Data for 2005
Government Effectiveness, 2005
Figures for 2005, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2005 covers 200 countries on 7 measures. Finland is highest, at 2.1630; Somalia is lowest, at -2.0620. The middle country reads -0.3706. Against 2004, 198 values changed (108 up, 90 down), 2 countries joined.
Government Effectiveness · Data for 2005
HighestFinland
2.1630LowestSomalia
-2.0620Shaded 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, 2005, 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 200 countries · select a heading to sort
| derived | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | FINNorthern Europe | 2.1630 | 1.6201 | 1.4975 | 1.98095 | 1.8720 | 2.31771 | 96.617 |
| 2 | SGPSouth-eastern Asia | 2.1162 | -0.2056 | 1.1299 | 1.91457 | 1.5083 | 2.00257 | 95.658 |
| 3 | DNKNorthern Europe | 2.0496 | 1.6395 | 1.1296 | 2.03540 | 1.7483 | 2.25336 | 94.296 |
| 4 | ISLNorthern Europe | 2.0051 | 1.5302 | 1.3488 | 1.81020 | 1.8517 | 2.29216 | 93.384 |
| 5 | CHEWestern Europe | 1.9892 | 1.5597 | 1.2070 | 1.76963 | 1.8691 | 1.98182 | 93.059 |
| 6 | NLDWestern Europe | 1.9654 | 1.6250 | 0.9899 | 2.02374 | 1.6904 | 1.98433 | 92.573 |
| 7 | NZLAustralia and New Zealand | 1.9406 | 1.5516 | 1.3368 | 1.86573 | 1.7800 | 2.20082 | 92.066 |
| 8 | NORNorthern Europe | 1.9283 | 1.6511 | 1.2623 | 1.68107 | 1.8786 | 2.01885 | 91.813 |
| 9 | AUTWestern Europe | 1.9001 | 1.3203 | 1.0733 | 1.74808 | 1.8023 | 1.95189 | 91.235 |
| 10 | GBRNorthern Europe | 1.8888 | 1.4349 | 0.4005 | 1.89030 | 1.5331 | 1.90265 | 91.006 |
| 11 | CANNorthern America | 1.8882 | 1.4675 | 0.9253 | 1.79223 | 1.6531 | 1.91825 | 90.992 |
| 12 | SWENorthern Europe | 1.8635 | 1.6034 | 1.2747 | 1.73819 | 1.7738 | 2.03406 | 90.486 |
| 13 | AUSAustralia and New Zealand | 1.7540 | 1.5239 | 0.9839 | 1.81493 | 1.6958 | 1.77905 | 88.246 |
| 14 | AIACaribbean | 1.7467 | 0.8068 | 1.2097 | 1.28325 | 1.5808 | 1.32805 | 88.095 |
| 15 | FRAWestern Europe | 1.7462 | 1.4837 | 0.4714 | 1.35629 | 1.4655 | 1.42652 | 88.085 |
| 16 | BELWestern Europe | 1.7445 | 1.4189 | 0.8226 | 1.45249 | 1.2602 | 1.47200 | 88.051 |
| 17 | LUXWestern Europe | 1.7147 | 1.4029 | 1.2377 | 1.93800 | 1.5277 | 1.72165 | 87.442 |
| 18 | DEUWestern Europe | 1.6886 | 1.5141 | 0.9885 | 1.53108 | 1.6254 | 1.93130 | 86.906 |
| 19 | IRLNorthern Europe | 1.6483 | 1.5491 | 1.2712 | 1.88726 | 1.5990 | 1.64508 | 86.082 |
| 20 | USANorthern America | 1.5837 | 1.2248 | 0.1911 | 1.71456 | 1.5449 | 1.48890 | 84.761 |
| 21 | HKGEastern Asia | 1.5535 | 0.6415 | 1.3095 | 2.08486 | 1.4407 | 1.69992 | 84.142 |
| 22 | ISRWestern Asia | 1.4908 | 0.6650 | -0.9275 | 0.90937 | 0.8142 | 0.80673 | 82.858 |
| 23 | JPNEastern Asia | 1.3901 | 1.0070 | 1.1570 | 1.23007 | 1.2058 | 0.92644 | 80.797 |
