Congo vs Dominica: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Congo
- Dominica
How they compare
Dominica currently reports 29.93 scale 0-100 against 29.17 scale 0-100 in Congo, a difference of 0.76 scale 0-100.
The two have swapped places 2 times across 5 shared years of data; in 2020 it was Dominica ahead.
Congo ranks 174th and Dominica ranks 171st of 182 countries.
Dominica has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Congo or Dominica?
- Dominica, at 29.93 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 Dominica?
- 0.76 scale 0-100, with Dominica ahead.
- How many years of comparable data are there for Congo and Dominica?
- 5 years are reported by both, from 2020 to 2024.
- How do Congo and Dominica rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Congo ranks 174th and Dominica ranks 171st 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.