Data for 2020
Government Effectiveness, 2020
Figures for 2020, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2020 covers 207 countries on 7 measures. Finland is highest, at 2.0581; South Sudan is lowest, at -2.2230. The middle country reads -0.0171. Against 2019, 207 values changed (41 up, 166 down), the same countries are covered.
Government Effectiveness · Data for 2020
HighestFinland
2.0581LowestSouth Sudan
-2.2230Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Government Effectiveness, 2020, as published. World Bank Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 207 countries · select a heading to sort
| derived | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | FINNorthern Europe | 2.0581 | 1.7336 | 1.1650 | 1.94928 | 2.08968 | 2.21727 | 94.470 |
| 2 | SGPSouth-eastern Asia | 2.0500 | -0.0759 | 1.2748 | 2.09986 | 1.48922 | 2.12891 | 94.304 |
| 3 | NLDWestern Europe | 1.9944 | 1.6106 | 0.7181 | 1.74100 | 1.80380 | 1.92779 | 93.165 |
| 4 | NORNorthern Europe | 1.9463 | 1.8432 | 1.1967 | 1.67193 | 2.05760 | 2.08592 | 92.181 |
| 5 | DNKNorthern Europe | 1.9343 | 1.7000 | 0.8637 | 1.96377 | 1.94383 | 2.32632 | 91.935 |
| 6 | CHEWestern Europe | 1.8897 | 1.5340 | 1.1055 | 1.62792 | 1.78603 | 2.28831 | 91.023 |
| 7 | JPNEastern Asia | 1.8682 | 1.0517 | 1.1189 | 1.37609 | 1.50299 | 1.43113 | 90.582 |
| 8 | LUXWestern Europe | 1.8669 | 1.5173 | 1.2112 | 1.79357 | 1.74713 | 2.26914 | 90.557 |
| 9 | SWENorthern Europe | 1.8478 | 1.6511 | 0.9570 | 1.68655 | 1.80392 | 2.14347 | 90.165 |
| =10 | ANDSouthern Europe | 1.7848 | 0.9614 | 1.5579 | 1.10225 | 1.64002 | 1.18071 | 88.875 |
| =10 | MCOWestern Europe | 1.7848 | 0.9750 | 1.1918 | 1.34005 | 1.39729 | 1.18071 | 88.875 |
| 12 | AUTWestern Europe | 1.7435 | 1.4206 | 0.8299 | 1.45324 | 1.73442 | 1.57796 | 88.030 |
| 13 | NZLAustralia and New Zealand | 1.7008 | 1.6850 | 1.4724 | 1.92749 | 1.77833 | 2.15433 | 87.157 |
| 14 | CANNorthern America | 1.6669 | 1.5437 | 0.9329 | 1.58627 | 1.58097 | 1.64411 | 86.462 |
| 15 | DEUWestern Europe | 1.6550 | 1.4913 | 0.6997 | 1.54807 | 1.60974 | 1.85022 | 86.219 |
| 16 | LIEWestern Europe | 1.6518 | 1.3313 | 1.6547 | 1.65579 | 1.64664 | 2.01942 | 86.154 |
| 17 | ISLNorthern Europe | 1.6122 | 1.3773 | 1.3195 | 1.50366 | 1.68198 | 1.84146 | 85.343 |
| 18 | TWNEastern Asia | 1.6015 | 1.0740 | 1.0541 | 1.23662 | 1.27182 | 1.22259 | 85.123 |
| 19 | AUSAustralia and New Zealand | 1.5475 | 1.3933 | 0.8780 | 1.79254 | 1.55198 | 1.60791 | 84.018 |
| 20 | KOREastern Asia | 1.5409 | 0.8955 | 0.8409 | 0.94062 | 1.16121 | 0.75854 | 83.883 |
| =21 | BMUNorthern America | 1.4387 | — | 0.9632 | 0.86446 | 0.65693 | 1.18071 | 81.791 |
| =21 | SMRSouthern Europe | 1.4387 | 1.1805 | 1.1918 | 0.86446 | 1.48842 | 1.18071 | 81.791 |
| 23 | FRAWestern Europe | 1.3668 | 1.1208 | 0.1380 | 1.25536 | 1.15904 | 1.28694 | 80.320 |
| 24 | GBRNorthern Europe | 1.3547 | 1.3017 | 0.5090 | 1.61585 | 1.35375 | 1.72901 | 80.072 |