| 24 | ESPSouthern Europe | 1.3709 | 1.2351 | 0.2636 | 1.45356 | 1.0724 | 1.25717 | 80.405 |
| 25 | BRBCaribbean | 1.3372 | 1.0392 | 1.0920 | 1.23737 | 1.4226 | 1.34911 | 79.715 |
| 26 | CHLSouth America | 1.2953 | 1.2808 | 0.9310 | 1.59995 | 1.3151 | 1.50300 | 78.857 |
| =27 | ABWCaribbean | 1.2275 | 1.0243 | 1.3825 | 1.10491 | 0.8000 | 1.32805 | 77.469 |
| =27 | CYMCaribbean | 1.2275 | 0.8068 | 1.2097 | 1.46160 | 0.8000 | 1.32805 | 77.469 |
| =27 | LIEWestern Europe | 1.2275 | 1.4238 | 1.3236 | 1.81829 | 1.0931 | 1.32805 | 77.469 |
| =27 | MACEastern Asia | 1.2275 | 0.3719 | 1.2492 | 1.28325 | 0.8000 | 0.39147 | 77.469 |
| =27 | PRICaribbean | 1.2275 | 0.9905 | 0.4213 | 1.10491 | 0.8119 | 1.32805 | 77.469 |
| =27 | VIRCaribbean | 1.2275 | 1.0243 | 0.5182 | 1.28325 | 1.0603 | 0.85976 | 77.469 |
| 33 | CYPWestern Asia | 1.2139 | 1.0379 | 0.5336 | 1.31942 | 1.0412 | 0.95545 | 77.191 |
| 34 | TWNEastern Asia | 1.1630 | 0.8944 | 0.9135 | 1.27378 | 1.1066 | 1.01529 | 76.148 |
| 35 | BHSCaribbean | 1.1017 | 1.0553 | 0.8509 | 1.22493 | 1.4405 | 1.32146 | 74.893 |
| 36 | KOREastern Asia | 1.0282 | 0.8427 | 0.6508 | 0.85314 | 0.9211 | 0.58176 | 73.389 |
| 37 | KNACaribbean | 0.9372 | 1.1764 | 1.2686 | 1.10349 | 0.9175 | 1.04285 | 71.527 |
| 38 | CZEEastern Europe | 0.9029 | 0.9347 | 1.0287 | 1.18624 | 0.8795 | 0.57144 | 70.824 |
| 39 | ESTNorthern Europe | 0.8693 | 0.9604 | 0.6712 | 1.47441 | 0.9472 | 0.97277 | 70.137 |
| 40 | MLTSouthern Europe | 0.8484 | 1.2597 | 1.1059 | 1.13172 | 1.5121 | 0.92954 | 69.710 |
| 41 | SVKEastern Europe | 0.8319 | 0.9058 | 0.9142 | 1.19549 | 0.4368 | 0.45418 | 69.372 |
| 42 | LCACaribbean | 0.7890 | 1.2814 | 1.0268 | 0.65555 | 0.8953 | 1.12708 | 68.492 |
| 43 | SVNSouthern Europe | 0.7286 | 1.0406 | 1.0883 | 0.83370 | 0.8330 | 0.84634 | 67.256 |
| 44 | VCTCaribbean | 0.7272 | 1.0632 | 1.1609 | 0.57198 | 0.9354 | 0.96810 | 67.229 |
| 45 | HUNEastern Europe | 0.7216 | 1.1338 | 1.0516 | 1.27249 | 0.9284 | 0.61356 | 67.113 |
| =46 | ANDSouthern Europe | 0.7083 | 1.3769 | 1.3236 | 1.63994 | 1.0307 | 1.32805 | 66.842 |
| =46 | BMUNorthern America | 0.7083 | 1.0243 | 0.7670 | 1.46160 | 0.8000 | 1.32805 | 66.842 |
| 48 | MYSSouth-eastern Asia | 0.6985 | -0.4138 | 0.3861 | 0.52215 | 0.2902 | 0.02959 | 66.640 |
| 49 | PRTSouthern Europe | 0.6842 | 1.3919 | 1.0799 | 1.25150 | 1.1747 | 1.19532 | 66.348 |
| 50 | LTUNorthern Europe | 0.6235 | 0.7721 | 0.7886 | 1.09281 | 0.5607 | 0.52003 | 65.106 |
| 51 | MUSEastern Africa | 0.5969 | 0.9145 | 1.0148 | 0.47715 | 0.9680 | 0.24425 | 64.561 |
| 52 | BWASouthern Africa | 0.5729 | 0.6986 | 1.1200 | 0.80313 | 0.7275 | 1.19968 | 64.071 |
| 53 | ATGCaribbean | 0.5501 | 0.5745 | 0.7736 | 0.32879 | 0.7710 | 0.68208 | 63.603 |
| 54 | AREWestern Asia | 0.5363 | -1.1268 | 0.7746 | 0.53879 | 0.0995 | 0.75351 | 63.321 |
