| country | iso2c | iso3c | year | PDB | import | LPDB | Limport |
|---|---|---|---|---|---|---|---|
| Afghanistan | AF | AFG | 2019 | 1.890450e+10 | NA | 23.66267 | NA |
| Africa Eastern and Southern | ZH | AFE | 2019 | 1.000834e+12 | 2.702334e+11 | 27.63185 | 26.32255 |
| Africa Western and Central | ZI | AFW | 2019 | 8.225384e+11 | 2.119928e+11 | 27.43566 | 26.07982 |
| Albania | AL | ALB | 2019 | 1.540183e+10 | 6.926960e+09 | 23.45775 | 22.65869 |
| Algeria | DZ | DZA | 2019 | 1.717603e+11 | 4.997396e+10 | 25.86937 | 24.63477 |
| American Samoa | AS | ASM | 2019 | 6.470000e+08 | 6.140000e+08 | 20.28786 | 20.23551 |
| Andorra | AD | AND | 2019 | 3.155149e+09 | NA | 21.87230 | NA |
| Angola | AO | AGO | 2019 | 6.930911e+10 | 1.180943e+10 | 24.96184 | 23.19216 |
| Antigua and Barbuda | AG | ATG | 2019 | 1.675404e+09 | 1.156390e+09 | 21.23932 | 20.86857 |
| Arab World | 1A | ARB | 2019 | 2.868891e+12 | 1.093191e+12 | 28.68495 | 27.72012 |
| Argentina | AR | ARG | 2019 | 4.477547e+11 | 6.584563e+10 | 26.82751 | 24.91058 |
| Armenia | AM | ARM | 2019 | 1.361929e+10 | 7.458380e+09 | 23.33475 | 22.73260 |
| Aruba | AW | ABW | 2019 | 3.395794e+09 | 2.448678e+09 | 21.94580 | 21.61881 |
| Australia | AU | AUS | 2019 | 1.392219e+12 | 3.017660e+11 | 27.96192 | 26.43292 |
| Austria | AT | AUT | 2019 | 4.446212e+11 | 2.317756e+11 | 26.82049 | 26.16904 |
| Azerbaijan | AZ | AZE | 2019 | 4.817424e+10 | 1.771247e+10 | 24.59809 | 23.59753 |
| Bahamas, The | BS | BHS | 2019 | 1.305870e+10 | 4.813800e+09 | 23.29272 | 22.29475 |
| Bahrain | BH | BHR | 2019 | 3.865332e+10 | 2.520771e+10 | 24.37790 | 23.95042 |
| Bangladesh | BD | BGD | 2019 | 3.512384e+11 | 6.492043e+10 | 26.58473 | 24.89643 |
| Barbados | BB | BRB | 2019 | 5.324250e+09 | 2.021650e+09 | 22.39554 | 21.42718 |
| Belarus | BY | BLR | 2019 | 6.441011e+10 | 4.235333e+10 | 24.88854 | 24.46931 |
| Belgium | BE | BEL | 2019 | 5.358657e+11 | 4.381723e+11 | 27.00715 | 26.80588 |
| Belize | BZ | BLZ | 2019 | 2.416500e+09 | 1.200500e+09 | 21.60559 | 20.90600 |
| Benin | BJ | BEN | 2019 | 1.439169e+10 | 4.900485e+09 | 23.38992 | 22.31260 |
| Bermuda | BM | BMU | 2019 | 7.423465e+09 | 1.916492e+09 | 22.72791 | 21.37376 |
| Bhutan | BT | BTN | 2019 | 2.535656e+09 | 1.221921e+09 | 21.65372 | 20.92369 |
| Bolivia | BO | BOL | 2019 | 4.089532e+10 | 1.285342e+10 | 24.43428 | 23.27688 |
| Bosnia and Herzegovina | BA | BIH | 2019 | 2.048260e+10 | 1.115811e+10 | 23.74284 | 23.13543 |
| Botswana | BW | BWA | 2019 | 1.672591e+10 | 7.694782e+09 | 23.54022 | 22.76381 |
| Brazil | BR | BRA | 2019 | 1.873288e+12 | 2.766348e+11 | 28.25872 | 26.34596 |
| British Virgin Islands | VG | VGB | 2019 | NA | NA | NA | NA |
| Brunei Darussalam | BN | BRN | 2019 | 1.346924e+10 | 6.810535e+09 | 23.32367 | 22.64174 |
| Bulgaria | BG | BGR | 2019 | 6.891193e+10 | 4.183346e+10 | 24.95610 | 24.45696 |
| Burkina Faso | BF | BFA | 2019 | 1.617816e+10 | 5.023005e+09 | 23.50693 | 22.33729 |
| Burundi | BI | BDI | 2019 | 2.576519e+09 | 6.146072e+08 | 21.66971 | 20.23649 |
| Cabo Verde | CV | CPV | 2019 | 2.266752e+09 | 1.280717e+09 | 21.54161 | 20.97069 |
| Cambodia | KH | KHM | 2019 | 2.708939e+10 | 1.692145e+10 | 24.02241 | 23.55185 |
| Cameroon | CM | CMR | 2019 | 3.967098e+10 | 9.333955e+09 | 24.40389 | 22.95692 |
