Data for 2023
Government Effectiveness, 2023
Figures for 2023, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2023 covers 209 countries on 7 measures. Luxembourg is highest, at 2.12331; South Sudan is lowest, at -2.27275. The middle country reads -0.04083. Against 2022, 209 values changed (125 up, 84 down), the same countries are covered.
Government Effectiveness · Data for 2023
HighestLuxembourg
2.12331LowestSouth Sudan
-2.27275Shaded 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, 2023, 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 | LUXWestern Europe | 2.12331 | 1.61219 | 1.03583 | 1.74967 | 1.73349 | 1.9741 | 95.805 |
| 2 | SGPSouth-eastern Asia | 2.09703 | -0.16057 | 1.21242 | 2.13494 | 1.45247 | 1.9204 | 95.267 |
| 3 | CHEWestern Europe | 2.06106 | 1.52682 | 1.01453 | 1.68967 | 1.76487 | 2.1033 | 94.530 |
| 4 | JPNEastern Asia | 2.02758 | 1.07626 | 1.28355 | 1.34943 | 1.51188 | 1.3674 | 93.845 |
| 5 | DNKNorthern Europe | 1.95707 | 1.81186 | 0.91588 | 1.86600 | 1.98699 | 2.2911 | 92.402 |
| 6 | FINNorthern Europe | 1.86313 | 1.72814 | 0.78506 | 1.79190 | 2.01350 | 2.2026 | 90.479 |
| 7 | NORNorthern Europe | 1.78536 | 1.82535 | 0.94395 | 1.60810 | 1.96895 | 2.0768 | 88.887 |
| 8 | NLDWestern Europe | 1.77093 | 1.64842 | 0.64254 | 1.60248 | 1.73427 | 1.9347 | 88.592 |
| 9 | NZLAustralia and New Zealand | 1.76666 | 1.65395 | 1.30877 | 1.87581 | 1.74646 | 2.0240 | 88.505 |
| 10 | AUSAustralia and New Zealand | 1.73463 | 1.43249 | 0.89642 | 1.83596 | 1.49920 | 1.8112 | 87.849 |
| 11 | MCOWestern Europe | 1.71716 | 0.94184 | 1.37666 | 1.33141 | 1.35854 | 1.1760 | 87.491 |
| 12 | SWENorthern Europe | 1.71572 | 1.66392 | 0.80254 | 1.64587 | 1.71954 | 1.9886 | 87.462 |
| 13 | CANNorthern America | 1.68446 | 1.47612 | 0.63765 | 1.58533 | 1.46676 | 1.6305 | 86.822 |
| 14 | LIEWestern Europe | 1.63152 | 1.33289 | 1.59574 | 1.54962 | 1.74504 | 1.7529 | 85.738 |
| 15 | IRLNorthern Europe | 1.62763 | 1.60442 | 0.90266 | 1.71601 | 1.57701 | 1.6621 | 85.659 |
| 16 | AUTWestern Europe | 1.61156 | 1.44951 | 0.72808 | 1.27205 | 1.63139 | 1.3610 | 85.330 |
| 17 | ISLNorthern Europe | 1.58703 | 1.34368 | 1.20105 | 1.33605 | 1.56603 | 1.6780 | 84.828 |
| 18 | DEUWestern Europe | 1.57338 | 1.55423 | 0.53435 | 1.37238 | 1.58630 | 1.7099 | 84.548 |
| 19 | TWNEastern Asia | 1.57135 | 1.05303 | 1.05821 | 1.25560 | 1.22143 | 1.2038 | 84.507 |
| 20 | KOREastern Asia | 1.48522 | 0.86051 | 0.92351 | 0.95287 | 1.17638 | 0.9035 | 82.744 |
| 21 | BMUNorthern America | 1.46105 | — | 0.96539 | 0.61803 | 0.80773 | 1.1760 | 82.249 |
| 22 | FRAWestern Europe | 1.37209 | 1.18694 | 0.00230 | 1.12998 | 0.99766 | 1.2803 | 80.428 |
| 23 | HKGEastern Asia | 1.31685 | -0.43675 | 0.47255 | 1.68525 | 0.90195 | 1.5678 | 79.298 |
| 24 | ESTNorthern Europe | 1.29747 | 1.35281 | 0.85133 | 1.40412 | 1.44352 | 1.7132 | 78.901 |
| 25 | USANorthern America | 1.29112 | 0.89758 | -0.14538 | 1.41617 | 1.02096 | 1.1902 | 78.771 |
