Data for 2018
Control of Corruption, 2018
Figures for 2018, as World Bank Group published them · stored as published, never rewritten
Control of Corruption, 2018 covers 207 countries on 2 measures. Switzerland is highest, at 2.29499; South Sudan is lowest, at -1.82655. The middle country reads -0.16049. Against 2017, 207 values changed (110 up, 97 down), the same countries are covered.
Control of Corruption · Data for 2018
HighestSwitzerland
2.29499LowestSouth Sudan
-1.82655Shaded 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, 2018, 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 207 countries · select a heading to sort
| derived | |||
|---|---|---|---|
| 1 | CHEWestern Europe | 2.29499 | 94.336 |
| 2 | LUXWestern Europe | 2.21178 | 92.658 |
| 3 | FINNorthern Europe | 2.18539 | 92.125 |
| 4 | DNKNorthern Europe | 2.16741 | 91.763 |
| 5 | SGPSouth-eastern Asia | 2.12699 | 90.947 |
| 6 | SWENorthern Europe | 2.12129 | 90.832 |
| 7 | NZLAustralia and New Zealand | 2.09533 | 90.309 |
| 8 | NORNorthern Europe | 2.08808 | 90.162 |
| 9 | LIEWestern Europe | 2.01668 | 88.722 |
| 10 | NLDWestern Europe | 1.93844 | 87.144 |
| 11 | DEUWestern Europe | 1.91857 | 86.743 |
| 12 | ISLNorthern Europe | 1.88622 | 86.091 |
| 13 | GBRNorthern Europe | 1.80997 | 84.552 |
| 14 | CANNorthern America | 1.80823 | 84.517 |
| =15 | ASMPolynesia | 1.79864 | 84.324 |
| =15 | MCOWestern Europe | 1.79864 | 84.324 |
| 17 | AUSAustralia and New Zealand | 1.76959 | 83.738 |
| 18 | HKGEastern Asia | 1.71592 | 82.655 |
| 19 | AUTWestern Europe | 1.63748 | 81.073 |
| 20 | IRLNorthern Europe | 1.55918 | 79.494 |
| 21 | ESTNorthern Europe | 1.49917 | 78.283 |
| 22 | BELWestern Europe | 1.45292 | 77.350 |
| 23 | BTNSouthern Asia | 1.44992 | 77.290 |
| 24 | FRAWestern Europe | 1.41365 | 76.558 |
| 25 | JPNEastern Asia | 1.39216 | 76.125 |
| 26 | URYSouth America | 1.36986 | 75.675 |
| 27 | USANorthern America | 1.26302 | 73.520 |
| 28 | BRNSouth-eastern Asia | 1.21293 | 72.509 |
| =29 | ANDSouthern Europe | 1.17426 | 71.729 |
| =29 | AIACaribbean | 1.17426 | 71.729 |
| =29 | BMUNorthern America | 1.17426 | 71.729 |
| =29 | GUMMicronesia | 1.17426 | 71.729 |
| =29 | SMRSouthern Europe | 1.17426 | 71.729 |
| 34 | ABWCaribbean | 1.16180 | 71.478 |
| 35 | BRBCaribbean | 1.13597 | 70.957 |
| 36 | TWNEastern Asia | 1.11163 | 70.466 |
| 37 | GRLNorthern America | 1.10744 | 70.381 |
| 38 | BHSCaribbean | 1.10232 | 70.278 |
| 39 | CHLSouth America | 1.10198 | 70.271 |
| 40 | AREWestern Asia | 1.09313 | 70.093 |
| 41 | CPVWestern Africa | 0.86739 | 65.539 |
| 42 | BWASouthern Africa | 0.85226 | 65.234 |
| 43 | GEOWestern Asia | 0.84425 | 65.073 |
| 44 | SVNSouthern Europe | 0.82097 | 64.603 |
| 45 | SYCEastern Africa | 0.81724 | 64.528 |
| 46 | PRTSouthern Europe | 0.80839 | 64.349 |
| 47 | POLEastern Europe | 0.78353 | 63.848 |
| 48 | FSMMicronesia | 0.77747 | 63.725 |
| 49 | VCTCaribbean | 0.75471 | 63.266 |
| 50 | ESPSouthern Europe | 0.75427 | 63.257 |
| 51 | QATWestern Asia | 0.74854 | 63.142 |
| 52 | MLTSouthern Europe | 0.74005 | 62.971 |
| 53 | ISRWestern Asia | 0.73903 | 62.950 |
| 54 | CYPWestern Asia | 0.66087 | 61.374 |
