Data for 2025
GovTech Maturity Index, 2025
Figures for 2025, as World Bank Group published them · stored as published, never rewritten
GovTech Maturity Index, 2025 covers 196 countries on 5 measures. South Korea is highest, at 0.99745; North Korea is lowest, at 0.01049. The middle country reads 0.63045. Against 2022, 196 values changed (129 up, 67 down), 1 left.
GovTech Maturity Index · Data for 2025
HighestSouth Korea
0.99745LowestNorth Korea
0.01049Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of GovTech Maturity Index, 2025, 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 196 countries · select a heading to sort
| derived | ||||||
|---|---|---|---|---|---|---|
| 1 | KOREastern Asia | 0.99745 | 0.99959 | 1.00000 | 0.9951 | 0.9952 |
| 2 | SAUWestern Asia | 0.99642 | 0.99921 | 0.99902 | 0.9926 | 0.9949 |
| 3 | ESTNorthern Europe | 0.99010 | 0.97376 | 0.99954 | 0.9926 | 0.9945 |
| 4 | BRASouth America | 0.98598 | 0.99038 | 0.99082 | 0.9753 | 0.9874 |
| 5 | AUSAustralia and New Zealand | 0.98495 | 0.98926 | 0.99238 | 0.9602 | 0.9979 |
| 6 | SRBSouthern Europe | 0.97667 | 0.97745 | 0.96121 | 0.9802 | 0.9878 |
| 7 | INDSouthern Asia | 0.96925 | 0.97859 | 0.98221 | 0.9382 | 0.9780 |
| 8 | RUSEastern Europe | 0.95962 | 0.99342 | 0.96995 | 0.9207 | 0.9544 |
| 9 | UZBCentral Asia | 0.95768 | 0.96690 | 0.95247 | 0.9306 | 0.9808 |
| 10 | CANNorthern America | 0.94898 | 0.93441 | 0.96949 | 0.9852 | 0.9069 |
| 11 | ISLNorthern Europe | 0.94832 | 0.90655 | 0.94196 | 0.9775 | 0.9672 |
| 12 | KAZCentral Asia | 0.94544 | 0.93810 | 0.99403 | 0.9578 | 0.8918 |
| 13 | MUSEastern Africa | 0.94359 | 0.97299 | 0.95170 | 0.8636 | 0.9860 |
| 14 | ALBSouthern Europe | 0.93853 | 0.93070 | 0.94100 | 0.9506 | 0.9318 |
| 15 | BHRWestern Asia | 0.93586 | 0.87076 | 0.95785 | 0.9827 | 0.9321 |
| 16 | AUTWestern Europe | 0.92904 | 0.95133 | 0.97600 | 0.8552 | 0.9337 |
| 17 | DNKNorthern Europe | 0.92764 | 0.91477 | 0.98360 | 0.8923 | 0.9199 |
| 18 | SGPSouth-eastern Asia | 0.92654 | 0.84795 | 0.99018 | 0.9174 | 0.9506 |
| 19 | PERSouth America | 0.92053 | 0.90264 | 0.96777 | 0.8803 | 0.9314 |
| 20 | AREWestern Asia | 0.91814 | 0.86722 | 0.97547 | 0.9153 | 0.9145 |
| 21 | JORWestern Asia | 0.91427 | 0.89336 | 0.95191 | 0.9007 | 0.9111 |
| 22 | EGYNorthern Africa | 0.91089 | 0.91633 | 0.96246 | 0.8958 | 0.8690 |
| 23 | URYSouth America | 0.90757 | 0.90176 | 0.94774 | 0.9302 | 0.8506 |
| 24 | JPNEastern Asia | 0.90504 | 0.79424 | 0.94541 | 0.9073 | 0.9732 |
| 25 | PRTSouthern Europe | 0.89963 | 0.92853 | 0.97104 | 0.7628 | 0.9362 |
| 26 | LVANorthern Europe | 0.89776 | 0.86345 | 0.94865 | 0.9003 | 0.8786 |
