 | 31.1000003815 | 32.4000015259 | 30.5 | 34.2000007629 | 36.2000007629 | 40.0999984741 | 39.0999984741 | 41.7000007629 | 40 | 42.5999984741 | 38.2999992371 | 39.4000015259 | 38.7999992371 | 37.2999992371 | 41.2000007629 | 39.7000007629 | 43.5 | 43.5 | 45.2999992371 | 46.2999992371 | 47 | |||||||||||||||||||||||||
Employees, services, male (% of male employment) | SL.SRV.EMPL.MA.ZS | 29.3999996185 | 29.7000007629 | 30.6000003815 | 37.7000007629 | 37.9000015259 | 31.3999996185 | 30.2000007629 | 29.7000007629 | 30.7000007629 | 31.2000007629 | 33.0999984741 | 34.2000007629 | 36.2000007629 | 37.0999984741 | 38.5999984741 | 38 | 37.5 | 36.7000007629 | 36.4000015259 | 35.7999992371 | 35.0999984741 | 37.2999992371 | 35.9000015259 | 37.0999984741 | 37.7999992371 | 38.0999984741 | 38.5999984741 | 40 | |||||||||||||||||||||||||
Employment in services (% of total employment) | SL.SRV.EMPL.ZS | 30.3999996185 | 30.3999996185 | 31.7999992371 | 36.5 | 36.7000007629 | 30.3999996185 | 30.3999996185 | 30.2000007629 | 31.3999996185 | 30.8999996185 | 33.5 | 35 | 37.5999984741 | 37.9000015259 | 39.7999992371 | 38.7999992371 | 38.9000015259 | 37.2999992371 | 37.5 | 36.9000015259 | 35.9000015259 | 38.7000007629 | 37.2000007629 | 39.2999992371 | 39.9000015259 | 40.7999992371 | 41.5 | 42.2999992371 | |||||||||||||||||||||||||
Children in employment, female (% of female children ages 7-14) | SL.TLF.0714.FE.ZS | 9.101751 | 6.2 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, male (% of male children ages 7-14) | SL.TLF.0714.MA.ZS | 8.777495 | 7 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, study and work, female (% of female children in employment, ages 7-14) | SL.TLF.0714.SW.FE.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, study and work, male (% of male children in employment, ages 7-14) | SL.TLF.0714.SW.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, study and work (% of children in employment, ages 7-14) | SL.TLF.0714.SW.ZS | 75.05071 | 89 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, work only, female (% of female children in employment, ages 7-14) | SL.TLF.0714.WK.FE.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, work only, male (% of male children in employment, ages 7-14) | SL.TLF.0714.WK.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, work only (% of children in employment, ages 7-14) | SL.TLF.0714.WK.ZS | 24.94929 | 11 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Children in employment, total (% of children ages 7-14) | SL.TLF.0714.ZS | 8.934132 | 6.6 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Labor force participation rate for ages 15-24, female (%) | SL.TLF.ACTI.1524.FE.ZS | 42.0999984741 | 41.2000007629 | 40.4000015259 | 41.5 | 42.5999984741 | 42.7999992371 | 43 | 41.7000007629 | 39.0999984741 | 43.4000015259 | 43.5999984741 | 43.9000015259 | 44.2000007629 | 44.2000007629 | 44.2000007629 | 44.2000007629 | 43.5 | 42.7999992371 | 42.0999984741 | 41.2999992371 | 40.7000007629 | 40.7000007629 | |||||||||||||||||||||||||||||||
Labor force participation rate for ages 15-24, male (%) | SL.TLF.ACTI.1524.MA.ZS | 60.2999992371 | 61 | 61.5999984741 | 58.9000015259 | 56 | 59.5999984741 | 62.7999992371 | 62.4000015259 | 55 | 67.1999969482 | 66.5 | 65.6999969482 | 64.8000030518 | 64.8000030518 | 64.8000030518 | 64.6999969482 | 63.9000015259 | 63.0999984741 | 62.2000007629 | 62.5 | 61.5 | 61.0999984741 | |||||||||||||||||||||||||||||||
Labor force participation rate for ages 15-24, total (%) | SL.TLF.ACTI.1524.ZS | 51.2999992371 | 51.2000007629 | 51.0999984741 | 50.2000007629 | 49.4000015259 | 51.2999992371 | 53 | 52.0999984741 | 47.0999984741 | 55.4000015259 | 55.2000007629 | 55 | 54.5999984741 | 54.5999984741 | 54.5999984741 | 54.5999984741 | 53.7999992371 | 53.0999984741 | 52.2999992371 | 52 | 51.2000007629 | 51 | |||||||||||||||||||||||||||||||
Labor force participation rate, female (% of female population ages 15-64) | SL.TLF.ACTI.FE.ZS | 51.9000015259 | 51 | 50.0999984741 | 51.4000015259 | 52.7000007629 | 52.7999992371 | 53 | 51 | 51.5 | 52.7000007629 | 52.2000007629 | 51.7000007629 | 51.2000007629 | 51.5 | 51.7000007629 | 52 | 52.4000015259 | 52.7999992371 | 53.2000007629 | 53.2000007629 | 53.2000007629 | ||||||||||||||||||||||||||||||||
Labor force participation rate, male (% of male population ages 15-64) | SL.TLF.ACTI.MA.ZS | 82.5999984741 | 82.9000015259 | 83.3000030518 | 83.8000030518 | 83.6999969482 | 85 | 86.0999984741 | 84.8000030518 | 82.8000030518 | 86.5 | 86.6999969482 | 86.6999969482 | 86.8000030518 | 87 | 87.1999969482 | 87.4000015259 | 87.0999984741 | 86.5999984741 | 86.0999984741 | 86.4000015259 | 86.3000030518 | ||||||||||||||||||||||||||||||||
Labor force participation rate, total (% of total population ages 15-64) | SL.TLF.ACTI.ZS | 67.1999969482 | 66.9000015259 | 66.5999984741 | 67.5 | 68.1999969482 | 68.9000015259 | 69.5 | 67.8000030518 | 67.1999969482 | 69.5999984741 | 69.4000015259 | 69.1999969482 | 69 | 69.1999969482 | 69.4000015259 | 69.6999969482 | 69.6999969482 | 69.6999969482 | 69.5999984741 | 69.8000030518 | 69.6999969482 | ||||||||||||||||||||||||||||||||
Labor participation rate, female (% of female population ages 15+) | SL.TLF.CACT.FE.ZS | 50.2000007629 | 49.2999992371 | 48.5 | 49.5999984741 | 50.7000007629 | 50.9000015259 | 51.0999984741 | 49.2999992371 | 49.7000007629 | 50.9000015259 | 50.4000015259 | 49.9000015259 | 49.4000015259 | 49.5999984741 | 49.7999992371 | 50 | 50.2999992371 | 50.7000007629 | 51 | 51.0999984741 | 51 | ||||||||||||||||||||||||||||||||
Ratio of female to male labor participation rate (%) | SL.TLF.CACT.FM.ZS | 61.8988923643 | 60.4907966099 | 59.2909513332 | 60.3406329873 | 61.8292692231 | 61.1044413699 | 60.5450207942 | 59.326113288 | 61.1316099598 | 60.0944549703 | 59.4339619246 | 58.8443393044 | 58.2547166841 | 58.3529393813 | 58.4507054235 | 58.6166450307 | 59.1764696907 | 60.0000009029 | 60.7142857143 | 60.6168405982 | 60.5700734542 | ||||||||||||||||||||||||||||||||
Labor participation rate, male (% of male population ages 15+) | SL.TLF.CACT.MA.ZS | 81.0999984741 | 81.5 | 81.8000030518 | 82.1999969482 | 82 | 83.3000030518 | 84.4000015259 | 83.0999984741 | 81.3000030518 | 84.6999969482 | 84.8000030518 | 84.8000030518 | 84.8000030518 | 85 | 85.1999969482 | 85.3000030518 | 85 | 84.5 | 84 | 84.3000030518 | 84.1999969482 | ||||||||||||||||||||||||||||||||
Labor participation rate, total (% of total population ages 15+) | SL.TLF.CACT.ZS | 65.5999984741 | 65.3000030518 | 65 | 65.8000030518 | 66.3000030518 | 67 | 67.5999984741 | 66.0999984741 | 65.4000015259 | 67.5999984741 | 67.4000015259 | 67.1999969482 | 67 | 67.0999984741 | 67.3000030518 | 67.5 | 67.5 | 67.4000015259 | 67.3000030518 | 67.5 | 67.4000015259 | ||||||||||||||||||||||||||||||||
Part time employment, female (% of total female employment) | SL.TLF.PART.FE.ZS | 37.7999992371 | 36.5 | 39 | 37.7999992371 | 33.0999984741 | 31.3999996185 | 31.7000007629 | 31 | |||||||||||||||||||||||||||||||||||||||||||||
Part time employment, male (% of total male employment) | SL.TLF.PART.MA.ZS | 20.6000003815 | 19.7000007629 | 22.6000003815 | 22.1000003815 | 18.5 | 16.7999992371 | 18.1000003815 | 16.7000007629 | |||||||||||||||||||||||||||||||||||||||||||||
Part time employment, female (% of total part time employment) | SL.TLF.PART.TL.FE.ZS | 46.5 | 46.7999992371 | 45.5 | 45.2000007629 | 46.5 | 46.7999992371 | 43.5999984741 | 44.2999992371 | |||||||||||||||||||||||||||||||||||||||||||||
Part time employment, total (% of total employment) | SL.TLF.PART.ZS | 26.1000003815 | 25.1000003815 | 27.8999996185 | 27.2999992371 | 23.2000007629 | 21.3999996185 | 22.2000007629 | 21 | |||||||||||||||||||||||||||||||||||||||||||||
Labor force with primary education, female (% of female labor force) | SL.TLF.PRIM.FE.ZS | 57.7000007629 | 50.9000015259 | 46.7000007629 | 22.1000003815 | 51 | 51.0999984741 | 51.5999984741 | 56.0999984741 | 55 | 55.5999984741 | 53.2999992371 | 53.9000015259 | 51.5999984741 | ||||||||||||||||||||||||||||||||||||||||
Labor force with primary education, male (% of male labor force) | SL.TLF.PRIM.MA.ZS | 57.5 | 54.4000015259 | 53.0999984741 | 31.7000007629 | 55.4000015259 | 55.4000015259 | 56.2000007629 | 59.4000015259 | 58.2000007629 | 59.5999984741 | 56.7999992371 | 57.5 | 54.5999984741 | ||||||||||||||||||||||||||||||||||||||||
Labor force with primary education (% of total) | SL.TLF.PRIM.ZS | 57.5999984741 | 52.5999984741 | 50.5999984741 | 27.5 | 53.2000007629 | 53.2000007629 | 54 | 57.7000007629 | 56.4000015259 | 57.5999984741 | 55.0999984741 | 55.7000007629 | 53.5 | ||||||||||||||||||||||||||||||||||||||||
Labor force with secondary education, female (% of female labor force) | SL.TLF.SECO.FE.ZS | 12.1000003815 | 13.6999998093 | 15.1999998093 | 7.5999999046 | 16 | 15.6999998093 | 15.8999996185 | 16.5 | 16.8999996185 | 17.8999996185 | 19.1000003815 | 18 | 19 | ||||||||||||||||||||||||||||||||||||||||
Labor force with secondary education, male (% of male labor force) | SL.TLF.SECO.MA.ZS | 14.8000001907 | 18.8999996185 | 20.2999992371 | 8.1000003815 | 22.2000007629 | 21.5 | 21.6000003815 | 22.6000003815 | 22.7000007629 | 22.8999996185 | 24.1000003815 | 22.7000007629 | 24.2999992371 | ||||||||||||||||||||||||||||||||||||||||
Labor force with secondary education (% of total) | SL.TLF.SECO.ZS | 13.3999996185 | 16.2999992371 | 18.3999996185 | 7.8000001907 | 19.3999996185 | 19 | 19.2000007629 | 20 | 20.2000007629 | 20.7000007629 | 21.8999996185 | 20.6000003815 | 22.2999992371 | ||||||||||||||||||||||||||||||||||||||||
Labor force with tertiary education, female (% of female labor force) | SL.TLF.TERT.FE.ZS | 12.3999996185 | 2.2000000477 | 4 | 15.1000003815 | 4.6999998093 | 5.0999999046 | 5.1999998093 | 4.6999998093 | 5.6999998093 | 6.4000000954 | 7.4000000954 | 7.9000000954 | 8.6000003815 | ||||||||||||||||||||||||||||||||||||||||
Labor force with tertiary education, male (% of male labor force) | SL.TLF.TERT.MA.ZS | 18.2000007629 | 5 | 4.3000001907 | 8.8000001907 | 4.8000001907 | 5 | 4.8000001907 | 4.5999999046 | 5.1999998093 | 5.3000001907 | 5.5999999046 | 5.9000000954 | 6.1999998093 | ||||||||||||||||||||||||||||||||||||||||
Labor force with tertiary education (% of total) | SL.TLF.TERT.ZS | 15.1999998093 | 3 | 4.1999998093 | 11.6999998093 | 4.5999999046 | 5 | 4.9000000954 | 4.5 | 5.3000001907 | 5.5999999046 | 6.1999998093 | 6.5 | 7.0999999046 | ||||||||||||||||||||||||||||||||||||||||
Labor force, female (% of total labor force) | SL.TLF.TOTL.FE.ZS | 38.5677420083 | 38.0449257151 | 37.5959848518 | 37.9779318598 | 38.5253030938 | 38.2723461148 | 38.0821215925 | 37.5760570459 | 38.2892283212 | 37.9414649603 | 37.6851989061 | 37.4281901274 | 37.1703445578 | 37.2728137335 | 37.3207575099 | 37.3698091365 | 37.6056930908 | 37.9738236886 | 38.2683671449 | 38.2418684235 | 38.2339603615 | ||||||||||||||||||||||||||||||||
