Data for 2012
Government Effectiveness, 2012
Figures for 2012, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2012 covers 207 countries on 7 measures. Finland is highest, at 2.2411; Somalia is lowest, at -2.1530. The middle country reads -0.0839. Against 2011, 207 values changed (134 up, 73 down), the same countries are covered.
Government Effectiveness · Data for 2012
HighestFinland
2.2411LowestSomalia
-2.1530Shaded 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, 2012, 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 | 2.2411 | 1.727464 | 1.36796 | 2.0000 | 1.9750 | 2.090017 | 98.215 |
| 2 | SGPSouth-eastern Asia | 2.0638 | 0.076609 | 1.23787 | 2.1040 | 1.5425 | 2.088656 | 94.586 |
| 3 | SWENorthern Europe | 1.9676 | 1.819220 | 1.15110 | 1.9778 | 1.9263 | 2.171658 | 92.617 |
| 4 | CHEWestern Europe | 1.9627 | 1.561112 | 1.36748 | 1.8181 | 1.8419 | 2.165342 | 92.516 |
| 5 | DNKNorthern Europe | 1.9563 | 1.751304 | 1.04032 | 1.8395 | 1.9158 | 2.264251 | 92.387 |
| 6 | NZLAustralia and New Zealand | 1.9558 | 1.736702 | 1.41341 | 1.9616 | 1.8217 | 2.185193 | 92.375 |
| 7 | NORNorthern Europe | 1.9522 | 1.795562 | 1.32158 | 1.7998 | 1.9809 | 2.131087 | 92.303 |
| 8 | LUXWestern Europe | 1.9503 | 1.582164 | 1.36178 | 1.7342 | 1.7621 | 2.171591 | 92.264 |
| 9 | NLDWestern Europe | 1.9267 | 1.711017 | 1.12141 | 1.7308 | 1.7496 | 2.060880 | 91.780 |
| 10 | CANNorthern America | 1.9122 | 1.390968 | 1.07558 | 1.7023 | 1.6049 | 1.840661 | 91.483 |
| 11 | AIACaribbean | 1.7731 | 1.030708 | 1.55216 | 1.4460 | 1.3233 | 1.325648 | 88.637 |
| 12 | BELWestern Europe | 1.7614 | 1.398239 | 0.93624 | 1.1276 | 1.3207 | 1.487497 | 88.397 |
| 13 | AUSAustralia and New Zealand | 1.7476 | 1.608131 | 0.99537 | 1.9173 | 1.6280 | 1.963758 | 88.114 |
| 14 | HKGEastern Asia | 1.6789 | 0.684095 | 0.92908 | 1.9902 | 1.4096 | 1.631860 | 86.707 |
| 15 | DEUWestern Europe | 1.6720 | 1.468028 | 0.97071 | 1.4903 | 1.5989 | 1.661582 | 86.566 |
| 16 | LIEWestern Europe | 1.6455 | 1.500106 | 1.64983 | 1.7256 | 1.5925 | 1.758593 | 86.025 |
| 17 | ISLNorthern Europe | 1.6287 | 1.433878 | 1.22266 | 1.2425 | 1.6772 | 1.824901 | 85.680 |
| 18 | AUTWestern Europe | 1.5314 | 1.510245 | 1.30135 | 1.5137 | 1.7066 | 1.381299 | 83.689 |
| 19 | USANorthern America | 1.5062 | 1.220210 | 0.61461 | 1.4227 | 1.4126 | 1.264155 | 83.173 |
| 20 | GBRNorthern Europe | 1.4935 | 1.392881 | 0.48021 | 1.6550 | 1.4803 | 1.488637 | 82.913 |
| 21 | FRAWestern Europe | 1.4274 | 1.299457 | 0.61810 | 1.1493 | 1.2855 | 1.472635 | 81.560 |
| 22 | IRLNorthern Europe | 1.4206 | 1.359920 | 0.94556 | 1.5072 | 1.5141 | 1.403525 | 81.422 |
| 23 | CYPWestern Asia | 1.3953 | 1.088450 | 0.79142 | 1.0681 | 0.9507 | 1.004877 | 80.904 |
| 24 | JPNEastern Asia | 1.3493 | 1.222297 | 0.95088 | 1.3935 | 1.3353 | 1.492705 | 79.961 |
| 25 | KOREastern Asia | 1.3395 | 0.878424 | 0.48343 | 0.9288 | 1.0216 | 0.528993 | 79.761 |
