Data for 2016
Government Effectiveness, 2016
Figures for 2016, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2016 covers 207 countries on 7 measures. Switzerland is highest, at 2.1087; South Sudan is lowest, at -2.1024. The middle country reads 0.0225. Against 2015, 207 values changed (131 up, 76 down), 2 left.
Government Effectiveness · Data for 2016
HighestSwitzerland
2.1087LowestSouth Sudan
-2.1024Shaded 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, 2016, 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 | 2.1087 | 1.5413 | 1.1917 | 1.90499 | 1.88126 | 2.2844 | 95.506 |
| 2 | SGPSouth-eastern Asia | 2.0860 | 0.1051 | 1.2588 | 2.15065 | 1.55265 | 2.1055 | 95.041 |
| 3 | NORNorthern Europe | 1.9651 | 1.8180 | 1.1491 | 1.76597 | 2.00106 | 2.1228 | 92.567 |
| 4 | NLDWestern Europe | 1.9512 | 1.6939 | 0.8775 | 1.93441 | 1.88035 | 1.9059 | 92.283 |
| 5 | LUXWestern Europe | 1.9185 | 1.5301 | 1.3255 | 1.70423 | 1.78351 | 2.1927 | 91.612 |
| 6 | FINNorthern Europe | 1.9063 | 1.7221 | 1.0652 | 1.82397 | 2.05231 | 2.1893 | 91.364 |
| 7 | CANNorthern America | 1.8752 | 1.5364 | 1.1450 | 1.77195 | 1.72841 | 1.9030 | 90.727 |
| 8 | NZLAustralia and New Zealand | 1.8668 | 1.7171 | 1.4549 | 2.02879 | 1.87029 | 2.2083 | 90.555 |
| 9 | DNKNorthern Europe | 1.8622 | 1.7087 | 0.9322 | 1.77242 | 1.93356 | 2.1711 | 90.459 |
| 10 | DEUWestern Europe | 1.8416 | 1.4791 | 0.7938 | 1.65807 | 1.66540 | 1.7622 | 90.039 |
| 11 | JPNEastern Asia | 1.8075 | 1.1318 | 1.0950 | 1.52586 | 1.43178 | 1.4472 | 89.341 |
| 12 | SWENorthern Europe | 1.8010 | 1.6957 | 0.9304 | 1.76266 | 1.94914 | 2.1025 | 89.207 |
| =13 | ANDSouthern Europe | 1.7919 | 1.2730 | 1.3242 | 1.09806 | 1.61403 | 1.1727 | 89.021 |
| =13 | MCOWestern Europe | 1.7919 | 0.7496 | 1.1889 | 1.33586 | 1.61403 | 1.7970 | 89.021 |
| 15 | HKGEastern Asia | 1.6823 | 0.5399 | 0.6689 | 2.19135 | 1.60460 | 1.6977 | 86.778 |
| 16 | LIEWestern Europe | 1.6557 | 1.3802 | 1.5143 | 1.57553 | 1.63286 | 2.0160 | 86.233 |
| 17 | AUTWestern Europe | 1.6457 | 1.4722 | 0.9095 | 1.40965 | 1.78593 | 1.5180 | 86.028 |
| 18 | AUSAustralia and New Zealand | 1.6215 | 1.5096 | 0.9505 | 1.84082 | 1.74205 | 1.7942 | 85.533 |
| 19 | GBRNorthern Europe | 1.6053 | 1.4351 | 0.4531 | 1.67536 | 1.59493 | 1.7613 | 85.201 |
| 20 | USANorthern America | 1.5478 | 1.1754 | 0.3377 | 1.38244 | 1.40397 | 1.2343 | 84.024 |
| 21 | ISRWestern Asia | 1.5175 | 0.5708 | -0.3715 | 1.26217 | 0.97889 | 1.1092 | 83.404 |
| 22 | ISLNorthern Europe | 1.5049 | 1.4504 | 1.2123 | 1.34520 | 1.59543 | 1.9721 | 83.147 |
| 23 | BELWestern Europe | 1.4687 | 1.4498 | 0.4828 | 1.34269 | 1.43088 | 1.5376 | 82.405 |
| 24 | IRLNorthern Europe | 1.4656 | 1.3766 | 0.8898 | 1.66898 | 1.54278 | 1.6462 | 82.342 |
| =25 | AIACaribbean | 1.4458 | 1.0291 | 1.2486 | 0.86027 | -0.03138 | 1.1727 | 81.936 |
