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
Archived historical series. The upstream provider discontinued or materially changed this indicator. Its published history is retained for research and URL continuity and is not refreshed.
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 | |
| NaoeroNRU | 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)