| Canada | CA | CAN | 2019 | 1.743725e+12 | 5.897067e+11 | 28.18704 | 27.10289 |
| Caribbean small states | S3 | CSS | 2019 | 7.728280e+10 | NA | 25.07074 | NA |
| Cayman Islands | KY | CYM | 2019 | 5.941897e+09 | 2.695691e+09 | 22.50529 | 21.71492 |
| Central African Republic | CF | CAF | 2019 | 2.221301e+09 | 7.621378e+08 | 21.52136 | 20.45164 |
| Central Europe and the Baltics | B8 | CEB | 2019 | 1.674114e+12 | 1.000260e+12 | 28.14631 | 27.63128 |
| Chad | TD | TCD | 2019 | 1.131495e+10 | 4.280250e+09 | 23.14939 | 22.17728 |
| Channel Islands | JG | CHI | 2019 | 1.038167e+10 | NA | 23.06331 | NA |
| Chile | CL | CHL | 2019 | 2.784933e+11 | 8.272251e+10 | 26.35266 | 25.13876 |
| China | CN | CHN | 2019 | 1.427997e+13 | 2.496153e+12 | 30.28988 | 28.54577 |
| Colombia | CO | COL | 2019 | 3.230317e+11 | 7.006718e+10 | 26.50102 | 24.97272 |
| Comoros | KM | COM | 2019 | 1.195020e+09 | 3.524664e+08 | 20.90143 | 19.68047 |
| Congo, Dem. Rep. | CD | COD | 2019 | 5.177583e+10 | 1.520526e+10 | 24.67019 | 23.44491 |
| Congo, Rep. | CG | COG | 2019 | 1.275034e+10 | 6.778504e+09 | 23.26882 | 22.63702 |
| Costa Rica | CR | CRI | 2019 | 6.441767e+10 | 2.024983e+10 | 24.88865 | 23.73141 |
| Cote d'Ivoire | CI | CIV | 2019 | 5.989848e+10 | 1.288059e+10 | 24.81592 | 23.27899 |
| Croatia | HR | HRV | 2019 | 6.132927e+10 | 3.128159e+10 | 24.83952 | 24.16630 |
| Cuba | CU | CUB | 2019 | 1.034280e+11 | 1.097100e+10 | 25.36214 | 23.11852 |
| Curacao | CW | CUW | 2019 | 2.995185e+09 | NA | 21.82027 | NA |
| Cyprus | CY | CYP | 2019 | 2.594519e+10 | 1.957878e+10 | 23.97925 | 23.69771 |
| Czechia | CZ | CZE | 2019 | 2.525482e+11 | 1.714581e+11 | 26.25487 | 25.86760 |
| Denmark | DK | DNK | 2019 | 3.464987e+11 | 1.787159e+11 | 26.57115 | 25.90906 |
| Djibouti | DJ | DJI | 2019 | 3.088854e+09 | 4.763669e+09 | 21.85107 | 22.28428 |
| Dominica | DM | DMA | 2019 | 6.115370e+08 | NA | 20.23149 | NA |
| Dominican Republic | DO | DOM | 2019 | 8.894137e+10 | 2.485188e+10 | 25.21124 | 23.93620 |
| Early-demographic dividend | V2 | EAR | 2019 | 1.169625e+13 | 3.082020e+12 | 30.09029 | 28.75661 |
| East Asia & Pacific (excluding high income) | 4E | EAP | 2019 | 1.720713e+13 | 3.685108e+12 | 30.47635 | 28.93532 |
| East Asia & Pacific (IDA & IBRD countries) | T4 | TEA | 2019 | 1.718566e+13 | 3.678100e+12 | 30.47510 | 28.93342 |
| East Asia & Pacific | Z4 | EAS | 2019 | 2.702400e+13 | 7.105120e+12 | 30.92775 | 29.59184 |
| Ecuador | EC | ECU | 2019 | 1.081080e+11 | 2.489560e+10 | 25.40640 | 23.93796 |
| Egypt, Arab Rep. | EG | EGY | 2019 | 3.186788e+11 | 7.801253e+10 | 26.48745 | 25.08014 |
| El Salvador | SV | SLV | 2019 | 2.688114e+10 | 1.238847e+10 | 24.01469 | 23.24003 |
| Equatorial Guinea | GQ | GNQ | 2019 | 1.136413e+10 | 4.971586e+09 | 23.15373 | 22.32700 |
| Eritrea | ER | ERI | 2019 | NA | NA | NA | NA |
| Estonia | EE | EST | 2019 | 3.108190e+10 | 2.171688e+10 | 24.15989 | 23.80136 |
| Eswatini | SZ | SWZ | 2019 | 4.466215e+09 | 1.931360e+09 | 22.21981 | 21.38149 |
| Ethiopia | ET | ETH | 2019 | 9.591261e+10 | 2.002207e+10 | 25.28670 | 23.72010 |
| Euro area | XC | EMU | 2019 | 1.341836e+13 | 6.005803e+12 | 30.22765 | 29.42375 |
| Europe & Central Asia (excluding high income) | 7E | ECA | 2019 | 3.248044e+12 | 9.476257e+11 | 28.80907 | 27.57723 |