| =25 | BMUNorthern America | 1.4458 | 1.0291 | 0.8060 | 0.86027 | 0.89402 | 1.1727 | 81.936 |
| =25 | SMRSouthern Europe | 1.4458 | 1.1929 | 1.3242 | 0.86027 | 1.67651 | 1.1727 | 81.936 |
| =25 | VIRCaribbean | 1.4458 | 0.8116 | 0.8060 | 0.86027 | 0.66267 | 0.5483 | 81.936 |
| 29 | TWNEastern Asia | 1.3723 | 0.9917 | 1.0084 | 1.27035 | 1.12398 | 1.0422 | 80.434 |
| 30 | FRAWestern Europe | 1.3415 | 1.1864 | -0.0170 | 1.15063 | 1.25949 | 1.3399 | 79.803 |
| 31 | MUSEastern Africa | 1.2191 | 0.8022 | 1.0139 | 1.06712 | 0.98917 | 0.3248 | 77.298 |
| 32 | AREWestern Asia | 1.2052 | -0.8543 | 0.7025 | 1.02413 | 0.40144 | 1.1052 | 77.012 |
| 33 | KOREastern Asia | 1.1822 | 0.6642 | 0.4956 | 0.97383 | 1.03935 | 0.3555 | 76.542 |
| 34 | SVNSouthern Europe | 1.1808 | 0.9062 | 0.9989 | 0.71165 | 0.83892 | 0.7495 | 76.512 |
| 35 | MLTSouthern Europe | 1.1592 | 1.1666 | 0.9203 | 1.08643 | 1.06162 | 0.7842 | 76.070 |
| 36 | ESTNorthern Europe | 1.1293 | 1.1806 | 0.8671 | 1.66786 | 1.34434 | 1.2621 | 75.459 |
| 37 | CZEEastern Europe | 1.0739 | 0.9938 | 1.0475 | 0.95370 | 1.08171 | 0.6216 | 74.324 |
| 38 | PRTSouthern Europe | 1.0665 | 1.3176 | 0.9560 | 0.91198 | 1.12896 | 0.7132 | 74.174 |
| 39 | ESPSouthern Europe | 1.0549 | 1.0828 | 0.4340 | 1.01432 | 1.02842 | 0.6344 | 73.936 |
| 40 | CHLSouth America | 1.0533 | 1.0883 | 0.5930 | 1.29819 | 0.99333 | 1.1289 | 73.903 |
| 41 | CYPWestern Asia | 1.0079 | 1.0284 | 0.7596 | 0.96158 | 0.84621 | 0.7261 | 72.973 |
| =42 | CYMCaribbean | 0.9734 | 0.6637 | 0.9890 | 0.99063 | 0.78854 | 0.6014 | 72.267 |
| =42 | MACEastern Asia | 0.9734 | 0.2097 | 1.3129 | 1.59542 | 0.92658 | 0.8353 | 72.267 |
| 44 | BRNSouth-eastern Asia | 0.9119 | -0.7799 | 0.9936 | 0.77429 | 0.38203 | 1.0817 | 71.009 |
| 45 | BRBCaribbean | 0.8912 | 1.0307 | 0.8239 | 0.51636 | 1.06032 | 1.1470 | 70.586 |
| 46 | QATWestern Asia | 0.8825 | -1.1417 | 0.8296 | 0.69824 | 0.57261 | 0.8602 | 70.406 |
| 47 | LTUNorthern Europe | 0.8492 | 0.8481 | 0.9466 | 1.10220 | 0.92387 | 0.7263 | 69.725 |
| 48 | WSMPolynesia | 0.8305 | 0.5062 | 1.0618 | 0.06786 | 1.02435 | 0.1915 | 69.343 |
| 49 | MYSSouth-eastern Asia | 0.8207 | -0.4345 | -0.0286 | 0.74862 | 0.12371 | 0.1013 | 69.142 |
| 50 | SYCEastern Africa | 0.7987 | 0.3225 | 0.7563 | 0.22827 | 0.33444 | 0.9095 | 68.693 |
| 51 | SVKEastern Europe | 0.7871 | 0.9088 | 0.7336 | 0.90104 | 0.32037 | 0.2650 | 68.454 |
| 52 | URYSouth America | 0.7724 | 1.2227 | 1.1292 | 0.71047 | 0.90730 | 1.3818 | 68.153 |
| =53 | ASMPolynesia | 0.7536 | 1.0291 | 1.2500 | 0.14688 | 1.35673 | 1.1727 | 67.768 |
| =53 | GUMMicronesia | 0.7536 | 0.8116 | 0.6523 | -0.09091 | 1.12538 | 1.1727 | 67.768 |
| =53 | KNACaribbean | 0.7536 | 0.7896 | 0.6742 | 0.52654 | 0.79880 | 0.4361 | 67.768 |
| 56 | POLEastern Europe | 0.7377 | 0.8516 | 0.5550 | 0.78354 | 0.74875 | 0.8883 | 67.443 |
