Data for 2016
Control of Corruption, 2016
Figures for 2016, as World Bank Group published them · stored as published, never rewritten
Control of Corruption, 2016 covers 207 countries on 2 measures. Switzerland is highest, at 2.2844; South Sudan is lowest, at -1.7883. The middle country reads -0.2163. Against 2015, 207 values changed (124 up, 83 down), 2 left.
Control of Corruption · Data for 2016
HighestSwitzerland
2.2844LowestSouth Sudan
-1.7883Shaded 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, 2016, 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 | 2.2844 | 94.123 |
| 2 | NZLAustralia and New Zealand | 2.2083 | 92.586 |
| 3 | LUXWestern Europe | 2.1927 | 92.273 |
| 4 | FINNorthern Europe | 2.1893 | 92.204 |
| 5 | DNKNorthern Europe | 2.1711 | 91.837 |
| 6 | NORNorthern Europe | 2.1228 | 90.862 |
| 7 | SGPSouth-eastern Asia | 2.1055 | 90.514 |
| 8 | SWENorthern Europe | 2.1025 | 90.454 |
| 9 | LIEWestern Europe | 2.0160 | 88.709 |
| 10 | ISLNorthern Europe | 1.9721 | 87.824 |
| 11 | NLDWestern Europe | 1.9059 | 86.487 |
| 12 | CANNorthern America | 1.9030 | 86.429 |
| 13 | MCOWestern Europe | 1.7970 | 84.292 |
| 14 | AUSAustralia and New Zealand | 1.7942 | 84.235 |
| 15 | DEUWestern Europe | 1.7622 | 83.589 |
| 16 | GBRNorthern Europe | 1.7613 | 83.571 |
| 17 | HKGEastern Asia | 1.6977 | 82.288 |
| 18 | IRLNorthern Europe | 1.6462 | 81.250 |
| 19 | BELWestern Europe | 1.5376 | 79.058 |
| 20 | AUTWestern Europe | 1.5180 | 78.662 |
| 21 | JPNEastern Asia | 1.4472 | 77.236 |
| 22 | URYSouth America | 1.3818 | 75.915 |
| 23 | FRAWestern Europe | 1.3399 | 75.070 |
| 24 | ESTNorthern Europe | 1.2621 | 73.502 |
| 25 | USANorthern America | 1.2343 | 72.941 |
| =26 | ASMPolynesia | 1.1727 | 71.697 |
| =26 | ANDSouthern Europe | 1.1727 | 71.697 |
| =26 | AIACaribbean | 1.1727 | 71.697 |
| =26 | BMUNorthern America | 1.1727 | 71.697 |
| =26 | GUMMicronesia | 1.1727 | 71.697 |
| =26 | SMRSouthern Europe | 1.1727 | 71.697 |
| 32 | BTNSouthern Asia | 1.1682 | 71.607 |
| 33 | ABWCaribbean | 1.1611 | 71.464 |
| 34 | BRBCaribbean | 1.1470 | 71.180 |
| 35 | CHLSouth America | 1.1289 | 70.814 |
| 36 | ISRWestern Asia | 1.1092 | 70.418 |
| 37 | GRLNorthern America | 1.1064 | 70.361 |
| 38 | AREWestern Asia | 1.1052 | 70.335 |
| 39 | BHSCaribbean | 1.0890 | 70.009 |
| 40 | BRNSouth-eastern Asia | 1.0817 | 69.863 |
| 41 | TWNEastern Asia | 1.0422 | 69.066 |
| 42 | SYCEastern Africa | 0.9095 | 66.388 |
| 43 | POLEastern Europe | 0.8883 | 65.962 |
| 44 | BWASouthern Africa | 0.8630 | 65.451 |
| 45 | QATWestern Asia | 0.8602 | 65.393 |
| 46 | CPVWestern Africa | 0.8415 | 65.018 |
| 47 | MACEastern Asia | 0.8353 | 64.892 |
| 48 | CRICentral America | 0.8049 | 64.278 |
| 49 | MLTSouthern Europe | 0.7842 | 63.862 |
| 50 | GEOWestern Asia | 0.7797 | 63.770 |
| =51 | MHLMicronesia | 0.7764 | 63.703 |
| =51 | FSMMicronesia | 0.7764 | 63.703 |
| 53 | SVNSouthern Europe | 0.7495 | 63.160 |
| 54 | LTUNorthern Europe | 0.7263 | 62.693 |
| 55 | CYPWestern Asia | 0.7261 | 62.688 |
| 56 | PRTSouthern Europe | 0.7132 | 62.429 |
