Data for 2009
Government Effectiveness, 2009
Figures for 2009, as World Bank Group published them · stored as published, never rewritten
Government Effectiveness, 2009 covers 206 countries on 7 measures. Finland is highest, at 2.15753; Somalia is lowest, at -1.97932. The middle country reads -0.16090. Against 2008, 204 values changed (143 up, 61 down), 2 countries joined.
Government Effectiveness · Data for 2009
HighestFinland
2.15753LowestSomalia
-1.97932Shaded 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, 2009, 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 206 countries · select a heading to sort
| derived | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | FINNorthern Europe | 2.15753 | 1.59860 | 1.49188 | 1.9548 | 1.9063 | 2.17806 | 96.505 |
| 2 | DNKNorthern Europe | 2.14827 | 1.71440 | 1.20481 | 2.0504 | 1.8577 | 2.31055 | 96.316 |
| 3 | SWENorthern Europe | 2.07525 | 1.69751 | 1.17177 | 1.7570 | 1.8525 | 2.14452 | 94.821 |
| 4 | SGPSouth-eastern Asia | 1.99537 | -0.13317 | 1.20819 | 1.9440 | 1.3645 | 2.14302 | 93.186 |
| 5 | LUXWestern Europe | 1.94889 | 1.60104 | 1.47334 | 1.7070 | 1.6777 | 2.05228 | 92.235 |
| 6 | NZLAustralia and New Zealand | 1.93187 | 1.64556 | 1.18598 | 1.8089 | 1.8009 | 2.27934 | 91.886 |
| 7 | CHEWestern Europe | 1.86744 | 1.57501 | 1.30246 | 1.7370 | 1.7640 | 2.05016 | 90.567 |
| 8 | NLDWestern Europe | 1.81255 | 1.61025 | 1.04696 | 1.6768 | 1.6590 | 2.04028 | 89.444 |
| 9 | NORNorthern Europe | 1.81223 | 1.69062 | 1.40588 | 1.6120 | 1.8681 | 1.90080 | 89.437 |
| 10 | CANNorthern America | 1.80778 | 1.45863 | 1.36442 | 1.6338 | 1.6231 | 1.96954 | 89.346 |
| 11 | AIACaribbean | 1.77331 | 1.03296 | 1.22074 | 1.4531 | 1.3196 | 1.33198 | 88.641 |
| 12 | ISLNorthern Europe | 1.75938 | 1.50423 | 1.34166 | 1.4529 | 1.6686 | 2.14667 | 88.356 |
| 13 | DEUWestern Europe | 1.73595 | 1.52133 | 1.03482 | 1.4338 | 1.5783 | 1.68417 | 87.876 |
| 14 | AUSAustralia and New Zealand | 1.70010 | 1.50471 | 0.97904 | 1.7634 | 1.6849 | 1.97246 | 87.142 |
| 15 | BELWestern Europe | 1.69744 | 1.48516 | 0.94614 | 1.2044 | 1.2269 | 1.56147 | 87.088 |
| 16 | LIEWestern Europe | 1.64563 | 1.65296 | 1.65924 | 1.6983 | 1.6788 | 1.76124 | 86.027 |
| 17 | AUTWestern Europe | 1.62465 | 1.53738 | 1.27811 | 1.5828 | 1.7771 | 1.80620 | 85.598 |
| 18 | GBRNorthern Europe | 1.52913 | 1.36242 | 0.49513 | 1.5905 | 1.4760 | 1.36754 | 83.643 |
| 19 | HKGEastern Asia | 1.49728 | 0.59015 | 0.99020 | 1.9630 | 1.3525 | 1.63969 | 82.991 |
| 20 | FRAWestern Europe | 1.46058 | 1.37183 | 0.49626 | 1.2354 | 1.2391 | 1.43618 | 82.240 |
| 21 | USANorthern America | 1.44150 | 1.23378 | 0.62975 | 1.3159 | 1.4941 | 1.15093 | 81.849 |
| 22 | ABWCaribbean | 1.36442 | 1.41502 | 1.33496 | 1.4895 | 1.4261 | 1.03023 | 80.271 |
| 23 | JPNEastern Asia | 1.36051 | 1.18313 | 1.09034 | 1.2284 | 1.2971 | 1.16554 | 80.191 |
| 24 | CHLSouth America | 1.33400 | 1.20779 | 0.86459 | 1.5618 | 1.2424 | 1.42324 | 79.649 |