| 26 | BELWestern Europe | 1.28134 | 1.46273 | 0.21510 | 1.25694 | 1.27328 | 1.5015 | 78.571 |
| 27 | ISRWestern Asia | 1.25775 | 0.52565 | -1.04626 | 1.05356 | 0.63040 | 0.8698 | 78.088 |
| 28 | CZEEastern Europe | 1.21796 | 1.14297 | 1.07198 | 1.13969 | 1.10294 | 0.8745 | 77.273 |
| 29 | SVNSouthern Europe | 1.13766 | 1.04220 | 0.85194 | 0.71798 | 0.93631 | 0.7478 | 75.630 |
| 30 | AREWestern Asia | 1.13704 | -1.11172 | 0.78850 | 1.06935 | 0.48022 | 0.9865 | 75.617 |
| 31 | ESPSouthern Europe | 1.12602 | 1.10404 | 0.16444 | 0.65097 | 0.90080 | 0.7450 | 75.392 |
| 32 | GBRNorthern Europe | 1.12362 | 1.24729 | 0.39324 | 1.59854 | 1.26639 | 1.4806 | 75.343 |
| 33 | ANDSouthern Europe | 1.11678 | 0.76694 | 1.55968 | 1.09362 | 1.41833 | 1.1760 | 75.203 |
| 34 | AIACaribbean | 1.09391 | — | 1.40803 | 0.85582 | 0.64140 | 1.1760 | 74.734 |
| 35 | CYMCaribbean | 1.05830 | 0.81012 | 1.48591 | 1.08169 | 0.83272 | 0.6028 | 74.006 |
| 36 | QATWestern Asia | 1.01046 | -1.14886 | 1.01219 | 0.88542 | 0.57660 | 0.7654 | 73.026 |
| 37 | CHLSouth America | 1.00565 | 1.03559 | 0.11507 | 0.82605 | 0.66756 | 1.0570 | 72.928 |
| 38 | BRNSouth-eastern Asia | 0.99031 | -0.94678 | 1.33044 | 0.92823 | 0.63985 | 1.0902 | 72.614 |
| 39 | MACEastern Asia | 0.97026 | -0.41677 | 0.96344 | 1.43622 | 0.78204 | 0.5722 | 72.203 |
| 40 | LTUNorthern Europe | 0.96227 | 1.17235 | 0.96067 | 1.17069 | 1.31672 | 0.8741 | 72.040 |
| 41 | PRTSouthern Europe | 0.95094 | 1.34285 | 0.79384 | 0.70943 | 1.04114 | 0.7341 | 71.808 |
| 42 | GUMMicronesia | 0.94882 | 1.06954 | 0.99419 | 0.38023 | 1.04284 | 1.1760 | 71.765 |
| 43 | MUSEastern Africa | 0.92321 | 0.38873 | 0.83425 | 0.95011 | 0.72056 | 0.3524 | 71.240 |
| 44 | MLTSouthern Europe | 0.88807 | 1.08200 | 0.94467 | 0.56001 | 0.82155 | 0.4717 | 70.521 |
| 45 | URYSouth America | 0.86959 | 1.19840 | 1.18992 | 0.60703 | 0.95254 | 1.5490 | 70.143 |
| 46 | SMRSouthern Europe | 0.86067 | 1.24459 | 1.37666 | 0.85582 | 1.41833 | 1.1760 | 69.960 |
| 47 | ITASouthern Europe | 0.85784 | 1.12872 | 0.49416 | 0.69487 | 0.61083 | 0.5665 | 69.902 |
| 48 | CYPWestern Asia | 0.82277 | 0.90861 | 0.39006 | 0.77359 | 0.71384 | 0.5287 | 69.185 |
| 49 | MYSSouth-eastern Asia | 0.76657 | -0.13422 | 0.25857 | 0.60088 | 0.34894 | 0.3896 | 68.034 |
| 50 | ASMPolynesia | 0.74780 | 1.04138 | 1.26013 | 0.38023 | 1.20217 | 1.1760 | 67.650 |
| 51 | LVANorthern Europe | 0.70590 | 1.08551 | 0.84811 | 0.96802 | 1.04225 | 0.8023 | 66.792 |
| 52 | HUNEastern Europe | 0.69384 | 0.03731 | 0.58365 | 0.27135 | 0.24920 | 0.0978 | 66.545 |
| 53 | KNACaribbean | 0.69271 | 0.55777 | 0.91734 | 0.48332 | 0.54148 | 0.3580 | 66.522 |
| 54 | HRVSouthern Europe | 0.68672 | 0.74194 | 0.68748 | 0.44309 | 0.40856 | 0.1572 | 66.400 |
| 55 | GRLNorthern America | 0.65140 | 1.42357 | 1.25023 | 1.37352 | 1.58690 | 1.0219 | 65.677 |
| 56 | BHSCaribbean | 0.64593 | 0.65321 | 1.04979 | -0.14674 | 0.27023 | 1.2190 | 65.565 |
