Data for 2017
Government Effectiveness, 2017
Figures for 2017, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2017 covers 207 countries on 7 measures. Switzerland is highest, at 2.112534; South Sudan is lowest, at -2.186455. The middle country reads 0.015782. Against 2016, 207 values changed (87 up, 120 down), the same countries are covered.
Government Effectiveness · Data for 2017
HighestSwitzerland
2.112534LowestSouth Sudan
-2.186455Shaded 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, 2017, 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 | 2.112534 | 1.5596 | 1.15494 | 1.8968 | 1.8727 | 2.303869 | 95.5841 |
| 2 | FINNorthern Europe | 2.070897 | 1.7013 | 1.15006 | 1.8415 | 2.0806 | 2.181667 | 94.7318 |
| 3 | SGPSouth-eastern Asia | 2.060542 | 0.0427 | 1.36802 | 2.1073 | 1.5008 | 2.113972 | 94.5199 |
| 4 | NORNorthern Europe | 2.054704 | 1.8280 | 1.10826 | 1.8027 | 2.0363 | 2.170094 | 94.4004 |
| 5 | NLDWestern Europe | 2.020179 | 1.6341 | 0.78152 | 1.9402 | 1.8528 | 1.820671 | 93.6937 |
| 6 | LUXWestern Europe | 1.969242 | 1.5549 | 1.26624 | 1.6356 | 1.7791 | 2.149725 | 92.6511 |
| 7 | CANNorthern America | 1.957381 | 1.5681 | 1.00718 | 1.8454 | 1.7200 | 1.883468 | 92.4083 |
| 8 | DNKNorthern Europe | 1.857331 | 1.6231 | 0.90967 | 1.7872 | 1.9156 | 2.195956 | 90.3605 |
| 9 | SWENorthern Europe | 1.857330 | 1.6577 | 0.86527 | 1.7129 | 1.8796 | 2.115115 | 90.3604 |
| 10 | NZLAustralia and New Zealand | 1.837719 | 1.7241 | 1.50049 | 2.0543 | 1.8236 | 2.169384 | 89.9590 |
| 11 | DEUWestern Europe | 1.809800 | 1.4892 | 0.71728 | 1.6590 | 1.6766 | 1.825285 | 89.3876 |
| =12 | ANDSouthern Europe | 1.791233 | 1.2850 | 1.32430 | 1.3403 | 1.6129 | 1.170415 | 89.0075 |
| =12 | MCOWestern Europe | 1.791233 | 0.7214 | 1.55499 | 1.3403 | 1.6129 | 1.794803 | 89.0075 |
| 14 | HKGEastern Asia | 1.718658 | 0.5371 | 0.67109 | 2.1517 | 1.5115 | 1.702437 | 87.5220 |
| 15 | JPNEastern Asia | 1.710623 | 1.1532 | 1.14766 | 1.3959 | 1.4926 | 1.478186 | 87.3576 |
| 16 | LIEWestern Europe | 1.655336 | 1.3650 | 1.51437 | 1.6559 | 1.6324 | 2.015055 | 86.2259 |
| 17 | AUSAustralia and New Zealand | 1.646067 | 1.5364 | 0.78514 | 1.8392 | 1.6279 | 1.794167 | 86.0362 |
| 18 | AUTWestern Europe | 1.629694 | 1.4401 | 0.94101 | 1.4301 | 1.7871 | 1.572273 | 85.7011 |
| 19 | ISLNorthern Europe | 1.602085 | 1.4223 | 1.24173 | 1.4765 | 1.6524 | 1.868846 | 85.1360 |
| 20 | GBRNorthern Europe | 1.550651 | 1.4143 | 0.44558 | 1.6515 | 1.5967 | 1.820870 | 84.0832 |
| 21 | USANorthern America | 1.548973 | 1.0757 | 0.13228 | 1.4813 | 1.3334 | 1.305578 | 84.0488 |
| 22 | ISRWestern Asia | 1.535601 | 0.5516 | -0.44691 | 1.2401 | 0.9674 | 0.807006 | 83.7751 |
| =23 | BMUNorthern America | 1.445124 | 1.0268 | 0.80605 | 0.8647 | 0.8921 | 1.170415 | 81.9232 |
| =23 | SMRSouthern Europe | 1.445124 | 1.1917 | 1.32430 | 0.8647 | 1.6754 | 1.170415 | 81.9232 |
| 25 | IRLNorthern Europe | 1.431493 | 1.3976 | 0.92870 | 1.5740 | 1.5186 | 1.563538 | 81.6442 |