| 27 | IRLNorthern Europe | 0.89745 | 0.90049 | 0.93895 | 0.8498 | 0.9005 |
| 28 | ESPSouthern Europe | 0.89143 | 0.95446 | 0.84788 | 0.8150 | 0.9484 |
| 29 | LTUNorthern Europe | 0.88866 | 0.76787 | 0.89067 | 0.9703 | 0.9258 |
| 30 | GRCSouthern Europe | 0.88337 | 0.82111 | 0.94102 | 0.8504 | 0.9209 |
| 31 | BGDSouthern Asia | 0.88232 | 0.93279 | 0.91714 | 0.7954 | 0.8839 |
| 32 | SVNSouthern Europe | 0.88185 | 0.85863 | 0.92953 | 0.9003 | 0.8390 |
| 33 | TZAEastern Africa | 0.87982 | 0.96909 | 0.89591 | 0.8113 | 0.8430 |
| 34 | NZLAustralia and New Zealand | 0.87802 | 0.76753 | 0.86403 | 0.9425 | 0.9380 |
| 35 | CHLSouth America | 0.87207 | 0.78567 | 0.91293 | 0.8651 | 0.9246 |
| 36 | UKREastern Europe | 0.86561 | 0.74943 | 0.97408 | 0.8947 | 0.8442 |
| 37 | QATWestern Asia | 0.86401 | 0.79857 | 0.89539 | 0.9061 | 0.8560 |
| 38 | CZEEastern Europe | 0.86322 | 0.90683 | 0.89720 | 0.7529 | 0.8959 |
| 39 | GBRNorthern Europe | 0.85795 | 0.71658 | 0.96279 | 0.7920 | 0.9604 |
| 40 | MDAEastern Europe | 0.85385 | 0.85370 | 0.81809 | 0.9054 | 0.8382 |
| 41 | HUNEastern Europe | 0.85359 | 0.93335 | 0.90671 | 0.7455 | 0.8288 |
| 42 | OMNWestern Asia | 0.85355 | 0.91539 | 0.83423 | 0.8329 | 0.8316 |
| 43 | XKXSouthern Europe | 0.85129 | 0.81878 | 0.90950 | 0.9083 | 0.7686 |
| 44 | MLTSouthern Europe | 0.84921 | 0.77260 | 0.87346 | 0.8929 | 0.8579 |
| 45 | MYSSouth-eastern Asia | 0.84751 | 0.86861 | 0.94070 | 0.6975 | 0.8832 |
| 46 | ITASouthern Europe | 0.84182 | 0.88722 | 0.90325 | 0.6450 | 0.9319 |
| 47 | IDNSouth-eastern Asia | 0.84045 | 0.82520 | 0.90728 | 0.7975 | 0.8318 |
| 48 | FINNorthern Europe | 0.83748 | 0.81224 | 0.98299 | 0.8073 | 0.7474 |
| 49 | THASouth-eastern Asia | 0.83188 | 0.79789 | 0.91129 | 0.7074 | 0.9110 |
| 50 | BELWestern Europe | 0.83028 | 0.85037 | 0.96465 | 0.6629 | 0.8432 |
| 51 | RWAEastern Africa | 0.82892 | 0.74468 | 0.87223 | 0.8803 | 0.8184 |
| 52 | MEXCentral America | 0.82486 | 0.80694 | 0.89522 | 0.7876 | 0.8097 |
| 53 | FRAWestern Europe | 0.82393 | 0.74097 | 0.87043 | 0.8301 | 0.8543 |
| 54 | DOMCaribbean | 0.82336 | 0.83997 | 0.79743 | 0.8931 | 0.7630 |
| 55 | ECUSouth America | 0.82154 | 0.83900 | 0.90711 | 0.6695 | 0.8706 |
| 56 | COLSouth America | 0.81656 | 0.83477 | 0.75123 | 0.8027 | 0.8776 |
| 57 | NLDWestern Europe | 0.81637 | 0.87825 | 0.71065 | 0.7245 | 0.9521 |
| 58 | BTNSouthern Asia | 0.81413 | 0.84981 | 0.86991 | 0.7206 | 0.8162 |
| 59 | TURWestern Asia | 0.81237 | 0.90036 | 0.86996 | 0.6896 | 0.7896 |
| 60 | TWNEastern Asia | 0.80504 | 0.68122 | 0.87783 | 0.8899 | 0.7712 |
