Cameroon vs Cote d'Ivoire: Statistical performance: Pillar 2 data services score (scale)
Statistical performance: Pillar 2 data services score (scale) over time
- Cameroon
- Cote d'Ivoire
How they compare
Cote d'Ivoire currently reports 76.3 scale 0-100 against 75 scale 0-100 in Cameroon, a difference of 1.3 scale 0-100.
The two have swapped places 3 times across 9 shared years of data; in 2016 it was Cameroon ahead.
Cameroon ranks 78th and Cote d'Ivoire ranks 77th of 184 countries.
Cameroon has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Cameroon | Cote d'Ivoire | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 58.07 scale 0-100 | 55.12 scale 0-100 | 2.94 scale 0-100 | Cameroon |
| 2020s | 66.64 scale 0-100 | 64.17 scale 0-100 | 2.47 scale 0-100 | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Cameroon or Cote d'Ivoire?
- Cote d'Ivoire, at 76.3 scale 0-100 against 75 scale 0-100 in Cameroon as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Cameroon and Cote d'Ivoire?
- 1.3 scale 0-100, with Cote d'Ivoire ahead.
- How many years of comparable data are there for Cameroon and Cote d'Ivoire?
- 9 years are reported by both, from 2016 to 2024.
- How do Cameroon and Cote d'Ivoire rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Cameroon ranks 78th and Cote d'Ivoire ranks 77th of 184 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.
Individual pages
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.