Data for 2025
Government Dissemination of False Information (Domestic), 2025
2025, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
V-Dem's measure of government disinformation asks how often a government and its agents use social media to spread misleading views or false information to their own population, from never to on every key political issue. It is an expert-coded estimate on an open-ended scale centred near zero, and a higher figure means less disinformation.
Government Dissemination of False Information (Domestic), 2025 covers 176 countries. Latvia is highest, at 2.930; South Sudan is lowest, at -3.392. The middle country reads -0.114. Against 2024, 75 values changed (37 up, 38 down), the same countries are covered.
Government Dissemination of False Information (Domestic) · Data for 2025
HighestLatvia
2.930LowestSouth Sudan
-3.392Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Government Dissemination of False Information (Domestic), 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 | LVANorthern Europe | 2.930 |
| 2 | DNKNorthern Europe | 2.743 |
| 3 | NORNorthern Europe | 2.558 |
| 4 | CHEWestern Europe | 2.534 |
| 5 | SWENorthern Europe | 2.531 |
| 6 | AUSAustralia and New Zealand | 2.393 |
| 7 | DEUWestern Europe | 2.366 |
| 8 | SYCEastern Africa | 2.319 |
| 9 | BELWestern Europe | 2.316 |
| 10 | VUTMelanesia | 2.307 |
| 11 | ESTNorthern Europe | 2.223 |
| 12 | JAMCaribbean | 2.092 |
| 13 | IRLNorthern Europe | 2.053 |
| 14 | FINNorthern Europe | 2.030 |
| 15 | URYSouth America | 2.003 |
| 16 | PRTSouthern Europe | 2.001 |
| 17 | BWASouthern Africa | 1.953 |
| 18 | POLEastern Europe | 1.949 |
| 19 | PNGMelanesia | 1.896 |
| 20 | BRASouth America | 1.882 |
| 21 | CZEEastern Europe | 1.873 |
| 22 | GMBWestern Africa | 1.859 |
| 23 | ESPSouthern Europe | 1.610 |
| 24 | DOMCaribbean | 1.596 |
| 25 | PANCentral America | 1.587 |
| 26 | BENWestern Africa | 1.576 |
| 27 | CANNorthern America | 1.554 |
| 28 | FRAWestern Europe | 1.541 |
| 29 | SLBMelanesia | 1.493 |
| 30 | NLDWestern Europe | 1.476 |
| 31 | LUXWestern Europe | 1.440 |
| 32 | SGPSouth-eastern Asia | 1.407 |
| 33 | SVNSouthern Europe | 1.352 |
| 34 | ZMBEastern Africa | 1.328 |
| 35 | STPMiddle Africa | 1.256 |
| 36 | BRBCaribbean | 1.252 |
| 37 | ROUEastern Europe | 1.229 |
| 38 | KOREastern Asia | 1.132 |
| 39 | ISLNorthern Europe | 1.129 |
| 40 | GRCSouthern Europe | 1.103 |
| 41 | AUTWestern Europe | 1.077 |
| 42 | ZAFSouthern Africa | 1.062 |
| 43 | GHAWestern Africa | 1.018 |
| 44 | SURSouth America | 0.994 |
| 45 | TWNEastern Asia | 0.993 |
| 46 | TTOCaribbean | 0.989 |
| 47 | BTNSouthern Asia | 0.987 |
| 48 | NZLAustralia and New Zealand | 0.980 |
| 49 | NGAWestern Africa | 0.978 |
| 50 | JPNEastern Asia | 0.962 |
| 51 | TLSSouth-eastern Asia | 0.959 |
| 52 | CHLSouth America | 0.952 |
| 53 | LTUNorthern Europe | 0.947 |
| 54 | BGREastern Europe | 0.924 |
| 55 | GTMCentral America | 0.882 |
| 56 | XKXSouthern Europe | 0.856 |
