Data for 2002
Government Cyber Security Capacity, 2002
2002, 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, 2002 covers 175 countries. Israel is highest, at 3.497; Timor-Leste is lowest, at -3.595. The middle country reads -0.514. Against 2001, 3 values changed (2 up, 1 down), the same countries are covered.
Government Cyber Security Capacity · Data for 2002
HighestIsrael
3.497LowestTimor-Leste
-3.595Shaded 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, 2002, 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 175 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | ISRWestern Asia | 3.497 |
| 2 | PRKEastern Asia | 2.771 |
| 3 | MYSSouth-eastern Asia | 2.608 |
| 4 | CHNEastern Asia | 2.570 |
| 5 | USANorthern America | 2.537 |
| 6 | KOREastern Asia | 1.945 |
| 7 | FRAWestern Europe | 1.879 |
| 8 | GBRNorthern Europe | 1.746 |
| 9 | CANNorthern America | 1.678 |
| 10 | HUNEastern Europe | 1.618 |
| 11 | AREWestern Asia | 1.573 |
| 12 | TWNEastern Asia | 1.556 |
| 13 | SGPSouth-eastern Asia | 1.438 |
| =14 | JPNEastern Asia | 1.422 |
| =14 | PRTSouthern Europe | 1.422 |
| 16 | SWENorthern Europe | 1.418 |
| 17 | FINNorthern Europe | 1.417 |
| 18 | RUSEastern Europe | 1.351 |
| 19 | DNKNorthern Europe | 1.326 |
| 20 | ESPSouthern Europe | 1.243 |
| 21 | JORWestern Asia | 1.190 |
| 22 | KWTWestern Asia | 1.163 |
| 23 | NZLAustralia and New Zealand | 1.114 |
| 24 | SAUWestern Asia | 1.100 |
| 25 | EGYNorthern Africa | 1.017 |
| 26 | MARNorthern Africa | 0.990 |
| 27 | TUNNorthern Africa | 0.940 |
| 28 | QATWestern Asia | 0.888 |
| 29 | POLEastern Europe | 0.885 |
| 30 | CHLSouth America | 0.866 |
| 31 | INDSouthern Asia | 0.739 |
| 32 | AZEWestern Asia | 0.732 |
| 33 | BRASouth America | 0.712 |
| 34 | CUBCaribbean | 0.706 |
| 35 | AUSAustralia and New Zealand | 0.683 |
| 36 | HKGEastern Asia | 0.625 |
| 37 | ROUEastern Europe | 0.602 |
| 38 | ESTNorthern Europe | 0.582 |
| 39 | AUTWestern Europe | 0.578 |
| 40 | LUXWestern Europe | 0.565 |
| 41 | MUSEastern Africa | 0.555 |
| 42 | CHEWestern Europe | 0.554 |
| 43 | VNMSouth-eastern Asia | 0.476 |
| 44 | BLREastern Europe | 0.474 |
| 45 | NORNorthern Europe | 0.473 |
| 46 | DZANorthern Africa | 0.471 |
| 47 | RWAEastern Africa | 0.438 |
| 48 | BHRWestern Asia | 0.421 |
| 49 | ITASouthern Europe | 0.411 |
| 50 | MNGEastern Asia | 0.399 |
| 51 | ARMWestern Asia | 0.397 |
| 52 | NLDWestern Europe | 0.378 |
| 53 | TURWestern Asia | 0.375 |
| 54 | BELWestern Europe | 0.372 |
| 55 | DEUWestern Europe | 0.229 |
| 56 | LVANorthern Europe | 0.223 |
| 57 | MDAEastern Europe | 0.136 |
| 58 | SENWestern Africa | 0.135 |
| 59 | PANCentral America | 0.127 |
| 60 | ZWEEastern Africa | 0.099 |
| 61 | URYSouth America | 0.089 |
| 62 | IRLNorthern Europe | 0.075 |
| 63 | ZAFSouthern Africa | 0.056 |
| 64 | ECUSouth America | 0.029 |
