Antigua and Barbuda vs Democratic Republic of Congo: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Antigua and Barbuda
- Democratic Republic of Congo
How they compare
Antigua and Barbuda currently reports 62.9 scale 0-100 against 62.8 scale 0-100 in Democratic Republic of Congo, a difference of 0.1 scale 0-100.
The two have swapped places 1 time across 5 shared years of data; in 2020 it was Democratic Republic of Congo ahead.
Antigua and Barbuda ranks 134th and Democratic Republic of Congo ranks 136th of 182 countries.
Democratic Republic of Congo 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, Antigua and Barbuda or Democratic Republic of Congo?
- Antigua and Barbuda, at 62.9 scale 0-100 against 62.8 scale 0-100 in Democratic Republic of Congo as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Antigua and Barbuda and Democratic Republic of Congo?
- 0.1 scale 0-100, with Antigua and Barbuda ahead.
- How many years of comparable data are there for Antigua and Barbuda and Democratic Republic of Congo?
- 5 years are reported by both, from 2020 to 2024.
- How do Antigua and Barbuda and Democratic Republic of Congo rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Antigua and Barbuda ranks 134th and Democratic Republic of Congo ranks 136th 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.