Data for 2025
Government Cyber Security Capacity, 2025
2025, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
V-Dem's measure of government cyber-security capacity asks whether a state has the skilled staff and resources to protect itself against cyber attacks, from none at all to attacks by highly skilled actors. It is an expert-coded estimate on an open-ended scale centred near zero, and a higher figure means more capacity.
Government Cyber Security Capacity, 2025 covers 176 countries. Estonia is highest, at 3.715; Liberia is lowest, at -2.660. The middle country reads 0.196. Against 2024, 63 values changed (37 up, 26 down), the same countries are covered.
Government Cyber Security Capacity · Data for 2025
HighestEstonia
3.715LowestLiberia
-2.660Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Government Cyber Security Capacity, 2025, as published. V-Dem Institute ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 176 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | ESTNorthern Europe | 3.715 |
| 2 | ISRWestern Asia | 3.497 |
| 3 | CHNEastern Asia | 3.226 |
| 4 | PRKEastern Asia | 2.771 |
| 5 | SGPSouth-eastern Asia | 2.689 |
| 6 | EGYNorthern Africa | 2.662 |
| 7 | POLEastern Europe | 2.563 |
| 8 | USANorthern America | 2.555 |
| 9 | TWNEastern Asia | 2.290 |
| 10 | KOREastern Asia | 2.231 |
| 11 | ETHEastern Africa | 2.223 |
| 12 | LTUNorthern Europe | 2.163 |
| 13 | RUSEastern Europe | 2.107 |
| 14 | KWTWestern Asia | 2.097 |
| 15 | ESPSouthern Europe | 2.006 |
| 16 | FRAWestern Europe | 1.960 |
| 17 | DEUWestern Europe | 1.937 |
| 18 | LVANorthern Europe | 1.922 |
| 19 | IDNSouth-eastern Asia | 1.905 |
| 20 | AREWestern Asia | 1.897 |
| 21 | QATWestern Asia | 1.894 |
| 22 | SAUWestern Asia | 1.760 |
| 23 | MYSSouth-eastern Asia | 1.710 |
| 24 | TUNNorthern Africa | 1.633 |
| 25 | SWENorthern Europe | 1.629 |
| 26 | CZEEastern Europe | 1.604 |
| 27 | CHLSouth America | 1.601 |
| 28 | PRTSouthern Europe | 1.571 |
| 29 | DNKNorthern Europe | 1.533 |
| 30 | CHEWestern Europe | 1.508 |
| 31 | MARNorthern Africa | 1.457 |
| 32 | JPNEastern Asia | 1.430 |
| 33 | BRASouth America | 1.422 |
| 34 | VNMSouth-eastern Asia | 1.346 |
| 35 | CANNorthern America | 1.344 |
| 36 | HUNEastern Europe | 1.277 |
| 37 | GBRNorthern Europe | 1.200 |
| 38 | GRCSouthern Europe | 1.178 |
| 39 | BLREastern Europe | 1.173 |
| 40 | UKREastern Europe | 1.158 |
| 41 | KAZCentral Asia | 1.097 |
| 42 | AZEWestern Asia | 1.085 |
| 43 | MUSEastern Africa | 1.054 |
| 44 | INDSouthern Asia | 1.008 |
| 45 | NLDWestern Europe | 0.930 |
| 46 | JORWestern Asia | 0.887 |
| 47 | MDAEastern Europe | 0.858 |
| 48 | HKGEastern Asia | 0.816 |
| 49 | CIVWestern Africa | 0.810 |
| 50 | TURWestern Asia | 0.801 |
| 51 | FINNorthern Europe | 0.797 |
| 52 | PAKSouthern Asia | 0.743 |
| 53 | ARGSouth America | 0.721 |
| 54 | ARMWestern Asia | 0.718 |
| 55 | NORNorthern Europe | 0.705 |
| 56 | ITASouthern Europe | 0.703 |
| 57 | NZLAustralia and New Zealand | 0.690 |
| 58 | AUSAustralia and New Zealand | 0.685 |
| 59 | SENWestern Africa | 0.675 |
| 60 | LUXWestern Europe | 0.653 |
