Suriname vs Yemen, Republic of: Statistical performance indicators (SPI): Pillar 1 data use score

Suriname
46.6 scale 0-100
in 2024
Yemen, Republic of
46.6 scale 0-100
in 2024
Suriname rank
183rd
Yemen, Republic of rank
183rd

Statistical performance indicators (SPI): Pillar 1 data use score over time

  • Suriname
  • Yemen, Republic of
20406080100200420142024

How they compare

Suriname currently reports 46.6 scale 0-100 against 46.6 scale 0-100 in Yemen, Republic of, a difference of 0 scale 0-100.

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

Suriname ranks 183rd and Yemen, Republic of ranks 183rd of 217 countries.

Across the 3 decades both report, Suriname averaged higher in 1 and Yemen, Republic of in 1.

Head to head by decade

Decade Suriname Yemen, Republic of Difference Ahead
2000s 20 scale 0-100 20 scale 0-100 0 scale 0-100
2010s 38 scale 0-100 58.66 scale 0-100 20.66 scale 0-100 Yemen, Republic of
2020s 48.64 scale 0-100 34.6 scale 0-100 14.04 scale 0-100 Suriname

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 1 data use score, Suriname or Yemen, Republic of?
Suriname, at 46.6 scale 0-100 against 46.6 scale 0-100 in Yemen, Republic of as of 2024.
What is the difference in statistical performance indicators (spi): pillar 1 data use score between Suriname and Yemen, Republic of?
0 scale 0-100, with Suriname ahead.
How many years of comparable data are there for Suriname and Yemen, Republic of?
21 years are reported by both, from 2004 to 2024.
How do Suriname and Yemen, Republic of rank globally for statistical performance indicators (spi): pillar 1 data use score?
Suriname ranks 183rd and Yemen, Republic of ranks 183rd of 217 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.

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Suriname vs Yemen, Republic of: Statistical performance indicators (SPI): Pillar 1 data use score. 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-1-data-use-score-scale-0-100/suriname/yemen-rep/

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<a href="https://public-sector.statizoid.com/compare/statistical-performance-indicators-spi-pillar-1-data-use-score-scale-0-100/suriname/yemen-rep/">Suriname vs Yemen, Republic of: 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
221 places, 4,593 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.