| 55 | URYSouth America | 0.5360 | 1.0140 | 0.8217 | 0.33069 | 0.6285 | 0.93450 | 63.316 |
| 56 | GRCSouthern Europe | 0.4777 | 1.1468 | 0.5615 | 0.85919 | 0.8547 | 0.39516 | 62.121 |
| 57 | POLEastern Europe | 0.4709 | 1.0150 | 0.4999 | 0.83558 | 0.6230 | 0.25987 | 61.983 |
| 58 | ZAFSouthern Africa | 0.4592 | 0.7021 | -0.0151 | 0.61508 | 0.1368 | 0.36289 | 61.742 |
| 59 | BRNSouth-eastern Asia | 0.4386 | -0.8084 | 1.1209 | 1.17562 | 0.2082 | 0.17659 | 61.321 |
| 60 | ITASouthern Europe | 0.4286 | 1.0778 | 0.6010 | 0.94000 | 0.6378 | 0.54580 | 61.116 |
| 61 | GRDCaribbean | 0.4265 | 0.8200 | 0.2968 | 0.13819 | 0.5977 | 0.69830 | 61.074 |
| 62 | LVANorthern Europe | 0.3916 | 0.6630 | 0.8358 | 0.99585 | 0.5559 | 0.32460 | 60.358 |
| 63 | COKPolynesia | 0.3724 | 0.0366 | — | 0.51937 | 0.5752 | 0.40287 | 59.965 |
| 64 | DMACaribbean | 0.3648 | 1.0562 | 0.8677 | 0.35508 | 0.8362 | 0.69830 | 59.810 |
| 65 | BTNSouthern Asia | 0.3613 | -0.6913 | 1.1884 | -0.14971 | 0.2534 | 0.99421 | 59.739 |
| 66 | HRVSouthern Europe | 0.3065 | 0.6402 | 0.5438 | 0.41398 | 0.2169 | 0.20536 | 58.618 |
| 67 | OMNWestern Asia | 0.2667 | -0.9316 | 0.9318 | 0.72233 | 0.3156 | 0.54634 | 57.802 |
| 68 | CRICentral America | 0.2564 | 1.0031 | 0.8404 | 0.70378 | 0.6413 | 0.38404 | 57.592 |
| 69 | SYCEastern Africa | 0.2536 | 0.2870 | 0.7716 | -0.28665 | 0.4268 | 0.11114 | 57.535 |
| 70 | VUTMelanesia | 0.2485 | 0.3270 | 1.2603 | -0.35963 | 0.5360 | 0.31143 | 57.430 |
| 71 | BHRWestern Asia | 0.2305 | -0.7874 | -0.0893 | 0.77577 | 0.3190 | 0.14757 | 57.061 |
| 72 | TUNNorthern Africa | 0.2256 | -1.1452 | -0.1055 | -0.18906 | -0.2684 | -0.28706 | 56.961 |
| 73 | QATWestern Asia | 0.1938 | -0.9093 | 1.0459 | 0.08626 | 0.4086 | 0.66016 | 56.311 |
| 74 | FJIMelanesia | 0.1892 | 0.2742 | 0.3353 | -0.44272 | 0.1917 | -0.06270 | 56.216 |
| 75 | THASouth-eastern Asia | 0.1656 | -0.0514 | -0.8133 | 0.25210 | -0.0844 | -0.35540 | 55.733 |
| 76 | WSMPolynesia | 0.0933 | 0.7747 | 1.0455 | 0.24857 | 1.1076 | 0.27064 | 54.253 |
| 77 | ARGSouth America | 0.0544 | 0.5399 | 0.0894 | -0.57706 | -0.3709 | -0.38962 | 53.458 |
| 78 | TURWestern Asia | 0.0108 | 0.0772 | -0.3725 | 0.10834 | 0.1869 | -0.06512 | 52.565 |
| 79 | TTOCaribbean | 0.0003 | 0.7504 | -0.0636 | 0.63801 | 0.1487 | 0.17585 | 52.350 |
| 80 | KWTWestern Asia | -0.0070 | -0.3201 | 0.2190 | 0.30849 | 0.4943 | 0.45515 | 52.200 |
| 81 | NAMSouthern Africa | -0.0129 | 0.4533 | 0.5555 | 0.09316 | 0.1028 | 0.01800 | 52.080 |
| 82 | MDVSouthern Asia | -0.0370 | -0.8644 | 0.6649 | 0.10574 | -0.1111 | -0.45161 | 51.587 |
| 83 | SURSouth America | -0.0520 | 0.4223 | 0.3659 | -0.69406 | -0.0721 | 0.28388 | 51.278 |
| 84 | BGREastern Europe | -0.1009 | 0.6296 | 0.2911 | 0.64705 | -0.0433 | 0.02814 | 50.278 |
