Data for 2008
Political Corruption Index, 2008
2008, as V-Dem Institute’s 2026 release gives it · stored as published, never rewritten
Political Corruption Index, 2008 covers 175 countries. Chad is highest, at 0.959; Denmark is lowest, at 0.002. The middle country reads 0.571. Against 2007, 65 values changed (30 up, 35 down), the same countries are covered.
Political Corruption Index · Data for 2008
HighestChad
0.959LowestDenmark
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, 2008, 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 | TCDMiddle Africa | 0.959 |
| 2 | AFGSouthern Asia | 0.957 |
| 3 | AZEWestern Asia | 0.956 |
| 4 | SOMEastern Africa | 0.946 |
| 5 | VENSouth America | 0.943 |
| 6 | NGAWestern Africa | 0.937 |
| =7 | CMRMiddle Africa | 0.933 |
| =7 | TJKCentral Asia | 0.933 |
| 9 | PAKSouthern Asia | 0.929 |
| 10 | CODMiddle Africa | 0.928 |
| =11 | GINWestern Africa | 0.923 |
| =11 | KGZCentral Asia | 0.923 |
| 13 | TKMCentral Asia | 0.912 |
| 14 | KHMSouth-eastern Asia | 0.901 |
| 15 | YEMWestern Asia | 0.899 |
| 16 | SYRWestern Asia | 0.896 |
| =17 | CAFMiddle Africa | 0.882 |
| =17 | GABMiddle Africa | 0.882 |
| 19 | MMRSouth-eastern Asia | 0.878 |
| 20 | TUNNorthern Africa | 0.871 |
| 21 | AGOMiddle Africa | 0.868 |
| 22 | UZBCentral Asia | 0.865 |
| 23 | LBYNorthern Africa | 0.860 |
| =24 | ARMWestern Asia | 0.858 |
| =24 | GNBWestern Africa | 0.858 |
| 26 | MLIWestern Africa | 0.855 |
| 27 | BDIEastern Africa | 0.854 |
| =28 | GNQMiddle Africa | 0.846 |
| =28 | HNDCentral America | 0.846 |
| =30 | NICCentral America | 0.845 |
| =30 | UKREastern Europe | 0.845 |
| =32 | KAZCentral Asia | 0.842 |
| =32 | MRTWestern Africa | 0.842 |
| 34 | IRQWestern Asia | 0.839 |
| 35 | COGMiddle Africa | 0.835 |
| 36 | HTICaribbean | 0.833 |
| 37 | EGYNorthern Africa | 0.831 |
| 38 | SLEWestern Africa | 0.829 |
| 39 | LBRWestern Africa | 0.824 |
| 40 | ZWEEastern Africa | 0.811 |
| 41 | SDNNorthern Africa | 0.807 |
| 42 | MDAEastern Europe | 0.806 |
| 43 | PHLSouth-eastern Asia | 0.804 |
| 44 | GTMCentral America | 0.797 |
| 45 | BGDSouthern Asia | 0.795 |
| 46 | UGAEastern Africa | 0.785 |
| 47 | LAOSouth-eastern Asia | 0.778 |
| 48 | TGOWestern Africa | 0.777 |
| =49 | ALBSouthern Europe | 0.757 |
| =49 | PRYSouth America | 0.757 |
| 51 | DOMCaribbean | 0.756 |
| 52 | IDNSouth-eastern Asia | 0.749 |
| 53 | SLVCentral America | 0.740 |
| 54 | KENEastern Africa | 0.739 |
| 55 | LBNWestern Asia | 0.737 |
| 56 | MDGEastern Africa | 0.734 |
| 57 | RUSEastern Europe | 0.731 |
| 58 | COMEastern Africa | 0.729 |
| 59 | IRNSouthern Asia | 0.728 |
| 60 | NPLSouthern Asia | 0.727 |
| 61 | SomalilandXSLEastern Africa | 0.712 |
| 62 | PRKEastern Asia | 0.711 |
| 63 | MARNorthern Africa | 0.707 |
| 64 | DJIEastern Africa | 0.697 |
| 65 | BOLSouth America | 0.696 |
| 66 | BIHSouthern Europe | 0.681 |
| 67 | ERIEastern Africa | 0.680 |
| 68 | ECUSouth America | 0.660 |
| 69 | THASouth-eastern Asia | 0.658 |
