Data for 2018
Government Effectiveness, 2018
Figures for 2018, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2018 covers 207 countries on 7 measures. Switzerland is highest, at 2.12631; South Sudan is lowest, at -2.13121. The middle country reads 0.01585. Against 2017, 207 values changed (115 up, 92 down), the same countries are covered.
Government Effectiveness · Data for 2018
HighestSwitzerland
2.12631LowestSouth Sudan
-2.13121Shaded 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, 2018, 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 | CHEWestern Europe | 2.12631 | 1.5618 | 1.2405 | 1.77626 | 1.88915 | 2.29499 | 95.8661 |
| 2 | FINNorthern Europe | 2.10672 | 1.7552 | 1.0478 | 1.83717 | 2.03531 | 2.18539 | 95.4650 |
| 3 | SGPSouth-eastern Asia | 2.05704 | 0.0164 | 1.2886 | 2.10953 | 1.53431 | 2.12699 | 94.4483 |
| 4 | NLDWestern Europe | 2.03728 | 1.6386 | 0.7939 | 1.90036 | 1.80891 | 1.93844 | 94.0437 |
| 5 | LUXWestern Europe | 1.95781 | 1.5339 | 1.2980 | 1.73288 | 1.84155 | 2.21178 | 92.4171 |
| 6 | DNKNorthern Europe | 1.94014 | 1.6844 | 0.9899 | 1.83738 | 1.89402 | 2.16741 | 92.0554 |
| 7 | NORNorthern Europe | 1.93590 | 1.8458 | 1.1072 | 1.78699 | 2.02106 | 2.08808 | 91.9686 |
| 8 | SWENorthern Europe | 1.89195 | 1.6611 | 0.9310 | 1.72921 | 1.83208 | 2.12129 | 91.0691 |
| 9 | CANNorthern America | 1.84789 | 1.5571 | 0.9348 | 1.63452 | 1.71913 | 1.80823 | 90.1671 |
| 10 | JPNEastern Asia | 1.81697 | 1.0932 | 1.1196 | 1.37430 | 1.48023 | 1.39216 | 89.5343 |
| =11 | ANDSouthern Europe | 1.79254 | 0.9644 | 1.3283 | 1.34242 | 1.64257 | 1.17426 | 89.0343 |
| =11 | MCOWestern Europe | 1.79254 | 0.9228 | 1.5578 | 1.34242 | 1.56677 | 1.79864 | 89.0343 |
| 13 | NZLAustralia and New Zealand | 1.76504 | 1.6894 | 1.4554 | 1.96573 | 1.80784 | 2.09533 | 88.4714 |
| 14 | DEUWestern Europe | 1.74379 | 1.5141 | 0.8299 | 1.64742 | 1.69680 | 1.91857 | 88.0365 |
| 15 | HKGEastern Asia | 1.72963 | 0.4899 | 0.7544 | 2.17616 | 1.48996 | 1.71592 | 87.7465 |
| 16 | AUSAustralia and New Zealand | 1.71060 | 1.4823 | 0.8832 | 1.84934 | 1.62963 | 1.76959 | 87.3570 |
| 17 | LIEWestern Europe | 1.65604 | 1.3257 | 1.5173 | 1.65658 | 1.64519 | 2.01668 | 86.2404 |
| 18 | ISLNorthern Europe | 1.64995 | 1.4148 | 1.2904 | 1.48758 | 1.72157 | 1.88622 | 86.1157 |
| 19 | AUTWestern Europe | 1.59191 | 1.4366 | 0.8569 | 1.52335 | 1.79959 | 1.63748 | 84.9278 |
| 20 | USANorthern America | 1.58385 | 1.0419 | 0.2995 | 1.44337 | 1.16056 | 1.26302 | 84.7628 |
| 21 | GBRNorthern Europe | 1.51665 | 1.3652 | 0.2890 | 1.67667 | 1.45921 | 1.80997 | 83.3873 |
| =22 | BMUNorthern America | 1.44643 | — | 0.9631 | 0.86683 | 0.89182 | 1.17426 | 81.9499 |
| =22 | SMRSouthern Europe | 1.44643 | 1.1823 | 1.3283 | 0.86683 | 1.64257 | 1.17426 | 81.9499 |
| 24 | TWNEastern Asia | 1.44139 | 1.0060 | 0.9976 | 1.25830 | 1.13652 | 1.11163 | 81.8468 |
