Data for 2019
Control of Corruption, 2019
Figures for 2019, as World Bank Group published them · stored as published, never rewritten
Control of Corruption, 2019 covers 207 countries on 2 measures. Switzerland is highest, at 2.3022; South Sudan is lowest, at -1.8825. The middle country reads -0.1190. Against 2018, 207 values changed (137 up, 70 down), the same countries are covered.
Control of Corruption · Data for 2019
HighestSwitzerland
2.3022LowestSouth Sudan
-1.8825Shaded 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, 2019, 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 | 2.3022 | 94.481 |
| 2 | LUXWestern Europe | 2.2602 | 93.634 |
| 3 | FINNorthern Europe | 2.1867 | 92.151 |
| 4 | DNKNorthern Europe | 2.1656 | 91.726 |
| 5 | NZLAustralia and New Zealand | 2.1528 | 91.468 |
| 6 | SWENorthern Europe | 2.1342 | 91.092 |
| 7 | SGPSouth-eastern Asia | 2.1195 | 90.796 |
| 8 | NORNorthern Europe | 2.0631 | 89.659 |
| 9 | LIEWestern Europe | 2.0189 | 88.767 |
| 10 | NLDWestern Europe | 1.9415 | 87.206 |
| 11 | DEUWestern Europe | 1.8793 | 85.951 |
| 12 | ISLNorthern Europe | 1.8247 | 84.850 |
| =13 | ASMPolynesia | 1.8039 | 84.431 |
| =13 | MCOWestern Europe | 1.8039 | 84.431 |
| 15 | CANNorthern America | 1.7964 | 84.279 |
| 16 | AUSAustralia and New Zealand | 1.7871 | 84.092 |
| 17 | GBRNorthern Europe | 1.7738 | 83.823 |
| 18 | HKGEastern Asia | 1.7394 | 83.129 |
| 19 | AUTWestern Europe | 1.6108 | 80.535 |
| 20 | ESTNorthern Europe | 1.5267 | 78.839 |
| 21 | IRLNorthern Europe | 1.5262 | 78.829 |
| 22 | BELWestern Europe | 1.4943 | 78.185 |
| 23 | BTNSouthern Asia | 1.4626 | 77.546 |
| 24 | JPNEastern Asia | 1.4344 | 76.977 |
| 25 | URYSouth America | 1.3900 | 76.080 |
| 26 | FRAWestern Europe | 1.3647 | 75.571 |
| 27 | BHSCaribbean | 1.2106 | 72.463 |
| 28 | BRNSouth-eastern Asia | 1.1806 | 71.856 |
| =29 | ANDSouthern Europe | 1.1795 | 71.836 |
| =29 | AIACaribbean | 1.1795 | 71.836 |
| =29 | BMUNorthern America | 1.1795 | 71.836 |
| =29 | GUMMicronesia | 1.1795 | 71.836 |
| =29 | SMRSouthern Europe | 1.1795 | 71.836 |
| 34 | USANorthern America | 1.1736 | 71.716 |
| 35 | ABWCaribbean | 1.1640 | 71.523 |
| 36 | CHLSouth America | 1.1580 | 71.401 |
| 37 | TWNEastern Asia | 1.1519 | 71.279 |
| 38 | BRBCaribbean | 1.1463 | 71.164 |
| 39 | GRLNorthern America | 1.1108 | 70.450 |
| 40 | AREWestern Asia | 1.0865 | 69.958 |
| 41 | SYCEastern Africa | 1.0729 | 69.684 |
| 42 | CPVWestern Africa | 0.8820 | 65.833 |
| 43 | QATWestern Asia | 0.8767 | 65.728 |
| 44 | SVNSouthern Europe | 0.8517 | 65.222 |
| 45 | GEOWestern Asia | 0.8451 | 65.089 |
| 46 | ESPSouthern Europe | 0.8270 | 64.724 |
| 47 | BWASouthern Africa | 0.8202 | 64.587 |
| 48 | PRTSouthern Europe | 0.8024 | 64.227 |
| 49 | ISRWestern Asia | 0.7996 | 64.172 |
| 50 | FSMMicronesia | 0.7811 | 63.798 |
| 51 | VCTCaribbean | 0.7618 | 63.409 |
| 52 | LTUNorthern Europe | 0.7587 | 63.346 |
| 53 | CRICentral America | 0.7249 | 62.666 |
| 54 | POLEastern Europe | 0.7242 | 62.651 |