| 25 | USANorthern America | 1.3413 | 0.9441 | -0.1281 | 1.26018 | 1.02909 | 1.12537 | 79.797 |
| 26 | HKGEastern Asia | 1.3312 | 0.1429 | 0.0137 | 1.81761 | 1.18104 | 1.68851 | 79.590 |
| 27 | IRLNorthern Europe | 1.3164 | 1.3826 | 0.8730 | 1.48287 | 1.43839 | 1.52557 | 79.289 |
| 28 | ESTNorthern Europe | 1.2344 | 1.3265 | 0.9083 | 1.50912 | 1.44302 | 1.51969 | 77.611 |
| 29 | BELWestern Europe | 1.1947 | 1.3706 | 0.3606 | 1.37260 | 1.40774 | 1.41428 | 76.798 |
| 30 | SVNSouthern Europe | 1.1945 | 1.0278 | 0.7477 | 0.87331 | 0.91140 | 0.70896 | 76.792 |
| 31 | ISRWestern Asia | 1.1512 | 0.6444 | -0.5684 | 1.19874 | 0.85825 | 0.69179 | 75.908 |
| 32 | PRTSouthern Europe | 1.0783 | 1.2742 | 0.9811 | 0.86227 | 1.15540 | 0.79334 | 74.415 |
| 33 | CZEEastern Europe | 1.0327 | 0.9304 | 0.9053 | 1.11797 | 1.08217 | 0.58614 | 73.482 |
| 34 | ESPSouthern Europe | 1.0315 | 1.0570 | 0.3116 | 0.87962 | 0.97182 | 0.78117 | 73.458 |
| 35 | BRNSouth-eastern Asia | 1.0017 | -0.9288 | 1.1357 | 0.87494 | 0.58734 | 1.18091 | 72.846 |
| 36 | MACEastern Asia | 0.9695 | -0.1010 | 1.0579 | 1.43908 | 0.86016 | 0.57417 | 72.188 |
| 37 | MLTSouthern Europe | 0.9640 | 1.1179 | 0.9899 | 1.12504 | 0.88764 | 0.49915 | 72.076 |
| 38 | MUSEastern Africa | 0.9564 | 0.5366 | 0.9140 | 1.00665 | 0.94873 | 0.34574 | 71.920 |
| 39 | MYSSouth-eastern Asia | 0.9352 | -0.1251 | 0.1128 | 0.65913 | 0.37916 | 0.42046 | 71.485 |
| 40 | CHLSouth America | 0.9319 | 1.0427 | 0.1429 | 0.93794 | 0.75240 | 1.21737 | 71.418 |
| 41 | CYPWestern Asia | 0.9173 | 1.0634 | 0.4516 | 0.93071 | 0.77037 | 0.46244 | 71.120 |
| 42 | LTUNorthern Europe | 0.8964 | 1.0310 | 1.1309 | 0.93048 | 1.02957 | 0.87676 | 70.692 |
| 43 | URYSouth America | 0.8551 | 1.2510 | 1.1399 | 0.65812 | 0.88661 | 1.51469 | 69.846 |
| 44 | AREWestern Asia | 0.8423 | -1.0222 | 0.8203 | 1.01050 | 0.37965 | 1.06060 | 69.584 |
| 45 | LVANorthern Europe | 0.8373 | 0.9038 | 0.7246 | 1.03872 | 0.90535 | 0.71572 | 69.483 |
| 46 | QATWestern Asia | 0.8316 | -1.4047 | 0.8752 | 0.78648 | 0.47242 | 0.87381 | 69.365 |
| =47 | ABWCaribbean | 0.7821 | 1.4326 | 1.3443 | 0.98039 | 1.30041 | 1.16453 | 68.351 |
| =47 | CYMCaribbean | 0.7821 | 0.5124 | 1.2972 | 1.08506 | 0.78678 | 0.60484 | 68.351 |
| =49 | ASMPolynesia | 0.7465 | 1.0623 | 1.2577 | 0.38887 | 1.21417 | 1.18071 | 67.622 |
| =49 | AIACaribbean | 0.7465 | — | 1.4059 | 0.86446 | 0.42557 | 0.55632 | 67.622 |
| =49 | GUMMicronesia | 0.7465 | 1.0904 | 0.9925 | 0.38887 | 1.17259 | 1.18071 | 67.622 |
| =49 | KNACaribbean | 0.7465 | 0.5661 | 0.9157 | 0.46538 | 0.63025 | 0.32988 | 67.622 |
| 53 | POLEastern Europe | 0.6715 | 0.5194 | 0.5487 | 0.74879 | 0.46470 | 0.73369 | 66.088 |
| 54 | HUNEastern Europe | 0.6349 | 0.1659 | 0.7860 | 0.52006 | 0.37391 | 0.08714 | 65.340 |
| 55 | SVKEastern Europe | 0.6221 | 0.9246 | 0.6065 | 0.67086 | 0.51367 | 0.33703 | 65.076 |
| 56 | ITASouthern Europe | 0.6094 | 0.9982 | 0.3360 | 0.55153 | 0.51182 | 0.42169 | 64.817 |
