American Samoa vs Sint Maarten: Statistical performance indicators (SPI): Pillar 3 data products score

American Samoa
15.87 scale 0-100
in 2024
Sint Maarten
19.17 scale 0-100
in 2024
American Samoa rank
213th
Sint Maarten rank
211th

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

  • American Samoa
  • Sint Maarten
510152025200520142024

How they compare

Sint Maarten currently reports 19.17 scale 0-100 against 15.87 scale 0-100 in American Samoa, a difference of 3.3 scale 0-100.

That makes Sint Maarten's figure about 1.2 times American Samoa's.

The two have swapped places 1 time across 20 shared years of data; in 2005 it was American Samoa ahead.

American Samoa ranks 213th and Sint Maarten ranks 211th of 215 countries.

American Samoa has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade American Samoa Sint Maarten Difference Ahead
2000s 18.24 scale 0-100 6.54 scale 0-100 11.7 scale 0-100 American Samoa
2010s 19.36 scale 0-100 9.43 scale 0-100 9.93 scale 0-100 American Samoa
2020s 19.34 scale 0-100 19 scale 0-100 0.3425 scale 0-100 American Samoa

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 3 data products score, American Samoa or Sint Maarten?
Sint Maarten, at 19.17 scale 0-100 against 15.87 scale 0-100 in American Samoa as of 2024.
What is the difference in statistical performance indicators (spi): pillar 3 data products score between American Samoa and Sint Maarten?
3.3 scale 0-100, with Sint Maarten ahead.
How many years of comparable data are there for American Samoa and Sint Maarten?
20 years are reported by both, from 2005 to 2024.
How do American Samoa and Sint Maarten rank globally for statistical performance indicators (spi): pillar 3 data products score?
American Samoa ranks 213th and Sint Maarten ranks 211th 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.

Individual pages

Share, cite or embed this page

Cite this page

American Samoa vs Sint Maarten: Statistical performance indicators (SPI): Pillar 3 data products score. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 24 August 2026, from https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-3-data-products-score-scale-0-100/american-samoa/sint-maarten-dutch-part/

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-3-data-products-score-scale-0-100/american-samoa/sint-maarten-dutch-part/">American Samoa vs Sint Maarten: Statistical performance indicators (SPI): Pillar 3 data products score</a> — Statizoid

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.