| 55 | LVANorthern Europe | 0.7001 | 62.164 |
| 56 | FJIMelanesia | 0.6821 | 61.802 |
| 57 | CYPWestern Asia | 0.6807 | 61.774 |
| 58 | WSMPolynesia | 0.6227 | 60.603 |
| 59 | KOREastern Asia | 0.6152 | 60.452 |
| 60 | CZEEastern Europe | 0.6150 | 60.448 |
| 61 | CYMCaribbean | 0.6043 | 60.233 |
| 62 | MACEastern Asia | 0.5737 | 59.615 |
| 63 | VIRCaribbean | 0.5552 | 59.241 |
| 64 | DMACaribbean | 0.4991 | 58.111 |
| 65 | LCACaribbean | 0.4779 | 57.683 |
| 66 | NAMSouthern Africa | 0.4601 | 57.323 |
| 67 | MYSSouth-eastern Asia | 0.4597 | 57.316 |
| =68 | NRUMicronesia | 0.4564 | 57.249 |
| =68 | PLWMicronesia | 0.4564 | 57.249 |
| 70 | RWAEastern Africa | 0.4505 | 57.129 |
| 71 | MLTSouthern Europe | 0.4148 | 56.409 |
| 72 | TUVPolynesia | 0.3944 | 55.999 |
| 73 | GRDCaribbean | 0.3820 | 55.747 |
| =74 | KIRMicronesia | 0.3546 | 55.196 |
| =74 | MHLMicronesia | 0.3546 | 55.196 |
| 76 | KNACaribbean | 0.3294 | 54.687 |
| 77 | MUSEastern Africa | 0.3254 | 54.607 |
| 78 | GRCSouthern Europe | 0.3094 | 54.284 |
| 79 | ITASouthern Europe | 0.2909 | 53.910 |
| 80 | PRICaribbean | 0.2808 | 53.707 |
| 81 | SVKEastern Europe | 0.2486 | 53.058 |
| 82 | ATGCaribbean | 0.2241 | 52.563 |
| 83 | SAUWestern Asia | 0.2066 | 52.210 |
| 84 | STPMiddle Africa | 0.1627 | 51.325 |
| 85 | OMNWestern Asia | 0.1581 | 51.231 |
| 86 | HUNEastern Europe | 0.0963 | 49.984 |
| 87 | JORWestern Asia | 0.0865 | 49.787 |
| 88 | ZAFSouthern Africa | 0.0523 | 49.098 |
| 89 | HRVSouthern Europe | 0.0256 | 48.559 |
| 90 | BLREastern Europe | 0.0155 | 48.356 |
| 91 | SENWestern Africa | 0.0149 | 48.343 |
| 92 | SLBMelanesia | -0.0010 | 48.023 |
| 93 | LSOSouthern Africa | -0.0048 | 47.947 |
| 94 | CHNEastern Asia | -0.0532 | 46.970 |
| 95 | ARMWestern Asia | -0.0554 | 46.925 |
| 96 | JAMCaribbean | -0.0614 | 46.805 |
| 97 | TUNNorthern Africa | -0.0637 | 46.757 |
| 98 | MNESouthern Europe | -0.0652 | 46.728 |
| 99 | BLZCentral America | -0.0754 | 46.521 |
| 100 | ARGSouth America | -0.0825 | 46.379 |
| 101 | BHRWestern Asia | -0.0893 | 46.241 |
| 102 | GHAWestern Africa | -0.1049 | 45.927 |
| 103 | ROUEastern Europe | -0.1187 | 45.649 |
| 104 | BGREastern Europe | -0.1190 | 45.643 |
| 105 | KWTWestern Asia | -0.1379 | 45.261 |
| 106 | CUBCaribbean | -0.1436 | 45.146 |
| 107 | LKASouthern Asia | -0.1647 | 44.720 |
| 108 | VUTMelanesia | -0.1818 | 44.376 |
| 109 | TURWestern Asia | -0.1848 | 44.314 |
| 110 | BFAWestern Africa | -0.1969 | 44.070 |
| 111 | TTOCaribbean | -0.1990 | 44.029 |
| 112 | KAZCentral Asia | -0.2142 | 43.722 |
| 113 | INDSouthern Asia | -0.2210 | 43.585 |
| 114 | BENWestern Africa | -0.2317 | 43.368 |
| 115 | GUYSouth America | -0.2389 | 43.224 |
| 116 | COLSouth America | -0.2722 | 42.552 |
| 117 | SURSouth America | -0.2801 | 42.393 |
| 118 | GMBWestern Africa | -0.2985 | 42.021 |
| 119 | TZAEastern Africa | -0.3033 | 41.924 |
| 120 | PSEWestern Asia | -0.3200 | 41.588 |
| 121 | SWZSouthern Africa | -0.3281 | 41.425 |