| 65 | SYRWestern Asia | 0.023 |
| 66 | LTUNorthern Europe | -0.026 |
| 67 | GRCSouthern Europe | -0.033 |
| 68 | MNESouthern Europe | -0.056 |
| 69 | JAMCaribbean | -0.102 |
| 70 | IRNSouthern Asia | -0.116 |
| 71 | UGAEastern Africa | -0.136 |
| 72 | ARGSouth America | -0.178 |
| 73 | MEXCentral America | -0.182 |
| 74 | KAZCentral Asia | -0.210 |
| 75 | MRTWestern Africa | -0.218 |
| 76 | BWASouthern Africa | -0.234 |
| 77 | LKASouthern Asia | -0.249 |
| 78 | BRBCaribbean | -0.270 |
| 79 | CZEEastern Europe | -0.291 |
| 80 | OMNWestern Asia | -0.294 |
| 81 | SWZSouthern Africa | -0.332 |
| 82 | LBNWestern Asia | -0.337 |
| 83 | IRQWestern Asia | -0.398 |
| 84 | MLTSouthern Europe | -0.409 |
| 85 | CYPWestern Asia | -0.428 |
| 86 | SDNNorthern Africa | -0.499 |
| 87 | PAKSouthern Asia | -0.513 |
| 88 | SYCEastern Africa | -0.514 |
| 89 | TGOWestern Africa | -0.548 |
| 90 | CRICentral America | -0.568 |
| 91 | AGOMiddle Africa | -0.616 |
| 92 | DOMCaribbean | -0.625 |
| 93 | SVKEastern Europe | -0.628 |
| 94 | YEMWestern Asia | -0.637 |
| 95 | GABMiddle Africa | -0.653 |
| 96 | LSOSouthern Africa | -0.759 |
| 97 | CPVWestern Africa | -0.786 |
| 98 | COLSouth America | -0.789 |
| 99 | KENEastern Africa | -0.802 |
| 100 | PHLSouth-eastern Asia | -0.855 |
| =101 | MDVSouthern Asia | -0.862 |
| =101 | ZMBEastern Africa | -0.862 |
| 103 | ERIEastern Africa | -0.874 |
| 104 | NAMSouthern Africa | -0.878 |
| 105 | COGMiddle Africa | -0.893 |
| 106 | SURSouth America | -0.916 |
| 107 | LBYNorthern Africa | -0.922 |
| 108 | IDNSouth-eastern Asia | -0.932 |
| 109 | UZBCentral Asia | -0.933 |
| 110 | GMBWestern Africa | -0.947 |
| 111 | SVNSouthern Europe | -0.969 |
| 112 | TZAEastern Africa | -0.993 |
| 113 | UKREastern Europe | -0.998 |
| 114 | GHAWestern Africa | -1.027 |
| 115 | TKMCentral Asia | -1.029 |
| 116 | ISLNorthern Europe | -1.034 |
| 117 | BGREastern Europe | -1.038 |
| 118 | VENSouth America | -1.046 |
| 119 | BENWestern Africa | -1.075 |
| 120 | HRVSouthern Europe | -1.080 |
| 121 | BGDSouthern Asia | -1.088 |
| 122 | CIVWestern Africa | -1.098 |
| 123 | NERWestern Africa | -1.120 |
| 124 | MMRSouth-eastern Asia | -1.153 |
| 125 | GNQMiddle Africa | -1.162 |
| 126 | SomalilandXSLEastern Africa | -1.170 |
| 127 | PERSouth America | -1.195 |
| 128 | TTOCaribbean | -1.230 |
| 129 | NGAWestern Africa | -1.235 |
| 130 | THASouth-eastern Asia | -1.253 |
| 131 | STPMiddle Africa | -1.339 |
| 132 | CODMiddle Africa | -1.374 |
| 133 | PRYSouth America | -1.376 |
| 134 | COMEastern Africa | -1.385 |
| 135 | FJIMelanesia | -1.430 |
| 136 | BDIEastern Africa | -1.482 |
| 137 | SRBSouthern Europe | -1.522 |
| 138 | CMRMiddle Africa | -1.549 |
| 139 | VUTMelanesia | -1.558 |
| 140 | KGZCentral Asia | -1.564 |
| 141 | ETHEastern Africa | -1.573 |
| 142 | GUYSouth America | -1.625 |
