Data for 2022
Government Effectiveness, 2022
Figures for 2022, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2022 covers 209 countries on 7 measures. Singapore is highest, at 2.08290; South Sudan is lowest, at -2.28516. The middle country reads -0.03048. Against 2021, 207 values changed (93 up, 114 down), 2 countries joined.
Government Effectiveness · Data for 2022
HighestSingapore
2.08290LowestSouth Sudan
-2.28516Shaded 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, 2022, 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 209 countries · select a heading to sort
| derived | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | SGPSouth-eastern Asia | 2.08290 | -0.08851 | 1.159962 | 2.0395 | 1.465436 | 2.03560 | 94.9776 |
| 2 | DNKNorthern Europe | 2.05803 | 1.80190 | 0.832055 | 1.9887 | 1.982194 | 2.30241 | 94.4686 |
| 3 | JPNEastern Asia | 2.05236 | 1.06857 | 1.264578 | 1.4117 | 1.510991 | 1.44264 | 94.3524 |
| 4 | CHEWestern Europe | 2.01155 | 1.57895 | 1.025561 | 1.7291 | 1.759708 | 2.09590 | 93.5170 |
| 5 | LUXWestern Europe | 1.92328 | 1.63583 | 1.031528 | 1.8559 | 1.765158 | 1.97075 | 91.7102 |
| 6 | FINNorthern Europe | 1.90787 | 1.78454 | 1.098278 | 1.8872 | 1.978466 | 2.19376 | 91.3950 |
| 7 | SWENorthern Europe | 1.89294 | 1.68014 | 0.941672 | 1.6031 | 1.751283 | 2.03287 | 91.0893 |
| 8 | NORNorthern Europe | 1.81835 | 1.83527 | 0.910751 | 1.5676 | 1.927458 | 2.03557 | 89.5626 |
| 9 | NLDWestern Europe | 1.80283 | 1.65600 | 0.642807 | 1.6887 | 1.730178 | 1.92473 | 89.2450 |
| 10 | CANNorthern America | 1.75893 | 1.43570 | 0.508881 | 1.6182 | 1.534580 | 1.65281 | 88.3464 |
| 11 | MCOWestern Europe | 1.71704 | 0.98765 | 1.375879 | 1.3307 | 1.362220 | 1.17456 | 87.4889 |
| 12 | DEUWestern Europe | 1.71261 | 1.53557 | 0.562526 | 1.5342 | 1.576423 | 1.82075 | 87.3981 |
| 13 | NZLAustralia and New Zealand | 1.70893 | 1.68226 | 1.241445 | 1.8785 | 1.745711 | 2.08288 | 87.3229 |
| 14 | AUSAustralia and New Zealand | 1.70575 | 1.40672 | 0.902168 | 1.8354 | 1.486243 | 1.73031 | 87.2579 |
| 15 | IRLNorthern Europe | 1.66452 | 1.58064 | 0.812733 | 1.7408 | 1.493950 | 1.65591 | 86.4140 |
| 16 | AUTWestern Europe | 1.64310 | 1.46987 | 0.652086 | 1.3886 | 1.663100 | 1.38391 | 85.9755 |
| 17 | ISLNorthern Europe | 1.60268 | 1.36021 | 1.256346 | 1.4271 | 1.599435 | 1.64758 | 85.1482 |
| 18 | TWNEastern Asia | 1.54767 | 1.05236 | 1.013973 | 1.2584 | 1.242504 | 1.19225 | 84.0222 |
| 19 | LIEWestern Europe | 1.47395 | 1.35272 | 1.595126 | 1.5494 | 1.746643 | 1.75229 | 82.5132 |
| 20 | KOREastern Asia | 1.46951 | 0.91284 | 0.836360 | 1.0498 | 1.188863 | 0.82254 | 82.4224 |
| 21 | ISRWestern Asia | 1.43302 | 0.61049 | -0.904921 | 1.1375 | 0.775212 | 0.88514 | 81.6756 |
| 22 | FRAWestern Europe | 1.39244 | 1.18447 | 0.024904 | 1.2567 | 1.032564 | 1.37669 | 80.8448 |
| 23 | BELWestern Europe | 1.38955 | 1.47068 | 0.233038 | 1.3961 | 1.343866 | 1.58603 | 80.7857 |
| 24 | USANorthern America | 1.38714 | 0.93318 | -0.153311 | 1.4618 | 1.094334 | 1.20174 | 80.7364 |
