Statistical performance indicators (SPI): Pillar 3 data products score in Djibouti
Djibouti: Statistical performance indicators (SPI): Pillar 3 data products score was 55.71 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 3 data products score in Djibouti, 2005–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Djibouti recorded 55.71 scale 0-100 for statistical performance indicators (spi): pillar 3 data products score in 2024.
The figure is down 9.0% on the previous year and up 3.4% over ten years.
Over the whole period, statistical performance indicators (spi): pillar 3 data products score in Djibouti peaked at 63.77 scale 0-100 in 2021 and was at its lowest, 40.75 scale 0-100, in 2018.
Djibouti ranks 179th of 215 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 20 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 49.82 scale 0-100 | 48.06 scale 0-100 | 50.77 scale 0-100 | 5 |
| 2010s | 48.15 scale 0-100 | 40.75 scale 0-100 | 54.46 scale 0-100 | 10 |
| 2020s | 57.14 scale 0-100 | 51.69 scale 0-100 | 63.77 scale 0-100 | 5 |
Countries ranked near Djibouti
- 176 Seychelles 56.67 scale 0-100 compare
- 177 Bahrain 56.33 scale 0-100 compare
- 178 Haiti 56.21 scale 0-100 compare
- 180 Sao Tome and Principe 55.59 scale 0-100 compare
- 181 Saint Vincent and the Grenadines 55.19 scale 0-100 compare
- 182 Micronesia (country) 54.85 scale 0-100 compare
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)
- 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)
- Statistical performance indicators (SPI): Pillar 4 data sources score 16.57 scale 0-100 (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 3 data products score in Djibouti?
- Statistical performance indicators (spi): pillar 3 data products score in Djibouti was 55.71 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 3 data products score recorded in Djibouti?
- The highest recorded value was 63.77 scale 0-100 in 2021.
- What is the lowest statistical performance indicators (spi): pillar 3 data products score recorded in Djibouti?
- The lowest recorded value was 40.75 scale 0-100 in 2018.
- How does Djibouti rank for statistical performance indicators (spi): pillar 3 data products score?
- Djibouti ranks 179th out of 215 countries with data for 2024.
- Is statistical performance indicators (spi): pillar 3 data products score rising or falling in Djibouti?
- Over the last ten years it is up 3.4%. The long-run trend across the full record is rising.
- 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 3 data products score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.