Data for 2021
Government Cyber Security Capacity, 2021
2021, 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, 2021 covers 176 countries. Israel is highest, at 3.497; Solomon Islands is lowest, at -3.044. The middle country reads 0.121. Against 2020, 82 values changed (57 up, 25 down), the same countries are covered.
Government Cyber Security Capacity · Data for 2021
HighestIsrael
3.497LowestSolomon Islands
-3.044Shaded 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, 2021, 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 | ISRWestern Asia | 3.497 |
| 2 | ESTNorthern Europe | 3.076 |
| 3 | CHNEastern Asia | 2.923 |
| 4 | RUSEastern Europe | 2.819 |
| 5 | PRKEastern Asia | 2.771 |
| 6 | SGPSouth-eastern Asia | 2.689 |
| 7 | AREWestern Asia | 2.537 |
| 8 | DNKNorthern Europe | 2.355 |
| 9 | CANNorthern America | 2.351 |
| 10 | USANorthern America | 2.254 |
| 11 | KOREastern Asia | 2.231 |
| 12 | MYSSouth-eastern Asia | 2.126 |
| 13 | LVANorthern Europe | 2.033 |
| 14 | TWNEastern Asia | 2.013 |
| 15 | FRAWestern Europe | 1.960 |
| 16 | ESPSouthern Europe | 1.956 |
| 17 | QATWestern Asia | 1.894 |
| 18 | ROUEastern Europe | 1.832 |
| 19 | KWTWestern Asia | 1.828 |
| 20 | MUSEastern Africa | 1.802 |
| 21 | SAUWestern Asia | 1.794 |
| 22 | GBRNorthern Europe | 1.746 |
| 23 | PRTSouthern Europe | 1.641 |
| 24 | TUNNorthern Africa | 1.633 |
| 25 | SWENorthern Europe | 1.629 |
| 26 | JORWestern Asia | 1.560 |
| 27 | JPNEastern Asia | 1.550 |
| 28 | HUNEastern Europe | 1.513 |
| 29 | CHEWestern Europe | 1.508 |
| 30 | INDSouthern Asia | 1.507 |
| 31 | LTUNorthern Europe | 1.499 |
| 32 | MARNorthern Africa | 1.457 |
| 33 | CHLSouth America | 1.387 |
| 34 | IRNSouthern Asia | 1.364 |
| 35 | SYRWestern Asia | 1.271 |
| 36 | BRASouth America | 1.194 |
| 37 | GRCSouthern Europe | 1.178 |
| 38 | DEUWestern Europe | 1.155 |
| 39 | EGYNorthern Africa | 1.153 |
| 40 | AUTWestern Europe | 1.104 |
| 41 | AZEWestern Asia | 1.077 |
| 42 | FINNorthern Europe | 1.072 |
| 43 | NZLAustralia and New Zealand | 1.054 |
| 44 | ARMWestern Asia | 1.046 |
| 45 | PAKSouthern Asia | 0.980 |
| 46 | ARGSouth America | 0.933 |
| 47 | AUSAustralia and New Zealand | 0.907 |
| 48 | MDAEastern Europe | 0.858 |
| 49 | LUXWestern Europe | 0.833 |
| 50 | RWAEastern Africa | 0.831 |
| 51 | URYSouth America | 0.824 |
| 52 | KAZCentral Asia | 0.770 |
| 53 | HKGEastern Asia | 0.760 |
| 54 | VNMSouth-eastern Asia | 0.743 |
| 55 | ITASouthern Europe | 0.711 |
| 56 | CUBCaribbean | 0.706 |
| 57 | CZEEastern Europe | 0.705 |
| 58 | MEXCentral America | 0.668 |
| 59 | NLDWestern Europe | 0.654 |
| 60 | TURWestern Asia | 0.639 |
| 61 | DZANorthern Africa | 0.547 |
| 62 | BHRWestern Asia | 0.514 |
| 63 | SVKEastern Europe | 0.502 |
| 64 | HRVSouthern Europe | 0.498 |
| 65 | BLREastern Europe | 0.476 |