| 25 | ESTNorthern Europe | 1.35007 | 1.35354 | 0.870410 | 1.5413 | 1.500799 | 1.60916 | 79.9775 |
| 26 | HKGEastern Asia | 1.34418 | -0.34067 | 0.401760 | 1.6975 | 0.894271 | 1.52795 | 79.8571 |
| 27 | GBRNorthern Europe | 1.27343 | 1.29738 | 0.376129 | 1.6605 | 1.297733 | 1.63656 | 78.4090 |
| 28 | BMUNorthern America | 1.20481 | — | 0.964450 | 0.8551 | 0.812440 | 1.17456 | 77.0044 |
| 29 | SVNSouthern Europe | 1.19059 | 1.01360 | 0.774919 | 0.7721 | 0.938938 | 0.76333 | 76.7132 |
| 30 | CZEEastern Europe | 1.14466 | 1.10065 | 0.994285 | 1.3278 | 1.121352 | 0.81586 | 75.7732 |
| 31 | ESPSouthern Europe | 1.14102 | 1.12532 | 0.146406 | 0.8629 | 0.968983 | 0.79577 | 75.6987 |
| =32 | ANDSouthern Europe | 1.11666 | 0.93439 | 1.558903 | 1.0929 | 1.422006 | 1.17456 | 75.2000 |
| =32 | SMRSouthern Europe | 1.11666 | 1.24714 | 1.375879 | 0.8551 | 1.236522 | 1.17456 | 75.2000 |
| 34 | AIACaribbean | 1.09374 | — | 1.407094 | 0.8551 | 0.416513 | 1.17456 | 74.7310 |
| 35 | CYMCaribbean | 1.05823 | 0.81212 | 1.485192 | 1.0814 | 0.834490 | 0.60223 | 74.0040 |
| 36 | QATWestern Asia | 1.05175 | -1.10035 | 0.907516 | 0.8246 | 0.606977 | 0.81919 | 73.8715 |
| 37 | PRTSouthern Europe | 1.02953 | 1.31574 | 0.881874 | 0.8548 | 1.132583 | 0.79228 | 73.4166 |
| 38 | BRNSouth-eastern Asia | 0.99026 | -0.96126 | 1.146031 | 0.9761 | 0.641134 | 1.08976 | 72.6128 |
| 39 | AREWestern Asia | 0.97656 | -1.04065 | 0.875419 | 1.0099 | 0.423966 | 1.02153 | 72.3325 |
| 40 | MACEastern Asia | 0.97017 | -0.41477 | 0.962450 | 1.4360 | 0.784013 | 0.57157 | 72.2016 |
| 41 | URYSouth America | 0.96688 | 1.18462 | 1.297487 | 0.6681 | 0.973984 | 1.61232 | 72.1342 |
| 42 | LTUNorthern Europe | 0.95454 | 1.16097 | 0.953060 | 1.1954 | 1.223143 | 0.86285 | 71.8816 |
| 43 | MLTSouthern Europe | 0.95183 | 1.06748 | 0.928323 | 0.6214 | 0.877849 | 0.46639 | 71.8262 |
| 44 | GUMMicronesia | 0.94870 | 1.07415 | 0.993440 | 0.3795 | 1.185687 | 1.17456 | 71.7622 |
| 45 | CHLSouth America | 0.92893 | 1.01913 | 0.005925 | 0.8891 | 0.758736 | 1.14683 | 71.3574 |
| 46 | ABWCaribbean | 0.90073 | 1.11884 | 1.345237 | 0.9767 | 1.227474 | 0.86675 | 70.7804 |
| 47 | CYPWestern Asia | 0.84888 | 0.92090 | 0.377500 | 0.7600 | 0.751104 | 0.57118 | 69.7191 |
| 48 | MUSEastern Africa | 0.83875 | 0.41568 | 0.844888 | 0.9221 | 0.720376 | 0.39596 | 69.5117 |
| 49 | MYSSouth-eastern Asia | 0.81741 | -0.13066 | 0.219851 | 0.6794 | 0.328336 | 0.37070 | 69.0749 |
| 50 | ITASouthern Europe | 0.79615 | 1.08658 | 0.418722 | 0.6395 | 0.558842 | 0.58882 | 68.6396 |
| 51 | LVANorthern Europe | 0.76685 | 1.04896 | 0.781304 | 1.0016 | 1.024778 | 0.83393 | 68.0400 |
| 52 | ASMPolynesia | 0.74764 | 1.04600 | 1.259063 | 0.3795 | 1.207166 | 1.17456 | 67.6467 |
| 53 | SVKEastern Europe | 0.74754 | 0.98420 | 0.529231 | 0.7824 | 0.589329 | 0.37887 | 67.6447 |
| 54 | KNACaribbean | 0.69259 | 0.55553 | 0.916611 | 0.5193 | 0.550323 | 0.31495 | 66.5199 |
| 55 | HRVSouthern Europe | 0.68054 | 0.69755 | 0.731575 | 0.3258 | 0.449773 | 0.10976 | 66.2733 |
| 56 | GRLNorthern America | 0.65128 | 1.42556 | 1.249040 | 1.3731 | 1.589159 | 1.02093 | 65.6745 |
