Government Effectiveness: Estimate
Macro & GDPWB WDIwb_wdi:GE.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.
Macro & GDPWB WDI
Coverage
205
Frequency
yearly
Range
1996 \u2192 2023
Latest
2023
Spotlight
Singapore
SGP
2.3175 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Switzerland
CHE
2.1349 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Monaco
MCO
2.023 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Denmark
DNK
2.0156 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Luxembourg
LUX
1.9142 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Norway
NOR
1.7999 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Government Effectiveness: 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)
≤ -1.02
-1.02 – -0.67
-0.67 – -0.29
-0.29 – 0.13
0.13 – 0.58
0.58 – 1.16
> 1.16
No data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Highest 15 countries
Government Effectiveness: Estimate
50 countries with data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Distribution across countries
Government Effectiveness: Estimate
Countries
50
Median
1.2
Mean
1.3
25th pctl
1
75th pctl
1.6
Generated by MacroVedia.comSource: World Bank (WB WDI)
Compare trends
Government Effectiveness: Estimate
SingaporeSwitzerlandDenmark
Generated by MacroVedia.comSource: World Bank (WB WDI)
| Country | Latest | Date | Trend |
|---|---|---|---|
| SingaporeSGP | 2.32 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SwitzerlandCHE | 2.13 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MonacoMCO | 2.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| DenmarkDNK | 2.02 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LuxembourgLUX | 1.91 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NorwayNOR | 1.8 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FinlandFIN | 1.74 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| JapanJPN | 1.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LiechtensteinLIE | 1.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NetherlandsNLD | 1.63 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United Arab EmiratesARE | 1.6 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SwedenSWE | 1.6 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IrelandIRL | 1.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AustraliaAUS | 1.59 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IcelandISL | 1.56 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Hong Kong SAR, ChinaHKG | 1.55 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| New ZealandNZL | 1.53 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CanadaCAN | 1.52 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AndorraAND | 1.48 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Korea, Rep.KOR | 1.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Brunei DarussalamBRN | 1.4 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AustriaAUT | 1.33 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EstoniaEST | 1.26 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Cayman IslandsCYM | 1.24 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United StatesUSA | 1.22 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BermudaBMU | 1.2 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| San MarinoSMR | 1.2 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| QatarQAT | 1.2 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GermanyDEU | 1.19 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United KingdomGBR | 1.16 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IsraelISR | 1.15 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FranceFRA | 1.14 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CzechiaCZE | 1.11 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Macao SAR, ChinaMAC | 1.09 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LithuaniaLTU | 1.05 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SloveniaSVN | 1.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BelgiumBEL | 1.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PortugalPRT | 0.99 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MalaysiaMYS | 0.88 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| UruguayURY | 0.85 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MaltaMLT | 0.8 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2022 | |
| Saudi ArabiaSAU | 0.8 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ArubaABW | 0.8 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GeorgiaGEO | 0.79 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GreenlandGRL | 0.76 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SpainESP | 0.75 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CyprusCYP | 0.74 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ChileCHL | 0.72 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CroatiaHRV | 0.71 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MauritiusMUS | 0.71 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 |
Source: World Bank (WB WDI)