| 57 | LVANorthern Europe | 0.6990 | 0.6888 | 0.6451 | 1.00847 | 0.70877 | 0.5678 | 66.650 |
| 58 | BHSCaribbean | 0.6643 | 0.5885 | 0.7956 | 0.19916 | 0.40456 | 1.0890 | 65.942 |
| 59 | BWASouthern Africa | 0.6285 | 0.3327 | 0.9695 | 0.63214 | 0.41664 | 0.8630 | 65.208 |
| 60 | ABWCaribbean | 0.5984 | 1.4137 | 1.2245 | 1.39741 | 1.30217 | 1.1611 | 64.593 |
| 61 | HUNEastern Europe | 0.5767 | 0.3633 | 0.5881 | 0.56692 | 0.48290 | 0.1580 | 64.148 |
| 62 | GEOWestern Asia | 0.5585 | 0.3255 | -0.0618 | 1.01488 | 0.38586 | 0.7797 | 63.774 |
| 63 | VCTCaribbean | 0.5429 | 0.6808 | 0.9129 | 0.26881 | 0.63121 | 0.6791 | 63.457 |
| 64 | JAMCaribbean | 0.5322 | 0.6440 | 0.0834 | 0.16727 | -0.13348 | -0.1874 | 63.237 |
| 65 | ITASouthern Europe | 0.5042 | 1.0618 | 0.3623 | 0.71580 | 0.48584 | 0.1352 | 62.665 |
| 66 | TTOCaribbean | 0.4823 | 0.5625 | 0.0372 | 0.00426 | -0.02082 | -0.2517 | 62.215 |
| 67 | INDSouthern Asia | 0.4724 | 0.4287 | -0.7241 | -0.27329 | -0.08154 | -0.2868 | 62.012 |
| 68 | CHNEastern Asia | 0.4704 | -1.5510 | -0.5160 | -0.12520 | -0.58192 | -0.0947 | 61.972 |
| 69 | CPVWestern Africa | 0.4597 | 0.8427 | 0.8097 | -0.15803 | 0.67348 | 0.8415 | 61.752 |
| 70 | BTNSouthern Asia | 0.4590 | 0.1184 | 1.0909 | -0.35429 | 0.52720 | 1.1682 | 61.739 |
| 71 | PANCentral America | 0.4406 | 0.5339 | 0.4722 | 0.41911 | -0.08196 | -0.4943 | 61.363 |
| 72 | CRICentral America | 0.4187 | 1.1189 | 0.7287 | 0.67696 | 0.52158 | 0.8049 | 60.914 |
| 73 | ATGCaribbean | 0.4074 | 0.6210 | 0.7312 | 0.21184 | 0.90529 | 0.6411 | 60.683 |
| 74 | HRVSouthern Europe | 0.3629 | 0.5507 | 0.6283 | 0.18767 | 0.34304 | 0.0961 | 59.772 |
| 75 | GRLNorthern America | 0.3609 | 1.4352 | 1.7567 | 1.52594 | 1.64491 | 1.1064 | 59.731 |
| 76 | ARGSouth America | 0.3509 | 0.4995 | 0.1846 | -0.22949 | -0.19251 | -0.2198 | 59.527 |
| 77 | ZAFSouthern Africa | 0.3264 | 0.6212 | -0.3387 | 0.27802 | 0.04494 | 0.0430 | 59.025 |
| 78 | MNESouthern Europe | 0.3153 | 0.1511 | 0.2650 | 0.28170 | -0.01443 | -0.1938 | 58.797 |
| 79 | JORWestern Asia | 0.2947 | -0.6456 | -0.5301 | 0.12546 | 0.14945 | 0.2005 | 58.376 |
| 80 | TURWestern Asia | 0.2836 | -0.7042 | -1.7669 | 0.12040 | -0.51032 | -0.1119 | 58.148 |
| 81 | PHLSouth-eastern Asia | 0.2835 | 0.1013 | -1.4435 | 0.15482 | -0.45256 | -0.6123 | 58.147 |
| 82 | BHRWestern Asia | 0.2492 | -1.3318 | -0.9366 | 0.51433 | -0.03987 | -0.0920 | 57.444 |
| 83 | IDNSouth-eastern Asia | 0.2468 | 0.1521 | -0.4609 | 0.00703 | -0.32036 | -0.4844 | 57.395 |
| 84 | NAMSouthern Africa | 0.2394 | 0.4619 | 0.6535 | 0.15791 | 0.36107 | 0.4201 | 57.244 |
| 85 | RWAEastern Africa | 0.2112 | -0.9290 | -0.0343 | 0.13683 | -0.12422 | 0.5780 | 56.667 |
| 86 | PRICaribbean | 0.2044 | 0.7367 | 0.4803 | 1.00168 | 0.67594 | 0.2495 | 56.528 |
