South Korea vs Low income: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- South Korea
- Low income
How they compare
South Korea currently reports 95 scale 0-100 against 51.48 scale 0-100 in Low income, a difference of 43.52 scale 0-100.
That makes South Korea's figure about 1.8 times Low income's.
Across all 9 years both countries report, South Korea has been ahead every year.
South Korea ranks 6th and Low income ranks 4th of 192 countries.
South Korea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | South Korea | Low income | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 80 scale 0-100 | 26.15 scale 0-100 | 53.85 scale 0-100 | South Korea |
| 2020s | 89 scale 0-100 | 42.67 scale 0-100 | 46.33 scale 0-100 | South Korea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, South Korea or Low income?
- South Korea, at 95 scale 0-100 against 51.48 scale 0-100 in Low income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between South Korea and Low income?
- 43.52 scale 0-100, with South Korea ahead.
- How many years of comparable data are there for South Korea and Low income?
- 9 years are reported by both, from 2016 to 2024.
- How do South Korea and Low income rank globally for statistical performance indicators (spi): pillar 5 data?
- South Korea ranks 6th and Low income ranks 4th of 192 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure 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 infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.