Political Stability and Absence of Violence/Terrorism: Estimate
GovernanceWB WDIwb_wdi:PV.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
Cayman Islands
CYM
1.6256 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Liechtenstein
LIE
1.6128 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Andorra
AND
1.5835 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Greenland
GRL
1.4954 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Aruba
ABW
1.4325 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Singapore
SGP
1.4242 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Political Stability and Absence of Violence/Terrorism: 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
-1 – -0.48
-0.48 – -0.22
-0.22 – 0.36
0.36 – 0.7
0.7 – 1.01
> 1.01
No data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Highest 15 countries
Political Stability and Absence of Violence/Terrorism: Estimate
205 countries with data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Distribution across countries
Political Stability and Absence of Violence/Terrorism: Estimate
Countries
205
Median
0.1
Mean
-0
25th pctl
-0.6
75th pctl
0.8
Generated by MacroVedia.comSource: World Bank (WB WDI)
Compare trends
Political Stability and Absence of Violence/Terrorism: Estimate
Cayman IslandsLiechtensteinAndorra
Generated by MacroVedia.comSource: World Bank (WB WDI)
| Country | Latest | Date | Trend |
|---|---|---|---|
| Cayman IslandsCYM | 1.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LiechtensteinLIE | 1.61 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AndorraAND | 1.58 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GreenlandGRL | 1.5 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ArubaABW | 1.43 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SingaporeSGP | 1.42 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Brunei DarussalamBRN | 1.37 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| New ZealandNZL | 1.36 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| DominicaDMA | 1.29 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IcelandISL | 1.21 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TuvaluTUV | 1.19 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BarbadosBRB | 1.19 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MonacoMCO | 1.18 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Marshall IslandsMHL | 1.18 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| San MarinoSMR | 1.18 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| American SamoaASM | 1.11 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KiribatiKIR | 1.1 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SamoaWSM | 1.1 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TongaTON | 1.09 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Micronesia, Fed. Sts.FSM | 1.08 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PalauPLW | 1.08 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SwitzerlandCHE | 1.07 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Macao SAR, ChinaMAC | 1.07 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LuxembourgLUX | 1.05 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BotswanaBWA | 1.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BermudaBMU | 1.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GrenadaGRD | 1.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| St. LuciaLCA | 1.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| St. Vincent and the GrenadinesVCT | 1.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Bahamas, TheBHS | 1.01 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| QatarQAT | 0.99 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Costa RicaCRI | 0.98 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BhutanBTN | 0.98 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NauruNRU | 0.98 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CzechiaCZE | 0.97 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UruguayURY | 0.96 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| JapanJPN | 0.95 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| VanuatuVUT | 0.93 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Antigua and BarbudaATG | 0.92 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| St. Kitts and NevisKNA | 0.92 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AustraliaAUS | 0.92 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Cabo VerdeCPV | 0.9 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IrelandIRL | 0.9 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GuamGUM | 0.89 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NorwayNOR | 0.89 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MaltaMLT | 0.86 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| DenmarkDNK | 0.85 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CanadaCAN | 0.82 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SloveniaSVN | 0.82 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Lao PDRLAO | 0.81 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MauritiusMUS | 0.78 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SeychellesSYC | 0.76 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SwedenSWE | 0.76 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FijiFJI | 0.74 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LithuaniaLTU | 0.74 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| HungaryHUN | 0.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AustriaAUT | 0.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FinlandFIN | 0.71 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PortugalPRT | 0.71 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United Arab EmiratesARE | 0.68 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Hong Kong SAR, ChinaHKG | 0.67 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EstoniaEST | 0.66 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NetherlandsNLD | 0.66 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Korea, Rep.KOR | 0.61 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CroatiaHRV | 0.6 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MongoliaMNG | 0.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LatviaLVA | 0.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GermanyDEU | 0.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| OmanOMN | 0.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BelizeBLZ | 0.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ItalyITA | 0.58 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Slovak RepublicSVK | 0.57 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PolandPOL | 0.56 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NamibiaNAM | 0.54 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Virgin Islands (U.S.)VIR | 0.53 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MaldivesMDV | 0.53 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United KingdomGBR | 0.51 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Puerto Rico (US)PRI | 0.51 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Solomon IslandsSLB | 0.45 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Sao Tome and PrincipeSTP | 0.44 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SurinameSUR | 0.41 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CyprusCYP | 0.41 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KuwaitKWT | 0.41 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BelgiumBEL | 0.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Trinidad and TobagoTTO | 0.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| JamaicaJAM | 0.38 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CubaCUB | 0.38 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| RomaniaROU | 0.37 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FranceFRA | 0.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BulgariaBGR | 0.