| 87 | ALBSouthern Europe | 0.2038 | 0.1480 | 0.1424 | 0.07093 | -0.19800 | -0.5309 | 56.515 |
| 88 | LCACaribbean | 0.1918 | 0.9121 | 0.9129 | 0.31881 | 0.79742 | 0.5748 | 56.269 |
| 89 | FJIMelanesia | 0.1840 | -0.2341 | 0.7253 | -0.21854 | -0.29817 | 0.3151 | 56.111 |
| 90 | MEXCentral America | 0.1836 | -0.0278 | -0.8314 | 0.22331 | -0.64742 | -0.8094 | 56.102 |
| 91 | SAUWestern Asia | 0.1630 | -1.7381 | -0.4924 | 0.15035 | -0.17917 | 0.1140 | 55.679 |
| 92 | GHAWestern Africa | 0.1376 | 0.4636 | -0.1320 | -0.25279 | 0.18601 | -0.2414 | 55.161 |
| 93 | SRBSouthern Europe | 0.1305 | 0.1606 | 0.1555 | 0.04153 | -0.02894 | -0.3788 | 55.014 |
| 94 | SURSouth America | 0.1285 | 0.2760 | 0.1848 | -0.60098 | -0.17690 | -0.1780 | 54.975 |
| 95 | GRCSouthern Europe | 0.1254 | 0.7761 | -0.1446 | 0.21194 | 0.29424 | 0.0894 | 54.910 |
| 96 | OMNWestern Asia | 0.1166 | -0.8407 | 0.4889 | 0.68834 | 0.23910 | -0.0231 | 54.730 |
| 97 | LKASouthern Asia | 0.0941 | -0.1720 | -0.1489 | -0.01877 | -0.07160 | -0.2510 | 54.269 |
| 98 | THASouth-eastern Asia | 0.0667 | -0.8642 | -1.1209 | 0.16689 | -0.31062 | -0.4108 | 53.708 |
| 99 | TUNNorthern Africa | 0.0525 | 0.2609 | -0.8457 | -0.50097 | -0.06964 | -0.0629 | 53.418 |
| 100 | DMACaribbean | 0.0432 | 0.6526 | 0.9556 | 0.24766 | 0.76977 | 0.6218 | 53.229 |
| 101 | GRDCaribbean | 0.0411 | 0.6705 | 0.9129 | 0.06857 | 0.79961 | 0.5410 | 53.184 |
| 102 | BRASouth America | 0.0252 | 0.5426 | -0.5234 | -0.06907 | -0.14400 | -0.3355 | 52.859 |
| 103 | BGREastern Europe | 0.0236 | 0.3192 | 0.1950 | 0.58580 | -0.18157 | -0.3560 | 52.828 |
| 104 | VNMSouth-eastern Asia | 0.0225 | -1.1938 | 0.1417 | -0.29970 | -0.19221 | -0.3559 | 52.804 |
| 105 | ROUEastern Europe | 0.0188 | 0.5525 | 0.3193 | 0.44027 | 0.38733 | -0.0762 | 52.729 |
| 106 | COLSouth America | 0.0162 | 0.0837 | -0.8939 | 0.31962 | -0.31322 | -0.3686 | 52.676 |
| 107 | KWTWestern Asia | 0.0058 | -0.5529 | -0.0304 | -0.02723 | -0.06559 | -0.3431 | 52.463 |
| 108 | GUYSouth America | -0.0143 | 0.0577 | -0.0161 | -0.38192 | -0.47628 | -0.4063 | 52.051 |
| 109 | NRUMicronesia | -0.0694 | 0.7169 | 1.0043 | -0.56697 | 0.22324 | 0.4497 | 50.923 |
| 110 | MDVSouthern Asia | -0.0695 | -0.6035 | 0.0474 | -0.25596 | -0.57050 | -0.7610 | 50.921 |
| 111 | ECUSouth America | -0.0853 | -0.2898 | -0.1610 | -0.91329 | -0.92274 | -0.7644 | 50.599 |
| 112 | CUBCaribbean | -0.0892 | -1.4934 | 0.5995 | -1.16520 | -0.76701 | 0.0045 | 50.518 |
| 113 | PERSouth America | -0.1113 | 0.3155 | -0.1769 | 0.36281 | -0.32655 | -0.5072 | 50.065 |
| 114 | DOMCaribbean | -0.1153 | 0.0880 | 0.1586 | -0.01738 | -0.46776 | -0.7938 | 49.983 |
| 115 | SENWestern Africa | -0.1169 | 0.2506 | -0.2212 | -0.18348 | -0.07439 | 0.0269 | 49.952 |
| 116 | MARNorthern Africa | -0.1236 | -0.5811 | -0.4742 | 0.04375 | -0.27791 | -0.3027 | 49.814 |