| 26 | FRAWestern Europe | 1.338359 | 1.1643 | 0.23856 | 1.2581 | 1.2640 | 1.359351 | 79.7379 |
| 27 | TWNEastern Asia | 1.301013 | 1.0258 | 1.00003 | 1.2625 | 1.0700 | 1.114182 | 78.9735 |
| 28 | BELWestern Europe | 1.297555 | 1.3917 | 0.36307 | 1.3038 | 1.3736 | 1.441238 | 78.9027 |
| 29 | PRTSouthern Europe | 1.235180 | 1.3049 | 1.05073 | 0.9894 | 1.1860 | 0.824239 | 77.6260 |
| 30 | SVNSouthern Europe | 1.201628 | 0.9129 | 0.92931 | 0.6581 | 0.7500 | 0.782462 | 76.9392 |
| 31 | KOREastern Asia | 1.196252 | 0.8523 | 0.60073 | 0.9630 | 1.0250 | 0.430172 | 76.8292 |
| 32 | AREWestern Asia | 1.175758 | -0.8850 | 0.73131 | 1.0541 | 0.3661 | 1.073911 | 76.4097 |
| 33 | MUSEastern Africa | 1.165477 | 0.7796 | 0.99286 | 1.0744 | 0.9525 | 0.278719 | 76.1992 |
| 34 | MACEastern Asia | 1.160492 | 0.2089 | 1.31296 | 1.5969 | 0.9261 | 0.569811 | 76.0972 |
| 35 | ESTNorthern Europe | 1.134813 | 1.2018 | 0.83415 | 1.5807 | 1.3799 | 1.266663 | 75.5716 |
| 36 | MLTSouthern Europe | 1.132991 | 1.1205 | 1.06795 | 1.2496 | 1.1343 | 0.793207 | 75.5343 |
| 37 | CYPWestern Asia | 1.075110 | 1.0422 | 0.66626 | 0.9381 | 0.9217 | 0.817870 | 74.3496 |
| 38 | CZEEastern Europe | 1.071188 | 0.8516 | 1.01959 | 1.1452 | 1.1304 | 0.746395 | 74.2693 |
| 39 | CHLSouth America | 1.036327 | 1.0821 | 0.59109 | 1.2610 | 0.9801 | 1.113771 | 73.5558 |
| 40 | ESPSouthern Europe | 1.017799 | 1.0530 | 0.30559 | 0.9354 | 1.0498 | 0.605832 | 73.1765 |
| 41 | CYMCaribbean | 0.973023 | 0.6629 | 0.98903 | 0.9923 | 0.7880 | 0.600476 | 72.2600 |
| 42 | BRNSouth-eastern Asia | 0.944256 | -0.8859 | 1.04980 | 0.8454 | 0.4063 | 1.213627 | 71.6712 |
| 43 | BRBCaribbean | 0.890972 | 0.9896 | 0.82391 | 0.4178 | 0.9651 | 1.110425 | 70.5806 |
| 44 | QATWestern Asia | 0.837592 | -1.2113 | 0.83200 | 0.5175 | 0.4469 | 0.744251 | 69.4879 |
| 45 | WSMPolynesia | 0.830074 | 0.5036 | 1.06187 | 0.0695 | 1.0238 | 0.616450 | 69.3341 |
| 46 | MYSSouth-eastern Asia | 0.807009 | -0.3985 | -0.02545 | 0.7917 | 0.1597 | 0.070772 | 68.8620 |
| 47 | LTUNorthern Europe | 0.779194 | 0.8731 | 0.88107 | 1.1156 | 0.8782 | 0.666825 | 68.2926 |
| =48 | ASMPolynesia | 0.752908 | 1.0268 | 1.25011 | -0.0865 | 1.3548 | 1.794803 | 67.7546 |
| =48 | AIACaribbean | 0.752908 | 1.0268 | 1.24870 | 0.8647 | -0.0333 | 1.170415 | 67.7546 |
| =48 | GUMMicronesia | 0.752908 | 0.8093 | 0.80605 | -0.0865 | 1.3548 | 1.170415 | 67.7546 |
| =48 | KNACaribbean | 0.752908 | 0.7766 | 0.67421 | 0.4770 | 0.8419 | 0.471912 | 67.7546 |
| =48 | VIRCaribbean | 0.752908 | 0.8093 | 0.80605 | 0.8647 | 0.6608 | 0.546028 | 67.7546 |
| 53 | LVANorthern Europe | 0.683115 | 0.6957 | 0.67874 | 1.0240 | 0.6934 | 0.616447 | 66.3260 |
| 54 | URYSouth America | 0.682565 | 1.2160 | 1.11216 | 0.6811 | 0.8765 | 1.347770 | 66.3148 |
| 55 | BHSCaribbean | 0.664069 | 0.6043 | 0.81513 | 0.0445 | 0.3381 | 1.076285 | 65.9362 |
| 56 | POLEastern Europe | 0.640470 | 0.6837 | 0.58569 | 0.7019 | 0.6296 | 0.844740 | 65.4532 |
