Data for 2008
Control of Corruption, 2008
Figures for 2008, as World Bank Group published them · stored as published, never rewritten
Control of Corruption, 2008 covers 204 countries on 2 measures. Denmark is highest, at 2.30263; Somalia is lowest, at -1.68835. The middle country reads -0.25097. Against 2007, 203 values changed (118 up, 85 down), 1 country joined.
Control of Corruption · Data for 2008
HighestDenmark
2.30263LowestSomalia
-1.68835Shaded by value in five groups of equal size, darkest at the better end.
01Position · derived
The table
Every country and every column of Control of Corruption, 2008, as published. World Bank Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 204 countries · select a heading to sort
| derived | |||
|---|---|---|---|
| 1 | DNKNorthern Europe | 2.30263 | 94.4902 |
| 2 | FINNorthern Europe | 2.30144 | 94.4661 |
| 3 | NZLAustralia and New Zealand | 2.25623 | 93.5543 |
| 4 | CHEWestern Europe | 2.17657 | 91.9474 |
| 5 | SGPSouth-eastern Asia | 2.17003 | 91.8154 |
| 6 | SWENorthern Europe | 2.15962 | 91.6055 |
| 7 | ISLNorthern Europe | 2.10754 | 90.5551 |
| 8 | NLDWestern Europe | 2.07334 | 89.8651 |
| 9 | LUXWestern Europe | 2.07302 | 89.8587 |
| 10 | AUSAustralia and New Zealand | 1.98743 | 88.1321 |
| 11 | CANNorthern America | 1.94474 | 87.2710 |
| 12 | NORNorthern Europe | 1.85710 | 85.5032 |
| 13 | AUTWestern Europe | 1.85323 | 85.4251 |
| 14 | DEUWestern Europe | 1.68956 | 82.1237 |
| 15 | HKGEastern Asia | 1.65839 | 81.4949 |
| 16 | GBRNorthern Europe | 1.57333 | 79.7791 |
| 17 | IRLNorthern Europe | 1.46790 | 77.6524 |
| 18 | FRAWestern Europe | 1.45201 | 77.3320 |
| 19 | BELWestern Europe | 1.40456 | 76.3749 |
| 20 | CHLSouth America | 1.39774 | 76.2372 |
| 21 | BRBCaribbean | 1.33465 | 74.9646 |
| =22 | ANDSouthern Europe | 1.33201 | 74.9114 |
| =22 | AIACaribbean | 1.33201 | 74.9114 |
| =22 | ABWCaribbean | 1.33201 | 74.9114 |
| =22 | BMUNorthern America | 1.33201 | 74.9114 |
| 26 | BHSCaribbean | 1.32399 | 74.7495 |
| 27 | USANorthern America | 1.32363 | 74.7424 |
| 28 | LIEWestern Europe | 1.21424 | 72.5358 |
| 29 | CYPWestern Asia | 1.18146 | 71.8746 |
| 30 | URYSouth America | 1.17859 | 71.8165 |
| 31 | ESPSouthern Europe | 1.14690 | 71.1773 |
| 32 | LCACaribbean | 1.12936 | 70.8236 |
| 33 | QATWestern Asia | 1.08974 | 70.0245 |
| 34 | BWASouthern Africa | 1.05417 | 69.3069 |
| =35 | ATGCaribbean | 1.04590 | 69.1401 |
| =35 | KNACaribbean | 1.04590 | 69.1401 |
| 37 | ESTNorthern Europe | 1.01307 | 68.4779 |
| 38 | MLTSouthern Europe | 0.99763 | 68.1664 |
| 39 | VCTCaribbean | 0.97038 | 67.6166 |
| 40 | JPNEastern Asia | 0.95811 | 67.3691 |
| 41 | PRTSouthern Europe | 0.93097 | 66.8217 |
| 42 | AREWestern Asia | 0.90944 | 66.3874 |
| 43 | CPVWestern Africa | 0.90715 | 66.3413 |
| 44 | SVNSouthern Europe | 0.89246 | 66.0450 |
| 45 | BTNSouthern Asia | 0.87632 | 65.7194 |
| =46 | CYMCaribbean | 0.86372 | 65.4653 |
| =46 | GUMMicronesia | 0.86372 | 65.4653 |
| =46 | VIRCaribbean | 0.86372 | 65.4653 |
| 49 | COKPolynesia | 0.72142 | 62.5948 |
| 50 | DMACaribbean | 0.70058 | 62.1745 |
| 51 | ISRWestern Asia | 0.68909 | 61.9427 |
| 52 | NAMSouthern Africa | 0.60347 | 60.2156 |
| 53 | TWNEastern Asia | 0.59249 | 59.9941 |