| 117 | TONPolynesia | -0.1365 | 0.3532 | 0.9348 | -0.29938 | 0.07998 | -0.5857 | 49.549 |
| 118 | MKDSouthern Europe | -0.1421 | -0.2238 | -0.3553 | 0.24116 | -0.31486 | -0.3294 | 49.435 |
| 119 | SLVCentral America | -0.1522 | 0.0864 | -0.3020 | 0.04650 | -0.72865 | -0.5615 | 49.229 |
| 120 | ARMWestern Asia | -0.1554 | -0.3843 | -0.3778 | 0.23799 | -0.26471 | -0.6217 | 49.163 |
| 121 | KENEastern Africa | -0.1973 | -0.2362 | -1.1945 | -0.23379 | -0.60175 | -0.9100 | 48.306 |
| 122 | FSMMicronesia | -0.2027 | 0.8742 | 1.0618 | -0.78612 | 0.25905 | 0.7764 | 48.195 |
| 123 | BOLSouth America | -0.2082 | -0.0431 | -0.2480 | -0.85391 | -1.22942 | -0.7587 | 48.082 |
| 124 | KAZCentral Asia | -0.2086 | -0.9060 | -0.0901 | -0.11680 | -0.50024 | -0.8071 | 48.075 |
| 125 | IRNSouthern Asia | -0.2449 | -1.3805 | -0.6701 | -1.10896 | -0.94573 | -0.6568 | 47.331 |
| 126 | AZEWestern Asia | -0.2552 | -1.2383 | -0.4894 | -0.23630 | -0.65689 | -0.7996 | 47.120 |
| 127 | MNGEastern Asia | -0.2640 | 0.3057 | 0.6935 | -0.04991 | -0.13135 | -0.6211 | 46.939 |
| 128 | TZAEastern Africa | -0.2709 | -0.2949 | -0.5352 | -0.40919 | -0.41282 | -0.4380 | 46.799 |
| 129 | SWZSouthern Africa | -0.2748 | -1.4056 | -0.4453 | -0.36302 | -0.52049 | -0.2848 | 46.720 |
| 130 | LAOSouth-eastern Asia | -0.2978 | -1.5628 | 0.2917 | -0.72859 | -0.70733 | -0.9490 | 46.248 |
| 131 | HNDCentral America | -0.3059 | -0.5121 | -0.7243 | -0.56746 | -1.16199 | -0.9219 | 46.082 |
| 132 | UGAEastern Africa | -0.3347 | -0.7491 | -0.8221 | -0.38778 | -0.57878 | -1.0032 | 45.493 |
| 133 | PLWMicronesia | -0.3371 | 1.0706 | 0.9610 | 0.41264 | 1.35086 | 0.4497 | 45.444 |
| 134 | MHLMicronesia | -0.3502 | 0.9674 | 0.8661 | -0.79386 | 0.70754 | 0.7764 | 45.176 |
| 135 | LBNWestern Asia | -0.3701 | -0.5115 | -1.3409 | -0.36985 | -0.83317 | -1.0703 | 44.768 |
| 136 | BENWestern Africa | -0.3737 | 0.3053 | 0.2230 | -0.46582 | -0.38213 | -0.4010 | 44.694 |
| 137 | KHMSouth-eastern Asia | -0.3825 | -1.1699 | -0.1242 | -0.52708 | -1.20765 | -1.3319 | 44.514 |
| 138 | BIHSouthern Europe | -0.3830 | -0.1839 | -0.3792 | -0.27160 | -0.18542 | -0.4935 | 44.505 |
| 139 | EGYNorthern Africa | -0.3837 | -1.2974 | -1.5350 | -0.74632 | -0.79161 | -0.4541 | 44.491 |
| 140 | BLREastern Europe | -0.3902 | -1.1121 | 0.1829 | -0.93217 | -0.75146 | -0.1708 | 44.358 |
| 141 | RUSEastern Europe | -0.3949 | -0.7890 | -0.7669 | -0.49913 | -0.86914 | -0.8477 | 44.261 |
| 142 | PAKSouthern Asia | -0.4229 | -0.7428 | -2.3372 | -0.65150 | -0.88335 | -0.9727 | 43.687 |
| 143 | KIRMicronesia | -0.4328 | 0.7208 | 0.9610 | -0.70001 | 0.44165 | 0.2556 | 43.486 |
| 144 | ZMBEastern Africa | -0.4342 | -0.2793 | -0.2165 | -0.45583 | -0.36805 | -0.4224 | 43.455 |
| 145 | BGDSouthern Asia | -0.4396 | -0.7757 | -1.3506 | -0.77709 | -0.86759 | -1.0634 | 43.345 |