Labor force, total | SL.TLF.TOTL.IN | 76841491.70064 | 78446143.039109 | 80035566.1902135 | 83003583.5843544 | 85651502.1007648 | 88618908.76 | 91521237.6816671 | 91570209.0921565 | 92656874.7905814 | 97871709.5014144 | 99627159.9314745 | 101317022.384121 | 102945551.789986 | 104987417.513324 | 107158686.076268 | 109313025.525 | 111122414.808312 | 112737674.291312 | 114325144.035913 | 116407259.694375 | 117961804.410555 | ||||||||||||||||||||||||||||||||
Unemployment, youth female (% of female labor force ages 15-24) | SL.UEM.1524.FE.ZS | 9.4 | 6.4 | 7.7 | 8.8 | 8.9 | 9.1 | 17 | 20.5 | 20.1 | 26.5 | 31.5 | 33.5 | 37.7 | 34.3 | 27.3 | 25.5 | 23 | ||||||||||||||||||||||||||||||||||||
Unemployment, youth male (% of male labor force ages 15-24) | SL.UEM.1524.MA.ZS | 8.7 | 7.2 | 8.8 | 9.1 | 9 | 8.6 | 14.3 | 17.9 | 19.7 | 22.3 | 25.5 | 26.9 | 28.9 | 27.7 | 23.8 | 21.8 | 21.6 | ||||||||||||||||||||||||||||||||||||
Unemployment, youth total (% of total labor force ages 15-24) | SL.UEM.1524.ZS | 9 | 6.9 | 8.3 | 9 | 8.9 | 8.8 | 15.4 | 19 | 19.9 | 24.1 | 27.9 | 27.9 | 29.6 | 32.4 | 30.4 | 25.1 | 23.3 | 22.2 | |||||||||||||||||||||||||||||||||||
Long-term unemployment, female (% of female unemployment) | SL.UEM.LTRM.FE.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Long-term unemployment, male (% of male unemployment) | SL.UEM.LTRM.MA.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Long-term unemployment (% of total unemployment) | SL.UEM.LTRM.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Unemployment with primary education, female (% of female unemployment) | SL.UEM.PRIM.FE.ZS | 34.5 | 36.2999992371 | 37.4000015259 | 42.4000015259 | 45.9000015259 | 49.4000015259 | 49.9000015259 | 48.2000007629 | 48.5 | 47.9000015259 | 43.2999992371 | 43.7999992371 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with primary education, male (% of male unemployment) | SL.UEM.PRIM.MA.ZS | 36.7000007629 | 38.2999992371 | 39 | 46 | 46 | 49.0999984741 | 49.7999992371 | 48.7000007629 | 50.2000007629 | 49.2999992371 | 45.2999992371 | 43 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with primary education (% of total unemployment) | SL.UEM.PRIM.ZS | 29.8999996185 | 23.6000003815 | 23.2000007629 | 26.6000003815 | 37.4000015259 | 40.4000015259 | 36.7000007629 | 33.2999992371 | 29.8999996185 | 25.7000007629 | 26.3999996185 | 26.5 | 35.5999984741 | 37.5999984741 | 35.7000007629 | 37.4000015259 | 38.2999992371 | 44.5 | 46 | 49.2999992371 | 49.9000015259 | 48.4000015259 | 49.4000015259 | 48.7000007629 | 44.4000015259 | 43.4000015259 | |||||||||||||||||||||||||||
Unemployment with secondary education, female (% of female unemployment) | SL.UEM.SECO.FE.ZS | 50.0999984741 | 48.7999992371 | 46.7999992371 | 43.7999992371 | 33.2999992371 | 31.8999996185 | 31.1000003815 | 33.4000015259 | 35.2000007629 | 35.5 | 38.5999984741 | 37.4000015259 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with secondary education, male (% of male unemployment) | SL.UEM.SECO.MA.ZS | 50.2999992371 | 49.2000007629 | 48.5999984741 | 43.7999992371 | 40 | 38.9000015259 | 38.5999984741 | 38.4000015259 | 38.2000007629 | 40.2999992371 | 42.2999992371 | 43.0999984741 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with secondary education (% of total unemployment) | SL.UEM.SECO.ZS | 64.4000015259 | 68.4000015259 | 68.9000015259 | 67.5999984741 | 55.5999984741 | 54.2999992371 | 54.9000015259 | 53.7000007629 | 54.9000015259 | 64.3000030518 | 62.9000015259 | 61.5 | 57.0999984741 | 48.2000007629 | 50.2000007629 | 49 | 47.9000015259 | 43.7999992371 | 36.5999984741 | 35.5 | 34.9000015259 | 36 | 36.7999992371 | 38 | 40.7000007629 | 40.5999984741 | |||||||||||||||||||||||||||
Unemployment with tertiary education, female (% of female unemployment) | SL.UEM.TERT.FE.ZS | 10.6999998093 | 10 | 11.3000001907 | 9.6999998093 | 7.3000001907 | 6.4000000954 | 4.9000000954 | 6.6999998093 | 7 | 7.5 | 12.5 | 12.5 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with tertiary education, male (% of male unemployment) | SL.UEM.TERT.MA.ZS | 7.5 | 7.3000001907 | 7.6999998093 | 6.5999999046 | 6.1999998093 | 5.0999999046 | 4.1999998093 | 4.8000001907 | 5 | 5 | 7.3000001907 | 8.3999996185 | |||||||||||||||||||||||||||||||||||||||||
Unemployment with tertiary education (% of total unemployment) | SL.UEM.TERT.ZS | 5.6999998093 | 7.9000000954 | 7.8000001907 | 5.9000000954 | 7 | 5.3000001907 | 8.3000001907 | 13.1000003815 | 15.1999998093 | 10 | 10.8000001907 | 12.1000003815 | 7.3000001907 | 9.3000001907 | 9 | 8.5 | 9.1999998093 | 7.9000000954 | 6.6999998093 | 5.6999998093 | 4.5 | 5.6999998093 | 5.9000000954 | 6.1999998093 | 9.6000003815 | 10.1999998093 | |||||||||||||||||||||||||||
Unemployment, female (% of female labor force) | SL.UEM.TOTL.FE.ZS | 3.5 | 2.0999999046 | 2.7000000477 | 2.7999999523 | 2.7000000477 | 3 | 5.5 | 6.0999999046 | 6.8000001907 | 6.6999998093 | 10.6000003815 | 13 | 12.8999996185 | 14.1999998093 | 13.3999996185 | 10.8000001907 | 9.6999998093 | 8.5 | 8.7 | ||||||||||||||||||||||||||||||||||
Unemployment, male (% of male labor force) | SL.UEM.TOTL.MA.ZS | 2.7000000477 | 2.2000000477 | 2.7000000477 | 2.9000000954 | 2.7999999523 | 2.7000000477 | 3.7999999523 | 5 | 6 | 5.6999998093 | 6.5999999046 | 7.5999999046 | 8.1000003815 | 9.5 | 8.5 | 8.1000003815 | 7.5999999046 | 7.5 | 6.1 | ||||||||||||||||||||||||||||||||||
Unemployment, total (% of total labor force) | SL.UEM.TOTL.ZS | 3 | 2.2000000477 | 2.7000000477 | 2.7999999523 | 2.7999999523 | 2.7999999523 | 4.4000000954 | 4.6999998093 | 5.5 | 6.3000001907 | 6.0999999046 | 8.1000003815 | 9.1000003815 | 9.5 | 9.8999996185 | 11.1999998093 | 10.3000001907 | 9.1000003815 | 8.3999996185 | 7.9000000954 | 7.1 | ||||||||||||||||||||||||||||||||
Emigration rate of tertiary educated (% of total tertiary educated population) | SM.EMI.TERT.ZS | 5.559114912 | 2.9191681736 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Net migration | SM.POP.NETM | -361 | -103541 | -85976 | -11177 | -63732 | -78178 | -263782 | -719986 | -775921 | -1184298 | -1293089 | ||||||||||||||||||||||||||||||||||||||||||
Refugee population by country or territory of asylum | SM.POP.REFG | 3278 | 3156 | 3530 | 2402 | 97 | 19 | 61 | 34 | 47 | 162506 | 122618 | 73551 | 28596 | 233 | 169 | 89 | 301 | 315 | 369 | 798 | 811 | ||||||||||||||||||||||||||||||||
Refugee population by country or territory of origin | SM.POP.REFG.OR | 7169 | 6164 | 6829 | 7924 | 8726 | 9836 | 11365 | 8799 | 9053 | 2214 | 9149 | 8970 | 9911 | 16240 | 27919 | 34384 | 34728 | 20558 | 19345 | 18213 | 16892 | ||||||||||||||||||||||||||||||||
International migrant stock, total | SM.POP.TOTL | 1859466 | 1475121 | 1170220 | 928340 | 756851 | 593098 | 465612 | 219140 | 292307 | 135623 | 122908 | ||||||||||||||||||||||||||||||||||||||||||
International migrant stock (% of population) | SM.POP.TOTL.ZS | 2.0223322639 | 1.4163877076 | 0.9886809707 | 0.6922438312 | 0.5018238822 | 0.3527841961 | 0.2525751327 | 0.1098995123 | 0.1369790468 | 0.0596661265 | 0.0512392212 | ||||||||||||||||||||||||||||||||||||||||||
Prevalence of undernourishment (% of population) | SN.ITK.DEFC.ZS | 19.9 | 17.8 | 15.1 | 11.9 | 8.6 | ||||||||||||||||||||||||||||||||||||||||||||||||
Depth of hunger (kilocalories per person per day) | SN.ITK.DPTH | 220 | 210 | 220 | 220 | |||||||||||||||||||||||||||||||||||||||||||||||||
Consumption of iodized salt (% of households) | SN.ITK.SALT.ZS | 73.24 | 62.3 | 62.3 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Vitamin A supplementation coverage rate (% of children ages 6-59 months) | SN.ITK.VITA.ZS | 64 | 61 | 82 | 62 | 73 | 76 | 87 | 86 | 84 | 80.0662379009 | |||||||||||||||||||||||||||||||||||||||||||
Adolescent fertility rate (births per 1,000 women ages 15-19) | SP.ADO.TFRT | 47.848 | 48.089 | 48.33 | 48.571 | 48.812 | 49.053 | 48.266 | 47.479 | 46.692 | 45.905 | 45.118 | 44.563 | 44.008 | 43.453 | 42.898 | ||||||||||||||||||||||||||||||||||||||
Completeness of infant death reporting (% of reported infant deaths to estimated infant deaths) | SP.DTH.INFR.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Completeness of total death reporting (% of reported total deaths to estimated total deaths) | SP.DTH.REPT.ZS | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Mortality rate, adult, female (per 1,000 female adults) | SP.DYN.AMRT.FE | 217.337 | 214.2144 | 211.0918 | 207.9692 | 204.8466 | 201.724 | 198.8524 | 195.9808 | 193.1092 | 190.2376 | 187.366 | 181.3644 | 175.3628 | 169.3612 | |||||||||||||||||||||||||||||||||||||||
Mortality rate, adult, male (per 1,000 male adults) | SP.DYN.AMRT.MA | 256.831 | 253.1524 | 249.4738 | 245.7952 | 242.1166 | 238.438 | 235.0684 | 231.6988 | 228.3292 | 224.9596 | 221.59 | 215.9724 | 210.3548 | 204.7372 | |||||||||||||||||||||||||||||||||||||||
Birth rate, crude (per 1,000 people) | SP.DYN.CBRT.IN | 44.582 | 44.314 | 43.985 | 43.615 | 43.219 | 42.798 | 42.346 | 41.85 | 41.303 | 40.711 | 40.08 | 39.419 | 38.738 | 38.049 | 37.36 | 36.681 | 36.018 | 35.369 | 34.729 | 34.091 | 33.441 | 32.76 | 32.035 | 31.267 | 30.46 | 29.632 | 28.806 | 28.005 | 27.249 | 26.546 | 25.894 | 25.28 | 24.689 | 24.112 | 23.553 | 23.029 | 22.564 | 22.174 | 21.861 | 21.616 | 21.416 | 21.229 | 21.026 | 20.782 | 20.488 | 20.143 | 19.76 | 19.361 | 18.967 | 18.585 | 18.218 | 17.866 | |
Death rate, crude (per 1,000 people) | SP.DYN.CDRT.IN | 20.121 | 19.496 | 18.885 | 18.292 | 17.722 | 17.172 | 16.638 | 16.114 | 15.597 | 15.086 | 14.584 | 14.094 | 13.621 | 13.17 | 12.741 | 12.336 | 11.956 | 11.598 | 11.261 | 10.942 | 10.64 | 10.353 | 10.08 | 9.82 | 9.572 | 9.338 | 9.117 | 8.912 | 8.722 | 8.548 | 8.388 | 8.243 | 8.11 | 7.988 | 7.877 | 7.776 | 7.687 | 7.608 | 7.541 | 7.483 | 7.435 | 7.399 | 7.372 | 7.352 | 7.334 | 7.313 | 7.281 | 7.234 | 7.171 | 7.095 | 7.01 | 6.922 | |
Contraceptive prevalence (% of women ages 15-49) | SP.DYN.CONU.ZS | 8.6 | 26.3 | 31.2 | 38.5 | 47.7 | 49.7 | 53.1 | 54.7 | 54.2 | 54.2 | 57.4 | 55.4 | 55.4 | 54.8 | 52.5 | 60.3 | 56.7 | 57.9 | 61.4 | 56.6 | 60.63 | 55.9 | |||||||||||||||||||||||||||||||
Mortality rate, infant (per 1,000 live births) | SP.DYN.IMRT.IN | 128.1 | 125 | 121.8 | 118.9 | 116.6 | 114.4 | 112 | 108.9 | 105.7 | 102.5 | 99.5 | 96.3 | 93.4 | 90.8 | 88.3 | 86 | 83.5 | 81.3 | 79.3 | 77.5 | 75.7 | 73.5 | 71.3 | 69.1 | 66.9 | 64.7 | 62.5 | 60.4 | 58.1 | 56.1 | 54.1 | 52.1 | 50.1 | 48.1 | 46.5 | 44.9 | 43.4 | 41.5 | 40 | 38.7 | 37.6 | 36.4 | 35.1 | 33.8 | 32.5 | 31.4 | 30.2 | 29 | 28.1 | 26.8 | 25.8 | 24.8 | |
