Data for 2019
Government Effectiveness, 2019
Figures for 2019, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2019 covers 207 countries on 7 measures. Finland is highest, at 2.0983; South Sudan is lowest, at -2.1509. The middle country reads 0.0150. Against 2018, 207 values changed (107 up, 100 down), the same countries are covered.
Government Effectiveness · Data for 2019
HighestFinland
2.0983LowestSouth Sudan
-2.1509Shaded 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, 2019, 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 | 2.0983 | 1.7435 | 1.0015 | 1.9717 | 2.0974 | 2.1867 | 95.292 |
| 2 | SGPSouth-eastern Asia | 2.0798 | -0.0403 | 1.2483 | 2.1546 | 1.5275 | 2.1195 | 94.914 |
| 3 | CHEWestern Europe | 2.0753 | 1.5419 | 1.1856 | 1.7386 | 1.8910 | 2.3022 | 94.822 |
| 4 | NLDWestern Europe | 2.0672 | 1.6266 | 0.7082 | 1.8324 | 1.8338 | 1.9415 | 94.657 |
| 5 | LUXWestern Europe | 1.9997 | 1.5352 | 1.2980 | 1.7329 | 1.8276 | 2.2602 | 93.274 |
| 6 | DNKNorthern Europe | 1.9609 | 1.6898 | 0.8927 | 1.9116 | 1.9956 | 2.1656 | 92.480 |
| 7 | NORNorthern Europe | 1.9428 | 1.8398 | 1.0744 | 1.7391 | 2.0242 | 2.0631 | 92.109 |
| 8 | SWENorthern Europe | 1.8664 | 1.6445 | 0.9436 | 1.7448 | 1.8636 | 2.1342 | 90.547 |
| 9 | CANNorthern America | 1.8589 | 1.5314 | 0.9022 | 1.6683 | 1.6903 | 1.7964 | 90.392 |
| 10 | JPNEastern Asia | 1.8278 | 1.0551 | 1.0993 | 1.3946 | 1.5069 | 1.4344 | 89.756 |
| 11 | DEUWestern Europe | 1.8260 | 1.5032 | 0.7399 | 1.6365 | 1.6941 | 1.8793 | 89.720 |
| =12 | ANDSouthern Europe | 1.7953 | 0.9810 | 1.5585 | 1.3471 | 1.6424 | 1.1795 | 89.090 |
| =12 | MCOWestern Europe | 1.7953 | 0.9764 | 1.5585 | 1.3471 | 1.5666 | 1.8039 | 89.090 |
| 14 | NZLAustralia and New Zealand | 1.7456 | 1.6955 | 1.4049 | 1.9667 | 1.7855 | 2.1528 | 88.073 |
| 15 | AUTWestern Europe | 1.7277 | 1.4298 | 0.7990 | 1.5391 | 1.8077 | 1.6108 | 87.707 |
| 16 | LIEWestern Europe | 1.6575 | 1.3317 | 1.6552 | 1.6581 | 1.6451 | 2.0189 | 86.271 |
| 17 | AUSAustralia and New Zealand | 1.6526 | 1.4200 | 0.8437 | 1.8646 | 1.6279 | 1.7871 | 86.171 |
| 18 | ISLNorthern Europe | 1.6488 | 1.4074 | 1.5589 | 1.5564 | 1.7288 | 1.8247 | 86.092 |
| 19 | HKGEastern Asia | 1.5848 | 0.2878 | -0.1805 | 1.9895 | 1.3189 | 1.7394 | 84.781 |
| 20 | ISRWestern Asia | 1.5737 | 0.6020 | -0.4400 | 1.2754 | 0.9141 | 0.7996 | 84.555 |
| 21 | KOREastern Asia | 1.5445 | 0.8735 | 0.8279 | 0.9423 | 1.1129 | 0.6152 | 83.958 |
| 22 | USANorthern America | 1.5019 | 1.0154 | 0.0687 | 1.3412 | 1.1332 | 1.1736 | 83.086 |
| 23 | TWNEastern Asia | 1.4993 | 1.0339 | 0.9983 | 1.2961 | 1.1941 | 1.1519 | 83.033 |
| =24 | BMUNorthern America | 1.4492 | — | 0.9640 | 0.8715 | 0.8916 | 1.1795 | 82.006 |
| =24 | SMRSouthern Europe | 1.4492 | 1.1818 | 1.1925 | 0.8715 | 1.6424 | 1.1795 | 82.006 |