| 57 | HUNEastern Europe | 0.64892 | 0.09468 | 0.668688 | 0.3472 | 0.303986 | 0.05780 | 65.6261 |
| 58 | BHSCaribbean | 0.64587 | 0.68261 | 0.867671 | -0.1247 | 0.252109 | 1.23067 | 65.5636 |
| 59 | GRCSouthern Europe | 0.64332 | 0.88974 | 0.234452 | 0.4488 | 0.480312 | 0.33313 | 65.5114 |
| 60 | BRBCaribbean | 0.57183 | 1.06986 | 1.207896 | 0.4159 | 0.696873 | 1.19261 | 64.0481 |
| 61 | BTNSouthern Asia | 0.55598 | 0.11383 | 1.328175 | -0.1146 | 0.697643 | 1.35232 | 63.7238 |
| 62 | POLEastern Europe | 0.55311 | 0.40085 | 0.527868 | 0.7422 | 0.368079 | 0.67747 | 63.6650 |
| 63 | VCTCaribbean | 0.53812 | 0.68967 | 1.035973 | 0.0976 | 0.623060 | 0.72488 | 63.3582 |
| 64 | BWASouthern Africa | 0.45822 | 0.23145 | 1.065215 | 0.4802 | 0.349369 | 0.64891 | 61.7228 |
| 65 | FJIMelanesia | 0.45270 | -0.04663 | 0.795259 | -0.0900 | 0.295143 | 0.45600 | 61.6097 |
| 66 | INDSouthern Asia | 0.43902 | -0.06056 | -0.765610 | -0.0924 | -0.061955 | -0.32669 | 61.3298 |
| 67 | CHNEastern Asia | 0.43365 | -1.71295 | -0.254353 | -0.1056 | -0.532915 | 0.03904 | 61.2198 |
| 68 | SAUWestern Asia | 0.43238 | -1.69896 | -0.325557 | 0.4841 | 0.092125 | 0.30134 | 61.1939 |
| 69 | BHRWestern Asia | 0.42495 | -1.47395 | -0.499127 | 0.8294 | 0.033095 | 0.13583 | 61.0418 |
| 70 | SYCEastern Africa | 0.42489 | 0.66069 | 0.830257 | 0.3487 | 0.565204 | 1.16987 | 61.0405 |
| 71 | CPVWestern Africa | 0.36992 | 0.84203 | 0.819269 | 0.0920 | 0.492865 | 0.85015 | 59.9155 |
| 72 | IDNSouth-eastern Asia | 0.36003 | 0.05866 | -0.760552 | 0.2467 | -0.148089 | -0.37502 | 59.7130 |
| 73 | VIRCaribbean | 0.34832 | — | 0.964450 | 1.0929 | 0.574756 | -0.07422 | 59.4733 |
| 74 | GEOWestern Asia | 0.33025 | 0.01712 | -0.101538 | 0.8037 | 0.174364 | 0.65160 | 59.1034 |
| 75 | TTOCaribbean | 0.29058 | 0.54675 | 0.336505 | -0.0578 | -0.245623 | -0.29716 | 58.2914 |
| 76 | OMNWestern Asia | 0.26591 | -1.05418 | 0.431105 | 0.5024 | 0.360824 | 0.01440 | 57.7864 |
| 77 | ROUEastern Europe | 0.26534 | 0.57394 | 0.545038 | 0.4292 | 0.428677 | 0.07365 | 57.7749 |
| 78 | RWAEastern Africa | 0.26500 | -0.71002 | 0.011089 | 0.1288 | -0.014860 | 0.52730 | 57.7678 |
| 79 | KWTWestern Asia | 0.25294 | -0.64887 | 0.099100 | 0.2451 | 0.230680 | 0.07208 | 57.5209 |
| 80 | CRICentral America | 0.21683 | 1.11926 | 1.151292 | 0.6300 | 0.641129 | 0.56767 | 56.7820 |
| 81 | THASouth-eastern Asia | 0.20966 | -0.74711 | -0.588298 | 0.1456 | -0.242338 | -0.40693 | 56.6350 |
| 82 | JAMCaribbean | 0.20176 | 0.56738 | 0.437060 | 0.2147 | -0.069185 | -0.08214 | 56.4735 |
| 83 | LCACaribbean | 0.20087 | 0.63283 | 1.035973 | 0.1951 | 0.554306 | 0.37407 | 56.4552 |
| 84 | PANCentral America | 0.19287 | 0.51126 | 0.421352 | 0.0861 | -0.205377 | -0.56348 | 56.2915 |
| 85 | ALBSouthern Europe | 0.19228 | 0.10822 | 0.010600 | 0.0598 | -0.129498 | -0.50551 | 56.2794 |
| 86 | WSMPolynesia | 0.19217 | 1.14446 | 1.246401 | -0.2087 | 1.077883 | 0.76550 | 56.2772 |
| 87 | SRBSouthern Europe | 0.19120 | -0.21863 | -0.062351 | 0.1474 | -0.127244 | -0.48845 | 56.2573 |