| 57 | POLEastern Europe | 0.64248 | 0.44130 | 0.50418 | 0.69450 | 0.31763 | 0.7436 | 65.494 |
| 58 | CHNEastern Asia | 0.60993 | -1.73792 | -0.18902 | -0.10675 | -0.52508 | 0.1017 | 64.828 |
| 59 | SAUWestern Asia | 0.60561 | -1.74390 | -0.26423 | 0.53009 | 0.16741 | 0.4697 | 64.740 |
| 60 | SVKEastern Europe | 0.60175 | 0.99520 | 0.57803 | 0.60061 | 0.54134 | 0.3531 | 64.661 |
| 61 | ABWCaribbean | 0.58582 | 1.11685 | 1.34595 | 0.97702 | 1.22570 | 0.8673 | 64.335 |
| 62 | BTNSouthern Asia | 0.55603 | 0.11796 | 1.33828 | -0.11445 | 0.73599 | 1.3526 | 63.725 |
| 63 | BWASouthern Africa | 0.55417 | 0.23383 | 1.00717 | 0.42836 | 0.33987 | 0.5850 | 63.687 |
| 64 | SYCEastern Africa | 0.54554 | 0.64341 | 0.93748 | 0.45350 | 0.55932 | 1.1521 | 63.510 |
| 65 | INDSouthern Asia | 0.50845 | -0.09484 | -0.82084 | -0.13034 | -0.06659 | -0.3355 | 62.751 |
| 66 | BRBCaribbean | 0.48256 | 1.06618 | 1.28068 | 0.43723 | 0.71531 | 1.2109 | 62.221 |
| 67 | GEOWestern Asia | 0.45297 | -0.06831 | -0.12017 | 0.85098 | 0.13975 | 0.6723 | 61.615 |
| 68 | FJIMelanesia | 0.45276 | 0.26162 | 0.74531 | -0.08969 | 0.33931 | 0.5326 | 61.611 |
| 69 | ATGCaribbean | 0.43660 | 0.55963 | 1.08926 | 0.61883 | 0.63118 | 0.2743 | 61.280 |
| 70 | MNESouthern Europe | 0.41191 | 0.31395 | 0.25217 | 0.26988 | 0.12932 | -0.0668 | 60.775 |
| =71 | DMACaribbean | 0.40026 | 0.42019 | 1.26119 | 0.16777 | 0.59627 | 0.4160 | 60.536 |
| =71 | LCACaribbean | 0.40026 | 0.65642 | 1.03670 | 0.20261 | 0.53527 | 0.3815 | 60.536 |
| 73 | CRICentral America | 0.39412 | 1.10619 | 1.20496 | 0.50116 | 0.60366 | 0.6865 | 60.411 |
| 74 | BHRWestern Asia | 0.39340 | -1.49032 | -0.51676 | 0.90737 | 0.11684 | 0.2390 | 60.396 |
| 75 | IDNSouth-eastern Asia | 0.39178 | 0.00155 | -0.58260 | 0.30748 | -0.10312 | -0.4472 | 60.363 |
| 76 | CPVWestern Africa | 0.38858 | 0.86382 | 0.87178 | 0.09215 | 0.48009 | 0.8603 | 60.297 |
| 77 | WSMPolynesia | 0.38589 | 1.12446 | 1.25715 | -0.18510 | 1.08565 | 0.8258 | 60.242 |
| 78 | VIRCaribbean | 0.34844 | — | 0.96539 | 1.09362 | 0.57004 | -0.0728 | 59.476 |
| 79 | GRCSouthern Europe | 0.34549 | 0.93333 | 0.39325 | 0.46731 | 0.39197 | 0.3661 | 59.415 |
| 80 | VCTCaribbean | 0.33892 | 0.67907 | 1.03670 | 0.10592 | 0.55872 | 0.7133 | 59.281 |
| 81 | RWAEastern Africa | 0.32836 | -0.70472 | 0.01929 | 0.23089 | 0.05155 | 0.6796 | 59.065 |
| 82 | TTOCaribbean | 0.29062 | 0.55973 | 0.34022 | -0.14611 | -0.32600 | -0.3133 | 58.292 |
| 83 | THASouth-eastern Asia | 0.27783 | -0.61227 | -0.50107 | 0.12335 | -0.19247 | -0.4304 | 58.030 |
| 84 | ALBSouthern Europe | 0.26420 | 0.04944 | 0.02166 | 0.10409 | -0.14780 | -0.4679 | 57.751 |
| 85 | OMNWestern Asia | 0.24589 | -1.02812 | 0.53760 | 0.48423 | 0.37568 | 0.2238 | 57.377 |
| 86 | SENWestern Africa | 0.20033 | 0.05691 | -0.16175 | -0.30474 | -0.18199 | 0.0457 | 56.444 |
| 87 | KWTWestern Asia | 0.19773 | -0.61296 | 0.28200 | 0.28030 | 0.22172 | 0.1707 | 56.391 |