| 26 | FRAWestern Europe | 1.4144 | 1.1309 | 0.2072 | 1.4690 | 1.2005 | 1.3647 | 81.295 |
| 27 | GBRNorthern Europe | 1.3876 | 1.3035 | 0.5631 | 1.7154 | 1.4233 | 1.7738 | 80.746 |
| 28 | IRLNorthern Europe | 1.2828 | 1.3923 | 0.9284 | 1.5850 | 1.5151 | 1.5262 | 78.601 |
| 29 | BELWestern Europe | 1.2379 | 1.3796 | 0.3690 | 1.3055 | 1.4423 | 1.4943 | 77.681 |
| 30 | SVNSouthern Europe | 1.2356 | 1.0482 | 0.9351 | 0.9168 | 0.9359 | 0.8517 | 77.634 |
| 31 | ESTNorthern Europe | 1.2116 | 1.3379 | 0.8111 | 1.5577 | 1.4685 | 1.5267 | 77.143 |
| 32 | AREWestern Asia | 1.2098 | -1.0172 | 0.8231 | 1.0932 | 0.4118 | 1.0865 | 77.106 |
| 33 | CHLSouth America | 1.1067 | 1.0283 | 0.1818 | 1.1180 | 0.9107 | 1.1580 | 74.997 |
| 34 | ESPSouthern Europe | 1.1052 | 1.0622 | 0.2816 | 0.9867 | 1.0960 | 0.8270 | 74.965 |
| 35 | PRTSouthern Europe | 1.0984 | 1.2167 | 0.9915 | 1.0603 | 1.1206 | 0.8024 | 74.827 |
| 36 | MLTSouthern Europe | 1.0738 | 1.1303 | 0.9176 | 0.8940 | 1.0209 | 0.4148 | 74.324 |
| 37 | CZEEastern Europe | 1.0261 | 0.9243 | 1.0258 | 1.1500 | 1.1079 | 0.6150 | 73.346 |
| 38 | CYPWestern Asia | 1.0175 | 1.0833 | 0.7360 | 1.0560 | 0.8422 | 0.6807 | 73.171 |
| 39 | BRNSouth-eastern Asia | 1.0052 | -0.9271 | 1.0682 | 0.8544 | 0.3694 | 1.1806 | 72.919 |
| 40 | MUSEastern Africa | 0.9897 | 0.5920 | 0.9144 | 0.9793 | 0.9247 | 0.3254 | 72.601 |
| =41 | CYMCaribbean | 0.9752 | 0.5135 | 1.2978 | 1.0878 | 0.7878 | 0.6043 | 72.305 |
| =41 | MACEastern Asia | 0.9752 | -0.0999 | 1.1555 | 1.5203 | 0.9282 | 0.5737 | 72.305 |
| 43 | LTUNorthern Europe | 0.8789 | 1.0516 | 0.9686 | 1.0180 | 1.0622 | 0.7587 | 70.333 |
| 44 | MYSSouth-eastern Asia | 0.8644 | -0.0097 | 0.1355 | 0.7655 | 0.3505 | 0.4597 | 70.036 |
| 45 | FJIMelanesia | 0.8590 | -0.0195 | 0.6842 | 0.1414 | 0.1808 | 0.6821 | 69.926 |
| 46 | URYSouth America | 0.8409 | 1.2385 | 1.1553 | 0.6005 | 0.8814 | 1.3900 | 69.555 |
| 47 | LVANorthern Europe | 0.8342 | 0.8974 | 0.6847 | 1.0572 | 0.8729 | 0.7001 | 69.419 |
| 48 | QATWestern Asia | 0.8135 | -1.4043 | 0.8668 | 0.7278 | 0.4676 | 0.8767 | 68.995 |
| 49 | ABWCaribbean | 0.7877 | 1.4337 | 1.3449 | 0.9832 | 1.3014 | 1.1640 | 68.468 |
| =50 | ASMPolynesia | 0.7570 | 1.3289 | 1.2586 | -0.0796 | 1.3956 | 1.8039 | 67.837 |
| =50 | AIACaribbean | 0.7570 | — | 1.2530 | 0.8715 | 0.4289 | 1.1795 | 67.837 |
| =50 | GUMMicronesia | 0.7570 | 1.1828 | 0.9342 | -0.0796 | 1.4439 | 1.1795 | 67.837 |
| =50 | KNACaribbean | 0.7570 | 0.5520 | 0.6775 | 0.4693 | 0.6310 | 0.3294 | 67.837 |
| =50 | VIRCaribbean | 0.7570 | — | 0.9640 | 1.1093 | 1.1229 | 0.5552 | 67.837 |
| 55 | BRBCaribbean | 0.7207 | 1.0114 | 0.9615 | 0.3926 | 0.7586 | 1.1463 | 67.094 |
| 56 | POLEastern Europe | 0.6762 | 0.5881 | 0.6623 | 0.8540 | 0.5261 | 0.7242 | 66.185 |