| 26 | CHLSouth America | 1.3079 | 1.089183 | 0.60890 | 1.5696 | 1.1388 | 1.479868 | 79.114 |
| 27 | ISRWestern Asia | 1.3052 | 0.549810 | -0.76661 | 1.1249 | 0.8517 | 0.753595 | 79.060 |
| 28 | TWNEastern Asia | 1.2714 | 0.924204 | 1.04752 | 1.2053 | 1.0539 | 0.796081 | 78.367 |
| =29 | ANDSouthern Europe | 1.2540 | 1.444837 | 1.31975 | 1.8027 | 1.4566 | 1.325648 | 78.011 |
| =29 | KNACaribbean | 1.2540 | 1.106771 | 0.91383 | 1.2677 | 0.9595 | 1.325648 | 78.011 |
| =29 | VIRCaribbean | 1.2540 | 0.813252 | 0.86070 | 0.9110 | 0.8028 | 0.857358 | 78.011 |
| 32 | BRBCaribbean | 1.1601 | 1.190826 | 1.23826 | 0.6310 | 1.1370 | 1.445251 | 76.090 |
| 33 | MLTSouthern Europe | 1.1119 | 1.157748 | 1.00171 | 1.2367 | 1.2670 | 0.907568 | 75.103 |
| 34 | ESTNorthern Europe | 1.0973 | 1.094285 | 0.69241 | 1.4687 | 1.1278 | 1.120942 | 74.803 |
| 35 | MUSEastern Africa | 1.0786 | 0.852026 | 1.06019 | 0.9863 | 1.0035 | 0.391067 | 74.420 |
| 36 | VCTCaribbean | 0.9811 | 0.962751 | 0.84934 | 0.5397 | 1.0570 | 1.149298 | 72.426 |
| 37 | AREWestern Asia | 0.9667 | -0.764935 | 0.80901 | 0.7762 | 0.3452 | 1.088655 | 72.130 |
| 38 | PRTSouthern Europe | 0.9167 | 1.232858 | 0.84419 | 0.7498 | 0.9055 | 0.799846 | 71.107 |
| 39 | ESPSouthern Europe | 0.9102 | 1.164614 | 0.15862 | 0.9157 | 1.0825 | 1.116119 | 70.973 |
| 40 | MYSSouth-eastern Asia | 0.9040 | -0.348101 | -0.01487 | 0.7439 | 0.2604 | 0.161829 | 70.846 |
| 41 | SVNSouthern Europe | 0.8955 | 0.917996 | 0.97807 | 0.6951 | 0.8387 | 0.692492 | 70.673 |
| 42 | BHSCaribbean | 0.8718 | 0.925994 | 0.97852 | 0.5141 | 0.6104 | 1.480231 | 70.188 |
| =43 | ABWCaribbean | 0.8695 | 1.414227 | 1.32405 | 1.4868 | 1.3538 | 1.027550 | 70.141 |
| =43 | CYMCaribbean | 0.8695 | 0.664253 | 1.26227 | 1.2424 | 0.8402 | 1.225938 | 70.141 |
| 45 | QATWestern Asia | 0.8684 | -0.992014 | 1.15248 | 0.8708 | 0.7232 | 1.151551 | 70.119 |
| 46 | LCACaribbean | 0.8056 | 1.217953 | 0.80097 | 0.5582 | 0.8106 | 1.164032 | 68.833 |
| 47 | CZEEastern Europe | 0.8045 | 0.885150 | 1.12489 | 0.9578 | 0.8398 | 0.426194 | 68.810 |
| =48 | ATGCaribbean | 0.7348 | 0.667539 | 0.91383 | 0.5543 | 1.0220 | 1.325648 | 67.384 |
| =48 | BMUNorthern America | 0.7348 | 1.030708 | 0.93665 | 1.4460 | 1.0630 | 1.325648 | 67.384 |
| 50 | LTUNorthern Europe | 0.7180 | 0.859306 | 0.70044 | 1.0518 | 0.6091 | 0.567866 | 67.040 |
| 51 | BRNSouth-eastern Asia | 0.6989 | -0.668158 | 0.89119 | 0.9921 | 0.6550 | 0.962014 | 66.649 |
| 52 | URYSouth America | 0.6821 | 1.140960 | 0.89096 | 0.6397 | 0.7055 | 1.332999 | 66.305 |
| 53 | POLEastern Europe | 0.6663 | 1.089184 | 1.05762 | 0.8950 | 0.8712 | 0.823792 | 65.982 |
| 54 | SYCEastern Africa | 0.6638 | 0.188406 | 0.70996 | 0.1307 | 0.1412 | 0.410900 | 65.930 |
| 55 | SVKEastern Europe | 0.6369 | 0.917831 | 1.00386 | 1.0036 | 0.3894 | 0.183619 | 65.380 |
| 56 | LVANorthern Europe | 0.6076 | 0.648300 | 0.48590 | 0.9620 | 0.6326 | 0.391041 | 64.780 |