| 25 | CYPWestern Asia | 1.29954 | 1.19476 | 0.79252 | 1.3900 | 1.1594 | 1.07791 | 78.943 |
| 26 | IRLNorthern Europe | 1.27829 | 1.44350 | 1.09714 | 1.6361 | 1.5310 | 1.44117 | 78.508 |
| =27 | ANDSouthern Europe | 1.25415 | 1.38389 | 1.33666 | 1.6314 | 1.2996 | 1.33198 | 78.014 |
| =27 | VIRCaribbean | 1.25415 | 0.81550 | 0.70215 | 0.9180 | 0.7991 | 0.86369 | 78.014 |
| 29 | ISRWestern Asia | 1.24864 | 0.73607 | -1.04573 | 0.9600 | 0.7731 | 0.68454 | 77.901 |
| 30 | BRBCaribbean | 1.20925 | 1.24633 | 1.27961 | 0.7241 | 1.1393 | 1.25212 | 77.095 |
| 31 | TWNEastern Asia | 1.16847 | 0.89700 | 0.83987 | 1.1107 | 0.9231 | 0.59037 | 76.261 |
| 32 | PRTSouthern Europe | 1.11261 | 1.39808 | 0.88274 | 1.1734 | 1.0619 | 0.88932 | 75.117 |
| 33 | MACEastern Asia | 1.08322 | 0.66003 | 0.31849 | 1.4127 | 0.7177 | 0.33827 | 74.516 |
| 34 | SVNSouthern Europe | 1.04646 | 0.98957 | 1.14555 | 1.0096 | 0.8989 | 0.91672 | 73.763 |
| 35 | MLTSouthern Europe | 1.04406 | 1.25121 | 1.17681 | 1.3134 | 1.4197 | 0.96388 | 73.714 |
| 36 | KOREastern Asia | 1.03980 | 0.93509 | 0.61943 | 0.7699 | 0.9365 | 0.43945 | 73.627 |
| 37 | ESTNorthern Europe | 1.01002 | 1.02867 | 0.64643 | 1.4241 | 0.9919 | 0.99951 | 73.017 |
| 38 | ESPSouthern Europe | 0.98382 | 1.28508 | -0.00389 | 1.1565 | 1.0086 | 1.02385 | 72.481 |
| 39 | MUSEastern Africa | 0.95975 | 0.89484 | 0.54430 | 0.8497 | 0.9391 | 0.52923 | 71.988 |
| 40 | KNACaribbean | 0.95710 | 1.12971 | 1.34921 | 0.9716 | 0.9170 | 1.04588 | 71.934 |
| 41 | CZEEastern Europe | 0.92077 | 1.00000 | 1.06866 | 1.1559 | 0.7704 | 0.40220 | 71.191 |
| 42 | BHSCaribbean | 0.87186 | 0.95724 | 0.84034 | 0.6712 | 0.8818 | 1.48239 | 70.189 |
| 43 | CYMCaribbean | 0.86958 | 0.66504 | 1.34315 | 1.2451 | 0.8390 | 1.03023 | 70.143 |
| 44 | LCACaribbean | 0.86610 | 1.30306 | 0.93917 | 0.5949 | 0.9213 | 1.12934 | 70.071 |
| 45 | QATWestern Asia | 0.85576 | -0.93487 | 1.32670 | 0.8462 | 0.7650 | 1.36946 | 69.860 |
| 46 | VCTCaribbean | 0.80439 | 1.07782 | 0.98754 | 0.4546 | 1.0314 | 0.97036 | 68.808 |
| 47 | URYSouth America | 0.79146 | 1.20888 | 1.03937 | 0.3771 | 0.7914 | 1.19554 | 68.544 |
| 48 | SVKEastern Europe | 0.75797 | 0.93089 | 0.90579 | 1.0125 | 0.4136 | 0.18795 | 67.858 |
| 49 | AREWestern Asia | 0.73787 | -0.70678 | 1.09700 | 0.7687 | 0.1202 | 0.84360 | 67.447 |
| 50 | BMUNorthern America | 0.73498 | 1.03296 | 0.77810 | 1.4531 | 0.7991 | 1.33198 | 67.388 |
| 51 | BRNSouth-eastern Asia | 0.72698 | -0.76822 | 1.28816 | 1.0021 | 0.6778 | 0.92206 | 67.224 |
| 52 | MYSSouth-eastern Asia | 0.67505 | -0.40308 | 0.01280 | 0.4765 | 0.2319 | -0.14753 | 66.161 |
| 53 | BWASouthern Africa | 0.66120 | 0.63220 | 1.22272 | 0.8014 | 0.6946 | 0.95949 | 65.878 |
| 54 | GRCSouthern Europe | 0.61939 | 1.17150 | 0.00357 | 0.7024 | 0.6600 | 0.09521 | 65.022 |
| 55 | HUNEastern Europe | 0.58352 | 0.94747 | 0.74093 | 1.1764 | 0.6372 | 0.39179 | 64.288 |