Life expectancy at birth, female (years) | SP.DYN.LE00.FE.IN | 46.301 | 47.072 | 47.829 | 48.574 | 49.307 | 50.029 | 50.739 | 51.439 | 52.128 | 52.805 | 53.469 | 54.12 | 54.756 | 55.376 | 55.98 | 56.569 | 57.141 | 57.699 | 58.242 | 58.771 | 59.287 | 59.79 | 60.281 | 60.759 | 61.226 | 61.681 | 62.124 | 62.557 | 62.978 | 63.389 | 63.79 | 64.181 | 64.562 | 64.933 | 65.296 | 65.649 | 65.995 | 66.331 | 66.66 | 66.981 | 67.29 | 67.584 | 67.863 | 68.132 | 68.398 | 68.675 | 68.98 | 69.323 | 69.707 | 70.131 | 70.584 | 71.052 | |
Life expectancy at birth, total (years) | SP.DYN.LE00.IN | 45.0732682927 | 45.8273658537 | 46.5567073171 | 47.2617560976 | 47.9435365854 | 48.6076585366 | 49.2582439024 | 49.9034390244 | 50.5468536585 | 51.1890243902 | 51.8299756098 | 52.4671463415 | 53.0944390244 | 53.708804878 | 54.3071707317 | 54.8905365854 | 55.4574146341 | 56.0097804878 | 56.5497073171 | 57.0761463415 | 57.5911219512 | 58.0936097561 | 58.584097561 | 59.0631219512 | 59.5306341463 | 59.9866585366 | 60.431195122 | 60.8652195122 | 61.2882682927 | 61.700804878 | 62.1038536585 | 62.496902439 | 62.8804634146 | 63.2545365854 | 63.6206097561 | 63.9777073171 | 64.327804878 | 64.6694390244 | 65.0035609756 | 65.3307073171 | 65.6463658537 | 65.9490731707 | 66.237804878 | 66.5165365854 | 66.7912439024 | 67.0733658537 | 67.3768292683 | 67.7095853659 | 68.0751463415 | 68.4709756098 | 68.8896585366 | 69.3192439024 | |
Life expectancy at birth, male (years) | SP.DYN.LE00.MA.IN | 43.904 | 44.642 | 45.345 | 46.012 | 46.645 | 47.254 | 47.848 | 48.441 | 49.041 | 49.65 | 50.269 | 50.893 | 51.512 | 52.121 | 52.714 | 53.292 | 53.854 | 54.401 | 54.938 | 55.462 | 55.976 | 56.478 | 56.968 | 57.448 | 57.916 | 58.373 | 58.819 | 59.254 | 59.679 | 60.093 | 60.498 | 60.893 | 61.279 | 61.656 | 62.025 | 62.386 | 62.74 | 63.087 | 63.426 | 63.759 | 64.081 | 64.392 | 64.69 | 64.978 | 65.261 | 65.548 | 65.85 | 66.173 | 66.521 | 66.89 | 67.276 | 67.669 | |
Fertility rate, total (births per woman) | SP.DYN.TFRT.IN | 5.666 | 5.656 | 5.645 | 5.634 | 5.623 | 5.612 | 5.599 | 5.582 | 5.556 | 5.521 | 5.474 | 5.413 | 5.338 | 5.251 | 5.152 | 5.043 | 4.927 | 4.806 | 4.682 | 4.557 | 4.43 | 4.301 | 4.167 | 4.028 | 3.887 | 3.745 | 3.606 | 3.472 | 3.346 | 3.229 | 3.122 | 3.024 | 2.934 | 2.849 | 2.771 | 2.699 | 2.635 | 2.579 | 2.53 | 2.489 | 2.453 | 2.419 | 2.386 | 2.353 | 2.318 | 2.282 | 2.246 | 2.21 | 2.176 | 2.145 | 2.117 | 2.09 | |
Survival to age 65, female (% of cohort) | SP.DYN.TO65.FE.ZS | 71.9082819 | 72.7638957 | 73.6195095 | 74.4751233 | 75.3307371 | 76.1440738 | 76.9151334 | 77.686193 | 78.4572526 | 79.2283122 | 79.9105081 | 80.5038403 | 81.0971725 | ||||||||||||||||||||||||||||||||||||||||
Survival to age 65, male (% of cohort) | SP.DYN.TO65.MA.ZS | 64.2250106 | 65.0942778 | 65.963545 | 66.8328122 | 67.7020794 | 68.4857305 | 69.1837655 | 69.8818005 | 70.5798355 | 71.2778705 | 71.9007396 | 72.4484428 | 72.996146 | ||||||||||||||||||||||||||||||||||||||||
Wanted fertility rate (births per woman) | SP.DYN.WFRT | 2.5 | 2.5 | 2.4 | 2.4 | 2.2 | 2.2 | |||||||||||||||||||||||||||||||||||||||||||||||
Female headed households (% of households with a female head) | SP.HOU.FEMA.ZS | 13 | 12.8 | 12.2 | 11.8 | 12.9 | ||||||||||||||||||||||||||||||||||||||||||||||||
Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant) | SP.MTR.1519.ZS | 10.9 | 12.2 | 11.2 | 12.2 | 10.4 | 8.5 | |||||||||||||||||||||||||||||||||||||||||||||||
Population ages 0-14 (% of total) | SP.POP.0014.TO.ZS | 39.9322554702 | 40.3781693692 | 40.8598118985 | 41.3459948137 | 41.8004125064 | 42.1970736354 | 42.5290749521 | 42.7975850073 | 42.997263167 | 43.124869945 | 43.1800808268 | 43.161296015 | 43.0729799178 | 42.928380583 | 42.7439853121 | 42.5315313806 | 42.2946144903 | 42.0322097852 | 41.745152047 | 41.4331687744 | 41.0963605076 | 40.7378198944 | 40.3592656007 | 39.9579821314 | 39.5299195686 | 39.0730728456 | 38.5871194647 | 38.0756682991 | 37.5452407574 | 37.0041645852 | 36.4583653779 | 35.9131716624 | 35.3681892656 | 34.8172920442 | 34.251716751 | 33.6676012371 | 33.0621816674 | 32.4439173144 | 31.8333038386 | 31.2567754723 | 30.7319809234 | 30.2650576461 | 29.8485927489 | 29.4695939986 | 29.1091937532 | 28.7536467539 | 28.3982080332 | 28.0455480703 | 27.6982031044 | 27.3611328798 | 27.0368006275 | 26.7267519862 | |
Population ages 15-64 (% of total) | SP.POP.1564.TO.ZS | 56.4944143891 | 56.1028729189 | 55.6760719603 | 55.2417202946 | 54.8319850589 | 54.4701283659 | 54.1627435428 | 53.9095345245 | 53.7160359285 | 53.5860081233 | 53.5205109354 | 53.521602502 | 53.5858182959 | 53.7018820428 | 53.8555936337 | 54.0370184685 | 54.2425451064 | 54.4735496875 | 54.7314579142 | 55.019109902 | 55.3377321651 | 55.6843776833 | 56.0556646739 | 56.451503803 | 56.8723748826 | 57.3175757685 | 57.7870294024 | 58.2769930601 | 58.7790642898 | 59.282871955 | 59.7812653741 | 60.2684627223 | 60.7456151459 | 61.2204118994 | 61.7037600007 | 62.2011791063 | 62.7162085433 | 63.2405402409 | 63.7540112663 | 64.2304174955 | 64.6526072672 | 65.0144410014 | 65.3242975323 | 65.5976400964 | 65.8562909992 | 66.1157896277 | 66.380232328 | 66.6455582475 | 66.9090227185 | 67.1653285772 | 67.4109027222 | 67.6437446031 | |
Population ages 65 and above (% of total) | SP.POP.65UP.TO.ZS | 3.5733301408 | 3.5189577119 | 3.4641161412 | 3.4122848918 | 3.3676024348 | 3.3327979987 | 3.3081815052 | 3.2928804682 | 3.2867009045 | 3.2891219318 | 3.2994082378 | 3.317101483 | 3.3412017863 | 3.3697373742 | 3.4004210542 | 3.4314501508 | 3.4628404033 | 3.4942405273 | 3.5233900388 | 3.5477213236 | 3.5659073273 | 3.5778024223 | 3.5850697254 | 3.5905140655 | 3.5977055487 | 3.6093513859 | 3.6258511329 | 3.6473386409 | 3.6756949528 | 3.7129634598 | 3.7603692479 | 3.8183656153 | 3.8861955885 | 3.9622960564 | 4.0445232483 | 4.1312196566 | 4.2216097892 | 4.3155424446 | 4.4126848951 | 4.5128070321 | 4.6154118094 | 4.7205013525 | 4.8271097188 | 4.932765905 | 5.0345152476 | 5.1305636184 | 5.2215596388 | 5.3088936822 | 5.3927741771 | 5.473538543 | 5.5522966503 | 5.6295034107 | |
Age dependency ratio (% of working-age population) | SP.POP.DPND | 77.0086495831 | 78.2439914342 | 79.6103720668 | 81.0226029652 | 82.3753050207 | 83.5868631121 | 84.6287567044 | 85.4959440515 | 86.1641468352 | 86.6158788503 | 86.8442551319 | 86.8404444659 | 86.6165399357 | 86.2132130123 | 85.6817337865 | 85.0583226724 | 84.3571311114 | 83.5753325674 | 82.7102799944 | 81.7550305304 | 80.7085257879 | 79.5835818958 | 78.3941026867 | 77.1431994955 | 75.8322915236 | 74.4665552567 | 73.0492136975 | 71.5943029129 | 70.1286014132 | 68.6827859417 | 67.276485993 | 65.9242586968 | 64.6209356179 | 63.3442129797 | 62.0646780665 | 60.768656538 | 59.4484142499 | 58.1264164079 | 56.8528756289 | 55.6894753283 | 54.6728031969 | 53.8119815532 | 53.0823962563 | 52.4445084503 | 51.8457819029 | 51.2498006349 | 50.6472582166 | 50.0475089858 | 49.4566740583 | 48.8863407927 | 48.3439561877 | 47.8333297289 | |
Age dependency ratio, old (% of working-age population) | SP.POP.DPND.OL | 6.3251034273 | 6.2723306825 | 6.22191189 | 6.1770069316 | 6.1416752123 | 6.1185792997 | 6.1078543825 | 6.1081597109 | 6.1186586979 | 6.1380237994 | 6.1647547457 | 6.1976871542 | 6.2352351658 | 6.2748962346 | 6.3139607695 | 6.3501840925 | 6.3839932225 | 6.4145636688 | 6.4375958052 | 6.4481619748 | 6.4438985621 | 6.4251457431 | 6.3955529673 | 6.360351494 | 6.3259281086 | 6.2971110301 | 6.2745068753 | 6.2586253157 | 6.2534084154 | 6.2631302049 | 6.2902135383 | 6.3355948414 | 6.3974915378 | 6.4721813093 | 6.5547435817 | 6.6417063405 | 6.7312898647 | 6.8240126163 | 6.9214231504 | 7.0259655909 | 7.1387868247 | 7.2606966695 | 7.3894552275 | 7.5197307369 | 7.6446990428 | 7.7599672443 | 7.866136432 | 7.9658627248 | 8.0598609246 | 8.1493512486 | 8.2364965103 | 8.3222823393 | |
Age dependency ratio, young (% of working-age population) | SP.POP.DPND.YG | 70.6835461558 | 71.9716607517 | 73.3884601768 | 74.8455960335 | 76.2336298084 | 77.4682838124 | 78.5209023219 | 79.3877843406 | 80.0454881373 | 80.4778550509 | 80.6795003862 | 80.6427573117 | 80.3813047699 | 79.9383167777 | 79.367773017 | 78.7081385799 | 77.9731378889 | 77.1607688986 | 76.2726841892 | 75.3068685555 | 74.2646272258 | 73.1584361527 | 71.9985497194 | 70.7828480014 | 69.506363415 | 68.1694442267 | 66.7747068222 | 65.3356775972 | 63.8751929978 | 62.4196557367 | 60.9862724547 | 59.5886638553 | 58.2234440801 | 56.8720316704 | 55.5099344848 | 54.1269501975 | 52.7171243852 | 51.3024037916 | 49.9314524785 | 48.6635097374 | 47.5340163722 | 46.5512848837 | 45.6929410288 | 44.9247777135 | 44.2010828602 | 43.4898333906 | 42.7811217847 | 42.0816462609 | 41.3968131337 | 40.7369895441 | 40.1074596774 | 39.5110473896 | |
Population growth (annual %) | SP.POP.GROW | 2.4211843412 | 2.4485617402 | 2.4701162077 | 2.4909090859 | 2.5136987305 | 2.5359481827 | 2.5530203591 | 2.5623079914 | 2.5652847669 | 2.5616324234 | 2.5522629199 | 2.5392737964 | 2.5229648474 | 2.5020526666 | 2.4765902933 | 2.447563584 | 2.4135932549 | 2.3779129486 | 2.3453795669 | 2.3176114388 | 2.2912412207 | 2.2652140439 | 2.2325497415 | 2.1864187059 | 2.123845659 | 2.0505659137 | 1.9748694806 | 1.9033826854 | 1.8365924997 | 1.7767936433 | 1.7224407445 | 1.6707650009 | 1.6195753824 | 1.5692551969 | 1.5193579109 | 1.4710927028 | 1.4224801167 | 1.3780172428 | 1.3445591171 | 1.3246644089 | 1.3135067937 | 1.3073254744 | 1.2972021535 | 1.2760842172 | 1.2397167373 | 1.1934578842 | 1.1440403637 | 1.1000575436 | 1.0651959063 | 1.0429900379 | 1.0293478597 | 1.0181417007 | |
Researchers in R&D (per million people) | SP.POP.SCIE.RD.P6 | 210.8011591683 | 197.6008723152 | 89.6112092903 | ||||||||||||||||||||||||||||||||||||||||||||||||||
Technicians in R&D (per million people) | SP.POP.TECH.RD.P6 | |||||||||||||||||||||||||||||||||||||||||||||||||||||
Population, total | SP.POP.TOTL | 91946612 | 94225771 | 96582241 | 99018230 | 101538797 | 104146696 | 106839814 | 109612753 | 112461009 | 115379062 | 118361740 | 121405753 | 124507744 | 127662293 | 130863441 | 134105926 | 137382075 | 140688052 | 144026720 | 147403681 | 150820044 | 154275429 | 157758440 | 161245684 | 164706919 | 168119209 | 171472345 | 174767379 | 178006800 | 181197879 | 184345939 | 187451800 | 190512441 | 193525648 | 196488446 | 199400339 | 202257039 | 205063468 | 207839287 | 210610776 | 213395411 | 216203499 | 219026365 | 221839235 | 224606531 | 227303175 | 229918547 | 232461746 | 234951154 | 237414495 | 239870937 | 242325638 | |