| 88 | ROUEastern Europe | 0.18209 | 0.56928 | 0.50366 | 0.33066 | 0.37772 | 0.0807 | 56.071 |
| 89 | JORWestern Asia | 0.16132 | -0.78520 | -0.33181 | 0.29381 | 0.12361 | 0.1043 | 55.646 |
| 90 | JAMCaribbean | 0.15675 | 0.56397 | 0.47076 | 0.13660 | -0.09782 | -0.1256 | 55.552 |
| 91 | SRBSouthern Europe | 0.14523 | -0.29597 | 0.09250 | 0.09610 | -0.17995 | -0.4998 | 55.316 |
| 92 | PANCentral America | 0.12113 | 0.50918 | 0.36281 | 0.02702 | -0.29477 | -0.5510 | 54.823 |
| 93 | KAZCentral Asia | 0.11521 | -0.95951 | -0.24738 | 0.02837 | -0.41283 | -0.2218 | 54.702 |
| 94 | NAMSouthern Africa | 0.11150 | 0.46327 | 0.41390 | 0.10414 | 0.33487 | 0.1666 | 54.626 |
| 95 | BGREastern Europe | 0.10168 | 0.34265 | 0.31303 | 0.40395 | -0.06386 | -0.1778 | 54.425 |
| 96 | MKDSouthern Europe | 0.07644 | 0.14485 | 0.22557 | 0.27949 | -0.28131 | -0.3458 | 53.908 |
| 97 | GRDCaribbean | 0.07102 | 0.40652 | 1.20863 | 0.05546 | 0.58537 | 0.3970 | 53.797 |
| 98 | PHLSouth-eastern Asia | 0.04023 | -0.22471 | -0.71736 | 0.08805 | -0.60930 | -0.5581 | 53.167 |
| 99 | ARGSouth America | 0.03471 | 0.53279 | -0.02386 | -0.48737 | -0.27273 | -0.3360 | 53.054 |
| 100 | DOMCaribbean | 0.03466 | 0.30013 | 0.45891 | 0.04573 | -0.23923 | -0.4227 | 53.053 |
| 101 | MARNorthern Africa | 0.02400 | -0.71519 | -0.54430 | -0.04806 | -0.37533 | -0.5637 | 52.835 |
| 102 | COKPolynesia | 0.02289 | 1.11620 | 1.09055 | -0.19613 | 0.74242 | 0.1252 | 52.812 |
| 103 | GUYSouth America | 0.01039 | 0.05792 | 0.18984 | -0.67829 | -0.37493 | -0.3080 | 52.556 |
| 104 | GHAWestern Africa | 0.00949 | 0.29773 | -0.05556 | -0.15391 | -0.00411 | -0.1264 | 52.538 |
| 105 | COLSouth America | -0.04083 | 0.11881 | -0.77904 | 0.19540 | -0.57135 | -0.2953 | 51.508 |
| 106 | AZEWestern Asia | -0.05686 | -1.56688 | -0.42228 | -0.01023 | -0.52649 | -0.8953 | 51.180 |
| 107 | EGYNorthern Africa | -0.06287 | -1.63626 | -0.91490 | -0.54158 | -0.73968 | -0.8115 | 51.057 |
| =108 | NRUMicronesia | -0.07485 | 0.33212 | 1.06100 | -0.57097 | 0.36296 | 0.4529 | 50.812 |
| =108 | PLWMicronesia | -0.07485 | 1.01294 | 1.24959 | 0.40864 | 1.17113 | 0.4529 | 50.812 |
| 110 | TURWestern Asia | -0.08566 | -1.08835 | -0.89713 | -0.16663 | -0.78339 | -0.4274 | 50.590 |
| 111 | MDAEastern Europe | -0.08767 | 0.30783 | -0.26148 | -0.02570 | -0.19149 | -0.2679 | 50.549 |
| 112 | ZAFSouthern Africa | -0.10462 | 0.60639 | -0.63080 | -0.06877 | 0.06218 | -0.1842 | 50.202 |
| 113 | MEXCentral America | -0.11195 | -0.16327 | -0.62661 | -0.14716 | -1.07330 | -0.9210 | 50.052 |
| 114 | FSMMicronesia | -0.13474 | 0.79707 | 1.52140 | -0.77462 | 1.01657 | 0.2999 | 49.586 |
| 115 | CUBCaribbean | -0.14043 | -1.37173 | 0.40900 | -1.26593 | -0.52507 | -0.1633 | 49.469 |
| 116 | TONPolynesia | -0.14690 | 0.85923 | 1.24493 | -0.25945 | 0.82028 | -0.4892 | 49.337 |
| 117 | PERSouth America | -0.15145 | 0.12098 | -0.72487 | 0.19844 | -0.49116 | -0.6485 | 49.244 |