| Europe & Central Asia (IDA & IBRD countries) | T7 | TEC | 2019 | 4.156450e+12 | 1.385125e+12 | 29.05568 | 27.95681 |
| Europe & Central Asia | Z7 | ECS | 2019 | 2.291027e+13 | 9.595156e+12 | 30.76261 | 29.89228 |
| European Union | EU | EUU | 2019 | 1.569262e+13 | 7.198152e+12 | 30.38421 | 29.60485 |
| Faroe Islands | FO | FRO | 2019 | 3.275684e+09 | 1.726425e+09 | 21.90979 | 21.26932 |
| Fiji | FJ | FJI | 2019 | 5.481693e+09 | 3.209508e+09 | 22.42468 | 21.88938 |
| Finland | FI | FIN | 2019 | 2.685149e+11 | 1.066669e+11 | 26.31617 | 25.39298 |
| Fragile and conflict affected situations | F1 | FCS | 2019 | 1.826389e+12 | 5.200077e+11 | 28.23336 | 26.97711 |
| France | FR | FRA | 2019 | 2.728870e+12 | 8.882314e+11 | 28.63491 | 27.51250 |
| French Polynesia | PF | PYF | 2019 | 6.022276e+09 | 2.116542e+09 | 22.51873 | 21.47305 |
| Gabon | GA | GAB | 2019 | 1.687441e+10 | 3.711866e+09 | 23.54906 | 22.03480 |
| Gambia, The | GM | GMB | 2019 | 1.813610e+09 | 6.243942e+08 | 21.31858 | 20.25229 |
| Georgia | GE | GEO | 2019 | 1.747044e+10 | 1.114280e+10 | 23.58378 | 23.13406 |
| Germany | DE | DEU | 2019 | 3.888226e+12 | 1.594826e+12 | 28.98897 | 28.09779 |
| Ghana | GH | GHA | 2019 | 6.833797e+10 | 2.690822e+10 | 24.94773 | 24.01570 |
| Gibraltar | GI | GIB | 2019 | NA | NA | NA | NA |
| Greece | GR | GRC | 2019 | 2.052570e+11 | 8.574467e+10 | 26.04753 | 25.17464 |
| Greenland | GL | GRL | 2019 | 2.997331e+09 | 1.533076e+09 | 21.82099 | 21.15054 |
| Grenada | GD | GRD | 2019 | 1.213485e+09 | NA | 20.91676 | NA |
| Guam | GU | GUM | 2019 | 6.366000e+09 | 3.552000e+09 | 22.57424 | 21.99078 |
| Guatemala | GT | GTM | 2019 | 7.717231e+10 | 2.153475e+10 | 25.06931 | 23.79293 |
| Guinea-Bissau | GW | GNB | 2019 | 1.439638e+09 | 5.050919e+08 | 21.08766 | 20.04025 |
| Guinea | GN | GIN | 2019 | 1.344286e+10 | 5.830608e+09 | 23.32171 | 22.48639 |
| Guyana | GY | GUY | 2019 | 5.173760e+09 | NA | 22.36687 | NA |
| Haiti | HT | HTI | 2019 | 1.501609e+10 | 5.107129e+09 | 23.43239 | 22.35390 |
| Heavily indebted poor countries (HIPC) | XE | HPC | 2019 | 7.991607e+11 | 2.578992e+11 | 27.40683 | 26.27583 |
| High income | XD | 2019 | 5.531547e+13 | 1.682581e+13 | 31.64407 | 30.45394 | |
| Honduras | HN | HND | 2019 | 2.508994e+10 | 1.457953e+10 | 23.94573 | 23.40288 |
| Hong Kong SAR, China | HK | HKG | 2019 | 3.630746e+11 | 6.393460e+11 | 26.61787 | 27.18371 |
| Hungary | HU | HUN | 2019 | 1.640205e+11 | 1.299396e+11 | 25.82326 | 25.59034 |
| IBRD only | XF | IBD | 2019 | 3.118189e+13 | 7.433660e+12 | 31.07086 | 29.63704 |
| Iceland | IS | ISL | 2019 | 2.466364e+10 | 9.662622e+09 | 23.92860 | 22.99153 |
| IDA & IBRD total | ZT | IBT | 2019 | 3.363943e+13 | 8.099957e+12 | 31.14672 | 29.72288 |
| IDA blend | XH | IDB | 2019 | 1.069700e+12 | 2.375095e+11 | 27.69840 | 26.19347 |
| IDA only | XI | IDX | 2019 | 1.387561e+12 | 4.287609e+11 | 27.95857 | 26.78417 |
| IDA total | XG | IDA | 2019 | 2.457261e+12 | 6.673419e+11 | 28.53007 | 27.22657 |
| India | IN | IND | 2019 | 2.835606e+12 | 6.023151e+11 | 28.67328 | 27.12405 |
| Indonesia | ID | IDN | 2019 | 1.119100e+12 | 2.130346e+11 | 27.74355 | 26.08472 |
| Iran, Islamic Rep. | IR | IRN | 2019 | 2.836495e+11 | 7.735255e+10 | 26.37101 | 25.07164 |