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SpainESP | 0.29 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Timor-LesteTLS | 0.26 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GreeceGRC | 0.24 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Dominican RepublicDOM | 0.24 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PanamaPAN | 0.21 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ZambiaZMB | 0.2 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AlbaniaALB | 0.18 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| North MacedoniaMKD | 0.17 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MalaysiaMYS | 0.17 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ChileCHL | 0.14 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| RwandaRWA | 0.11 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ParaguayPRY | 0.08 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MontenegroMNE | 0.07 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CambodiaKHM | 0.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Congo, Rep.COG | 0.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| United StatesUSA | 0.03 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| El SalvadorSLV | 0 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Gambia, TheGMB | -0.01 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Viet NamVNM | -0.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GuyanaGUY | -0.06 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TurkmenistanTKM | -0.11 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ArgentinaARG | -0.13 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SenegalSEN | -0.14 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UzbekistanUZB | -0.15 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SerbiaSRB | -0.17 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| GhanaGHA | -0.2 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| JordanJOR | -0.2 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NepalNPL | -0.23 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ComorosCOM | -0.23 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Equatorial GuineaGNQ | -0.24 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MalawiMWI | -0.24 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Sierra LeoneSLE | -0.24 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GuatemalaGTM | -0.24 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TanzaniaTZA | -0.26 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| LiberiaLBR | -0.27 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| ThailandTHA | -0.28 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LesothoLSO | -0.31 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BoliviaBOL | -0.31 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KosovoXKX | -0.32 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Guinea-BissauGNB | -0.33 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GabonGAB | -0.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GeorgiaGEO | -0.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EcuadorECU | -0.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BeninBEN | -0.35 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Bosnia and HerzegovinaBIH | -0.35 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Saudi ArabiaSAU | -0.36 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| EswatiniSWZ | -0.36 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NicaraguaNIC | -0.36 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| Korea, Dem. People's Rep.PRK | -0.37 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MoroccoMAR | -0.37 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BahrainBHR | -0.37 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IndonesiaIDN | -0.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BrazilBRA | -0.41 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| HondurasHND | -0.46 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KazakhstanKAZ | -0.47 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| TajikistanTJK | -0.47 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Papua New GuineaPNG | -0.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Kyrgyz RepublicKGZ | -0.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MauritaniaMRT | -0.5 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Sri LankaLKA | -0.51 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ChinaCHN | -0.51 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| DjiboutiDJI | -0.52 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PeruPER | -0.52 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PhilippinesPHL | -0.57 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AlgeriaDZA | -0.58 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AngolaAGO | -0.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| MexicoMEX | -0.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TunisiaTUN | -0.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Cote d'IvoireCIV | -0.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IndiaIND | -0.64 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| South AfricaZAF | -0.67 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MoldovaMDA | -0.68 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MadagascarMDG | -0.69 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UgandaUGA | -0.7 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ColombiaCOL | -0.72 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BelarusBLR | -0.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AzerbaijanAZE | -0.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EritreaERI | -0.79 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ArmeniaARM | -0.83 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Egypt, Arab Rep.EGY | -0.87 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GuineaGIN | -0.88 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BangladeshBGD | -0.91 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ZimbabweZWE | -0.93 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| KenyaKEN | -0.94 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TogoTGO | -0.95 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| TurkiyeTUR | -1.01 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Russian FederationRUS | -1.13 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BurundiBDI | -1.17 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Venezuela, RBVEN | -1.19 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MozambiqueMOZ | -1.27 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CameroonCMR | -1.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UkraineUKR | -1.43 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| HaitiHTI | -1.43 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IsraelISR | -1.46 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LebanonLBN | -1.52 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ChadTCD | -1.56 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NigerNER | -1.67 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Iran, Islamic Rep.IRN | -1.69 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NigeriaNGA | -1.77 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| West Bank and GazaPSE | -1.87 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PakistanPAK | -1.93 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EthiopiaETH | -1.97 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Burkina FasoBFA | -2.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Congo, Dem. Rep.COD | -2.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MyanmarMMR | -2.13 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LibyaLBY | -2.17 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| South SudanSSD | -2.19 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Central African RepublicCAF | -2.2 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Somalia, Fed. Rep.SOM | -2.38 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IraqIRQ | -2.41 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SudanSDN | -2.47 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AfghanistanAFG | -2.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Yemen, Rep.YEM | -2.56 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MaliMLI | -2.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Syrian Arab RepublicSYR | -2.75 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 |
Source: World Bank (WB WDI)