| 57 | CHNEastern Asia | 0.6071 | -1.6492 | -0.3106 | -0.02411 | -0.44596 | 0.07290 | 64.771 |
| 58 | BTNSouthern Asia | 0.5793 | 0.1798 | 1.0959 | -0.03406 | 0.67208 | 1.33975 | 64.200 |
| 59 | BRBCaribbean | 0.5668 | 1.0321 | 1.0455 | 0.42328 | 0.68861 | 1.17020 | 63.946 |
| 60 | FJIMelanesia | 0.5509 | 0.0471 | 0.5939 | -0.14316 | 0.21693 | 0.53963 | 63.620 |
| 61 | HRVSouthern Europe | 0.5432 | 0.5706 | 0.6465 | 0.24562 | 0.36163 | 0.09370 | 63.462 |
| 62 | BHSCaribbean | 0.5179 | 0.6948 | 0.7167 | -0.06307 | 0.30263 | 1.21090 | 62.945 |
| 63 | WSMPolynesia | 0.5123 | 0.9660 | 1.1676 | -0.08603 | 1.20646 | 0.81195 | 62.829 |
| 64 | SYCEastern Africa | 0.5084 | 0.6090 | 0.7138 | 0.28599 | 0.53417 | 1.14521 | 62.750 |
| 65 | TTOCaribbean | 0.5004 | 0.5615 | 0.0582 | -0.10615 | -0.14164 | -0.19271 | 62.586 |
| 66 | CPVWestern Africa | 0.4926 | 0.8200 | 0.8225 | 0.01010 | 0.67395 | 0.79097 | 62.427 |
| 67 | JAMCaribbean | 0.4802 | 0.5809 | 0.1374 | 0.13697 | -0.10438 | -0.07796 | 62.172 |
| 68 | GRCSouthern Europe | 0.4801 | 0.7957 | 0.2960 | 0.49280 | 0.42889 | 0.22716 | 62.170 |
| 69 | INDSouthern Asia | 0.4546 | 0.1364 | -0.7238 | -0.16510 | -0.07762 | -0.25699 | 61.650 |
| 70 | PANCentral America | 0.4063 | 0.5839 | 0.3378 | 0.29951 | -0.21876 | -0.51967 | 60.661 |
| 71 | VIRCaribbean | 0.4003 | — | 0.9632 | 1.10225 | 0.88828 | -0.06807 | 60.538 |
| 72 | BWASouthern Africa | 0.3907 | 0.3506 | 1.0683 | 0.41679 | 0.36143 | 0.71968 | 60.342 |
| 73 | IDNSouth-eastern Asia | 0.3557 | 0.1381 | -0.5413 | 0.19406 | -0.16758 | -0.34914 | 59.625 |
| 74 | GEOWestern Asia | 0.3545 | 0.1571 | -0.1294 | 0.88419 | 0.26023 | 0.81561 | 59.601 |
| 75 | GRLNorthern America | 0.3540 | 1.4326 | 1.7612 | 1.52828 | 1.64260 | 1.11157 | 59.590 |
| 76 | VCTCaribbean | 0.2880 | 0.7322 | 1.0350 | 0.17568 | 0.67701 | 0.76218 | 58.238 |
| 77 | CRICentral America | 0.2831 | 1.1845 | 0.9372 | 0.57807 | 0.61342 | 0.75618 | 58.139 |
| 78 | RWAEastern Africa | 0.2435 | -0.8551 | 0.1456 | 0.10536 | -0.04247 | 0.51186 | 57.327 |
| 79 | BHRWestern Asia | 0.2236 | -1.4275 | -0.6216 | 0.54625 | -0.13410 | -0.09819 | 56.921 |
| 80 | MNESouthern Europe | 0.1943 | 0.2166 | 0.0211 | 0.27636 | 0.10779 | -0.03824 | 56.321 |
| 81 | ZAFSouthern Africa | 0.1938 | 0.5923 | -0.2549 | 0.13027 | -0.04277 | 0.04288 | 56.311 |
| 82 | ARGSouth America | 0.1890 | 0.6301 | 0.0407 | -0.49790 | -0.30827 | -0.13631 | 56.212 |
| 83 | NAMSouthern Africa | 0.1424 | 0.4758 | 0.5109 | 0.10977 | 0.22588 | 0.41954 | 55.259 |
| 84 | PHLSouth-eastern Asia | 0.1341 | -0.1441 | -0.9480 | 0.05920 | -0.62300 | -0.53969 | 55.088 |
| 85 | TURWestern Asia | 0.1256 | -0.9758 | -1.0649 | -0.10496 | -0.68689 | -0.32752 | 54.915 |
| 86 | SENWestern Africa | 0.1247 | 0.1366 | -0.0475 | -0.27695 | -0.09837 | -0.01542 | 54.897 |
| 87 | LCACaribbean | 0.1150 | 0.6310 | 0.8533 | 0.28151 | 0.63101 | 0.38198 | 54.698 |