| 88 | SENWestern Africa | 0.17182 | 0.07720 | -0.224383 | -0.2849 | -0.138652 | 0.01667 | 55.8606 |
| 89 | MNESouthern Europe | 0.15033 | 0.29542 | 0.014023 | 0.3156 | -0.033573 | -0.01479 | 55.4207 |
| 90 | NAMSouthern Africa | 0.11949 | 0.44444 | 0.368217 | 0.0967 | 0.330743 | 0.32256 | 54.7895 |
| 91 | ARGSouth America | 0.11929 | 0.54183 | 0.052813 | -0.5187 | -0.294815 | -0.33927 | 54.7854 |
| 92 | KAZCentral Asia | 0.09434 | -0.97480 | -0.606154 | -0.0627 | -0.442422 | -0.19757 | 54.2748 |
| 93 | ZAFSouthern Africa | 0.07554 | 0.60830 | -0.676764 | -0.0247 | 0.034019 | -0.14936 | 53.8899 |
| 94 | MKDSouthern Europe | 0.06567 | 0.13760 | 0.325351 | 0.3066 | -0.163629 | -0.33603 | 53.6879 |
| 95 | BGREastern Europe | 0.03095 | 0.31503 | 0.301601 | 0.3065 | -0.094402 | -0.13171 | 52.9771 |
| 96 | COKPolynesia | 0.02221 | 0.84068 | 1.174939 | -0.1983 | 0.836037 | 0.11791 | 52.7983 |
| 97 | COLSouth America | 0.01856 | 0.11825 | -0.818458 | 0.2482 | -0.514873 | -0.25821 | 52.7237 |
| 98 | ECUSouth America | 0.01731 | 0.02691 | -0.223573 | -0.4426 | -0.568150 | -0.65493 | 52.6980 |
| 99 | TURWestern Asia | 0.00244 | -1.10820 | -0.949667 | -0.1775 | -0.738387 | -0.43642 | 52.3936 |
| 100 | DMACaribbean | 0.00157 | 0.43373 | 1.260459 | 0.1617 | 0.630912 | 0.39940 | 52.3758 |
| 101 | PHLSouth-eastern Asia | -0.00758 | -0.21737 | -0.905361 | 0.0398 | -0.629843 | -0.57872 | 52.1887 |
| 102 | PERSouth America | -0.01484 | 0.15184 | -0.666982 | 0.1463 | -0.475494 | -0.64290 | 52.0399 |
| 103 | GHAWestern Africa | -0.01688 | 0.28258 | -0.181348 | -0.1618 | -0.021027 | -0.09401 | 51.9981 |
| 104 | GUYSouth America | -0.02860 | 0.08780 | 0.198461 | -0.6372 | -0.362955 | -0.22760 | 51.7583 |
| 105 | JORWestern Asia | -0.03048 | -0.80896 | -0.342167 | 0.1900 | 0.076867 | 0.01725 | 51.7199 |
| 106 | MARNorthern Africa | -0.04520 | -0.69102 | -0.496809 | -0.0668 | -0.424188 | -0.48117 | 51.4185 |
| 107 | DOMCaribbean | -0.05313 | 0.26993 | 0.484024 | -0.0257 | -0.246534 | -0.42392 | 51.2562 |
| 108 | GRDCaribbean | -0.05593 | 0.36220 | 1.207897 | -0.0556 | 0.507440 | 0.29214 | 51.1988 |
| =109 | NRUMicronesia | -0.07501 | 0.33393 | 0.954719 | -0.3579 | 0.366045 | 0.45156 | 50.8084 |
| =109 | PLWMicronesia | -0.07501 | 1.01549 | 1.248811 | 0.4080 | 1.174714 | 0.45156 | 50.8084 |
| 111 | ATGCaribbean | -0.07575 | 0.55150 | 1.088535 | 0.4537 | 0.633791 | 0.24056 | 50.7932 |
| 112 | MEXCentral America | -0.09363 | -0.14042 | -0.596750 | -0.0750 | -1.060214 | -0.87851 | 50.4272 |
| 113 | CUBCaribbean | -0.11458 | -1.35443 | 0.477524 | -1.2064 | -0.458400 | -0.22469 | 49.9984 |
| 114 | MDAEastern Europe | -0.11757 | 0.18222 | -0.232084 | -0.0187 | -0.198089 | -0.42266 | 49.9372 |
| 115 | VNMSouth-eastern Asia | -0.11764 | -1.25593 | 0.098421 | -0.3473 | -0.325763 | -0.24822 | 49.9357 |
| 116 | FSMMicronesia | -0.13483 | 0.79863 | 1.520753 | -0.7749 | 1.018765 | 0.29893 | 49.5840 |
| 117 | AZEWestern Asia | -0.14688 | -1.49479 | -0.550207 | -0.1060 | -0.560006 | -0.84327 | 49.3373 |