| 57 | VCTCaribbean | 0.6791 | 61.741 |
| 58 | ATGCaribbean | 0.6411 | 60.975 |
| 59 | ESPSouthern Europe | 0.6344 | 60.840 |
| 60 | DMACaribbean | 0.6218 | 60.585 |
| 61 | CZEEastern Europe | 0.6216 | 60.581 |
| 62 | CYMCaribbean | 0.6014 | 60.174 |
| 63 | RWAEastern Africa | 0.5780 | 59.701 |
| 64 | LCACaribbean | 0.5748 | 59.638 |
| 65 | LVANorthern Europe | 0.5678 | 59.496 |
| 66 | VIRCaribbean | 0.5483 | 59.102 |
| 67 | GRDCaribbean | 0.5410 | 58.955 |
| =68 | NRUMicronesia | 0.4497 | 57.114 |
| =68 | PLWMicronesia | 0.4497 | 57.114 |
| 70 | KNACaribbean | 0.4361 | 56.840 |
| 71 | NAMSouthern Africa | 0.4201 | 56.517 |
| 72 | KOREastern Asia | 0.3555 | 55.213 |
| 73 | MUSEastern Africa | 0.3248 | 54.594 |
| 74 | FJIMelanesia | 0.3151 | 54.398 |
| 75 | SVKEastern Europe | 0.2650 | 53.388 |
| 76 | KIRMicronesia | 0.2556 | 53.198 |
| 77 | PRICaribbean | 0.2495 | 53.076 |
| 78 | JORWestern Asia | 0.2005 | 52.088 |
| 79 | WSMPolynesia | 0.1915 | 51.906 |
| 80 | HUNEastern Europe | 0.1580 | 51.230 |
| 81 | ITASouthern Europe | 0.1352 | 50.770 |
| 82 | SAUWestern Asia | 0.1140 | 50.343 |
| 83 | MYSSouth-eastern Asia | 0.1013 | 50.086 |
| 84 | HRVSouthern Europe | 0.0961 | 49.980 |
| 85 | GRCSouthern Europe | 0.0894 | 49.845 |
| 86 | ZAFSouthern Africa | 0.0430 | 48.909 |
| 87 | SENWestern Africa | 0.0269 | 48.586 |
| 88 | LSOSouthern Africa | 0.0052 | 48.147 |
| 89 | CUBCaribbean | 0.0045 | 48.133 |
| 90 | OMNWestern Asia | -0.0231 | 47.577 |
| 91 | TUVPolynesia | -0.0367 | 47.302 |
| 92 | TUNNorthern Africa | -0.0629 | 46.774 |
| 93 | ROUEastern Europe | -0.0762 | 46.505 |
| 94 | BHRWestern Asia | -0.0920 | 46.187 |
| 95 | STPMiddle Africa | -0.0930 | 46.167 |
| 96 | CHNEastern Asia | -0.0947 | 46.133 |
| 97 | TURWestern Asia | -0.1119 | 45.785 |
| 98 | VUTMelanesia | -0.1135 | 45.752 |
| 99 | BLZCentral America | -0.1218 | 45.585 |
| 100 | BLREastern Europe | -0.1708 | 44.598 |
| 101 | SURSouth America | -0.1780 | 44.452 |
| 102 | JAMCaribbean | -0.1874 | 44.262 |
| 103 | MNESouthern Europe | -0.1938 | 44.133 |
| 104 | BFAWestern Africa | -0.2163 | 43.679 |
| 105 | ARGSouth America | -0.2198 | 43.609 |
| 106 | GHAWestern Africa | -0.2414 | 43.174 |
| 107 | LKASouthern Asia | -0.2510 | 42.979 |
| 108 | TTOCaribbean | -0.2517 | 42.965 |
| 109 | PSEWestern Asia | -0.2844 | 42.306 |
| 110 | SWZSouthern Africa | -0.2848 | 42.298 |
| 111 | INDSouthern Asia | -0.2868 | 42.257 |
| 112 | MARNorthern Africa | -0.3027 | 41.937 |
| 113 | XKXSouthern Europe | -0.3086 | 41.817 |
| 114 | MKDSouthern Europe | -0.3294 | 41.399 |
| 115 | BRASouth America | -0.3355 | 41.276 |
| 116 | KWTWestern Asia | -0.3431 | 41.122 |
| 117 | VNMSouth-eastern Asia | -0.3559 | 40.864 |
| 118 | BGREastern Europe | -0.3560 | 40.862 |
| 119 | COLSouth America | -0.3686 | 40.608 |
| 120 | SRBSouthern Europe | -0.3788 | 40.401 |
| 121 | BENWestern Africa | -0.4010 | 39.953 |
| 122 | GUYSouth America | -0.4063 | 39.846 |
| 123 | SLBMelanesia | -0.4084 | 39.805 |
| 124 | THASouth-eastern Asia | -0.4108 | 39.755 |