| 57 | DMACaribbean | 0.6063 | 0.985743 | 1.12295 | 0.5174 | 0.8653 | 0.823578 | 64.754 |
| 58 | BWASouthern Africa | 0.6043 | 0.597241 | 1.21206 | 0.8766 | 0.6890 | 1.001180 | 64.713 |
| 59 | MACEastern Asia | 0.5883 | -0.014234 | 0.30758 | 1.4348 | 0.5975 | 0.040411 | 64.385 |
| 60 | CRICentral America | 0.5696 | 1.085346 | 0.65181 | 0.7012 | 0.4603 | 0.670122 | 64.003 |
| 61 | GRDCaribbean | 0.5546 | 0.846158 | 0.34034 | 0.2343 | 0.3915 | 0.515899 | 63.696 |
| 62 | GEOWestern Asia | 0.5121 | 0.044856 | -0.48976 | 0.7196 | 0.1816 | 0.530352 | 62.825 |
| 63 | TURWestern Asia | 0.5107 | -0.144505 | -0.89548 | 0.4778 | -0.0970 | 0.162775 | 62.796 |
| 64 | BTNSouthern Asia | 0.5050 | -0.014927 | 0.78333 | -0.9050 | 0.1552 | 0.813859 | 62.680 |
| 65 | HRVSouthern Europe | 0.4959 | 0.601569 | 0.65721 | 0.2536 | 0.3041 | 0.099206 | 62.494 |
| 66 | TTOCaribbean | 0.4955 | 0.678267 | 0.13923 | 0.3856 | -0.0891 | -0.104300 | 62.486 |
| 67 | HUNEastern Europe | 0.4742 | 0.694686 | 0.71297 | 0.8363 | 0.5879 | 0.391503 | 62.050 |
| 68 | ITASouthern Europe | 0.4684 | 0.935406 | 0.47800 | 0.5517 | 0.5173 | 0.122506 | 61.932 |
| 69 | ZAFSouthern Africa | 0.4237 | 0.632365 | -0.10726 | 0.6292 | -0.0061 | -0.040107 | 61.017 |
| 70 | NAMSouthern Africa | 0.3569 | 0.398522 | 0.81278 | 0.1939 | 0.2821 | 0.429830 | 59.650 |
| 71 | GRLNorthern America | 0.3428 | 1.436009 | 1.75190 | 1.5211 | 1.6431 | 1.017658 | 59.359 |
| 72 | PANCentral America | 0.3352 | 0.448739 | -0.04224 | 0.4785 | -0.2432 | -0.459727 | 59.204 |
| 73 | MEXCentral America | 0.3025 | 0.167390 | -0.80831 | 0.3253 | -0.6196 | -0.487201 | 58.535 |
| 74 | CPVWestern Africa | 0.2969 | 1.011803 | 0.82285 | 0.0022 | 0.6011 | 0.824765 | 58.420 |
| 75 | GRCSouthern Europe | 0.2710 | 0.789115 | -0.15422 | 0.2088 | 0.3230 | -0.077909 | 57.890 |
| 76 | THASouth-eastern Asia | 0.2531 | -0.250863 | -1.20843 | 0.0668 | -0.1493 | -0.373432 | 57.525 |
| 77 | JAMCaribbean | 0.2462 | 0.514654 | 0.04430 | 0.0466 | -0.3747 | -0.238294 | 57.383 |
| 78 | PHLSouth-eastern Asia | 0.2298 | -0.034000 | -1.14620 | 0.1520 | -0.4906 | -0.634847 | 57.047 |
| 79 | ASMPolynesia | 0.2157 | 1.030708 | 0.97258 | 0.5543 | 1.0630 | 0.389067 | 56.758 |
| 80 | BRASouth America | 0.1939 | 0.710812 | -0.08770 | 0.1958 | -0.0606 | -0.024271 | 56.312 |
| 81 | JORWestern Asia | 0.1804 | -0.663481 | -0.58141 | 0.1546 | 0.1877 | 0.111104 | 56.036 |
| 82 | TUNNorthern Africa | 0.1650 | -0.173207 | -0.67945 | -0.2049 | -0.1569 | -0.048123 | 55.720 |
| 83 | SURSouth America | 0.1399 | 0.442098 | 0.07160 | -0.3672 | -0.0563 | -0.140483 | 55.208 |
| 84 | BHRWestern Asia | 0.1382 | -1.188493 | -1.04063 | 0.7583 | -0.0493 | 0.216413 | 55.172 |
| 85 | PRICaribbean | 0.1357 | 0.755366 | 0.58920 | 1.0717 | 0.7752 | 0.570931 | 55.121 |
| 86 | GHAWestern Africa | 0.1093 | 0.540425 | 0.01655 | -0.0158 | 0.1265 | -0.062768 | 54.581 |
| 87 | INDSouthern Asia | 0.0933 | 0.423714 | -1.11361 | -0.4048 | -0.1173 | -0.503361 | 54.254 |