| 85 | PHLSouth-eastern Asia | -0.1090 | 0.0265 | -1.2214 | 0.17315 | -0.3113 | -0.74127 | 50.113 |
| 86 | MEXCentral America | -0.1406 | 0.3799 | -0.3638 | 0.38654 | -0.2052 | -0.43600 | 49.467 |
| 87 | PANCentral America | -0.1445 | 0.5690 | -0.0806 | 0.30596 | -0.0160 | -0.48214 | 49.386 |
| 88 | LBNWestern Asia | -0.1473 | -0.2896 | -1.0064 | -0.24092 | -0.3194 | -0.68526 | 49.329 |
| 89 | JORWestern Asia | -0.1538 | -0.5817 | -0.2847 | 0.26750 | 0.1627 | 0.06027 | 49.195 |
| 90 | INDSouthern Asia | -0.1798 | 0.5283 | -0.8353 | -0.22844 | 0.1546 | -0.41072 | 48.663 |
| 91 | CPVWestern Africa | -0.1883 | 0.8752 | 0.8621 | -0.36706 | 0.5654 | 0.61472 | 48.488 |
| 92 | ARMWestern Asia | -0.1921 | -0.5205 | -0.1275 | 0.15449 | -0.3286 | -0.59135 | 48.411 |
| 93 | LSOSouthern Africa | -0.2269 | 0.1891 | -0.0942 | -0.64232 | -0.0633 | -0.11877 | 47.700 |
| 94 | GHAWestern Africa | -0.2616 | 0.2516 | 0.0470 | -0.30986 | -0.0855 | -0.40946 | 46.990 |
| 95 | GUYSouth America | -0.2884 | 0.1281 | -0.4408 | -0.54804 | -0.5514 | -0.36619 | 46.442 |
| =96 | ASMPolynesia | -0.3300 | 0.5894 | 0.7062 | 0.56987 | 1.0603 | 0.85976 | 45.590 |
| =96 | GUMMicronesia | -0.3300 | 0.5894 | 0.7062 | 0.74821 | 1.0603 | 0.85976 | 45.590 |
| 98 | BRASouth America | -0.3335 | 0.6719 | -0.1723 | 0.12088 | -0.3803 | -0.25089 | 45.517 |
| 99 | COLSouth America | -0.3377 | -0.2753 | -1.9821 | 0.06192 | -0.5798 | -0.09963 | 45.432 |
| 100 | JAMCaribbean | -0.3694 | 0.5770 | -0.3292 | 0.22867 | -0.2369 | -0.31526 | 44.782 |
| 101 | LKASouthern Asia | -0.3718 | -0.1289 | -1.2160 | -0.14854 | 0.1318 | -0.23994 | 44.734 |
| 102 | FSMMicronesia | -0.3798 | 1.0038 | 1.0595 | 0.48999 | 1.3132 | -0.04575 | 44.570 |
| 103 | MKDSouthern Europe | -0.4169 | -0.0302 | -0.9670 | -0.15050 | -0.3209 | -0.50878 | 43.811 |
| 104 | SRBSouthern Europe | -0.4282 | -0.1792 | -0.7422 | -0.72261 | -0.8984 | -0.62139 | 43.579 |
| 105 | TUVPolynesia | -0.4388 | 0.7950 | 1.3236 | -0.24021 | 1.3562 | -0.04575 | 43.362 |
| 106 | BOLSouth America | -0.4565 | 0.1992 | -0.8742 | -0.29654 | -0.5744 | -0.76066 | 43.000 |
| 107 | VNMSouth-eastern Asia | -0.4566 | -1.3513 | 0.3053 | -0.51469 | -0.4845 | -0.79088 | 42.998 |
| 108 | KIRMicronesia | -0.4703 | 0.4399 | 1.3236 | -0.97162 | 0.9231 | 0.32242 | 42.717 |
| 109 | CHNEastern Asia | -0.4877 | -1.6346 | -0.5740 | -0.30220 | -0.8193 | -0.66994 | 42.361 |
| 110 | GEOWestern Asia | -0.4999 | 0.0159 | -0.7352 | -0.32166 | -0.4984 | 0.14759 | 42.112 |
| 111 | BLZCentral America | -0.5071 | 0.8271 | 0.0308 | 0.04929 | 0.3162 | -0.14470 | 41.963 |
| 112 | MDGEastern Africa | -0.5118 | -0.0660 | -0.0865 | -0.43194 | -0.2836 | -0.29068 | 41.869 |
| 113 | SENWestern Africa | -0.5193 | 0.1596 | -0.2720 | -0.31142 | -0.0197 | -0.16836 | 41.715 |
| 114 | SAUWestern Asia | -0.5197 | -1.7241 | -0.4626 | -0.00845 | -0.2085 | -0.40572 | 41.705 |