| 56 | ATGCaribbean | 0.56996 | 0.70607 | 0.78271 | 0.3228 | 0.9170 | 1.04588 | 64.010 |
| 57 | LTUNorthern Europe | 0.56912 | 0.91199 | 0.61286 | 1.0070 | 0.5677 | 0.22395 | 63.993 |
| 58 | CRICentral America | 0.54548 | 1.05071 | 0.72091 | 0.7496 | 0.6523 | 0.61753 | 63.509 |
| 59 | POLEastern Europe | 0.53148 | 1.03137 | 0.97655 | 0.9015 | 0.5776 | 0.58364 | 63.222 |
| 60 | GRDCaribbean | 0.53042 | 0.85779 | 0.30595 | 0.2179 | 0.3871 | 0.48121 | 63.201 |
| 61 | HRVSouthern Europe | 0.52030 | 0.62649 | 0.73411 | 0.3913 | 0.1579 | 0.05507 | 62.994 |
| 62 | SYCEastern Africa | 0.51841 | 0.26846 | 0.64422 | 0.0286 | 0.1899 | 0.41225 | 62.955 |
| 63 | DMACaribbean | 0.50365 | 1.02146 | 1.00580 | 0.4546 | 0.8915 | 0.70056 | 62.653 |
| 64 | ZAFSouthern Africa | 0.48601 | 0.66230 | -0.05191 | 0.6585 | 0.0142 | 0.12496 | 62.292 |
| 65 | LVANorthern Europe | 0.45923 | 0.80781 | 0.62902 | 1.0267 | 0.6237 | 0.26472 | 61.743 |
| 66 | NAMSouthern Africa | 0.45639 | 0.43070 | 0.90084 | 0.3221 | 0.4330 | 0.49886 | 61.685 |
| 67 | ITASouthern Europe | 0.42629 | 1.14402 | 0.48183 | 0.8540 | 0.4102 | 0.28824 | 61.069 |
| 68 | TTOCaribbean | 0.40147 | 0.70299 | 0.03583 | 0.4715 | -0.0635 | -0.02609 | 60.561 |
| 69 | CPVWestern Africa | 0.37894 | 1.00549 | 1.00995 | -0.0510 | 0.6692 | 0.90535 | 60.100 |
| 70 | TUNNorthern Africa | 0.37716 | -1.33456 | -0.11343 | 0.1918 | -0.1236 | -0.29240 | 60.064 |
| 71 | BTNSouthern Asia | 0.36871 | -0.20966 | 0.82809 | -0.9087 | 0.1585 | 0.77591 | 59.891 |
| 72 | TURWestern Asia | 0.34404 | 0.06995 | -0.55544 | 0.3679 | 0.0826 | 0.03807 | 59.386 |
| 73 | THASouth-eastern Asia | 0.34371 | -0.37602 | -1.10390 | 0.2158 | -0.3099 | -0.16972 | 59.379 |
| 74 | GRLNorthern America | 0.34291 | 1.43709 | 1.49463 | 1.5250 | 1.6416 | 1.02180 | 59.363 |
| 75 | JAMCaribbean | 0.28214 | 0.66042 | -0.34469 | 0.2920 | -0.3287 | -0.27773 | 58.119 |
| 76 | PANCentral America | 0.25815 | 0.71218 | 0.11554 | 0.3896 | -0.0910 | -0.30153 | 57.628 |
| 77 | MEXCentral America | 0.22886 | 0.34786 | -0.79260 | 0.3881 | -0.4964 | -0.31615 | 57.028 |
| 78 | BHRWestern Asia | 0.22874 | -0.73669 | -0.20389 | 0.7671 | 0.2395 | 0.07618 | 57.026 |
| 79 | ASMPolynesia | 0.21582 | 1.03296 | 0.99505 | 0.5613 | 1.0594 | 0.39540 | 56.761 |
| 80 | BRASouth America | 0.19101 | 0.68404 | 0.12987 | 0.1723 | -0.2275 | -0.03668 | 56.253 |
| 81 | GHAWestern Africa | 0.15589 | 0.56743 | 0.15866 | -0.0061 | 0.0333 | -0.00417 | 55.534 |
| 82 | JORWestern Asia | 0.15195 | -0.67964 | -0.41661 | 0.1730 | 0.1080 | 0.08752 | 55.454 |
| 83 | OMNWestern Asia | 0.14459 | -0.86995 | 0.83005 | 0.8032 | 0.4283 | 0.30513 | 55.303 |
| 84 | INDSouthern Asia | 0.12172 | 0.57720 | -0.88843 | -0.2939 | 0.1414 | -0.34560 | 54.835 |
| 85 | PRICaribbean | 0.10593 | 0.75531 | 0.42613 | 0.9679 | 0.8069 | 0.56680 | 54.512 |
| 86 | KWTWestern Asia | 0.09413 | -0.42617 | 0.53059 | 0.3495 | 0.3380 | 0.09072 | 54.270 |
| 87 | SURSouth America | 0.06421 | 0.51516 | 0.25907 | -0.4450 | -0.1109 | -0.11029 | 53.658 |