Population, female (% of total) | SP.POP.TOTL.FE.ZS | 50.3044157842 | 50.2871072319 | 50.2688108055 | 50.2506200197 | 50.2338588865 | 50.2193262089 | 50.2073126952 | 50.1973397165 | 50.1884782129 | 50.1795104746 | 50.1696570192 | 50.1587568932 | 50.1471559058 | 50.1352031958 | 50.1233946615 | 50.1120569422 | 50.1012799523 | 50.0909316721 | 50.0808443756 | 50.0707845257 | 50.0606391548 | 50.0504318808 | 50.0403382544 | 50.0305784927 | 50.0214186508 | 50.0130588885 | 50.0055484165 | 49.9988965332 | 49.9932033496 | 49.98856278 | 49.9850484908 | 49.9826851487 | 49.9814728633 | 49.9814094406 | 49.9824791227 | 49.9846657733 | 49.9879860795 | 49.9924179572 | 49.9978509838 | 50.0041436626 | 50.0111977572 | 50.0188232386 | 50.0270264266 | 50.0361234572 | 50.0465467322 | 50.0585093015 | 50.0721651223 | 50.0871607921 | 50.1025998379 | 50.1173110756 | 50.1304991359 | 50.1418985231 | |
Completeness of birth registration, rural (%) | SP.REG.BRTH.RU.ZS | 43 | 41.4 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Completeness of birth registration, urban (%) | SP.REG.BRTH.UR.ZS | 69 | 70.5 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Completeness of birth registration (%) | SP.REG.BRTH.ZS | 55 | 53 | |||||||||||||||||||||||||||||||||||||||||||||||||||
Rural population | SP.RUR.TOTL | 78535279.17368 | 80255292.836914 | 82030001.584048 | 83860717.38806 | 85751138.687252 | 87702974.16856 | 89696938.484444 | 91743901.231446 | 93839490.207762 | 95978534.240948 | 98156207.3646 | 100135222.262894 | 102134449.449664 | 104148685.901502 | 106172388.679002 | 108200684.27458 | 110078211.8862 | 111942950.591464 | 113796663.68576 | 115643199.469654 | 117482781.47424 | 118944813.00471 | 120372844.8888 | 121748553.7042 | 123049245.04652 | 124258588.56399 | 125195388.5314 | 126030000.01827 | 126765762.552 | 127409288.61885 | 127965577.01624 | 128258270.596 | 128458728.71748 | 128566828.99232 | 128582039.0624 | 128505542.47194 | 127738264.578996 | 126866205.620624 | 125903220.564564 | 124866074.431776 | 123765070.47178 | 123692183.81289 | 123583436.1876 | 123424695.17695 | 123196682.2535 | 122886915.50025 | 122467493.570832 | 121968493.814772 | 121401140.881032 | 120780825.69933 | 120117770.41212 | 119500949.774596 | |
Rural population growth (annual %) | SP.RUR.TOTL.ZG | 2.1567066121 | 2.1664774133 | 2.1872339136 | 2.2072242972 | 2.2292068812 | 2.2506446676 | 2.2480826089 | 2.2564375259 | 2.2584758628 | 2.2538793047 | 2.2435597568 | 1.9961332811 | 1.9768581983 | 1.9529473092 | 1.9244531134 | 1.8923609159 | 1.720343973 | 1.6798241516 | 1.6423832111 | 1.6096380351 | 1.5782197936 | 1.2367847079 | 1.1934337365 | 1.136391602 | 1.0626758813 | 0.978014436 | 0.7510839332 | 0.6644348823 | 0.582102013 | 0.5063655453 | 0.4356648614 | 0.2284671859 | 0.1561705401 | 0.0841163674 | 0.011829778 | -0.0595101422 | -0.5988673014 | -0.6850330381 | -0.7619511027 | -0.8271762669 | -0.8856582768 | -0.058908486 | -0.0879566148 | -0.1285310177 | -0.1849093463 | -0.2517574675 | -0.3418910135 | -0.4082872204 | -0.4662487678 | -0.5122731036 | -0.5504863642 | -0.5148362361 | |
Rural population (% of total population) | SP.RUR.TOTL.ZS | 85.414 | 85.1734 | 84.9328 | 84.6922 | 84.4516 | 84.211 | 83.9546 | 83.6982 | 83.4418 | 83.1854 | 82.929 | 82.4798 | 82.0306 | 81.5814 | 81.1322 | 80.683 | 80.1256 | 79.5682 | 79.0108 | 78.4534 | 77.896 | 77.099 | 76.302 | 75.505 | 74.708 | 73.911 | 73.012 | 72.113 | 71.214 | 70.315 | 69.416 | 68.422 | 67.428 | 66.434 | 65.44 | 64.446 | 63.1564 | 61.8668 | 60.5772 | 59.2876 | 57.998 | 57.211 | 56.424 | 55.637 | 54.85 | 54.063 | 53.2656 | 52.4682 | 51.6708 | 50.8734 | 50.076 | 49.3142 | |
Urban population growth (annual %) | SP.URB.GROW | 3.9841372028 | 4.0846317701 | 4.0798492989 | 4.0751397499 | 4.0732224331 | 4.0715237426 | 4.1638912687 | 4.1476406942 | 4.1258763902 | 4.0982433462 | 4.0656189973 | 5.1366121533 | 5.0545458762 | 4.9711239006 | 4.8861644746 | 4.8004407656 | 5.258286673 | 5.1439168756 | 5.0369304713 | 4.938612615 | 4.8452968347 | 5.8074130547 | 5.6535576081 | 5.4942545755 | 5.3257581695 | 5.1531288493 | 5.3627248018 | 5.1802134507 | 5.0094452419 | 4.8520646315 | 4.7059536117 | 4.8691329214 | 4.718810183 | 4.575317825 | 4.4376873158 | 4.3066650593 | 4.9854060149 | 4.8183539714 | 4.6704626539 | 4.5435029304 | 4.4319589783 | 3.1637078756 | 3.1197501407 | 3.066009078 | 2.9981658546 | 2.9215191539 | 2.8650021285 | 2.7919025955 | 2.728893119 | 2.6794607158 | 2.639468802 | 2.5325360423 | |
Urban population | SP.URB.TOTL | 13411332.82632 | 13970478.163086 | 14552239.415952 | 15157512.61194 | 15787658.312748 | 16443721.83144 | 17142875.515556 | 17868851.768554 | 18621518.792238 | 19400527.759052 | 20205532.6354 | 21270530.737106 | 22373294.550336 | 23513607.098498 | 24691052.320998 | 25905241.72542 | 27303863.1138 | 28745101.408536 | 30230056.31424 | 31760481.530346 | 33337262.52576 | 35330615.99529 | 37385595.1112 | 39497130.2958 | 41657673.95348 | 43860620.43601 | 46276956.4686 | 48737378.98173 | 51241037.448 | 53788590.38115 | 56380361.98376 | 59193529.404 | 62053712.28252 | 64958819.00768 | 67906406.9376 | 70894796.52806 | 74518774.421004 | 78197262.379376 | 81936066.435436 | 85744701.568224 | 89630340.52822 | 92511315.18711 | 95442928.8124 | 98414539.82305 | 101409848.7465 | 104416259.49975 | 107451053.429168 | 110493252.185228 | 113550013.118968 | 116633669.30067 | 119753166.58788 | 122824688.225404 | |
Urban population (% of total) | SP.URB.TOTL.IN.ZS | 14.586 | 14.8266 | 15.0672 | 15.3078 | 15.5484 | 15.789 | 16.0454 | 16.3018 | 16.5582 | 16.8146 | 17.071 | 17.5202 | 17.9694 | 18.4186 | 18.8678 | 19.317 | 19.8744 | 20.4318 | 20.9892 | 21.5466 | 22.104 | 22.901 | 23.698 | 24.495 | 25.292 | 26.089 | 26.988 | 27.887 | 28.786 | 29.685 | 30.584 | 31.578 | 32.572 | 33.566 | 34.56 | 35.554 | 36.8436 | 38.1332 | 39.4228 | 40.7124 | 42.002 | 42.789 | 43.576 | 44.363 | 45.15 | 45.937 | 46.7344 | 47.5318 | 48.3292 | 49.1266 | 49.924 | 50.6858 | |
Unmet need for contraception (% of married women ages 15-49) | SP.UWT.TFRT | 14.1 | 10.6 | 9.2 | 8.6 | 9.1 | 15 | |||||||||||||||||||||||||||||||||||||||||||||||
International tourism, number of arrivals | ST.INT.ARVL | 4324000 | 5034000 | 5185000 | 4606000 | 4728000 | 5064000 | 5153000 | 5033000 | 4467000 | 5321000 | 5002000 | 4871000 | 5506000 | 6234000 | 6324000 | 7003000 | |||||||||||||||||||||||||||||||||||||
International tourism, number of departures | ST.INT.DPRT | 2205000 | 2505000 | 3231000 | 3478000 | 3941000 | 4106000 | 4967000 | 5158000 | 5486000 | 5053000 | 6235000 | ||||||||||||||||||||||||||||||||||||||||||
International tourism, receipts (current US$) | ST.INT.RCPT.CD | 5229000000 | 6184000000 | 6648000000 | 4255000000 | 4352000000 | 4975000000 | 5277000000 | 5797000000 | 4461000000 | 5226000000 | 5094000000 | 4890000000 | 5831000000 | 8150000000 | 6054000000 | 7618000000 | |||||||||||||||||||||||||||||||||||||
International tourism, receipts (% of total exports) | ST.INT.RCPT.XP.ZS | 9.880392268 | 10.8898163312 | 10.5125001977 | 7.7575244989 | 7.7936305324 | 7.0445934311 | 8.3941728935 | 8.8062804967 | 6.4277566529 | 6.310636963 | 5.0979854903 | 4.2504074635 | 4.468154381 | 5.2630688372 | 4.5586938685 | 4.357119921 | |||||||||||||||||||||||||||||||||||||
International tourism, receipts for passenger transport items (current US$) | ST.INT.TRNR.CD | 512000000 | 424000000 | 428000000 | 572000000 | 442000000 | 485000000 | 773000000 | 456000000 | 660000000 | ||||||||||||||||||||||||||||||||||||||||||||
International tourism, expenditures for passenger transport items (current US$) | ST.INT.TRNX.CD | 1753000000 | 1345000000 | 1062000000 | 1156000000 | 1428000000 | 1674000000 | 3247000000 | 1592000000 | 2037000000 | ||||||||||||||||||||||||||||||||||||||||||||
International tourism, receipts for travel items (current US$) | ST.INT.TVLR.CD | 5229000000 | 6184000000 | 6648000000 | 4255000000 | 4352000000 | 4975000000 | 5277000000 | 5285000000 | 4037000000 | 4798000000 | 4522000000 | 4448000000 | 5346000000 | 7377000000 | 5598000000 | 6958000000 | |||||||||||||||||||||||||||||||||||||
International tourism, expenditures for travel items (current US$) | ST.INT.TVLX.CD | 2172000000 | 2399000000 | 2411000000 | 2102000000 | 2353000000 | 3197000000 | 3406000000 | 3289000000 | 3082000000 | 3507000000 | 3584000000 | 4030000000 | 4904000000 | 5554000000 | 5316000000 | 6395000000 | |||||||||||||||||||||||||||||||||||||
International tourism, expenditures (current US$) | ST.INT.XPND.CD | 2172000000 | 2399000000 | 2411000000 | 2102000000 | 2353000000 | 3197000000 | 3406000000 | 5042000000 | 4427000000 | 4569000000 | 4740000000 | 5458000000 | 6578000000 | 8801000000 | 6908000000 | 8432000000 | |||||||||||||||||||||||||||||||||||||
International tourism, expenditures (% of total imports) | ST.INT.XPND.MP.ZS | 3.9881750243 | 4.0401488742 | 3.8373388509 | 4.7739789668 | 5.4753383075 | 5.708677886 | 6.7380668834 | 9.5679493552 | 7.7739509027 | 6.3927890546 | 5.1797282356 | 5.7294743668 | 6.002477094 | 6.0723515457 | 6.1894006686 | 5.4918573696 | |||||||||||||||||||||||||||||||||||||
Merchandise trade (% of GDP) | TG.VAL.TOTL.GD.ZS | 21.9735006658 | 19.3749775821 | 18.578337385 | 21.8448461588 | 23.7259824808 | 28.7692862798 | 34.593426879 | 41.3839415301 | 36.9286342965 | 36.1570790212 | 35.2988870119 | 33.7643127514 | 41.3501750492 | 41.9710990781 | 38.4238235152 | 41.3365700098 | 43.9315340597 | 40.8435152906 | 33.0345452942 | 33.4658754989 | 39.5445162291 | 36.8452254724 | 38.0502929791 | 41.5218509801 | 42.9210099759 | 44.0257634689 | 41.233022524 | 40.724249615 | 42.5697000071 | 40.7895210692 | 49.8737294231 | 89.7370299392 | 60.402273602 | 66.0509825423 | 59.1441603576 | 49.8342509945 | 45.2795871096 | 48.9194536172 | 56.9216028967 | 50.5188088083 | 48.8443821234 | 52.3561608928 | 39.5551996362 | 41.4388219795 | 44.6164871862 | ||||||||
Import volume index (2000 = 100) | TM.QTY.MRCH.XD.WD | 46.046719796 | 59.884344608 | 61.759612643 | 53.102896904 | 41.365100742 | 45.041845884 | 46.720059222 | 44.918828747 | 52.488133222 | 66.485612595 | 74.938188813 | 77.52037112 | 82.061502675 | 90.027275875 | 106.33887419 | 114.36510305 | 118.44021511 | 82.390366442 | 73.080283881 | 100 | 93.575805274 | 92.434217393 | 94.722700408 | 111.9081995 | 134.96283084 | 132.20612294 | 140.95753147 | 163.83390889 | 134.96431079 | 180.14165029 | 202.51795587 | ||||||||||||||||||||||
Binding coverage, manufactured products (%) | TM.TAX.MANF.BC.ZS | 96.09 | 96.05 | 96.05 | 96.05 | 96.05 | 96.14 | 96.14 | 96.14 | 96.14 | 96.14 | 96.12 | 96.12 | 96.12 | ||||||||||||||||||||||||||||||||||||||||
Bound rate, simple mean, manufactured products (%) | TM.TAX.MANF.BR.ZS | 35.34 | 35.23 | 35.23 | 35.23 | 35.23 | 35.21 | 35.21 | 35.21 | 35.21 | 35.21 | 35.49 | 35.49 | 35.49 | ||||||||||||||||||||||||||||||||||||||||
