Data for 1994
Political Corruption Index, 1994
1994, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
V-Dem's Political Corruption Index asks how pervasive corruption is across the state — bribery and embezzlement in the executive and the wider public sector, and corruption in the legislature and the courts. It runs from 0 to 1, and unlike V-Dem's other indices a higher figure is worse: more corrupt.
Political Corruption Index, 1994 covers 171 countries. Somalia is highest, at 0.958; Denmark is lowest, at 0.002. The middle country reads 0.540. Against 1993, 49 values changed (30 up, 19 down), the same countries are covered.
Political Corruption Index · Data for 1994
HighestSomalia
0.958LowestDenmark
0.002Shaded by value in five groups of equal size, darkest at the lowest end.
01Position · derived
The table
Every country and every column of Political Corruption Index, 1994, 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 171 countries · select a heading to sort
| derived | ||
|---|---|---|
| 1 | SOMEastern Africa | 0.958 |
| 2 | TCDMiddle Africa | 0.955 |
| 3 | IDNSouth-eastern Asia | 0.940 |
| 4 | AZEWestern Asia | 0.928 |
| 5 | CMRMiddle Africa | 0.924 |
| 6 | CODMiddle Africa | 0.915 |
| 7 | TKMCentral Asia | 0.905 |
| 8 | KHMSouth-eastern Asia | 0.901 |
| 9 | PRYSouth America | 0.893 |
| 10 | AFGSouthern Asia | 0.890 |
| 11 | IRQWestern Asia | 0.888 |
| 12 | SRBSouthern Europe | 0.884 |
| 13 | GABMiddle Africa | 0.882 |
| 14 | MMRSouth-eastern Asia | 0.878 |
| 15 | TUNNorthern Africa | 0.872 |
| 16 | SYRWestern Asia | 0.869 |
| 17 | KENEastern Africa | 0.862 |
| 18 | MRTWestern Africa | 0.861 |
| 19 | LBYNorthern Africa | 0.860 |
| 20 | GEOWestern Asia | 0.858 |
| 21 | GNQMiddle Africa | 0.853 |
| 22 | TGOWestern Africa | 0.851 |
| 23 | GINWestern Africa | 0.846 |
| 24 | HNDCentral America | 0.845 |
| 25 | GNBWestern Africa | 0.841 |
| =26 | HTICaribbean | 0.840 |
| =26 | NGAWestern Africa | 0.840 |
| 28 | KGZCentral Asia | 0.836 |
| 29 | PAKSouthern Asia | 0.831 |
| 30 | NPLSouthern Asia | 0.826 |
| 31 | SDNNorthern Africa | 0.824 |
| 32 | DOMCaribbean | 0.822 |
| 33 | LBRWestern Africa | 0.818 |
| 34 | MLIWestern Africa | 0.815 |
| 35 | BGDSouthern Asia | 0.813 |
| 36 | GTMCentral America | 0.812 |
| 37 | EGYNorthern Africa | 0.811 |
| 38 | SLEWestern Africa | 0.802 |
| 39 | AGOMiddle Africa | 0.799 |
| 40 | LBNWestern Asia | 0.795 |
| 41 | UZBCentral Asia | 0.792 |
| 42 | COMEastern Africa | 0.791 |
| 43 | MARNorthern Africa | 0.790 |
| 44 | TJKCentral Asia | 0.785 |
| 45 | LAOSouth-eastern Asia | 0.779 |
| 46 | MDVSouthern Asia | 0.774 |
| 47 | MDAEastern Europe | 0.756 |
| 48 | THASouth-eastern Asia | 0.751 |
| 49 | RUSEastern Europe | 0.738 |
| 50 | MDGEastern Africa | 0.729 |
| 51 | CAFMiddle Africa | 0.726 |
| 52 | YEMWestern Asia | 0.720 |
| 53 | SLVCentral America | 0.719 |
| 54 | KAZCentral Asia | 0.713 |
| 55 | ROUEastern Europe | 0.709 |
| 56 | PHLSouth-eastern Asia | 0.707 |
| 57 | DJIEastern Africa | 0.701 |
| 58 | SomalilandXSLEastern Africa | 0.698 |
| =59 | BOLSouth America | 0.696 |
| =59 | VENSouth America | 0.696 |
| 61 | PERSouth America | 0.691 |