| 57 | SVKEastern Europe | 0.638481 | 0.8343 | 0.84645 | 0.8124 | 0.3064 | 0.207931 | 65.4125 |
| 58 | SYCEastern Africa | 0.621828 | 0.3321 | 0.79181 | 0.1618 | 0.2803 | 0.724452 | 65.0716 |
| 59 | HUNEastern Europe | 0.617256 | 0.3363 | 0.73601 | 0.5680 | 0.4907 | 0.165369 | 64.9780 |
| 60 | ABWCaribbean | 0.598085 | 1.4128 | 1.22451 | 1.2945 | 1.3016 | 1.160175 | 64.5856 |
| 61 | GEOWestern Asia | 0.592882 | 0.2576 | -0.11621 | 1.0379 | 0.2531 | 0.842595 | 64.4791 |
| 62 | VCTCaribbean | 0.542480 | 0.6718 | 0.79357 | 0.2081 | 0.6212 | 0.703346 | 63.4474 |
| 63 | JAMCaribbean | 0.535470 | 0.6481 | 0.12287 | 0.1366 | -0.0828 | -0.160581 | 63.3040 |
| 64 | BTNSouthern Asia | 0.529282 | 0.1182 | 1.09851 | -0.1298 | 0.6449 | 1.449175 | 63.1773 |
| 65 | BWASouthern Africa | 0.516352 | 0.3146 | 1.00439 | 0.5530 | 0.4228 | 0.780217 | 62.9126 |
| 66 | CHNEastern Asia | 0.514629 | -1.5225 | -0.22466 | -0.0648 | -0.4891 | -0.050858 | 62.8774 |
| 67 | HRVSouthern Europe | 0.496531 | 0.4820 | 0.63330 | 0.3056 | 0.3950 | 0.029246 | 62.5069 |
| 68 | TTOCaribbean | 0.494364 | 0.5656 | 0.06925 | 0.0019 | 0.0024 | -0.256705 | 62.4626 |
| 69 | CPVWestern Africa | 0.489944 | 0.8438 | 0.70380 | -0.1189 | 0.6973 | 0.802260 | 62.3721 |
| 70 | ITASouthern Europe | 0.462072 | 1.0126 | 0.26491 | 0.7121 | 0.4578 | 0.205389 | 61.8016 |
| 71 | CRICentral America | 0.434836 | 1.1491 | 0.74825 | 0.5819 | 0.5331 | 0.587167 | 61.2441 |
| 72 | INDSouthern Asia | 0.424410 | 0.3721 | -0.56309 | -0.2319 | -0.0319 | -0.225380 | 61.0307 |
| 73 | PANCentral America | 0.412936 | 0.5110 | 0.46483 | 0.3545 | -0.0869 | -0.558372 | 60.7959 |
| 74 | GRLNorthern America | 0.360277 | 1.4341 | 1.75678 | 1.5284 | 1.6441 | 1.104986 | 59.7180 |
| 75 | RWAEastern Africa | 0.358460 | -0.9070 | 0.09320 | 0.1622 | -0.1338 | 0.504096 | 59.6808 |
| 76 | TURWestern Asia | 0.357876 | -0.7680 | -1.70590 | 0.1111 | -0.5761 | -0.093792 | 59.6689 |
| 77 | ZAFSouthern Africa | 0.344400 | 0.6061 | -0.38810 | 0.2504 | 0.0158 | -0.063436 | 59.3931 |
| 78 | MNESouthern Europe | 0.343692 | 0.2066 | 0.05179 | 0.3612 | -0.0694 | -0.140359 | 59.3786 |
| 79 | ARGSouth America | 0.310481 | 0.6015 | 0.23269 | -0.0842 | -0.1239 | -0.176864 | 58.6988 |
| 80 | GRCSouthern Europe | 0.298240 | 0.7528 | 0.00543 | 0.2171 | 0.3124 | 0.155847 | 58.4482 |
| 81 | IDNSouth-eastern Asia | 0.275375 | 0.1040 | -0.57371 | 0.0703 | -0.3158 | -0.379666 | 57.9802 |
| 82 | ALBSouthern Europe | 0.273244 | 0.1736 | 0.15811 | 0.1152 | -0.2066 | -0.591377 | 57.9366 |
| 83 | NAMSouthern Africa | 0.272728 | 0.4607 | 0.60827 | 0.1124 | 0.2661 | 0.371751 | 57.9260 |
| 84 | BHRWestern Asia | 0.248994 | -1.3497 | -1.02533 | 0.4785 | -0.0426 | -0.148199 | 57.4402 |
| 85 | JORWestern Asia | 0.219288 | -0.6580 | -0.46270 | 0.1555 | 0.1727 | 0.177435 | 56.8322 |
| 86 | PHLSouth-eastern Asia | 0.214649 | 0.0041 | -1.27609 | 0.1598 | -0.5647 | -0.636086 | 56.7372 |