| 61 | SWENorthern Europe | 0.79747 | 0.68191 | 0.84166 | 0.8125 | 0.8538 |
| 62 | BLREastern Europe | 0.79671 | 0.71364 | 0.84418 | 0.8634 | 0.7656 |
| 63 | CHEWestern Europe | 0.79551 | 0.77590 | 0.86196 | 0.6596 | 0.8846 |
| 64 | UGAEastern Africa | 0.79213 | 0.90356 | 0.81455 | 0.5603 | 0.8901 |
| 65 | CYPWestern Asia | 0.78975 | 0.72502 | 0.83559 | 0.7576 | 0.8407 |
| 66 | LUXWestern Europe | 0.77998 | 0.73388 | 0.73115 | 0.7904 | 0.8645 |
| 67 | NORNorthern Europe | 0.77861 | 0.78043 | 0.80360 | 0.6670 | 0.8634 |
| 68 | MNGEastern Asia | 0.77613 | 0.78527 | 0.81115 | 0.7800 | 0.7281 |
| 69 | HRVSouthern Europe | 0.77443 | 0.76978 | 0.79985 | 0.7671 | 0.7610 |
| 70 | CPVWestern Africa | 0.77413 | 0.80230 | 0.83078 | 0.7380 | 0.7255 |
| 71 | USANorthern America | 0.77075 | 0.76774 | 0.77521 | 0.7044 | 0.8357 |
| 72 | KENEastern Africa | 0.77007 | 0.83229 | 0.84347 | 0.6052 | 0.7993 |
| 73 | CRICentral America | 0.77003 | 0.65859 | 0.77682 | 0.8303 | 0.8145 |
| 74 | ARMWestern Asia | 0.76901 | 0.78024 | 0.81230 | 0.7548 | 0.7287 |
| 75 | AZEWestern Asia | 0.76886 | 0.92051 | 0.97440 | 0.3822 | 0.7983 |
| 76 | DEUWestern Europe | 0.76323 | 0.73271 | 0.86193 | 0.6717 | 0.7865 |
| 77 | BGREastern Europe | 0.76215 | 0.70126 | 0.92876 | 0.7527 | 0.6659 |
| 78 | PANCentral America | 0.76150 | 0.69389 | 0.70046 | 0.8383 | 0.8134 |
| 79 | MKDSouthern Europe | 0.75950 | 0.75749 | 0.82016 | 0.6602 | 0.8002 |
| 80 | ARGSouth America | 0.75306 | 0.78884 | 0.90659 | 0.6400 | 0.6768 |
| 81 | VNMSouth-eastern Asia | 0.73611 | 0.77401 | 0.82447 | 0.4847 | 0.8613 |
| 82 | BENWestern Africa | 0.72304 | 0.68789 | 0.86320 | 0.5931 | 0.7480 |
| 83 | PRYSouth America | 0.71832 | 0.83003 | 0.85350 | 0.5148 | 0.6750 |
| 84 | TUNNorthern Africa | 0.71546 | 0.74078 | 0.75217 | 0.5628 | 0.8061 |
| 85 | PHLSouth-eastern Asia | 0.71542 | 0.74923 | 0.80135 | 0.5220 | 0.7891 |
| 86 | GHAWestern Africa | 0.70828 | 0.78107 | 0.95347 | 0.3520 | 0.7465 |
| 87 | SLVCentral America | 0.70434 | 0.66196 | 0.87843 | 0.4376 | 0.8393 |
| 88 | IRNSouthern Asia | 0.68562 | 0.76052 | 0.78390 | 0.6412 | 0.5569 |
| 89 | KWTWestern Asia | 0.68425 | 0.72193 | 0.71950 | 0.5506 | 0.7449 |
| 90 | PAKSouthern Asia | 0.67885 | 0.68753 | 0.83225 | 0.5101 | 0.6856 |
| 91 | POLEastern Europe | 0.66952 | 0.80923 | 0.81342 | 0.2788 | 0.7766 |
| 92 | CIVWestern Africa | 0.66270 | 0.63083 | 0.78990 | 0.5103 | 0.7198 |
| 93 | SVKEastern Europe | 0.66135 | 0.77088 | 0.75932 | 0.3216 | 0.7936 |
| 94 | LKASouthern Asia | 0.65694 | 0.82997 | 0.67831 | 0.4200 | 0.6994 |
| 95 | HKGEastern Asia | 0.65191 | 0.59825 | 0.78281 | 0.4862 | 0.7404 |