| 115 | MNGEastern Asia | -0.5206 | 0.2801 | 0.8431 | -0.10824 | -0.0929 | -0.51842 | 41.688 |
| 116 | MARNorthern Africa | -0.5244 | -0.6164 | -0.5704 | -0.48967 | -0.3936 | -0.52089 | 41.610 |
| 117 | TZAEastern Africa | -0.5261 | -0.2939 | -0.5662 | -0.45754 | -0.3458 | -0.65518 | 41.574 |
| 118 | BENWestern Africa | -0.5351 | 0.2068 | 0.4283 | -0.47605 | -0.3611 | -0.67973 | 41.391 |
| 119 | ROUEastern Europe | -0.5629 | 0.4373 | 0.1395 | -0.00366 | -0.0303 | -0.34887 | 40.822 |
| 120 | SLVCentral America | -0.5722 | -0.0611 | -0.0718 | 0.40225 | -0.5352 | -0.42699 | 40.632 |
| 121 | UGAEastern Africa | -0.5869 | -0.5670 | -1.3090 | -0.15824 | -0.5374 | -0.88624 | 40.331 |
| 122 | ALBSouthern Europe | -0.6085 | 0.1308 | -0.6315 | -0.30487 | -0.6454 | -0.88091 | 39.889 |
| 123 | PAKSouthern Asia | -0.6442 | -1.1418 | -1.7409 | -0.60835 | -0.8956 | -1.07456 | 39.159 |
| 124 | EGYNorthern Africa | -0.6447 | -1.1222 | -0.7199 | -0.46028 | -0.1924 | -0.62317 | 39.148 |
| 125 | MHLMicronesia | -0.6486 | 1.0730 | 0.9782 | -0.57212 | 1.1984 | -0.19368 | 39.067 |
| 126 | TONPolynesia | -0.6699 | -0.0250 | 0.6166 | -0.84941 | 0.6272 | -1.32184 | 38.632 |
| 127 | MRTWestern Africa | -0.6707 | -0.8792 | -0.4893 | -0.31971 | -0.7788 | -0.67593 | 38.615 |
| 128 | RWAEastern Africa | -0.7031 | -1.0749 | -1.1139 | -0.76310 | -0.8362 | -0.35543 | 37.953 |
| 129 | NERWestern Africa | -0.7192 | -0.1472 | -0.4152 | -0.74336 | -0.6603 | -0.78074 | 37.623 |
| 130 | MOZEastern Africa | -0.7231 | 0.0833 | -0.1100 | -0.56042 | -0.5387 | -0.65701 | 37.544 |
| 131 | HNDCentral America | -0.7263 | -0.2164 | -0.6695 | -0.39909 | -0.7310 | -0.94791 | 37.478 |
| 132 | KGZCentral Asia | -0.7353 | -0.7224 | -1.2198 | -0.47457 | -1.0376 | -1.33427 | 37.292 |
| 133 | BFAWestern Africa | -0.7437 | -0.2977 | 0.0250 | -0.65283 | -0.5031 | -0.30097 | 37.121 |
| 134 | BIHSouthern Europe | -0.7451 | 0.3659 | -0.5820 | -0.35227 | -0.4051 | -0.41139 | 37.093 |
| 135 | GMBWestern Africa | -0.7462 | -0.9495 | -0.0504 | -0.63186 | -0.4579 | -0.63518 | 37.070 |
| 136 | KENEastern Africa | -0.7575 | -0.1295 | -1.0862 | -0.39787 | -0.7804 | -1.02819 | 36.839 |
| 137 | PERSouth America | -0.7656 | 0.1826 | -0.8892 | 0.02801 | -0.4632 | -0.39981 | 36.673 |
| 138 | DZANorthern Africa | -0.7663 | -0.7071 | -0.8781 | -0.63487 | -0.7254 | -0.62381 | 36.659 |
| 139 | SLBMelanesia | -0.7869 | 0.0607 | -0.1447 | -1.18104 | -0.5420 | -0.04454 | 36.236 |
| 140 | IDNSouth-eastern Asia | -0.7872 | -0.0278 | -1.3794 | -0.41898 | -0.7711 | -1.14054 | 36.231 |
| 141 | IRNSouthern Asia | -0.8119 | -1.3034 | -0.6647 | -1.30191 | -1.0015 | -0.76950 | 35.726 |
| 142 | MLIWestern Africa | -0.8290 | 0.2685 | 0.1878 | -0.40351 | -0.2008 | -0.49270 | 35.375 |
