South Korea vs Moldova: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- South Korea
- Moldova
How they compare
South Korea currently reports 96.1 scale 0-100 against 96 scale 0-100 in Moldova, a difference of 0.1 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Moldova ahead.
South Korea ranks 14th and Moldova ranks 16th of 182 countries.
Moldova has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | South Korea | Moldova | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 74.88 scale 0-100 | 75.87 scale 0-100 | 0.9916 scale 0-100 | Moldova |
| 2020s | 93.71 scale 0-100 | 95.49 scale 0-100 | 1.78 scale 0-100 | Moldova |
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 Moldova?
- South Korea, at 96.1 scale 0-100 against 96 scale 0-100 in Moldova as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between South Korea and Moldova?
- 0.1 scale 0-100, with South Korea ahead.
- How many years of comparable data are there for South Korea and Moldova?
- 9 years are reported by both, from 2016 to 2024.
- How do South Korea and Moldova rank globally for statistical performance indicators (spi): pillar 2 data services score?
- South Korea ranks 14th and Moldova ranks 16th 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.