| 96 | CHNEastern Asia | 0.65050 | 0.53649 | 0.78048 | 0.6192 | 0.6658 |
| 97 | ETHEastern Africa | 0.64283 | 0.59208 | 0.78452 | 0.5034 | 0.6914 |
| 98 | GEOWestern Asia | 0.63180 | 0.67172 | 0.70843 | 0.4472 | 0.6998 |
| 99 | ISRWestern Asia | 0.62911 | 0.51127 | 0.74898 | 0.5321 | 0.7241 |
| 100 | KHMSouth-eastern Asia | 0.62656 | 0.73291 | 0.75024 | 0.3200 | 0.7031 |
| 101 | KGZCentral Asia | 0.62637 | 0.64970 | 0.79010 | 0.5653 | 0.5004 |
| 102 | ZAFSouthern Africa | 0.62256 | 0.71055 | 0.65834 | 0.4515 | 0.6698 |
| 103 | ROUEastern Europe | 0.60240 | 0.66476 | 0.69679 | 0.3642 | 0.6839 |
| 104 | ZMBEastern Africa | 0.60170 | 0.71621 | 0.62000 | 0.3448 | 0.7258 |
| 105 | AGOMiddle Africa | 0.59294 | 0.69489 | 0.76535 | 0.3328 | 0.5787 |
| 106 | TGOWestern Africa | 0.58666 | 0.48327 | 0.78667 | 0.2921 | 0.7846 |
| 107 | HNDCentral America | 0.58110 | 0.58821 | 0.76739 | 0.3025 | 0.6663 |
| 108 | GTMCentral America | 0.57295 | 0.53324 | 0.76200 | 0.6254 | 0.3712 |
| 109 | BOLSouth America | 0.57212 | 0.69505 | 0.71171 | 0.2872 | 0.5946 |
| 110 | FJIMelanesia | 0.56294 | 0.58924 | 0.70132 | 0.4927 | 0.4684 |
| 111 | DZANorthern Africa | 0.55488 | 0.54463 | 0.68150 | 0.3933 | 0.6000 |
| 112 | LIEWestern Europe | 0.55442 | 0.65099 | 0.73795 | 0.3292 | 0.4996 |
| 113 | PNGMelanesia | 0.54789 | 0.59636 | 0.70670 | 0.3128 | 0.5757 |
| 114 | JAMCaribbean | 0.54323 | 0.58405 | 0.67602 | 0.3799 | 0.5330 |
| 115 | BRNSouth-eastern Asia | 0.53631 | 0.48689 | 0.69765 | 0.4374 | 0.5233 |
| 116 | NPLSouthern Asia | 0.51687 | 0.64806 | 0.61532 | 0.2726 | 0.5315 |
| 117 | MARNorthern Africa | 0.51614 | 0.61242 | 0.54075 | 0.4400 | 0.4714 |
| 118 | MNESouthern Europe | 0.51316 | 0.57707 | 0.54904 | 0.2945 | 0.6321 |
| 119 | NGAWestern Africa | 0.51188 | 0.59462 | 0.58732 | 0.2547 | 0.6109 |
| 120 | GINWestern Africa | 0.51048 | 0.55265 | 0.72465 | 0.1892 | 0.5754 |
| 121 | BHSCaribbean | 0.50226 | 0.57213 | 0.73047 | 0.1621 | 0.5443 |
| 122 | BWASouthern Africa | 0.46893 | 0.60531 | 0.63088 | 0.2675 | 0.3721 |
| 123 | IRQWestern Asia | 0.46425 | 0.60476 | 0.63878 | 0.2504 | 0.3631 |
| 124 | MMRSouth-eastern Asia | 0.46081 | 0.39417 | 0.58703 | 0.3680 | 0.4940 |
| 125 | SWZSouthern Africa | 0.45920 | 0.46025 | 0.61607 | 0.0692 | 0.6912 |
| 126 | TTOCaribbean | 0.45907 | 0.42653 | 0.59754 | 0.2774 | 0.5348 |
| 127 | ZWEEastern Africa | 0.45246 | 0.51343 | 0.76262 | 0.1848 | 0.3490 |
| 128 | SENWestern Africa | 0.43373 | 0.31035 | 0.47947 | 0.4526 | 0.4925 |
| 129 | BFAWestern Africa | 0.43343 | 0.50983 | 0.55144 | 0.1373 | 0.5351 |