| 143 | DJIEastern Africa | -0.8376 | -0.9759 | -0.6851 | -0.64771 | -1.0039 | -0.65815 | 35.199 |
| 144 | GINWestern Africa | -0.8587 | -1.0330 | -1.2411 | -0.98495 | -1.3896 | -0.88706 | 34.767 |
| 145 | BGDSouthern Asia | -0.8607 | -0.4495 | -1.7812 | -1.02503 | -0.9583 | -1.46277 | 34.727 |
| 146 | DOMCaribbean | -0.8669 | 0.0905 | -0.3899 | -0.28959 | -0.5443 | -0.85330 | 34.600 |
| 147 | STPMiddle Africa | -0.9155 | 0.2790 | 0.5100 | -0.79835 | -0.4191 | -0.41445 | 33.605 |
| 148 | GTMCentral America | -0.9243 | -0.2057 | -0.9190 | -0.43896 | -0.9181 | -0.64137 | 33.425 |
| 149 | ERIEastern Africa | -0.9320 | -2.2105 | -0.9334 | -1.49439 | -1.1325 | -0.41539 | 33.268 |
| 150 | PRYSouth America | -0.9321 | -0.2151 | -0.4750 | -0.76103 | -0.8163 | -1.26459 | 33.266 |
| 151 | RUSEastern Europe | -0.9324 | -0.4481 | -1.1064 | -0.22999 | -0.9053 | -0.90743 | 33.259 |
| 152 | UKREastern Europe | -0.9429 | -0.1759 | -0.3918 | -0.40587 | -0.7772 | -0.92158 | 33.043 |
| 153 | PSEWestern Asia | -0.9455 | -0.4748 | -1.4752 | -0.60748 | -0.7171 | -0.25652 | 32.990 |
| 154 | ZMBEastern Africa | -0.9458 | -0.2200 | -0.0733 | -0.61410 | -0.4165 | -0.58157 | 32.986 |
| 155 | ETHEastern Africa | -0.9520 | -1.1581 | -1.6108 | -0.96068 | -0.9616 | -0.82516 | 32.858 |
| 156 | MDAEastern Europe | -0.9558 | -0.4848 | -0.3863 | -0.54737 | -0.3097 | -0.92579 | 32.780 |
| 157 | AZEWestern Asia | -0.9580 | -1.0556 | -1.1654 | -0.55610 | -0.7129 | -1.15296 | 32.736 |
| 158 | ECUSouth America | -0.9602 | -0.0814 | -0.8544 | -0.83075 | -0.7554 | -0.83784 | 32.689 |
| 159 | MWIEastern Africa | -0.9628 | -0.3113 | -0.0482 | -0.57611 | -0.1892 | -0.77479 | 32.637 |
| 160 | CUBCaribbean | -0.9998 | -1.7995 | 0.4050 | -1.45226 | -1.1630 | -0.14475 | 31.880 |
| 161 | KAZCentral Asia | -1.0021 | -0.9149 | 0.0444 | -0.60935 | -0.8388 | -1.08147 | 31.833 |
| 162 | NICCentral America | -1.0110 | 0.0127 | -0.3846 | -0.17814 | -0.5069 | -0.70643 | 31.651 |
| 163 | NPLSouthern Asia | -1.0235 | -0.9769 | -2.1527 | -0.51221 | -0.8912 | -0.87014 | 31.394 |
| 164 | PNGMelanesia | -1.0376 | -0.2002 | -1.0820 | -0.88107 | -0.7293 | -1.18926 | 31.105 |
| 165 | VENSouth America | -1.0481 | -0.5429 | -1.1788 | -1.09072 | -1.2849 | -1.08462 | 30.891 |
| 166 | TLSSouth-eastern Asia | -1.0491 | 0.0288 | -0.8239 | -1.03194 | -0.3373 | -0.31672 | 30.870 |
| 167 | CMRMiddle Africa | -1.0666 | -1.0528 | -0.3858 | -0.80624 | -1.2328 | -1.23227 | 30.512 |
| 168 | NGAWestern Africa | -1.1047 | -0.6800 | -1.7243 | -1.05058 | -1.3169 | -1.26968 | 29.732 |
| 169 | YEMWestern Asia | -1.1177 | -0.9888 | -1.5347 | -0.73526 | -1.2649 | -1.07450 | 29.466 |
| 170 | SWZSouthern Africa | -1.1235 | -1.2728 | -0.4938 | -0.63493 | -0.8717 | -0.29946 | 29.347 |
| 171 | TJKCentral Asia | -1.1893 | -1.0755 | -1.1950 | -0.94619 | -1.0712 | -1.29549 | 28.001 |