| 25 | FRAWestern Europe | 1.43430 | 1.1609 | 0.1159 | 1.29282 | 1.23511 | 1.41365 | 81.7016 |
| 26 | IRLNorthern Europe | 1.41823 | 1.3877 | 0.9744 | 1.64498 | 1.50051 | 1.55918 | 81.3728 |
| 27 | ISRWestern Asia | 1.40009 | 0.6298 | -0.3477 | 1.20838 | 0.89580 | 0.73903 | 81.0014 |
| 28 | KOREastern Asia | 1.37429 | 0.9061 | 0.8472 | 0.96911 | 1.11503 | 0.54319 | 80.4733 |
| 29 | BELWestern Europe | 1.37229 | 1.4108 | 0.4181 | 1.28809 | 1.41186 | 1.45292 | 80.4325 |
| 30 | ESTNorthern Europe | 1.29306 | 1.1723 | 0.7926 | 1.47800 | 1.31795 | 1.49917 | 78.8107 |
| 31 | SVNSouthern Europe | 1.25661 | 0.8751 | 0.9710 | 0.72606 | 0.77193 | 0.82097 | 78.0647 |
| 32 | AREWestern Asia | 1.22023 | -1.0368 | 0.8274 | 1.01883 | 0.37495 | 1.09313 | 77.3200 |
| 33 | MLTSouthern Europe | 1.13769 | 1.1662 | 1.1006 | 1.25668 | 1.06818 | 0.74005 | 75.6306 |
| 34 | PRTSouthern Europe | 1.12547 | 1.2425 | 1.0896 | 0.99681 | 1.13318 | 0.80839 | 75.3804 |
| 35 | CHLSouth America | 1.09859 | 1.0784 | 0.6794 | 1.21439 | 0.98092 | 1.10198 | 74.8302 |
| 36 | CZEEastern Europe | 1.06755 | 0.7788 | 1.0344 | 1.17012 | 1.02860 | 0.62445 | 74.1949 |
| 37 | MUSEastern Africa | 1.06609 | 0.7859 | 0.8848 | 1.04419 | 0.94713 | 0.29519 | 74.1651 |
| 38 | ESPSouthern Europe | 1.06392 | 1.0368 | 0.3485 | 0.92928 | 0.99610 | 0.75427 | 74.1205 |
| =39 | CYMCaribbean | 0.97373 | 0.5138 | 0.9926 | 1.08599 | 0.78786 | 0.60210 | 72.2745 |
| =39 | MACEastern Asia | 0.97373 | 0.2071 | 1.1545 | 1.51874 | 0.98655 | 0.57144 | 72.2745 |
| 41 | BRNSouth-eastern Asia | 0.95002 | -0.9361 | 1.1164 | 0.90498 | 0.42240 | 1.21293 | 71.7891 |
| 42 | MYSSouth-eastern Asia | 0.89909 | -0.1276 | 0.1562 | 0.75819 | 0.30678 | 0.49135 | 70.7468 |
| 43 | CYPWestern Asia | 0.89493 | 1.0512 | 0.6506 | 0.93832 | 0.84171 | 0.66087 | 70.6616 |
| 44 | BRBCaribbean | 0.89152 | 1.0328 | 0.7820 | 0.40271 | 0.81470 | 1.13597 | 70.5919 |
| 45 | LTUNorthern Europe | 0.89137 | 0.8155 | 0.9013 | 1.09364 | 0.74607 | 0.45254 | 70.5887 |
| 46 | WSMPolynesia | 0.83098 | 0.8585 | 1.0029 | 0.07037 | 0.96778 | 0.61907 | 69.3526 |
| 47 | LVANorthern Europe | 0.81042 | 0.6830 | 0.6717 | 1.04693 | 0.65675 | 0.54433 | 68.9318 |
| 48 | ABWCaribbean | 0.78626 | 1.4340 | 1.3442 | 0.98132 | 1.30150 | 1.16180 | 68.4373 |
| =49 | ASMPolynesia | 0.75421 | — | 1.2554 | -0.08434 | 1.35452 | 1.79864 | 67.7813 |
| =49 | AIACaribbean | 0.75421 | — | 1.2521 | 0.86683 | -0.03359 | 1.17426 | 67.7813 |
| =49 | GUMMicronesia | 0.75421 | 1.1289 | 0.9265 | -0.08434 | 1.43433 | 1.17426 | 67.7813 |
| =49 | KNACaribbean | 0.75421 | 0.5748 | 0.6768 | 0.47405 | 0.73254 | 0.40878 | 67.7813 |
| =49 | VIRCaribbean | 0.75421 | — | 0.8094 | 0.86683 | 1.12317 | 0.54987 | 67.7813 |
| 54 | URYSouth America | 0.71175 | 1.2328 | 1.1176 | 0.58009 | 0.87510 | 1.36986 | 66.9122 |
| 55 | POLEastern Europe | 0.70206 | 0.5700 | 0.6189 | 0.75679 | 0.54772 | 0.78353 | 66.7138 |