| 57 | BHSCaribbean | 0.6657 | 0.6952 | 0.6976 | -0.0614 | 0.3363 | 1.2106 | 65.971 |
| 58 | WSMPolynesia | 0.5933 | 0.9296 | 1.1406 | -0.0056 | 1.2202 | 0.6227 | 64.487 |
| 59 | ITASouthern Europe | 0.5903 | 0.9976 | 0.3267 | 0.7677 | 0.5338 | 0.2909 | 64.427 |
| 60 | JAMCaribbean | 0.5835 | 0.5556 | 0.1669 | 0.1697 | -0.1772 | -0.0614 | 64.288 |
| 61 | BTNSouthern Asia | 0.5745 | 0.2451 | 1.1467 | -0.0685 | 0.6819 | 1.4626 | 64.104 |
| 62 | SYCEastern Africa | 0.5655 | 0.4063 | 0.6790 | 0.2877 | 0.4470 | 1.0729 | 63.919 |
| 63 | INDSouthern Asia | 0.5551 | 0.2341 | -0.5876 | -0.1325 | -0.0157 | -0.2210 | 63.706 |
| 64 | HUNEastern Europe | 0.5508 | 0.1860 | 0.7321 | 0.5441 | 0.3841 | 0.0963 | 63.618 |
| 65 | CHNEastern Asia | 0.5488 | -1.6072 | -0.1573 | -0.0734 | -0.5021 | -0.0532 | 63.577 |
| 66 | VCTCaribbean | 0.5454 | 0.7328 | 0.9163 | 0.2390 | 0.6789 | 0.7618 | 63.507 |
| 67 | SVKEastern Europe | 0.5389 | 0.9122 | 0.6642 | 0.8264 | 0.4087 | 0.2486 | 63.375 |
| 68 | HRVSouthern Europe | 0.5238 | 0.4940 | 0.7504 | 0.4598 | 0.3563 | 0.0256 | 63.066 |
| 69 | CPVWestern Africa | 0.5197 | 0.9071 | 0.8229 | -0.0377 | 0.7485 | 0.8820 | 62.982 |
| 70 | PANCentral America | 0.5022 | 0.5905 | 0.4008 | 0.3586 | -0.2338 | -0.5440 | 62.624 |
| 71 | BWASouthern Africa | 0.5016 | 0.3610 | 1.1380 | 0.4551 | 0.4579 | 0.8202 | 62.610 |
| 72 | TTOCaribbean | 0.4706 | 0.5394 | 0.0986 | -0.0812 | -0.1288 | -0.1990 | 61.975 |
| 73 | GRCSouthern Europe | 0.4385 | 0.8304 | 0.2748 | 0.4593 | 0.4168 | 0.3094 | 61.319 |
| 74 | CRICentral America | 0.4336 | 1.1704 | 0.6386 | 0.7006 | 0.5799 | 0.7249 | 61.219 |
| 75 | IDNSouth-eastern Asia | 0.4259 | 0.1549 | -0.5852 | 0.0912 | -0.1939 | -0.4310 | 61.062 |
| 76 | GEOWestern Asia | 0.3954 | 0.2139 | -0.1368 | 0.9257 | 0.2326 | 0.8451 | 60.436 |
| 77 | GRLNorthern America | 0.3642 | 1.4337 | 1.7622 | 1.5322 | 1.6439 | 1.1108 | 59.798 |
| 78 | ARGSouth America | 0.3063 | 0.6284 | 0.0577 | -0.4040 | -0.3169 | -0.0825 | 58.613 |
| 79 | LCACaribbean | 0.2955 | 0.7137 | 0.8539 | 0.3448 | 0.6791 | 0.4779 | 58.393 |
| 80 | ZAFSouthern Africa | 0.2893 | 0.5701 | -0.3394 | 0.1445 | -0.0793 | 0.0523 | 58.266 |
| 81 | MNESouthern Europe | 0.2877 | 0.1915 | 0.1896 | 0.3204 | 0.0964 | -0.0652 | 58.233 |
| 82 | NAMSouthern Africa | 0.2847 | 0.4459 | 0.5657 | 0.1506 | 0.2268 | 0.4601 | 58.172 |
| 83 | RWAEastern Africa | 0.2446 | -0.8431 | 0.1069 | 0.0960 | -0.1309 | 0.4505 | 57.350 |
| 84 | BHRWestern Asia | 0.2330 | -1.4238 | -0.6236 | 0.5051 | -0.0353 | -0.0893 | 57.113 |
| 85 | TURWestern Asia | 0.2160 | -0.9384 | -1.2030 | 0.0262 | -0.5677 | -0.1848 | 56.766 |
| 86 | SENWestern Africa | 0.2063 | 0.1422 | 0.0457 | -0.2299 | -0.1039 | 0.0149 | 56.565 |