| 55 | CRICentral America | 0.65058 | 61.166 |
| 56 | CZEEastern Europe | 0.62445 | 60.639 |
| 57 | WSMPolynesia | 0.61907 | 60.530 |
| 58 | CYMCaribbean | 0.60210 | 60.188 |
| 59 | MACEastern Asia | 0.57144 | 59.569 |
| 60 | VIRCaribbean | 0.54987 | 59.134 |
| 61 | LVANorthern Europe | 0.54433 | 59.023 |
| 62 | KOREastern Asia | 0.54319 | 59.000 |
| 63 | DMACaribbean | 0.51083 | 58.347 |
| 64 | MYSSouth-eastern Asia | 0.49135 | 57.954 |
| 65 | LCACaribbean | 0.45696 | 57.260 |
| 66 | LTUNorthern Europe | 0.45254 | 57.171 |
| =67 | NRUMicronesia | 0.45127 | 57.145 |
| =67 | PLWMicronesia | 0.45127 | 57.145 |
| 69 | NAMSouthern Africa | 0.44781 | 57.076 |
| 70 | RWAEastern Africa | 0.43463 | 56.810 |
| 71 | GRDCaribbean | 0.42069 | 56.529 |
| 72 | KNACaribbean | 0.40878 | 56.288 |
| 73 | MHLMicronesia | 0.35103 | 55.123 |
| 74 | FJIMelanesia | 0.34035 | 54.908 |
| 75 | MUSEastern Africa | 0.29519 | 53.997 |
| 76 | SVKEastern Europe | 0.26209 | 53.329 |
| 77 | ITASouthern Europe | 0.25680 | 53.223 |
| 78 | KIRMicronesia | 0.25650 | 53.217 |
| 79 | GRCSouthern Europe | 0.24851 | 53.056 |
| 80 | PRICaribbean | 0.23910 | 52.866 |
| 81 | ATGCaribbean | 0.23098 | 52.702 |
| 82 | HUNEastern Europe | 0.15139 | 51.096 |
| 83 | SAUWestern Asia | 0.14943 | 51.057 |
| 84 | STPMiddle Africa | 0.14292 | 50.926 |
| 85 | JORWestern Asia | 0.07159 | 49.487 |
| 86 | HRVSouthern Europe | 0.02494 | 48.546 |
| 87 | SENWestern Africa | 0.01629 | 48.371 |
| 88 | LSOSouthern Africa | 0.01429 | 48.331 |
| 89 | ARGSouth America | -0.00947 | 47.852 |
| 90 | CUBCaribbean | -0.01195 | 47.802 |
| 91 | OMNWestern Asia | -0.02278 | 47.583 |
| 92 | TUNNorthern Africa | -0.02445 | 47.549 |
| 93 | TUVPolynesia | -0.03562 | 47.324 |
| 94 | ZAFSouthern Africa | -0.04084 | 47.219 |
| 95 | CHNEastern Asia | -0.07284 | 46.573 |
| 96 | TONPolynesia | -0.08139 | 46.401 |
| 97 | MNESouthern Europe | -0.08462 | 46.336 |
| 98 | BLZCentral America | -0.10699 | 45.884 |
| 99 | BLREastern Europe | -0.12373 | 45.547 |
| 100 | GHAWestern Africa | -0.13882 | 45.243 |
| 101 | BHRWestern Asia | -0.14591 | 45.099 |
| 102 | SLBMelanesia | -0.14768 | 45.064 |
| 103 | BFAWestern Africa | -0.15516 | 44.913 |
| 104 | JAMCaribbean | -0.16049 | 44.805 |
| 105 | ARMWestern Asia | -0.16412 | 44.732 |
| 106 | ROUEastern Europe | -0.16700 | 44.674 |
| 107 | BGREastern Europe | -0.18072 | 44.397 |
| 108 | VUTMelanesia | -0.18297 | 44.352 |
| 109 | LKASouthern Asia | -0.20512 | 43.905 |
| 110 | INDSouthern Asia | -0.21084 | 43.790 |
| 111 | TURWestern Asia | -0.23493 | 43.304 |
| 112 | TTOCaribbean | -0.27476 | 42.500 |
| 113 | BENWestern Africa | -0.27890 | 42.417 |
| 114 | KWTWestern Asia | -0.28017 | 42.391 |
| 115 | SURSouth America | -0.28612 | 42.271 |
| 116 | PSEWestern Asia | -0.30570 | 41.876 |
| 117 | SWZSouthern Africa | -0.30694 | 41.851 |
| 118 | COLSouth America | -0.31771 | 41.634 |
| 119 | IDNSouth-eastern Asia | -0.34188 | 41.146 |
| 120 | MKDSouthern Europe | -0.34217 | 41.141 |
| 121 | TZAEastern Africa | -0.34769 | 41.029 |
| 122 | GUYSouth America | -0.36394 | 40.702 |
| 123 | THASouth-eastern Asia | -0.37539 | 40.470 |