| 56 | QATWestern Asia | 0.69254 | -1.4027 | 0.8551 | 0.61505 | 0.43382 | 0.74854 | 66.5189 |
| 57 | BHSCaribbean | 0.66461 | 0.6035 | 0.7166 | 0.10593 | 0.33536 | 1.10232 | 65.9473 |
| 58 | SYCEastern Africa | 0.64244 | 0.3955 | 0.7590 | 0.27118 | 0.45460 | 0.81724 | 65.4935 |
| 59 | HUNEastern Europe | 0.63873 | 0.1707 | 0.6619 | 0.50667 | 0.41870 | 0.15139 | 65.4176 |
| 60 | BTNSouthern Asia | 0.62029 | 0.2295 | 1.0959 | -0.04967 | 0.68780 | 1.44992 | 65.0401 |
| 61 | SVKEastern Europe | 0.60207 | 0.7480 | 0.7138 | 0.76736 | 0.33874 | 0.26209 | 64.6672 |
| 62 | HRVSouthern Europe | 0.59179 | 0.4250 | 0.7726 | 0.42815 | 0.29851 | 0.02494 | 64.4568 |
| 63 | ITASouthern Europe | 0.57486 | 1.0046 | 0.3786 | 0.64514 | 0.41783 | 0.25680 | 64.1102 |
| 64 | JAMCaribbean | 0.56939 | 0.5399 | 0.1582 | 0.17595 | -0.13108 | -0.16049 | 63.9982 |
| 65 | INDSouthern Asia | 0.55210 | 0.3505 | -0.6652 | -0.18807 | 0.02054 | -0.21084 | 63.6444 |
| 66 | VCTCaribbean | 0.54342 | 0.6422 | 0.7962 | 0.24994 | 0.61211 | 0.75471 | 63.4667 |
| 67 | TTOCaribbean | 0.52407 | 0.5427 | 0.1082 | -0.05143 | -0.11895 | -0.27476 | 63.0707 |
| 68 | CPVWestern Africa | 0.51665 | 0.9560 | 0.8224 | -0.18159 | 0.72577 | 0.86739 | 62.9188 |
| 69 | CRICentral America | 0.47434 | 1.1742 | 0.6464 | 0.68996 | 0.50518 | 0.65058 | 62.0528 |
| 70 | CHNEastern Asia | 0.45413 | -1.5751 | -0.2586 | -0.09470 | -0.47092 | -0.07284 | 61.6391 |
| 71 | BWASouthern Africa | 0.44482 | 0.3311 | 0.9825 | 0.57095 | 0.41126 | 0.85226 | 61.4485 |
| 72 | FJIMelanesia | 0.44235 | -0.0132 | 0.7032 | -0.21503 | -0.13689 | 0.34035 | 61.3980 |
| 73 | GEOWestern Asia | 0.40652 | 0.2403 | -0.0963 | 0.91733 | 0.28462 | 0.84425 | 60.6646 |
| 74 | IDNSouth-eastern Asia | 0.36321 | 0.1551 | -0.5388 | 0.03591 | -0.22255 | -0.34188 | 59.7782 |
| 75 | GRCSouthern Europe | 0.36251 | 0.7956 | 0.3475 | 0.35009 | 0.30562 | 0.24851 | 59.7638 |
| 76 | GRLNorthern America | 0.36154 | 1.4340 | 1.7611 | 1.52961 | 1.64403 | 1.10744 | 59.7439 |
| 77 | PANCentral America | 0.35646 | 0.5705 | 0.3653 | 0.35079 | -0.20350 | -0.54821 | 59.6399 |
| 78 | NAMSouthern Africa | 0.31541 | 0.4944 | 0.6756 | 0.08526 | 0.22418 | 0.44781 | 58.7997 |
| 79 | RWAEastern Africa | 0.31262 | -0.8615 | 0.1456 | 0.10925 | -0.13404 | 0.43463 | 58.7425 |
| 80 | ARGSouth America | 0.29878 | 0.6537 | 0.1167 | -0.13484 | -0.14614 | -0.00947 | 58.4594 |
| 81 | ALBSouthern Europe | 0.29630 | 0.2080 | 0.1437 | 0.13382 | -0.17177 | -0.58907 | 58.4084 |
| 82 | MNESouthern Europe | 0.27842 | 0.1676 | 0.1249 | 0.32331 | 0.08133 | -0.08462 | 58.0424 |
| 83 | NRUMicronesia | 0.25793 | 0.3538 | 0.8388 | -0.34733 | 0.21286 | 0.45127 | 57.6230 |
| 84 | ZAFSouthern Africa | 0.25150 | 0.5992 | -0.3016 | 0.09539 | -0.08575 | -0.04084 | 57.4916 |
| 85 | BHRWestern Asia | 0.24359 | -1.4384 | -0.8958 | 0.47889 | -0.07816 | -0.14591 | 57.3297 |