| 125 | NERWestern Africa | -0.4218 | 39.533 |
| 126 | ZMBEastern Africa | -0.4224 | 39.522 |
| 127 | ETHEastern Africa | -0.4359 | 39.250 |
| 128 | TZAEastern Africa | -0.4380 | 39.208 |
| 129 | EGYNorthern Africa | -0.4541 | 38.883 |
| 130 | CIVWestern Africa | -0.4694 | 38.575 |
| 131 | IDNSouth-eastern Asia | -0.4844 | 38.271 |
| 132 | BIHSouthern Europe | -0.4935 | 38.087 |
| 133 | PANCentral America | -0.4943 | 38.073 |
| 134 | PERSouth America | -0.5072 | 37.811 |
| 135 | ALBSouthern Europe | -0.5309 | 37.334 |
| 136 | SLVCentral America | -0.5615 | 36.716 |
| 137 | TONPolynesia | -0.5857 | 36.229 |
| 138 | PHLSouth-eastern Asia | -0.6123 | 35.692 |
| 139 | MNGEastern Asia | -0.6211 | 35.513 |
| 140 | ARMWestern Asia | -0.6217 | 35.503 |
| 141 | MLIWestern Africa | -0.6355 | 35.224 |
| 142 | TLSSouth-eastern Asia | -0.6378 | 35.178 |
| 143 | DZANorthern Africa | -0.6488 | 34.955 |
| 144 | IRNSouthern Asia | -0.6568 | 34.795 |
| 145 | TGOWestern Africa | -0.6672 | 34.584 |
| 146 | DJIEastern Africa | -0.7114 | 33.693 |
| 147 | GABMiddle Africa | -0.7552 | 32.808 |
| 148 | BOLSouth America | -0.7587 | 32.738 |
| 149 | MDVSouthern Asia | -0.7610 | 32.691 |
| 150 | ECUSouth America | -0.7644 | 32.624 |
| 151 | MDGEastern Africa | -0.7909 | 32.089 |
| 152 | DOMCaribbean | -0.7938 | 32.031 |
| 153 | AZEWestern Asia | -0.7996 | 31.913 |
| 154 | KAZCentral Asia | -0.8071 | 31.763 |
| 155 | PRYSouth America | -0.8076 | 31.752 |
| 156 | MEXCentral America | -0.8094 | 31.716 |
| 157 | LBRWestern Africa | -0.8323 | 31.254 |
| 158 | MRTWestern Africa | -0.8326 | 31.248 |
| 159 | SLEWestern Africa | -0.8346 | 31.207 |
| 160 | NPLSouthern Asia | -0.8441 | 31.016 |
| 161 | RUSEastern Europe | -0.8477 | 30.943 |
| 162 | MMRSouth-eastern Asia | -0.8496 | 30.904 |
| 163 | GTMCentral America | -0.8562 | 30.772 |
| 164 | MWIEastern Africa | -0.8587 | 30.722 |
| 165 | COMEastern Africa | -0.8651 | 30.593 |
| 166 | KENEastern Africa | -0.9100 | 29.687 |
| 167 | GMBWestern Africa | -0.9173 | 29.538 |
| 168 | HNDCentral America | -0.9219 | 29.447 |
| 169 | LAOSouth-eastern Asia | -0.9490 | 28.899 |
| 170 | PAKSouthern Asia | -0.9727 | 28.422 |
| 171 | MOZEastern Africa | -0.9770 | 28.336 |
| 172 | PNGMelanesia | -0.9817 | 28.241 |
| 173 | UKREastern Europe | -1.0005 | 27.861 |
| 174 | UGAEastern Africa | -1.0032 | 27.807 |
| 175 | GINWestern Africa | -1.0136 | 27.597 |
| 176 | BGDSouthern Asia | -1.0634 | 26.592 |
| 177 | LBNWestern Asia | -1.0703 | 26.454 |
| 178 | NGAWestern Africa | -1.0835 | 26.188 |
| 179 | NICCentral America | -1.0921 | 26.014 |
| 180 | MDAEastern Europe | -1.1144 | 25.563 |
| 181 | CMRMiddle Africa | -1.1380 | 25.087 |
| 182 | KGZCentral Asia | -1.1730 | 24.381 |
| 183 | TJKCentral Asia | -1.2035 | 23.767 |
| 184 | COGMiddle Africa | -1.2675 | 22.475 |
| 185 | UZBCentral Asia | -1.2718 | 22.389 |
| 186 | BDIEastern Africa | -1.3024 | 21.772 |
| 187 | CAFMiddle Africa | -1.3057 | 21.705 |
| 188 | ZWEEastern Africa | -1.3090 | 21.639 |
| 189 | KHMSouth-eastern Asia | -1.3319 | 21.177 |