| 57 | GBRNorthern Europe | 0.848 |
| 58 | CYPWestern Asia | 0.776 |
| 59 | ITASouthern Europe | 0.729 |
| 60 | MYSSouth-eastern Asia | 0.684 |
| 61 | AGOMiddle Africa | 0.673 |
| 62 | ARGSouth America | 0.593 |
| 63 | NAMSouthern Africa | 0.590 |
| 64 | MUSEastern Africa | 0.554 |
| 65 | MDVSouthern Asia | 0.528 |
| 66 | MKDSouthern Europe | 0.439 |
| 67 | MNESouthern Europe | 0.433 |
| 68 | ISRWestern Asia | 0.432 |
| 69 | CPVWestern Africa | 0.362 |
| 70 | MDAEastern Europe | 0.360 |
| 71 | NERWestern Africa | 0.281 |
| 72 | MWIEastern Africa | 0.265 |
| 73 | LAOSouth-eastern Asia | 0.239 |
| 74 | RWAEastern Africa | 0.162 |
| 75 | THASouth-eastern Asia | 0.147 |
| 76 | HNDCentral America | 0.127 |
| 77 | LKASouthern Asia | 0.073 |
| 78 | BIHSouthern Europe | 0.060 |
| 79 | PRYSouth America | 0.055 |
| 80 | NPLSouthern Asia | 0.021 |
| 81 | MLTSouthern Europe | 0.015 |
| 82 | GABMiddle Africa | 0.008 |
| 83 | TUNNorthern Africa | 0.000 |
| 84 | BFAWestern Africa | -0.026 |
| 85 | COMEastern Africa | -0.039 |
| 86 | SVKEastern Europe | -0.078 |
| 87 | SENWestern Africa | -0.094 |
| 88 | PERSouth America | -0.107 |
| 89 | ALBSouthern Europe | -0.122 |
| 90 | LSOSouthern Africa | -0.142 |
| 91 | ECUSouth America | -0.154 |
| 92 | FJIMelanesia | -0.158 |
| 93 | SWZSouthern Africa | -0.162 |
| 94 | HRVSouthern Europe | -0.166 |
| 95 | BGDSouthern Asia | -0.234 |
| 96 | QATWestern Asia | -0.255 |
| 97 | OMNWestern Asia | -0.264 |
| 98 | UKREastern Europe | -0.326 |
| 99 | MRTWestern Africa | -0.341 |
| 100 | DJIEastern Africa | -0.407 |
| 101 | LBRWestern Africa | -0.449 |
| 102 | CIVWestern Africa | -0.450 |
| 103 | AREWestern Asia | -0.455 |
| 104 | VNMSouth-eastern Asia | -0.476 |
| 105 | TZAEastern Africa | -0.514 |
| 106 | SOMEastern Africa | -0.526 |
| 107 | LBYNorthern Africa | -0.556 |
| 108 | IDNSouth-eastern Asia | -0.579 |
| 109 | BHRWestern Asia | -0.596 |
| 110 | SomalilandXSLEastern Africa | -0.613 |
| 111 | MDGEastern Africa | -0.638 |
| =112 | MLIWestern Africa | -0.664 |
| =112 | USANorthern America | -0.664 |
| 114 | PAKSouthern Asia | -0.671 |
| 115 | SLEWestern Africa | -0.700 |
| 116 | CRICentral America | -0.728 |
| 117 | SYRWestern Asia | -0.764 |
| 118 | MARNorthern Africa | -0.776 |
| 119 | CODMiddle Africa | -0.786 |
| 120 | HTICaribbean | -0.808 |
| 121 | JORWestern Asia | -0.813 |
| 122 | MNGEastern Asia | -0.835 |
| 123 | COGMiddle Africa | -0.922 |
| 124 | KENEastern Africa | -0.990 |
| 125 | LBNWestern Asia | -1.021 |
| 126 | CMRMiddle Africa | -1.022 |
| 127 | MOZEastern Africa | -1.048 |
| 128 | BOLSouth America | -1.063 |
| =129 | DZANorthern Africa | -1.078 |
| =129 | TGOWestern Africa | -1.078 |
| 131 | MEXCentral America | -1.179 |
| 132 | GUYSouth America | -1.225 |
| 133 | UGAEastern Africa | -1.276 |
| 134 | KGZCentral Asia | -1.283 |
| 135 | KAZCentral Asia | -1.357 |
| 136 | KWTWestern Asia | -1.359 |
| 137 | UZBCentral Asia | -1.400 |
| 138 | INDSouthern Asia | -1.413 |
| 139 | IRQWestern Asia | -1.483 |