| 86 | PHLSouth-eastern Asia | 0.24175 | -0.0436 | -1.0716 | 0.03233 | -0.61802 | -0.63891 | 57.2920 |
| 87 | SRBSouthern Europe | 0.21381 | -0.1417 | 0.1017 | 0.15019 | -0.07480 | -0.38862 | 56.7201 |
| 88 | TONPolynesia | 0.19614 | 0.6841 | 0.8620 | -0.27810 | 0.25300 | -0.08139 | 56.3584 |
| 89 | LCACaribbean | 0.19218 | 0.6939 | 0.8532 | 0.28907 | 0.67293 | 0.45696 | 56.2773 |
| 90 | SAUWestern Asia | 0.15156 | -1.7769 | -0.5636 | 0.06410 | -0.24216 | 0.14943 | 55.4458 |
| 91 | THASouth-eastern Asia | 0.14951 | -0.9430 | -0.9851 | 0.15322 | -0.27907 | -0.37539 | 55.4040 |
| 92 | MKDSouthern Europe | 0.14603 | 0.0131 | -0.1352 | 0.41419 | -0.21321 | -0.34217 | 55.3328 |
| 93 | TUNNorthern Africa | 0.14174 | 0.1435 | -0.5621 | -0.15802 | -0.02956 | -0.02445 | 55.2450 |
| 94 | KWTWestern Asia | 0.12372 | -0.5622 | 0.2353 | 0.03421 | -0.02612 | -0.28017 | 54.8760 |
| 95 | BGREastern Europe | 0.11322 | 0.1899 | 0.5717 | 0.51439 | -0.11718 | -0.18072 | 54.6611 |
| 96 | GHAWestern Africa | 0.09471 | 0.4703 | -0.0338 | -0.16359 | 0.17640 | -0.13882 | 54.2823 |
| 97 | OMNWestern Asia | 0.07249 | -0.9180 | 0.5228 | 0.53144 | 0.20208 | -0.02278 | 53.8274 |
| 98 | TURWestern Asia | 0.07242 | -0.9689 | -1.1423 | 0.01839 | -0.67382 | -0.23493 | 53.8260 |
| 99 | SURSouth America | 0.05161 | 0.2546 | 0.1606 | -0.69832 | -0.23232 | -0.28612 | 53.4001 |
| 100 | MEXCentral America | 0.03752 | 0.0181 | -0.9247 | 0.06923 | -0.80668 | -0.96114 | 53.1116 |
| 101 | FSMMicronesia | 0.03734 | 0.9192 | 1.1917 | -0.78361 | 0.13767 | 0.77747 | 53.1080 |
| 102 | GUYSouth America | 0.03178 | 0.2047 | -0.0488 | -0.44582 | -0.39998 | -0.36394 | 52.9942 |
| 103 | JORWestern Asia | 0.02140 | -0.6977 | -0.3414 | 0.11111 | 0.12170 | 0.07159 | 52.7818 |
| 104 | ROUEastern Europe | 0.01585 | 0.4343 | 0.1448 | 0.38333 | 0.31022 | -0.16700 | 52.6682 |
| 105 | COLSouth America | -0.00536 | 0.1163 | -0.6874 | 0.17653 | -0.40040 | -0.31771 | 52.2340 |
| 106 | SENWestern Africa | -0.00947 | 0.1758 | -0.1538 | -0.24277 | -0.13971 | 0.01629 | 52.1499 |
| 107 | PLWMicronesia | -0.00976 | 1.0263 | 1.1467 | 0.20480 | 1.32417 | 0.45127 | 52.1440 |
| 108 | LKASouthern Asia | -0.01008 | -0.0822 | -0.2822 | -0.15070 | -0.02958 | -0.20512 | 52.1375 |
| 109 | VNMSouth-eastern Asia | -0.01618 | -1.2375 | -0.0665 | -0.28215 | -0.22089 | -0.39430 | 52.0125 |
| 110 | ECUSouth America | -0.11046 | -0.0298 | -0.0595 | -0.82728 | -0.71963 | -0.62580 | 50.0827 |
| 111 | PERSouth America | -0.12135 | 0.3924 | -0.1685 | 0.37954 | -0.42585 | -0.59409 | 49.8598 |
| 112 | ARMWestern Asia | -0.12734 | 0.2745 | -0.0086 | 0.29148 | -0.18597 | -0.16412 | 49.7372 |
| 113 | BRASouth America | -0.14123 | 0.3952 | -0.6459 | -0.21134 | -0.39771 | -0.42991 | 49.4530 |
| 114 | MDAEastern Europe | -0.15058 | -0.0943 | -0.2355 | -0.19245 | -0.39631 | -0.87052 | 49.2615 |
| 115 | GRDCaribbean | -0.16530 | 0.5176 | 0.9155 | -0.17152 | 0.44420 | 0.42069 | 48.9602 |
