Regulatory Quality: Estimate
GovernanceWB WDIwb_wdi:RQ.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
Singapore
SGP
2.3086 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Australia
AUS
1.9422 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Luxembourg
LUX
1.9291 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
New Zealand
NZL
1.9102 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Denmark
DNK
1.8395 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Macao SAR, China
MAC
1.7943 Units of a standard normal distribution (between -2.5 and 2.5, approximately)
2023
Regulatory Quality: 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)
≤ -1.06
-1.06 – -0.66
-0.66 – -0.29
-0.29 – 0.13
0.13 – 0.54
0.54 – 1.17
> 1.17
No data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Highest 15 countries
Regulatory Quality: Estimate
50 countries with data
Generated by MacroVedia.comSource: World Bank (WB WDI)
Distribution across countries
Regulatory Quality: Estimate
Countries
50
Median
1.3
Mean
1.3
25th pctl
1
75th pctl
1.6
Generated by MacroVedia.comSource: World Bank (WB WDI)
Compare trends
Regulatory Quality: Estimate
SingaporeAustraliaLuxembourg
Generated by MacroVedia.comSource: World Bank (WB WDI)
| Country | Latest | Date | Trend |
|---|---|---|---|
| SingaporeSGP | 2.31 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AustraliaAUS | 1.94 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 | |
| New ZealandNZL | 1.91 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| DenmarkDNK | 1.84 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Macao SAR, ChinaMAC | 1.79 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NetherlandsNLD | 1.79 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FinlandFIN | 1.77 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IrelandIRL | 1.75 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SwitzerlandCHE | 1.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SwedenSWE | 1.72 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CanadaCAN | 1.64 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LiechtensteinLIE | 1.62 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Hong Kong SAR, ChinaHKG | 1.6 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| NorwayNOR | 1.6 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United KingdomGBR | 1.54 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| JapanJPN | 1.47 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GermanyDEU | 1.46 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| EstoniaEST | 1.43 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United StatesUSA | 1.39 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AustriaAUT | 1.36 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| AndorraAND | 1.35 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MonacoMCO | 1.35 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Virgin Islands (U.S.)VIR | 1.35 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LithuaniaLTU | 1.34 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CzechiaCZE | 1.3 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IcelandISL | 1.28 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GreenlandGRL | 1.21 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| LatviaLVA | 1.17 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BelgiumBEL | 1.17 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| FranceFRA | 1.15 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Korea, Rep.KOR | 1.12 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| IsraelISR | 1.12 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BahrainBHR | 1.08 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Cayman IslandsCYM | 1.07 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MauritiusMUS | 1.06 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| United Arab EmiratesARE | 1.04 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| QatarQAT | 0.98 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| Brunei DarussalamBRN | 0.98 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ArubaABW | 0.95 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| GeorgiaGEO | 0.95 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| BermudaBMU | 0.93 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| San MarinoSMR | 0.93 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| ChileCHL | 0.93 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PolandPOL | 0.78 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| CyprusCYP | 0.78 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| PortugalPRT | 0.76 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SloveniaSVN | 0.73 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| SpainESP | 0.69 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 | |
| MaltaMLT | 0.69 Units of a standard normal distribution (between -2.5 and 2.5, approximately) | 2023 |
Source: World Bank (WB WDI)