| 88 | VUTMelanesia | 0.0766 | 0.514973 | 1.45799 | -0.5684 | 0.4500 | 0.410438 | 53.911 |
| 89 | GUYSouth America | 0.0738 | 0.070446 | -0.46836 | -0.6097 | -0.5661 | -0.675956 | 53.854 |
| 90 | ARGSouth America | 0.0686 | 0.429110 | 0.08076 | -0.8159 | -0.5137 | -0.536302 | 53.747 |
| 91 | MNESouthern Europe | 0.0409 | 0.233825 | 0.58480 | 0.0444 | -0.0587 | -0.327538 | 53.181 |
| 92 | COLSouth America | 0.0314 | -0.009922 | -1.32883 | 0.2949 | -0.4493 | -0.407997 | 52.986 |
| 93 | OMNWestern Asia | 0.0188 | -0.838809 | 0.38610 | 0.7896 | 0.3353 | -0.028475 | 52.728 |
| 94 | ARMWestern Asia | 0.0100 | -0.420096 | 0.04699 | 0.4461 | -0.3369 | -0.614529 | 52.548 |
| 95 | KWTWestern Asia | 0.0044 | -0.485191 | 0.09018 | 0.1434 | 0.3523 | -0.138608 | 52.433 |
| 96 | MKDSouthern Europe | 0.0001 | 0.050947 | -0.37634 | 0.2219 | -0.1897 | -0.121189 | 52.346 |
| 97 | RWAEastern Africa | -0.0134 | -0.969899 | -0.24042 | -0.1628 | -0.3397 | 0.424116 | 52.069 |
| 98 | ROUEastern Europe | -0.0238 | 0.389737 | 0.05185 | 0.3734 | 0.1643 | -0.353103 | 51.856 |
| 99 | WSMPolynesia | -0.0325 | 0.442960 | 0.94607 | -0.1327 | 0.8600 | 0.181113 | 51.679 |
| 100 | MDVSouthern Asia | -0.0533 | -0.292364 | -0.32137 | -0.2860 | -0.4968 | -0.706594 | 51.253 |
| 101 | PERSouth America | -0.0773 | 0.364991 | -0.67582 | 0.2952 | -0.5006 | -0.361776 | 50.762 |
| 102 | IDNSouth-eastern Asia | -0.0792 | 0.207941 | -0.58363 | -0.1947 | -0.3991 | -0.778738 | 50.724 |
| 103 | BGREastern Europe | -0.0814 | 0.436483 | 0.37357 | 0.3866 | -0.1982 | -0.350071 | 50.677 |
| 104 | SAUWestern Asia | -0.0839 | -1.714366 | -0.56837 | 0.1800 | -0.0401 | -0.120494 | 50.626 |
| 105 | SLVCentral America | -0.0975 | 0.046091 | 0.17754 | 0.2878 | -0.8364 | -0.416755 | 50.347 |
| 106 | CHNEastern Asia | -0.1001 | -1.572430 | -0.62646 | -0.2417 | -0.6588 | -0.506239 | 50.295 |
| 107 | MARNorthern Africa | -0.1113 | -0.549791 | -0.56532 | 0.0212 | -0.3217 | -0.516949 | 50.067 |
| 108 | LKASouthern Asia | -0.1115 | -0.602067 | -0.93763 | 0.0415 | -0.1247 | -0.309636 | 50.061 |
| 109 | SENWestern Africa | -0.1199 | 0.095450 | -0.15949 | -0.2707 | -0.2083 | -0.264680 | 49.890 |
| 110 | BOLSouth America | -0.1587 | 0.014810 | -0.41867 | -0.8631 | -1.0839 | -0.699161 | 49.095 |
| 111 | SRBSouthern Europe | -0.1973 | 0.191954 | -0.10601 | -0.2243 | -0.2071 | -0.388874 | 48.306 |
| 112 | ECUSouth America | -0.2161 | -0.231561 | -0.68513 | -1.0294 | -1.0700 | -0.610807 | 47.920 |
| 113 | ALBSouthern Europe | -0.2653 | 0.018994 | -0.37313 | -0.0253 | -0.4084 | -0.809182 | 46.913 |
| 114 | SWZSouthern Africa | -0.2760 | -1.328130 | -0.54211 | -0.3584 | -0.6408 | -0.118814 | 46.694 |
| =115 | NRUMicronesia | -0.2853 | 1.023893 | 1.56380 | -0.7545 | 1.2001 | 0.092279 | 46.504 |
| =115 | PLWMicronesia | -0.2853 | 1.070700 | 1.56380 | -0.4816 | 1.2805 | -0.205996 | 46.504 |