| 87 | LCACaribbean | 0.191421 | 0.8416 | 0.85056 | 0.2849 | 0.7411 | 0.505213 | 56.2618 |
| 88 | SRBSouthern Europe | 0.178071 | 0.0259 | 0.11014 | 0.0636 | -0.0679 | -0.436554 | 55.9886 |
| 89 | GHAWestern Africa | 0.145934 | 0.5263 | 0.07010 | -0.1547 | 0.2521 | -0.275102 | 55.3307 |
| 90 | THASouth-eastern Asia | 0.133881 | -0.9032 | -0.98408 | 0.2032 | -0.2973 | -0.372978 | 55.0840 |
| 91 | FJIMelanesia | 0.125277 | -0.2376 | 0.38113 | -0.2162 | -0.2481 | 0.344698 | 54.9079 |
| 92 | TUNNorthern Africa | 0.098945 | 0.1659 | -0.74920 | -0.1549 | -0.0546 | -0.047751 | 54.3690 |
| 93 | MEXCentral America | 0.092770 | -0.0828 | -1.03734 | 0.2289 | -0.7121 | -0.949482 | 54.2426 |
| 94 | LKASouthern Asia | 0.080751 | -0.1580 | -0.19027 | -0.0894 | -0.0782 | -0.307208 | 53.9965 |
| 95 | SAUWestern Asia | 0.077324 | -1.7603 | -0.63232 | 0.0892 | -0.3246 | 0.104183 | 53.9264 |
| 96 | OMNWestern Asia | 0.072109 | -0.8473 | 0.52967 | 0.7002 | 0.1983 | -0.023565 | 53.8197 |
| 97 | BGREastern Europe | 0.067870 | 0.2324 | 0.39059 | 0.5761 | -0.2048 | -0.313909 | 53.7329 |
| 98 | TONPolynesia | 0.056942 | 0.3478 | 0.80773 | -0.2979 | 0.1794 | -0.232631 | 53.5092 |
| 99 | SURSouth America | 0.051165 | 0.1856 | 0.17615 | -0.6323 | -0.2047 | -0.192039 | 53.3910 |
| 100 | SENWestern Africa | 0.043624 | 0.1553 | -0.15626 | -0.2081 | -0.1263 | -0.029002 | 53.2366 |
| 101 | GRDCaribbean | 0.040680 | 0.5548 | 0.91293 | -0.0520 | 0.5792 | 0.454627 | 53.1764 |
| 102 | FSMMicronesia | 0.036438 | 0.8734 | 1.06187 | -0.6935 | 0.2585 | 0.774846 | 53.0895 |
| 103 | VNMSouth-eastern Asia | 0.035890 | -1.2992 | 0.13464 | -0.2697 | -0.2484 | -0.423018 | 53.0783 |
| 104 | ROUEastern Europe | 0.015782 | 0.5233 | 0.13460 | 0.4076 | 0.4176 | -0.053477 | 52.6667 |
| 105 | KWTWestern Asia | 0.001757 | -0.5527 | -0.00813 | -0.0154 | -0.0474 | -0.398003 | 52.3797 |
| 106 | MKDSouthern Europe | -0.018663 | -0.1832 | -0.25872 | 0.3410 | -0.3059 | -0.294641 | 51.9617 |
| 107 | PERSouth America | -0.023943 | 0.3417 | -0.22311 | 0.3234 | -0.3596 | -0.592236 | 51.8536 |
| 108 | COLSouth America | -0.026350 | 0.0695 | -0.80172 | 0.2276 | -0.3351 | -0.409640 | 51.8044 |
| 109 | GUYSouth America | -0.032245 | 0.0902 | -0.01603 | -0.3523 | -0.3993 | -0.475628 | 51.6837 |
| 110 | BRASouth America | -0.041830 | 0.5214 | -0.59497 | -0.0769 | -0.2648 | -0.466816 | 51.4875 |
| 111 | NRUMicronesia | -0.070035 | 0.7158 | 0.82278 | -0.5630 | 0.3804 | 0.447528 | 50.9102 |
| 112 | ARMWestern Asia | -0.070577 | -0.3313 | -0.29599 | 0.2681 | -0.2729 | -0.604312 | 50.8991 |
| 113 | ECUSouth America | -0.076586 | -0.2342 | -0.11946 | -0.9715 | -0.8456 | -0.773288 | 50.7761 |
| 114 | KAZCentral Asia | -0.111474 | -1.0014 | -0.06453 | 0.1323 | -0.4517 | -0.763559 | 50.0620 |
| 115 | CUBCaribbean | -0.135638 | -1.4993 | 0.55641 | -1.1643 | -0.7941 | 0.039870 | 49.5674 |
| 116 | KENEastern Africa | -0.175659 | -0.3631 | -1.15734 | -0.2051 | -0.5270 | -0.903209 | 48.7482 |