| 118 | ARMWestern Asia | -0.17182 | 0.17152 | -0.50848 | 0.14336 | -0.27011 | 0.1214 | 48.827 |
| 119 | ECUSouth America | -0.17638 | -0.01755 | -0.34158 | -0.58767 | -0.92029 | -0.7052 | 48.734 |
| 120 | VNMSouth-eastern Asia | -0.18602 | -1.28095 | 0.10095 | -0.31753 | -0.32131 | -0.3147 | 48.536 |
| 121 | KENEastern Africa | -0.19407 | -0.25807 | -0.97780 | -0.40701 | -0.43374 | -0.7463 | 48.371 |
| 122 | MHLMicronesia | -0.19738 | 0.78594 | 1.32291 | -0.91673 | 0.87759 | -0.0247 | 48.304 |
| 123 | BLZCentral America | -0.19909 | 0.25603 | 0.78202 | -0.49517 | -0.39950 | -0.1152 | 48.269 |
| 124 | TUNNorthern Africa | -0.20271 | -0.45772 | -0.78697 | -0.49184 | -0.32902 | -0.2036 | 48.195 |
| 125 | BENWestern Africa | -0.21532 | -0.29681 | -0.29921 | -0.28632 | -0.45978 | -0.0862 | 47.936 |
| 126 | SURSouth America | -0.22163 | 0.25519 | 0.28725 | -0.74501 | -0.18421 | -0.3271 | 47.807 |
| 127 | XKXSouthern Europe | -0.23965 | 0.13581 | -0.14182 | -0.38262 | -0.04472 | -0.1487 | 47.438 |
| 128 | MDVSouthern Asia | -0.24481 | -0.18775 | 0.04140 | -0.37780 | 0.12003 | -0.2618 | 47.333 |
| 129 | BRASouth America | -0.25004 | 0.28486 | -0.50626 | -0.31723 | -0.50513 | -0.4395 | 47.226 |
| 130 | MNGEastern Asia | -0.25052 | 0.24159 | 0.63557 | -0.03530 | -0.20328 | -0.6071 | 47.216 |
| 131 | RUSEastern Europe | -0.25783 | -1.37522 | -0.83602 | -0.90826 | -1.08958 | -0.8960 | 47.066 |
| 132 | UZBCentral Asia | -0.25806 | -1.09834 | -0.24245 | -0.67278 | -0.66569 | -0.6402 | 47.062 |
| 133 | LKASouthern Asia | -0.26567 | -0.31892 | -0.67516 | -0.42646 | -0.32767 | -0.3838 | 46.906 |
| 134 | SLVCentral America | -0.27714 | -0.52613 | 0.06912 | -0.25187 | -0.69624 | -0.5905 | 46.671 |
| 135 | PRYSouth America | -0.29248 | -0.05285 | 0.00213 | -0.12109 | -0.60532 | -1.0038 | 46.357 |
| 136 | DZANorthern Africa | -0.33554 | -1.07679 | -0.75877 | -0.85273 | -0.77177 | -0.6366 | 45.476 |
| 137 | TZAEastern Africa | -0.34711 | -0.65635 | -0.25373 | -0.56869 | -0.48798 | -0.3526 | 45.239 |
| 138 | CIVWestern Africa | -0.35585 | -0.53896 | -0.78807 | -0.17391 | -0.57973 | -0.3537 | 45.060 |
| 139 | BOLSouth America | -0.36780 | -0.25769 | -0.28811 | -1.14026 | -1.25728 | -0.9420 | 44.815 |
| 140 | GMBWestern Africa | -0.38159 | -0.14459 | 0.12693 | -0.62962 | -0.31765 | -0.2889 | 44.533 |
| 141 | PRICaribbean | -0.41043 | 0.38453 | 0.28376 | 0.65503 | 0.52531 | 0.3522 | 43.943 |
| 142 | KIRMicronesia | -0.44343 | 1.04684 | 1.25405 | -0.61644 | 0.77653 | 0.3370 | 43.267 |
| 143 | BGDSouthern Asia | -0.45050 | -1.04803 | -1.07696 | -0.91250 | -0.89718 | -1.1951 | 43.123 |
| 144 | UGAEastern Africa | -0.46084 | -0.92036 | -1.04569 | -0.49730 | -0.70242 | -1.0005 | 42.911 |
| 145 | KHMSouth-eastern Asia | -0.46829 | -1.50648 | 0.09533 | -0.62835 | -1.06637 | -1.1221 | 42.758 |
| 146 | UKREastern Europe | -0.56376 | -0.04955 | -0.57648 | -0.32261 | -0.79311 | -0.7264 | 40.804 |
| 147 | BIHSouthern Europe | -0.56500 | -0.36550 | -0.20359 | -0.35789 | -0.41422 | -0.5828 | 40.779 |