| 66 | VENSouth America | 0.472 |
| 67 | NORNorthern Europe | 0.458 |
| 68 | TGOWestern Africa | 0.444 |
| 69 | BELWestern Europe | 0.438 |
| 70 | IDNSouth-eastern Asia | 0.418 |
| 71 | GABMiddle Africa | 0.383 |
| 72 | SYCEastern Africa | 0.370 |
| 73 | POLEastern Europe | 0.366 |
| 74 | MLTSouthern Europe | 0.350 |
| 75 | UKREastern Europe | 0.326 |
| 76 | SENWestern Africa | 0.325 |
| 77 | GEOWestern Asia | 0.317 |
| 78 | CYPWestern Asia | 0.299 |
| 79 | SRBSouthern Europe | 0.292 |
| 80 | MRTWestern Africa | 0.253 |
| 81 | BGDSouthern Asia | 0.206 |
| 82 | IRLNorthern Europe | 0.200 |
| 83 | ECUSouth America | 0.190 |
| 84 | ZAFSouthern Africa | 0.189 |
| 85 | ISLNorthern Europe | 0.185 |
| 86 | LKASouthern Asia | 0.169 |
| =87 | DOMCaribbean | 0.127 |
| =87 | PANCentral America | 0.127 |
| 89 | ZMBEastern Africa | 0.114 |
| 90 | ZWEEastern Africa | 0.099 |
| 91 | THASouth-eastern Asia | -0.021 |
| 92 | KENEastern Africa | -0.022 |
| 93 | TZAEastern Africa | -0.039 |
| 94 | MNGEastern Asia | -0.040 |
| 95 | BRBCaribbean | -0.098 |
| 96 | BWASouthern Africa | -0.101 |
| 97 | JAMCaribbean | -0.104 |
| 98 | CIVWestern Africa | -0.116 |
| 99 | LBNWestern Asia | -0.134 |
| 100 | OMNWestern Asia | -0.136 |
| 101 | VUTMelanesia | -0.141 |
| 102 | SWZSouthern Africa | -0.196 |
| 103 | MNESouthern Europe | -0.225 |
| 104 | HNDCentral America | -0.239 |
| 105 | AGOMiddle Africa | -0.295 |
| 106 | FJIMelanesia | -0.322 |
| 107 | GNQMiddle Africa | -0.340 |
| 108 | UGAEastern Africa | -0.351 |
| 109 | DJIEastern Africa | -0.373 |
| 110 | MDVSouthern Asia | -0.386 |
| 111 | CRICentral America | -0.393 |
| 112 | BGREastern Europe | -0.400 |
| 113 | PHLSouth-eastern Asia | -0.468 |
| =114 | TCDMiddle Africa | -0.494 |
| =114 | ETHEastern Africa | -0.494 |
| 116 | BENWestern Africa | -0.495 |
| 117 | TJKCentral Asia | -0.517 |
| 118 | GHAWestern Africa | -0.558 |
| 119 | SomalilandXSLEastern Africa | -0.565 |
| 120 | NPLSouthern Asia | -0.600 |
| =121 | BIHSouthern Europe | -0.617 |
| =121 | UZBCentral Asia | -0.617 |
| 123 | BTNSouthern Asia | -0.620 |
| 124 | CPVWestern Africa | -0.646 |
| 125 | SURSouth America | -0.676 |
| 126 | SDNNorthern Africa | -0.678 |
| 127 | MMRSouth-eastern Asia | -0.700 |
| 128 | LSOSouthern Africa | -0.721 |
| 129 | IRQWestern Asia | -0.726 |
| 130 | MKDSouthern Europe | -0.734 |
| 131 | COLSouth America | -0.777 |
| 132 | YEMWestern Asia | -0.781 |
| 133 | TKMCentral Asia | -0.787 |
| 134 | GMBWestern Africa | -0.809 |
| 135 | TTOCaribbean | -0.814 |
| 136 | BOLSouth America | -0.817 |
| 137 | KGZCentral Asia | -0.850 |
| 138 | NICCentral America | -0.861 |
| 139 | NAMSouthern Africa | -0.878 |
| 140 | SVNSouthern Europe | -0.933 |
| 141 | COGMiddle Africa | -0.940 |
| 142 | PERSouth America | -0.960 |
| 143 | MWIEastern Africa | -0.981 |