| 130 | BIHSouthern Europe | 0.43283 | 0.55733 | 0.28166 | 0.5650 | 0.3273 |
| 131 | CUBCaribbean | 0.43248 | 0.53893 | 0.50823 | 0.2054 | 0.4774 |
| 132 | SLEWestern Africa | 0.42103 | 0.53569 | 0.61296 | 0.0593 | 0.4761 |
| 133 | VUTMelanesia | 0.41426 | 0.50995 | 0.29570 | 0.2119 | 0.6395 |
| 134 | BDIEastern Africa | 0.41291 | 0.51824 | 0.30837 | 0.4531 | 0.3719 |
| 135 | TLSSouth-eastern Asia | 0.41009 | 0.46166 | 0.45377 | 0.3902 | 0.3347 |
| 136 | LAOSouth-eastern Asia | 0.40371 | 0.46849 | 0.31770 | 0.3752 | 0.4535 |
| 137 | MACEastern Asia | 0.40091 | 0.29258 | 0.72851 | 0.3486 | 0.2339 |
| 138 | MOZEastern Africa | 0.39298 | 0.48448 | 0.43470 | 0.1348 | 0.5179 |
| 139 | CODMiddle Africa | 0.39283 | 0.36062 | 0.59984 | 0.1272 | 0.4836 |
| 140 | ANDSouthern Europe | 0.39017 | 0.33227 | 0.56111 | 0.2041 | 0.4632 |
| 141 | GUYSouth America | 0.37901 | 0.39141 | 0.56037 | 0.1373 | 0.4269 |
| 142 | CMRMiddle Africa | 0.37798 | 0.47901 | 0.48805 | 0.1669 | 0.3780 |
| 143 | MDGEastern Africa | 0.37795 | 0.51378 | 0.40289 | 0.2574 | 0.3377 |
| 144 | MRTWestern Africa | 0.37387 | 0.44394 | 0.65735 | 0.0222 | 0.3720 |
| 145 | MCOWestern Europe | 0.36564 | 0.25313 | 0.59841 | 0.0272 | 0.5838 |
| 146 | NAMSouthern Africa | 0.36344 | 0.39313 | 0.60404 | 0.1622 | 0.2944 |
| 147 | LBRWestern Africa | 0.35995 | 0.37131 | 0.63396 | 0.0297 | 0.4049 |
| 148 | MDVSouthern Asia | 0.35899 | 0.50607 | 0.59563 | 0.0865 | 0.2478 |
| 149 | LCACaribbean | 0.35329 | 0.48879 | 0.64388 | 0.0247 | 0.2558 |
| 150 | WSMPolynesia | 0.35204 | 0.35074 | 0.48462 | 0.1521 | 0.4207 |
| 151 | SYCEastern Africa | 0.35141 | 0.42197 | 0.61278 | 0.0544 | 0.3165 |
| 152 | TONPolynesia | 0.34297 | 0.51967 | 0.50502 | 0.1571 | 0.1901 |
| 153 | LSOSouthern Africa | 0.34260 | 0.46088 | 0.33009 | 0.1423 | 0.4371 |
| 154 | VENSouth America | 0.34238 | 0.43140 | 0.48809 | 0.0396 | 0.4105 |
| 155 | VCTCaribbean | 0.33894 | 0.34490 | 0.54847 | 0.0618 | 0.4006 |
| 156 | BLZCentral America | 0.33885 | 0.46203 | 0.37441 | 0.0420 | 0.4769 |
| 157 | MWIEastern Africa | 0.32818 | 0.48242 | 0.37183 | 0.0816 | 0.3769 |
| 158 | MLIWestern Africa | 0.32567 | 0.39551 | 0.51429 | 0.0494 | 0.3434 |
| 159 | SURSouth America | 0.32509 | 0.39609 | 0.29205 | 0.2399 | 0.3723 |
| 160 | DMACaribbean | 0.32188 | 0.43613 | 0.41272 | 0.1747 | 0.2640 |
| 161 | BRBCaribbean | 0.31818 | 0.43008 | 0.49364 | 0.0593 | 0.2897 |
| 162 | GRDCaribbean | 0.30624 | 0.36565 | 0.38014 | 0.0445 | 0.4347 |
| 163 | TJKCentral Asia | 0.29408 | 0.49366 | 0.15813 | 0.1773 | 0.3473 |
| 164 | KNACaribbean | 0.28846 | 0.27556 | 0.42568 | 0.1348 | 0.3178 |