| 87 | TONPolynesia | 0.1977 | 0.7104 | 1.0130 | -0.2652 | 0.3498 | -0.4327 | 56.390 |
| 88 | PHLSouth-eastern Asia | 0.1942 | -0.0640 | -1.0179 | 0.0958 | -0.6248 | -0.6121 | 56.319 |
| 89 | BGREastern Europe | 0.1589 | 0.2764 | 0.5578 | 0.5189 | -0.1197 | -0.1190 | 55.596 |
| 90 | THASouth-eastern Asia | 0.1568 | -0.7792 | -0.5943 | 0.1017 | -0.1710 | -0.3883 | 55.552 |
| 91 | OMNWestern Asia | 0.1509 | -0.9323 | 0.5004 | 0.5171 | 0.2558 | 0.1581 | 55.432 |
| 92 | SRBSouthern Europe | 0.1505 | -0.1123 | 0.0559 | 0.1232 | -0.0394 | -0.3661 | 55.424 |
| 93 | SAUWestern Asia | 0.1406 | -1.7086 | -0.5240 | 0.1427 | -0.1864 | 0.2066 | 55.221 |
| 94 | ALBSouthern Europe | 0.1158 | 0.1905 | 0.0045 | 0.1637 | -0.2774 | -0.5424 | 54.714 |
| 95 | TUNNorthern Africa | 0.1063 | 0.1908 | -0.5590 | -0.1444 | 0.0108 | -0.0637 | 54.519 |
| 96 | BRASouth America | 0.0854 | 0.3209 | -0.7214 | -0.0738 | -0.3608 | -0.3724 | 54.091 |
| 97 | PERSouth America | 0.0643 | 0.3791 | -0.0935 | 0.4327 | -0.4368 | -0.4900 | 53.659 |
| 98 | GHAWestern Africa | 0.0602 | 0.4319 | 0.0131 | -0.1859 | 0.0924 | -0.1049 | 53.576 |
| 99 | MEXCentral America | 0.0549 | 0.0146 | -0.9020 | 0.0463 | -0.8661 | -0.8924 | 53.467 |
| 100 | SURSouth America | 0.0354 | 0.2778 | 0.1344 | -0.6157 | -0.2276 | -0.2801 | 53.069 |
| 101 | COLSouth America | 0.0282 | 0.1263 | -0.9073 | 0.3029 | -0.4397 | -0.2722 | 52.921 |
| 102 | LKASouthern Asia | 0.0277 | -0.0685 | -0.1897 | -0.1428 | -0.0480 | -0.1647 | 52.911 |
| 103 | MKDSouthern Europe | 0.0159 | 0.0335 | 0.0152 | 0.2824 | -0.2692 | -0.4619 | 52.668 |
| 104 | GUYSouth America | 0.0150 | 0.1624 | -0.0656 | -0.5213 | -0.4332 | -0.2389 | 52.652 |
| 105 | MDVSouthern Asia | 0.0066 | -0.2627 | -0.0971 | -0.2516 | -0.4335 | -0.5141 | 52.479 |
| 106 | VNMSouth-eastern Asia | 0.0032 | -1.2032 | 0.0786 | -0.2646 | -0.2291 | -0.3615 | 52.409 |
| 107 | PLWMicronesia | -0.0072 | 1.0259 | 1.1477 | 0.4228 | 1.1623 | 0.4564 | 52.197 |
| 108 | ROUEastern Europe | -0.0214 | 0.5235 | 0.6431 | 0.4113 | 0.3811 | -0.1187 | 51.906 |
| 109 | KAZCentral Asia | -0.0332 | -1.0348 | -0.2282 | 0.1100 | -0.4296 | -0.2142 | 51.664 |
| 110 | FSMMicronesia | -0.0345 | 1.1055 | 1.0023 | -0.8596 | 0.3401 | 0.7811 | 51.637 |
| 111 | JORWestern Asia | -0.0508 | -0.6961 | -0.2977 | 0.1570 | 0.1105 | 0.0865 | 51.304 |
| 112 | NRUMicronesia | -0.0662 | 0.3413 | 0.7785 | -0.3431 | 0.2248 | 0.4564 | 50.988 |
| 113 | RUSEastern Europe | -0.0852 | -0.9310 | -0.4107 | -0.3742 | -0.8616 | -0.7769 | 50.601 |
| 114 | KWTWestern Asia | -0.0926 | -0.5548 | 0.2444 | 0.1275 | 0.0615 | -0.1379 | 50.449 |
| 115 | ECUSouth America | -0.0952 | -0.0305 | -0.2068 | -0.7172 | -0.6084 | -0.5262 | 50.395 |
| 116 | GRDCaribbean | -0.1020 | 0.4847 | 0.9163 | -0.1487 | 0.4156 | 0.3820 | 50.256 |
