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
205 countries with data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Distribution across countries
Control of Corruption: Estimate
Countries
205
Median
-0.2
Mean
-0
25th pctl
-0.8
75th pctl
0.7
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 | |
| LatviaLVA | 0.7 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PortugalPRT | 0.7 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BotswanaBWA | 0.69 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| RwandaRWA | 0.67 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Costa RicaCRI | 0.65 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TuvaluTUV | 0.65 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SpainESP | 0.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GeorgiaGEO | 0.62 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NauruNRU | 0.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PalauPLW | 0.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PolandPOL | 0.57 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GrenadaGRD | 0.56 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ItalyITA | 0.55 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| DominicaDMA | 0.54 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| St. LuciaLCA | 0.54 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Saudi ArabiaSAU | 0.54 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FijiFJI | 0.51 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MauritiusMUS | 0.45 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Cayman IslandsCYM | 0.44 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| St. Kitts and NevisKNA | 0.41 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KiribatiKIR | 0.41 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Marshall IslandsMHL | 0.41 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Sao Tome and PrincipeSTP | 0.36 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CyprusCYP | 0.33 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Antigua and BarbudaATG | 0.33 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MalaysiaMYS | 0.3 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Slovak RepublicSVK | 0.29 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MaltaMLT | 0.24 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| OmanOMN | 0.22 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NamibiaNAM | 0.22 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| KuwaitKWT | 0.21 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CroatiaHRV | 0.18 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BahrainBHR | 0.18 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Puerto Rico (US)PRI | 0.11 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| GreeceGRC | 0.1 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| JordanJOR | 0.09 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ArmeniaARM | 0.06 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SenegalSEN | 0.06 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| RomaniaROU | 0.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ChinaCHN | -0.01 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Virgin Islands (U.S.)VIR | -0.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| VanuatuVUT | -0.03 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| CubaCUB | -0.06 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MontenegroMNE | -0.08 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BeninBEN | -0.09 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| GhanaGHA | -0.1 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| HungaryHUN | -0.1 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| JamaicaJAM | -0.11 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Solomon IslandsSLB | -0.13 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BulgariaBGR | -0.14 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Burkina FasoBFA | -0.17 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KosovoXKX | -0.19 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BelizeBLZ | -0.23 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Timor-LesteTLS | -0.23 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KazakhstanKAZ | -0.27 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MoldovaMDA | -0.28 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Gambia, TheGMB | -0.28 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| South AfricaZAF | -0.28 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TongaTON | -0.31 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ColombiaCOL | -0.31 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Cote d'IvoireCIV | -0.31 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TanzaniaTZA | -0.32 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AlbaniaALB | -0.33 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TunisiaTUN | -0.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| North MacedoniaMKD | -0.35 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ArgentinaARG | -0.36 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IndiaIND | -0.37 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Trinidad and TobagoTTO | -0.37 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GuyanaGUY | -0.38 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Sri LankaLKA | -0.38 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MaldivesMDV | -0.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SurinameSUR | -0.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Viet NamVNM | -0.42 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SerbiaSRB | -0.45 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Dominican RepublicDOM | -0.45 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EthiopiaETH | -0.47 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ZambiaZMB | -0.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IndonesiaIDN | -0.49 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ThailandTHA | -0.49 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MongoliaMNG | -0.49 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TurkiyeTUR | -0.5 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BrazilBRA | -0.5 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NepalNPL | -0.51 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LesothoLSO | -0.51 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MoroccoMAR | -0.54 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PhilippinesPHL | -0.54 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| El SalvadorSLV | -0.56 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NigerNER | -0.56 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Sierra LeoneSLE | -0.57 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Bosnia and HerzegovinaBIH | -0.58 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AlgeriaDZA | -0.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MalawiMWI | -0.6 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AngolaAGO | -0.61 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TogoTGO | -0.62 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PanamaPAN | -0.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EcuadorECU | -0.65 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Papua New GuineaPNG | -0.66 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BelarusBLR | -0.67 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| West Bank and GazaPSE | -0.68 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UkraineUKR | -0.69 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PeruPER | -0.72 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EswatiniSWZ | -0.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Egypt, Arab Rep.EGY | -0.75 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KenyaKEN | -0.77 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| DjiboutiDJI | -0.78 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UzbekistanUZB | -0.81 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MauritaniaMRT | -0.82 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MozambiqueMOZ | -0.83 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BoliviaBOL | -0.84 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MaliMLI | -0.86 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LiberiaLBR | -0.89 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GuineaGIN | -0.9 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Lao PDRLAO | -0.97 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ComorosCOM | -0.99 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PakistanPAK | -1 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MadagascarMDG | -1 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GabonGAB | -1.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MexicoMEX | -1.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NigeriaNGA | -1.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UgandaUGA | -1.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ParaguayPRY | -1.06 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Russian FederationRUS | -1.1 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| HondurasHND | -1.11 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BangladeshBGD | -1.12 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GuatemalaGTM | -1.12 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AfghanistanAFG | -1.15 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CameroonCMR | -1.16 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Guinea-BissauGNB | -1.18 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AzerbaijanAZE | -1.2 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MyanmarMMR | -1.22 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Kyrgyz RepublicKGZ | -1.22 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LebanonLBN | -1.23 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Iran, Islamic Rep.IRN | -1.23 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ZimbabweZWE | -1.26 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CambodiaKHM | -1.3 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Central African RepublicCAF | -1.31 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IraqIRQ | -1.32 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Congo, Rep.COG | -1.35 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TajikistanTJK | -1.38 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NicaraguaNIC | -1.39 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TurkmenistanTKM | -1.42 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| HaitiHTI | -1.44 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EritreaERI | -1.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Congo, Dem. Rep.COD | -1.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ChadTCD | -1.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SudanSDN | -1.5 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LibyaLBY | -1.53 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BurundiBDI | -1.56 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Equatorial GuineaGNQ | -1.57 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Korea, Dem. People's Rep.PRK | -1.58 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Yemen, Rep.YEM | -1.65 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Venezuela, RBVEN | -1.69 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Somalia, Fed. Rep.SOM | -1.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Syrian Arab RepublicSYR | -1.75 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| South SudanSSD | -1.97 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 |
Source: World Bank (WB WDI)