| 54 | MUSEastern Africa | 0.56278 | 59.3947 |
| 55 | CUBCaribbean | 0.52615 | 58.6558 |
| 56 | CRICentral America | 0.48706 | 57.8673 |
| 57 | PRICaribbean | 0.47531 | 57.6304 |
| 58 | GRDCaribbean | 0.45298 | 57.1800 |
| 59 | HUNEastern Europe | 0.43296 | 56.7762 |
| 60 | POLEastern Europe | 0.43102 | 56.7371 |
| 61 | CZEEastern Europe | 0.42014 | 56.5175 |
| 62 | KOREastern Asia | 0.41625 | 56.4391 |
| 63 | VUTMelanesia | 0.41315 | 56.3765 |
| 64 | ASMPolynesia | 0.39543 | 56.0191 |
| 65 | OMNWestern Asia | 0.33113 | 54.7221 |
| 66 | SVKEastern Europe | 0.32542 | 54.6068 |
| 67 | ITASouthern Europe | 0.31320 | 54.3604 |
| 68 | LVANorthern Europe | 0.28267 | 53.7445 |
| 69 | BRNSouth-eastern Asia | 0.27489 | 53.5876 |
| 70 | WSMPolynesia | 0.27334 | 53.5563 |
| 71 | JORWestern Asia | 0.23883 | 52.8602 |
| 72 | SWZSouthern Africa | 0.19015 | 51.8782 |
| 73 | LTUNorthern Europe | 0.18342 | 51.7426 |
| 74 | ZAFSouthern Africa | 0.17892 | 51.6517 |
| 75 | GRCSouthern Europe | 0.17328 | 51.5379 |
| 76 | GEOWestern Asia | 0.12843 | 50.6334 |
| 77 | LSOSouthern Africa | 0.11437 | 50.3498 |
| 78 | SYCEastern Africa | 0.11235 | 50.3088 |
| 79 | SURSouth America | 0.10696 | 50.2003 |
| 80 | KIRMicronesia | 0.09687 | 49.9967 |
| 81 | KWTWestern Asia | 0.08543 | 49.7659 |
| 82 | HRVSouthern Europe | 0.06963 | 49.4472 |
| 83 | TURWestern Asia | 0.05603 | 49.1729 |
| 84 | FJIMelanesia | 0.05166 | 49.0847 |
| 85 | RWAEastern Africa | 0.04770 | 49.0049 |
| 86 | BHRWestern Asia | 0.01966 | 48.4393 |
| 87 | BLZCentral America | 0.01420 | 48.3292 |
| 88 | TTOCaribbean | -0.06270 | 46.7779 |
| 89 | MACEastern Asia | -0.07286 | 46.5730 |
| 90 | GHAWestern Africa | -0.07468 | 46.5363 |
| 91 | BRASouth America | -0.09059 | 46.2152 |
| 92 | MYSSouth-eastern Asia | -0.09763 | 46.0734 |
| =93 | FSMMicronesia | -0.09864 | 46.0529 |
| =93 | TUVPolynesia | -0.09864 | 46.0529 |
| 95 | BGREastern Europe | -0.10438 | 45.9371 |
| =96 | NRUMicronesia | -0.17341 | 44.5448 |
| =96 | PLWMicronesia | -0.17341 | 44.5448 |
| 98 | MDGEastern Africa | -0.17704 | 44.4715 |
| 99 | SAUWestern Asia | -0.20559 | 43.8955 |
| 100 | PANCentral America | -0.22043 | 43.5962 |
| 101 | COLSouth America | -0.22889 | 43.4256 |
| 102 | MNESouthern Europe | -0.24463 | 43.1082 |
| 103 | MKDSouthern Europe | -0.25732 | 42.8521 |
| 104 | LKASouthern Asia | -0.26523 | 42.6925 |
| 105 | DJIEastern Africa | -0.28649 | 42.2637 |
| 106 | JAMCaribbean | -0.29014 | 42.1901 |
| 107 | STPMiddle Africa | -0.29094 | 42.1741 |
| 108 | ROUEastern Europe | -0.29148 | 42.1630 |
| 109 | INDSouthern Asia | -0.29551 | 42.0817 |
| 110 | THASouth-eastern Asia | -0.30169 | 41.9571 |
| 111 | TUNNorthern Africa | -0.30247 | 41.9413 |
| 112 | PERSouth America | -0.30433 | 41.9038 |
| 113 | SRBSouthern Europe | -0.30746 | 41.8408 |
| 114 | BFAWestern Africa | -0.32871 | 41.4121 |
| 115 | BENWestern Africa | -0.33355 | 41.3144 |
| 116 | TZAEastern Africa | -0.34116 | 41.1609 |
| 117 | VNMSouth-eastern Asia | -0.35407 | 40.9005 |
| 118 | ZMBEastern Africa | -0.35516 | 40.8785 |
| 119 | SENWestern Africa | -0.35994 | 40.7821 |
| 120 | MARNorthern Africa | -0.37700 | 40.4379 |
| 121 | MEXCentral America | -0.38998 | 40.1761 |