| 88 | MNESouthern Europe | 0.06387 | 0.24903 | 0.70548 | 0.0489 | -0.0175 | -0.24849 | 53.651 |
| 89 | BGREastern Europe | 0.05312 | 0.65060 | 0.36532 | 0.5316 | -0.0893 | -0.24318 | 53.431 |
| 90 | GUYSouth America | 0.03176 | 0.18329 | -0.38808 | -0.5957 | -0.4666 | -0.45055 | 52.994 |
| 91 | ARGSouth America | -0.00541 | 0.45019 | -0.15989 | -0.7460 | -0.5946 | -0.39435 | 52.233 |
| 92 | WSMPolynesia | -0.00591 | 0.56623 | 0.95790 | -0.0548 | 0.7988 | 0.20855 | 52.223 |
| 93 | PHLSouth-eastern Asia | -0.01421 | -0.04954 | -1.60845 | 0.0332 | -0.6172 | -0.82784 | 52.053 |
| 94 | VUTMelanesia | -0.01871 | 0.47037 | 1.30763 | -0.6045 | 0.5028 | 0.41313 | 51.961 |
| 95 | ARMWestern Asia | -0.04602 | -0.78611 | 0.12957 | 0.4426 | -0.4011 | -0.73054 | 51.402 |
| 96 | LKASouthern Asia | -0.05373 | -0.40505 | -1.15485 | -0.1128 | -0.1173 | -0.18943 | 51.244 |
| 97 | GEOWestern Asia | -0.07012 | -0.00215 | -0.72450 | 0.5871 | -0.1491 | 0.14979 | 50.909 |
| 98 | CHNEastern Asia | -0.10164 | -1.61722 | -0.30746 | -0.1691 | -0.6524 | -0.58042 | 50.263 |
| 99 | SAUWestern Asia | -0.12091 | -1.80434 | -0.72519 | 0.2041 | -0.2529 | -0.26385 | 49.869 |
| 100 | SRBSouthern Europe | -0.12785 | 0.34980 | -0.21402 | -0.3133 | -0.3987 | -0.33019 | 49.727 |
| 101 | SLVCentral America | -0.13249 | 0.06986 | -0.16626 | 0.5396 | -0.7509 | -0.25319 | 49.632 |
| 102 | MKDSouthern Europe | -0.14191 | 0.27200 | -0.08307 | 0.2122 | -0.2768 | -0.24300 | 49.439 |
| 103 | COLSouth America | -0.14972 | -0.12141 | -1.57296 | 0.1059 | -0.4931 | -0.28798 | 49.279 |
| 104 | ALBSouthern Europe | -0.17209 | 0.21465 | -0.02607 | 0.1515 | -0.4149 | -0.57358 | 48.821 |
| 105 | IDNSouth-eastern Asia | -0.17474 | 0.09532 | -0.62904 | -0.1517 | -0.5650 | -0.62007 | 48.767 |
| 106 | MDVSouthern Asia | -0.17984 | 0.04313 | -0.11369 | -0.3088 | -0.0987 | -0.53657 | 48.663 |
| 107 | LSOSouthern Africa | -0.19721 | -0.03244 | 0.51469 | -0.5199 | -0.1474 | 0.20546 | 48.307 |
| 108 | RWAEastern Africa | -0.21194 | -1.06960 | -0.20735 | -0.4095 | -0.5981 | 0.03455 | 48.006 |
| 109 | BOLSouth America | -0.24056 | 0.20986 | -0.26384 | -0.8843 | -1.1514 | -0.54751 | 47.420 |
| 110 | VNMSouth-eastern Asia | -0.25849 | -1.30529 | 0.15712 | -0.5079 | -0.5488 | -0.31469 | 47.053 |
| 111 | MARNorthern Africa | -0.26421 | -0.67635 | -0.41786 | 0.0242 | -0.3944 | -0.38518 | 46.936 |
| 112 | XKXSouthern Europe | -0.27641 | 0.12426 | 0.40640 | -0.1969 | -0.2588 | -0.39925 | 46.686 |
| 113 | BENWestern Africa | -0.28186 | 0.41944 | 0.38805 | -0.4145 | -0.4141 | -0.42495 | 46.575 |
| 114 | NRUMicronesia | -0.28467 | 1.02022 | 1.58467 | -0.7338 | 1.0392 | -0.17359 | 46.517 |
| 115 | ROUEastern Europe | -0.28973 | 0.51993 | 0.39153 | 0.3864 | 0.1589 | -0.32148 | 46.413 |
| 116 | SENWestern Africa | -0.29096 | -0.12725 | -0.00799 | -0.3906 | -0.3019 | -0.43237 | 46.388 |
| 117 | TONPolynesia | -0.29561 | 0.16814 | 0.48283 | -0.5307 | 0.1324 | -0.61196 | 46.293 |
