Government Effectiveness - Governance estimate in Djibouti
Djibouti: Government Effectiveness - Governance estimate was -0.493 approx. -2.5 to +2.5 in 2024. ▲ Rising
Government Effectiveness - Governance estimate in Djibouti, 1996–2024
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
The most recent figure for government effectiveness - governance estimate in Djibouti is -0.493 approx. -2.5 to +2.5, measured in 2024. That is the highest value across all 26 years on record.
That represents a change of up 8.0% on the previous year and up 28.6% over ten years.
Over the whole period, government effectiveness - governance estimate in Djibouti peaked at -0.493 approx. -2.5 to +2.5 in 2024 and was at its lowest, -1.32 approx. -2.5 to +2.5, in 1998.
Djibouti ranks 139th of 204 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -1.31 approx. -2.5 to +2.5 | -1.32 approx. -2.5 to +2.5 | -1.31 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.882 approx. -2.5 to +2.5 | -1.31 approx. -2.5 to +2.5 | -0.7162 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.7305 approx. -2.5 to +2.5 | -0.7792 approx. -2.5 to +2.5 | -0.653 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.582 approx. -2.5 to +2.5 | -0.675 approx. -2.5 to +2.5 | -0.493 approx. -2.5 to +2.5 | 5 |
Countries ranked near Djibouti
More reference data data for Djibouti
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.04 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 274.59 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 1.03 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.2286 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 0.0002 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0175 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.01 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0092 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0016 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.2286 (2050)
Frequently asked questions
- What is government effectiveness - governance estimate in Djibouti?
- Government effectiveness - governance estimate in Djibouti was -0.493 approx. -2.5 to +2.5 in 2024, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest government effectiveness - governance estimate recorded in Djibouti?
- The highest recorded value was -0.493 approx. -2.5 to +2.5 in 2024.
- What is the lowest government effectiveness - governance estimate recorded in Djibouti?
- The lowest recorded value was -1.32 approx. -2.5 to +2.5 in 1998.
- How does Djibouti rank for government effectiveness - governance estimate?
- Djibouti ranks 139th out of 204 countries with data for 2024.
- Is government effectiveness - governance estimate rising or falling in Djibouti?
- Over the last ten years it is up 28.6%. The long-run trend across the full record is rising.
- Where does this Djibouti data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Government Effectiveness - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Government Effectiveness (GE) captures perceptions of the quality of public services, the civil service, policy formulation and implementation, and the credibility of a government’s decisions. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.