Ireland vs Mongolia: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Ireland
- Mongolia
How they compare
Ireland currently reports 97.13 scale 0-100 against 96.33 scale 0-100 in Mongolia, a difference of 0.8 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Ireland ahead.
Ireland ranks 10th and Mongolia ranks 12th of 182 countries.
Across the 2 decades both report, Ireland averaged higher in 1 and Mongolia in 1.
Head to head by decade
| Decade | Ireland | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 92.48 scale 0-100 | 72.04 scale 0-100 | 20.44 scale 0-100 | Ireland |
| 2020s | 96.67 scale 0-100 | 96.89 scale 0-100 | 0.2267 scale 0-100 | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Ireland or Mongolia?
- Ireland, at 97.13 scale 0-100 against 96.33 scale 0-100 in Mongolia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Ireland and Mongolia?
- 0.8 scale 0-100, with Ireland ahead.
- How many years of comparable data are there for Ireland and Mongolia?
- 9 years are reported by both, from 2016 to 2024.
- How do Ireland and Mongolia rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Ireland ranks 10th and Mongolia ranks 12th 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.