| 190 | ERIEastern Africa | -1.3521 | 20.768 |
| 191 | IRQWestern Asia | -1.3974 | 19.854 |
| 192 | VENSouth America | -1.4174 | 19.451 |
| 193 | PRKEastern Asia | -1.4188 | 19.423 |
| 194 | CODMiddle Africa | -1.4194 | 19.411 |
| 195 | HTICaribbean | -1.4498 | 18.798 |
| 196 | TKMCentral Asia | -1.4654 | 18.483 |
| 197 | AGOMiddle Africa | -1.4881 | 18.026 |
| 198 | SDNNorthern Africa | -1.4924 | 17.940 |
| 199 | TCDMiddle Africa | -1.5028 | 17.728 |
| 200 | AFGSouthern Asia | -1.5598 | 16.580 |
| 201 | GNBWestern Africa | -1.5752 | 16.269 |
| 202 | SYRWestern Asia | -1.5917 | 15.936 |
| 203 | LBYNorthern Africa | -1.5983 | 15.803 |
| 204 | YEMWestern Asia | -1.6070 | 15.627 |
| 205 | GNQMiddle Africa | -1.6345 | 15.072 |
| 206 | SOMEastern Africa | -1.7389 | 12.967 |
| 207 | SSDEastern Africa | -1.7883 | 11.969 |
02In 2016
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- 1
Switzerland2.2844
- 2
New Zealand2.2083
- 3
Luxembourg2.1927
- 4
Finland2.1893
- 5
Denmark2.1711
Lowest
- 207
South Sudan-1.7883
- 206
Somalia-1.7389
- 205
Equatorial Guinea-1.6345
- 204
Yemen-1.6070
- 203
Libya-1.5983
A higher value is the better result. The middle country reads -0.2163. “Shared” marks a value another country also holds.
Each measure’s ends
Governance Score, Control of Corruption (0–100)
Highest
Switzerland94.123
Lowest
South Sudan11.969
Middle country: 43.679
032015 → 2016
Since 2015
What changed between 2015 and this one: who joined or left, and how far the headline moved.
- +0 / −2countries joined / left
- 207values changed, of 207 in both
- 124 · 83rose · fell
- 0unchanged
Rose most
Argentina-0.6423 → -0.2198+0.4225
Macau0.5694 → 0.8353+0.2659
Israel0.8492 → 1.1092+0.2600
Saudi Arabia-0.1441 → 0.1140+0.2581
Azerbaijan-0.9872 → -0.7996+0.1876
Fell most
Cayman Islands0.8953 → 0.6014−0.2938
Cuba0.2877 → 0.0045−0.2832
Maldives-0.5852 → -0.7610−0.1758
North Korea-1.2714 → -1.4188−0.1475
Malaysia0.2416 → 0.1013−0.1402
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 18 decimals. 6 countries share 1.1727. 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 · 9.8 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download control-of-corruption-2016-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 (2016). Control of Corruption, 2016 [data set], describing 2016. As held by Nations Inquiry, https://nationsinquiry.com/datasets/control-of-corruption/2016
0627 held
Other years
‹ The year before
Control of Corruption, 2015209 countries
The year after ›
Control of Corruption, 2017207 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, 2016: questions and answers
Which country has the highest control of corruption in Control of Corruption, 2016?
Switzerland, at 2.2844, of the 207 countries in the file.
What year does Control of Corruption, 2016 describe?
2016.
How many countries does Control of Corruption, 2016 cover?
207.
Where can I download Control of Corruption, 2016?
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, 2016 the newest?
No. The newest held here is Control of Corruption, 2025.