| 116 | MNGEastern Asia | -0.17853 | 0.2668 | 0.7300 | 0.02274 | -0.16594 | -0.57269 | 48.6895 |
| 117 | KAZCentral Asia | -0.19456 | -0.8848 | -0.1198 | 0.10756 | -0.36352 | -0.50772 | 48.3614 |
| 118 | KENEastern Africa | -0.22128 | -0.4893 | -1.1422 | -0.30518 | -0.49305 | -0.83895 | 47.8145 |
| 119 | BENWestern Africa | -0.22992 | 0.2791 | 0.1649 | -0.45967 | -0.43958 | -0.27890 | 47.6376 |
| 120 | DOMCaribbean | -0.24105 | 0.0991 | 0.0108 | -0.08055 | -0.47676 | -0.84871 | 47.4097 |
| 121 | MARNorthern Africa | -0.26215 | -0.6872 | -0.4295 | -0.09478 | -0.31064 | -0.48364 | 46.9778 |
| 122 | AZEWestern Asia | -0.26541 | -1.2798 | -0.3629 | -0.21835 | -0.64152 | -0.90966 | 46.9112 |
| 123 | BOLSouth America | -0.27505 | -0.1264 | -0.1858 | -0.85801 | -1.22943 | -0.83187 | 46.7139 |
| 124 | SLVCentral America | -0.27743 | 0.0330 | -0.4610 | 0.04289 | -0.81075 | -0.57905 | 46.6651 |
| 125 | RUSEastern Europe | -0.28178 | -0.7788 | -0.3806 | -0.42521 | -0.83618 | -0.89066 | 46.5762 |
| 126 | ATGCaribbean | -0.28411 | 0.5161 | 0.7962 | 0.49120 | 0.58661 | 0.23098 | 46.5284 |
| 127 | MDVSouthern Asia | -0.30865 | -0.6379 | -0.1541 | -0.25345 | -0.57950 | -0.88775 | 46.0262 |
| 128 | IRNSouthern Asia | -0.31736 | -1.4213 | -0.9875 | -1.32036 | -0.94418 | -0.94214 | 45.8478 |
| 129 | CUBCaribbean | -0.32123 | -1.4047 | 0.5509 | -1.24528 | -0.75241 | -0.01195 | 45.7687 |
| 130 | BLREastern Europe | -0.32605 | -1.0708 | 0.2336 | -0.78799 | -0.76259 | -0.12373 | 45.6700 |
| 131 | PRYSouth America | -0.33561 | -0.0244 | -0.0353 | -0.10170 | -0.41308 | -0.89365 | 45.4742 |
| 132 | KHMSouth-eastern Asia | -0.34916 | -1.5073 | -0.1593 | -0.54883 | -1.20081 | -1.42843 | 45.1970 |
| 133 | DZANorthern Africa | -0.34945 | -0.9121 | -0.6228 | -1.06819 | -0.85880 | -0.54544 | 45.1910 |
| 134 | UKREastern Europe | -0.35531 | 0.0000 | -1.4311 | -0.35486 | -0.51405 | -0.99267 | 45.0711 |
| 135 | MHLMicronesia | -0.37140 | 0.9369 | 1.1467 | -0.79624 | 0.60731 | 0.35103 | 44.7418 |
| 136 | PRICaribbean | -0.38487 | 0.7907 | 0.2845 | 0.86844 | 0.55088 | 0.23910 | 44.4661 |
| 137 | TZAEastern Africa | -0.39980 | -0.5042 | -0.6649 | -0.65222 | -0.53450 | -0.34769 | 44.1603 |
| 138 | GMBWestern Africa | -0.40001 | -0.3056 | -0.1179 | -0.71818 | -0.44507 | -0.43052 | 44.1561 |
| 139 | EGYNorthern Africa | -0.40017 | -1.4852 | -1.2553 | -0.72403 | -0.68080 | -0.48295 | 44.1528 |
| 140 | STPMiddle Africa | -0.40479 | 0.2417 | 0.4535 | -0.83858 | -0.48374 | 0.14292 | 44.0583 |
| 141 | BFAWestern Africa | -0.41718 | -0.0198 | -0.9622 | -0.42623 | -0.39838 | -0.15516 | 43.8047 |
| 142 | PAKSouthern Asia | -0.41727 | -0.7460 | -2.0031 | -0.66390 | -0.81137 | -0.96459 | 43.8028 |
| 143 | KIRMicronesia | -0.43239 | 0.9262 | 0.9650 | -0.69784 | 0.41704 | 0.25650 | 43.4933 |
| 144 | ZMBEastern Africa | -0.43861 | -0.4439 | -0.2986 | -0.43161 | -0.45193 | -0.61841 | 43.3660 |