| 62 | ALBSouthern Europe | 0.682 |
| 63 | MEXCentral America | 0.679 |
| 64 | PRKEastern Asia | 0.675 |
| 65 | UKREastern Europe | 0.670 |
| 66 | ECUSouth America | 0.646 |
| =67 | GHAWestern Africa | 0.641 |
| =67 | UGAEastern Africa | 0.641 |
| 69 | IRNSouthern Asia | 0.633 |
| 70 | COGMiddle Africa | 0.629 |
| 71 | CIVWestern Africa | 0.622 |
| 72 | CUBCaribbean | 0.619 |
| 73 | PNGMelanesia | 0.612 |
| 74 | ARGSouth America | 0.611 |
| 75 | HRVSouthern Europe | 0.588 |
| 76 | BENWestern Africa | 0.586 |
| 77 | ZMBEastern Africa | 0.584 |
| 78 | DZANorthern Africa | 0.577 |
| 79 | PANCentral America | 0.576 |
| 80 | CHNEastern Asia | 0.574 |
| 81 | BIHSouthern Europe | 0.571 |
| 82 | NICCentral America | 0.557 |
| 83 | INDSouthern Asia | 0.551 |
| 84 | MYSSouth-eastern Asia | 0.550 |
| 85 | NERWestern Africa | 0.548 |
| 86 | BFAWestern Africa | 0.540 |
| 87 | VNMSouth-eastern Asia | 0.534 |
| 88 | MWIEastern Africa | 0.533 |
| 89 | ZWEEastern Africa | 0.524 |
| 90 | MKDSouthern Europe | 0.517 |
| 91 | BRASouth America | 0.511 |
| 92 | KWTWestern Asia | 0.500 |
| 93 | ETHEastern Africa | 0.496 |
| 94 | ARMWestern Asia | 0.492 |
| 95 | BLREastern Europe | 0.488 |
| 96 | TURWestern Asia | 0.483 |
| 97 | BDIEastern Africa | 0.479 |
| 98 | MUSEastern Africa | 0.465 |
| 99 | JORWestern Asia | 0.464 |
| 100 | LSOSouthern Africa | 0.459 |
| 101 | RWAEastern Africa | 0.457 |
| 102 | QATWestern Asia | 0.445 |
| 103 | VUTMelanesia | 0.441 |
| 104 | MOZEastern Africa | 0.440 |
| 105 | LKASouthern Asia | 0.438 |
| =106 | COLSouth America | 0.434 |
| =106 | GUYSouth America | 0.434 |
| =108 | SYCEastern Africa | 0.432 |
| =108 | TZAEastern Africa | 0.432 |
| 110 | SAUWestern Asia | 0.431 |
| 111 | GMBWestern Africa | 0.429 |
| 112 | SWZSouthern Africa | 0.425 |
| 113 | SENWestern Africa | 0.414 |
| 114 | ZAFSouthern Africa | 0.389 |
| =115 | SVKEastern Europe | 0.380 |
| =115 | TWNEastern Asia | 0.380 |
| =117 | BGREastern Europe | 0.374 |
| =117 | SLBMelanesia | 0.374 |
| 119 | LVANorthern Europe | 0.368 |
| 120 | OMNWestern Asia | 0.346 |
| 121 | ERIEastern Africa | 0.340 |
| 122 | FJIMelanesia | 0.309 |
| 123 | KOREastern Asia | 0.308 |
| 124 | MNGEastern Asia | 0.294 |
| 125 | ITASouthern Europe | 0.276 |
| 126 | GRCSouthern Europe | 0.271 |
| 127 | CRICentral America | 0.264 |
| 128 | CZEEastern Europe | 0.262 |
| 129 | STPMiddle Africa | 0.253 |
| 130 | HUNEastern Europe | 0.245 |
| 131 | CPVWestern Africa | 0.237 |
| 132 | SURSouth America | 0.215 |
| 133 | LTUNorthern Europe | 0.192 |
| 134 | NAMSouthern Africa | 0.190 |
| 135 | CYPWestern Asia | 0.184 |
| =136 | ESTNorthern Europe | 0.173 |
| =136 | MLTSouthern Europe | 0.173 |
| 138 | JAMCaribbean | 0.169 |
| 139 | BTNSouthern Asia | 0.166 |
| 140 | TTOCaribbean | 0.143 |
| 141 | BWASouthern Africa | 0.138 |
| 142 | SVNSouthern Europe | 0.137 |
| 143 | AREWestern Asia | 0.135 |
| 144 | ISRWestern Asia | 0.117 |
| 145 | JPNEastern Asia | 0.111 |
| 146 | PRTSouthern Europe | 0.100 |
| 147 | BRBCaribbean | 0.091 |
| 148 | POLEastern Europe | 0.084 |
| 149 | IRLNorthern Europe | 0.080 |
| 150 | AUTWestern Europe | 0.065 |
| 151 | HKGEastern Asia | 0.063 |
