Côte d'Ivoire vs Jamaica: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Côte d'Ivoire
- Jamaica
How they compare
Côte d'Ivoire currently reports 76.3 scale 0-100 against 73.6 scale 0-100 in Jamaica, a difference of 2.7 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Côte d'Ivoire ahead.
Côte d'Ivoire ranks 77th and Jamaica ranks 80th of 183 countries.
Across the 2 decades both report, Côte d'Ivoire averaged higher in 1 and Jamaica in 1.
Head to head by decade
| Decade | Côte d'Ivoire | Jamaica | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 55.12 scale 0-100 | 47.28 scale 0-100 | 7.84 scale 0-100 | Côte d'Ivoire |
| 2020s | 64.17 scale 0-100 | 73.83 scale 0-100 | 9.66 scale 0-100 | Jamaica |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Côte d'Ivoire or Jamaica?
- Côte d'Ivoire, at 76.3 scale 0-100 against 73.6 scale 0-100 in Jamaica as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Côte d'Ivoire and Jamaica?
- 2.7 scale 0-100, with Côte d'Ivoire ahead.
- How many years of comparable data are there for Côte d'Ivoire and Jamaica?
- 9 years are reported by both, from 2016 to 2024.
- How do Côte d'Ivoire and Jamaica rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Côte d'Ivoire ranks 77th and Jamaica ranks 80th of 183 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.