| 117 | DOMCaribbean | -0.194810 | 0.0886 | 0.09110 | -0.0486 | -0.4919 | -0.800392 | 48.3563 |
| 118 | MARNorthern Africa | -0.195894 | -0.6076 | -0.50551 | 0.0317 | -0.3603 | -0.380418 | 48.3340 |
| 119 | SLVCentral America | -0.208470 | 0.0701 | -0.37722 | 0.0053 | -0.8360 | -0.526756 | 48.0766 |
| 120 | BOLSouth America | -0.221506 | -0.0663 | -0.20888 | -0.8410 | -1.2118 | -0.812928 | 47.8098 |
| 121 | IRNSouthern Asia | -0.240270 | -1.3480 | -0.71656 | -1.1204 | -0.9017 | -0.700846 | 47.4257 |
| 122 | AZEWestern Asia | -0.263282 | -1.2480 | -0.45787 | -0.2078 | -0.7065 | -0.907690 | 46.9547 |
| 123 | LAOSouth-eastern Asia | -0.269582 | -1.5999 | 0.23798 | -0.7427 | -0.7807 | -1.010877 | 46.8258 |
| 124 | TZAEastern Africa | -0.282172 | -0.3441 | -0.67367 | -0.5551 | -0.4645 | -0.358273 | 46.5681 |
| 125 | ATGCaribbean | -0.285417 | 0.5552 | 0.61184 | 0.2400 | 0.6602 | 0.200364 | 46.5017 |
| 126 | KHMSouth-eastern Asia | -0.289662 | -1.2269 | -0.20946 | -0.5609 | -1.1575 | -1.329871 | 46.4148 |
| 127 | MDVSouthern Asia | -0.309551 | -0.7065 | -0.06864 | -0.2543 | -0.6391 | -0.863949 | 46.0077 |
| 128 | HNDCentral America | -0.311204 | -0.5755 | -0.92981 | -0.3886 | -1.0660 | -0.945633 | 45.9738 |
| 129 | UGAEastern Africa | -0.319375 | -0.7393 | -0.70895 | -0.3682 | -0.6053 | -1.020038 | 45.8066 |
| 130 | BLREastern Europe | -0.320241 | -1.1608 | 0.01015 | -0.8905 | -0.7928 | -0.136022 | 45.7888 |
| 131 | SWZSouthern Africa | -0.322829 | -1.4106 | -0.37060 | -0.3422 | -0.4447 | -0.132997 | 45.7359 |
| 132 | MDAEastern Europe | -0.324197 | -0.0517 | -0.19405 | -0.1204 | -0.4242 | -0.950430 | 45.7079 |
| 133 | RUSEastern Europe | -0.327193 | -0.7632 | -0.53323 | -0.4751 | -0.8382 | -0.934941 | 45.6466 |
| 134 | PAKSouthern Asia | -0.329949 | -0.7427 | -2.22212 | -0.6574 | -0.8419 | -0.935137 | 45.5902 |
| 135 | LBNWestern Asia | -0.330283 | -0.5250 | -1.35969 | -0.3255 | -0.8036 | -1.073192 | 45.5833 |
| 136 | PLWMicronesia | -0.337717 | 1.0695 | 1.14267 | 0.4166 | 1.3498 | 0.447528 | 45.4312 |
| 137 | MNGEastern Asia | -0.340053 | 0.2898 | 0.69635 | -0.0461 | -0.1568 | -0.541472 | 45.3833 |
| 138 | BENWestern Africa | -0.344779 | 0.2845 | 0.31347 | -0.4650 | -0.3827 | -0.389310 | 45.2866 |
| 139 | MHLMicronesia | -0.350653 | 0.9664 | 1.14267 | -0.7918 | 0.7068 | 0.774846 | 45.1664 |
| 140 | PSEWestern Asia | -0.377550 | -0.8058 | -1.40285 | 0.0051 | -0.7915 | -0.309812 | 44.6158 |
| 141 | ZMBEastern Africa | -0.383868 | -0.3291 | -0.22127 | -0.4550 | -0.4072 | -0.464389 | 44.4865 |
| 142 | EGYNorthern Africa | -0.385591 | -1.3040 | -1.44845 | -0.6825 | -0.7229 | -0.413623 | 44.4513 |
| 143 | BIHSouthern Europe | -0.431869 | -0.3070 | -0.31441 | -0.1664 | -0.2940 | -0.602803 | 43.5040 |
| 144 | KIRMicronesia | -0.433124 | 0.7287 | 0.96105 | -0.6986 | 0.5099 | 0.254318 | 43.4783 |
| 145 | GMBWestern Africa | -0.435605 | -0.6729 | -0.19084 | -0.5677 | -0.5534 | -0.560506 | 43.4275 |