Share of tariff lines with international peaks, manufactured products (%) | TM.TAX.MANF.IP.ZS | 49.9168 | 48.37955 | 49.13272 | 40.33342 | 27.42255 | 26.05743 | 11.8226 | 3.291819 | 3.524827 | 3.092366 | 7.96119 | 8.277211 | 8.277211 | 13.67341 | 12.24266 | 7.820251 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, simple mean, manufactured products (%) | TM.TAX.MANF.SM.AR.ZS | 18.91 | 16.88 | 16.89 | 14.32 | 10.6 | 9.72 | 8.09 | 6.07 | 6.26 | 5.73 | 5.9 | 5.9 | 5.9 | 5.78 | 5.19 | 5.03 | |||||||||||||||||||||||||||||||||||||
2 | TM.TAX.MANF.SM.FN.ZS | 23.58 | 19.36 | 18.62 | 16.24 | 12.37 | 11.18 | 8.97 | 7 | 7.03 | 7.03 | 7.13 | 7.13 | 7.13 | 7.04 | 6.91 | 7.33 | |||||||||||||||||||||||||||||||||||||
Share of tariff lines with specific rates, manufactured products (%) | TM.TAX.MANF.SR.ZS | 0.3132239 | 0.322115 | 0 | 0 | 0.0330519 | 0.06036 | 0.0243529 | 0.0238646 | 0.038758 | 0.0276269 | 0.0844494 | 0.1004138 | 0.1298454 | 0.0863167 | 0.1619814 | 0.0768353 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, weighted mean, manufactured products (%) | TM.TAX.MANF.WM.AR.ZS | 15.55 | 15.82 | 14.51 | 13.11 | 9.36 | 8.11 | 6.71 | 5.25 | 5.91 | 4.28 | 4.97 | 4.74 | 4.63 | 4.42 | 3.54 | 2.93 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, weighted mean, manufactured products (%) | TM.TAX.MANF.WM.FN.ZS | 15.55 | 15.82 | 14.51 | 13.15 | 9.36 | 8.11 | 6.71 | 5.47 | 6.25 | 5.68 | 6.52 | 6.53 | 6.53 | 6.46 | 6.44 | 6.84 | |||||||||||||||||||||||||||||||||||||
Binding coverage, all products (%) | TM.TAX.MRCH.BC.ZS | 96.61 | 96.58 | 96.58 | 96.58 | 96.58 | 96.59 | 96.59 | 96.59 | 96.59 | 96.59 | 96.58 | 96.58 | 96.58 | ||||||||||||||||||||||||||||||||||||||||
Bound rate, simple mean, all products (%) | TM.TAX.MRCH.BR.ZS | 37.18 | 37.13 | 37.13 | 37.13 | 37.13 | 37.14 | 37.14 | 37.14 | 37.14 | 37.14 | 37.45 | 37.45 | 37.45 | ||||||||||||||||||||||||||||||||||||||||
Share of tariff lines with international peaks, all products (%) | TM.TAX.MRCH.IP.ZS | 49.22224 | 47.78608 | 48.31052 | 39.03874 | 26.98699 | 25.90663 | 10.45298 | 3.185783 | 3.64239 | 3.176939 | 7.626908 | 7.872895 | 7.872895 | 12.72942 | 11.47197 | 7.034948 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, simple mean, all products (%) | TM.TAX.MRCH.SM.AR.ZS | 18.74 | 16.83 | 16.74 | 14.01 | 10.76 | 9.86 | 7.78 | 6.07 | 6.45 | 5.95 | 6.07 | 6 | 5.99 | 5.88 | 5.24 | 4.79 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, simple mean, all products (%) | TM.TAX.MRCH.SM.FN.ZS | 22.18 | 18.7 | 17.92 | 15.34 | 12.35 | 11.19 | 8.43 | 6.89 | 6.9 | 6.9 | 6.95 | 6.95 | 6.95 | 6.9 | 6.81 | 6.72 | |||||||||||||||||||||||||||||||||||||
Share of tariff lines with specific rates, all products (%) | TM.TAX.MRCH.SR.ZS | 0.2859293 | 0.2690458 | 0 | 0 | 0.0273424 | 0.0527221 | 0.0197401 | 0.0761109 | 0.0602634 | 0.1741611 | 0.2083417 | 0.3104931 | 0.337756 | 0.2050021 | 0.2821708 | 0.5380291 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, weighted mean, all products (%) | TM.TAX.MRCH.WM.AR.ZS | 12.96 | 13.32 | 12.51 | 10.84 | 7.73 | 6.05 | 5.16 | 4.13 | 5.5 | 4 | 4.67 | 4.39 | 4.31 | 3.85 | 3.15 | 2.49 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, weighted mean, all products (%) | TM.TAX.MRCH.WM.FN.ZS | 12.96 | 13.32 | 12.51 | 10.89 | 7.73 | 6.05 | 5.16 | 4.31 | 5.79 | 5.22 | 6.09 | 6.07 | 6.07 | 5.44 | 5.33 | 5.45 | |||||||||||||||||||||||||||||||||||||
Binding coverage, primary products (%) | TM.TAX.TCOM.BC.ZS | 99.21 | 99.22 | 99.22 | 99.22 | 99.22 | 99.24 | 99.24 | 99.24 | 99.24 | 99.24 | 99.19 | 99.19 | 99.19 | ||||||||||||||||||||||||||||||||||||||||
Bound rate, simple mean, primary products (%) | TM.TAX.TCOM.BR.ZS | 43.23 | 43.46 | 43.46 | 43.46 | 43.46 | 43.47 | 43.47 | 43.47 | 43.47 | 43.47 | 43.69 | 43.69 | 43.69 | ||||||||||||||||||||||||||||||||||||||||
Share of tariff lines with international peaks, primary products (%) | TM.TAX.TCOM.IP.ZS | 45.96503 | 45.11861 | 44.99149 | 33.6293 | 25.27156 | 25.8067 | 4.516899 | 2.608752 | 4.16964 | 3.48636 | 5.35873 | 5.079172 | 5.079172 | 7.332511 | 7.011212 | 2.414649 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, simple mean, primary products (%) | TM.TAX.TCOM.SM.AR.ZS | 17.66 | 16.48 | 15.92 | 12.28 | 11.73 | 10.75 | 6.02 | 6.07 | 7.67 | 7.34 | 7.24 | 6.64 | 6.64 | 6.62 | 5.67 | 3.21 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, simple mean, primary products (%) | TM.TAX.TCOM.SM.FN.ZS | 17.57 | 16.56 | 15.61 | 12.41 | 12.32 | 11.3 | 6.62 | 6.56 | 6.52 | 6.47 | 6.47 | 6.47 | 6.47 | 6.56 | 6.6 | 4.74 | |||||||||||||||||||||||||||||||||||||
Share of tariff lines with specific rates, primary products (%) | TM.TAX.TCOM.SR.ZS | 0.1464129 | 0 | 0 | 0 | 0 | 0.0154024 | 0 | 0.3065284 | 0.1631155 | 0.8324404 | 1.066667 | 1.790499 | 1.80268 | 0.8960131 | 0.9906312 | 3.279898 | |||||||||||||||||||||||||||||||||||||
Tariff rate, applied, weighted mean, primary products (%) | TM.TAX.TCOM.WM.AR.ZS | 5.81 | 5.26 | 5.95 | 4.84 | 3.72 | 3.25 | 2.76 | 2.37 | 4.14 | 3.05 | 3.6 | 3.33 | 3.33 | 2.56 | 2.28 | 1.57 | |||||||||||||||||||||||||||||||||||||
Tariff rate, most favored nation, weighted mean, primary products (%) | TM.TAX.TCOM.WM.FN.ZS | 5.81 | 5.26 | 5.95 | 4.92 | 3.72 | 3.25 | 2.76 | 2.49 | 4.28 | 3.66 | 4.54 | 4.62 | 4.62 | 3.16 | 2.84 | 2.49 | |||||||||||||||||||||||||||||||||||||
Agricultural raw materials imports (% of merchandise imports) | TM.VAL.AGRI.ZS.UN | 1.417593769 | 1.4627248416 | 1.8142853785 | 1.228927004 | 1.6575950456 | 1.6665585761 | 2.1277225966 | 2.4871271337 | 2.8128038214 | 2.4519092577 | 2.825019259 | 3.2019763364 | 3.6609328791 | 3.5350461284 | 3.1971969199 | 2.5693237456 | 2.6354585839 | 3.9127350618 | 4.1075837623 | 4.1063493293 | 4.9939217207 | 5.3768681437 | 5.4233239408 | 4.6840712675 | 4.7409983486 | 5.6109665172 | 5.2118565201 | 5.625641179 | 6.1822604725 | 5.4530809394 | 4.745813394 | 6.6823001616 | 7.107676425 | 7.1788872279 | 7.4744766261 | 5.8034911093 | 5.3118654593 | 4.5520135583 | 3.4534714867 | 3.4120651831 | 3.5120119884 | 3.0399452026 | 2.8010064221 | 3.0771248791 | |||||||||
Food imports (% of merchandise imports) | TM.VAL.FOOD.ZS.UN | 9.2591239609 | 24.9861105616 | 15.5624336931 | 15.3722145562 | 9.4221304075 | 9.9441503684 | 10.3181200366 | 14.969100867 | 12.5032215169 | 14.5734624761 | 16.3414187617 | 17.6379704732 | 16.0043234843 | 12.6780338096 | 11.0492752861 | 7.1641942432 | 7.7277878812 | 6.5035462092 | 6.909114738 | 7.1745270321 | 6.9989217136 | 7.664208345 | 7.603111766 | 5.0511497113 | 5.4745378947 | 6.3579132672 | 6.4646726155 | 7.7581812472 | 8.835954924 | 10.7888197695 | 8.8165554975 | 10.5220435888 | 15.7014358338 | 10.0047353948 | 9.923356388 | 11.1192414187 | 11.4955348446 | 9.6876137708 | 8.0798018461 | 8.858846005 | 10.5501512452 | 7.2579850274 | 8.9166921574 | 8.4594130715 | 9.4324303102 | ||||||||
Fuel imports (% of merchandise imports) | TM.VAL.FUEL.ZS.UN | 2.1608950188 | 0.8765741502 | 2.3073181875 | 1.6546297265 | 2.6165829862 | 2.5513406159 | 1.8282323833 | 4.807237224 | 5.3832030722 | 7.7626326292 | 11.8832160737 | 8.7537538277 | 11.0967226948 | 16.1871606656 | 13.2697143461 | 21.4701987202 | 25.3273306095 | 19.501792521 | 12.5379393256 | 10.3100578121 | 9.0911843309 | 7.2189088784 | 7.7160794334 | 8.9138954414 | 9.0363102496 | 7.7944090917 | 7.7058663642 | 7.6797133442 | 7.5127133179 | 8.7142372434 | 9.7591219815 | 10.0049820795 | 15.6998065567 | 18.501474293 | 18.2820703366 | 21.4849579804 | 24.1091208539 | 25.8048722658 | 30.7834231734 | 31.5112003475 | 29.7033761501 | 23.8505819854 | 19.8051655483 | 20.3930524268 | 23.1144745605 | ||||||||
ICT goods imports (% total goods imports) | TM.VAL.ICTG.ZS.UN | 2.0902481142 | 2.5285460779 | 2.9468870396 | 3.5152132454 | 3.8294327874 | 3.600828906 | 3.4992144494 | 4.9520250804 | 9.0613604035 | 8.9015182562 | 8.621610902 | ||||||||||||||||||||||||||||||||||||||||||
Insurance and financial services (% of commercial service imports) | TM.VAL.INSF.ZS.WT | 3.9220939819 | 4.3373493976 | 4.8391674551 | 4.0165732391 | 2.7784431138 | 3.1227305737 | 3.1400742115 | 3.360930857 | 3.3490833491 | 3.9725330621 | 4.267565872 | 3.7239979706 | 3.2423137051 | 3.1896551724 | 3.4089191232 | 3.2888949042 | 3.1392623659 | 2.8104514487 | 2.2401034355 | 2.0997306256 | 1.8359632114 | 1.8679220381 | 1.7447765791 | 4.5889469501 | 4.0179572236 | 3.4438251588 | 4.3071299508 | 3.6593302958 | 7.6132817283 | 6.2628628596 | 6.0492595966 | ||||||||||||||||||||||
Manufactures imports (% of merchandise imports) | TM.VAL.MANF.ZS.UN | 85.971847275 | 71.4539985423 | 78.4413436293 | 79.4960463655 | 84.1398968413 | 83.3559316009 | 83.284297284 | 75.3512259541 | 77.3287516235 | 72.8340260749 | 66.7500368998 | 67.5475536345 | 66.2201196875 | 64.9177395003 | 68.9490726236 | 66.2326775395 | 61.921994334 | 66.9599351069 | 72.1113523111 | 74.0599148653 | 74.6092139529 | 75.1809329108 | 74.5274478872 | 76.8646658707 | 76.2830179112 | 75.9917855227 | 76.3246491793 | 75.0919868043 | 72.9140785734 | 71.1960755601 | 73.0964922397 | 69.0979196031 | 57.843600252 | 60.9180718336 | 60.8220359016 | 58.4089417983 | 56.0465899591 | 56.4193152509 | 54.5513260507 | 52.6593521339 | 52.5910588163 | 61.8905121483 | 65.3296707804 | 63.3195913656 | 59.7417652475 | ||||||||
Ores and metals imports (% of merchandise imports) | TM.VAL.MMTL.ZS.UN | 1.1311719177 | 1.1573189038 | 1.6947793572 | 2.1012212277 | 1.9720602329 | 2.2597668463 | 2.4094192967 | 2.3670571401 | 1.9437861924 | 2.3307929454 | 2.0766291673 | 2.4451297839 | 2.6346168647 | 2.4374278889 | 2.996665804 | 2.1919182081 | 2.0255571642 | 2.5373540553 | 3.910282434 | 3.9646915424 | 3.6333473782 | 3.9475763624 | 4.4095737844 | 4.3223843993 | 4.1646818675 | 3.8023472212 | 3.9851030077 | 3.6759336772 | 4.367070514 | 3.6932906654 | 3.3786346514 | 3.2695810357 | 3.4996740125 | 3.3143626633 | 3.3931108222 | 3.0961798213 | 2.9130162118 | 3.4475929045 | 3.1049546495 | 3.5441321376 | 3.5712253504 | 3.9420711692 | 3.063062122 | 3.4187414638 | 3.456815874 | ||||||||
Merchandise imports from economies in the Arab World (% of total merchandise imports) | TM.VAL.MRCH.AL.ZS | 3.4627831715 | 1.3044612575 | 2.6249209361 | 3.6240541617 | 0.0153022188 | 0.0303490137 | 0.0594412522 | 0.0156862745 | 0.0141282848 | 0 | 0 | 0 | 0 | 0 | 2.069396361 | 1.6207489412 | 0.3701288401 | 4.7122100024 | 3.5410002691 | 5.1552812223 | 9.0225425152 | 5.7206375523 | 7.3202125893 | 6.1529146995 | 10.7274338451 | 9.5106474092 | 6.7264657616 | 5.7984199558 | 5.3584402105 | 4.3503492531 | 3.0862197648 | 3.9951386633 | 3.8994247443 | 1.9823440074 | 3.4215905868 | 3.5146952613 | 2.5809077046 | 2.8630987616 | 2.9504946693 | 8.3451975422 | 8.2158070455 | 9.0374295568 | 7.5283972143 | 8.3742584097 | 8.2394734493 | 8.1775478163 | 9.9732894579 | 8.846796837 | 7.2205881228 | 6.5738528875 | 5.8518175677 | ||