| 118 | TUNNorthern Africa | -0.16288 | -0.38709 | -0.756666 | -0.3299 | -0.222972 | -0.19112 | 49.0098 |
| 119 | EGYNorthern Africa | -0.16637 | -1.66926 | -0.954357 | -0.6362 | -0.736092 | -0.77962 | 48.9384 |
| 120 | MHLMicronesia | -0.19747 | 0.78751 | 1.322268 | -0.9171 | 0.879783 | -0.02570 | 48.3018 |
| 121 | SURSouth America | -0.19789 | 0.25099 | 0.238262 | -0.7222 | -0.222642 | -0.30796 | 48.2933 |
| 122 | BRASouth America | -0.19791 | 0.11584 | -0.415112 | -0.1677 | -0.425689 | -0.45657 | 48.2929 |
| 123 | BENWestern Africa | -0.21500 | -0.42453 | -0.424321 | -0.3073 | -0.519532 | -0.10577 | 47.9430 |
| 124 | KENEastern Africa | -0.23447 | -0.24136 | -0.989219 | -0.3963 | -0.418319 | -0.75062 | 47.5444 |
| 125 | MDVSouthern Asia | -0.24490 | -0.24595 | 0.240566 | -0.3781 | 0.139724 | -0.26243 | 47.3310 |
| 126 | TONPolynesia | -0.24507 | 0.87012 | 1.396436 | -0.3071 | 0.812940 | -0.49210 | 47.3275 |
| 127 | MNGEastern Asia | -0.25329 | 0.22028 | 0.617865 | -0.1442 | -0.150483 | -0.66208 | 47.1592 |
| 128 | BLZCentral America | -0.25343 | 0.25287 | 0.724031 | -0.6162 | -0.431962 | -0.04616 | 47.1564 |
| 129 | RUSEastern Europe | -0.25769 | -1.23705 | -0.759128 | -0.9108 | -1.073631 | -0.78123 | 47.0691 |
| 130 | XKXSouthern Europe | -0.26979 | 0.12329 | -0.047743 | -0.4573 | -0.152858 | -0.29640 | 46.8215 |
| 131 | KIRMicronesia | -0.27725 | 1.04841 | 1.253402 | -0.5540 | 0.814429 | 0.33609 | 46.6688 |
| 132 | ARMWestern Asia | -0.31584 | 0.16083 | -0.343023 | 0.1002 | -0.247350 | 0.05354 | 45.8789 |
| 133 | DZANorthern Africa | -0.33161 | -1.09493 | -0.820303 | -0.9149 | -0.811230 | -0.69154 | 45.5561 |
| 134 | UZBCentral Asia | -0.33386 | -1.17276 | -0.248526 | -0.6294 | -0.642429 | -0.61057 | 45.5101 |
| 135 | CIVWestern Africa | -0.36193 | -0.55305 | -0.727770 | -0.2131 | -0.590224 | -0.36867 | 44.9355 |
| 136 | TZAEastern Africa | -0.37394 | -0.71676 | -0.489641 | -0.6150 | -0.545988 | -0.36588 | 44.6898 |
| 137 | PRYSouth America | -0.37526 | -0.09023 | -0.069835 | -0.1473 | -0.512559 | -0.95477 | 44.6626 |
| 138 | BOLSouth America | -0.39893 | -0.21399 | -0.165107 | -1.0908 | -1.163084 | -0.98259 | 44.1782 |
| 139 | GMBWestern Africa | -0.40972 | -0.17702 | 0.128348 | -0.6700 | -0.358974 | -0.30424 | 43.9573 |
| 140 | LKASouthern Asia | -0.41562 | -0.31569 | -0.780547 | -0.4469 | -0.321921 | -0.35384 | 43.8366 |
| 141 | TUVPolynesia | -0.42145 | 1.04898 | 1.494642 | -0.5709 | 1.053451 | 0.24234 | 43.7174 |
| 142 | SLVCentral America | -0.45602 | -0.48431 | -0.150436 | -0.3116 | -0.941417 | -0.68100 | 43.0097 |
| 143 | BGDSouthern Asia | -0.46859 | -0.96766 | -1.085106 | -0.8980 | -0.918245 | -1.17292 | 42.7524 |
| 144 | TLSSouth-eastern Asia | -0.49984 | 0.45081 | 0.347721 | -0.8159 | -0.668580 | -0.44396 | 42.1128 |
| 145 | KHMSouth-eastern Asia | -0.51150 | -1.48716 | -0.115745 | -0.6441 | -1.081082 | -1.11520 | 41.8740 |
| 146 | UGAEastern Africa | -0.53312 | -0.95450 | -1.107470 | -0.4728 | -0.683952 | -0.99595 | 41.4316 |
| 147 | PAKSouthern Asia | -0.59548 | -0.89242 | -1.777591 | -0.7766 | -0.899047 | -0.95414 | 40.1551 |