| 117 | MARNorthern Africa | -0.1082 | -0.6801 | -0.3930 | 0.0149 | -0.3057 | -0.4713 | 50.129 |
| 118 | AZEWestern Asia | -0.1293 | -1.5069 | -0.3452 | -0.1453 | -0.6646 | -0.7665 | 49.696 |
| 119 | EGYNorthern Africa | -0.1447 | -1.5544 | -1.2012 | -0.6822 | -0.6898 | -0.6610 | 49.382 |
| 120 | KENEastern Africa | -0.1577 | -0.4648 | -1.0969 | -0.3454 | -0.5449 | -0.8025 | 49.116 |
| 121 | ARMWestern Asia | -0.1606 | 0.2927 | 0.0678 | 0.2609 | -0.2220 | -0.0554 | 49.057 |
| 122 | BENWestern Africa | -0.1923 | 0.0340 | -0.1891 | -0.5089 | -0.4061 | -0.2317 | 48.408 |
| 123 | DOMCaribbean | -0.1962 | 0.1300 | 0.0552 | -0.0456 | -0.4172 | -0.8023 | 48.329 |
| 124 | MDAEastern Europe | -0.1991 | -0.0576 | -0.1534 | -0.0865 | -0.3706 | -0.7756 | 48.269 |
| 125 | MNGEastern Asia | -0.2175 | 0.2637 | 0.7172 | -0.0123 | -0.1917 | -0.6143 | 47.893 |
| 126 | CUBCaribbean | -0.2237 | -1.3231 | 0.6363 | -1.2443 | -0.6700 | -0.1436 | 47.765 |
| 127 | SLVCentral America | -0.2436 | 0.0956 | -0.2550 | 0.0099 | -0.7296 | -0.5204 | 47.357 |
| 128 | ATGCaribbean | -0.2814 | 0.5535 | 0.9163 | 0.5810 | 0.5939 | 0.2241 | 46.585 |
| 129 | KIRMicronesia | -0.2924 | 0.9947 | 1.1008 | -0.5230 | 0.7209 | 0.3546 | 46.358 |
| 130 | PRICaribbean | -0.2927 | 0.6127 | 0.0849 | 0.7887 | 0.5377 | 0.2808 | 46.353 |
| 131 | PRYSouth America | -0.3065 | -0.0242 | 0.0281 | -0.1305 | -0.3974 | -0.8773 | 46.069 |
| 132 | DZANorthern Africa | -0.3483 | -1.0394 | -1.0482 | -1.1655 | -0.8528 | -0.6285 | 45.215 |
| 133 | MHLMicronesia | -0.3695 | 0.9714 | 1.1728 | -0.7941 | 0.8962 | 0.3546 | 44.781 |
| 134 | BLREastern Europe | -0.3855 | -1.2523 | 0.3944 | -0.5743 | -0.8181 | 0.0155 | 44.453 |
| 135 | UKREastern Europe | -0.3873 | 0.1418 | -1.0342 | -0.2523 | -0.5849 | -0.7875 | 44.416 |
| 136 | BOLSouth America | -0.3884 | -0.3070 | -0.7502 | -0.9564 | -1.2082 | -0.8224 | 44.394 |
| 137 | KHMSouth-eastern Asia | -0.3918 | -1.4827 | -0.2397 | -0.6016 | -1.1014 | -1.3392 | 44.324 |
| 138 | PAKSouthern Asia | -0.3933 | -0.8144 | -1.9534 | -0.6255 | -0.7889 | -0.9721 | 44.293 |
| 139 | GMBWestern Africa | -0.4079 | -0.3374 | 0.0605 | -0.7029 | -0.4096 | -0.2985 | 43.995 |
| 140 | TLSSouth-eastern Asia | -0.4228 | 0.3729 | 0.2464 | -0.7912 | -0.7614 | -0.4356 | 43.690 |
| 141 | DMACaribbean | -0.4540 | 0.5234 | 1.0214 | 0.1266 | 0.6549 | 0.4991 | 43.051 |
| 142 | HNDCentral America | -0.4573 | -0.6905 | -0.8565 | -0.4557 | -1.0583 | -1.0580 | 42.982 |
| 143 | TZAEastern Africa | -0.4575 | -0.5705 | -0.5623 | -0.7043 | -0.5669 | -0.3033 | 42.979 |
| 144 | IRNSouthern Asia | -0.4600 | -1.4524 | -1.2559 | -1.3736 | -1.0238 | -0.9917 | 42.929 |
| 145 | BGDSouthern Asia | -0.4643 | -0.8430 | -1.0201 | -0.8833 | -0.9056 | -1.0981 | 42.839 |