| 88 | FSMMicronesia | 0.1057 | 0.8042 | 1.1100 | -0.86226 | 0.72170 | 0.40494 | 54.508 |
| 89 | THASouth-eastern Asia | 0.0889 | -0.8430 | -0.7426 | 0.09725 | -0.17315 | -0.38468 | 54.164 |
| 90 | GHAWestern Africa | 0.0557 | 0.3971 | 0.0569 | -0.14951 | 0.09309 | -0.09754 | 53.483 |
| 91 | TONPolynesia | 0.0550 | 0.9659 | 1.1127 | -0.38635 | 0.77160 | -0.27546 | 53.469 |
| 92 | OMNWestern Asia | 0.0521 | -0.9158 | 0.4605 | 0.49075 | 0.26368 | 0.02089 | 53.411 |
| 93 | SRBSouthern Europe | 0.0403 | -0.1224 | -0.0806 | 0.12355 | -0.10878 | -0.37078 | 53.169 |
| 94 | BGREastern Europe | 0.0383 | 0.3022 | 0.3986 | 0.37510 | -0.16144 | -0.23386 | 53.128 |
| 95 | SAUWestern Asia | 0.0281 | -1.7179 | -0.5295 | 0.13580 | -0.20649 | 0.31569 | 52.919 |
| 96 | VNMSouth-eastern Asia | 0.0222 | -1.2582 | 0.1021 | -0.22771 | -0.28405 | -0.31337 | 52.799 |
| 97 | MEXCentral America | 0.0117 | -0.0154 | -0.7923 | -0.03126 | -0.94964 | -0.85686 | 52.583 |
| 98 | SURSouth America | 0.0038 | 0.2970 | 0.4542 | -0.70303 | -0.18342 | -0.30106 | 52.422 |
| 99 | TUNNorthern Africa | -0.0003 | 0.2070 | -0.4327 | -0.11421 | 0.00691 | -0.01801 | 52.338 |
| 100 | JORWestern Asia | -0.0062 | -0.7536 | -0.3444 | 0.17029 | 0.09637 | 0.14023 | 52.216 |
| 101 | ALBSouthern Europe | -0.0093 | 0.1374 | -0.0042 | 0.05919 | -0.24811 | -0.66251 | 52.153 |
| 102 | MKDSouthern Europe | -0.0126 | 0.0543 | 0.0670 | 0.39295 | -0.15784 | -0.45911 | 52.086 |
| 103 | KAZCentral Asia | -0.0150 | -0.9802 | -0.2932 | 0.05633 | -0.41800 | -0.29525 | 52.037 |
| 104 | PERSouth America | -0.0171 | 0.3878 | -0.3104 | 0.32652 | -0.40472 | -0.49769 | 51.994 |
| 105 | COLSouth America | -0.0183 | 0.1149 | -0.6852 | 0.23298 | -0.45047 | -0.25651 | 51.969 |
| 106 | BRASouth America | -0.0212 | 0.2863 | -0.4218 | -0.12249 | -0.35751 | -0.33715 | 51.909 |
| 107 | MARNorthern Africa | -0.0305 | -0.7019 | -0.4141 | 0.05006 | -0.29695 | -0.44932 | 51.719 |
| 108 | PLWMicronesia | -0.0466 | 1.0245 | 1.1468 | 0.41640 | 1.16003 | 0.45755 | 51.390 |
| 109 | LKASouthern Asia | -0.0523 | -0.0398 | -0.1288 | -0.07606 | -0.17882 | -0.27706 | 51.274 |
| 110 | SLVCentral America | -0.0667 | 0.0342 | -0.2043 | -0.00862 | -0.65068 | -0.51066 | 50.978 |
| 111 | NRUMicronesia | -0.0761 | 0.3403 | 0.7778 | -0.34946 | 0.22286 | 0.45755 | 50.785 |
| 112 | RUSEastern Europe | -0.0973 | -0.9165 | -0.5281 | -0.45696 | -0.83040 | -0.78216 | 50.352 |
| 113 | KWTWestern Asia | -0.1030 | -0.5957 | 0.1542 | 0.14910 | 0.13004 | -0.15820 | 50.236 |
| 114 | MDVSouthern Asia | -0.1049 | -0.1345 | 0.2072 | -0.37450 | -0.30314 | -0.16584 | 50.197 |
| 115 | GRDCaribbean | -0.1081 | 0.4796 | 1.0350 | -0.14039 | 0.46033 | 0.38233 | 50.131 |
| 116 | BENWestern Africa | -0.1369 | -0.0451 | -0.2667 | -0.46160 | -0.41506 | -0.02490 | 49.542 |
| 117 | AZEWestern Asia | -0.1486 | -1.4994 | -0.5178 | -0.14665 | -0.64137 | -0.77133 | 49.303 |
| 118 | ROUEastern Europe | -0.1508 | 0.5291 | 0.6138 | 0.35493 | 0.44941 | -0.13115 | 49.258 |