| 117 | VNMSouth-eastern Asia | -0.2911 | -1.341598 | 0.08540 | -0.6203 | -0.5079 | -0.442055 | 46.385 |
| 118 | GUMMicronesia | -0.3035 | 0.813252 | 0.76379 | 0.5543 | 1.0630 | 0.857358 | 46.132 |
| 119 | LSOSouthern Africa | -0.3107 | 0.073415 | 0.24328 | -0.4802 | -0.2006 | 0.059873 | 45.985 |
| 120 | BENWestern Africa | -0.3121 | 0.160110 | 0.31597 | -0.5252 | -0.4290 | -0.592721 | 45.956 |
| 121 | TONPolynesia | -0.3209 | 0.353560 | 0.89985 | -0.4625 | 0.1528 | -0.221197 | 45.775 |
| 122 | BLZCentral America | -0.3259 | 0.721240 | 0.07063 | -0.3335 | -0.2966 | -0.074755 | 45.672 |
| 123 | KENEastern Africa | -0.3562 | -0.347124 | -1.48891 | -0.5231 | -0.8170 | -0.975247 | 45.054 |
| 124 | DOMCaribbean | -0.3642 | 0.120822 | 0.02313 | -0.1496 | -0.5963 | -0.782441 | 44.889 |
| 125 | ETHEastern Africa | -0.3868 | -1.289673 | -1.57641 | -0.9343 | -0.7447 | -0.609711 | 44.426 |
| 126 | EGYNorthern Africa | -0.3869 | -0.720175 | -1.61870 | -0.4337 | -0.5339 | -0.485492 | 44.424 |
| 127 | MDAEastern Europe | -0.3879 | 0.127225 | 0.13194 | -0.2353 | -0.3357 | -0.712257 | 44.404 |
| 128 | LBNWestern Asia | -0.3924 | -0.242167 | -1.56575 | -0.2992 | -0.5445 | -0.942689 | 44.312 |
| 129 | MNGEastern Asia | -0.3992 | 0.141742 | 0.61198 | -0.3636 | -0.2164 | -0.599642 | 44.172 |
| 130 | MWIEastern Africa | -0.4140 | -0.106043 | -0.08259 | -0.7050 | -0.3169 | -0.530375 | 43.871 |
| 131 | ZMBEastern Africa | -0.4174 | -0.146902 | 0.42786 | -0.5036 | -0.4632 | -0.301382 | 43.800 |
| 132 | UGAEastern Africa | -0.4396 | -0.573661 | -0.86690 | -0.4153 | -0.4729 | -0.906719 | 43.345 |
| 133 | GTMCentral America | -0.4444 | -0.205031 | -0.73089 | -0.4472 | -1.0007 | -0.798343 | 43.248 |
| 134 | MOZEastern Africa | -0.4597 | -0.217332 | -0.00028 | -0.4708 | -0.6537 | -0.558302 | 42.934 |
| 135 | CUBCaribbean | -0.4713 | -1.568130 | 0.24571 | -1.3836 | -0.7994 | 0.453296 | 42.697 |
| 136 | GMBWestern Africa | -0.4735 | -1.236211 | -0.22457 | -0.4280 | -0.7498 | -0.774694 | 42.652 |
| 137 | HNDCentral America | -0.4766 | -0.297726 | -0.55278 | -0.3634 | -1.2349 | -1.108719 | 42.588 |
| 138 | KHMSouth-eastern Asia | -0.4841 | -1.015702 | -0.39979 | -0.4742 | -1.0821 | -1.134844 | 42.434 |
| 139 | TZAEastern Africa | -0.4964 | -0.117011 | -0.14772 | -0.4763 | -0.4173 | -0.609366 | 42.182 |
| 140 | PNGMelanesia | -0.5091 | -0.126599 | -0.90977 | -0.4850 | -0.7078 | -1.001064 | 41.924 |
| 141 | BIHSouthern Europe | -0.5178 | -0.077546 | -0.57659 | -0.1893 | -0.1220 | -0.401086 | 41.744 |
| 142 | PAKSouthern Asia | -0.5421 | -0.859752 | -2.67360 | -0.7817 | -1.0465 | -1.243788 | 41.248 |
| 143 | UKREastern Europe | -0.5619 | -0.235982 | -0.24108 | -0.6460 | -0.6655 | -1.215318 | 40.842 |
| 144 | MRTWestern Africa | -0.5730 | -0.814685 | -1.09748 | -0.6566 | -0.9937 | -0.736057 | 40.616 |
| 145 | FJIMelanesia | -0.5739 | -1.018648 | -0.13688 | -0.7894 | -0.8260 | 0.088029 | 40.597 |
| 146 | IRNSouthern Asia | -0.5741 | -1.551519 | -1.25057 | -1.2910 | -0.9657 | -0.983243 | 40.592 |
