Brunei Darussalam vs Mauritania, Islamic Republic of: Statistical performance indicators (SPI): Pillar 1 data use score

Brunei Darussalam
80 scale 0-100
in 2024
Mauritania, Islamic Republic of
80 scale 0-100
in 2024
Brunei Darussalam rank
89th
Mauritania, Islamic Republic of rank
89th

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

  • Brunei Darussalam
  • Mauritania, Islamic Republic of
20406080100200420142024

How they compare

Brunei Darussalam currently reports 80 scale 0-100 against 80 scale 0-100 in Mauritania, Islamic Republic of, a difference of 0 scale 0-100.

Across all 21 years both countries report, Mauritania, Islamic Republic of has been ahead every year.

Brunei Darussalam ranks 89th and Mauritania, Islamic Republic of ranks 89th of 217 countries.

Mauritania, Islamic Republic of has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Brunei Darussalam Mauritania, Islamic Republic of Difference Ahead
2000s 20 scale 0-100 36.67 scale 0-100 16.67 scale 0-100 Mauritania, Islamic Republic of
2010s 53 scale 0-100 65 scale 0-100 12 scale 0-100 Mauritania, Islamic Republic of
2020s 80 scale 0-100 86 scale 0-100 6 scale 0-100 Mauritania, Islamic Republic of

Averages of every year both report within each decade.

Frequently asked questions

Which has higher statistical performance indicators (spi): pillar 1 data use score, Brunei Darussalam or Mauritania, Islamic Republic of?
Brunei Darussalam, at 80 scale 0-100 against 80 scale 0-100 in Mauritania, Islamic Republic of as of 2024.
What is the difference in statistical performance indicators (spi): pillar 1 data use score between Brunei Darussalam and Mauritania, Islamic Republic of?
0 scale 0-100, with Brunei Darussalam ahead.
How many years of comparable data are there for Brunei Darussalam and Mauritania, Islamic Republic of?
21 years are reported by both, from 2004 to 2024.
How do Brunei Darussalam and Mauritania, Islamic Republic of rank globally for statistical performance indicators (spi): pillar 1 data use score?
Brunei Darussalam ranks 89th and Mauritania, Islamic Republic of ranks 89th 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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Brunei Darussalam vs Mauritania, Islamic 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/brunei-darussalam/mauritania/

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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.