| 119 | GUYSouth America | -0.1679 | 0.1377 | -0.0189 | -0.58198 | -0.39244 | -0.11465 | 48.907 |
| 120 | MDAEastern Europe | -0.1996 | 0.0006 | -0.1561 | -0.12024 | -0.37086 | -0.73285 | 48.259 |
| 121 | CUBCaribbean | -0.2269 | -1.3232 | 0.6450 | -1.24575 | -0.53892 | -0.14334 | 47.699 |
| 122 | EGYNorthern Africa | -0.2309 | -1.6114 | -1.1208 | -0.60882 | -0.76712 | -0.79229 | 47.618 |
| 123 | DOMCaribbean | -0.2385 | 0.1912 | 0.2194 | -0.04263 | -0.33381 | -0.70587 | 47.461 |
| 124 | MNGEastern Asia | -0.2399 | 0.2780 | 0.7285 | -0.08239 | -0.17821 | -0.61952 | 47.434 |
| 125 | MHLMicronesia | -0.2509 | 0.7930 | 1.0649 | -0.89135 | 0.82903 | -0.02150 | 47.208 |
| 126 | KENEastern Africa | -0.2550 | -0.4135 | -1.0744 | -0.46559 | -0.56866 | -0.74258 | 47.124 |
| 127 | KIRMicronesia | -0.2781 | 0.9873 | 1.1815 | -0.56805 | 1.19575 | 0.35543 | 46.652 |
| 128 | ECUSouth America | -0.2887 | -0.0366 | -0.1455 | -0.71190 | -0.55065 | -0.51743 | 46.435 |
| 129 | DZANorthern Africa | -0.3187 | -1.0747 | -0.8853 | -1.12212 | -0.79040 | -0.63235 | 45.820 |
| 130 | ARMWestern Asia | -0.3546 | 0.2991 | -0.2853 | 0.20917 | -0.10791 | 0.10146 | 45.086 |
| 131 | DMACaribbean | -0.3847 | 0.4497 | 1.2595 | 0.16887 | 0.66489 | 0.40320 | 44.470 |
| 132 | UKREastern Europe | -0.3866 | 0.1991 | -0.9568 | -0.30690 | -0.57369 | -0.83582 | 44.431 |
| 133 | PRYSouth America | -0.4122 | -0.0420 | -0.0030 | -0.14767 | -0.37362 | -0.81171 | 43.906 |
| 134 | TZAEastern Africa | -0.4373 | -0.6863 | -0.6745 | -0.73738 | -0.57118 | -0.27443 | 43.393 |
| 135 | PRICaribbean | -0.4434 | 0.6117 | 0.3564 | 0.78622 | 0.53683 | 0.28124 | 43.267 |
| 136 | TLSSouth-eastern Asia | -0.4499 | 0.3631 | 0.2460 | -0.86858 | -0.75659 | -0.42114 | 43.134 |
| 137 | GMBWestern Africa | -0.4605 | -0.2737 | 0.1331 | -0.71150 | -0.32168 | -0.17792 | 42.919 |
| 138 | BOLSouth America | -0.4676 | -0.1949 | -0.3899 | -1.02014 | -1.19198 | -0.80528 | 42.772 |
| 139 | CIVWestern Africa | -0.4686 | -0.5518 | -1.1862 | -0.32407 | -0.60183 | -0.48450 | 42.752 |
| 140 | BLZCentral America | -0.4846 | 0.2361 | 0.5849 | -0.58242 | -0.50416 | -0.07513 | 42.426 |
| 141 | STPMiddle Africa | -0.5185 | 0.2450 | 0.4719 | -0.84086 | -0.36742 | 0.07452 | 41.731 |
| 142 | PAKSouthern Asia | -0.5195 | -0.7839 | -1.6007 | -0.69849 | -0.78683 | -0.93747 | 41.710 |
| 143 | ETHEastern Africa | -0.5237 | -1.0323 | -1.5887 | -0.83328 | -0.76737 | -0.36680 | 41.625 |
| 144 | KHMSouth-eastern Asia | -0.5242 | -1.4299 | -0.2884 | -0.64722 | -1.12010 | -1.11792 | 41.613 |
| 145 | XKXSouthern Europe | -0.5299 | 0.1201 | -0.0798 | -0.41164 | -0.26942 | -0.42513 | 41.498 |
| 146 | BGDSouthern Asia | -0.5681 | -0.8640 | -1.0370 | -0.88872 | -0.86374 | -1.07356 | 40.715 |
| 147 | HNDCentral America | -0.5722 | -0.6720 | -0.7016 | -0.55639 | -1.13950 | -1.02593 | 40.632 |
| 148 | KGZCentral Asia | -0.5767 | -0.3655 | -0.5367 | -0.43900 | -0.75599 | -1.05066 | 40.539 |