| 147 | BFAWestern Africa | -0.5784 | -0.232284 | -0.64778 | -0.2363 | -0.3590 | -0.340524 | 40.505 |
| 148 | PRYSouth America | -0.5991 | -0.043332 | -0.53690 | -0.4265 | -0.7467 | -0.759848 | 40.081 |
| 149 | TUVPolynesia | -0.5995 | 0.537931 | 1.55180 | -1.0728 | 0.8519 | -0.227306 | 40.074 |
| 150 | KAZCentral Asia | -0.6094 | -0.905046 | -0.37201 | -0.3756 | -0.6683 | -0.912028 | 39.870 |
| 151 | NICCentral America | -0.6126 | -0.560248 | -0.48634 | -0.3845 | -0.8214 | -0.856899 | 39.804 |
| 152 | NIUPolynesia | -0.6192 | -0.154272 | 1.56983 | -0.8820 | -0.5709 | -0.345653 | 39.669 |
| 153 | DZANorthern Africa | -0.6357 | -0.813889 | -1.28258 | -1.0833 | -0.8030 | -0.546935 | 39.333 |
| 154 | PSEWestern Asia | -0.6466 | -0.679660 | -1.95336 | -0.2903 | -0.7284 | -0.431566 | 39.109 |
| 155 | XKXSouthern Europe | -0.6585 | 0.017762 | -0.78466 | -0.2481 | -0.3244 | -0.443508 | 38.864 |
| 156 | BGDSouthern Asia | -0.6621 | -0.423077 | -1.44416 | -0.9738 | -0.9708 | -1.118791 | 38.792 |
| 157 | NERWestern Africa | -0.6631 | -0.188674 | -0.88010 | -0.7284 | -0.7294 | -0.478833 | 38.771 |
| 158 | KIRMicronesia | -0.7046 | 0.726027 | 1.55180 | -1.1978 | 0.4793 | 0.148620 | 37.922 |
| 159 | FSMMicronesia | -0.7165 | 0.877765 | 1.05678 | -0.8109 | 0.3816 | -0.038837 | 37.678 |
| 160 | CMRMiddle Africa | -0.7574 | -1.063488 | -0.78553 | -0.9132 | -1.1090 | -1.215234 | 36.841 |
| 161 | COKPolynesia | -0.7845 | -0.154272 | 1.56983 | -0.8820 | -0.6990 | -0.158104 | 36.286 |
| 162 | AZEWestern Asia | -0.7948 | -1.008518 | -0.65633 | -0.4903 | -0.7492 | -1.169086 | 36.076 |
| 163 | RUSEastern Europe | -0.7966 | -0.750487 | -0.89923 | -0.4332 | -0.9486 | -1.033277 | 36.038 |
| 164 | KGZCentral Asia | -0.8098 | -0.416717 | -0.87457 | -0.4999 | -0.9523 | -1.155293 | 35.767 |
| 165 | STPMiddle Africa | -0.8232 | 0.358039 | 0.29251 | -0.7522 | -0.5530 | -0.157862 | 35.494 |
| 166 | SLBMelanesia | -0.8286 | 0.078872 | 0.36932 | -1.0903 | -0.3770 | -0.398590 | 35.384 |
| 167 | MLIWestern Africa | -0.8291 | -0.521489 | -1.95346 | -0.5320 | -0.7239 | -0.660333 | 35.373 |
| 168 | LAOSouth-eastern Asia | -0.8372 | -1.601445 | -0.08250 | -0.8893 | -0.8563 | -1.141928 | 35.208 |
| 169 | VENSouth America | -0.8390 | -0.894319 | -1.19710 | -1.4386 | -1.8178 | -1.265202 | 35.172 |
| 170 | DJIEastern Africa | -0.8453 | -1.317395 | 0.10228 | -0.7073 | -0.8569 | -0.548770 | 35.042 |
| 171 | NGAWestern Africa | -0.8834 | -0.621846 | -2.10150 | -0.7708 | -1.1230 | -1.155820 | 34.262 |
| 172 | MDGEastern Africa | -0.9032 | -0.827562 | -0.71551 | -0.7414 | -0.8397 | -0.629353 | 33.856 |
| 173 | TLSSouth-eastern Asia | -0.9058 | 0.191918 | -0.41302 | -0.9956 | -1.1195 | -0.805524 | 33.803 |
| 174 | LBRWestern Africa | -0.9064 | -0.069259 | -0.37783 | -1.0521 | -0.8631 | -0.466455 | 33.791 |
| 175 | NPLSouthern Asia | -0.9314 | -0.463628 | -1.47104 | -0.8107 | -0.6254 | -0.995551 | 33.279 |