| 172 | GABMiddle Africa | -1.1974 | -0.8694 | 0.0383 | -0.45027 | -0.4603 | -0.82744 | 27.834 |
| 173 | ZWEEastern Africa | -1.2872 | -1.6968 | -1.5675 | -1.99934 | -1.8852 | -1.50385 | 25.998 |
| 174 | LAOSouth-eastern Asia | -1.2896 | -1.5882 | -0.3910 | -1.23781 | -1.1185 | -1.25516 | 25.948 |
| 175 | KHMSouth-eastern Asia | -1.3052 | -0.9260 | -0.6897 | -0.46363 | -1.3372 | -1.16611 | 25.628 |
| 176 | BLREastern Europe | -1.3238 | -1.3377 | 0.3080 | -1.24573 | -0.9230 | -0.27111 | 25.248 |
| 177 | TCDMiddle Africa | -1.3308 | -1.1938 | -1.4785 | -1.27238 | -1.5395 | -1.44555 | 25.104 |
| 178 | SLEWestern Africa | -1.3439 | -0.2334 | -0.4140 | -1.16859 | -0.9415 | -1.03754 | 24.835 |
| 179 | SYRWestern Asia | -1.3653 | -1.6077 | -0.4800 | -1.14396 | -0.7329 | -0.95668 | 24.397 |
| 180 | COGMiddle Africa | -1.3788 | -1.0374 | -1.2760 | -1.23949 | -1.4275 | -1.10571 | 24.123 |
| 181 | AFGSouthern Asia | -1.3904 | -1.0994 | -2.1448 | -1.63830 | -1.7732 | -1.57162 | 23.885 |
| 182 | BDIEastern Africa | -1.3961 | -0.6341 | -1.4947 | -1.21310 | -1.1915 | -1.05681 | 23.768 |
| 183 | LBYNorthern Africa | -1.4459 | -1.9457 | 0.2132 | -1.40718 | -1.1097 | -1.19782 | 22.748 |
| 184 | GNBWestern Africa | -1.4583 | -0.3646 | -0.4960 | -1.15276 | -1.1245 | -1.14732 | 22.495 |
| 185 | UZBCentral Asia | -1.4940 | -1.7699 | -1.8113 | -1.64128 | -1.4170 | -1.42419 | 21.764 |
| 186 | SDNNorthern Africa | -1.5096 | -1.8368 | -2.1342 | -1.17176 | -1.6326 | -1.41426 | 21.444 |
| 187 | GNQMiddle Africa | -1.5327 | -1.8105 | -0.7148 | -1.64411 | -1.4180 | -1.50506 | 20.972 |
| 188 | AGOMiddle Africa | -1.5426 | -1.2040 | -0.9805 | -1.41763 | -1.3760 | -1.29493 | 20.769 |
| 189 | HTICaribbean | -1.5897 | -0.9128 | -1.7434 | -1.40784 | -1.7328 | -1.55812 | 19.805 |
| 190 | CIVWestern Africa | -1.6288 | -1.3267 | -2.3735 | -1.11155 | -1.5720 | -1.26927 | 19.005 |
| 191 | COMEastern Africa | -1.6415 | -0.5510 | -0.6599 | -1.54978 | -0.9717 | -0.83843 | 18.744 |
| 192 | LBRWestern Africa | -1.7153 | -0.3696 | -1.3382 | -1.70647 | -1.2720 | -1.36910 | 17.235 |
| 193 | TGOWestern Africa | -1.7580 | -1.2669 | -1.9219 | -1.19155 | -1.1697 | -0.93600 | 16.360 |
| 194 | CAFMiddle Africa | -1.7908 | -0.9485 | -1.4410 | -1.33805 | -1.4456 | -1.27978 | 15.688 |
| 195 | MMRSouth-eastern Asia | -1.7969 | -2.2071 | -0.9843 | -2.31479 | -1.8329 | -1.59347 | 15.565 |
| 196 | CODMiddle Africa | -1.8157 | -1.4667 | -2.0911 | -1.47662 | -1.6192 | -1.53160 | 15.178 |
| 197 | TKMCentral Asia | -1.8248 | -1.8504 | -0.0123 | -2.10536 | -1.5449 | -1.48623 | 14.993 |
| 198 | PRKEastern Asia | -1.9506 | -2.1934 | -0.2022 | -2.06884 | -1.3135 | -1.19157 | 12.418 |
| 199 | IRQWestern Asia | -2.0129 | -1.3436 | -2.6229 | -1.47237 | -1.7347 | -1.24665 | 11.144 |