| 122 | XKXSouthern Europe | -0.3471 | 41.041 |
| 123 | VNMSouth-eastern Asia | -0.3615 | 40.750 |
| 124 | SRBSouthern Europe | -0.3661 | 40.658 |
| 125 | BRASouth America | -0.3724 | 40.530 |
| 126 | THASouth-eastern Asia | -0.3883 | 40.209 |
| 127 | ETHEastern Africa | -0.4224 | 39.522 |
| 128 | IDNSouth-eastern Asia | -0.4310 | 39.350 |
| 129 | TONPolynesia | -0.4327 | 39.314 |
| 130 | TLSSouth-eastern Asia | -0.4356 | 39.257 |
| 131 | MKDSouthern Europe | -0.4619 | 38.724 |
| 132 | NERWestern Africa | -0.4638 | 38.688 |
| 133 | MARNorthern Africa | -0.4713 | 38.536 |
| 134 | PERSouth America | -0.4900 | 38.159 |
| 135 | SLEWestern Africa | -0.5001 | 37.956 |
| 136 | MDVSouthern Asia | -0.5141 | 37.672 |
| 137 | SLVCentral America | -0.5204 | 37.546 |
| 138 | ECUSouth America | -0.5262 | 37.428 |
| 139 | CIVWestern Africa | -0.5285 | 37.382 |
| 140 | ALBSouthern Europe | -0.5424 | 37.103 |
| 141 | PANCentral America | -0.5440 | 37.070 |
| 142 | PHLSouth-eastern Asia | -0.6121 | 35.695 |
| 143 | MNGEastern Asia | -0.6143 | 35.651 |
| 144 | DZANorthern Africa | -0.6285 | 35.365 |
| 145 | BIHSouthern Europe | -0.6409 | 35.115 |
| 146 | ZMBEastern Africa | -0.6489 | 34.954 |
| 147 | EGYNorthern Africa | -0.6610 | 34.710 |
| 148 | TGOWestern Africa | -0.7332 | 33.253 |
| 149 | NPLSouthern Asia | -0.7349 | 33.218 |
| 150 | MMRSouth-eastern Asia | -0.7615 | 32.682 |
| 151 | MLIWestern Africa | -0.7642 | 32.628 |
| 152 | AZEWestern Asia | -0.7665 | 32.581 |
| 153 | MDAEastern Europe | -0.7756 | 32.397 |
| 154 | RUSEastern Europe | -0.7769 | 32.371 |
| 155 | UKREastern Europe | -0.7875 | 32.157 |
| 156 | DOMCaribbean | -0.8023 | 31.860 |
| 157 | KENEastern Africa | -0.8025 | 31.855 |
| 158 | MWIEastern Africa | -0.8074 | 31.757 |
| 159 | BOLSouth America | -0.8224 | 31.454 |
| 160 | GABMiddle Africa | -0.8577 | 30.742 |
| 161 | PRYSouth America | -0.8773 | 30.347 |
| 162 | MEXCentral America | -0.8924 | 30.041 |
| 163 | MOZEastern Africa | -0.8967 | 29.956 |
| 164 | GINWestern Africa | -0.9260 | 29.364 |
| 165 | DJIEastern Africa | -0.9278 | 29.328 |
| 166 | MDGEastern Africa | -0.9321 | 29.241 |
| 167 | PAKSouthern Asia | -0.9721 | 28.434 |
| 168 | LBRWestern Africa | -0.9776 | 28.324 |
| 169 | MRTWestern Africa | -0.9809 | 28.256 |
| 170 | PNGMelanesia | -0.9836 | 28.201 |
| 171 | KGZCentral Asia | -0.9852 | 28.171 |
| 172 | IRNSouthern Asia | -0.9917 | 28.039 |
| 173 | AGOMiddle Africa | -1.0041 | 27.789 |
| 174 | GTMCentral America | -1.0043 | 27.785 |
| 175 | HNDCentral America | -1.0580 | 26.702 |
| 176 | BGDSouthern Asia | -1.0981 | 25.892 |
| 177 | LAOSouth-eastern Asia | -1.1070 | 25.714 |
| 178 | UGAEastern Africa | -1.1167 | 25.517 |
| 179 | UZBCentral Asia | -1.1223 | 25.405 |
| 180 | CMRMiddle Africa | -1.1431 | 24.984 |
| 181 | NGAWestern Africa | -1.1468 | 24.911 |
| 182 | CAFMiddle Africa | -1.1994 | 23.848 |
| 183 | NICCentral America | -1.2032 | 23.772 |
| 184 | LBNWestern Asia | -1.2294 | 23.243 |
| 185 | COMEastern Africa | -1.2688 | 22.449 |