| 165 | SLBMelanesia | 0.26060 | 0.34304 | 0.50174 | 0.1645 | 0.0331 |
| 166 | LBNWestern Asia | 0.25964 | 0.31830 | 0.34602 | 0.0841 | 0.2902 |
| 167 | GABMiddle Africa | 0.25752 | 0.24446 | 0.39857 | 0.0222 | 0.3648 |
| 168 | KIRMicronesia | 0.25412 | 0.40976 | 0.14436 | 0.1571 | 0.3053 |
| 169 | SMRSouthern Europe | 0.22450 | 0.24228 | 0.45951 | 0.0222 | 0.1740 |
| 170 | PLWMicronesia | 0.20624 | 0.20702 | 0.30485 | 0.1822 | 0.1309 |
| 171 | LBYNorthern Africa | 0.20443 | 0.29903 | 0.13036 | 0.0025 | 0.3859 |
| 172 | GMBWestern Africa | 0.19883 | 0.33051 | 0.09099 | 0.1299 | 0.2440 |
| 173 | ATGCaribbean | 0.19383 | 0.35490 | 0.16734 | 0.0618 | 0.1913 |
| 174 | CAFMiddle Africa | 0.18741 | 0.28216 | 0.28044 | 0.0148 | 0.1722 |
| 175 | STPMiddle Africa | 0.18705 | 0.30210 | 0.21704 | 0.0297 | 0.1994 |
| 176 | COMEastern Africa | 0.18638 | 0.33089 | 0.09205 | 0.0000 | 0.3226 |
| 177 | GNBWestern Africa | 0.17712 | 0.22773 | 0.15530 | 0.0396 | 0.2859 |
| 178 | DJIEastern Africa | 0.16929 | 0.23904 | 0.25314 | 0.0173 | 0.1677 |
| 179 | COGMiddle Africa | 0.16515 | 0.35200 | 0.12500 | 0.0148 | 0.1688 |
| 180 | SSDEastern Africa | 0.16349 | 0.17700 | 0.40249 | 0.0198 | 0.0547 |
| 181 | NERWestern Africa | 0.14685 | 0.27342 | 0.03021 | 0.1348 | 0.1489 |
| 182 | TKMCentral Asia | 0.14622 | 0.27046 | 0.18782 | 0.0074 | 0.1192 |
| 183 | SDNNorthern Africa | 0.14272 | 0.23349 | 0.01267 | 0.1101 | 0.2146 |
| 184 | NRUMicronesia | 0.13849 | 0.24081 | 0.02389 | 0.1398 | 0.1495 |
| 185 | HTICaribbean | 0.13751 | 0.25936 | 0.08697 | 0.1150 | 0.0887 |
| 186 | GNQMiddle Africa | 0.12593 | 0.23667 | 0.09239 | 0.0420 | 0.1326 |
| 187 | TUVPolynesia | 0.12358 | 0.19363 | 0.07618 | 0.1101 | 0.1144 |
| 188 | AFGSouthern Asia | 0.12101 | 0.16432 | 0.27531 | 0.0198 | 0.0246 |
| 189 | MHLMicronesia | 0.12099 | 0.14380 | 0.03513 | 0.1947 | 0.1104 |
| 190 | TCDMiddle Africa | 0.10637 | 0.18852 | 0.02619 | 0.0569 | 0.1539 |
| 191 | SOMEastern Africa | 0.10235 | 0.19800 | 0.02910 | 0.0519 | 0.1304 |
| 192 | FSMMicronesia | 0.08635 | 0.22664 | 0.02568 | 0.0247 | 0.0684 |
| 193 | YEMWestern Asia | 0.07151 | 0.13064 | 0.01349 | 0.0272 | 0.1147 |
| 194 | SYRWestern Asia | 0.05275 | 0.11747 | 0.03005 | 0.0124 | 0.0511 |
| 195 | ERIEastern Africa | 0.02694 | 0.08584 | 0.00000 | 0.0025 | 0.0195 |
| 196 | PRKEastern Asia | 0.01049 | 0.00869 | 0.00285 | 0.0000 | 0.0304 |
02In 2025
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
South Korea0.99745
- 2
Saudi Arabia0.99642
- 3
Estonia0.99010
- 4
Brazil0.98598
- 5
Australia0.98495
Lowest
- 196
North Korea0.01049
- 195
Eritrea0.02694
- 194
