Korea, Democratic People's Republic of vs Saint Kitts and Nevis: Statistical performance indicators (SPI): Pillar 3 data products score

Korea, Democratic People's Republic of
46.56 scale 0-100
in 2024
Saint Kitts and Nevis
44.24 scale 0-100
in 2024
Korea, Democratic People's Republic of rank
191st
Saint Kitts and Nevis rank
192nd

Statistical performance indicators (SPI): Pillar 3 data products score over time

  • Korea, Democratic People's Republic of
  • Saint Kitts and Nevis
0204060200520142024

How they compare

Korea, Democratic People's Republic of currently reports 46.56 scale 0-100 against 44.24 scale 0-100 in Saint Kitts and Nevis, a difference of 2.32 scale 0-100.

That makes Korea, Democratic People's Republic of's figure about 1.1 times Saint Kitts and Nevis's.

The two have swapped places 1 time across 20 shared years of data; in 2005 it was Saint Kitts and Nevis ahead.

Korea, Democratic People's Republic of ranks 191st and Saint Kitts and Nevis ranks 192nd of 215 countries.

Across the 3 decades both report, Korea, Democratic People's Republic of averaged higher in 1 and Saint Kitts and Nevis in 2.

Head to head by decade

Decade Korea, Democratic People's Republic of Saint Kitts and Nevis Difference Ahead
2000s 40.36 scale 0-100 42.86 scale 0-100 2.5 scale 0-100 Saint Kitts and Nevis
2010s 38.11 scale 0-100 42.57 scale 0-100 4.46 scale 0-100 Saint Kitts and Nevis
2020s 48.69 scale 0-100 42 scale 0-100 6.69 scale 0-100 Korea, Democratic People's Republic of

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 3 data products score, Korea, Democratic People's Republic of or Saint Kitts and Nevis?
Korea, Democratic People's Republic of, at 46.56 scale 0-100 against 44.24 scale 0-100 in Saint Kitts and Nevis as of 2024.
What is the difference in statistical performance indicators (spi): pillar 3 data products score between Korea, Democratic People's Republic of and Saint Kitts and Nevis?
2.32 scale 0-100, with Korea, Democratic People's Republic of ahead.
How many years of comparable data are there for Korea, Democratic People's Republic of and Saint Kitts and Nevis?
20 years are reported by both, from 2005 to 2024.
How do Korea, Democratic People's Republic of and Saint Kitts and Nevis rank globally for statistical performance indicators (spi): pillar 3 data products score?
Korea, Democratic People's Republic of ranks 191st and Saint Kitts and Nevis ranks 192nd of 215 countries.
Where does this data come from?
Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Korea, Democratic People's Republic of vs Saint Kitts and Nevis: Statistical performance indicators (SPI): Pillar 3 data products score. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 04 September 2026, from https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-3-data-products-score-scale-0-100/korea-dem-people-s-rep/st-kitts-and-nevis/

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About this data

Indicator
Statistical performance indicators (SPI): Pillar 3 data products 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
219 places, 4,336 data points, 2005–2024
Last refreshed

The data products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.