| Iraq | IQ | IRQ | 2019 | 2.336361e+11 | 7.228250e+10 | 26.17703 | 25.00385 |
| Ireland | IE | IRL | 2019 | 3.993217e+11 | 4.966358e+11 | 26.71303 | 26.93112 |
| Isle of Man | IM | IMN | 2019 | 7.314967e+09 | NA | 22.71319 | NA |
| Israel | IL | ISR | 2019 | 4.024705e+11 | 1.088600e+11 | 26.72089 | 25.41333 |
| Italy | IT | ITA | 2019 | 2.011302e+12 | 5.687271e+11 | 28.32980 | 27.06667 |
| Jamaica | JM | JAM | 2019 | 1.583077e+10 | 8.243797e+09 | 23.48522 | 22.83273 |
| Japan | JP | JPN | 2019 | 5.117994e+12 | 9.085919e+11 | 29.26378 | 27.53516 |
| Jordan | JO | JOR | 2019 | 4.450301e+10 | 2.187324e+10 | 24.51882 | 23.80853 |
| Kazakhstan | KZ | KAZ | 2019 | 1.816672e+11 | 5.162914e+10 | 25.92544 | 24.66735 |
| Kenya | KE | KEN | 2019 | 1.003784e+11 | 2.040841e+10 | 25.33221 | 23.73921 |
| Kiribati | KI | KIR | 2019 | 1.751817e+08 | 1.808175e+08 | 18.98133 | 19.01300 |
| Korea, Dem. People's Rep. | KP | PRK | 2019 | NA | NA | NA | NA |
| Korea, Rep. | KR | KOR | 2019 | 1.651423e+12 | 6.024602e+11 | 28.13266 | 27.12429 |
| Kosovo | XK | XKX | 2019 | 7.899741e+09 | 4.458677e+09 | 22.79010 | 22.21812 |
| Kuwait | KW | KWT | 2019 | 1.361918e+11 | 6.113581e+10 | 25.63733 | 24.83636 |
| Kyrgyz Republic | KG | KGZ | 2019 | 8.871020e+09 | 5.689777e+09 | 22.90606 | 22.46194 |
| Lao PDR | LA | LAO | 2019 | 1.874056e+10 | NA | 23.65396 | NA |
| Late-demographic dividend | V3 | LTE | 2019 | 2.304728e+13 | 5.997559e+12 | 30.76857 | 29.42237 |
| Latin America & Caribbean (excluding high income) | XJ | LAC | 2019 | 4.769077e+12 | 1.141874e+12 | 29.19317 | 27.76369 |
| Latin America & Caribbean | ZJ | LCN | 2019 | 5.622813e+12 | 1.397378e+12 | 29.35785 | 27.96562 |
| Latin America & the Caribbean (IDA & IBRD countries) | T2 | TLA | 2019 | 5.371332e+12 | 1.316431e+12 | 29.31210 | 27.90595 |
| Latvia | LV | LVA | 2019 | 3.434396e+10 | 2.076912e+10 | 24.25969 | 23.75673 |
| Least developed countries: UN classification | XL | LDC | 2019 | 1.142397e+12 | 3.270984e+11 | 27.76415 | 26.51353 |
| Lebanon | LB | LBN | 2019 | 5.160596e+10 | 2.182063e+10 | 24.66690 | 23.80612 |
| Lesotho | LS | LSO | 2019 | 2.436030e+09 | 2.230199e+09 | 21.61364 | 21.52536 |
| Liberia | LR | LBR | 2019 | 3.319597e+09 | NA | 21.92311 | NA |
| Libya | LY | LBY | 2019 | 6.925414e+10 | 2.449797e+10 | 24.96105 | 23.92186 |
| Liechtenstein | LI | LIE | 2019 | 6.436467e+09 | NA | 22.58525 | NA |
| Lithuania | LT | LTU | 2019 | 5.476062e+10 | 3.942493e+10 | 24.72624 | 24.39766 |
| Low & middle income | XO | LMY | 2019 | 3.211042e+13 | 7.495398e+12 | 31.10020 | 29.64531 |
| Low income | XM | 2019 | 4.422870e+11 | 1.460904e+11 | 26.81522 | 25.70749 | |
| Lower middle income | XN | 2019 | 6.874527e+12 | 1.968809e+12 | 29.55884 | 28.30845 | |
| Luxembourg | LU | LUX | 2019 | 6.982564e+10 | 1.211630e+11 | 24.96927 | 25.52040 |
| Macao SAR, China | MO | MAC | 2019 | 5.520496e+10 | 1.759365e+10 | 24.73432 | 23.59080 |
| Madagascar | MG | MDG | 2019 | 1.410466e+10 | 4.820540e+09 | 23.36977 | 22.29615 |
| Malawi | MW | MWI | 2019 | 1.102537e+10 | NA | 23.12346 | NA |
| Malaysia | MY | MYS | 2019 | 3.651777e+11 | 2.108931e+11 | 26.62365 | 26.07462 |
| Maldives | MV | MDV | 2019 | 5.609385e+09 | 4.399129e+09 | 22.44771 | 22.20467 |