| 149 | TUVPolynesia | -0.5914 | 1.0082 | 1.2391 | -0.68194 | 0.99365 | 0.20675 | 40.238 |
| 150 | UGAEastern Africa | -0.6048 | -0.7873 | -0.8605 | -0.49015 | -0.64417 | -0.95034 | 39.965 |
| 151 | BFAWestern Africa | -0.6267 | -0.1532 | -1.4170 | -0.51122 | -0.43194 | -0.19791 | 39.515 |
| 152 | SWZSouthern Africa | -0.6302 | -1.3325 | -0.2003 | -0.46567 | -0.62104 | -0.33271 | 39.445 |
| 153 | ATGCaribbean | -0.6380 | 0.5529 | 0.9157 | 0.57708 | 0.59309 | 0.22456 | 39.285 |
| 154 | LSOSouthern Africa | -0.6413 | -0.0509 | -0.1263 | -0.67980 | -0.38962 | -0.02533 | 39.216 |
| 155 | MWIEastern Africa | -0.6482 | -0.0078 | -0.0797 | -0.72242 | -0.26967 | -0.48170 | 39.076 |
| 156 | BLREastern Europe | -0.6556 | -1.3711 | -0.8434 | -0.74042 | -0.91157 | -0.10285 | 38.924 |
| 157 | GTMCentral America | -0.6640 | -0.2891 | -0.5800 | -0.32236 | -0.96152 | -1.09956 | 38.753 |
| 158 | UZBCentral Asia | -0.7000 | -1.3562 | -0.3757 | -1.11091 | -0.94767 | -0.83577 | 38.016 |
| 159 | BIHSouthern Europe | -0.7159 | -0.3352 | -0.2703 | -0.31989 | -0.30660 | -0.62654 | 37.690 |
| 160 | NERWestern Africa | -0.7217 | -0.4970 | -1.5001 | -0.77255 | -0.52165 | -0.53571 | 37.571 |
| 161 | PNGMelanesia | -0.7305 | 0.0253 | -0.8232 | -0.55000 | -0.65468 | -0.54637 | 37.391 |
| 162 | IRNSouthern Asia | -0.7342 | -1.5062 | -1.2280 | -1.39932 | -1.01963 | -1.10346 | 37.315 |
| 163 | DJIEastern Africa | -0.7486 | -1.2947 | -0.4948 | -0.84598 | -1.05096 | -0.81307 | 37.021 |
| 164 | NICCentral America | -0.7538 | -1.2013 | -0.5230 | -0.68574 | -1.37878 | -1.15181 | 36.915 |
| 165 | ZMBEastern Africa | -0.7557 | -0.4483 | -0.3696 | -0.60869 | -0.65143 | -0.60729 | 36.875 |
| 166 | VUTMelanesia | -0.7618 | 0.7684 | 0.9572 | -0.41615 | 0.56946 | -0.02340 | 36.750 |
| 167 | PSEWestern Asia | -0.7689 | -0.7368 | -1.7548 | -0.08779 | -0.86862 | -0.53748 | 36.606 |
| 168 | LAOSouth-eastern Asia | -0.8029 | -1.6909 | 0.4988 | -0.78183 | -0.88442 | -1.06166 | 35.910 |
| 169 | GINWestern Africa | -0.8207 | -0.8421 | -1.1135 | -0.84384 | -1.11383 | -0.86744 | 35.545 |
| 170 | GABMiddle Africa | -0.8275 | -0.9185 | -0.2326 | -0.88267 | -0.91155 | -0.79835 | 35.406 |
| 171 | TJKCentral Asia | -0.8413 | -1.5716 | -0.3483 | -0.83487 | -1.28512 | -1.09108 | 35.124 |
| 172 | MOZEastern Africa | -0.8469 | -0.5149 | -1.3560 | -0.73622 | -1.02329 | -0.78238 | 35.008 |
| 173 | NPLSouthern Asia | -0.8518 | -0.1043 | -0.2833 | -0.69043 | -0.38525 | -0.69937 | 34.908 |
| 174 | CMRMiddle Africa | -0.8587 | -1.1934 | -1.6216 | -0.78213 | -1.19847 | -1.06643 | 34.768 |
| 175 | MDGEastern Africa | -0.8627 | -0.3665 | -0.6007 | -0.84666 | -0.84334 | -0.85201 | 34.686 |
| 176 | MRTWestern Africa | -0.8806 | -0.7842 | -0.6427 | -0.83573 | -0.74307 | -0.78125 | 34.319 |
| 177 | TGOWestern Africa | -0.8810 | -0.7400 | -0.8385 | -0.50793 | -0.61837 | -0.64768 | 34.312 |
| 178 | NGAWestern Africa | -0.9159 | -0.5593 | -2.0005 | -0.90116 | -0.84746 | -1.12322 | 33.597 |