| 118 | GUMMicronesia | -0.30334 | 1.03296 | 0.45209 | 0.5613 | 1.0594 | 0.86369 | 46.135 |
| 119 | PERSouth America | -0.31882 | 0.27284 | -0.89755 | 0.3116 | -0.5121 | -0.38542 | 45.818 |
| 120 | GTMCentral America | -0.32028 | -0.06869 | -0.80803 | -0.3987 | -0.9407 | -0.51250 | 45.788 |
| 121 | EGYNorthern Africa | -0.32661 | -1.07965 | -0.59436 | 0.0360 | -0.1614 | -0.49716 | 45.659 |
| 122 | MOZEastern Africa | -0.33911 | -0.09142 | 0.23642 | -0.3863 | -0.5513 | -0.53904 | 45.403 |
| 123 | COKPolynesia | -0.35204 | -0.05800 | 1.59988 | -0.5444 | -0.3684 | -0.01756 | 45.138 |
| 124 | ECUSouth America | -0.40006 | -0.03792 | -0.52169 | -1.3080 | -1.1359 | -0.70095 | 44.155 |
| 125 | TZAEastern Africa | -0.40166 | -0.07872 | 0.00949 | -0.4226 | -0.3491 | -0.36910 | 44.122 |
| 126 | UGAEastern Africa | -0.40368 | -0.47774 | -0.68982 | -0.3407 | -0.3047 | -0.74966 | 44.081 |
| 127 | MWIEastern Africa | -0.40889 | -0.05482 | 0.00154 | -0.5658 | -0.1262 | -0.52157 | 43.974 |
| 128 | PLWMicronesia | -0.41229 | 1.08264 | 1.58467 | -0.7338 | 1.1975 | -0.17359 | 43.905 |
| 129 | TUVPolynesia | -0.41368 | 0.65322 | 1.56363 | -0.8476 | 1.1619 | -0.09868 | 43.876 |
| 130 | LBNWestern Asia | -0.42104 | -0.23377 | -1.29818 | -0.1335 | -0.6371 | -0.98039 | 43.726 |
| 131 | CUBCaribbean | -0.42438 | -1.59347 | 0.44856 | -1.4531 | -0.7740 | 0.52614 | 43.657 |
| 132 | MDGEastern Africa | -0.42443 | -0.68995 | -0.78016 | -0.5677 | -0.7235 | -0.20652 | 43.656 |
| 133 | HNDCentral America | -0.43746 | -0.41786 | -0.54751 | -0.3707 | -0.9995 | -1.00049 | 43.389 |
| 134 | MNGEastern Asia | -0.45255 | 0.26073 | 0.67795 | -0.2839 | -0.2004 | -0.57038 | 43.081 |
| 135 | SWZSouthern Africa | -0.47121 | -1.22167 | 0.03473 | -0.3763 | -0.5722 | 0.13947 | 42.699 |
| 136 | ETHEastern Africa | -0.47378 | -1.25474 | -1.27718 | -0.7830 | -0.8749 | -0.72213 | 42.646 |
| 137 | DOMCaribbean | -0.49309 | 0.15544 | -0.07273 | -0.1321 | -0.5918 | -0.72214 | 42.251 |
| 138 | KENEastern Africa | -0.49707 | -0.32366 | -1.55231 | -0.4287 | -0.9717 | -1.09163 | 42.169 |
| 139 | FSMMicronesia | -0.50225 | 0.99942 | 1.43466 | -0.6049 | 0.6903 | -0.09868 | 42.063 |
| 140 | PNGMelanesia | -0.51577 | -0.02241 | -0.95898 | -0.4235 | -0.6768 | -1.09703 | 41.787 |
| 141 | GMBWestern Africa | -0.51807 | -1.03183 | 0.15715 | -0.4796 | -0.6335 | -0.71174 | 41.739 |
| 142 | PSEWestern Asia | -0.52859 | -0.61785 | -1.74850 | -0.0988 | -0.6542 | -0.01980 | 41.524 |
| 143 | BIHSouthern Europe | -0.56023 | 0.10803 | -0.57378 | -0.1970 | -0.2916 | -0.41862 | 40.877 |
| 144 | ZMBEastern Africa | -0.56762 | -0.10520 | 0.34034 | -0.4341 | -0.3297 | -0.29995 | 40.725 |
| 145 | KHMSouth-eastern Asia | -0.57503 | -0.89615 | -0.61890 | -0.4111 | -1.2488 | -1.19447 | 40.574 |
| 146 | PRYSouth America | -0.57726 | 0.06233 | -0.43197 | -0.5155 | -0.7287 | -0.85804 | 40.528 |