| 148 | ZMBEastern Africa | -0.60189 | -0.29454 | 0.046873 | -0.4522 | -0.623535 | -0.42491 | 40.0240 |
| 149 | TKMCentral Asia | -0.61275 | -2.11396 | 0.199673 | -1.7850 | -1.423203 | -1.37175 | 39.8016 |
| 150 | DJIEastern Africa | -0.62297 | -1.29552 | -0.496165 | -0.7814 | -1.029925 | -0.90849 | 39.5925 |
| 151 | PRICaribbean | -0.63017 | 0.43720 | 0.299076 | 0.7793 | 0.421659 | 0.47345 | 39.4451 |
| 152 | HNDCentral America | -0.65671 | -0.52393 | -0.501651 | -0.5415 | -1.067755 | -1.03016 | 38.9019 |
| 153 | UKREastern Europe | -0.65722 | 0.01500 | -1.053484 | -0.3731 | -0.786935 | -0.68894 | 38.8915 |
| 154 | SWZSouthern Africa | -0.67003 | -1.38710 | -0.408512 | -0.5820 | -0.731619 | -0.63634 | 38.6291 |
| 155 | GABMiddle Africa | -0.67168 | -1.02037 | -0.154613 | -0.7667 | -1.043974 | -1.00083 | 38.5954 |
| 156 | STPMiddle Africa | -0.67318 | 0.25332 | 0.492326 | -0.8371 | -0.301214 | 0.12114 | 38.5648 |
| 157 | LSOSouthern Africa | -0.67864 | 0.04751 | -0.119565 | -0.5406 | -0.495630 | -0.15424 | 38.4530 |
| 158 | BIHSouthern Europe | -0.68113 | -0.39178 | -0.247493 | -0.3245 | -0.293509 | -0.68276 | 38.4020 |
| 159 | MWIEastern Africa | -0.69286 | -0.00167 | -0.167419 | -0.6617 | -0.221479 | -0.66173 | 38.1619 |
| 160 | ETHEastern Africa | -0.69484 | -1.09479 | -1.855890 | -0.7963 | -0.878272 | -0.40577 | 38.1215 |
| 161 | NERWestern Africa | -0.69930 | -0.52246 | -1.292590 | -0.6928 | -0.658859 | -0.56792 | 38.0300 |
| 162 | BLREastern Europe | -0.71074 | -1.69257 | -0.652566 | -1.1133 | -1.199988 | -0.41778 | 37.7960 |
| 163 | IRNSouthern Asia | -0.72776 | -1.58743 | -1.146405 | -1.4041 | -1.127969 | -1.13188 | 37.4475 |
| 164 | LAOSouth-eastern Asia | -0.75500 | -1.60604 | 0.661648 | -0.8191 | -0.835429 | -0.99870 | 36.8900 |
| 165 | AGOMiddle Africa | -0.77879 | -0.97017 | -0.522218 | -0.8408 | -1.156708 | -0.62513 | 36.4030 |
| 166 | GTMCentral America | -0.78453 | -0.43131 | -0.310040 | -0.3267 | -1.052879 | -1.21684 | 36.2855 |
| 167 | MOZEastern Africa | -0.80152 | -0.65876 | -1.334560 | -0.7488 | -1.066375 | -0.88715 | 35.9379 |
| 168 | VUTMelanesia | -0.81133 | 0.56579 | 0.975434 | -0.4130 | 0.498011 | -0.13316 | 35.7370 |
| 169 | CMRMiddle Africa | -0.81456 | -1.24494 | -1.699868 | -0.7883 | -1.205245 | -1.11061 | 35.6708 |
| 170 | BFAWestern Africa | -0.83236 | -0.54892 | -1.824178 | -0.5027 | -0.654709 | -0.22846 | 35.3065 |
| 171 | NPLSouthern Asia | -0.83473 | -0.06631 | -0.420650 | -0.6267 | -0.338868 | -0.65091 | 35.2580 |
| 172 | TJKCentral Asia | -0.84946 | -1.65374 | -0.445484 | -0.8604 | -1.221901 | -1.13030 | 34.9565 |
| 173 | MRTWestern Africa | -0.86036 | -0.84222 | -0.298799 | -0.9206 | -0.840634 | -0.83839 | 34.7335 |
| 174 | MDGEastern Africa | -0.89021 | -0.42597 | -0.557859 | -0.8137 | -0.970365 | -0.99584 | 34.1225 |
| 175 | SLBMelanesia | -0.92285 | 0.26050 | 0.741098 | -1.0925 | 0.159315 | -0.17618 | 33.4544 |
| 176 | PNGMelanesia | -0.94556 | -0.04023 | -0.726556 | -0.7429 | -0.552803 | -0.58691 | 32.9896 |