| Mali | ML | MLI | 2019 | 1.728025e+10 | 6.558445e+09 | 23.57283 | 22.60402 |
| Malta | MT | MLT | 2019 | 1.588126e+10 | 2.368903e+10 | 23.48841 | 23.88828 |
| Marshall Islands | MH | MHL | 2019 | 2.320923e+08 | 2.670904e+08 | 19.26265 | 19.40310 |
| Mauritania | MR | MRT | 2019 | 8.066119e+09 | 4.404477e+09 | 22.81094 | 22.20589 |
| Mauritius | MU | MUS | 2019 | 1.443635e+10 | 7.538243e+09 | 23.39301 | 22.74326 |
| Mexico | MX | MEX | 2019 | 1.269010e+12 | 4.958790e+11 | 27.86926 | 26.92960 |
| Micronesia, Fed. Sts. | FM | FSM | 2019 | 4.120000e+08 | 3.027000e+08 | 19.83653 | 19.52825 |
| Middle East & North Africa (excluding high income) | XQ | MNA | 2019 | 1.408625e+12 | 4.544277e+11 | 27.97363 | 26.84230 |
| Middle East & North Africa (IDA & IBRD countries) | T3 | TMN | 2019 | 1.391491e+12 | 4.452660e+11 | 27.96140 | 26.82194 |
| Middle East & North Africa | ZQ | MEA | 2019 | 3.522808e+12 | 1.287199e+12 | 28.89028 | 27.88349 |
| Middle income | XP | MIC | 2019 | 3.166750e+13 | 7.349190e+12 | 31.08631 | 29.62561 |
| Moldova | MD | MDA | 2019 | 1.173577e+10 | 6.623806e+09 | 23.18591 | 22.61394 |
| Monaco | MC | MCO | 2019 | 7.383942e+09 | NA | 22.72257 | NA |
| Mongolia | MN | MNG | 2019 | 1.420636e+10 | 9.259603e+09 | 23.37696 | 22.94893 |
| Montenegro | ME | MNE | 2019 | 5.542054e+09 | 3.602221e+09 | 22.43563 | 22.00482 |
| Morocco | MA | MAR | 2019 | 1.289203e+11 | 5.402411e+10 | 25.58246 | 24.71270 |
| Mozambique | MZ | MOZ | 2019 | 1.539003e+10 | 1.227056e+10 | 23.45699 | 23.23047 |
| Myanmar | MM | MMR | 2019 | 6.869776e+10 | 2.081490e+10 | 24.95298 | 23.75893 |
| Namibia | NA | NAM | 2019 | 1.254193e+10 | 5.832030e+09 | 23.25234 | 22.48663 |
| Nauru | NR | NRU | 2019 | 1.251601e+08 | 1.194385e+08 | 18.64510 | 18.59831 |
| Nepal | NP | NPL | 2019 | 3.418618e+10 | 1.417687e+10 | 24.25509 | 23.37488 |
| Netherlands | NL | NLD | 2019 | 9.101943e+11 | 6.620113e+11 | 27.53692 | 27.21855 |
| New Caledonia | NC | NCL | 2019 | 9.475655e+09 | NA | 22.97199 | NA |
| New Zealand | NZ | NZL | 2019 | 2.130920e+11 | 5.767273e+10 | 26.08499 | 24.77805 |
| Nicaragua | NI | NIC | 2019 | 1.269903e+10 | 6.252720e+09 | 23.26479 | 22.55628 |
| Niger | NE | NER | 2019 | 1.291645e+10 | 3.396076e+09 | 23.28177 | 21.94589 |
| Nigeria | NG | NGA | 2019 | 4.745175e+11 | 9.396846e+10 | 26.88556 | 25.26623 |
| North America | XU | NAC | 2019 | 2.313212e+13 | 3.708858e+12 | 30.77224 | 28.94175 |
| North Macedonia | MK | MKD | 2019 | 1.260634e+10 | 9.602018e+09 | 23.25747 | 22.98524 |
| Northern Mariana Islands | MP | MNP | 2019 | 1.181000e+09 | 7.350000e+08 | 20.88963 | 20.41538 |
| Norway | NO | NOR | 2019 | 4.087428e+11 | 1.400144e+11 | 26.73635 | 25.66501 |
| Not classified | XY | 2019 | NA | NA | NA | NA | |
| OECD members | OE | OED | 2019 | 5.387816e+13 | 1.505620e+13 | 31.61775 | 30.34281 |
| Oman | OM | OMN | 2019 | 8.806086e+10 | 3.256853e+10 | 25.20129 | 24.20661 |
| Other small states | S4 | OSS | 2019 | 4.341190e+11 | 2.293805e+11 | 26.79658 | 26.15865 |
| Pacific island small states | S2 | PSS | 2019 | 1.073984e+10 | 6.352216e+09 | 23.09723 | 22.57207 |
| Pakistan | PK | PAK | 2019 | 3.209095e+11 | 6.262456e+10 | 26.49442 | 24.86042 |
| Palau | PW | PLW | 2019 | 2.789000e+08 | NA | 19.44636 | NA |