| 152 | CHLSouth America | 0.061 |
| 153 | FRAWestern Europe | 0.059 |
| 154 | LUXWestern Europe | 0.057 |
| 155 | USANorthern America | 0.055 |
| 156 | BELWestern Europe | 0.047 |
| 157 | URYSouth America | 0.046 |
| 158 | ESPSouthern Europe | 0.038 |
| =159 | AUSAustralia and New Zealand | 0.035 |
| =159 | CANNorthern America | 0.035 |
| 161 | GBRNorthern Europe | 0.030 |
| 162 | CHEWestern Europe | 0.023 |
| 163 | NLDWestern Europe | 0.018 |
| 164 | FINNorthern Europe | 0.015 |
| 165 | ISLNorthern Europe | 0.013 |
| 166 | DEUWestern Europe | 0.011 |
| 167 | SGPSouth-eastern Asia | 0.010 |
| 168 | NZLAustralia and New Zealand | 0.009 |
| 169 | NORNorthern Europe | 0.006 |
| 170 | SWENorthern Europe | 0.004 |
| 171 | DNKNorthern Europe | 0.002 |
02In 1994
At either end
The 5 countries at each end of the headline.
Highest
- 1
Somalia0.958
- 2
Chad0.955
- 3
Indonesia0.940
- 4
Azerbaijan0.928
- 5
Cameroon0.924
Lowest
- 171
Denmark0.002
- 170
Sweden0.004
- 169
Norway0.006
- 168
New Zealand0.009
- 167
Singapore0.010
A higher value is the worse result. The middle country reads 0.540. “Shared” marks a value another country also holds.
031993 → 1994
Since 1993
What changed between 1993 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 49values changed, of 171 in both
- 30 · 19rose · fell
- 122unchanged
Rose most
Malawi0.144 → 0.533+0.389
Bosnia and Herzegovina0.444 → 0.571+0.127
Guinea-Bissau0.730 → 0.841+0.111
Albania0.591 → 0.682+0.091
Azerbaijan0.841 → 0.928+0.087
Fell most
Mexico0.769 → 0.679−0.090
United Arab Emirates0.205 → 0.135−0.070
South Africa0.441 → 0.389−0.052
Brazil0.563 → 0.511−0.052
Ghana0.690 → 0.641−0.049
Both years come from the same release, so a difference here is a change in the data, not a revision of it. 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.
One year of the 2026 release
Every year in this series comes from V-Dem Institute’s 2026 release, recalculated on one method. It can differ from what was first published for 1994.
162 distinct values among 171
Values are stored exactly as published, to 3 decimals. 2 countries share 0.840. Countries sharing a value share a position too.
The position is ours
V-Dem Institute publishes values only; the order is this site’s.
Nothing missing
Every one of the 171 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
171 rows · 4.6 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download political-corruption-1994-nations-inquiry.csv - ↗
The publisher’s original
V-Dem Institute’s own file, on its own site.
V-Dem-CY-Core-v16_csv.zip
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-SA 4.0 · what it allows, in plain words
Cite this edition
V-Dem Institute, University of Gothenburg (1994). Political Corruption Index, 1994 [data set], describing 1994. As held by Nations Inquiry, https://nationsinquiry.com/datasets/political-corruption/1994
0636 held
Other years
‹ The year before
Political Corruption Index, 1993171 countries
The year after ›
Political Corruption Index, 1995171 countries
All of them
Political Corruption Index: every year36 held, with the data dictionary, coverage and licence.
How it has moved, charted by country