Merchandise imports (current US$) | TM.VAL.MRCH.CD.WT | 574100000 | 794000000 | 647100000 | 521400000 | 679900000 | 694600000 | 526600000 | 649200000 | 715800000 | 780700000 | 1001500000 | 1102800000 | 1561700000 | 2729100000 | 3841900000 | 4769800000 | 5673100000 | 6230300000 | 6690400000 | 7202300000 | 10834000000 | 13272000000 | 16859000000 | 16352000000 | 13882000000 | 10262000000 | 10718000000 | 12891000000 | 13249000000 | 16444000000 | 21837000000 | 25869000000 | 27280000000 | 28328000000 | 31983000000 | 40630000000 | 42929000000 | 51304000000 | 35280000000 | 33321000000 | 43595000000 | 37534000000 | 38340000000 | 42196000000 | 54876590000 | 75724931000 | 80649687000 | 93100595000 | 127538457000 | 93785930000 | 135323490000 | 176354558000 | |
Merchandise imports from high-income economies (% of total merchandise imports) | TM.VAL.MRCH.HI.ZS | 79.6925566343 | 72.9976519697 | 70.5407969639 | 61.2704101951 | 52.0581484315 | 60.7283763278 | 74.3015652863 | 78.6196078431 | 77.5360271263 | 80.9462086844 | 80.8653260207 | 81.6656024811 | 80.3391354615 | 80.6739748274 | 87.6018429341 | 85.2476202457 | 86.8798138781 | 86.0881432127 | 87.6326567218 | 86.9325730735 | 90.1746745038 | 88.9701948076 | 91.1927302062 | 92.6459795983 | 93.3279540068 | 91.7769688948 | 91.1802551097 | 89.4824422257 | 88.1051226926 | 83.0707826849 | 85.5693680945 | 87.5812251479 | 88.5914909521 | 86.4855797609 | 85.1327569682 | 79.0845789247 | 81.6798304981 | 82.0206638839 | 80.9848597654 | 76.834062685 | 77.4176989049 | 76.544358721 | 71.4796857086 | 68.2281565078 | 67.3948107219 | 69.6240575965 | 67.913013015 | 62.0404911531 | 65.791855622 | 63.3480554828 | 61.7759045586 | ||
Merchandise imports from developing economies outside region (% of total merchandise imports) | TM.VAL.MRCH.OR.ZS | 8.3333333333 | 4.8004174276 | 6.9576217584 | 8.0844285145 | 5.1568477429 | 6.4036418816 | 6.5781652467 | 4.4078431373 | 5.1426956767 | 4.0829552819 | 2.8437944343 | 2.8094499681 | 2.1902498555 | 3.6577713801 | 3.995626936 | 6.132846899 | 4.5613973245 | 3.8195392149 | 5.8892110849 | 5.7946744907 | 3.2452732692 | 5.1953728475 | 4.1764538401 | 2.7648670466 | 3.4228366822 | 4.1051893954 | 3.7240787707 | 4.0006531679 | 4.8891689525 | 8.5085735726 | 8.1652045031 | 5.4716556502 | 4.5290471052 | 6.1964395874 | 6.0090883167 | 7.3879066188 | 7.8259896904 | 8.137570499 | 6.7169990354 | 7.9096273347 | 7.516135048 | 9.1578749772 | 11.2469974155 | 10.6307426726 | 12.0415145884 | 8.5153076685 | 8.1991944914 | 10.1460336366 | 9.3310880452 | 9.9352061305 | 9.7097952759 | ||
Merchandise imports from developing economies in East Asia & Pacific (% of total merchandise imports) | TM.VAL.MRCH.R1.ZS | 4.3873382421 | 2.9920102591 | 3.7217269436 | 4.6471729077 | 5.8559609343 | 6.365927793 | 7.4174418725 | 5.8135876148 | 6.6188764379 | 6.3908402539 | 6.4675710404 | 8.0130977525 | 12.8123478945 | 9.0403595633 | 8.497524676 | 10.7977198672 | 14.6336909537 | 14.1483013539 | 13.3881102979 | 16.493284029 | 20.1681656354 | 20.0407613216 | 21.2888711484 | 23.1818055808 | 27.762471229 | 24.8044807163 | 26.3978335495 | 28.3648793076 | |||||||||||||||||||||||||
Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports) | TM.VAL.MRCH.R2.ZS | 0.991482235 | 1.437128646 | 0.2700198377 | 1.1259596254 | 0.8174874403 | 0.700144234 | 0.8441505313 | 1.0000438409 | 1.0575290063 | 1.2825446883 | 2.0212027745 | 1.6186901998 | 1.5837063919 | 2.5542772183 | 2.9173298171 | 2.3673626278 | 2.2932211063 | ||||||||||||||||||||||||||||||||||||
Merchandise imports from developing economies in Latin America & the Caribbean (% of total merchandise imports) | TM.VAL.MRCH.R3.ZS | 0.8737864078 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4216883151 | 0.4969178513 | 0.2608527063 | 1.2587300313 | 1.1359899555 | 0.7376550044 | 1.0140902254 | 1.9744526923 | 0.9781241844 | 0.7852442574 | 0.9682787836 | 1.8365320979 | 1.6112188572 | 1.6990140276 | 1.6087182148 | 2.6427360511 | 2.3230606321 | 2.25769777 | 1.759980416 | 2.1782389805 | 2.2914231824 | 2.647172157 | 2.485056309 | 2.1126248179 | 1.7990923546 | 2.3556749328 | 1.7115613553 | 1.3850393353 | 1.6041279511 | 1.6774617132 | 2.1206773298 | 1.9584533722 | 2.0160686129 | 2.013544567 | 1.9737111046 | 2.462593439 | 2.4531055487 | ||
Merchandise imports from developing economies in Middle East & North Africa (% of total merchandise imports) | TM.VAL.MRCH.R4.ZS | 3.4466019417 | 1.3044612575 | 2.6249209361 | 3.6240541617 | 0.0153022188 | 0.0303490137 | 0.0594412522 | 0.0156862745 | 0.0141282848 | 0 | 0 | 0 | 0 | 0 | 0.1379597574 | 0.3270851679 | 0.1128011703 | 0.009633138 | 0.0986517593 | 0.182683791 | 0.0987330793 | 0.6526244395 | 0.59078938 | 0.6121725091 | 1.0381619994 | 0.8759294585 | 0.707705505 | 0.9276538832 | 1.3359033286 | 3.7365774755 | 3.6794625919 | 1.1140032966 | 1.1006905535 | 2.1367969295 | 1.2226210629 | 1.0432467917 | 1.4624853854 | 1.4668799893 | 1.0032924119 | 1.0894550649 | 0.5811470762 | 2.1081274984 | 1.5154410023 | 1.4284903066 | 0.7824363692 | 0.5634273098 | 1.3111259753 | 1.4002859842 | 0.9301175671 | 0.8354217407 | 0.9572293212 | ||
Merchandise imports from developing economies in South Asia (% of total merchandise imports) | TM.VAL.MRCH.R5.ZS | 1.8446601942 | 1.8523349857 | 2.4351676154 | 1.0553564317 | 2.0504973221 | 2.564491654 | 3.1503863681 | 2.431372549 | 3.3484035038 | 2.9682436811 | 2.0312817388 | 1.6692511174 | 1.6892542874 | 3.4215480013 | 1.9496577036 | 1.1657650858 | 2.6614026121 | 1.6649273501 | 2.3093480016 | 2.0316651904 | 0.5314976978 | 0.8440408455 | 1.4710418298 | 0.6109493872 | 0.5734746367 | 0.4272589247 | 0.5426674623 | 0.5233118721 | 0.7532063163 | 0.940085843 | 1.3173433555 | 1.2888751602 | 1.2079165487 | 1.458318853 | 1.1201770536 | 1.493097561 | 2.5115408089 | 2.0132666149 | 1.6741245661 | 1.6976038205 | 2.0199629145 | 2.235509632 | 2.3468119617 | 2.2165249467 | 2.5063522935 | 1.9764698981 | 2.4712632378 | 2.3121263432 | 2.3532295092 | 2.457025018 | 2.5855794383 | ||
Merchandise imports from developing economies in Sub-Saharan Africa (% of total merchandise imports) | TM.VAL.MRCH.R6.ZS | 0.0485436893 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4997787438 | 1.9981549042 | 0.8918342528 | 0.4399133018 | 0.9282233715 | 1.6137068202 | 1.1294326078 | 1.1907004785 | 0.6655277956 | 0.2507399887 | 0.306909793 | 0.8408922801 | 0.425182754 | 0.4999844484 | 0.617540218 | 0.5826734914 | 0.3748170723 | 0.3483506515 | 0.3314943494 | 0.3245519313 | 0.3833847827 | 0.7672614631 | 1.0968873478 | 1.4188394515 | 1.4230022625 | 2.0667492825 | 2.3593131707 | 2.4291546706 | 4.7230874941 | 4.0257210179 | 4.6108458214 | 2.3982668886 | 0.8170302735 | 1.8657995238 | 1.1567000496 | 1.812803305 | 1.420659863 | ||
Merchandise imports by the reporting economy, residual (% of total merchandise imports) | TM.VAL.MRCH.RS.ZS | 11.9741100324 | 22.2019306027 | 22.5015812777 | 30.6451612903 | 42.7850038256 | 32.8679817906 | 19.120269467 | 16.9725490196 | 17.3212771969 | 14.9708360337 | 16.290879545 | 15.5249475509 | 17.470614683 | 15.6682537925 | 8.4025301299 | 8.6195328553 | 8.5587887974 | 10.0923175724 | 6.4781321934 | 7.2727524358 | 6.580052227 | 5.8344323449 | 4.6308159537 | 0.2018151129 | 0.2571990519 | 0.3961147662 | 0.448493212 | 0.660943672 | 0.6397805619 | 1.00320187 | 0.4518397877 | 0.328242764 | 0.4886216888 | 0.8504096113 | 0.8450569626 | 0.7151665619 | 1.4538202481 | 1.3442409411 | 1.500421332 | 0.6226190266 | 0.9178646932 | 0.9096560039 | 0.7800328469 | 0.9729351841 | 0.5229133682 | 0.5717635866 | 0.7059869129 | 0.0510039814 | 0.0725756164 | 0.3189048372 | 0.1494208579 | ||
Merchandise imports by the reporting economy (current US$) | TM.VAL.MRCH.WL.CD | 618000000 | 766600000 | 632400000 | 502200000 | 653500000 | 659000000 | 504700000 | 637500000 | 707800000 | 771500000 | 984600000 | 1096300000 | 1556900000 | 2709300000 | 3841700000 | 4769400000 | 5673700000 | 6228500000 | 6690200000 | 7225600000 | 10837300000 | 13269500000 | 16858800000 | 16351600000 | 13880300000 | 10274800000 | 10724800000 | 12860400000 | 13489000000 | 16469978370 | 22005069430 | 25928884760 | 27279796220 | 28328009210 | 32040917000 | 40629696000 | 42902309060 | 41717085000 | 27362327050 | 24004415640 | 33518150910 | 30964232500 | 31292541200 | 32555564560 | 46527868250 | 57713990490 | 61072785080 | 74483761800 | 129273624700 | 96967991680 | 135690995800 | ||
Merchandise imports from developing economies within region (% of total merchandise imports) | TM.VAL.MRCH.WR.ZS | 4.3873382421 | 2.9920102591 | 3.7217269436 | 4.6471729077 | 5.8559609343 | 6.365927793 | 7.4174418725 | 5.8135876148 | 6.6188764379 | 6.3908402539 | 6.4675710404 | 8.0130977525 | 12.8123478945 | 9.0403595633 | 8.497524676 | 10.7977198672 | 14.6336909537 | 14.1483013539 | 13.3881102979 | 16.493284029 | 20.1681656354 | 20.0407613216 | 21.2888711484 | 23.1818055808 | 27.762471229 | 24.8044807163 | 26.3978335495 | 28.3648793076 | |||||||||||||||||||||||||
Import value index (2000 = 100) | TM.VAL.MRCH.XD.WD | 32.325824258 | 39.600179024 | 50.30284947 | 48.790093988 | 41.420259585 | 30.610174549 | 31.979710577 | 36.908846785 | 39.528569297 | 48.813963897 | 65.155900343 | 77.186334477 | 81.396389676 | 84.523347755 | 95.428912427 | 121.22631657 | 128.08891541 | 124.36222587 | 81.566462778 | 71.618678204 | 100 | 89.219808104 | 87.590800296 | 96.500082414 | 127.70450815 | 175.57765123 | 187.25023389 | 216.1345365 | 296.08151307 | 217.72547144 | 314.15451546 | 409.41096173 | |||||||||||||||||||||
Computer, communications and other services (% of commercial service imports) | TM.VAL.OTHR.ZS.WT | 42.4979389942 | 37.8989642782 | 32.5449385052 | 38.4840360712 | 53.9520958084 | 48.1965625756 | 50.8116883117 | 46.1176997091 | 43.6779436779 | 34.4693116311 | 30.5520702635 | 36.1491628615 | 42.5013027619 | 44.6120689655 | 43.4315948602 | 44.9888339988 | 48.6863204638 | 48.0659979193 | 51.4074456914 | 51.0066159416 | 51.4671963278 | 47.8091094398 | 52.2118464284 | 51.8590529718 | 45.4472598754 | 38.8880060385 | 35.8588132671 | 26.8657118724 | 40.0867402097 | 34.8794012996 | 32.9259251116 | ||||||||||||||||||||||
Commercial service imports (current US$) | TM.VAL.SERV.CD.WT | 4852000000 | 4731000000 | 4228000000 | 4103000000 | 5010000000 | 4131000000 | 4312000000 | 4469000000 | 5291000000 | 5898000000 | 6376000000 | 7884000000 | 9595000000 | 11136000000 | 13230000000 | 14777000000 | 16214000000 | 11871111673.1649 | 12139043498.0652 | 15381083130.4348 | 15595642608.6957 | 16769971851.4911 | 17170679822.0352 | 20620199149.8136 | 21836469409.1778 | 21175099001.9701 | 24074500000 | 27994103972.1282 | 22635618279.8713 | 25599484282.8095 | 31819643262.9525 | ||||||||||||||||||||||