| 176 | AGOMiddle Africa | -0.9639 | -0.996547 | -0.42839 | -0.9727 | -1.3180 | -1.439064 | 32.614 |
| 177 | GABMiddle Africa | -0.9667 | -0.812125 | 0.07275 | -0.5200 | -0.4865 | -0.690160 | 32.557 |
| 178 | TJKCentral Asia | -0.9999 | -1.001196 | -1.03352 | -0.9788 | -1.2633 | -1.305326 | 31.877 |
| 179 | SYRWestern Asia | -1.0443 | -1.960015 | -2.39692 | -1.4321 | -1.3308 | -1.193409 | 30.968 |
| 180 | SLEWestern Africa | -1.0592 | -0.302616 | -0.25467 | -0.9231 | -0.7504 | -0.764021 | 30.664 |
| 181 | COGMiddle Africa | -1.0658 | -1.081928 | -0.67576 | -1.1716 | -1.1777 | -1.222304 | 30.529 |
| 182 | CIVWestern Africa | -1.0748 | -0.746801 | -1.50321 | -0.8007 | -1.0574 | -0.865466 | 30.345 |
| 183 | BLREastern Europe | -1.0775 | -1.220838 | -0.02114 | -1.1096 | -0.7618 | -0.299817 | 30.288 |
| 184 | LBYNorthern Africa | -1.1150 | -0.740256 | -1.53833 | -1.3593 | -0.9905 | -1.119190 | 29.521 |
| 185 | BDIEastern Africa | -1.1342 | -1.033200 | -1.89325 | -0.9066 | -1.1540 | -1.410967 | 29.128 |
| 186 | YEMWestern Asia | -1.1595 | -1.226173 | -2.36514 | -0.7964 | -1.3549 | -1.245183 | 28.611 |
| 187 | IRQWestern Asia | -1.1605 | -0.860099 | -1.97411 | -1.0569 | -1.4750 | -1.267730 | 28.589 |
| 188 | MHLMicronesia | -1.1932 | 0.914300 | 1.56380 | -1.0643 | 0.6564 | -0.162974 | 27.921 |
| 189 | GINWestern Africa | -1.2008 | -0.880972 | -1.46639 | -1.0636 | -1.4454 | -1.141934 | 27.765 |
| 190 | UZBCentral Asia | -1.2021 | -1.723958 | -0.57106 | -1.5187 | -1.2188 | -1.357270 | 27.739 |
| 191 | TGOWestern Africa | -1.2636 | -0.890882 | -0.66576 | -0.8844 | -0.9096 | -0.813634 | 26.480 |
| 192 | ERIEastern Africa | -1.3318 | -2.418807 | -0.93981 | -1.9365 | -1.4915 | -0.875790 | 25.083 |
| 193 | GNBWestern Africa | -1.3480 | -1.130272 | -1.05519 | -1.3565 | -1.5873 | -1.342045 | 24.753 |
| 194 | TCDMiddle Africa | -1.3585 | -1.178799 | -1.18422 | -1.1924 | -1.5701 | -1.377308 | 24.538 |
| 195 | ZWEEastern Africa | -1.3615 | -1.489394 | -1.26541 | -1.7203 | -1.6501 | -1.302557 | 24.476 |
| 196 | SDNNorthern Africa | -1.3719 | -1.819567 | -2.31958 | -1.4183 | -1.4190 | -1.571830 | 24.262 |
| 197 | GNQMiddle Africa | -1.3808 | -1.842876 | -0.12354 | -1.6532 | -1.2387 | -1.262644 | 24.080 |
| 198 | TKMCentral Asia | -1.4002 | -1.859804 | 0.17356 | -1.8448 | -1.3667 | -1.499425 | 23.684 |
| 199 | COMEastern Africa | -1.4223 | -0.481559 | -0.37784 | -1.4564 | -1.0478 | -0.781635 | 23.231 |
| 200 | CAFMiddle Africa | -1.4476 | -1.011338 | -1.88294 | -1.1291 | -1.4337 | -0.950750 | 22.714 |
| 201 | SSDEastern Africa | -1.4902 | -1.224790 | -1.51875 | -1.4353 | -1.1402 | -1.338842 | 21.842 |
| 202 | HTICaribbean | -1.5004 | -0.746420 | -1.13219 | -1.1592 | -1.3569 | -1.351567 | 21.632 |
| 203 | AFGSouthern Asia | -1.5138 | -1.144924 | -2.49311 | -1.2742 | -1.8922 | -1.632706 | 21.359 |
| 204 | MMRSouth-eastern Asia | -1.5319 | -1.356723 | -1.07545 | -1.7808 | -1.3341 | -1.259155 | 20.988 |