| 122 | SLVCentral America | -0.41213 | 39.7293 |
| 123 | ARGSouth America | -0.41257 | 39.7205 |
| 124 | SLBMelanesia | -0.42056 | 39.5593 |
| 125 | MOZEastern Africa | -0.43842 | 39.1991 |
| 126 | BIHSouthern Europe | -0.44209 | 39.1250 |
| 127 | PSEWestern Asia | -0.44931 | 38.9793 |
| 128 | GTMCentral America | -0.46099 | 38.7439 |
| 129 | BLREastern Europe | -0.46136 | 38.7363 |
| 130 | MHLMicronesia | -0.47168 | 38.5281 |
| 131 | GUYSouth America | -0.47227 | 38.5162 |
| 132 | TLSSouth-eastern Asia | -0.47849 | 38.3908 |
| 133 | CHNEastern Asia | -0.50896 | 37.7762 |
| 134 | IDNSouth-eastern Asia | -0.53090 | 37.3335 |
| 135 | XKXSouthern Europe | -0.53833 | 37.1838 |
| 136 | BOLSouth America | -0.54445 | 37.0602 |
| 137 | MLIWestern Africa | -0.54849 | 36.9788 |
| 138 | NERWestern Africa | -0.54984 | 36.9516 |
| 139 | MWIEastern Africa | -0.55624 | 36.8225 |
| 140 | EGYNorthern Africa | -0.57310 | 36.4823 |
| 141 | DZANorthern Africa | -0.58376 | 36.2674 |
| 142 | LBRWestern Africa | -0.60112 | 35.9172 |
| 143 | ETHEastern Africa | -0.63167 | 35.3009 |
| 144 | TONPolynesia | -0.63436 | 35.2466 |
| 145 | ERIEastern Africa | -0.63720 | 35.1893 |
| 146 | ALBSouthern Europe | -0.64188 | 35.0950 |
| 147 | MNGEastern Asia | -0.66377 | 34.6534 |
| 148 | PHLSouth-eastern Asia | -0.68791 | 34.1665 |
| 149 | GMBWestern Africa | -0.69705 | 33.9821 |
| 150 | UGAEastern Africa | -0.69706 | 33.9819 |
| 151 | ECUSouth America | -0.71342 | 33.6519 |
| 152 | MDVSouthern Asia | -0.73048 | 33.3078 |
| 153 | DOMCaribbean | -0.74601 | 32.9945 |
| 154 | ARMWestern Asia | -0.75557 | 32.8016 |
| 155 | YEMWestern Asia | -0.76602 | 32.5908 |
| 156 | CMRMiddle Africa | -0.76653 | 32.5805 |
| 157 | COMEastern Africa | -0.78130 | 32.2826 |
| 158 | MDAEastern Europe | -0.79664 | 31.9732 |
| 159 | MRTWestern Africa | -0.79908 | 31.9240 |
| 160 | NICCentral America | -0.82403 | 31.4208 |
| 161 | NPLSouthern Asia | -0.86144 | 30.6661 |
| 162 | SLEWestern Africa | -0.88948 | 30.1004 |
| 163 | PRYSouth America | -0.89983 | 29.8918 |
| 164 | CIVWestern Africa | -0.91705 | 29.5444 |
| 165 | GABMiddle Africa | -0.94182 | 29.0448 |
| 166 | HNDCentral America | -0.94206 | 29.0400 |
| 167 | BGDSouthern Asia | -0.94498 | 28.9811 |
| 168 | UKREastern Europe | -0.97620 | 28.3513 |
| 169 | LBNWestern Asia | -0.98986 | 28.0756 |
| 170 | NGAWestern Africa | -1.02167 | 27.4339 |
| 171 | KAZCentral Asia | -1.02287 | 27.4098 |
| 172 | KENEastern Africa | -1.03489 | 27.1674 |
| 173 | PAKSouthern Asia | -1.03825 | 27.0996 |
| 174 | TGOWestern Africa | -1.04034 | 27.0574 |
| 175 | IRNSouthern Asia | -1.04089 | 27.0462 |
| 176 | PNGMelanesia | -1.08008 | 26.2558 |
| 177 | SYRWestern Asia | -1.10082 | 25.8374 |
| 178 | GNBWestern Africa | -1.12110 | 25.4285 |
| 179 | LBYNorthern Africa | -1.12147 | 25.4208 |
| 180 | RUSEastern Europe | -1.13886 | 25.0702 |
| 181 | CAFMiddle Africa | -1.14548 | 24.9366 |
| 182 | BDIEastern Africa | -1.15007 | 24.8441 |
| 183 | KHMSouth-eastern Asia | -1.15920 | 24.6598 |
| 184 | HTICaribbean | -1.17025 | 24.4369 |
| 185 | AZEWestern Asia | -1.17031 | 24.4358 |
| 186 | COGMiddle Africa | -1.20678 | 23.7000 |
| 187 | UZBCentral Asia | -1.21267 | 23.5812 |
| 188 | LAOSouth-eastern Asia | -1.24171 | 22.9955 |