| 147 | MDAEastern Europe | -0.58631 | -0.13086 | -0.27897 | -0.2375 | -0.3360 | -0.76641 | 40.343 |
| 148 | BLZCentral America | -0.61460 | 0.71046 | -0.03040 | -0.2971 | -0.1210 | 0.24777 | 39.764 |
| 149 | BFAWestern Africa | -0.61729 | -0.23400 | -0.00093 | -0.1592 | -0.2088 | -0.37805 | 39.709 |
| 150 | MLIWestern Africa | -0.62493 | 0.14322 | 0.18249 | -0.4125 | -0.2983 | -0.49958 | 39.552 |
| 151 | UKREastern Europe | -0.63627 | 0.15963 | -0.22376 | -0.6333 | -0.6812 | -1.09061 | 39.320 |
| 152 | PAKSouthern Asia | -0.63950 | -0.84261 | -2.19080 | -0.6766 | -0.8795 | -1.17782 | 39.254 |
| 153 | KIRMicronesia | -0.64181 | 0.31522 | 1.56363 | -1.1294 | 0.4687 | -0.00438 | 39.207 |
| 154 | NIUPolynesia | -0.66994 | -0.14681 | 1.59988 | -0.8167 | -0.6861 | -0.33209 | 38.631 |
| 155 | DZANorthern Africa | -0.67372 | -0.87114 | -1.18591 | -0.8063 | -0.7819 | -0.61645 | 38.554 |
| 156 | FJIMelanesia | -0.67703 | -0.88074 | -0.17382 | -1.0709 | -0.9064 | -0.03295 | 38.486 |
| 157 | NPLSouthern Asia | -0.67953 | -0.42773 | -1.65077 | -0.7488 | -0.8158 | -0.75597 | 38.435 |
| 158 | BGDSouthern Asia | -0.68466 | -0.18830 | -1.50371 | -0.8181 | -0.8016 | -0.90861 | 38.330 |
| 159 | MRTWestern Africa | -0.68761 | -0.86152 | -0.55706 | -0.6459 | -0.9188 | -0.71091 | 38.269 |
| 160 | NICCentral America | -0.69021 | -0.29961 | -0.28282 | -0.4592 | -0.7774 | -0.81643 | 38.216 |
| 161 | GABMiddle Africa | -0.72121 | -0.92722 | -0.12216 | -0.5020 | -0.6574 | -0.94182 | 37.582 |
| 162 | VENSouth America | -0.72232 | -0.76976 | -1.25071 | -1.4285 | -1.7021 | -1.26889 | 37.559 |
| 163 | KAZCentral Asia | -0.73297 | -0.74813 | 0.65745 | -0.4269 | -0.7378 | -0.98943 | 37.341 |
| 164 | SYRWestern Asia | -0.73535 | -1.68866 | -0.50498 | -0.8173 | -0.7418 | -1.04721 | 37.292 |
| 165 | AZEWestern Asia | -0.75375 | -0.93511 | -0.36093 | -0.3308 | -0.7525 | -1.13760 | 36.916 |
| 166 | NERWestern Africa | -0.76054 | -0.73945 | -0.91984 | -0.4965 | -0.6399 | -0.63366 | 36.777 |
| 167 | CMRMiddle Africa | -0.76325 | -0.99369 | -0.46121 | -0.7516 | -1.0599 | -0.78648 | 36.721 |
| 168 | RUSEastern Europe | -0.78786 | -0.54547 | -0.68071 | -0.3532 | -0.9588 | -1.16029 | 36.217 |
| 169 | IRNSouthern Asia | -0.79686 | -1.52140 | -1.26576 | -1.5127 | -1.0931 | -1.04728 | 36.033 |
| 170 | STPMiddle Africa | -0.81091 | 0.22006 | 0.49179 | -0.7878 | -0.5522 | -0.23978 | 35.746 |
| 171 | DJIEastern Africa | -0.82819 | -1.09476 | 0.53300 | -0.7303 | -0.7466 | -0.48935 | 35.392 |
| 172 | TLSSouth-eastern Asia | -0.83244 | 0.21589 | -0.66776 | -1.0769 | -1.0905 | -0.73346 | 35.305 |
| 173 | LAOSouth-eastern Asia | -0.88513 | -1.62762 | -0.07493 | -1.0476 | -0.9890 | -1.24172 | 34.226 |
| 174 | SLBMelanesia | -0.89305 | 0.09261 | 0.34343 | -1.2907 | -0.5727 | -0.31532 | 34.064 |
| 175 | KGZCentral Asia | -0.93062 | -0.79590 | -0.60463 | -0.5791 | -1.2406 | -1.33746 | 33.295 |
| 176 | MHLMicronesia | -0.94649 | 0.99606 | 1.58467 | -1.0947 | 0.8907 | -0.31244 | 32.970 |