| Panama | PA | PAN | 2019 | 6.972179e+10 | NA | 24.96778 | NA |
| Papua New Guinea | PG | PNG | 2019 | 2.475107e+10 | NA | 23.93213 | NA |
| Paraguay | PY | PRY | 2019 | 3.792534e+10 | 1.332502e+10 | 24.35889 | 23.31291 |
| Peru | PE | PER | 2019 | 2.283259e+11 | 5.229671e+10 | 26.15404 | 24.68020 |
| Philippines | PH | PHL | 2019 | 3.768234e+11 | 1.524587e+11 | 26.65504 | 25.75016 |
| Poland | PL | POL | 2019 | 5.960585e+11 | 2.950095e+11 | 27.11360 | 26.41027 |
| Portugal | PT | PRT | 2019 | 2.399869e+11 | 1.033295e+11 | 26.20385 | 25.36119 |
| Post-demographic dividend | V4 | PST | 2019 | 5.088006e+13 | 1.455643e+13 | 31.56049 | 30.30905 |
| Pre-demographic dividend | V1 | PRE | 2019 | 1.421161e+12 | 3.744305e+11 | 27.98250 | 26.64867 |
| Puerto Rico | PR | PRI | 2019 | 1.051264e+11 | 4.940160e+10 | 25.37843 | 24.62325 |
| Qatar | QA | QAT | 2019 | 1.763713e+11 | 6.676978e+10 | 25.89586 | 24.92452 |
| Romania | RO | ROU | 2019 | 2.510178e+11 | 1.112081e+11 | 26.24879 | 25.43467 |
| Russian Federation | RU | RUS | 2019 | 1.693115e+12 | 3.520887e+11 | 28.15759 | 26.58715 |
| Rwanda | RW | RWA | 2019 | 1.034668e+10 | 3.741294e+09 | 23.05993 | 22.04270 |
| Samoa | WS | WSM | 2019 | 9.129506e+08 | 4.409346e+08 | 20.63219 | 19.90441 |
| San Marino | SM | SMR | 2019 | 1.616189e+09 | 2.315474e+09 | 21.20334 | 21.56288 |
| Sao Tome and Principe | ST | STP | 2019 | 4.274250e+08 | NA | 19.87329 | NA |
| Saudi Arabia | SA | SAU | 2019 | 8.385647e+11 | 2.189408e+11 | 27.45496 | 26.11207 |
| Senegal | SN | SEN | 2019 | 2.340400e+10 | 9.186798e+09 | 23.87617 | 22.94103 |
| Serbia | RS | SRB | 2019 | 5.151424e+10 | 3.139467e+10 | 24.66512 | 24.16990 |
| Seychelles | SC | SYC | 2019 | 1.645091e+09 | 1.701459e+09 | 21.22106 | 21.25475 |
| Sierra Leone | SL | SLE | 2019 | 4.076579e+09 | 1.546805e+09 | 22.12852 | 21.15946 |
| Singapore | SG | SGP | 2019 | 3.768375e+11 | 5.505937e+11 | 26.65508 | 27.03426 |
| Sint Maarten (Dutch part) | SX | SXM | 2019 | 1.459777e+09 | NA | 21.10155 | NA |
| Slovak Republic | SK | SVK | 2019 | 1.057101e+11 | 9.681579e+10 | 25.38397 | 25.29608 |
| Slovenia | SI | SVN | 2019 | 5.433159e+10 | 4.080292e+10 | 24.71837 | 24.43202 |
| Small states | S1 | SST | 2019 | 5.221416e+11 | 2.798815e+11 | 26.98120 | 26.35763 |
| Solomon Islands | SB | SLB | 2019 | 1.619155e+09 | 7.528992e+08 | 21.20517 | 20.43944 |
| Somalia | SO | SOM | 2019 | 6.485000e+09 | 5.423000e+09 | 22.59276 | 22.41391 |
| South Africa | ZA | ZAF | 2019 | 3.885312e+11 | 1.039604e+11 | 26.68564 | 25.36728 |
| South Asia (IDA & IBRD) | T5 | TSA | 2019 | 3.658005e+12 | 7.859777e+11 | 28.92794 | 27.39019 |
| South Asia | 8S | SAS | 2019 | 3.658005e+12 | 7.859777e+11 | 28.92794 | 27.39019 |
| South Sudan | SS | SSD | 2019 | NA | NA | NA | NA |
| Spain | ES | ESP | 2019 | 1.394320e+12 | 4.457221e+11 | 27.96343 | 26.82296 |
| Sri Lanka | LK | LKA | 2019 | 8.901498e+10 | 2.456991e+10 | 25.21207 | 23.92479 |
| St. Kitts and Nevis | KN | KNA | 2019 | 1.107844e+09 | NA | 20.82568 | NA |
| St. Lucia | LC | LCA | 2019 | 2.094185e+09 | NA | 21.46243 | NA |
| St. Martin (French part) | MF | MAF | 2019 | NA | NA | NA | NA |
| St. Vincent and the Grenadines | VC | VCT | 2019 | 9.107657e+08 | NA | 20.62980 | NA |