| 140 | COLSouth America | -1.494 |
| 141 | SLVCentral America | -1.513 |
| 142 | GNBWestern Africa | -1.518 |
| 143 | BDIEastern Africa | -1.601 |
| 144 | EGYNorthern Africa | -1.643 |
| 145 | TJKCentral Asia | -1.676 |
| 146 | ARMWestern Asia | -1.699 |
| 147 | GNQMiddle Africa | -1.716 |
| 148 | TCDMiddle Africa | -1.806 |
| 149 | PHLSouth-eastern Asia | -1.878 |
| =150 | GEOWestern Asia | -1.913 |
| =150 | TURWestern Asia | -1.913 |
| 152 | ETHEastern Africa | -2.023 |
| 153 | YEMWestern Asia | -2.033 |
| 154 | SAUWestern Asia | -2.062 |
| 155 | CAFMiddle Africa | -2.098 |
| 156 | KHMSouth-eastern Asia | -2.104 |
| 157 | CUBCaribbean | -2.122 |
| 158 | ERIEastern Africa | -2.127 |
| 159 | SDNNorthern Africa | -2.164 |
| 160 | CHNEastern Asia | -2.202 |
| 161 | IRNSouthern Asia | -2.267 |
| 162 | AFGSouthern Asia | -2.297 |
| 163 | SRBSouthern Europe | -2.331 |
| 164 | HKGEastern Asia | -2.353 |
| 165 | GINWestern Africa | -2.493 |
| 166 | TKMCentral Asia | -2.521 |
| 167 | ZWEEastern Africa | -2.598 |
| 168 | PRKEastern Asia | -2.618 |
| 169 | HUNEastern Europe | -2.652 |
| 170 | MMRSouth-eastern Asia | -2.721 |
| 171 | RUSEastern Europe | -2.728 |
| 172 | NICCentral America | -2.786 |
| 173 | AZEWestern Asia | -3.033 |
| 174 | VENSouth America | -3.189 |
| 175 | BLREastern Europe | -3.299 |
| 176 | SSDEastern Africa | -3.392 |
02In 2025
At either end
The 5 countries at each end of the headline.
Highest
- 1
Latvia2.930
- 2
Denmark2.743
- 3
Norway2.558
- 4
Switzerland2.534
- 5
Sweden2.531
Lowest
- 176
South Sudan-3.392
- 175
Belarus-3.299
- 174
Venezuela-3.189
- 173
Azerbaijan-3.033
- 172
Nicaragua-2.786
A higher value is the better result. The middle country reads -0.114. “Shared” marks a value another country also holds.
032024 → 2025
Since 2024
- +0 / −0countries joined / left
- 75values changed, of 176 in both
- 37 · 38rose · fell
- 101unchanged
Rose most
Syria-2.456 → -0.764+1.692
Mauritius-1.105 → 0.554+1.659
Bangladesh-1.401 → -0.234+1.167
Brazil0.925 → 1.882+0.957
South Korea0.235 → 1.132+0.897
Fell most
United States1.173 → -0.664−1.837
Lithuania2.630 → 0.947−1.683
New Zealand2.555 → 0.980−1.575
Guinea-0.985 → -2.493−1.508
Czechia2.790 → 1.873−0.917
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.
173 distinct values among 176
Values are stored exactly as published, to 3 decimals. 2 countries share -0.664. 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 · 4.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download government-disinformation-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 Dissemination of False Information (Domestic), 2025 [data set], describing 2025. As held by Nations Inquiry, https://nationsinquiry.com/datasets/government-disinformation/2025
0626 held
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Government Dissemination of False Information (Domestic): every year26 held, with the data dictionary, coverage and licence.
How it has moved, charted by country