| 144 | MOZEastern Africa | -1.090 |
| 145 | GINWestern Africa | -1.135 |
| 146 | ERIEastern Africa | -1.151 |
| 147 | SLEWestern Africa | -1.153 |
| 148 | NGAWestern Africa | -1.171 |
| 149 | PRYSouth America | -1.207 |
| 150 | ALBSouthern Europe | -1.235 |
| 151 | COMEastern Africa | -1.261 |
| 152 | MDGEastern Africa | -1.272 |
| 153 | CAFMiddle Africa | -1.274 |
| 154 | LAOSouth-eastern Asia | -1.285 |
| 155 | CMRMiddle Africa | -1.290 |
| 156 | STPMiddle Africa | -1.339 |
| 157 | BFAWestern Africa | -1.342 |
| 158 | KHMSouth-eastern Asia | -1.365 |
| 159 | BDIEastern Africa | -1.405 |
| 160 | SSDEastern Africa | -1.436 |
| 161 | SLVCentral America | -1.446 |
| 162 | GTMCentral America | -1.507 |
| 163 | PNGMelanesia | -1.529 |
| 164 | SOMEastern Africa | -1.571 |
| 165 | NERWestern Africa | -1.806 |
| 166 | GNBWestern Africa | -1.820 |
| 167 | CODMiddle Africa | -1.822 |
| 168 | GUYSouth America | -1.883 |
| 169 | MLIWestern Africa | -1.942 |
| 170 | XKXSouthern Europe | -2.008 |
| 171 | LBYNorthern Africa | -2.065 |
| 172 | HTICaribbean | -2.114 |
| 173 | AFGSouthern Asia | -2.426 |
| 174 | TLSSouth-eastern Asia | -2.542 |
| 175 | LBRWestern Africa | -2.660 |
| 176 | SLBMelanesia | -3.044 |
02In 2021
At either end
The 5 countries at each end of the headline.
Highest
- 1
Israel3.497
- 2
Estonia3.076
- 3
China2.923
- 4
Russia2.819
- 5
North Korea2.771
Lowest
- 176
Solomon Islands-3.044
- 175
Liberia-2.660
- 174
Timor-Leste-2.542
- 173
Afghanistan-2.426
- 172
Haiti-2.114
A higher value is the better result. The middle country reads 0.121. “Shared” marks a value another country also holds.
032020 → 2021
Since 2020
- +0 / −0countries joined / left
- 82values changed, of 176 in both
- 57 · 25rose · fell
- 94unchanged
Rose most
- Somaliland-1.928 → -0.565+1.363
Republic of the Congo-1.675 → -0.940+0.735
Cambodia-2.081 → -1.365+0.716
Greece0.469 → 1.178+0.709
United States1.569 → 2.254+0.685
Fell most
Kazakhstan1.471 → 0.770−0.701
Mongolia0.658 → -0.040−0.698
Malaysia2.741 → 2.126−0.615
Afghanistan-1.814 → -2.426−0.612
Egypt1.550 → 1.153−0.397
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 2021.
173 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share 0.127. 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-2021-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 (2021). Government Cyber Security Capacity, 2021 [data set], describing 2021. As held by Nations Inquiry, https://nationsinquiry.com/datasets/cyber-security-capacity/2021
0626 held
Other years
‹ The year before
Government Cyber Security Capacity, 2020176 countries
The year after ›
Government Cyber Security Capacity, 2022176 countries
All of them
Government Cyber Security Capacity: every year26 held, with the data dictionary, coverage and licence.
How it has moved, charted by country