| 61 | GINWestern Africa | 0.642 |
| 62 | SYCEastern Africa | 0.639 |
| 63 | RWAEastern Africa | 0.619 |
| 64 | CUBCaribbean | 0.601 |
| 65 | BGDSouthern Asia | 0.555 |
| 66 | BFAWestern Africa | 0.553 |
| 67 | DZANorthern Africa | 0.547 |
| 68 | CYPWestern Asia | 0.525 |
| 69 | ZAFSouthern Africa | 0.517 |
| 70 | BHRWestern Asia | 0.514 |
| 71 | MLTSouthern Europe | 0.506 |
| 72 | HRVSouthern Europe | 0.498 |
| 73 | VENSouth America | 0.472 |
| 74 | GEOWestern Asia | 0.447 |
| 75 | MRTWestern Africa | 0.441 |
| 76 | TGOWestern Africa | 0.435 |
| 77 | ZMBEastern Africa | 0.391 |
| 78 | GABMiddle Africa | 0.383 |
| 79 | TZAEastern Africa | 0.350 |
| 80 | URYSouth America | 0.346 |
| 81 | KENEastern Africa | 0.345 |
| 82 | LKASouthern Asia | 0.286 |
| 83 | DOMCaribbean | 0.270 |
| 84 | BELWestern Europe | 0.247 |
| 85 | NGAWestern Africa | 0.240 |
| 86 | MEXCentral America | 0.231 |
| 87 | BENWestern Africa | 0.205 |
| 88 | OMNWestern Asia | 0.201 |
| 89 | ECUSouth America | 0.190 |
| 90 | PANCentral America | 0.145 |
| 91 | SRBSouthern Europe | 0.110 |
| 92 | ZWEEastern Africa | 0.095 |
| 93 | ROUEastern Europe | 0.057 |
| 94 | TJKCentral Asia | 0.000 |
| 95 | THASouth-eastern Asia | -0.021 |
| 96 | MNGEastern Asia | -0.040 |
| 97 | GHAWestern Africa | -0.055 |
| 98 | LBNWestern Asia | -0.058 |
| 99 | NERWestern Africa | -0.080 |
| 100 | AUTWestern Europe | -0.083 |
| 101 | BWASouthern Africa | -0.101 |
| 102 | JAMCaribbean | -0.104 |
| 103 | UGAEastern Africa | -0.107 |
| 104 | CRICentral America | -0.130 |
| 105 | VUTMelanesia | -0.141 |
| 106 | FJIMelanesia | -0.156 |
| 107 | IRLNorthern Europe | -0.164 |
| 108 | BGREastern Europe | -0.182 |
| 109 | SWZSouthern Africa | -0.196 |
| 110 | AGOMiddle Africa | -0.295 |
| 111 | TCDMiddle Africa | -0.307 |
| 112 | BRBCaribbean | -0.322 |
| 113 | GNQMiddle Africa | -0.340 |
| 114 | DJIEastern Africa | -0.373 |
| 115 | BOLSouth America | -0.381 |
| 116 | HNDCentral America | -0.382 |
| 117 | MDVSouthern Asia | -0.386 |
| 118 | PHLSouth-eastern Asia | -0.433 |
| 119 | SVNSouthern Europe | -0.437 |
| 120 | NAMSouthern Africa | -0.469 |
| 121 | SDNNorthern Africa | -0.516 |
| 122 | MOZEastern Africa | -0.566 |
| 123 | ISLNorthern Europe | -0.579 |
| 124 | KGZCentral Asia | -0.589 |
| 125 | KHMSouth-eastern Asia | -0.593 |
| 126 | BIHSouthern Europe | -0.607 |
| 127 | UZBCentral Asia | -0.617 |
| =128 | IRQWestern Asia | -0.619 |
| =128 | MMRSouth-eastern Asia | -0.619 |
| 130 | CPVWestern Africa | -0.646 |
| 131 | BTNSouthern Asia | -0.656 |
| 132 | IRNSouthern Asia | -0.660 |
| 133 | LSOSouthern Africa | -0.696 |
| 134 | NPLSouthern Asia | -0.718 |
| 135 | ERIEastern Africa | -0.731 |
| 136 | MDGEastern Africa | -0.738 |
| 137 | STPMiddle Africa | -0.739 |
| 138 | SomalilandXSLEastern Africa | -0.771 |
| 139 | TKMCentral Asia | -0.787 |
| 140 | SVKEastern Europe | -0.799 |
| 141 | NICCentral America | -0.861 |
| 142 | CODMiddle Africa | -0.869 |
| 143 | MKDSouthern Europe | -0.877 |
| 144 | LAOSouth-eastern Asia | -0.903 |
| 145 | SOMEastern Africa | -0.910 |
| 146 | SYRWestern Asia | -0.914 |
| 147 | PERSouth America | -0.919 |