| 179 | LBNWestern Asia | -0.9315 | -0.5578 | -1.3666 | -0.67517 | -0.94162 | -1.23225 | 33.277 |
| 180 | SLEWestern Africa | -0.9474 | -0.2490 | -0.3807 | -0.90744 | -0.69673 | -0.48292 | 32.952 |
| 181 | AGOMiddle Africa | -0.9533 | -0.8324 | -0.6392 | -1.00889 | -0.93787 | -0.93159 | 32.831 |
| 182 | SLBMelanesia | -1.0002 | 0.1751 | 0.5024 | -0.93965 | 0.23027 | -0.02733 | 31.872 |
| 183 | ZWEEastern Africa | -1.0815 | -1.1517 | -1.0400 | -1.35455 | -1.24986 | -1.18476 | 30.208 |
| 184 | TKMCentral Asia | -1.1101 | -1.9981 | -0.1430 | -1.78275 | -1.51816 | -1.37016 | 29.621 |
| 185 | GNQMiddle Africa | -1.1664 | -1.7773 | -0.4115 | -1.52872 | -1.50559 | -1.51963 | 28.470 |
| 186 | MLIWestern Africa | -1.1669 | -0.5924 | -2.0591 | -0.72542 | -0.82791 | -0.77606 | 28.459 |
| 187 | BDIEastern Africa | -1.2099 | -1.5269 | -1.5032 | -1.02536 | -1.33180 | -1.35524 | 27.579 |
| 188 | MMRSouth-eastern Asia | -1.2128 | -0.8667 | -1.5453 | -0.74459 | -1.15772 | -0.62374 | 27.519 |
| 189 | COGMiddle Africa | -1.2145 | -1.1904 | -0.6050 | -1.35200 | -1.24000 | -1.36822 | 27.485 |
| 190 | COMEastern Africa | -1.2798 | -1.1111 | -0.4607 | -1.29277 | -1.05729 | -1.32168 | 26.148 |
| 191 | TCDMiddle Africa | -1.2867 | -1.3272 | -1.4769 | -1.13022 | -1.32940 | -1.48209 | 26.007 |
| 192 | IRQWestern Asia | -1.2983 | -0.8683 | -2.1899 | -1.27425 | -1.54530 | -1.37093 | 25.770 |
| 193 | LBRWestern Africa | -1.3399 | -0.1123 | -0.2258 | -0.96545 | -0.85977 | -0.89734 | 24.918 |
| 194 | GNBWestern Africa | -1.3659 | -0.4213 | -0.2798 | -1.32136 | -1.13472 | -1.29735 | 24.387 |
| 195 | PRKEastern Asia | -1.3735 | -2.0602 | -0.2542 | -1.99671 | -1.65712 | -1.57306 | 24.231 |
| 196 | ERIEastern Africa | -1.4667 | -2.2199 | -1.0861 | -2.00352 | -1.61940 | -1.36037 | 22.323 |
| 197 | SDNNorthern Africa | -1.4834 | -1.5332 | -1.4072 | -1.54234 | -1.30060 | -1.41019 | 21.982 |
| 198 | VENSouth America | -1.5609 | -1.6628 | -1.4603 | -2.10391 | -2.32723 | -1.58034 | 20.395 |
| 199 | SYRWestern Asia | -1.5752 | -1.9427 | -2.3810 | -1.66726 | -1.83882 | -1.68995 | 20.102 |
| 200 | CAFMiddle Africa | -1.6827 | -1.1380 | -2.3354 | -1.36562 | -1.57557 | -1.25075 | 17.901 |
| 201 | LBYNorthern Africa | -1.7148 | -1.1887 | -2.2327 | -2.02588 | -1.63803 | -1.51746 | 17.244 |
| 202 | AFGSouthern Asia | -1.7151 | -0.9903 | -2.5982 | -1.33995 | -1.68209 | -1.39530 | 17.239 |
| 203 | CODMiddle Africa | -1.7369 | -1.1718 | -1.8306 | -1.39223 | -1.63451 | -1.45735 | 16.793 |
| 204 | HTICaribbean | -1.8183 | -0.8577 | -1.0317 | -1.23210 | -1.17303 | -1.44481 | 15.126 |
| 205 | YEMWestern Asia | -1.9811 | -1.6799 | -2.6672 | -1.51014 | -1.83614 | -1.59796 | 11.793 |
| 206 | SOMEastern Africa | -2.0295 | -1.6843 | -2.3577 | -1.88633 | -2.19059 | -1.55080 | 10.803 |
| 207 | SSDEastern Africa | -2.2230 | -1.8365 | -2.1447 | -1.99572 | -1.92126 | -1.80334 | 6.843 |
02In 2020
