Congo vs Guinea-Bissau: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Congo
- Guinea-Bissau
How they compare
Guinea-Bissau currently reports 29.5 scale 0-100 against 29.17 scale 0-100 in Congo, a difference of 0.33 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Guinea-Bissau ahead.
Congo ranks 174th and Guinea-Bissau ranks 173rd of 182 countries.
Across the 2 decades both report, Congo averaged higher in 1 and Guinea-Bissau in 1.
Head to head by decade
| Decade | Congo | Guinea-Bissau | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 23.07 scale 0-100 | 48.6 scale 0-100 | 25.53 scale 0-100 | Guinea-Bissau |
| 2020s | 29.38 scale 0-100 | 24.83 scale 0-100 | 4.55 scale 0-100 | Congo |
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 Guinea-Bissau?
- Guinea-Bissau, at 29.5 scale 0-100 against 29.17 scale 0-100 in Congo as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Congo and Guinea-Bissau?
- 0.33 scale 0-100, with Guinea-Bissau ahead.
- How many years of comparable data are there for Congo and Guinea-Bissau?
- 9 years are reported by both, from 2016 to 2024.
- How do Congo and Guinea-Bissau rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Congo ranks 174th and Guinea-Bissau ranks 173rd 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.