| 146 | CIVWestern Africa | -0.4740 | -0.3733 | -1.0217 | -0.3180 | -0.5834 | -0.5285 | 42.642 |
| 147 | BLZCentral America | -0.4798 | 0.2299 | 0.1164 | -0.5808 | -0.5532 | -0.0754 | 42.524 |
| 148 | UGAEastern Africa | -0.4807 | -0.7965 | -0.7893 | -0.4702 | -0.6809 | -1.1167 | 42.505 |
| 149 | XKXSouthern Europe | -0.4862 | 0.0677 | -0.1020 | -0.4343 | -0.3241 | -0.3471 | 42.392 |
| 150 | STPMiddle Africa | -0.4869 | 0.2827 | 0.5233 | -0.8616 | -0.4725 | 0.1627 | 42.378 |
| 151 | ETHEastern Africa | -0.4973 | -1.0076 | -1.1842 | -0.8438 | -0.7266 | -0.4224 | 42.165 |
| 152 | SWZSouthern Africa | -0.5119 | -1.3232 | -0.3162 | -0.4642 | -0.5350 | -0.3281 | 41.866 |
| 153 | UZBCentral Asia | -0.5551 | -1.5425 | -0.2271 | -1.0172 | -0.9570 | -1.1223 | 40.981 |
| 154 | LSOSouthern Africa | -0.5630 | -0.0489 | -0.2618 | -0.5284 | -0.3058 | -0.0048 | 40.821 |
| 155 | MWIEastern Africa | -0.5725 | -0.1923 | -0.2856 | -0.6516 | -0.3161 | -0.8074 | 40.625 |
| 156 | KGZCentral Asia | -0.5744 | -0.2639 | -0.2288 | -0.3873 | -0.7468 | -0.9852 | 40.587 |
| 157 | TUVPolynesia | -0.5841 | 1.1994 | 1.1477 | -0.5846 | 0.9119 | 0.3944 | 40.387 |
| 158 | PNGMelanesia | -0.5857 | 0.0398 | -0.8508 | -0.4882 | -0.6804 | -0.9836 | 40.356 |
| 159 | ZMBEastern Africa | -0.5902 | -0.4535 | -0.3692 | -0.4995 | -0.5562 | -0.6489 | 40.263 |
| 160 | BFAWestern Africa | -0.6099 | -0.0602 | -1.1990 | -0.4795 | -0.4082 | -0.1969 | 39.860 |
| 161 | GTMCentral America | -0.6203 | -0.2818 | -0.7074 | -0.3643 | -0.9950 | -1.0043 | 39.647 |
| 162 | MOZEastern Africa | -0.6606 | -0.5784 | -0.8286 | -0.6887 | -0.9562 | -0.8967 | 38.822 |
| 163 | LBNWestern Asia | -0.6844 | -0.5034 | -1.3579 | -0.5012 | -0.8567 | -1.2294 | 38.335 |
| 164 | GINWestern Africa | -0.6940 | -0.7955 | -0.8580 | -0.8137 | -1.1041 | -0.9260 | 38.139 |
| 165 | VUTMelanesia | -0.6963 | 0.6598 | 1.0390 | -0.3620 | 0.4417 | -0.1818 | 38.092 |
| 166 | BIHSouthern Europe | -0.7008 | -0.3441 | -0.3109 | -0.3214 | -0.3630 | -0.6409 | 37.999 |
| 167 | DJIEastern Africa | -0.7269 | -1.3362 | -0.4190 | -0.7852 | -1.0108 | -0.9278 | 37.466 |
| 168 | NERWestern Africa | -0.7326 | -0.5719 | -1.2046 | -0.6720 | -0.5234 | -0.4638 | 37.349 |
| 169 | CMRMiddle Africa | -0.7341 | -1.2358 | -1.6151 | -0.8078 | -1.1650 | -1.1431 | 37.317 |
| 170 | NICCentral America | -0.7406 | -1.1999 | -0.9377 | -0.6190 | -1.3162 | -1.2032 | 37.185 |
| 171 | LAOSouth-eastern Asia | -0.7443 | -1.6687 | 0.3068 | -0.7323 | -0.9298 | -1.1070 | 37.110 |
| 172 | PSEWestern Asia | -0.7639 | -0.7304 | -1.5523 | -0.0850 | -0.8387 | -0.3200 | 36.707 |
| 173 | MRTWestern Africa | -0.7751 | -0.8424 | -0.6619 | -0.7248 | -0.7720 | -0.9809 | 36.478 |
| 174 | GABMiddle Africa | -0.7871 | -0.9252 | -0.2929 | -0.8639 | -0.8381 | -0.8577 | 36.233 |