| 146 | BFAWestern Africa | -0.444625 | 0.0004 | -0.85146 | -0.4093 | -0.4324 | -0.150175 | 43.2429 |
| 147 | PRYSouth America | -0.453501 | -0.0450 | -0.04197 | -0.1443 | -0.4552 | -0.829584 | 43.0612 |
| 148 | DMACaribbean | -0.456933 | 0.6209 | 1.13742 | 0.1878 | 0.7401 | 0.622552 | 42.9910 |
| 149 | MWIEastern Africa | -0.459245 | -0.1366 | -0.31944 | -0.6741 | -0.2614 | -0.714635 | 42.9437 |
| 150 | BGDSouthern Asia | -0.476629 | -0.8069 | -1.33712 | -0.7648 | -0.8902 | -1.059741 | 42.5878 |
| 151 | XKXSouthern Europe | -0.478757 | 0.0933 | -0.19359 | -0.2885 | -0.2535 | -0.421074 | 42.5443 |
| 152 | NICCentral America | -0.480853 | -0.7923 | -0.17661 | -0.4788 | -0.8525 | -1.093962 | 42.5014 |
| 153 | GTMCentral America | -0.485248 | -0.1633 | -0.70806 | -0.3972 | -0.9308 | -0.883105 | 42.4114 |
| 154 | UKREastern Europe | -0.494963 | -0.0674 | -1.57753 | -0.3733 | -0.5682 | -0.938194 | 42.2126 |
| 155 | ETHEastern Africa | -0.496356 | -1.4196 | -1.51441 | -0.9112 | -0.7266 | -0.563787 | 42.1841 |
| 156 | BLZCentral America | -0.512081 | 0.3586 | 0.01767 | -0.5269 | -0.5405 | -0.198035 | 41.8622 |
| 157 | PRICaribbean | -0.526890 | 0.7896 | 0.37688 | 0.9491 | 0.6072 | 0.237780 | 41.5591 |
| 158 | LSOSouthern Africa | -0.537956 | -0.0922 | -0.17397 | -0.4057 | -0.2327 | 0.041315 | 41.3326 |
| 159 | DZANorthern Africa | -0.569075 | -0.8312 | -0.90967 | -0.9664 | -0.8686 | -0.547276 | 40.6956 |
| 160 | STPMiddle Africa | -0.571061 | 0.2151 | 0.19951 | -0.7761 | -0.4881 | 0.065542 | 40.6549 |
| 161 | PNGMelanesia | -0.571797 | -0.0106 | -0.89493 | -0.5058 | -0.5799 | -0.991723 | 40.6399 |
| 162 | UZBCentral Asia | -0.604842 | -1.5377 | -0.22403 | -1.2997 | -1.0162 | -1.289146 | 39.9635 |
| 163 | CIVWestern Africa | -0.606474 | -0.5013 | -1.04379 | -0.4107 | -0.6877 | -0.471466 | 39.9301 |
| 164 | CMRMiddle Africa | -0.624399 | -1.0749 | -1.20277 | -0.8254 | -1.1049 | -1.147353 | 39.5632 |
| 165 | KGZCentral Asia | -0.624625 | -0.2027 | -0.31949 | -0.3248 | -0.7145 | -1.140931 | 39.5586 |
| 166 | TLSSouth-eastern Asia | -0.659653 | 0.2356 | 0.05596 | -0.9185 | -1.0305 | -0.678749 | 38.8416 |
| 167 | NERWestern Africa | -0.690413 | -0.4484 | -1.04965 | -0.6540 | -0.5435 | -0.420926 | 38.2120 |
| 168 | MOZEastern Africa | -0.695922 | -0.4990 | -1.07446 | -0.6562 | -0.9950 | -0.987377 | 38.0992 |
| 169 | NPLSouthern Asia | -0.710101 | -0.1684 | -0.59480 | -0.7115 | -0.4514 | -0.778973 | 37.8090 |
| 170 | VUTMelanesia | -0.717529 | 0.5047 | 0.87007 | -0.3339 | 0.5600 | -0.061908 | 37.6570 |
| 171 | NGAWestern Africa | -0.745683 | -0.4658 | -1.89833 | -0.8045 | -0.7994 | -1.136783 | 37.0807 |
| 172 | TJKCentral Asia | -0.752697 | -1.3408 | -0.65822 | -0.8614 | -1.2007 | -1.231153 | 36.9371 |
| 173 | TUVPolynesia | -0.752787 | 0.6231 | 1.14267 | -0.6978 | 0.9765 | -0.038247 | 36.9353 |
| 174 | MRTWestern Africa | -0.768830 | -0.9227 | -0.75814 | -0.6785 | -0.7809 | -0.870865 | 36.6069 |
