Data for 2020
Corruption Perceptions Index, 2020
Figures for 2020, as Transparency International published them · stored as published, never rewritten
Corruption Perceptions Index, 2020 covers 180 countries on 3 measures. 2 countries share the highest reading, 88; 2 countries share the lowest reading, 12. The middle country reads 40. Against 2019, 110 values changed (62 up, 48 down), the same countries are covered.
Corruption Perceptions Index · Data for 2020
Highest2 countries share it
88Lowest2 countries share it
12Shaded by value in five groups of equal size, darkest at the better end.
01Transparency International’s rank
The table
Every country and every column of Corruption Perceptions Index, 2020, as published. The rank is Transparency International’s own, as printed. “=” marks a shared position.
Showing 25 of 180 countries · select a heading to sort
| =1 | DNKNorthern Europe | 88 | 8 | 1.77581 | Western Europe & European Union |
| =1 | NZLAustralia and New Zealand | 88 | 8 | 1.47934 | Asia Pacific |
| =3 | FINNorthern Europe | 85 | 8 | 1.74859 | Western Europe & European Union |
| =3 | SGPSouth-eastern Asia | 85 | 9 | 1.20324 | Asia Pacific |
| =3 | SWENorthern Europe | 85 | 8 | 1.30395 | Western Europe & European Union |
| =3 | CHEWestern Europe | 85 | 7 | 1.09663 | Western Europe & European Union |
| 7 | NORNorthern Europe | 84 | 7 | 1.25771 | Western Europe & European Union |
| 8 | NLDWestern Europe | 82 | 8 | 1.43821 | Western Europe & European Union |
| =9 | DEUWestern Europe | 80 | 8 | 1.99959 | Western Europe & European Union |
| =9 | LUXWestern Europe | 80 | 7 | 1.50317 | Western Europe & European Union |
| =11 | AUSAustralia and New Zealand | 77 | 9 | 1.04657 | Asia Pacific |
| =11 | CANNorthern America | 77 | 8 | 1.77113 | Americas |
| =11 | HKGEastern Asia | 77 | 8 | 1.79497 | Asia Pacific |
| =11 | GBRNorthern Europe | 77 | 8 | 2.20105 | Western Europe & European Union |
| =15 | AUTWestern Europe | 76 | 8 | 0.67404 | Western Europe & European Union |
| =15 | BELWestern Europe | 76 | 7 | 1.05376 | Western Europe & European Union |
| =17 | ESTNorthern Europe | 75 | 10 | 0.87295 | Western Europe & European Union |
| =17 | ISLNorthern Europe | 75 | 7 | 3.86474 | Western Europe & European Union |
| 19 | JPNEastern Asia | 74 | 9 | 2.02472 | Asia Pacific |
| 20 | IRLNorthern Europe | 72 | 7 | 2.15231 | Western Europe & European Union |
| =21 | AREWestern Asia | 71 | 8 | 3.22619 | Middle East & North Africa |
| =21 | URYSouth America | 71 | 7 | 1.72360 | Americas |
| 23 | FRAWestern Europe | 69 | 8 | 1.40067 | Western Europe & European Union |
| 24 | BTNSouthern Asia | 68 | 4 | 2.38733 | Asia Pacific |
| =25 | CHLSouth America | 67 | 9 | 1.22599 | Americas |
| =25 | USANorthern America | 67 | 9 | 2.48632 | Americas |
| 27 | SYCEastern Africa | 66 | 4 | 2.97433 | Sub-Saharan Africa |
| 28 | TWNEastern Asia | 65 | 8 | 2.05965 | Asia Pacific |
| 29 | BRBCaribbean | 64 | 4 | 5.47144 | Americas |
| =30 | BHSCaribbean | 63 | 3 | 5.80168 | Americas |
| =30 | QATWestern Asia | 63 | 7 | 5.34654 | Middle East & North Africa |
| 32 | ESPSouthern Europe | 62 | 8 | 2.00949 | Western Europe & European Union |
| =33 | PRTSouthern Europe | 61 | 8 | 1.72786 | Western Europe & European Union |