| 143 | MKDSouthern Europe | -1.629 |
| 144 | TCDMiddle Africa | -1.673 |
| 145 | SLVCentral America | -1.709 |
| 146 | ALBSouthern Europe | -1.724 |
| 147 | MOZEastern Africa | -1.768 |
| 148 | TJKCentral Asia | -1.815 |
| 149 | DJIEastern Africa | -1.874 |
| 150 | GEOWestern Asia | -1.882 |
| 151 | GTMCentral America | -1.928 |
| 152 | MDGEastern Africa | -1.987 |
| 153 | HNDCentral America | -2.109 |
| 154 | BOLSouth America | -2.117 |
| 155 | MWIEastern Africa | -2.126 |
| 156 | BFAWestern Africa | -2.173 |
| 157 | CAFMiddle Africa | -2.215 |
| 158 | KHMSouth-eastern Asia | -2.266 |
| 159 | NICCentral America | -2.287 |
| 160 | AFGSouthern Asia | -2.350 |
| 161 | NPLSouthern Asia | -2.351 |
| 162 | HTICaribbean | -2.366 |
| 163 | PNGMelanesia | -2.409 |
| 164 | XKXSouthern Europe | -2.454 |
| =165 | BTNSouthern Asia | -2.516 |
| =165 | GNBWestern Africa | -2.516 |
| 167 | MLIWestern Africa | -2.560 |
| 168 | SOMEastern Africa | -2.571 |
| 169 | LAOSouth-eastern Asia | -2.724 |
| 170 | LBRWestern Africa | -2.836 |
| 171 | BIHSouthern Europe | -2.938 |
| 172 | SLEWestern Africa | -2.988 |
| 173 | SLBMelanesia | -3.050 |
| 174 | GINWestern Africa | -3.118 |
| 175 | TLSSouth-eastern Asia | -3.595 |
02In 2002
At either end
The 5 countries at each end of the headline.
Highest
- 1
Israel3.497
- 2
North Korea2.771
- 3
Malaysia2.608
- 4
China2.570
- 5
United States2.537
Lowest
- 175
Timor-Leste-3.595
- 174
Guinea-3.118
- 173
Solomon Islands-3.050
- 172
Sierra Leone-2.988
- 171
Bosnia and Herzegovina-2.938
A higher value is the better result. The middle country reads -0.514. “Shared” marks a value another country also holds.
032001 → 2002
Since 2001
- +0 / −0countries joined / left
- 3values changed, of 175 in both
- 2 · 1rose · fell
- 172unchanged
Fell most
Timor-Leste-2.783 → -3.595−0.812
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 2002.
172 distinct values among 175
Values are stored exactly as published, to 3 decimals. 2 countries share 1.422. Countries sharing a value share a position too.
Nothing missing
Every one of the 175 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
175 rows · 4.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download cyber-security-capacity-2002-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 (2002). Government Cyber Security Capacity, 2002 [data set], describing 2002. As held by Nations Inquiry, https://nationsinquiry.com/datasets/cyber-security-capacity/2002
0626 held
Other years
‹ The year before
Government Cyber Security Capacity, 2001175 countries
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Government Cyber Security Capacity, 2003175 countries
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Government Cyber Security Capacity: every year26 held, with the data dictionary, coverage and licence.
How it has moved, charted by country