Syria0.05275
- 193
Yemen0.07151
- 192
Micronesia0.08635
A higher value is the better result. The middle country reads 0.63045. “Shared” marks a value another country also holds.
Each measure’s ends
Core government systems
Highest
South Korea0.99959
Lowest
North Korea0.00869
Middle country: 0.66336
Public service delivery
Highest
South Korea1.00000
Lowest
Eritrea0.00000
Middle country: 0.75073
Digital citizen engagement
Highest
South Korea0.9951
Lowest2 share it
Middle country: 0.4521
GovTech enablers
Highest
Australia0.9979
Lowest
Eritrea0.0195
Middle country: 0.6847
032022 → 2025
Since 2022
What changed between 2022 and this one: who joined or left, and how far the headline moved.
- +0 / −1countries joined / left
- 196values changed, of 196 in both
- 129 · 67rose · fell
- 0unchanged
Rose most
Belarus0.40666 → 0.79671+0.39005
Ireland0.52336 → 0.89745+0.37409
Guinea0.14727 → 0.51048+0.36321
Liechtenstein0.28627 → 0.55442+0.26814
Costa Rica0.51172 → 0.77003+0.25831
Fell most
Afghanistan0.35361 → 0.12101−0.23260
Syria0.27339 → 0.05275−0.22063
Burkina Faso0.63900 → 0.43343−0.20557
Somalia0.26514 → 0.10235−0.16280
Antigua and Barbuda0.34800 → 0.19383−0.15417
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.
The position is ours
World Bank Group publishes values only; the order is this site’s.
Nothing missing
Every one of the 196 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
196 rows · 22 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download govtech-maturity-2025-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
WB_GTMI_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 (2025). GovTech Maturity Index, 2025 [data set], describing 2025. As held by Nations Inquiry, https://nationsinquiry.com/datasets/govtech-maturity/2025
062 held
Other years
‹ The year before
GovTech Maturity Index, 2022197 countries
The year after ›
This is the newest year. A newer one will get its own page at its own address; this one is never rewritten.
All of them
GovTech Maturity Index: every year2 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
GovTech Maturity Index, 2025: questions and answers
Which country has the highest govTech maturity in GovTech Maturity Index, 2025?
South Korea, at 0.99745, of the 196 countries in the file.
What year does GovTech Maturity Index, 2025 describe?
2025.
How many countries does GovTech Maturity Index, 2025 cover?
196.
Where can I download GovTech Maturity Index, 2025?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is GovTech Maturity Index, 2025 the newest?
Yes, as of 2026-09-25, when it was read from the publisher.