| =33 | KOREastern Asia | 61 | 10 | 1.11053 | Asia Pacific |
| =35 | BWASouthern Africa | 60 | 7 | 2.87619 | Sub-Saharan Africa |
| =35 | BRNSouth-eastern Asia | 60 | 3 | 5.58508 | Asia Pacific |
| =35 | ISRWestern Asia | 60 | 7 | 1.33842 | Middle East & North Africa |
| =35 | LTUNorthern Europe | 60 | 9 | 1.34077 | Western Europe & European Union |
| =35 | SVNSouthern Europe | 60 | 10 | 1.12524 | Western Europe & European Union |
| 40 | VCTCaribbean | 59 | 3 | 4.01974 | Americas |
| 41 | CPVWestern Africa | 58 | 4 | 3.72251 | Sub-Saharan Africa |
| =42 | CRICentral America | 57 | 7 | 2.58101 | Americas |
| =42 | CYPWestern Asia | 57 | 7 | 3.19193 | Western Europe & European Union |
| =42 | LVANorthern Europe | 57 | 9 | 1.91596 | Western Europe & European Union |
| =45 | GEOWestern Asia | 56 | 5 | 3.14973 | Eastern Europe & Central Asia |
| =45 | POLEastern Europe | 56 | 10 | 1.38571 | Western Europe & European Union |
| =45 | LCACaribbean | 56 | 3 | 4.16661 | Americas |
| 48 | DMACaribbean | 55 | 3 | 1.97621 | Americas |
| =49 | CZEEastern Europe | 54 | 10 | 1.09898 | Western Europe & European Union |
| =49 | OMNWestern Asia | 54 | 6 | 7.47254 | Middle East & North Africa |
| =49 | RWAEastern Africa | 54 | 7 | 3.39292 | Sub-Saharan Africa |
| =52 | GRDCaribbean | 53 | 3 | 3.48189 | Americas |
| =52 | ITASouthern Europe | 53 | 8 | 2.10790 | Western Europe & European Union |
| =52 | MLTSouthern Europe | 53 | 6 | 1.42296 | Western Europe & European Union |
| =52 | MUSEastern Africa | 53 | 6 | 1.53596 | Sub-Saharan Africa |
| =52 | SAUWestern Asia | 53 | 7 | 5.36136 | Middle East & North Africa |
| =57 | MYSSouth-eastern Asia | 51 | 9 | 1.61751 | Asia Pacific |
| =57 | NAMSouthern Africa | 51 | 7 | 1.88383 | Sub-Saharan Africa |
| 59 | GRCSouthern Europe | 50 | 8 | 1.81035 | Western Europe & European Union |
| =60 | ARMWestern Asia | 49 | 6 | 3.50478 | Eastern Europe & Central Asia |
| =60 | JORWestern Asia | 49 | 8 | 2.20104 | Middle East & North Africa |
| =60 | SVKEastern Europe | 49 | 9 | 2.69166 | Western Europe & European Union |
| =63 | BLREastern Europe | 47 | 7 | 3.37605 | Eastern Europe & Central Asia |
| =63 | HRVSouthern Europe | 47 | 10 | 1.47664 | Western Europe & European Union |
| =63 | CUBCaribbean | 47 | 5 | 2.81226 | Americas |
| =63 | STPMiddle Africa | 47 | 4 | 5.05854 | Sub-Saharan Africa |
| =67 | MNESouthern Europe | 45 | 5 | 3.24858 | Eastern Europe & Central Asia |
| =67 | SENWestern Africa | 45 | 9 | 1.32898 | Sub-Saharan Africa |
| =69 | BGREastern Europe | 44 | 10 | 1.29055 | Western Europe & European Union |
| =69 | HUNEastern Europe | 44 | 10 | 1.27156 | Western Europe & European Union |
| =69 | JAMCaribbean | 44 | 7 | 3.34319 | Americas |
| =69 | ROUEastern Europe | 44 | 10 | 0.89221 | Western Europe & European Union |
| =69 | ZAFSouthern Africa | 44 | 8 | 2.16715 | Sub-Saharan Africa |
| =69 | TUNNorthern Africa | 44 | 7 | 2.82747 | Middle East & North Africa |
| =75 | GHAWestern Africa | 43 | 9 | 1.51647 | Sub-Saharan Africa |
| =75 | MDVSouthern Asia | 43 | 3 | 7.69273 | Asia Pacific |
| =75 | VUTMelanesia | 43 | 3 | 3.58786 | Asia Pacific |
| =78 | ARGSouth America | 42 | 8 | 2.31806 | Americas |