| 177 | GINWestern Africa | -0.94596 | -1.06174 | -0.843288 | -0.9865 | -1.078842 | -0.98112 | 32.9812 |
| 178 | NICCentral America | -0.96009 | -1.47597 | -0.167028 | -0.9355 | -1.480726 | -1.24306 | 32.6921 |
| 179 | SLEWestern Africa | -0.96108 | -0.28212 | -0.285841 | -1.0090 | -0.786235 | -0.54859 | 32.6719 |
| 180 | TGOWestern Africa | -0.96303 | -0.84401 | -0.776833 | -0.4456 | -0.674802 | -0.63077 | 32.6320 |
| 181 | NGAWestern Africa | -0.96806 | -0.68896 | -1.944621 | -0.9939 | -1.016070 | -1.21976 | 32.5290 |
| 182 | PSEWestern Asia | -0.97708 | -0.90288 | -1.550494 | -0.0914 | -0.833770 | -0.57259 | 32.3445 |
| 183 | ZWEEastern Africa | -1.06400 | -1.20055 | -0.815070 | -1.3231 | -1.312396 | -1.19430 | 30.5653 |
| 184 | LBNWestern Asia | -1.06698 | -0.65095 | -1.361869 | -0.9053 | -1.053856 | -1.21918 | 30.5043 |
| 185 | KGZCentral Asia | -1.06886 | -0.59205 | -0.448273 | -0.4732 | -0.958527 | -1.20582 | 30.4659 |
| 186 | COGMiddle Africa | -1.17524 | -1.25884 | -0.167498 | -1.2665 | -1.187826 | -1.36083 | 28.2884 |
| 187 | TCDMiddle Africa | -1.18944 | -1.48991 | -1.658718 | -1.0264 | -1.387847 | -1.46748 | 27.9976 |
| 188 | GNQMiddle Africa | -1.26129 | -1.79740 | -0.377459 | -1.3201 | -1.465710 | -1.52120 | 26.5269 |
| 189 | MLIWestern Africa | -1.26941 | -0.91017 | -2.462095 | -0.7118 | -1.013352 | -0.85172 | 26.3609 |
| 190 | LBRWestern Africa | -1.27151 | -0.08973 | -0.306028 | -0.9553 | -0.873981 | -1.04714 | 26.3178 |
| 191 | COMEastern Africa | -1.29300 | -1.18702 | -0.374095 | -1.2676 | -1.167551 | -1.33725 | 25.8779 |
| 192 | BDIEastern Africa | -1.29627 | -1.47184 | -1.295071 | -0.9260 | -1.339847 | -1.32558 | 25.8110 |
| 193 | IRQWestern Asia | -1.36340 | -0.87051 | -2.279559 | -1.2896 | -1.506427 | -1.49642 | 24.4370 |
| 194 | PRKEastern Asia | -1.37978 | -2.05165 | 0.226483 | -1.9986 | -1.460128 | -1.65183 | 24.1017 |
| 195 | NIUPolynesia | -1.38164 | 1.21170 | 1.395340 | -0.8805 | 1.043462 | -0.47864 | 24.0637 |
| 196 | ERIEastern Africa | -1.40067 | -2.21956 | -1.085445 | -2.0353 | -1.758608 | -1.36424 | 23.6741 |
| 197 | VENSouth America | -1.54642 | -1.69298 | -1.158355 | -1.8754 | -2.225329 | -1.60633 | 20.6908 |
| 198 | GNBWestern Africa | -1.58857 | -0.52012 | -0.345427 | -1.3442 | -1.245802 | -1.15936 | 19.8281 |
| 199 | SDNNorthern Africa | -1.61279 | -1.65999 | -1.934220 | -1.5905 | -1.413335 | -1.45016 | 19.3323 |
| 200 | LBYNorthern Africa | -1.65156 | -1.34524 | -2.000497 | -1.9485 | -1.756588 | -1.53703 | 18.5388 |
| 201 | CAFMiddle Africa | -1.65719 | -1.18867 | -1.893893 | -1.3682 | -1.697074 | -1.31575 | 18.4236 |
| 202 | SYRWestern Asia | -1.69335 | -1.93919 | -2.446128 | -1.8987 | -1.873488 | -1.79365 | 17.6835 |
| 203 | MMRSouth-eastern Asia | -1.70711 | -1.90398 | -2.231998 | -1.2664 | -1.641267 | -1.13330 | 17.4017 |
| 204 | CODMiddle Africa | -1.78199 | -1.17667 | -1.858133 | -1.3330 | -1.613775 | -1.50996 | 15.8691 |
| 205 | YEMWestern Asia | -1.81585 | -1.70366 | -2.608079 | -1.4816 | -1.933839 | -1.66512 | 15.1760 |