| 186 | TJKCentral Asia | -1.2810 | 22.203 |
| 187 | ZWEEastern Africa | -1.2962 | 21.896 |
| 188 | KHMSouth-eastern Asia | -1.3392 | 21.028 |
| 189 | TKMCentral Asia | -1.3730 | 20.348 |
| 190 | ERIEastern Africa | -1.4231 | 19.337 |
| 191 | IRQWestern Asia | -1.4456 | 18.882 |
| 192 | HTICaribbean | -1.4607 | 18.578 |
| 193 | BDIEastern Africa | -1.4737 | 18.317 |
| 194 | TCDMiddle Africa | -1.4778 | 18.233 |
| 195 | COGMiddle Africa | -1.4929 | 17.928 |
| 196 | AFGSouthern Asia | -1.4958 | 17.869 |
| 197 | SDNNorthern Africa | -1.4992 | 17.801 |
| 198 | GNQMiddle Africa | -1.5199 | 17.383 |
| 199 | GNBWestern Africa | -1.5264 | 17.253 |
| 200 | LBYNorthern Africa | -1.5495 | 16.787 |
| 201 | CODMiddle Africa | -1.5579 | 16.618 |
| 202 | PRKEastern Asia | -1.5769 | 16.233 |
| 203 | VENSouth America | -1.5969 | 15.831 |
| 204 | SOMEastern Africa | -1.6361 | 15.040 |
| 205 | SYRWestern Asia | -1.6582 | 14.594 |
| 206 | YEMWestern Asia | -1.7395 | 12.955 |
| 207 | SSDEastern Africa | -1.8825 | 10.069 |
02In 2019
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Switzerland2.3022
- 2
Luxembourg2.2602
- 3
Finland2.1867
- 4
Denmark2.1656
- 5
New Zealand2.1528
Lowest
- 207
South Sudan-1.8825
- 206
Yemen-1.7395
- 205
Syria-1.6582
- 204
Somalia-1.6361
- 203
Venezuela-1.5969
A higher value is the better result. The middle country reads -0.1190. “Shared” marks a value another country also holds.
Each measure’s ends
Governance Score, Control of Corruption (0–100)
Highest
Switzerland94.481
Lowest
South Sudan10.069
Middle country: 45.643
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 207values changed, of 207 in both
- 137 · 70rose · fell
- 0unchanged
Rose most
Tuvalu-0.0356 → 0.3944+0.4300
Maldives-0.8877 → -0.5141+0.3736
Fiji0.3403 → 0.6821+0.3418
Lithuania0.4525 → 0.7587+0.3061
Kazakhstan-0.5077 → -0.2142+0.2935
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.
200 distinct values among 207
Values are stored exactly as published, to 19 decimals. 5 countries share 1.1795. 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 · 9.6 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download control-of-corruption-2019-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 (2019). Control of Corruption, 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/control-of-corruption/2019
0627 held
Other years
‹ The year before
Control of Corruption, 2018207 countries
The year after ›
Control of Corruption, 2020207 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, 2019: questions and answers
Which country has the highest control of corruption in Control of Corruption, 2019?
Switzerland, at 2.3022, of the 207 countries in the file.
What year does Control of Corruption, 2019 describe?
2019.
How many countries does Control of Corruption, 2019 cover?
207.
Where can I download Control of Corruption, 2019?
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, 2019 the newest?
No. The newest held here is Control of Corruption, 2025.