| =78 | BHRWestern Asia | 42 | 6 | 5.91472 | Middle East & North Africa |
| =78 | CHNEastern Asia | 42 | 8 | 1.63019 | Asia Pacific |
| =78 | KWTWestern Asia | 42 | 6 | 1.88292 | Middle East & North Africa |
| =78 | SLBMelanesia | 42 | 3 | 7.80027 | Asia Pacific |
| =83 | BENWestern Africa | 41 | 7 | 1.79704 | Sub-Saharan Africa |
| =83 | GUYSouth America | 41 | 5 | 3.53952 | Americas |
| =83 | LSOSouthern Africa | 41 | 6 | 3.23779 | Sub-Saharan Africa |
| =86 | BFAWestern Africa | 40 | 8 | 1.62232 | Sub-Saharan Africa |
| =86 | INDSouthern Asia | 40 | 9 | 1.14157 | Asia Pacific |
| =86 | MARNorthern Africa | 40 | 7 | 2.21557 | Middle East & North Africa |
| =86 | TLSSouth-eastern Asia | 40 | 4 | 2.70774 | Asia Pacific |
| =86 | TTOCaribbean | 40 | 7 | 3.73358 | Americas |
| =86 | TURWestern Asia | 40 | 9 | 2.05516 | Eastern Europe & Central Asia |
| =92 | COLSouth America | 39 | 8 | 1.58831 | Americas |
| =92 | ECUSouth America | 39 | 7 | 1.73220 | Americas |
| =94 | BRASouth America | 38 | 8 | 2.49938 | Americas |
| =94 | ETHEastern Africa | 38 | 9 | 1.00202 | Sub-Saharan Africa |
| =94 | KAZCentral Asia | 38 | 9 | 3.11629 | Eastern Europe & Central Asia |
| =94 | PERSouth America | 38 | 8 | 1.97999 | Americas |
| =94 | SRBSouthern Europe | 38 | 8 | 1.65929 | Eastern Europe & Central Asia |
| =94 | LKASouthern Asia | 38 | 8 | 1.16946 | Asia Pacific |
| =94 | SURSouth America | 38 | 4 | 1.68690 | Americas |
| =94 | TZAEastern Africa | 38 | 9 | 0.80379 | Sub-Saharan Africa |
| =102 | GMBWestern Africa | 37 | 8 | 3.19398 | Sub-Saharan Africa |
| =102 | IDNSouth-eastern Asia | 37 | 9 | 1.70828 | Asia Pacific |
| =104 | ALBSouthern Europe | 36 | 8 | 0.91549 | Eastern Europe & Central Asia |
| =104 | DZANorthern Africa | 36 | 7 | 1.48148 | Middle East & North Africa |
| =104 | CIVWestern Africa | 36 | 9 | 1.45833 | Sub-Saharan Africa |
| =104 | SLVCentral America | 36 | 7 | 1.37828 | Americas |
| =104 | XKXSouthern Europe | 36 | 6 | 0.68317 | Eastern Europe & Central Asia |
| =104 | THASouth-eastern Asia | 36 | 9 | 1.30788 | Asia Pacific |
| =104 | VNMSouth-eastern Asia | 36 | 8 | 1.80822 | Asia Pacific |
| =111 | BIHSouthern Europe | 35 | 7 | 1.86721 | Eastern Europe & Central Asia |
| =111 | MNGEastern Asia | 35 | 9 | 0.70917 | Asia Pacific |
| =111 | MKDSouthern Europe | 35 | 7 | 2.44184 | Eastern Europe & Central Asia |
| =111 | PANCentral America | 35 | 7 | 0.76901 | Americas |
| =115 | MDAEastern Europe | 34 | 9 | 1.23791 | Eastern Europe & Central Asia |
| =115 | PHLSouth-eastern Asia | 34 | 9 | 0.92004 | Asia Pacific |
| =117 | EGYNorthern Africa | 33 | 7 | 3.68174 | Middle East & North Africa |
| =117 | SWZSouthern Africa | 33 | 4 | 4.93164 | Sub-Saharan Africa |
| =117 | NPLSouthern Asia | 33 | 6 | 1.35067 | Asia Pacific |
| =117 | SLEWestern Africa | 33 | 8 | 2.42092 | Sub-Saharan Africa |
| =117 | UKREastern Europe | 33 | 9 | 1.31305 | Eastern Europe & Central Asia |
| =117 | ZMBEastern Africa | 33 | 9 | 0.95661 | Sub-Saharan Africa |
| 123 | NERWestern Africa | 32 | 7 | 1.19665 | Sub-Saharan Africa |
| =124 | BOLSouth America | 31 | 7 | 2.04803 | Americas |
| =124 | KENEastern Africa | 31 | 9 | 1.49291 | Sub-Saharan Africa |