| Sub-Saharan Africa (excluding high income) | ZF | SSA | 2019 | 1.821727e+12 | 4.805388e+11 | 28.23081 | 26.89817 |
| Sub-Saharan Africa (IDA & IBRD countries) | T6 | TSS | 2019 | 1.823372e+12 | 4.822462e+11 | 28.23171 | 26.90172 |
| Sub-Saharan Africa | ZG | SSF | 2019 | 1.823372e+12 | 4.822462e+11 | 28.23171 | 26.90172 |
| Sudan | SD | SDN | 2019 | 3.233808e+10 | 5.713051e+09 | 24.19951 | 22.46602 |
| Suriname | SR | SUR | 2019 | 4.016041e+09 | NA | 22.11356 | NA |
| Sweden | SE | SWE | 2019 | 5.338795e+11 | 2.329029e+11 | 27.00344 | 26.17389 |
| Switzerland | CH | CHE | 2019 | 7.213691e+11 | 4.123506e+11 | 27.30442 | 26.74514 |
| Syrian Arab Republic | SY | SYR | 2019 | 2.260090e+10 | 6.551865e+09 | 23.84126 | 22.60302 |
| Tajikistan | TJ | TJK | 2019 | 8.300814e+09 | 3.408736e+09 | 22.83962 | 21.94961 |
| Tanzania | TZ | TZA | 2019 | 6.102677e+10 | 1.036347e+10 | 24.83458 | 23.06155 |
| Thailand | TH | THA | 2019 | 5.439767e+11 | 2.729165e+11 | 27.02217 | 26.33243 |
| Timor-Leste | TL | TLS | 2019 | 2.028552e+09 | 1.004126e+09 | 21.43059 | 20.72738 |
| Togo | TG | TGO | 2019 | 6.992656e+09 | 2.272989e+09 | 22.66813 | 21.54436 |
| Tonga | TO | TON | 2019 | 5.120536e+08 | 3.338263e+08 | 20.05394 | 19.62613 |
| Trinidad and Tobago | TT | TTO | 2019 | 2.384956e+10 | NA | 23.89503 | NA |
| Tunisia | TN | TUN | 2019 | 4.190564e+10 | 2.362736e+10 | 24.45869 | 23.88567 |
| Turkiye | TR | TUR | 2019 | 7.599348e+11 | 2.292079e+11 | 27.35650 | 26.15790 |
| Turkmenistan | TM | TKM | 2019 | 4.422029e+10 | 8.844000e+09 | 24.51245 | 22.90301 |
| Turks and Caicos Islands | TC | TCA | 2019 | 1.197415e+09 | NA | 20.90343 | NA |
| Tuvalu | TV | TUV | 2019 | 5.412320e+07 | NA | 17.80677 | NA |
| Uganda | UG | UGA | 2019 | 3.534816e+10 | 7.865670e+09 | 24.28851 | 22.78577 |
| Ukraine | UA | UKR | 2019 | 1.538830e+11 | 7.583286e+10 | 25.75946 | 25.05180 |
| United Arab Emirates | AE | ARE | 2019 | 4.179897e+11 | 2.955998e+11 | 26.75872 | 26.41227 |
| United Kingdom | GB | GBR | 2019 | 2.857058e+12 | 9.391877e+11 | 28.68081 | 27.56828 |
| United States | US | USA | 2019 | 2.138098e+13 | 3.117235e+12 | 30.69352 | 28.76797 |
| Upper middle income | XT | 2019 | 2.479297e+13 | 5.380594e+12 | 30.84158 | 29.31382 | |
| Uruguay | UY | URY | 2019 | 6.204859e+10 | 1.349365e+10 | 24.85118 | 23.32549 |
| Uzbekistan | UZ | UZB | 2019 | 6.028350e+10 | 2.665756e+10 | 24.82232 | 24.00634 |
| Vanuatu | VU | VUT | 2019 | 9.365263e+08 | 4.592509e+08 | 20.65769 | 19.94511 |
| Venezuela, RB | VE | VEN | 2019 | NA | NA | NA | NA |
| Viet Nam | VN | VNM | 2019 | 3.343653e+11 | 2.659763e+11 | 26.53550 | 26.30667 |
| Virgin Islands (U.S.) | VI | VIR | 2019 | 4.117000e+09 | 4.148000e+09 | 22.13839 | 22.14589 |
| West Bank and Gaza | PS | PSE | 2019 | 1.713350e+10 | 9.161700e+09 | 23.56430 | 22.93830 |
| World | 1W | WLD | 2019 | 8.772810e+13 | 2.436973e+13 | 32.10526 | 30.82436 |
| Yemen, Rep. | YE | YEM | 2019 | NA | NA | NA | NA |
| Zambia | ZM | ZMB | 2019 | 2.330867e+10 | 7.961078e+09 | 23.87209 | 22.79783 |
| Zimbabwe | ZW | ZWE | 2019 | 2.183223e+10 | 5.572484e+09 | 23.80665 | 22.44111 |
Menggunakan beberapa sumber data
Pertemuan 8
Metodologi penelitian
After UTS
Sumber download data & data visualization.
cara menggunakan reference managers.