| 189 | TJKCentral Asia | -1.25176 | 22.7928 |
| 190 | AGOMiddle Africa | -1.27101 | 22.4044 |
| 191 | KGZCentral Asia | -1.30409 | 21.7371 |
| 192 | VENSouth America | -1.31217 | 21.5743 |
| 193 | GINWestern Africa | -1.31379 | 21.5414 |
| 194 | CODMiddle Africa | -1.32007 | 21.4147 |
| 195 | GNQMiddle Africa | -1.36091 | 20.5910 |
| 196 | PRKEastern Asia | -1.36879 | 20.4321 |
| 197 | SDNNorthern Africa | -1.42640 | 19.2699 |
| 198 | TKMCentral Asia | -1.49024 | 17.9823 |
| 199 | MMRSouth-eastern Asia | -1.53191 | 17.1417 |
| 200 | TCDMiddle Africa | -1.54001 | 16.9783 |
| 201 | IRQWestern Asia | -1.54217 | 16.9347 |
| 202 | ZWEEastern Africa | -1.55662 | 16.6432 |
| 203 | AFGSouthern Asia | -1.60902 | 15.5863 |
| 204 | SOMEastern Africa | -1.68835 | 13.9861 |
02In 2008
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Denmark2.30263
- 2
Finland2.30144
- 3
New Zealand2.25623
- 4
Switzerland2.17657
- 5
Singapore2.17003
Lowest
- 204
Somalia-1.68835
- 203
Afghanistan-1.60902
- 202
Zimbabwe-1.55662
- 201
Iraq-1.54217
- 200
Chad-1.54001
A higher value is the better result. The middle country reads -0.25097. “Shared” marks a value another country also holds.
Each measure’s ends
032007 → 2008
Since 2007
What changed between 2007 and this one: who joined or left, and how far the headline moved.
- +1 / −0countries joined / left
- 203values changed, of 203 in both
- 118 · 85rose · fell
- 0unchanged
Rose most
Fell most
Cayman Islands1.33043 → 0.86372−0.46671
Iran-0.77636 → -1.04089−0.26453
Mauritania-0.54067 → -0.79908−0.25841
Palestine-0.21271 → -0.44931−0.23661
Tajikistan-1.05458 → -1.25176−0.19718
Changes in value, not in places: a country’s place also moves when others do. 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.
196 distinct values among 204
Values are stored exactly as published, to 18 decimals. 4 countries share 1.33201. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
Nothing missing
Every one of the 204 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
204 rows · 9.6 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download control-of-corruption-2008-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
WB_WGI_WIDEF.csv
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 4.0 · what it allows, in plain words
Cite this edition
World Bank Group (2008). Control of Corruption, 2008 [data set], describing 2008. As held by Nations Inquiry, https://nationsinquiry.com/datasets/control-of-corruption/2008
0627 held
Other years
‹ The year before
Control of Corruption, 2007203 countries
The year after ›
Control of Corruption, 2009206 countries
All of them
Control of Corruption: every year27 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Control of Corruption, 2008: questions and answers
Which country has the highest control of corruption in Control of Corruption, 2008?
Denmark, at 2.30263, of the 204 countries in the file.
What year does Control of Corruption, 2008 describe?
2008.
How many countries does Control of Corruption, 2008 cover?
204.
Where can I download Control of Corruption, 2008?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Control of Corruption, 2008 the newest?
No. The newest held here is Control of Corruption, 2025.