| 124 | XKXSouthern Europe | -0.38507 | 40.275 |
| 125 | SRBSouthern Europe | -0.38862 | 40.204 |
| 126 | VNMSouth-eastern Asia | -0.39430 | 40.089 |
| 127 | BRASouth America | -0.42991 | 39.371 |
| 128 | GMBWestern Africa | -0.43052 | 39.358 |
| 129 | NERWestern Africa | -0.45285 | 38.908 |
| 130 | ETHEastern Africa | -0.45655 | 38.833 |
| 131 | EGYNorthern Africa | -0.48295 | 38.301 |
| 132 | MARNorthern Africa | -0.48364 | 38.287 |
| 133 | CIVWestern Africa | -0.48991 | 38.160 |
| 134 | KAZCentral Asia | -0.50772 | 37.801 |
| 135 | SLEWestern Africa | -0.53552 | 37.240 |
| 136 | DZANorthern Africa | -0.54544 | 37.040 |
| 137 | PANCentral America | -0.54821 | 36.984 |
| 138 | MNGEastern Asia | -0.57269 | 36.491 |
| 139 | SLVCentral America | -0.57905 | 36.362 |
| 140 | TLSSouth-eastern Asia | -0.58751 | 36.192 |
| 141 | ALBSouthern Europe | -0.58907 | 36.160 |
| 142 | PERSouth America | -0.59409 | 36.059 |
| 143 | ZMBEastern Africa | -0.61841 | 35.568 |
| 144 | ECUSouth America | -0.62580 | 35.419 |
| 145 | PHLSouth-eastern Asia | -0.63891 | 35.155 |
| 146 | BIHSouthern Europe | -0.63996 | 35.134 |
| 147 | NPLSouthern Asia | -0.73584 | 33.200 |
| 148 | MLIWestern Africa | -0.73759 | 33.164 |
| 149 | TGOWestern Africa | -0.75982 | 32.716 |
| 150 | MMRSouth-eastern Asia | -0.76356 | 32.640 |
| 151 | GABMiddle Africa | -0.80437 | 31.817 |
| 152 | MWIEastern Africa | -0.81684 | 31.566 |
| 153 | DJIEastern Africa | -0.82157 | 31.470 |
| 154 | BOLSouth America | -0.83187 | 31.263 |
| 155 | KENEastern Africa | -0.83895 | 31.120 |
| 156 | DOMCaribbean | -0.84871 | 30.923 |
| 157 | MDAEastern Europe | -0.87052 | 30.483 |
| 158 | MDVSouthern Asia | -0.88775 | 30.135 |
| 159 | RUSEastern Europe | -0.89066 | 30.077 |
| 160 | PRYSouth America | -0.89365 | 30.016 |
| 161 | MOZEastern Africa | -0.89370 | 30.015 |
| 162 | MRTWestern Africa | -0.89539 | 29.981 |
| 163 | AZEWestern Asia | -0.90966 | 29.693 |
| 164 | MDGEastern Africa | -0.92503 | 29.383 |
| 165 | PNGMelanesia | -0.93643 | 29.154 |
| 166 | IRNSouthern Asia | -0.94214 | 29.038 |
| 167 | MEXCentral America | -0.96114 | 28.655 |
| 168 | PAKSouthern Asia | -0.96459 | 28.585 |
| 169 | HNDCentral America | -0.96879 | 28.501 |
| 170 | LBRWestern Africa | -0.98121 | 28.250 |
| 171 | GTMCentral America | -0.99181 | 28.036 |
| 172 | UKREastern Europe | -0.99267 | 28.019 |
| 173 | COMEastern Africa | -1.02491 | 27.369 |
| 174 | UGAEastern Africa | -1.03279 | 27.210 |
| 175 | KGZCentral Asia | -1.04280 | 27.008 |
| 176 | BGDSouthern Asia | -1.09391 | 25.977 |
| 177 | LAOSouth-eastern Asia | -1.11205 | 25.611 |
| 178 | GINWestern Africa | -1.11562 | 25.539 |
| 179 | CMRMiddle Africa | -1.12266 | 25.397 |
| 180 | NGAWestern Africa | -1.13752 | 25.097 |
| 181 | AGOMiddle Africa | -1.18238 | 24.192 |
| 182 | UZBCentral Asia | -1.20487 | 23.739 |
| 183 | CAFMiddle Africa | -1.21897 | 23.454 |
| 184 | LBNWestern Asia | -1.22117 | 23.410 |
| 185 | NICCentral America | -1.22495 | 23.333 |
| 186 | ZWEEastern Africa | -1.32409 | 21.334 |
| 187 | TJKCentral Asia | -1.34934 | 20.824 |
| 188 | COGMiddle Africa | -1.36745 | 20.459 |
| 189 | KHMSouth-eastern Asia | -1.42843 | 19.229 |