| 148 | GMBWestern Africa | -0.925 |
| 149 | COGMiddle Africa | -0.940 |
| 150 | SLVCentral America | -0.997 |
| 151 | PRYSouth America | -1.023 |
| 152 | AFGSouthern Asia | -1.031 |
| 153 | MNESouthern Europe | -1.096 |
| 154 | SLEWestern Africa | -1.153 |
| 155 | GNBWestern Africa | -1.181 |
| 156 | SURSouth America | -1.199 |
| 157 | TTOCaribbean | -1.219 |
| 158 | CAFMiddle Africa | -1.238 |
| 159 | CMRMiddle Africa | -1.244 |
| 160 | COLSouth America | -1.254 |
| 161 | COMEastern Africa | -1.261 |
| 162 | YEMWestern Asia | -1.301 |
| 163 | XKXSouthern Europe | -1.410 |
| 164 | SSDEastern Africa | -1.436 |
| 165 | ALBSouthern Europe | -1.477 |
| 166 | BDIEastern Africa | -1.523 |
| 167 | PNGMelanesia | -1.529 |
| 168 | GTMCentral America | -1.533 |
| 169 | GUYSouth America | -1.600 |
| 170 | MLIWestern Africa | -1.602 |
| 171 | TLSSouth-eastern Asia | -1.779 |
| 172 | MWIEastern Africa | -1.788 |
| 173 | SLBMelanesia | -1.869 |
| 174 | LBYNorthern Africa | -2.065 |
| 175 | HTICaribbean | -2.507 |
| 176 | LBRWestern Africa | -2.660 |
02In 2025
At either end
The 5 countries at each end of the headline.
Highest
- 1
Estonia3.715
- 2
Israel3.497
- 3
China3.226
- 4
North Korea2.771
- 5
Singapore2.689
Lowest
- 176
Liberia-2.660
- 175
Haiti-2.507
- 174
Libya-2.065
- 173
Solomon Islands-1.869
- 172
Malawi-1.788
A higher value is the better result. The middle country reads 0.196. “Shared” marks a value another country also holds.
032024 → 2025
Since 2024
- +0 / −0countries joined / left
- 63values changed, of 176 in both
- 37 · 26rose · fell
- 113unchanged
Rose most
Guinea-0.777 → 0.642+1.419
Burkina Faso-0.635 → 0.553+1.188
Niger-1.193 → -0.080+1.113
Egypt1.554 → 2.662+1.108
El Salvador-1.882 → -0.997+0.885
04Caveats
Read before you use
One year of the 2026 release
Every year in this series comes from V-Dem Institute’s 2026 release, recalculated on one method, so a change from one year to the next is not a revision. It can differ from what was first published for 2025.
175 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share -0.619. Countries sharing a value share a position too.
Nothing missing
Every one of the 176 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
176 rows · 4.8 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download cyber-security-capacity-2025-nations-inquiry.csv - ↗
The publisher’s original
V-Dem Institute’s own file, on its own site.
V-Dem-CY-FullOthers-v16_csv.zip
What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY-SA 4.0 · what it allows, in plain words
Cite this edition
V-Dem Institute, University of Gothenburg (2025). Government Cyber Security Capacity, 2025 [data set], describing 2025. As held by Nations Inquiry, https://nationsinquiry.com/datasets/cyber-security-capacity/2025
0626 held
Other years
‹ The year before
Government Cyber Security Capacity, 2024176 countries
The year after ›
This is the newest year; the next will get a page of its own.
All of them
Government Cyber Security Capacity: every year26 held, with the data dictionary, coverage and licence.
How it has moved, charted by country