South Korea vs Mongolia: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- South Korea
- Mongolia
How they compare
Mongolia currently reports 96.33 scale 0-100 against 96.1 scale 0-100 in South Korea, a difference of 0.23 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Mongolia ahead.
South Korea ranks 14th and Mongolia ranks 12th of 182 countries.
Across the 2 decades both report, South Korea averaged higher in 1 and Mongolia in 1.
Head to head by decade
| Decade | South Korea | Mongolia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 74.88 scale 0-100 | 72.04 scale 0-100 | 2.83 scale 0-100 | South Korea |
| 2020s | 93.71 scale 0-100 | 96.89 scale 0-100 | 3.18 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, South Korea or Mongolia?
- Mongolia, at 96.33 scale 0-100 against 96.1 scale 0-100 in South Korea as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between South Korea and Mongolia?
- 0.23 scale 0-100, with Mongolia ahead.
- How many years of comparable data are there for South Korea and Mongolia?
- 9 years are reported by both, from 2016 to 2024.
- How do South Korea and Mongolia rank globally for statistical performance indicators (spi): pillar 2 data services score?
- South Korea ranks 14th 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.