| 148 | ZMBEastern Africa | -0.57357 | -0.27950 | -0.01410 | -0.45957 | -0.59901 | -0.4051 | 40.604 |
| 149 | DJIEastern Africa | -0.58691 | -1.32217 | -0.48254 | -0.80657 | -1.04782 | -0.9038 | 40.331 |
| 150 | TLSSouth-eastern Asia | -0.60776 | 0.40834 | 0.43842 | -0.81581 | -0.66758 | -0.4217 | 39.904 |
| 151 | TKMCentral Asia | -0.61269 | -2.14148 | 0.19635 | -1.78481 | -1.42354 | -1.3601 | 39.803 |
| 152 | PAKSouthern Asia | -0.61751 | -0.98064 | -1.94661 | -0.84943 | -1.00823 | -1.0488 | 39.704 |
| 153 | TUVPolynesia | -0.61874 | 1.04741 | 1.49529 | -0.66456 | 1.23351 | 0.2433 | 39.679 |
| 154 | MWIEastern Africa | -0.67230 | 0.00662 | -0.24367 | -0.69322 | -0.11787 | -0.6297 | 38.583 |
| 155 | ETHEastern Africa | -0.67466 | -1.17332 | -1.86761 | -0.84990 | -0.99858 | -0.4595 | 38.534 |
| 156 | NERWestern Africa | -0.67842 | -0.74516 | -1.65477 | -0.74588 | -0.81120 | -0.5210 | 38.457 |
| 157 | HNDCentral America | -0.68148 | -0.50495 | -0.35781 | -0.64323 | -1.18057 | -1.0847 | 38.395 |
| 158 | GABMiddle Africa | -0.68383 | -1.13404 | -0.29663 | -0.74513 | -1.01760 | -0.9926 | 38.347 |
| 159 | STPMiddle Africa | -0.69745 | 0.24566 | 0.62252 | -0.90394 | -0.36176 | 0.0983 | 38.068 |
| 160 | BLREastern Europe | -0.71069 | -1.77942 | -0.43926 | -1.20511 | -1.25593 | -0.5360 | 37.797 |
| 161 | NPLSouthern Asia | -0.71737 | 0.00158 | -0.32725 | -0.65089 | -0.34504 | -0.6152 | 37.660 |
| 162 | LSOSouthern Africa | -0.73498 | 0.01045 | -0.14757 | -0.51480 | -0.52071 | -0.3326 | 37.300 |
| 163 | LAOSouth-eastern Asia | -0.75037 | -1.63889 | 0.71858 | -0.74399 | -0.82129 | -0.9602 | 36.985 |
| 164 | IRNSouthern Asia | -0.76539 | -1.60283 | -1.27840 | -1.45890 | -1.20144 | -1.1726 | 36.677 |
| 165 | SWZSouthern Africa | -0.78298 | -1.36439 | -0.80093 | -0.58184 | -0.76565 | -0.6568 | 36.317 |
| 166 | AGOMiddle Africa | -0.80258 | -0.94598 | -0.35581 | -0.88009 | -1.22883 | -0.6231 | 35.916 |
| 167 | NGAWestern Africa | -0.80665 | -0.64144 | -1.90211 | -0.86115 | -0.98049 | -1.0867 | 35.833 |
| 168 | CMRMiddle Africa | -0.80890 | -1.22239 | -1.60996 | -0.78522 | -1.22130 | -1.1181 | 35.787 |
| 169 | MOZEastern Africa | -0.81678 | -0.69679 | -1.44932 | -0.71428 | -1.09716 | -0.9098 | 35.626 |
| 170 | GTMCentral America | -0.81871 | -0.45158 | -0.20690 | -0.36970 | -1.05900 | -1.0699 | 35.586 |
| 171 | TJKCentral Asia | -0.82217 | -1.62158 | -0.31001 | -0.86032 | -1.23190 | -1.1300 | 35.515 |
| 172 | BFAWestern Africa | -0.82581 | -0.65570 | -2.03903 | -0.48729 | -0.74737 | -0.2419 | 35.441 |
| 173 | VUTMelanesia | -0.85915 | 0.60768 | 0.98495 | -0.40478 | 0.44582 | -0.1802 | 34.758 |
| 174 | MRTWestern Africa | -0.88555 | -0.78935 | -0.51018 | -0.85244 | -0.84196 | -0.8548 | 34.218 |
| 175 | GINWestern Africa | -0.89759 | -1.10715 | -0.90148 | -0.98618 | -1.12255 | -0.9816 | 33.971 |
| 176 | TGOWestern Africa | -0.91459 | -0.85777 | -0.93086 | -0.42707 | -0.62867 | -0.5851 | 33.623 |