| 175 | TJKCentral Asia | -0.8127 | -1.6628 | -0.4445 | -0.8258 | -1.2842 | -1.2810 | 35.710 |
| 176 | MDGEastern Africa | -0.8216 | -0.4123 | -0.5538 | -0.8249 | -0.8438 | -0.9321 | 35.527 |
| 177 | TGOWestern Africa | -0.8421 | -0.7178 | -0.8710 | -0.6456 | -0.6810 | -0.7332 | 35.107 |
| 178 | NGAWestern Africa | -0.8570 | -0.5410 | -1.9641 | -0.8802 | -0.8261 | -1.1468 | 34.803 |
| 179 | NPLSouthern Asia | -0.8590 | -0.1330 | -0.4509 | -0.6047 | -0.4161 | -0.7349 | 34.761 |
| 180 | AGOMiddle Africa | -0.8918 | -0.8095 | -0.4342 | -0.9655 | -1.0299 | -1.0041 | 34.091 |
| 181 | TKMCentral Asia | -0.9643 | -2.1094 | -0.2508 | -1.7811 | -1.5605 | -1.3730 | 32.606 |
| 182 | SLEWestern Africa | -0.9743 | -0.2888 | -0.1822 | -0.8793 | -0.7410 | -0.5001 | 32.400 |
| 183 | SLBMelanesia | -0.9929 | 0.3555 | 0.3949 | -0.7814 | -0.0197 | -0.0010 | 32.021 |
| 184 | MLIWestern Africa | -0.9933 | -0.4393 | -2.0477 | -0.6541 | -0.7683 | -0.7642 | 32.012 |
| 185 | COGMiddle Africa | -0.9953 | -1.2303 | -0.6249 | -1.2522 | -1.1901 | -1.4929 | 31.972 |
| 186 | ZWEEastern Africa | -1.0613 | -1.2153 | -0.9839 | -1.3261 | -1.2816 | -1.2962 | 30.621 |
| 187 | BDIEastern Africa | -1.0616 | -1.6581 | -1.6587 | -0.9329 | -1.3524 | -1.4737 | 30.615 |
| 188 | GNQMiddle Africa | -1.1127 | -1.7685 | -0.3697 | -1.4679 | -1.5630 | -1.5199 | 29.568 |
| 189 | MMRSouth-eastern Asia | -1.1766 | -0.9181 | -1.3698 | -0.8772 | -1.1548 | -0.7615 | 28.259 |
| 190 | LBRWestern Africa | -1.1890 | -0.1321 | -0.2625 | -0.9409 | -0.8597 | -0.9776 | 28.007 |
| 191 | IRQWestern Asia | -1.1983 | -0.8140 | -2.2326 | -1.1929 | -1.4021 | -1.4456 | 27.817 |
| 192 | COMEastern Africa | -1.2514 | -1.0833 | -0.4610 | -1.2272 | -0.9870 | -1.2688 | 26.729 |
| 193 | TCDMiddle Africa | -1.2987 | -1.2924 | -1.4765 | -1.1337 | -1.3191 | -1.4778 | 25.761 |
| 194 | GNBWestern Africa | -1.3591 | -0.5136 | -0.4705 | -1.2822 | -1.1403 | -1.5264 | 24.525 |
| 195 | PRKEastern Asia | -1.3702 | -2.0620 | -0.2537 | -2.0680 | -1.6802 | -1.5769 | 24.297 |
| 196 | SDNNorthern Africa | -1.4721 | -1.6827 | -1.6827 | -1.5691 | -1.3761 | -1.4992 | 22.211 |
| 197 | ERIEastern Africa | -1.5246 | -2.2245 | -0.9989 | -2.0093 | -1.6838 | -1.4231 | 21.137 |
| 198 | VENSouth America | -1.5411 | -1.5933 | -1.5417 | -2.1184 | -2.3183 | -1.5969 | 20.800 |
| 199 | CODMiddle Africa | -1.6109 | -1.2329 | -1.6765 | -1.3876 | -1.6651 | -1.5579 | 19.372 |
| 200 | LBYNorthern Africa | -1.6427 | -1.1899 | -2.2657 | -2.0724 | -1.6148 | -1.5495 | 18.720 |
| 201 | CAFMiddle Africa | -1.6481 | -0.9773 | -1.8563 | -1.3663 | -1.5900 | -1.1994 | 18.610 |
| 202 | AFGSouthern Asia | -1.6556 | -1.0370 | -2.5978 | -1.3150 | -1.6829 | -1.4958 | 18.457 |
| 203 | SYRWestern Asia | -1.6749 | -1.9723 | -2.4747 | -1.6077 | -1.8253 | -1.6582 | 18.061 |