| 205 | CODMiddle Africa | -1.6244 | -1.396399 | -2.25215 | -1.4511 | -1.6419 | -1.324873 | 19.095 |
| 206 | PRKEastern Asia | -1.7878 | -2.117235 | -0.33880 | -2.4202 | -1.4569 | -1.271351 | 15.751 |
| 207 | SOMEastern Africa | -2.1530 | -1.800323 | -2.89150 | -2.1079 | -2.3746 | -1.653421 | 8.274 |
02In 2012
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Finland2.2411
- 2
Singapore2.0638
- 3
Sweden1.9676
- 4
Switzerland1.9627
- 5
Denmark1.9563
Lowest
- 207
Somalia-2.1530
- 206
North Korea-1.7878
- 205
DR Congo-1.6244
- 204
Myanmar-1.5319
- 203
Afghanistan-1.5138
A higher value is the better result. The middle country reads -0.0839. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Sweden1.819220
Lowest
Eritrea-2.418807
Middle country: 0.046091
Political Stability and Absence of Violence
Highest
Greenland1.75190
Lowest
Somalia-2.89150
Middle country: 0.04430
Regulatory Quality
Highest
Singapore2.1040
Lowest
North Korea-2.4202
Middle country: -0.2049
Rule of Law
Highest
Norway1.9809
Lowest
Somalia-2.3746
Middle country: -0.2071
Control of Corruption
Highest
Denmark2.264251
Lowest
Somalia-1.653421
Middle country: -0.238294
Governance Score, Government Effectiveness (0–100)
Highest
Finland98.215
Lowest
Somalia8.274
Middle country: 50.626
032011 → 2012
Since 2011
What changed between 2011 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 134 · 73rose · fell
- 0unchanged
Rose most
Turkmenistan-1.7354 → -1.4002+0.3352
Montenegro-0.2423 → 0.0409+0.2832
North Macedonia-0.2804 → 0.0001+0.2805
Mauritius0.8440 → 1.0786+0.2345
Namibia0.1324 → 0.3569+0.2245
Fell most
Macau1.0830 → 0.5883−0.4947
North Korea-1.3954 → -1.7878−0.3924
Cook Islands-0.4553 → -0.7845−0.3292
Syria-0.7340 → -1.0443−0.3104
Myanmar-1.2606 → -1.5319−0.2713
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.
202 distinct values among 207
Values are stored exactly as published, to 18 decimals. 3 countries share 1.2540. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
Nothing missing
Every one of the 207 countries has every column.
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-2012-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 (2012). Government Effectiveness, 2012 [data set], describing 2012. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2012
0627 held
Other years
‹ The year before
Government Effectiveness, 2011207 countries
The year after ›
Government Effectiveness, 2013207 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, 2012: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2012?
Finland, at 2.2411, of the 207 countries in the file.
What year does Government Effectiveness, 2012 describe?
2012.
How many countries does Government Effectiveness, 2012 cover?
207.
Where can I download Government Effectiveness, 2012?
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, 2012 the newest?
No. The newest held here is Government Effectiveness, 2025.