| 146 | ETHEastern Africa | -0.4475 | -1.3796 | -1.4445 | -0.98809 | -0.74761 | -0.4359 | 43.183 |
| 147 | GTMCentral America | -0.4485 | -0.1846 | -0.6594 | -0.31804 | -0.95738 | -0.8562 | 43.163 |
| 148 | BFAWestern Africa | -0.4542 | -0.0547 | -0.9084 | -0.41725 | -0.46951 | -0.2163 | 43.047 |
| 149 | DZANorthern Africa | -0.4665 | -0.8117 | -1.1073 | -0.93224 | -0.85519 | -0.6488 | 42.795 |
| 150 | MDAEastern Europe | -0.4701 | -0.0425 | -0.1852 | -0.23067 | -0.41832 | -1.1144 | 42.721 |
| 151 | XKXSouthern Europe | -0.4821 | 0.0637 | -0.3002 | -0.33476 | -0.21308 | -0.3086 | 42.475 |
| 152 | UKREastern Europe | -0.4895 | -0.0649 | -1.6304 | -0.56117 | -0.64076 | -1.0005 | 42.324 |
| 153 | MWIEastern Africa | -0.4972 | -0.1364 | -0.2615 | -0.72816 | -0.34418 | -0.8587 | 42.167 |
| 154 | PRYSouth America | -0.5000 | -0.0685 | 0.0838 | -0.14344 | -0.45258 | -0.8076 | 42.110 |
| 155 | BLZCentral America | -0.5118 | 0.3522 | 0.0176 | -0.47167 | -0.56918 | -0.1218 | 41.868 |
| 156 | LSOSouthern Africa | -0.5148 | -0.1153 | -0.2485 | -0.42685 | -0.15923 | 0.0052 | 41.807 |
| 157 | GMBWestern Africa | -0.5514 | -1.2412 | -0.4441 | -0.64377 | -0.96042 | -0.9173 | 41.057 |
| 158 | PSEWestern Asia | -0.5611 | -0.7954 | -1.7059 | -0.08943 | -0.77878 | -0.2844 | 40.859 |
| 159 | CIVWestern Africa | -0.6000 | -0.5446 | -0.8720 | -0.44698 | -0.67230 | -0.4694 | 40.062 |
| 160 | CMRMiddle Africa | -0.6026 | -1.0429 | -1.1540 | -0.74368 | -1.07925 | -1.1380 | 40.009 |
| 161 | STPMiddle Africa | -0.6089 | 0.2162 | 0.2512 | -0.72886 | -0.49428 | -0.0930 | 39.879 |
| 162 | NERWestern Africa | -0.6272 | -0.4421 | -0.9597 | -0.66787 | -0.56059 | -0.4218 | 39.506 |
| 163 | TLSSouth-eastern Asia | -0.6392 | 0.1560 | -0.1332 | -0.92639 | -1.03135 | -0.6378 | 39.261 |
| 164 | PNGMelanesia | -0.6648 | -0.0130 | -0.7832 | -0.44746 | -0.57838 | -0.9817 | 38.737 |
| 165 | UZBCentral Asia | -0.6745 | -1.6238 | -0.2164 | -1.40978 | -1.06360 | -1.2718 | 38.537 |
| 166 | MOZEastern Africa | -0.6853 | -0.4952 | -1.2684 | -0.66977 | -0.99721 | -0.9770 | 38.317 |
| 167 | NICCentral America | -0.6910 | -0.7943 | -0.1589 | -0.38577 | -0.90226 | -1.0921 | 38.201 |
| 168 | GABMiddle Africa | -0.7116 | -0.9217 | -0.5458 | -0.62801 | -0.56200 | -0.7552 | 37.779 |
| 169 | VUTMelanesia | -0.7172 | 0.4840 | 0.7100 | -0.33537 | 0.49559 | -0.1135 | 37.664 |
| 170 | DJIEastern Africa | -0.7621 | -1.2975 | -0.7369 | -0.73151 | -0.99533 | -0.7114 | 36.745 |
| 171 | KGZCentral Asia | -0.7841 | -0.1779 | -0.5549 | -0.43139 | -0.82334 | -1.1730 | 36.295 |
| 172 | MDGEastern Africa | -0.7876 | -0.5594 | -0.4799 | -0.78815 | -0.73984 | -0.7909 | 36.223 |
| 173 | NPLSouthern Asia | -0.8070 | -0.2475 | -0.9279 | -0.69198 | -0.58645 | -0.8441 | 35.825 |
| 174 | MRTWestern Africa | -0.8094 | -0.8809 | -0.9514 | -0.66100 | -0.88883 | -0.8326 | 35.777 |