| 204 | HTICaribbean | -1.7753 | -0.8062 | -0.9511 | -1.1995 | -1.1159 | -1.4607 | 16.005 |
| 205 | YEMWestern Asia | -1.9477 | -1.7089 | -2.6208 | -1.4592 | -1.7066 | -1.7395 | 12.478 |
| 206 | SOMEastern Africa | -2.0979 | -1.5743 | -2.0771 | -1.9857 | -2.2808 | -1.6361 | 9.403 |
| 207 | SSDEastern Africa | -2.1509 | -1.9234 | -2.4067 | -1.9238 | -1.8847 | -1.8825 | 8.319 |
02In 2019
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Finland2.0983
- 2
Singapore2.0798
- 3
Switzerland2.0753
- 4
Netherlands2.0672
- 5
Luxembourg1.9997
Lowest
- 207
South Sudan-2.1509
- 206
Somalia-2.0979
- 205
Yemen-1.9477
- 204
Haiti-1.7753
- 203
Syria-1.6749
A higher value is the better result. The middle country reads 0.0150. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Norway1.8398
Lowest
Eritrea-2.2245
Middle country: 0.1110
Political Stability and Absence of Violence
Highest
Greenland1.7622
Lowest
Yemen-2.6208
Middle country: 0.0577
Regulatory Quality
Highest
Singapore2.1546
Lowest
Venezuela-2.1184
Middle country: -0.0734
Rule of Law
Highest
Finland2.0974
Lowest
Venezuela-2.3183
Middle country: -0.1772
Control of Corruption
Highest
Switzerland2.3022
Lowest
South Sudan-1.8825
Middle country: -0.1190
Governance Score, Government Effectiveness (0–100)
Highest
Finland95.292
Lowest
South Sudan8.319
Middle country: 52.652
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 107 · 100rose · fell
- 0unchanged
Rose most
Fiji0.4424 → 0.8590+0.4167
Maldives-0.3086 → 0.0066+0.3152
Egypt-0.4002 → -0.1447+0.2555
Timor-Leste-0.6617 → -0.4228+0.2389
Brazil-0.1412 → 0.0854+0.2266
Fell most
Nauru0.2579 → -0.0662−0.3241
Vanuatu-0.4443 → -0.6963−0.2520
Samoa0.8310 → 0.5933−0.2377
Kuwait0.1237 → -0.0926−0.2163
Burkina Faso-0.4172 → -0.6099−0.1927
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 0.7570. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
3 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
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-2019-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 (2019). Government Effectiveness, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2019
0627 held
Other years
‹ The year before
Government Effectiveness, 2018207 countries
The year after ›
Government Effectiveness, 2020207 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, 2019: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2019?
Finland, at 2.0983, of the 207 countries in the file.
What year does Government Effectiveness, 2019 describe?
2019.
How many countries does Government Effectiveness, 2019 cover?
207.
Where can I download Government Effectiveness, 2019?
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, 2019 the newest?
No. The newest held here is Government Effectiveness, 2025.