| 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 | 1.825820e+12 | 5.196129e+11 | 28.23305 | 26.97635 |
| 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 |
| Vietnam | 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 |
Metodologi penelitian
Pertemuan 1
Prodi PIWAR Politeknik APP Jakarta
Hari ini ☀️
- Administrasi
- Refresh OLS
Tentang Metodoologi penelitian
- Part 1 Melanjutkan math&stats.
- time series regression.
- Part 2 fokus ke metode penulisan laporan penelitian.
- Pola berpikir,struktur laporan & cara mengisinya.
- mencari data perdagangan dan visualisasinya.
- Membuat dokumennya.
- Sebagian besar materi merupakan pengenalan minimal.
- Pendalaman bisa dilakukan di luar kelas.
Kenapa metodologi penelitian
- Meneliti pada hakikatnya adalah skill dasar:
- memahami bagaimana formulasikan pertanyaan.
- mencari cara menjawabnya.
- menggunakan tools data analytics & visualization menjadi semakin mainstream.
- skill bermain dengan data menjadi nilai penting.
- Diharapkan mahasiswa minimal ter-ekspose dengan data analytics & visualization yang bisa dikembangkan sendiri ke depan.
Informasi Pengajar
| nama | ruangan | matkul lain |
|---|---|---|
| Bayu Prabowo Sutjiatmo | Ruang Kaprodi PIWAR | - |
| Theresia Anindita | Ruang Pudir II | - |
| I Made Krisna | A2004 (Ruang Kerja Sama) | LLP |
Ekspektasi dari mahasiswa
- Sudah mahir probabilitas dan regresi sederhana.
- harusnya aman kalau lulus stats&math.
- Tidak perlu bisa bahasa inggris, but a good command of english will certainly be helpful
- Lumayan membantu jika bisa spreadsheet.
- Punya akses terhadap internet dan alat komputasi seperti laptop.
Beberapa aturan
- kuliah efektif antara 90 - 100 menit.
- Kehadiran tidak diwajibkan.
- Yang hadir wajib untuk tertib dan tidak boleh berisik.
- Mahasiswa dipersilakan meninggalkan kelas untuk alasan apapun.
- Tidak perlu ijin dulu.
- Silakan tanya kapan saja jika bingung.
Tools
Kuliah ini dapat diakses di krisna.or.id/courses/metopel/slides
- pencet
E, tunggu, laluctrl+P(PDF) - klik kanan, save page as. (html).
- pencet
pasca-UTS anda butuh Zotero dan Quarto.
- downloadnya nanti aja siapa tau ada update.
Struktur kuliah
| minggu | konten |
|---|---|
| 1 | intro & regresi multivariat |
| 2 | Prinsip dasar OLS |
| 3 | Karakteristik umum data |
| 4 | Data serial waktu |
| 5 | Regresi time series |
| 6 | Teknik lanjutan time series |
| 7 | Lanjut time series + intro to R and RStudio |
| 8 | UTS |
Struktur kuliah
| minggu | konten |
|---|---|
| 9 | mencari dan melakukan visualisasi data |
| 10 | Visualisasi di R dengan ggplot |
| 11 | Regresi di R |
| 12 | Menulis dokumen di RStudio |
| 13 | Menggunakan Zotero |
| 14 | Proses membuat laporan yang baik |
| 15 | Pedoman TA Politeknik APP Jakarta |
Nilai ✍🏾
| evaluation | covers | % |
|---|---|---|
| Tugas kelompok | semua | 30 |
| UTS | 7 minggu pertama | 30 |
| Tugas individu | semua | 40 |
- Slides saja mestinya cukup untuk dapat 100 di UTS.
- Tugas kelompok akan berupa replikasi sebuah laporan penelitian.
- detil setelah UTS
- Tugas individu berupa membuat laporan dalam 3 format: pdf, html dan docx.
- contohnya begini.
- webpage ini dapat jadi portofolio anda.
Questions?
Question!
Ada yang bisa menjelaskan apa materi regresi di Math&Stats?
Apakah seperti ini?
\[ Y_i=\beta_0+\beta_1 X_i+\mu_i \]
Regresi
- Disebut juga dengan Ordinary Least Square (OLS).
- Digunakan untuk mencari parameter yang menghubungkan dua variabel.
- Metode OLS sangat sering digunakan untuk penelitian karena dia simpel namun powerful.
- Namun, bisa regresi saja tidak cukup!
- kita tau cara menyampaikan hasilnya dengan tepat.
Regresi univariat
\[ Y_i=\beta_0+\beta_1 X_i+\mu_i \]
- Y disebut juga variabel dependen
- X disebut juga variabel independen
- nilai Y dan X kita dapatkan dari data
- \(\beta_0\) dan \(\beta_1\) disebut parameter. Nilainya kita dapat dari hasil estimasi komputer.
- \(\mu\) disebut juga error term / residual. Dia bersifat independen
Regresi dengan R
- Melakukan itu semua dengan R dan RStudio, termasuk visualisasi data dan membuat laporan penelitiannya.
- Kelas ini akan fokus menggunakan data-data perdagangan dari berbagai sumber.
- Kenapa R dan RStudio?
- Gratis.
- Mature, intuitive dan mudah kalau mau pindah bahasa.
- Digunakan banyak profesional juga.
- Gratis!!!!
Contoh regresi dengan R
Menarik data World Development Indicators punya World Bank:
#| echo: true
library(WDI)
library(tidyverse)
indi<-c( # membuat dictionary
"PDB"="NY.GDP.MKTP.CD",
"import"="NE.IMP.GNFS.CD"
)
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)Menggambar grafik
library(ggrepel)
weleh<-subset(dat,iso2c%in%c("ID","KR","CN","US","GB","EU","SG",
"TL","BN","KH","MY","TH","JP"))
www<-dat %>% ggplot(aes(x=Limport,y=LPDB)) + geom_point() + geom_smooth(method="lm")
www+geom_label_repel(data=weleh,box.padding = 0.35, point.padding = 0.5, segment.color = 'grey50',label=weleh$country,min.segment.length = 0,nudge_y = -4) + theme_classic()
Figure 1: Hubungan impor dan PDB, 2019
Melakukan regresi
Call:
lm(formula = LPDB ~ Limport, data = dat)
Residuals:
Min 1Q Median 3Q Max
-1.67360 -0.27239 0.04236 0.30476 1.40071
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -0.66324 0.29271 -2.266 0.0244 *
Limport 1.06515 0.01187 89.729 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.4788 on 228 degrees of freedom
(36 observations deleted due to missingness)
Multiple R-squared: 0.9725, Adjusted R-squared: 0.9723
F-statistic: 8051 on 1 and 228 DF, p-value: < 2.2e-16R dan Regresi
- Kita perkuat landasan teori dulu
- Kita belajar karakteristik dan asumsi OLS
- Kita juga akan melakukan teknik-teknik regresi yang lebih maju:
- Regresi multivariat: \(Y_i=\beta_0+\sum_j^N \beta_j X_{i,j}+\mu_i\).
- Regresi dengan variabel kategori / Dummy.
- Regresi serial waktu.
- Anda akan menulis penelitian dengan regresi yang lebih kompleks.
Minggu depan
- Karakteristik dan asumsi OLS.
- Regresi multivariat.
- Regresi Biner / kategori.