Statistical performance indicators (SPI): Pillar 4 data sources score in Djibouti
Djibouti: Statistical performance indicators (SPI): Pillar 4 data sources score was 16.57 scale 0-100 in 2024. ▼ Falling
Statistical performance indicators (SPI): Pillar 4 data sources score in Djibouti, 2015–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Djibouti recorded 16.57 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024.
Compared with earlier readings it is up 6.4% on the previous year and down 8.9% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 4 data sources score in Djibouti peaked at 18.18 scale 0-100 in 2015 and was at its lowest, 13.39 scale 0-100, in 2020.
That places Djibouti 177th out of 182 countries with data for 2024, putting it in the bottom quarter.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 16 scale 0-100 | 14.41 scale 0-100 | 18.18 scale 0-100 | 5 |
| 2020s | 15.23 scale 0-100 | 13.39 scale 0-100 | 16.57 scale 0-100 | 5 |
Countries ranked near Djibouti
More public sector data for Djibouti
- Arms imports 0 SIPRI trend indicator values (2023)
- Military expenditure 2.6% (2008)
- Military expenditure 36.27 million current USD (2008)
- Armed forces personnel, total 13,000 (2020)
- Armed forces personnel 5.4% (2020)
- Statistical performance indicators (SPI): Pillar 1 data use score 40 scale 0-100 (2024)
- Statistical performance indicators (SPI): Pillar 3 data products score 55.71 scale 0-100 (2024)
- Military expenditure 6.45 billion current LCU (2008)
- Proportion of seats held by women in national parliaments 26.2% (2025)
- Military expenditure 9.1% (2008)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Djibouti?
- Statistical performance indicators (spi): pillar 4 data sources score in Djibouti was 16.57 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Djibouti?
- The highest recorded value was 18.18 scale 0-100 in 2015.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Djibouti?
- The lowest recorded value was 13.39 scale 0-100 in 2020.
- How does Djibouti rank for statistical performance indicators (spi): pillar 4 data sources score?
- Djibouti ranks 177th out of 182 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 4 data sources score rising or falling in Djibouti?
- Over the last ten years it is down 8.9%. The long-run trend across the full record is falling.
- Where does this Djibouti data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.