British Virgin Islands vs Gabon: Statistical performance indicators (SPI): Pillar 1 data use score

British Virgin Islands
60 scale 0-100
in 2024
Gabon
60 scale 0-100
in 2024
British Virgin Islands rank
147th
Gabon rank
147th

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

  • British Virgin Islands
  • Gabon
0204060200420142024

How they compare

British Virgin Islands currently reports 60 scale 0-100 against 60 scale 0-100 in Gabon, a difference of 0 scale 0-100.

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

British Virgin Islands ranks 147th and Gabon ranks 147th of 217 countries.

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

Head to head by decade

Decade British Virgin Islands Gabon Difference Ahead
2000s 10 scale 0-100 13.33 scale 0-100 3.33 scale 0-100 Gabon
2010s 28 scale 0-100 46.66 scale 0-100 18.66 scale 0-100 Gabon
2020s 52 scale 0-100 60 scale 0-100 8 scale 0-100 Gabon

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 1 data use score, British Virgin Islands or Gabon?
British Virgin Islands, at 60 scale 0-100 against 60 scale 0-100 in Gabon as of 2024.
What is the difference in statistical performance indicators (spi): pillar 1 data use score between British Virgin Islands and Gabon?
0 scale 0-100, with British Virgin Islands ahead.
How many years of comparable data are there for British Virgin Islands and Gabon?
21 years are reported by both, from 2004 to 2024.
How do British Virgin Islands and Gabon rank globally for statistical performance indicators (spi): pillar 1 data use score?
British Virgin Islands ranks 147th and Gabon ranks 147th 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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British Virgin Islands vs Gabon: 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/british-virgin-islands/gabon/

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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/british-virgin-islands/gabon/">British Virgin Islands vs Gabon: 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.