| =124 | KGZCentral Asia | 31 | 7 | 1.28063 | Eastern Europe & Central Asia |
| =124 | MEXCentral America | 31 | 9 | 1.38133 | Americas |
| =124 | PAKSouthern Asia | 31 | 8 | 1.79867 | Asia Pacific |
| =129 | AZEWestern Asia | 30 | 7 | 5.00002 | Eastern Europe & Central Asia |
| =129 | GABMiddle Africa | 30 | 6 | 2.34829 | Sub-Saharan Africa |
| =129 | MWIEastern Africa | 30 | 9 | 1.15658 | Sub-Saharan Africa |
| =129 | MLIWestern Africa | 30 | 8 | 1.49772 | Sub-Saharan Africa |
| =129 | RUSEastern Europe | 30 | 9 | 1.33419 | Eastern Europe & Central Asia |
| =134 | LAOSouth-eastern Asia | 29 | 5 | 3.95303 | Asia Pacific |
| =134 | MRTWestern Africa | 29 | 6 | 1.60338 | Sub-Saharan Africa |
| =134 | TGOWestern Africa | 29 | 7 | 1.75059 | Sub-Saharan Africa |
| =137 | DOMCaribbean | 28 | 7 | 1.91381 | Americas |
| =137 | GINWestern Africa | 28 | 8 | 1.87811 | Sub-Saharan Africa |
| =137 | LBRWestern Africa | 28 | 7 | 2.01125 | Sub-Saharan Africa |
| =137 | MMRSouth-eastern Asia | 28 | 7 | 2.65018 | Asia Pacific |
| =137 | PRYSouth America | 28 | 6 | 2.19056 | Americas |
| =142 | AGOMiddle Africa | 27 | 7 | 2.01114 | Sub-Saharan Africa |
| =142 | DJIEastern Africa | 27 | 5 | 1.52940 | Sub-Saharan Africa |
| =142 | PNGMelanesia | 27 | 6 | 1.61913 | Asia Pacific |
| =142 | UGAEastern Africa | 27 | 9 | 1.15384 | Sub-Saharan Africa |
| =146 | BGDSouthern Asia | 26 | 8 | 1.71569 | Asia Pacific |
| =146 | CAFMiddle Africa | 26 | 5 | 0.93265 | Sub-Saharan Africa |
| =146 | UZBCentral Asia | 26 | 7 | 1.52041 | Eastern Europe & Central Asia |
| =149 | CMRMiddle Africa | 25 | 9 | 1.36494 | Sub-Saharan Africa |
| =149 | GTMCentral America | 25 | 7 | 1.38045 | Americas |
| =149 | IRNSouthern Asia | 25 | 7 | 2.55992 | Middle East & North Africa |
| =149 | LBNWestern Asia | 25 | 7 | 1.15365 | Middle East & North Africa |
| =149 | MDGEastern Africa | 25 | 8 | 1.51131 | Sub-Saharan Africa |
| =149 | MOZEastern Africa | 25 | 9 | 1.59715 | Sub-Saharan Africa |
| =149 | NGAWestern Africa | 25 | 8 | 1.44864 | Sub-Saharan Africa |
| =149 | TJKCentral Asia | 25 | 6 | 5.08664 | Eastern Europe & Central Asia |
| =157 | HNDCentral America | 24 | 7 | 1.52338 | Americas |
| =157 | ZWEEastern Africa | 24 | 9 | 1.35259 | Sub-Saharan Africa |
| 159 | NICCentral America | 22 | 7 | 0.89837 | Americas |
| =160 | KHMSouth-eastern Asia | 21 | 8 | 2.32271 | Asia Pacific |
| =160 | TCDMiddle Africa | 21 | 6 | 1.71020 | Sub-Saharan Africa |
| =160 | COMEastern Africa | 21 | 4 | 5.74956 | Sub-Saharan Africa |
| =160 | ERIEastern Africa | 21 | 5 | 4.57969 | Sub-Saharan Africa |
| =160 | IRQWestern Asia | 21 | 5 | 2.52276 | Middle East & North Africa |
| =165 | AFGSouthern Asia | 19 | 5 | 2.44001 | Asia Pacific |
| =165 | BDIEastern Africa | 19 | 6 | 3.73786 | Sub-Saharan Africa |
| =165 | GNBWestern Africa | 19 | 6 | 2.70877 | Sub-Saharan Africa |
| =165 | COGMiddle Africa | 19 | 6 | 0.80160 | Sub-Saharan Africa |
| =165 | TKMCentral Asia | 19 | 5 | 0.91227 | Eastern Europe & Central Asia |
| =170 | CODMiddle Africa | 18 | 9 | 0.74905 | Sub-Saharan Africa |
| =170 | HTICaribbean | 18 | 6 | 2.47075 | Americas |
| =170 | PRKEastern Asia | 18 | 4 | 3.45566 | Asia Pacific |
| 173 | LBYNorthern Africa | 17 | 5 | 1.71509 | Middle East & North Africa |