| 175 | NGAWestern Africa | -0.8144 | -0.4911 | -1.7029 | -0.85499 | -0.90153 | -1.0835 | 35.674 |
| 176 | MLIWestern Africa | -0.8281 | -0.2728 | -1.5453 | -0.56751 | -0.74523 | -0.6355 | 35.393 |
| 177 | COGMiddle Africa | -0.8383 | -1.0883 | -0.7834 | -1.10548 | -1.11987 | -1.2675 | 35.185 |
| 178 | TJKCentral Asia | -0.8610 | -1.3667 | -0.7425 | -1.05997 | -1.12811 | -1.2035 | 34.721 |
| 179 | GINWestern Africa | -0.8924 | -0.8121 | -0.5839 | -0.85570 | -1.14390 | -1.0136 | 34.078 |
| 180 | ZWEEastern Africa | -0.8927 | -1.3598 | -0.9062 | -1.50426 | -1.43241 | -1.3090 | 34.072 |
| 181 | SLBMelanesia | -0.9085 | 0.1370 | 0.3428 | -0.94989 | -0.15385 | -0.4084 | 33.749 |
| 182 | AGOMiddle Africa | -0.9132 | -1.1460 | -0.4459 | -1.14281 | -1.28100 | -1.4881 | 33.653 |
| 183 | TKMCentral Asia | -0.9420 | -1.8280 | -0.2986 | -1.81898 | -1.44394 | -1.4654 | 33.061 |
| 184 | TGOWestern Africa | -0.9867 | -0.6943 | -0.2963 | -0.80448 | -0.78484 | -0.6672 | 32.147 |
| 185 | TUVPolynesia | -0.9919 | 0.6239 | 1.3242 | -0.58986 | 0.97726 | -0.0367 | 32.040 |
| 186 | SLEWestern Africa | -1.0092 | -0.3420 | -0.2798 | -0.90337 | -0.76836 | -0.8346 | 31.687 |
| 187 | MMRSouth-eastern Asia | -1.0361 | -0.9153 | -1.0413 | -0.90478 | -1.00897 | -0.8496 | 31.137 |
| 188 | VENSouth America | -1.0522 | -1.1766 | -1.2216 | -1.72604 | -2.25727 | -1.4174 | 30.808 |
| 189 | LBRWestern Africa | -1.0980 | -0.1092 | -0.4665 | -0.87201 | -0.80703 | -0.8323 | 29.869 |
| 190 | GNQMiddle Africa | -1.1060 | -1.8006 | -0.4284 | -1.45075 | -1.53444 | -1.6345 | 29.706 |
| 191 | BDIEastern Africa | -1.1141 | -1.4299 | -2.0985 | -0.89349 | -1.38855 | -1.3024 | 29.540 |
| 192 | IRQWestern Asia | -1.1748 | -0.9550 | -2.2441 | -0.98983 | -1.55504 | -1.3974 | 28.298 |
| 193 | TCDMiddle Africa | -1.2167 | -1.2264 | -1.3638 | -1.12896 | -1.39757 | -1.5028 | 27.439 |
| 194 | COMEastern Africa | -1.2598 | -0.5988 | -0.2564 | -1.22983 | -0.72565 | -0.8651 | 26.558 |
| 195 | ERIEastern Africa | -1.3151 | -2.3008 | -0.7838 | -1.96469 | -1.64575 | -1.3521 | 25.426 |
| 196 | SDNNorthern Africa | -1.3336 | -1.8263 | -2.1649 | -1.44953 | -1.46077 | -1.4924 | 25.047 |
| 197 | CODMiddle Africa | -1.3981 | -1.4081 | -2.2034 | -1.24027 | -1.53135 | -1.4194 | 23.727 |
| 198 | AFGSouthern Asia | -1.4009 | -1.1312 | -2.4900 | -1.40910 | -1.59739 | -1.5598 | 23.669 |
| 199 | PRKEastern Asia | -1.4896 | -2.1134 | -0.5022 | -2.14014 | -1.70909 | -1.4188 | 21.854 |
| 200 | GNBWestern Africa | -1.5362 | -0.8231 | -0.5278 | -1.29165 | -1.36872 | -1.5752 | 20.900 |
| 201 | SYRWestern Asia | -1.5420 | -2.0081 | -2.6077 | -1.63264 | -1.83961 | -1.5917 | 20.782 |
| 202 | CAFMiddle Africa | -1.6178 | -1.0072 | -1.7245 | -1.42524 | -1.68860 | -1.3057 | 19.230 |
| 203 | YEMWestern Asia | -1.6419 | -1.6891 | -2.6486 | -1.21868 | -1.59279 | -1.6070 | 18.737 |
