Korea, Republic of vs Lower middle income: Statistical performance indicators (SPI): Pillar 5 data infrastructure

Korea, Republic of
95 scale 0-100
in 2024
Lower middle income
57.04 scale 0-100
in 2024
Korea, Republic of rank
6th
Lower middle income rank
3rd

Statistical performance indicators (SPI): Pillar 5 data infrastructure over time

  • Korea, Republic of
  • Lower middle income
406080100201620202024

How they compare

Korea, Republic of currently reports 95 scale 0-100 against 57.04 scale 0-100 in Lower middle income, a difference of 37.96 scale 0-100.

That makes Korea, Republic of's figure about 1.7 times Lower middle income's.

Across all 9 years both countries report, Korea, Republic of has been ahead every year.

Korea, Republic of ranks 6th and Lower middle income ranks 3rd of 191 countries.

Korea, Republic of has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Korea, Republic of Lower middle income Difference Ahead
2010s 80 scale 0-100 35.82 scale 0-100 44.18 scale 0-100 Korea, Republic of
2020s 89 scale 0-100 51.5 scale 0-100 37.5 scale 0-100 Korea, Republic of

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 5 data infrastructure, Korea, Republic of or Lower middle income?
Korea, Republic of, at 95 scale 0-100 against 57.04 scale 0-100 in Lower middle income as of 2024.
What is the difference in statistical performance indicators (spi): pillar 5 data infrastructure between Korea, Republic of and Lower middle income?
37.96 scale 0-100, with Korea, Republic of ahead.
How many years of comparable data are there for Korea, Republic of and Lower middle income?
9 years are reported by both, from 2016 to 2024.
How do Korea, Republic of and Lower middle income rank globally for statistical performance indicators (spi): pillar 5 data infrastructure?
Korea, Republic of ranks 6th and Lower middle income ranks 3rd of 191 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

Share, cite or embed this page

Cite this page

Korea, Republic of vs Lower middle income: Statistical performance indicators (SPI): Pillar 5 data infrastructure. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 18 August 2026, from https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-5-data-infrastructure-score-scale-0-100/korea-rep/lower-middle-income/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-5-data-infrastructure-score-scale-0-100/korea-rep/lower-middle-income/">Korea, Republic of vs Lower middle income: Statistical performance indicators (SPI): Pillar 5 data infrastructure</a> — Statizoid

About this data

Indicator
Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100)
Unit
scale 0-100
Source
Statistical Performance Indicators, World Bank (WB)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
195 places, 1,746 data points, 2016–2024
Last refreshed

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.