| 206 | HTICaribbean | -1.98750 | -1.22888 | -0.925852 | -1.3452 | -1.550677 | -1.50616 | 11.6625 |
| 207 | AFGSouthern Asia | -1.98969 | -1.88993 | -2.460827 | -1.4190 | -1.864267 | -1.16689 | 11.6177 |
| 208 | SOMEastern Africa | -2.02410 | -1.53710 | -2.096507 | -1.8101 | -2.226964 | -1.60083 | 10.9134 |
| 209 | SSDEastern Africa | -2.28516 | -1.87222 | -1.642300 | -1.9779 | -1.949709 | -1.85732 | 5.5699 |
02In 2022
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Singapore2.08290
- 2
Denmark2.05803
- 3
Japan2.05236
- 4
Switzerland2.01155
- 5
Luxembourg1.92328
Lowest
- 209
South Sudan-2.28516
- 208
Somalia-2.02410
- 207
Afghanistan-1.98969
- 206
Haiti-1.98750
- 205
Yemen-1.81585
A higher value is the better result. The middle country reads -0.03048. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Norway1.83527
Lowest
Eritrea-2.21956
Middle country: 0.03721
Political Stability and Absence of Violence
Highest
Liechtenstein1.595126
Lowest
Yemen-2.608079
Middle country: 0.098421
Regulatory Quality
Highest
Singapore2.0395
Lowest
Eritrea-2.0353
Middle country: -0.1056
Rule of Law
Highest
Denmark1.982194
Lowest
Somalia-2.226964
Middle country: -0.138652
Control of Corruption
Highest
Denmark2.30241
Lowest
South Sudan-1.85732
Middle country: -0.17618
Governance Score, Government Effectiveness (0–100)
Highest
Singapore94.9776
Lowest
South Sudan5.5699
Middle country: 51.7199
032021 → 2022
Since 2021
What changed between 2021 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 207values changed, of 207 in both
- 93 · 114rose · fell
- 0unchanged
Rose most
Antigua and Barbuda-0.63664 → -0.07575+0.56089
Turkmenistan-1.10958 → -0.61275+0.49683
Dominica-0.38372 → 0.00157+0.38529
Anguilla0.74779 → 1.09374+0.34595
Saint Lucia-0.13386 → 0.20087+0.33473
Fell most
Andorra1.78612 → 1.11666−0.66946
Maldives0.13565 → -0.24490−0.38055
San Marino1.44001 → 1.11666−0.32335
Samoa0.51319 → 0.19217−0.32102
Tonga0.05570 → -0.24507−0.30078
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.
207 distinct values among 209
Values are stored exactly as published, to 18 decimals. 2 countries share 1.11666. 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
209 rows · 24 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download government-effectiveness-2022-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 (2022). Government Effectiveness, 2022 [data set], describing 2022. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2022
0627 held
Other years
‹ The year before
Government Effectiveness, 2021207 countries
The year after ›
Government Effectiveness, 2023209 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, 2022: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2022?
Singapore, at 2.08290, of the 209 countries in the file.
What year does Government Effectiveness, 2022 describe?
2022.
How many countries does Government Effectiveness, 2022 cover?
209.
Where can I download Government Effectiveness, 2022?
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, 2022 the newest?
No. The newest held here is Government Effectiveness, 2025.