Publish your writing on a website.
kerangka tulisan, literature review, dan methods.
Mengapa kita menggunakan data?
Data dapat menyampaikan konteks dengan efisien.
- pembaca orang sibuk. makanya harus efisien.
Data sangat powerful untuk menyampaikan pesan.
Data menunjukkan seberapa paham kita dengan isu.
Data biasanya cukup obyektif.
Bagaimana menggunakan data?
- data bukanlah cerita! Ia memperkuat.
- Data adalah support, bukan inti tulisan anda.
- lebih baik jika sudah ada kerangka berpikir.
- Data tidak harus yang berupa statistik.
- bisa juga referensi seperti pasal atau argumen orang lain.
- Data harus relevan!
- jangan pasang data yang anda ga pake.
- Hati-hati dengan informasi yang partisan.
Beberapa sumber data
World Development Indicators. Memiliki visualisasi yang sangat user friendly dan mudah diakses. Isinya berbagai indikator ekonomi makro dari banyak negara. Dapat diakses dengan package
WDI.UN COMTRADE database merupakan sumber data ekspor impor yang dikelola oleh PBB. Memiliki data yang sangat luas tentang ekspor impor berbagai negara dalam berbagai kode HS.
BPS adalah sumber data resmi milik pemerintah. BPS memiliki berbagai data tentang Indonesia yang cukup akurat di bidang ekonomi maupun bidang lainnya.
SEKI dimaintain BI, isinya indikator-indikator ekonomi termasuk trade. Di BPS juga ada sih.
WDI
Sumber data yang paling enak nyarinya dan sering sekali saya pakai untuk bikin artikel blog.
dapat mulai dengan mencari indikator ataupun mencari negara.
Saya biasanya memulai dengan mencari indikator.
data dapat didisplay, diembed (jika anda cukup tech savvy), dan didwonload dalam bentuk excel.
Excel akan download semua negara untuk 1 indikator. Jangan lupa difilter.
Dapat dibuka di data.worldbank.org
WDI in R
Bagi pengguna R, lebih enak akses WDI pakai package
WDI.Kami menggunakan package
WDIuntuk bikin materi Metopel part 1.Untuk menggunakannya, jangan lupa
install.packages("WDI")lalulibrary("WDI"). Jangan lupa anda perlu internet tiap ngerun WDI.Part paling krusial adalam mengetahui “indicator”
WDI in R
library(WDI)
library(tidyverse)
library(writexl)
indi<-c( # membuat dictionary
"PDB"="NY.GDP.MKTP.CD", ## nama, diikuti indikator di WDI.
"import"="NE.IMP.GNFS.CD" ## Cek indikator di website.
)
dat<-WDI( # Menarik data World Bank
country="all",
indicator=indi,
start=2019,end=2019,
)
dat$LPDB<-log(dat$PDB) # menambahkan transformasi log
dat$Limport<-log(dat$import)
write_xlsx(dat,"dat.xlsx") # Ngesave hasilnya dalam excel
View(dat)UNCOMTRADE
UN COMTRADE adalah bagian dari PBB yang memiliki fungsi menganalisis perdagangan internasional.
Database di UN COMTRADE cukup lengkap jika kita tertarik dengan ekspor impor banyak negara dalam HS tertentu.
Dapat diakses di comtrade.un.org, tapi bikin account dulu, lalu login. Gratis.
Hasilnya dapat didownload dalam excel.
BPS
Badan Pusat Statistik adalah lembaga resmi milik pemerintah yang bertanggung jawab atas pengumpulan dan diseminasi atas berbagai data.
Dapat diakses di bps.go.id
Menu yang terpenting ada di kiri, lalu pilih judul tabel yang diinginkan.
pilih “unduh tabel” di kanan atas, akan didownload dalam excel.
Untuk data perdagangan Indonesia bisa langsung ke bps.go.id/exim
SEKI
SEKI dimaintain oleh BI, naturally isinya adalah data-data sektor riil dan keuangan makro seperti exchange rate, interest rate, dan lain sebagainya.
Data-data trade di SEKI juga lumayan menarik.
Akses SEKI di sini atau google “SEKI Bank Indonesia”/
Problem SEKI&BPS->datanya kotor. ga machine readable. Agak PR bersihinnya.
Penutup
Anda dapat menggunakan data-data di sini untuk tugas akhir.
Jangan lupa mensitasi data-data ini jika anda gunakan.
Tentu saja ada banyak sumber data lain yg dapat anda gunakan. Tapi kalau bisa 4 ini pun sudah lumayan.
Next to install
Harapan kami, anda sudah cukup lancar ngutak atik RStudio.
Next, pastikan anda punya package
tidyverse. kalo belum, install denganinstall.packages("tidyverse")Anda perlu mendownload 2 program baru:
nginstallnya gampang. tinggal download, run, lalu pencet next2 aja.
Menggunakan beberapa sumber data Pertemuan 8 Metodologi penelitian