Cayman Islands vs Marshall Islands: Statistical performance: Pillar 1 data use score (scale 0-100)

Cayman Islands
30 scale 0-100
in 2024
Marshall Islands
30 scale 0-100
in 2024
Cayman Islands rank
208th
Marshall Islands rank
208th

Statistical performance: Pillar 1 data use score (scale 0-100) over time

  • Cayman Islands
  • Marshall Islands
01020304050200420142024

How they compare

Cayman Islands currently reports 30 scale 0-100 against 30 scale 0-100 in Marshall Islands, a difference of 0 scale 0-100.

The two have swapped places 2 times across 21 shared years of data; in 2004 it was Marshall Islands ahead.

Cayman Islands ranks 208th and Marshall Islands ranks 208th of 218 countries.

Across the 3 decades both report, Cayman Islands averaged higher in 2 and Marshall Islands in 1.

Head to head by decade

Decade Cayman Islands Marshall Islands Difference Ahead
2000s 0 scale 0-100 13.33 scale 0-100 13.33 scale 0-100 Marshall Islands
2010s 33 scale 0-100 21 scale 0-100 12 scale 0-100 Cayman Islands
2020s 34 scale 0-100 30 scale 0-100 4 scale 0-100 Cayman Islands

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 1 data use score, Cayman Islands or Marshall Islands?
Cayman Islands, at 30 scale 0-100 against 30 scale 0-100 in Marshall Islands as of 2024.
What is the difference in statistical performance indicators (spi): pillar 1 data use score between Cayman Islands and Marshall Islands?
0 scale 0-100, with Cayman Islands ahead.
How many years of comparable data are there for Cayman Islands and Marshall Islands?
21 years are reported by both, from 2004 to 2024.
How do Cayman Islands and Marshall Islands rank globally for statistical performance indicators (spi): pillar 1 data use score?
Cayman Islands ranks 208th and Marshall Islands ranks 208th of 218 countries.
Where does this data come from?
Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 1 data use 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

Cayman Islands vs Marshall Islands: Statistical performance indicators (SPI): Pillar 1 data use score. Statizoid, drawing on Statistical Performance Indicators, World Bank (WB). Retrieved 12 October 2026, from https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-1-data-use-score-scale-0-100/cayman-islands/marshall-islands/

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-1-data-use-score-scale-0-100/cayman-islands/marshall-islands/">Cayman Islands vs Marshall Islands: Statistical performance indicators (SPI): Pillar 1 data use score</a> — Statizoid

About this data

Indicator
Statistical performance indicators (SPI): Pillar 1 data use 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
223 places, 4,635 data points, 2004–2024
Last refreshed

The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.