| 145 | VUTMelanesia | -0.44432 | 0.6619 | 1.0336 | -0.44199 | 0.41164 | -0.18297 | 43.2491 |
| 146 | HNDCentral America | -0.45551 | -0.6542 | -0.8866 | -0.42127 | -1.07371 | -0.96879 | 43.0201 |
| 147 | DMACaribbean | -0.45599 | 0.5452 | 1.1400 | 0.16913 | 0.65524 | 0.51083 | 43.0103 |
| 148 | UGAEastern Africa | -0.46240 | -0.7752 | -0.7536 | -0.39925 | -0.64427 | -1.03279 | 42.8790 |
| 149 | KGZCentral Asia | -0.46589 | -0.1443 | -0.3425 | -0.38107 | -0.69491 | -1.04280 | 42.8077 |
| 150 | XKXSouthern Europe | -0.48687 | 0.0955 | -0.4237 | -0.48066 | -0.21738 | -0.38507 | 42.3782 |
| 151 | SWZSouthern Africa | -0.48688 | -1.4105 | -0.5387 | -0.45023 | -0.46253 | -0.30694 | 42.3781 |
| 152 | CIVWestern Africa | -0.49155 | -0.3766 | -0.9249 | -0.30303 | -0.61040 | -0.48991 | 42.2824 |
| 153 | BLZCentral America | -0.49474 | 0.2098 | 0.0198 | -0.65935 | -0.58891 | -0.10699 | 42.2170 |
| 154 | ETHEastern Africa | -0.50406 | -1.1739 | -1.2097 | -0.86235 | -0.74656 | -0.45655 | 42.0264 |
| 155 | MWIEastern Africa | -0.51951 | -0.1326 | -0.3964 | -0.66154 | -0.30396 | -0.81684 | 41.7100 |
| 156 | BGDSouthern Asia | -0.52384 | -0.8202 | -1.0539 | -0.79215 | -0.87787 | -1.09391 | 41.6216 |
| 157 | LSOSouthern Africa | -0.53951 | -0.0611 | -0.1105 | -0.49866 | -0.33504 | 0.01429 | 41.3007 |
| 158 | LBNWestern Asia | -0.54741 | -0.4636 | -1.2351 | -0.42156 | -0.76443 | -1.22117 | 41.1390 |
| 159 | PNGMelanesia | -0.55773 | 0.0600 | -0.8497 | -0.45057 | -0.63268 | -0.93643 | 40.9279 |
| 160 | GTMCentral America | -0.57614 | -0.2528 | -0.6947 | -0.33924 | -0.96256 | -0.99181 | 40.5510 |
| 161 | TUVPolynesia | -0.58604 | 0.9832 | 1.3283 | -0.58682 | 0.91203 | -0.03562 | 40.3484 |
| 162 | UZBCentral Asia | -0.59164 | -1.3742 | -0.2221 | -1.12926 | -0.90577 | -1.20487 | 40.2336 |
| 163 | BIHSouthern Europe | -0.59448 | -0.3428 | -0.2908 | -0.31276 | -0.29606 | -0.63996 | 40.1756 |
| 164 | PSEWestern Asia | -0.60853 | -0.7150 | -1.5032 | -0.08687 | -0.86217 | -0.30570 | 39.8879 |
| 165 | LAOSouth-eastern Asia | -0.64519 | -1.6115 | 0.2220 | -0.84149 | -0.82936 | -1.11205 | 39.1375 |
| 166 | TLSSouth-eastern Asia | -0.66167 | 0.2798 | 0.2183 | -0.91731 | -0.90780 | -0.58751 | 38.8003 |
| 167 | NERWestern Africa | -0.67378 | -0.5558 | -1.2050 | -0.69033 | -0.57080 | -0.45285 | 38.5525 |
| 168 | CMRMiddle Africa | -0.68006 | -1.2026 | -1.4660 | -0.80925 | -1.13510 | -1.12266 | 38.4239 |
| 169 | NPLSouthern Asia | -0.68711 | -0.1033 | -0.5369 | -0.62549 | -0.36628 | -0.73584 | 38.2796 |
| 170 | MOZEastern Africa | -0.69038 | -0.5072 | -0.8007 | -0.69830 | -0.97611 | -0.89370 | 38.2127 |
| 171 | NGAWestern Africa | -0.73339 | -0.4358 | -1.8726 | -0.84995 | -0.82413 | -1.13752 | 37.3323 |
| 172 | TJKCentral Asia | -0.73930 | -1.3925 | -0.6778 | -0.83387 | -1.12999 | -1.34934 | 37.2113 |
| 173 | MRTWestern Africa | -0.78161 | -0.9001 | -0.7475 | -0.72537 | -0.81794 | -0.89539 | 36.3454 |
