Congo vs Djibouti: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Congo
- Djibouti
How they compare
Congo currently reports 29.17 scale 0-100 against 28.27 scale 0-100 in Djibouti, a difference of 0.9 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Congo ahead.
Congo ranks 174th and Djibouti ranks 176th of 182 countries.
Djibouti has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Congo | Djibouti | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 23.07 scale 0-100 | 38.83 scale 0-100 | 15.77 scale 0-100 | Djibouti |
| 2020s | 29.38 scale 0-100 | 46.65 scale 0-100 | 17.27 scale 0-100 | Djibouti |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Congo or Djibouti?
- Congo, at 29.17 scale 0-100 against 28.27 scale 0-100 in Djibouti as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Congo and Djibouti?
- 0.9 scale 0-100, with Congo ahead.
- How many years of comparable data are there for Congo and Djibouti?
- 9 years are reported by both, from 2016 to 2024.
- How do Congo and Djibouti rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Congo ranks 174th and Djibouti ranks 176th of 182 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 2 data services score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
The data services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.