| 177 | MDGEastern Africa | -0.92086 | -0.49980 | -0.84082 | -0.82862 | -0.95048 | -1.0017 | 33.495 |
| 178 | SLBMelanesia | -0.92277 | 0.25381 | 0.74170 | -1.09225 | 0.16217 | -0.1756 | 33.456 |
| 179 | PNGMelanesia | -0.94552 | -0.09192 | -0.57917 | -0.69950 | -0.52228 | -0.5997 | 32.990 |
| 180 | SLEWestern Africa | -0.97752 | -0.43175 | -0.57366 | -0.98572 | -0.85903 | -0.5590 | 32.335 |
| 181 | NICCentral America | -0.98141 | -1.53516 | -0.07088 | -0.94323 | -1.57649 | -1.2587 | 32.256 |
| 182 | ZWEEastern Africa | -1.00336 | -1.20260 | -0.99355 | -1.26813 | -1.29255 | -1.1986 | 31.807 |
| 183 | KGZCentral Asia | -1.01220 | -0.66810 | -0.46946 | -0.45604 | -0.99716 | -1.1900 | 31.625 |
| 184 | COMEastern Africa | -1.17887 | -1.20036 | -0.37347 | -1.30220 | -1.12286 | -1.1537 | 28.214 |
| 185 | LBNWestern Asia | -1.18791 | -0.63783 | -1.28804 | -0.87563 | -1.09399 | -1.2580 | 28.029 |
| 186 | COGMiddle Africa | -1.20213 | -1.26407 | -0.22392 | -1.23429 | -1.14342 | -1.3775 | 27.738 |
| 187 | TCDMiddle Africa | -1.21494 | -1.44905 | -1.67820 | -1.07126 | -1.42383 | -1.4569 | 27.476 |
| 188 | BDIEastern Africa | -1.22620 | -1.40851 | -1.30798 | -0.90027 | -1.32652 | -1.2928 | 27.245 |
| 189 | LBRWestern Africa | -1.23352 | -0.02369 | -0.17347 | -0.92504 | -0.90252 | -1.0074 | 27.096 |
| 190 | GNQMiddle Africa | -1.23862 | -1.78463 | -0.31491 | -1.31996 | -1.46388 | -1.5264 | 26.991 |
| 191 | PSEWestern Asia | -1.27945 | -1.11043 | -1.62655 | -0.31203 | -0.87643 | -0.5984 | 26.155 |
| 192 | MLIWestern Africa | -1.27967 | -1.01906 | -2.55697 | -0.73423 | -1.02493 | -0.8493 | 26.151 |
| 193 | PRKEastern Asia | -1.32671 | -2.05563 | 0.28685 | -1.93573 | -1.49909 | -1.5590 | 25.188 |
| 194 | NIUPolynesia | -1.38096 | 1.20709 | 1.39796 | -0.87831 | 1.03173 | -0.4714 | 24.078 |
| 195 | IRQWestern Asia | -1.43085 | -0.88423 | -2.21846 | -1.29389 | -1.53830 | -1.4225 | 23.056 |
| 196 | ERIEastern Africa | -1.43796 | -2.28430 | -0.81547 | -2.07051 | -1.78571 | -1.4121 | 22.911 |
| 197 | VENSouth America | -1.49671 | -1.67547 | -1.12314 | -1.87398 | -2.21678 | -1.5537 | 21.708 |
| 198 | GNBWestern Africa | -1.52834 | -0.57559 | -0.30621 | -1.28370 | -1.20417 | -1.1523 | 21.061 |
| 199 | LBYNorthern Africa | -1.54067 | -1.39164 | -2.03944 | -1.86292 | -1.68484 | -1.5455 | 20.808 |
| 200 | CAFMiddle Africa | -1.63824 | -1.24743 | -1.86410 | -1.32860 | -1.74915 | -1.3801 | 18.811 |
| 201 | MMRSouth-eastern Asia | -1.65700 | -2.04912 | -2.20749 | -1.47918 | -1.69824 | -1.1086 | 18.427 |
| 202 | SYRWestern Asia | -1.69330 | -1.95599 | -2.44561 | -1.89856 | -1.86259 | -1.7820 | 17.684 |
| 203 | CODMiddle Africa | -1.70100 | -1.15998 | -1.97492 | -1.29726 | -1.64683 | -1.4833 | 17.527 |
| 204 | SDNNorthern Africa | -1.84928 | -1.80109 | -2.06822 | -1.64320 | -1.66141 | -1.4546 | 14.492 |
| 205 | YEMWestern Asia | -1.90069 | -1.66041 | -2.63139 | -1.43890 | -1.93975 | -1.5996 | 13.440 |