| 190 | ERIEastern Africa | -1.43314 | 19.134 |
| 191 | HTICaribbean | -1.43641 | 19.068 |
| 192 | TKMCentral Asia | -1.45241 | 18.745 |
| 193 | TCDMiddle Africa | -1.45989 | 18.594 |
| 194 | IRQWestern Asia | -1.47744 | 18.240 |
| 195 | BDIEastern Africa | -1.47978 | 18.193 |
| 196 | LBYNorthern Africa | -1.51628 | 17.457 |
| 197 | GNQMiddle Africa | -1.52127 | 17.356 |
| 198 | SDNNorthern Africa | -1.53002 | 17.180 |
| 199 | CODMiddle Africa | -1.53269 | 17.126 |
| 200 | AFGSouthern Asia | -1.53456 | 17.088 |
| 201 | PRKEastern Asia | -1.58686 | 16.033 |
| 202 | SYRWestern Asia | -1.59134 | 15.943 |
| 203 | GNBWestern Africa | -1.59492 | 15.871 |
| 204 | VENSouth America | -1.59681 | 15.833 |
| 205 | YEMWestern Asia | -1.75085 | 12.725 |
| 206 | SOMEastern Africa | -1.80759 | 11.581 |
| 207 | SSDEastern Africa | -1.82655 | 11.198 |
02In 2018
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Switzerland2.29499
- 2
Luxembourg2.21178
- 3
Finland2.18539
- 4
Denmark2.16741
- 5
Singapore2.12699
Lowest
- 207
South Sudan-1.82655
- 206
Somalia-1.80759
- 205
Yemen-1.75085
- 204
Venezuela-1.59681
- 203
Guinea-Bissau-1.59492
A higher value is the better result. The middle country reads -0.16049. “Shared” marks a value another country also holds.
Each measure’s ends
Governance Score, Control of Corruption (0–100)
Highest
Switzerland94.336
Lowest
South Sudan11.198
Middle country: 44.805
032017 → 2018
Since 2017
What changed between 2017 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 110 · 97rose · fell
- 0unchanged
Rose most
Armenia-0.60431 → -0.16412+0.44019
Malaysia0.07077 → 0.49135+0.42058
Kazakhstan-0.76356 → -0.50772+0.25584
Angola-1.41985 → -1.18238+0.23747
Estonia1.26666 → 1.49917+0.23250
Fell most
Marshall Islands0.77485 → 0.35103−0.42382
Iran-0.70085 → -0.94214−0.24129
Lithuania0.66683 → 0.45254−0.21429
Eswatini-0.13300 → -0.30694−0.17395
North Korea-1.41932 → -1.58686−0.16754
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.
201 distinct values among 207
Values are stored exactly as published, to 18 decimals. 5 countries share 1.17426. 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 207 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
207 rows · 9.5 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download control-of-corruption-2018-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 (2018). Control of Corruption, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/control-of-corruption/2018
0627 held
Other years
‹ The year before
Control of Corruption, 2017207 countries
The year after ›
Control of Corruption, 2019207 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, 2018: questions and answers
Which country has the highest control of corruption in Control of Corruption, 2018?
Switzerland, at 2.29499, of the 207 countries in the file.
What year does Control of Corruption, 2018 describe?
2018.
How many countries does Control of Corruption, 2018 cover?
207.
Where can I download Control of Corruption, 2018?
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, 2018 the newest?
No. The newest held here is Control of Corruption, 2025.