Benin vs Tanzania: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Benin
- Tanzania
How they compare
Benin currently reports 71.37 scale 0-100 against 71.23 scale 0-100 in Tanzania, a difference of 0.14 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Tanzania ahead.
Benin ranks 85th and Tanzania ranks 87th of 182 countries.
Tanzania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Benin | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 53.18 scale 0-100 | 55.85 scale 0-100 | 2.67 scale 0-100 | Tanzania |
| 2020s | 69.99 scale 0-100 | 71.05 scale 0-100 | 1.05 scale 0-100 | Tanzania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Benin or Tanzania?
- Benin, at 71.37 scale 0-100 against 71.23 scale 0-100 in Tanzania as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Benin and Tanzania?
- 0.14 scale 0-100, with Benin ahead.
- How many years of comparable data are there for Benin and Tanzania?
- 9 years are reported by both, from 2016 to 2024.
- How do Benin and Tanzania rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Benin ranks 85th and Tanzania ranks 87th 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.
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.