| 70 | DZANorthern Africa | 0.654 |
| 71 | MNGEastern Asia | 0.650 |
| 72 | ROUEastern Europe | 0.646 |
| 73 | CIVWestern Africa | 0.638 |
| 74 | SRBSouthern Europe | 0.637 |
| 75 | MWIEastern Africa | 0.631 |
| 76 | MDVSouthern Asia | 0.627 |
| 77 | GHAWestern Africa | 0.625 |
| =78 | CUBCaribbean | 0.619 |
| =78 | MKDSouthern Europe | 0.619 |
| 80 | PNGMelanesia | 0.612 |
| 81 | MEXCentral America | 0.609 |
| 82 | BENWestern Africa | 0.605 |
| 83 | SLBMelanesia | 0.603 |
| 84 | MYSSouth-eastern Asia | 0.594 |
| 85 | NERWestern Africa | 0.586 |
| 86 | TURWestern Asia | 0.582 |
| 87 | PANCentral America | 0.576 |
| 88 | XKXSouthern Europe | 0.571 |
| 89 | LSOSouthern Africa | 0.570 |
| 90 | GUYSouth America | 0.569 |
| 91 | VNMSouth-eastern Asia | 0.565 |
| 92 | GMBWestern Africa | 0.563 |
| 93 | LKASouthern Asia | 0.561 |
| 94 | RWAEastern Africa | 0.553 |
| 95 | ETHEastern Africa | 0.552 |
| =96 | ARGSouth America | 0.551 |
| =96 | INDSouthern Asia | 0.551 |
| 98 | CHNEastern Asia | 0.548 |
| 99 | MNESouthern Europe | 0.539 |
| 100 | PERSouth America | 0.533 |
| 101 | BFAWestern Africa | 0.525 |
| 102 | MOZEastern Africa | 0.519 |
| 103 | KWTWestern Asia | 0.513 |
| 104 | BHRWestern Asia | 0.507 |
| 105 | JORWestern Asia | 0.505 |
| 106 | BRASouth America | 0.494 |
| 107 | SWZSouthern Africa | 0.475 |
| 108 | SAUWestern Asia | 0.469 |
| 109 | MUSEastern Africa | 0.465 |
| 110 | TZAEastern Africa | 0.460 |
| 111 | ZAFSouthern Africa | 0.446 |
| 112 | HRVSouthern Europe | 0.442 |
| 113 | VUTMelanesia | 0.441 |
| 114 | COLSouth America | 0.408 |
| 115 | QATWestern Asia | 0.406 |
| 116 | SENWestern Africa | 0.397 |
| 117 | BLREastern Europe | 0.359 |
| 118 | BGREastern Europe | 0.352 |
| 119 | ZMBEastern Africa | 0.341 |
| 120 | TWNEastern Asia | 0.331 |
| 121 | STPMiddle Africa | 0.326 |
| 122 | SVKEastern Europe | 0.311 |
| 123 | SYCEastern Africa | 0.303 |
| 124 | HUNEastern Europe | 0.285 |
| 125 | ITASouthern Europe | 0.273 |
| 126 | OMNWestern Asia | 0.272 |
| 127 | TLSSouth-eastern Asia | 0.270 |
| 128 | GRCSouthern Europe | 0.262 |
| 129 | CZEEastern Europe | 0.258 |
| 130 | FJIMelanesia | 0.229 |
| 131 | CPVWestern Africa | 0.207 |
| 132 | SURSouth America | 0.199 |
| 133 | NAMSouthern Africa | 0.190 |
| 134 | CRICentral America | 0.188 |
| 135 | MLTSouthern Europe | 0.187 |
| 136 | KOREastern Asia | 0.170 |
| 137 | JAMCaribbean | 0.169 |
| =138 | BWASouthern Africa | 0.146 |
| =138 | LVANorthern Europe | 0.146 |
| 140 | LTUNorthern Europe | 0.145 |
| 141 | CYPWestern Asia | 0.135 |
| 142 | SVNSouthern Europe | 0.132 |
| 143 | TTOCaribbean | 0.130 |
| 144 | AREWestern Asia | 0.115 |
| 145 | JPNEastern Asia | 0.108 |
| 146 | GEOWestern Asia | 0.107 |
| 147 | ISRWestern Asia | 0.104 |
| 148 | BTNSouthern Asia | 0.095 |
| =149 | BRBCaribbean | 0.091 |
| =149 | PRTSouthern Europe | 0.091 |
| 151 | POLEastern Europe | 0.085 |
| 152 | CHLSouth America | 0.061 |
| =153 | AUTWestern Europe | 0.060 |