| 177 | BDIEastern Africa | -0.97617 | -0.57115 | -1.06056 | -1.0077 | -1.2058 | -1.18270 | 32.363 |
| 178 | YEMWestern Asia | -0.97991 | -1.16989 | -2.07908 | -0.4528 | -1.0968 | -0.94079 | 32.286 |
| 179 | NGAWestern Africa | -1.02815 | -0.76344 | -1.45465 | -0.7802 | -1.0392 | -1.04931 | 31.299 |
| 180 | UZBCentral Asia | -1.03060 | -1.70006 | -0.87593 | -1.5383 | -1.2144 | -1.36281 | 31.249 |
| 181 | AGOMiddle Africa | -1.04046 | -1.01097 | -0.54203 | -1.0299 | -1.2152 | -1.27360 | 31.047 |
| 182 | BLREastern Europe | -1.05136 | -1.17946 | 0.31059 | -1.2351 | -0.9350 | -0.45979 | 30.824 |
| 183 | GNBWestern Africa | -1.13416 | -0.69162 | -0.50684 | -1.1455 | -1.3325 | -1.12111 | 29.129 |
| 184 | COGMiddle Africa | -1.13989 | -1.08455 | -0.38272 | -1.1941 | -1.1954 | -1.20679 | 29.012 |
| 185 | CIVWestern Africa | -1.14802 | -1.03429 | -0.93088 | -0.9068 | -1.2294 | -0.91503 | 28.845 |
| 186 | LBRWestern Africa | -1.15253 | -0.02233 | -1.04347 | -1.1488 | -0.9664 | -0.41703 | 28.753 |
| 187 | IRQWestern Asia | -1.16809 | -0.86780 | -2.12474 | -1.1433 | -1.5694 | -1.40373 | 28.435 |
| 188 | ERIEastern Africa | -1.18106 | -2.32454 | -0.68546 | -1.8333 | -1.4051 | -0.68771 | 28.169 |
| 189 | TJKCentral Asia | -1.18397 | -1.03266 | -0.77298 | -1.0907 | -1.2543 | -1.26417 | 28.110 |
| 190 | SLEWestern Africa | -1.18831 | -0.19711 | -0.28625 | -0.9882 | -0.8195 | -0.75479 | 28.021 |
| 191 | LBYNorthern Africa | -1.21222 | -1.88797 | 0.48755 | -1.1706 | -1.1266 | -1.20900 | 27.531 |
| 192 | GNQMiddle Africa | -1.24308 | -1.79309 | 0.18643 | -1.5753 | -1.2138 | -1.27050 | 26.900 |
| 193 | SDNNorthern Africa | -1.25063 | -1.56475 | -2.44663 | -1.2430 | -1.3685 | -1.42872 | 26.745 |
| 194 | GINWestern Africa | -1.25270 | -1.37157 | -1.79710 | -1.1872 | -1.6437 | -1.28568 | 26.703 |
| 195 | HTICaribbean | -1.31139 | -0.59452 | -1.30742 | -0.8186 | -1.1965 | -1.09184 | 25.502 |
| 196 | TCDMiddle Africa | -1.38059 | -1.31802 | -1.05612 | -1.1735 | -1.5444 | -1.49775 | 24.085 |
| 197 | COMEastern Africa | -1.46200 | -0.53017 | -0.47804 | -1.5689 | -1.1759 | -0.80716 | 22.419 |
| 198 | TGOWestern Africa | -1.50293 | -0.92239 | -0.44162 | -0.9273 | -0.8778 | -1.03341 | 21.581 |
| 199 | TKMCentral Asia | -1.50707 | -1.77275 | 0.26729 | -1.9535 | -1.3828 | -1.49779 | 21.496 |
| 200 | CAFMiddle Africa | -1.55004 | -0.93407 | -1.32988 | -1.1580 | -1.3540 | -1.09609 | 20.617 |
| 201 | AFGSouthern Asia | -1.56716 | -1.21544 | -2.43713 | -1.5429 | -1.8512 | -1.55952 | 20.266 |
| 202 | ZWEEastern Africa | -1.57032 | -1.57908 | -1.55721 | -1.9000 | -1.8540 | -1.56136 | 20.202 |
| 203 | MMRSouth-eastern Asia | -1.65884 | -2.17979 | -1.17880 | -2.1446 | -1.6568 | -1.55053 | 18.390 |
| 204 | CODMiddle Africa | -1.69308 | -1.29512 | -1.53745 | -1.4647 | -1.6151 | -1.39275 | 17.689 |
| 205 | PRKEastern Asia | -1.72853 | -2.16226 | -0.27143 | -2.2698 | -1.4340 | -1.21841 | 16.963 |