| 204 | LBYNorthern Africa | -1.6878 | -1.2621 | -2.2818 | -2.08491 | -1.67365 | -1.5983 | 17.797 |
| 205 | HTICaribbean | -1.7737 | -0.7753 | -0.8878 | -1.27642 | -1.16235 | -1.4498 | 16.039 |
| 206 | SOMEastern Africa | -2.0737 | -1.7483 | -2.2846 | -2.08956 | -2.24649 | -1.7389 | 9.898 |
| 207 | SSDEastern Africa | -2.1024 | -1.7747 | -2.3578 | -1.79142 | -1.75940 | -1.7883 | 9.311 |
02In 2016
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Switzerland2.1087
- 2
Singapore2.0860
- 3
Norway1.9651
- 4
Netherlands1.9512
- 5
Luxembourg1.9185
Lowest
- 207
South Sudan-2.1024
- 206
Somalia-2.0737
- 205
Haiti-1.7737
- 204
Libya-1.6878
- 203
Yemen-1.6419
A higher value is the better result. The middle country reads 0.0225. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Norway1.8180
Lowest
Eritrea-2.3008
Middle country: 0.1051
Political Stability and Absence of Violence
Highest
Greenland1.7567
Lowest
Yemen-2.6486
Middle country: -0.0161
Regulatory Quality
Highest
Hong Kong2.19135
Lowest
North Korea-2.14014
Middle country: -0.06907
Rule of Law
Highest
Finland2.05231
Lowest
Venezuela-2.25727
Middle country: -0.15385
Control of Corruption
Highest
Switzerland2.2844
Lowest
South Sudan-1.7883
Middle country: -0.2163
Governance Score, Government Effectiveness (0–100)
Highest
Switzerland95.506
Lowest
South Sudan9.311
Middle country: 52.804
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −2countries joined / left
- 207values changed, of 207 in both
- 131 · 76rose · fell
- 0unchanged
Rose most
Saint Vincent and the Grenadines0.2920 → 0.5429+0.2510
Samoa0.6183 → 0.8305+0.2122
Argentina0.1440 → 0.3509+0.2070
Madagascar-0.9714 → -0.7876+0.1838
Maldives-0.2424 → -0.0695+0.1729
Fell most
Syria-1.2892 → -1.5420−0.2528
Kuwait0.2175 → 0.0058−0.2117
Macau1.1600 → 0.9734−0.1866
Turkmenistan-0.7822 → -0.9420−0.1599
Barbados1.0499 → 0.8912−0.1587
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. 4 countries share 1.4458. 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-2016-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 (2016). Government Effectiveness, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2016
0627 held
Other years
‹ The year before
Government Effectiveness, 2015209 countries
The year after ›
Government Effectiveness, 2017207 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, 2016: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2016?
Switzerland, at 2.1087, of the 207 countries in the file.
What year does Government Effectiveness, 2016 describe?
2016.
How many countries does Government Effectiveness, 2016 cover?
207.
Where can I download Government Effectiveness, 2016?
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, 2016 the newest?
No. The newest held here is Government Effectiveness, 2025.