| =174 | GNQMiddle Africa | 16 | 4 | 2.59613 | Sub-Saharan Africa |
| =174 | SDNNorthern Africa | 16 | 7 | 2.14281 | Sub-Saharan Africa |
| =176 | VENSouth America | 15 | 8 | 0.91443 | Americas |
| =176 | YEMWestern Asia | 15 | 7 | 1.33360 | Middle East & North Africa |
| 178 | SYRWestern Asia | 14 | 5 | 1.57639 | Middle East & North Africa |
| =179 | SOMEastern Africa | 12 | 6 | 2.29227 | Sub-Saharan Africa |
| =179 | SSDEastern Africa | 12 | 5 | 1.10864 | Sub-Saharan Africa |
02In 2020
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
- #1
Denmarkshared88
- #1
New Zealandshared88
- #3
Switzerlandshared85
- #3
Finlandshared85
- #3
Singaporeshared85
Lowest
- #179
South Sudanshared12
- #179
Somaliashared12
- #178
Syria14
- #176
Yemenshared15
- #176
Venezuelashared15
A higher value is the better result. The middle country reads 40. “Shared” marks a value another country also holds.
Each measure’s ends
Data Sources Used
Highest9 share it
Lowest9 share it
Middle country: 7
Standard Error
Highest
Solomon Islands7.80027
Lowest
Austria0.67404
Middle country: 1.78539
032019 → 2020
Since 2019
What changed between 2019 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 110values changed, of 180 in both
- 62 · 48rose · fell
- 70unchanged
Rose most
Maldives29 → 43+14
Armenia42 → 49+7
Kazakhstan34 → 38+4
Afghanistan16 → 19+3
Brazil35 → 38+3
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.
63 distinct values among 180
Values are stored exactly as published. 8 countries share 38. Countries sharing a value share a position too.
The rank is Transparency International’s
Printed as the publisher ranked the countries; never re-ranked here.
Nothing missing
Every one of the 180 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
180 rows · 11 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download corruption-perceptions-index-2020-nations-inquiry.csv - ↗
The publisher’s original
Transparency International’s own file, on its own site.
CPI2025_Results.xlsx
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 (the data), CC BY-ND 4.0 (the website and report) · what it allows, in plain words
Cite this edition
Transparency International (2020). Corruption Perceptions Index, 2020 [data set], describing 2020. As held by Nations Inquiry, https://nationsinquiry.com/datasets/corruption-perceptions-index/2020
0614 held
Other years
‹ The year before
Corruption Perceptions Index, 2019180 countries
The year after ›
Corruption Perceptions Index, 2021180 countries
All of them
Corruption Perceptions Index: every year14 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Corruption Perceptions Index, 2020: questions and answers
Which country has the highest Corruption Perceptions Index in Corruption Perceptions Index, 2020?
2 countries share the highest reading, 88, so no single country is named.
What year does Corruption Perceptions Index, 2020 describe?
2020.
How many countries does Corruption Perceptions Index, 2020 cover?
180.
Where can I download Corruption Perceptions Index, 2020?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Corruption Perceptions Index, 2020 the newest?
No. The newest held here is Corruption Perceptions Index, 2025.