| 174 | GABMiddle Africa | -0.78320 | -0.9085 | -0.3976 | -0.76213 | -0.78630 | -0.80437 | 36.3128 |
| 175 | NICCentral America | -0.80561 | -1.1634 | -1.0991 | -0.52198 | -1.26226 | -1.22495 | 35.8540 |
| 176 | DJIEastern Africa | -0.82226 | -1.3148 | -0.3380 | -0.76083 | -0.98658 | -0.82157 | 35.5132 |
| 177 | MDGEastern Africa | -0.84178 | -0.4719 | -0.7652 | -0.87896 | -0.78250 | -0.92503 | 35.1137 |
| 178 | GINWestern Africa | -0.84201 | -0.7398 | -0.9243 | -0.82533 | -1.10822 | -1.11562 | 35.1090 |
| 179 | MLIWestern Africa | -0.88041 | -0.4174 | -1.8816 | -0.61661 | -0.73205 | -0.73759 | 34.3230 |
| 180 | SLEWestern Africa | -0.94774 | -0.2537 | -0.2290 | -0.90674 | -0.70871 | -0.53552 | 32.9450 |
| 181 | AGOMiddle Africa | -0.96082 | -0.8709 | -0.4218 | -1.02966 | -1.06449 | -1.18238 | 32.6773 |
| 182 | TGOWestern Africa | -0.97353 | -0.7194 | -0.8856 | -0.70489 | -0.68134 | -0.75982 | 32.4171 |
| 183 | COGMiddle Africa | -1.01846 | -1.1490 | -0.7113 | -1.21443 | -1.18135 | -1.36745 | 31.4974 |
| 184 | ZWEEastern Africa | -1.02588 | -1.1740 | -0.8245 | -1.39493 | -1.29539 | -1.32409 | 31.3454 |
| 185 | TKMCentral Asia | -1.05048 | -1.8103 | -0.1605 | -1.78218 | -1.45609 | -1.45241 | 30.8421 |
| 186 | GNQMiddle Africa | -1.08843 | -1.7864 | -0.4116 | -1.52820 | -1.60678 | -1.52127 | 30.0653 |
| 187 | BDIEastern Africa | -1.09300 | -1.6157 | -1.6212 | -0.97333 | -1.38466 | -1.47978 | 29.9717 |
| 188 | SLBMelanesia | -1.11945 | 0.2079 | 0.3596 | -0.94773 | -0.10685 | -0.14768 | 29.4302 |
| 189 | LBRWestern Africa | -1.14244 | -0.0335 | -0.0359 | -0.87147 | -0.82999 | -0.98121 | 28.9597 |
| 190 | IRQWestern Asia | -1.16436 | -0.8137 | -2.1809 | -1.19389 | -1.45640 | -1.47744 | 28.5111 |
| 191 | MMRSouth-eastern Asia | -1.17921 | -0.9610 | -1.3033 | -0.84526 | -1.14290 | -0.76356 | 28.2071 |
| 192 | TCDMiddle Africa | -1.21677 | -1.3043 | -1.3832 | -1.10898 | -1.35230 | -1.45989 | 27.4383 |
| 193 | COMEastern Africa | -1.22628 | -0.7081 | -0.4109 | -1.25588 | -0.91773 | -1.02491 | 27.2435 |
| 194 | GNBWestern Africa | -1.32359 | -0.7272 | -0.6538 | -1.28288 | -1.13010 | -1.59492 | 25.2518 |
| 195 | ERIEastern Africa | -1.48525 | -2.2186 | -0.9567 | -1.96091 | -1.67694 | -1.43314 | 21.9429 |
| 196 | PRKEastern Asia | -1.51070 | -2.0497 | -0.3358 | -2.06890 | -1.68056 | -1.58686 | 21.4219 |
| 197 | CODMiddle Africa | -1.53012 | -1.4165 | -1.9213 | -1.32344 | -1.67655 | -1.53269 | 21.0245 |
| 198 | VENSouth America | -1.53949 | -1.5605 | -1.4809 | -2.09773 | -2.29612 | -1.59681 | 20.8326 |
| 199 | SYRWestern Asia | -1.54178 | -2.0071 | -2.4479 | -1.55911 | -1.77013 | -1.59134 | 20.7859 |
| 200 | SDNNorthern Africa | -1.55616 | -1.8833 | -1.7214 | -1.54638 | -1.34712 | -1.53002 | 20.4915 |
| 201 | LBYNorthern Africa | -1.56550 | -1.2561 | -2.3096 | -2.04716 | -1.54096 | -1.51628 | 20.3002 |