| 175 | MLIWestern Africa | -0.777903 | -0.2963 | -1.71622 | -0.5694 | -0.7372 | -0.699118 | 36.4212 |
| 176 | MDGEastern Africa | -0.784981 | -0.5737 | -0.54423 | -0.7817 | -0.7828 | -0.924197 | 36.2763 |
| 177 | GABMiddle Africa | -0.838716 | -0.9572 | -0.46617 | -0.6364 | -0.6452 | -0.852307 | 35.1765 |
| 178 | DJIEastern Africa | -0.844079 | -1.3207 | -0.78780 | -0.6976 | -1.0002 | -0.764565 | 35.0667 |
| 179 | GINWestern Africa | -0.899047 | -0.8009 | -0.80022 | -0.8205 | -1.1385 | -1.088997 | 33.9416 |
| 180 | COGMiddle Africa | -0.905472 | -1.0760 | -0.79245 | -1.2245 | -1.1611 | -1.302492 | 33.8101 |
| 181 | ZWEEastern Africa | -0.934941 | -1.3415 | -0.82281 | -1.4208 | -1.3760 | -1.304805 | 33.2069 |
| 182 | AGOMiddle Africa | -0.944831 | -1.0956 | -0.54442 | -1.1422 | -1.2897 | -1.419851 | 33.0045 |
| 183 | BDIEastern Africa | -0.986762 | -1.4547 | -2.07869 | -0.8541 | -1.3217 | -1.325669 | 32.1462 |
| 184 | SLEWestern Africa | -1.001180 | -0.3518 | -0.16350 | -0.9082 | -0.7286 | -0.721110 | 31.8511 |
| 185 | TKMCentral Asia | -1.019762 | -1.8068 | -0.25093 | -1.8179 | -1.4508 | -1.453405 | 31.4707 |
| 186 | TGOWestern Africa | -1.021545 | -0.7118 | -0.85591 | -0.7956 | -0.7929 | -0.735444 | 31.4342 |
| 187 | LBRWestern Africa | -1.094407 | 0.0595 | -0.28077 | -0.8680 | -0.7890 | -0.890265 | 29.9428 |
| 188 | SLBMelanesia | -1.102668 | 0.1537 | 0.11068 | -0.9484 | -0.1496 | -0.149298 | 29.7738 |
| 189 | MMRSouth-eastern Asia | -1.109679 | -1.0116 | -1.25487 | -0.8668 | -1.0513 | -0.757490 | 29.6303 |
| 190 | GNQMiddle Africa | -1.138071 | -1.7906 | -0.41861 | -1.4494 | -1.5350 | -1.635221 | 29.0491 |
| 191 | TCDMiddle Africa | -1.138982 | -1.2291 | -1.38900 | -1.0807 | -1.3048 | -1.456851 | 29.0305 |
| 192 | VENSouth America | -1.142561 | -1.3517 | -1.39729 | -1.7837 | -2.1935 | -1.453391 | 28.9572 |
| 193 | IRQWestern Asia | -1.174936 | -0.9708 | -2.18273 | -1.1059 | -1.5660 | -1.402711 | 28.2946 |
| 194 | COMEastern Africa | -1.205983 | -0.5926 | -0.19383 | -1.2290 | -0.8153 | -0.945896 | 27.6591 |
| 195 | SDNNorthern Africa | -1.285636 | -1.8278 | -1.96176 | -1.4659 | -1.3603 | -1.488035 | 26.0287 |
| 196 | ERIEastern Africa | -1.322491 | -2.3052 | -0.87182 | -1.9501 | -1.6227 | -1.319745 | 25.2743 |
| 197 | AFGSouthern Asia | -1.422414 | -1.1481 | -2.61551 | -1.4516 | -1.6165 | -1.538104 | 23.2290 |
| 198 | CODMiddle Africa | -1.468176 | -1.4923 | -2.25331 | -1.3131 | -1.6075 | -1.434456 | 22.2924 |
| 199 | PRKEastern Asia | -1.489775 | -2.1238 | -0.40818 | -2.1393 | -1.7364 | -1.419317 | 21.8503 |
| 200 | SYRWestern Asia | -1.542167 | -2.0122 | -2.46797 | -1.6431 | -1.7993 | -1.592139 | 20.7779 |
| 201 | LBYNorthern Africa | -1.543211 | -1.2891 | -2.31913 | -1.9705 | -1.5775 | -1.610239 | 20.7565 |
| 202 | GNBWestern Africa | -1.620336 | -0.8645 | -0.59494 | -1.2605 | -1.3251 | -1.661126 | 19.1779 |
| 203 | CAFMiddle Africa | -1.636200 | -0.9900 | -1.84731 | -1.4197 | -1.6060 | -1.178945 | 18.8532 |