Transport services (% of commercial service imports) | TM.VAL.TRAN.ZS.WT | 41.2963726298 | 45.8845909956 | 50.2696310312 | 44.971971728 | 31.4730538922 | 34.8825950133 | 34.1975881262 | 37.2745580667 | 39.3271593272 | 47.3838589352 | 49.9827478043 | 45.3373921867 | 38.2167795727 | 35.1364942529 | 36.7422524565 | 35.4875820532 | 33.3045516221 | 31.4211676206 | 26.9703636406 | 26.1109818036 | 24.8593305521 | 30.7091640911 | 28.0919342397 | 26.5444679218 | 34.1206665026 | 38.6342302327 | 39.464371015 | 49.6341113579 | 28.8142459712 | 33.8785849315 | 38.149899923 | ||||||||||||||||||||||
Travel services (% of commercial service imports) | TM.VAL.TRVL.ZS.WT | 12.2835943941 | 11.8790953287 | 12.3462630085 | 12.5274189617 | 11.7964071856 | 13.7981118373 | 11.8506493506 | 13.2468113672 | 13.6458136458 | 14.1742963717 | 15.1976160602 | 14.7894469812 | 16.0396039604 | 17.0617816092 | 16.4172335601 | 16.2346890438 | 14.8698655483 | 17.7023830114 | 19.3820872326 | 20.7826716291 | 21.8375099087 | 19.613804431 | 17.9514427528 | 17.0075321562 | 16.4141163984 | 19.03393857 | 20.3696857671 | 19.8408464739 | 23.4857320908 | 24.9791509094 | 22.8749153687 | ||||||||||||||||||||||
Net barter terms of trade index (2000 = 100) | TT.PRI.MRCH.XD.WD | 182.55813953 | 182.14285714 | 172.15189873 | 173.07692308 | 156.75675676 | 108.45070423 | 96.202531646 | 81.818181818 | 81.720430107 | 94.897959184 | 91.262135922 | 88.571428571 | 88.349514563 | 84.905660377 | 90.350877193 | 97.321428571 | 99.047619048 | 81.818181818 | 66.326530612 | 100 | 100.8419693 | 100.59136645 | 102.84417692 | 104.85491794 | 106.85401025 | 113.02530568 | 116.38665333 | 123.70053624 | 119.79848963 | 127.06696959 | 134.10054736 | ||||||||||||||||||||||
Export volume index (2000 = 100) | TX.QTY.MRCH.XD.WD | 24.555368408 | 25.801079165 | 23.490863519 | 25.028216811 | 26.098340952 | 25.792408509 | 30.949830544 | 36.29413499 | 42.967380651 | 46.934992494 | 44.439390383 | 49.90362446 | 58.791539363 | 65.135591985 | 71.636297298 | 70.979244142 | 73.564029089 | 82.719177031 | 97.071885699 | 120.51826867 | 100 | 91.218670477 | 94.897376301 | 93.549496046 | 91.722598482 | 94.78319377 | 98.835026018 | 101.71613704 | 95.477441611 | 94.652548748 | 109.06222942 | 113.62240718 | |||||||||||||||||||||
Agricultural raw materials exports (% of merchandise exports) | TX.VAL.AGRI.ZS.UN | 45.5693749704 | 28.5154957653 | 27.7727548809 | 28.8772337775 | 34.7826902094 | 31.3607910168 | 24.5824772236 | 30.8228299375 | 16.5069145565 | 12.3133394891 | 15.7362576697 | 14.560975153 | 15.1766028748 | 18.3263188267 | 14.1400452262 | 8.2171883728 | 5.7633012855 | 6.325035346 | 6.6960679903 | 5.9769515694 | 7.7234643703 | 9.3730428719 | 10.506323697 | 9.2745181741 | 5.0168884882 | 5.1967536731 | 4.6496423996 | 4.1751984568 | 4.8774926851 | 6.6373492356 | 5.83042185 | 4.6339118847 | 4.5226809986 | 3.7654376221 | 3.6137568908 | 3.6034027539 | 4.3346744168 | 4.9566323923 | 4.984031583 | 5.05220915 | 6.4141816199 | 6.2549941609 | 6.433799857 | 4.5264827883 | 6.5392722065 | 7.5204744261 | |||||||
Food exports (% of merchandise exports) | TX.VAL.FOOD.ZS.UN | 16.8253820057 | 23.5191711992 | 23.9236428538 | 16.268878309 | 19.5607290604 | 22.1276840776 | 16.9975147705 | 12.5842487198 | 8.0564015772 | 8.0580749715 | 9.1199838707 | 12.2335998098 | 10.8467900518 | 9.6033539845 | 7.6483092416 | 5.07642747 | 4.8624147786 | 6.1649268689 | 7.27386056 | 9.9639243922 | 13.5894862227 | 12.1837819993 | 13.8219286316 | 12.0325400677 | 11.1576911838 | 11.2602012395 | 10.2326488614 | 10.8328388546 | 12.7441428351 | 11.3926374257 | 11.1957232469 | 11.4172301879 | 11.4029818768 | 11.8287584024 | 8.9459332846 | 8.9462294798 | 11.5088615514 | 11.3788151724 | 12.2916857255 | 11.6842591576 | 11.6821057626 | 14.7066229664 | 17.6860597394 | 17.2996368972 | 16.3640152797 | 16.3271642181 | |||||||
Fuel exports (% of merchandise exports) | TX.VAL.FUEL.ZS.UN | 31.7117654113 | 36.0096995004 | 40.7080930817 | 47.3464153511 | 32.8264822248 | 39.8455332123 | 51.3646813111 | 50.1018984258 | 70.1740748396 | 74.871904829 | 70.2883773555 | 67.9887775981 | 68.5914524409 | 65.2046434663 | 71.8573478411 | 79.8030840602 | 82.4143103724 | 76.3563450974 | 71.6522724364 | 66.5968159257 | 54.7587810373 | 48.9829556007 | 39.503936769 | 40.2301371414 | 43.9838722617 | 38.5193004447 | 33.3384762266 | 28.3574552978 | 26.369909201 | 25.3643605238 | 25.8324536198 | 24.6413082931 | 19.0645877753 | 22.971273319 | 25.3711968097 | 25.5202734514 | 24.4193846194 | 25.7714000733 | 25.7994775222 | 27.6144743605 | 27.2436444078 | 25.386733245 | 29.1000092317 | 28.4204837869 | 29.7269104873 | 34.1410761973 | |||||||
ICT goods exports (% of total goods exports) | TX.VAL.ICTG.ZS.UN | 12.1903743102 | 10.823090948 | 11.0242727557 | 9.3145749399 | 9.1177931933 | 8.1062710209 | 6.0893134299 | 5.2808182076 | 4.7562764182 | 5.9401687703 | 5.0713129356 | ||||||||||||||||||||||||||||||||||||||||||
Insurance and financial services (% of commercial service exports) | TX.VAL.INSF.ZS.WT | 0.0378891948 | 0.0528849976 | 2.5907042608 | 3.0382535814 | 1.9366078947 | 2.5529447817 | 2.2027990125 | 1.5751713713 | 2.1859938876 | 2.157272963 | |||||||||||||||||||||||||||||||||||||||||||
Manufactures exports (% of merchandise exports) | TX.VAL.MANF.ZS.UN | 0.2705810721 | 2.0820751988 | 1.4451530259 | 1.3853007383 | 1.1520004557 | 1.4062746277 | 1.7267766225 | 1.8870772106 | 0.8247257089 | 1.1970105554 | 1.3912202459 | 1.6396637781 | 1.7733163911 | 2.8751300458 | 2.2850789207 | 3.0203440195 | 3.6261536515 | 6.5260379641 | 10.0573273072 | 13.0397173029 | 19.2907156627 | 25.0229032367 | 29.7494048407 | 31.9425037655 | 35.4530793189 | 40.794093638 | 47.5235543866 | 53.0857642237 | 51.8352050389 | 50.6138696804 | 51.4326955058 | 42.3406594119 | 44.987783819 | 54.4418508422 | 57.1215032173 | 56.4286041831 | 54.4284811559 | 52.1126561819 | 50.4801272225 | 47.1762001035 | 44.687299935 | 42.9298677601 | 38.8124438692 | 40.5809686213 | 37.4977899858 | 34.1607950234 | |||||||
Ores and metals exports (% of merchandise exports) | TX.VAL.MMTL.ZS.UN | 5.6202599101 | 8.1996793934 | 5.9615620311 | 5.5450598525 | 11.4199468936 | 4.8661716376 | 4.9533858505 | 4.3432700327 | 4.3228734942 | 3.5237333717 | 3.410890587 | 3.4550364569 | 3.4486851512 | 3.7326579194 | 3.9208664916 | 3.612627208 | 3.0680727694 | 3.5031779214 | 3.5710165689 | 4.2522939419 | 4.5575705651 | 4.436859613 | 6.4155461742 | 6.5117473833 | 4.3804811534 | 4.2168717026 | 4.2465761693 | 3.5428082636 | 4.1624644807 | 5.9817624822 | 5.7005391041 | 4.7565540943 | 4.412370896 | 4.7011518875 | 4.9298745464 | 5.4878742111 | 5.2641104704 | 5.7274911164 | 6.4345005424 | 8.4673303062 | 9.9683062866 | 10.7186528633 | 7.9633887428 | 9.1697031321 | 9.8664120668 | 7.8470105783 | |||||||
Merchandise exports to economies in the Arab World (% of total merchandise exports) | TX.VAL.MRCH.AL.ZS | 0.3949175824 | 0 | 0 | 0 | 0.0845785171 | 0 | 0.1359311282 | 0.1223054579 | 0 | 0.0117924528 | 0 | 0 | 0.321652277 | 0 | 0.0511791405 | 0.1985328283 | 0.1837030797 | 0.635239667 | 0.6450338407 | 0.4814327438 | 0.3530635332 | 0.6102401062 | 0.6229081858 | 0.9795476476 | 1.1916008343 | 1.7933243407 | 2.299013551 | 1.7706581635 | 2.8274823024 | 2.9882180289 | 2.9784773461 | 3.7014945496 | 4.0222492985 | 4.1465497787 | 3.7895881842 | 3.4467950811 | 3.3378427569 | 3.7300698611 | 4.0388630818 | 3.8628155993 | 3.3000821023 | 3.7399353986 | 3.597512422 | 3.1138808078 | 3.0955520388 | 3.08447277 | 3.2123493834 | 3.5629470747 | 4.1238919467 | 3.5402839452 | 3.027022292 | ||
Merchandise exports (current US$) | TX.VAL.MRCH.CD.WT | 841000000 | 784000000 | 682000000 | 696000000 | 724000000 | 708000000 | 679000000 | 665000000 | 731000000 | 854000000 | 1108000000 | 1234000000 | 1777000000 | 3211000000 | 7426000000 | 7102000000 | 8547000000 | 10853000000 | 11643000000 | 15591000000 | 21909000000 | 22260000000 | 22293000000 | 21152000000 | 21902000000 | 18590000000 | 16075000000 | 17135000000 | 19465000000 | 22160000000 | 25675000000 | 29142000000 | 33967000000 | 36823000000 | 40055000000 | 45417000000 | 49814000000 | 56298000000 | 50370000000 | 51243000000 | 65403000000 | 57361000000 | 59166000000 | 64108000000 | 70766610000 | 86996064000 | 103527000000 | 118013000000 | 139606000000 | 119646000000 | 158074492000 | 201472259000 | |
Merchandise exports to high-income economies (% of total merchandise exports) | TX.VAL.MRCH.HI.ZS | 87.6201923077 | 77.5064935065 | 72.6033553026 | 74.5812518366 | 76.5858471948 | 75.2342511172 | 86.905301314 | 90.7812261122 | 80.6024096386 | 87.5825471698 | 88.9592187359 | 90.562819784 | 89.8651317646 | 90.7796101949 | 96.0821021159 | 95.481618113 | 96.3891229056 | 96.3867862773 | 94.4411997114 | 96.8071380428 | 96.6094040798 | 95.4742275402 | 96.9265692237 | 96.0973428417 | 95.8236923653 | 94.779636606 | 93.8011032564 | 93.3770518512 | 91.8039130704 | 90.7596012995 | 90.9135378093 | 88.8890016656 | 88.1682705899 | 87.3970553447 | 86.9125426819 | 80.1514065872 | 83.6156101086 | 80.8803553197 | 79.1570371914 | 80.7686845644 | 80.837556544 | 80.3952034788 | 77.8407220533 | 75.7324877518 | 73.9724715236 | 72.3339454901 | 71.4682727948 | 68.5639985591 | 67.4209633291 | 63.4597654258 | 63.0994374132 | ||
Merchandise exports to developing economies outside region (% of total merchandise exports) | TX.VAL.MRCH.OR.ZS | 3.073489011 | 4.8831168831 | 6.1414020371 | 5.406993829 | 4.8914575698 | 4.9012541444 | 5.4976589639 | 2.7060082556 | 2.2489959839 | 1.8985849057 | 2.1701781355 | 0.8527572484 | 0.7392359348 | 0.3467016492 | 1.3010276233 | 1.3291843258 | 1.2906018909 | 1.8891234799 | 1.9771876181 | 1.4051417017 | 1.9920264205 | 1.8475197709 | 0.8146066161 | 1.2214926216 | 1.7940187206 | 2.4704560966 | 3.0538732133 | 2.7080654265 | 2.9580211752 | 3.2914631528 | 2.9667885893 | 3.4451198222 | 3.4536694037 | 4.061733833 | 4.8991591358 | 5.6828207616 | 5.2953374676 | 6.4376988773 | 7.7478180308 | 8.1130125852 | 7.5805416622 | 8.0972177983 | 8.8757702904 | 9.1087718584 | 9.6895892693 | 10.4477405625 | 10.5932573778 | 12.4905197362 | 13.4677194748 | 14.0740585859 | 14.252951364 | ||
Merchandise exports to developing economies in East Asia & Pacific (% of total merchandise exports) | TX.VAL.MRCH.R1.ZS | 9.3063186813 | 14.9480519481 | 17.1060515279 | 13.7672641787 | 12.1652100367 | 9.2114747009 | 5.3919347531 | 4.7240483107 | 7.6974564926 | 7.5943396226 | 5.6153359255 | 4.718590108 | 2.2064217595 | 1.1556721639 | 1.4101200016 | 1.4826600583 | 1.3420855565 | 1.4004775822 | 2.0467585117 | 1.7248130436 | 1.2703901033 | 2.2427268871 | 1.7739924661 | 1.7910518016 | 1.7844347997 | 2.4914149367 | 3.0525228382 | 3.667002217 | 4.9166202299 | 5.5004399528 | 5.917134938 | 7.3517111586 | 7.8469072461 | 7.7908519962 | 7.9390602769 | 9.8499573311 | 10.393858627 | 10.9999241692 | 11.1936464628 | 11.0707232672 | 11.479731834 | 11.3296265451 | 13.1479359268 | 15.0730352022 | 16.3018019122 | 17.2083675911 | 17.8298355862 | 18.8842041246 | 19.0642354443 | 22.4118108761 | 22.5932794681 | ||
Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports) | TX.VAL.MRCH.R2.ZS | 0.4907271979 | 0.6713653209 | 0.3597448422 | 0.575936985 | 0.6864264532 | 0.4958191127 | 0.5775817807 | 0.6509615196 | 0.8115176126 | 0.9822586974 | 0.9584423708 | 1.2853468378 | 1.3058859769 | 1.6687955399 | 1.4318253164 | 1.3074172501 | 1.5310578856 | ||||||||||||||||||||||||||||||||||||
Merchandise exports to developing economies in Latin America & the Caribbean (% of total merchandise exports) | TX.VAL.MRCH.R3.ZS | 0.5151098901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096971003 | 0.0098562397 | 0.0128709164 | 0.0184394678 | 0.0687119937 | 0.0661167635 | 0.7011093676 | 0.7269962999 | 0.0737301655 | 0.1299159783 | 0.0862552883 | 0.0752368618 | 0.2673742632 | 0.1803825273 | 0.1620126721 | 0.1880358387 | 0.340596195 | 0.5470832084 | 0.7871612014 | 1.1522475602 | 1.3134198469 | 1.582173836 | 1.4589215886 | 1.6679319382 | 1.7930266232 | 1.6208141328 | 1.651429049 | 1.6427834725 | 1.6393058828 | 1.3514208137 | 1.5104250669 | 1.4863012046 | 1.6419160932 | 1.6707907325 | 1.6809792515 | 1.7335375599 | 2.1527335025 | ||
Merchandise exports to developing economies in Middle East & North Africa (% of total merchandise exports) | TX.VAL.MRCH.R4.ZS | 0.4292582418 | 0 | 0 | 0 | 0.0845785171 | 0 | 0.1359311282 | 0.1223054579 | 0 | 0.0117924528 | 0 | 0 | 0.321652277 | 0 | 0.0646473353 | 0.1957167598 | 0.1684919966 | 0.6306298 | 0.5883464459 | 0.2747376192 | 0.2700434259 | 0.2041133459 | 0.3056450496 | 0.441526042 | 0.6580959031 | 0.8109458886 | 1.205209747 | 1.0008320871 | 1.1975522671 | 1.4968327798 | 1.1870358262 | 1.3963858721 | 1.1074913812 | 1.1014595813 | 1.258515959 | 1.3513279668 | 1.0096408066 | 1.146841334 | 1.4403021942 | 1.4430212458 | 1.2414801707 | 1.3518593401 | 1.3034807129 | 1.1478745317 | 1.4404509195 | 1.4091084724 | 1.4336236704 | 1.6507950808 | 2.1516085651 | 1.7303578756 | 1.4768510872 | ||
Merchandise exports to developing economies in South Asia (% of total merchandise exports) | TX.VAL.MRCH.R5.ZS | 1.6998626374 | 0.5584415584 | 0.2246854404 | 0.9991184249 | 0.8175923315 | 0.3315554274 | 0.8760006041 | 0.259899098 | 0.0133868809 | 0.0117924528 | 0.0090424089 | 0 | 0.028215112 | 0.1686656672 | 0.4983232097 | 0.6927528477 | 0.4504820743 | 0.7781455427 | 0.5187755523 | 0.4082549668 | 0.3913805058 | 0.3107898683 | 0.1992948715 | 0.2212337311 | 0.4308200642 | 0.6765943497 | 0.8264295408 | 0.826268351 | 0.9091284337 | 0.8201171492 | 0.7830996756 | 0.770746465 | 0.8877065898 | 1.118905974 | 1.4679430573 | 1.5335230916 | 1.7850723076 | 2.1784847251 | 2.6159294959 | 3.0299186576 | 2.8149764561 | 2.8998750834 | 3.484312956 | 4.0786046531 | 4.387751975 | 4.9532255302 | 4.9713386626 | 6.1084283006 | 6.8145077547 | 7.8812890637 | 7.6156491248 | ||
Merchandise exports to developing economies in Sub-Saharan Africa (% of total merchandise exports) | TX.VAL.MRCH.R6.ZS | 0.3262362637 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2909130089 | 0.0323847876 | 0.1837030797 | 0.1078708868 | 0.2164427801 | 0.1097666656 | 0.1706017589 | 0.0264591374 | 0.0638994767 | 0.0169455624 | 0.0424430784 | 0.2052891514 | 0.1937788221 | 0.1297590439 | 0.4029678245 | 0.2666922161 | 0.2141672263 | 0.4262431936 | 0.466072171 | 0.415980879 | 0.3685530747 | 0.5444305463 | 0.6819579227 | 0.8685038949 | 1.2121332643 | 1.5234394362 | 1.2950742057 | 1.5517383827 | 1.637153126 | 1.5486131626 | 1.392518937 | 1.3137585176 | 1.2404929707 | 1.3917100824 | 1.3887985901 | 1.4214568341 | 1.4766597633 | ||
Merchandise exports by the reporting economy, residual (% of total merchandise exports) | TX.VAL.MRCH.RS.ZS | 0 | 2.6623376623 | 4.1491911324 | 6.2444901557 | 6.3574851988 | 10.6530200375 | 2.205104969 | 1.7887173215 | 9.4511378849 | 2.9245283019 | 3.2552672032 | 3.8658328596 | 7.1892105412 | 7.718015992 | 1.2067502593 | 1.706537503 | 0.9781896471 | 0.3236126605 | 1.5348541588 | 0.0629072119 | 0.1281793964 | 0.4355258019 | 0.4848316941 | 0.8901127351 | 0.5978541145 | 0.2584923608 | 0.0925006921 | 0.2478805053 | 0.3214455245 | 0.4484955948 | 0.2025386634 | 0.3141673536 | 0.5311527602 | 0.750358826 | 0.2492379054 | 4.3158153201 | 0.6951937968 | 1.6820216339 | 1.901498315 | 0.0475795833 | 0.1021699598 | 0.1779521778 | 0.1355717296 | 0.0857051876 | 0.036137295 | 0.0099463563 | 0.1086342413 | 0.0612775801 | 0.0470817518 | 0.0543651122 | 0.0543317548 | ||
Merchandise exports by the reporting economy (current US$) | TX.VAL.MRCH.WL.CD | 582400000 | 770000000 | 667600000 | 680600000 | 709400000 | 693700000 | 662100000 | 654100000 | 747000000 | 848000000 | 1105900000 | 1231300000 | 1772100000 | 3201600000 | 7424900000 | 7102100000 | 8546400000 | 10846300000 | 11642800000 | 15578500000 | 21922400000 | 23810300000 | 22378900000 | 21244500000 | 21911700000 | 18607900000 | 14810700000 | 17185700000 | 19381200000 | 21943887550 | 25690336910 | 29200273660 | 33997603990 | 36856518830 | 40084593000 | 45479263000 | 49909630900 | 53453716640 | 48863206750 | 48671016870 | 62138751080 | 56336371500 | 57168555900 | 61075382340 | 71587618920 | 85660243030 | 100842265500 | 114111539400 | 137022025700 | 116509775200 | 157791112000 | ||
Merchandise exports to developing economies within region (% of total merchandise exports) | TX.VAL.MRCH.WR.ZS | 9.3063186813 | 14.9480519481 | 17.1060515279 | 13.7672641787 | 12.1652100367 | 9.2114747009 | 5.3919347531 | 4.7240483107 | 7.6974564926 | 7.5943396226 | 5.6153359255 | 4.718590108 | 2.2064217595 | 1.1556721639 | 1.4101200016 | 1.4826600583 | 1.3420855565 | 1.4004775822 | 2.0467585117 | 1.7248130436 | 1.2703901033 | 2.2427268871 | 1.7739924661 | 1.7910518016 | 1.7844347997 | 2.4914149367 | 3.0525228382 | 3.667002217 | 4.9166202299 | 5.5004399528 | 5.917134938 | 7.3517111586 | 7.8469072461 | 7.7908519962 | 7.9390602769 | 9.8499573311 | 10.393858627 | 10.9999241692 | 11.1936464628 | 11.0707232672 | 11.479731834 | 11.3296265451 | 13.1479359268 | 15.0730352022 | 16.3018019122 | 17.2083675911 | 17.8298355862 | 18.8842041246 | 19.0642354443 | 22.4118108761 | 22.5932794681 | ||
Export value index (2000 = 100) | TX.VAL.MRCH.XD.WD | 38.551928401 | 40.507694289 | 35.941021183 | 34.038374863 | 35.232760286 | 29.91919387 | 23.831369519 | 27.583542592 | 30.936514069 | 35.670594295 | 41.328633057 | 46.909406993 | 54.676131608 | 59.273388707 | 64.472667568 | 73.108621467 | 80.184791707 | 86.027944112 | 78.628227416 | 78.336874638 | 100 | 87.704679927 | 90.456678949 | 98.015502928 | 109.75124987 | 131.75806871 | 158.2185393 | 181.52185546 | 213.44198633 | 182.92537496 | 241.67749629 | 308.0281927 | |||||||||||||||||||||
Computer, communications and other services (% of commercial service exports) | TX.VAL.OTHR.ZS.WT | 34.0757238307 | 30.753968254 | 18.315018315 | 10.701754386 | 30.0947867299 | 18.7203791469 | 9.3896713615 | 3.0679327977 | 10.2933333333 | 10.6511254019 | 8.0085046067 | 7.4019463285 | 4.7189272821 | 2.2435897436 | 2.115312617 | 4.3020736614 | 2.1201413428 | 1.9585253456 | 2.2459837319 | 1.6993667444 | 1.5853909174 | 2.6625212717 | 4.8158400909 | 37.2063133618 | 38.3853251795 | 39.0159568836 | 34.8942760831 | 28.7088697319 | 34.7330320288 | 38.4498321154 | 40.7815348646 | ||||||||||||||||||||||
Commercial service exports (current US$) | TX.VAL.SERV.CD.WT | 449000000 | 504000000 | 546000000 | 570000000 | 844000000 | 844000000 | 1065000000 | 1369000000 | 1875000000 | 2488000000 | 2822000000 | 3391000000 | 3878000000 | 4680000000 | 5342000000 | 6462000000 | 6792000000 | 4340000000 | 4452392000 | 5060708660 | 5361453700 | 6519008950 | 5143235558.54 | 11754718769.0249 | 12571366733.0715 | 11092836674.7114 | 12073900000 | 14731317774.4984 | 12618385960.2142 | 16210683055.5829 | 19940608534.9568 | ||||||||||||||||||||||
High-technology exports (current US$) | TX.VAL.TECH.CD | 101180000 | 144306712 | 224574514 | 493821102 | 882872278 | 1375925745 | 1685982037 | 2291795910 | 2611199836 | 2256518817 | 2728364531 | 5774419213 | 4471258542 | 5158848176 | 4680910343 | 5902813446 | 6671058414 | 6034485448 | 5356419372 | 5762686044 | 6038545109 | 6673355345 | |||||||||||||||||||||||||||||||
High-technology exports (% of manufactured exports) | TX.VAL.TECH.MF.ZS | 1.45487217 | 1.5928969224 | 1.898487722 | 3.0728782454 | 4.5387316754 | 6.6515058469 | 7.3415905956 | 8.9607985787 | 11.5880768805 | 10.3691016886 | 10.3725383181 | 16.3736278945 | 14.1783336066 | 16.6700261646 | 14.7789429197 | 16.3909442411 | 16.5489201578 | 13.469933495 | 11.002179239 | 10.9027720271 | 12.8744760763 | 11.3642254212 | |||||||||||||||||||||||||||||||
Transport services (% of commercial service exports) | TX.VAL.TRAN.ZS.WT | 15.144766147 | 13.6904761905 | 9.1575091575 | 8.5964912281 | 4.9763033175 | 4.6208530806 | 3.8497652582 | 3.2140248356 | 2.88 | 2.8135048232 | 2.8703047484 | 2.6245945149 | 1.1346054667 | 16.2279267925 | 16.6393312198 | 19.3867953034 | 22.6065907504 | 18.9496494612 | 18.2745426084 | 19.00867303 | 19.3286259049 | 16.4424456223 | 17.1779938275 | ||||||||||||||||||||||||||||||
Travel services (% of commercial service exports) | TX.VAL.TRVL.ZS.WT | 50.7795100223 | 55.5555555556 | 72.5274725275 | 80.701754386 | 64.9289099526 | 76.6587677725 | 86.7605633803 | 93.7180423667 | 86.8266666667 | 86.5353697749 | 89.1211906449 | 89.9734591566 | 94.1464672512 | 97.7564102564 | 97.884687383 | 95.6979263386 | 97.8798586572 | 98.0414746544 | 97.7540162681 | 98.3006332556 | 98.4146090826 | 81.071662741 | 78.4919436917 | 40.816187074 | 35.9698304887 | 40.0977857605 | 44.2782365267 | 50.0796582256 | 44.3631706951 | 42.9217283747 | 39.8831983449 | ||||||||||||||||||||||
Battle-related deaths (number of people) | VC.BTL.DETH | 84 | 73 | 34 | 39 | 45 | 38 | 112 | 282 | 213 | 112 | 478 | 738 | 213 | ||||||||||||||||||||||||||||||||||||||||
Internally displaced persons (number, high estimate) | VC.IDP.TOTL.HE | 1259841 | 1100000 | 600000 | 500000 | 600000 | 250000 | 200000 | 120000 | 120000 | 200000 | |||||||||||||||||||||||||||||||||||||||||||
Internally displaced persons (number, low estimate) | VC.IDP.TOTL.LE | 580000 | 342000 | 150000 | 100000 | 70000 | 70000 | |||||||||||||||||||||||||||||||||||||||||||||||
Intentional homicides (per 100,000 people) | VC.IHR.PSRC.P5 | 8.1 | ||||||||||||||||||||||||||||||||||||||||||||||||||||
Presence of peace keepers (number of troops, police, and military observers in mandate) | VC.PKP.TOTL.UN |