| 202 | CAFMiddle Africa | -1.59854 | -0.9150 | -1.8982 | -1.36686 | -1.55654 | -1.21897 | 19.6241 |
| 203 | AFGSouthern Asia | -1.60783 | -1.0745 | -2.5907 | -1.33746 | -1.69198 | -1.53456 | 19.4340 |
| 204 | HTICaribbean | -1.61725 | -0.7380 | -0.7643 | -1.18122 | -1.11849 | -1.43641 | 19.2411 |
| 205 | YEMWestern Asia | -1.92320 | -1.7380 | -2.7187 | -1.38820 | -1.72380 | -1.75085 | 12.9788 |
| 206 | SOMEastern Africa | -2.11998 | -1.5928 | -2.0688 | -1.99065 | -2.31106 | -1.80759 | 8.9510 |
| 207 | SSDEastern Africa | -2.13121 | -1.9442 | -2.3555 | -1.93008 | -1.88276 | -1.82655 | 8.7211 |
02In 2018
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Switzerland2.12631
- 2
Finland2.10672
- 3
Singapore2.05704
- 4
Netherlands2.03728
- 5
Luxembourg1.95781
Lowest
- 207
South Sudan-2.13121
- 206
Somalia-2.11998
- 205
Yemen-1.92320
- 204
Haiti-1.61725
- 203
Afghanistan-1.60783
A higher value is the better result. The middle country reads 0.01585. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Norway1.8458
Lowest
Eritrea-2.2186
Middle country: 0.0991
Political Stability and Absence of Violence
Highest
Greenland1.7611
Lowest
Yemen-2.7187
Middle country: 0.1017
Regulatory Quality
Highest
Hong Kong2.17616
Lowest
Venezuela-2.09773
Middle country: -0.08687
Rule of Law
Highest
Finland2.03531
Lowest
Somalia-2.31106
Middle country: -0.14614
Control of Corruption
Highest
Switzerland2.29499
Lowest
South Sudan-1.82655
Middle country: -0.16049
Governance Score, Government Effectiveness (0–100)
Highest
Switzerland95.8661
Lowest
South Sudan8.7211
Middle country: 52.6682
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 115 · 92rose · fell
- 0unchanged
Rose most
Nauru-0.07003 → 0.25793+0.32796
Palau-0.33772 → -0.00976+0.32796
Fiji0.12528 → 0.44235+0.31707
Guinea-Bissau-1.62034 → -1.32359+0.29674
Vanuatu-0.71753 → -0.44432+0.27321
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.
200 distinct values among 207
Values are stored exactly as published, to 18 decimals. 5 countries share 0.75421. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
4 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-2018-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 (2018). Government Effectiveness, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2018
0627 held
Other years
‹ The year before
Government Effectiveness, 2017207 countries
The year after ›
Government Effectiveness, 2019207 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, 2018: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2018?
Switzerland, at 2.12631, of the 207 countries in the file.
What year does Government Effectiveness, 2018 describe?
2018.
How many countries does Government Effectiveness, 2018 cover?
207.
Where can I download Government Effectiveness, 2018?
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, 2018 the newest?
No. The newest held here is Government Effectiveness, 2025.