| 200 | SOMEastern Africa | -2.0620 | -1.6957 | -2.6020 | -1.91204 | -2.3776 | -1.66042 | 10.138 |
02In 2005
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Finland2.1630
- 2
Singapore2.1162
- 3
Denmark2.0496
- 4
Iceland2.0051
- 5
Switzerland1.9892
Lowest
- 200
Somalia-2.0620
- 199
Iraq-2.0129
- 198
North Korea-1.9506
- 197
Turkmenistan-1.8248
- 196
DR Congo-1.8157
A higher value is the better result. The middle country reads -0.3706. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Norway1.6511
Lowest
Eritrea-2.2105
Middle country: 0.0487
Political Stability and Absence of Violence
Highest
Finland1.4975
Lowest
Iraq-2.6229
Middle country: -0.0151
Regulatory Quality
Highest
Hong Kong2.08486
Lowest
Myanmar-2.31479
Middle country: -0.20875
Rule of Law
Highest
Norway1.8786
Lowest
Somalia-2.3776
Middle country: -0.1501
Control of Corruption
Highest
Finland2.31771
Lowest
Somalia-1.66042
Middle country: -0.28887
Governance Score, Government Effectiveness (0–100)
Highest
Finland96.617
Lowest
Somalia10.138
Middle country: 44.758
032004 → 2005
Since 2004
What changed between 2004 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 198values changed, of 198 in both
- 108 · 90rose · fell
- 0unchanged
Rose most
Anguilla0.5305 → 1.7467+1.2162
Barbados0.5922 → 1.3372+0.7450
Saint Kitts and Nevis0.1985 → 0.9372+0.7387
Saint Lucia0.1359 → 0.7890+0.6530
United States Virgin Islands0.6144 → 1.2275+0.6131
Fell most
Guam0.2368 → -0.3300−0.5668
Timor-Leste-0.5120 → -1.0491−0.5371
Palestine-0.4697 → -0.9455−0.4758
Papua New Guinea-0.6126 → -1.0376−0.4250
Cuba-0.5750 → -0.9998−0.4248
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.
193 distinct values among 200
Values are stored exactly as published, to 20 decimals. 6 countries share 1.2275. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
1 empty cell
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
200 rows · 22 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download government-effectiveness-2005-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 (2005). Government Effectiveness, 2005 [data set], describing 2005. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2005
0627 held
Other years
‹ The year before
Government Effectiveness, 2004198 countries
The year after ›
Government Effectiveness, 2006202 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, 2005: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2005?
Finland, at 2.1630, of the 200 countries in the file.
What year does Government Effectiveness, 2005 describe?
2005.
How many countries does Government Effectiveness, 2005 cover?
200.
Where can I download Government Effectiveness, 2005?
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, 2005 the newest?
No. The newest held here is Government Effectiveness, 2025.