| 204 | YEMWestern Asia | -1.727978 | -1.6929 | -2.72585 | -1.2000 | -1.6862 | -1.588532 | 16.9746 |
| 205 | HTICaribbean | -1.780003 | -0.7343 | -0.82815 | -1.2410 | -1.1540 | -1.421380 | 15.9097 |
| 206 | SOMEastern Africa | -2.088566 | -1.6177 | -2.02872 | -2.0928 | -2.3211 | -1.724027 | 9.5939 |
| 207 | SSDEastern Africa | -2.186455 | -1.7855 | -2.46313 | -1.8285 | -1.7569 | -1.752416 | 7.5903 |
02In 2017
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Switzerland2.112534
- 2
Finland2.070897
- 3
Singapore2.060542
- 4
Norway2.054704
- 5
Netherlands2.020179
Lowest
- 207
South Sudan-2.186455
- 206
Somalia-2.088566
- 205
Haiti-1.780003
- 204
Yemen-1.727978
- 203
Central African Republic-1.636200
A higher value is the better result. The middle country reads 0.015782. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Norway1.8280
Lowest
Eritrea-2.3052
Middle country: 0.0902
Political Stability and Absence of Violence
Highest
Greenland1.75678
Lowest
Yemen-2.72585
Middle country: 0.01767
Regulatory Quality
Highest
Hong Kong2.1517
Lowest
North Korea-2.1393
Middle country: -0.0648
Rule of Law
Highest
Finland2.0806
Lowest
Somalia-2.3211
Middle country: -0.1568
Control of Corruption
Highest
Switzerland2.303869
Lowest
South Sudan-1.752416
Middle country: -0.160581
Governance Score, Government Effectiveness (0–100)
Highest
Switzerland95.5841
Lowest
South Sudan7.5903
Middle country: 52.6667
032016 → 2017
Since 2016
What changed between 2016 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 87 · 120rose · fell
- 0unchanged
Rose most
Tuvalu-0.991934 → -0.752787+0.239147
Micronesia-0.202708 → 0.036438+0.239146
Nicaragua-0.690962 → -0.480853+0.210109
Tonga-0.136529 → 0.056942+0.193471
Macau0.973373 → 1.160492+0.187120
Fell most
Puerto Rico0.204428 → -0.526890−0.731318
Antigua and Barbuda0.407445 → -0.285417−0.692862
Anguilla1.445770 → 0.752908−0.692862
United States Virgin Islands1.445770 → 0.752908−0.692862
Dominica0.043239 → -0.456933−0.500172
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.
201 distinct values among 207
Values are stored exactly as published, to 19 decimals. 5 countries share 0.752908. 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-2017-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 (2017). Government Effectiveness, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2017
0627 held
Other years
‹ The year before
Government Effectiveness, 2016207 countries
The year after ›
Government Effectiveness, 2018207 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, 2017: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2017?
Switzerland, at 2.112534, of the 207 countries in the file.
What year does Government Effectiveness, 2017 describe?
2017.
How many countries does Government Effectiveness, 2017 cover?
207.
Where can I download Government Effectiveness, 2017?
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, 2017 the newest?
No. The newest held here is Government Effectiveness, 2025.