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Finland2.0581
- 2
Singapore2.0500
- 3
Netherlands1.9944
- 4
Norway1.9463
- 5
Denmark1.9343
Lowest
- 207
South Sudan-2.2230
- 206
Somalia-2.0295
- 205
Yemen-1.9811
- 204
Haiti-1.8183
- 203
DR Congo-1.7369
A higher value is the better result. The middle country reads -0.0171. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Norway1.8432
Lowest
Eritrea-2.2199
Middle country: 0.1175
Political Stability and Absence of Violence
Highest
Greenland1.7612
Lowest
Yemen-2.6672
Middle country: 0.0407
Regulatory Quality
Highest
Singapore2.09986
Lowest
Venezuela-2.10391
Middle country: -0.08239
Rule of Law
Highest
Finland2.08968
Lowest
Venezuela-2.32723
Middle country: -0.16144
Control of Corruption
Highest
Denmark2.32632
Lowest
South Sudan-1.80334
Middle country: -0.11465
Governance Score, Government Effectiveness (0–100)
Highest
Finland94.470
Lowest
South Sudan6.843
Middle country: 51.994
032019 → 2020
Since 2019
What changed between 2019 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 41 · 166rose · fell
- 0unchanged
Rose most
El Salvador-0.2436 → -0.0667+0.1769
Micronesia-0.0345 → 0.1057+0.1402
Marshall Islands-0.3695 → -0.2509+0.1186
Taiwan1.4993 → 1.6015+0.1021
Syria-1.6749 → -1.5752+0.0997
Fell most
Israel1.5737 → 1.1512−0.4225
United Arab Emirates1.2098 → 0.8423−0.3675
Antigua and Barbuda-0.2814 → -0.6380−0.3566
United States Virgin Islands0.7570 → 0.4003−0.3566
Fiji0.8590 → 0.5509−0.3081
Changes in value, not in places: a country’s place also moves when others do. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
201 distinct values among 207
Values are stored exactly as published, to 18 decimals. 4 countries share 0.7465. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
3 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
207 rows · 23 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download government-effectiveness-2020-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
WB_WGI_WIDEF.csv
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 4.0 · what it allows, in plain words
Cite this edition
World Bank Group (2020). Government Effectiveness, 2020 [data set], describing 2020. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2020
0627 held
Other years
‹ The year before
Government Effectiveness, 2019207 countries
The year after ›
Government Effectiveness, 2021207 countries
All of them
Government Effectiveness: every year27 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Government Effectiveness, 2020: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2020?
Finland, at 2.0581, of the 207 countries in the file.
What year does Government Effectiveness, 2020 describe?
2020.
How many countries does Government Effectiveness, 2020 cover?
207.
Where can I download Government Effectiveness, 2020?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Government Effectiveness, 2020 the newest?
No. The newest held here is Government Effectiveness, 2025.