| 206 | SOMEastern Africa | -1.97932 | -1.88860 | -2.86719 | -2.0812 | -2.3927 | -1.58874 | 11.830 |
02In 2009
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Finland2.15753
- 2
Denmark2.14827
- 3
Sweden2.07525
- 4
Singapore1.99537
- 5
Luxembourg1.94889
Lowest
- 206
Somalia-1.97932
- 205
North Korea-1.72853
- 204
DR Congo-1.69308
- 203
Myanmar-1.65884
- 202
Zimbabwe-1.57032
A higher value is the better result. The middle country reads -0.16090. “Shared” marks a value another country also holds.
Each measure’s ends
Voice and Accountability
Highest
Denmark1.71440
Lowest
Eritrea-2.32454
Middle country: 0.11615
Political Stability and Absence of Violence
Highest
Liechtenstein1.65924
Lowest
Somalia-2.86719
Middle country: 0.15713
Regulatory Quality
Highest
Denmark2.0504
Lowest
North Korea-2.2698
Middle country: -0.1328
Rule of Law
Highest
Finland1.9063
Lowest
Somalia-2.3927
Middle country: -0.1809
Control of Corruption
Highest
Denmark2.31055
Lowest
Somalia-1.58874
Middle country: -0.24309
Governance Score, Government Effectiveness (0–100)
Highest
Finland96.505
Lowest
Somalia11.830
Middle country: 49.050
032008 → 2009
Since 2008
What changed between 2008 and this one: who joined or left, and how far the headline moved.
- +2 / −0countries joined / left
- 204values changed, of 204 in both
- 143 · 61rose · fell
- 0unchanged
Rose most
Macau0.73263 → 1.08322+0.35059
Qatar0.57867 → 0.85576+0.27709
Seychelles0.26472 → 0.51841+0.25369
Armenia-0.27305 → -0.04602+0.22703
Lithuania0.35780 → 0.56912+0.21133
Fell most
Cook Islands0.59910 → -0.35204−0.95113
Puerto Rico0.53446 → 0.10593−0.42853
Cayman Islands1.25180 → 0.86958−0.38222
Timor-Leste-0.45704 → -0.83244−0.37540
Barbados1.52615 → 1.20925−0.31690
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.
205 distinct values among 206
Values are stored exactly as published, to 18 decimals. 2 countries share 1.25415. 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 206 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
206 rows · 23 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download government-effectiveness-2009-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 (2009). Government Effectiveness, 2009 [data set], describing 2009. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-effectiveness/2009
0627 held
Other years
‹ The year before
Government Effectiveness, 2008204 countries
The year after ›
Government Effectiveness, 2010206 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, 2009: questions and answers
Which country has the highest government effectiveness in Government Effectiveness, 2009?
Finland, at 2.15753, of the 206 countries in the file.
What year does Government Effectiveness, 2009 describe?
2009.
How many countries does Government Effectiveness, 2009 cover?
206.
Where can I download Government Effectiveness, 2009?
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, 2009 the newest?
No. The newest held here is Government Effectiveness, 2025.