| 206 | SOMEastern Africa | -1.94789 | -1.52722 | -2.16958 | -1.72802 | -2.15711 | -1.6183 | 12.473 |
| 207 | HTICaribbean | -1.98412 | -1.22158 | -0.96523 | -1.46004 | -1.62870 | -1.4983 | 11.732 |
| 208 | AFGSouthern Asia | -2.10470 | -2.06800 | -2.40072 | -1.42529 | -1.89732 | -1.1931 | 9.264 |
| 209 | SSDEastern Africa | -2.27275 | -1.74735 | -1.53632 | -2.04233 | -2.02071 | -1.8725 | 5.824 |
02In 2023
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Luxembourg2.12331
- 2
Singapore2.09703
- 3
Switzerland2.06106
- 4
Japan2.02758
- 5
Denmark1.95707
Lowest
- 209
South Sudan-2.27275
- 208
Afghanistan-2.10470
- 207
Haiti-1.98412
- 206
Somalia-1.94789
- 205
Yemen-1.90069
A higher value is the better result. The middle country reads -0.04083. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Norway1.82535
Lowest
Eritrea-2.28430
Middle country: 0.00854
Political Stability and Absence of Violence
Highest
Liechtenstein1.59574
Lowest
Yemen-2.63139
Middle country: 0.11507
Regulatory Quality
Highest
Singapore2.13494
Lowest
Eritrea-2.07051
Middle country: -0.12109
Rule of Law
Highest
Finland2.01350
Lowest
Venezuela-2.21678
Middle country: -0.11787
Control of Corruption
Highest
Denmark2.2911
Lowest
South Sudan-1.8725
Middle country: -0.1802
Governance Score, Government Effectiveness (0–100)
Highest
Luxembourg95.805
Lowest
South Sudan5.824
Middle country: 51.508
032022 → 2023
Since 2022
What changed between 2022 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 209values changed, of 209 in both
- 125 · 84rose · fell
- 0unchanged
Rose most
Antigua and Barbuda-0.07575 → 0.43660+0.51235
Dominica0.00157 → 0.40026+0.39869
Montenegro0.15033 → 0.41191+0.26158
Bermuda1.20481 → 1.46105+0.25624
Puerto Rico-0.63017 → -0.41043+0.21974
Fell most
Aruba0.90073 → 0.58582−0.31491
Palestine-0.97708 → -1.27945−0.30238
Greece0.64332 → 0.34549−0.29783
San Marino1.11666 → 0.86067−0.25599
Sudan-1.61279 → -1.84928−0.23648
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 0.40026. 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 · 23 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download government-effectiveness-2023-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 (2023). Government Effectiveness, 2023 [data set], describing 2023. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2023
0627 held
Other years
‹ The year before
Government Effectiveness, 2022209 countries
The year after ›
Government Effectiveness, 2024209 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, 2023: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2023?
Luxembourg, at 2.12331, of the 209 countries in the file.
What year does Government Effectiveness, 2023 describe?
2023.
How many countries does Government Effectiveness, 2023 cover?
209.
Where can I download Government Effectiveness, 2023?
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, 2023 the newest?
No. The newest held here is Government Effectiveness, 2025.