| =153 | HKGEastern Asia | 0.060 |
| 155 | FRAWestern Europe | 0.059 |
| 156 | LUXWestern Europe | 0.057 |
| 157 | USANorthern America | 0.055 |
| 158 | IRLNorthern Europe | 0.050 |
| 159 | URYSouth America | 0.041 |
| 160 | GBRNorthern Europe | 0.040 |
| 161 | ESPSouthern Europe | 0.038 |
| 162 | AUSAustralia and New Zealand | 0.035 |
| =163 | CANNorthern America | 0.033 |
| =163 | ESTNorthern Europe | 0.033 |
| 165 | BELWestern Europe | 0.031 |
| 166 | CHEWestern Europe | 0.024 |
| 167 | NLDWestern Europe | 0.016 |
| 168 | FINNorthern Europe | 0.015 |
| 169 | ISLNorthern Europe | 0.013 |
| 170 | DEUWestern Europe | 0.011 |
| 171 | SGPSouth-eastern Asia | 0.010 |
| 172 | NZLAustralia and New Zealand | 0.009 |
| 173 | NORNorthern Europe | 0.006 |
| 174 | SWENorthern Europe | 0.004 |
| 175 | DNKNorthern Europe | 0.002 |
02In 2008
At either end
The 5 countries at each end of the headline.
Highest
- 1
Chad0.959
- 2
Afghanistan0.957
- 3
Azerbaijan0.956
- 4
Somalia0.946
- 5
Venezuela0.943
Lowest
- 175
Denmark0.002
- 174
Sweden0.004
- 173
Norway0.006
- 172
New Zealand0.009
- 171
Singapore0.010
A higher value is the worse result. The middle country reads 0.571. “Shared” marks a value another country also holds.
032007 → 2008
Since 2007
What changed between 2007 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 65values changed, of 175 in both
- 30 · 35rose · fell
- 110unchanged
Rose most
Zambia0.198 → 0.341+0.143
Pakistan0.866 → 0.929+0.063
Italy0.231 → 0.273+0.042
South Korea0.132 → 0.170+0.038
Albania0.722 → 0.757+0.035
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 2008.
161 distinct values among 175
Values are stored exactly as published, to 3 decimals. 2 countries share 0.933. 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 175 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
175 rows · 4.7 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download political-corruption-2008-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 (2008). Political Corruption Index, 2008 [data set], describing 2008. As held by Nations Inquiry, https://nationsinquiry.com/datasets/political-corruption/2008
0636 held
Other years
‹ The year before
Political Corruption Index, 2007175 countries
The year after ›
Political Corruption Index, 2009175 countries
All of them
Political Corruption Index: every year36 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Political Corruption Index, 2008: questions and answers
Which country has the highest political corruption in Political Corruption Index, 2008?
Chad, at 0.959, of the 175 countries in the file.
What year does Political Corruption Index, 2008 describe?
2008.
How many countries does Political Corruption Index, 2008 cover?
175.
Where can I download Political Corruption Index, 2008?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Political Corruption Index, 2008 the newest?
No. The newest held here is Political Corruption Index, 2025.