Control of Corruption: Estimate
GovernanceWB WDIwb_wdi:CC.EST•Units of a standard normal distribution (between -2.5 and 2.5, approximately)•1996 → 2023•205 countries
Series quick facts
High-level context for this country series.
GovernanceWB WDI
Coverage
205
Frequency
yearly
Range
1996 \u2192 2023
Latest
2023
Spotlight
Denmark
DNK
2.3761 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Finland
FIN
2.2215 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Norway
NOR
2.1135 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
New Zealand
NZL
2.0841 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Singapore
SGP
2.0402 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Sweden
SWE
2.0282 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Control of Corruption: Estimate by country
Latest available value per country (as of 2023)
Low \u2192 High
Unit: Units of a standard normal distribution (between -2.5 and 2.5, approximately)
≤ -1.15
-1.15 – -0.65
-0.65 – -0.37
-0.37 – 0.05
0.05 – 0.59
0.59 – 1.25
> 1.25
No data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Highest 15 countries
Control of Corruption: Estimate
50 countries with data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Distribution across countries
Control of Corruption: Estimate
Countries
50
Median
1.3
Mean
1.4
25th pctl
1
75th pctl
1.7
Generated by MacroVedia.comSource: World Bank (WB WDI)
Compare trends
Control of Corruption: Estimate
DenmarkFinlandNorway
Generated by MacroVedia.comSource: World Bank (WB WDI)
| Country | Latest | Date | Trend |
|---|---|---|---|
| DenmarkDNK | 2.38 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FinlandFIN | 2.22 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NorwayNOR | 2.11 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| New ZealandNZL | 2.08 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SingaporeSGP | 2.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SwedenSWE | 2.03 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SwitzerlandCHE | 2.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LuxembourgLUX | 1.93 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NetherlandsNLD | 1.87 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AustraliaAUS | 1.78 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LiechtensteinLIE | 1.71 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CanadaCAN | 1.67 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GermanyDEU | 1.66 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SeychellesSYC | 1.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Hong Kong SAR, ChinaHKG | 1.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IrelandIRL | 1.58 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UruguayURY | 1.57 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IcelandISL | 1.55 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EstoniaEST | 1.54 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BhutanBTN | 1.53 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United KingdomGBR | 1.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| JapanJPN | 1.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BarbadosBRB | 1.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BelgiumBEL | 1.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Brunei DarussalamBRN | 1.28 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Bahamas, TheBHS | 1.27 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AndorraAND | 1.25 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| American SamoaASM | 1.25 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BermudaBMU | 1.25 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GuamGUM | 1.25 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MonacoMCO | 1.25 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| San MarinoSMR | 1.25 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FranceFRA | 1.18 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AustriaAUT | 1.13 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United StatesUSA | 1.12 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United Arab EmiratesARE | 1.07 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GreenlandGRL | 1.03 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Cabo VerdeCPV | 0.98 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ChileCHL | 0.97 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Korea, Rep.KOR | 0.89 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Macao SAR, ChinaMAC | 0.85 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IsraelISR | 0.83 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Micronesia, Fed. Sts.FSM | 0.78 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LithuaniaLTU | 0.78 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SloveniaSVN | 0.78 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CzechiaCZE | 0.77 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| St. Vincent and the GrenadinesVCT | 0.74 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SamoaWSM | 0.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ArubaABW | 0.71 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| QatarQAT | 0.7 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 |
Source: World Bank (WB WDI)