Brunei Darussalam's statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) was 80 in 2024, the latest year in the World Bank's World Development Indicators. That is up 100% from 40 in 2014 (7.18% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | 80 | 2024 |
| Five years earlier | 80 | 2019 |
| Ten years earlier | 40 | 2014 |
| Highest | 80 | 2016 |
| Lowest | 20 | 2004 |
| Average since 2015 | 78 | 2015–2024 |
| First recorded | 20 | 2004 |
What the numbers say
In 2024, Brunei Darussalam's statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) did not change 0 on 2023 (from 80 to 80).
Across the 19 yearly changes before that (2005 to 2023), the average change was +3.16 and a typical year strayed about 6.71 from that (the standard deviation). This year's change was 0.5 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
On record, the biggest yearly rise was 20 in 2015. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2015 to 2024 there is no clear straight-line trend: a straight line explains 27% of the movement over 10 observed years, so the value is moving around more than it is heading anywhere.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
How it compares
In 2024, Brunei Darussalam had the 89th highest value of the 217 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.
Closest to Brunei Darussalam in the 2024 ranking
What this measures
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.
Limitations: Currently, the dashboard 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.
Regional and income-group figures are computed by the World Bank as a weighted average.
All 21 values
| Year | Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) |
|---|---|
| 2024 | 80 |
| 2023 | 80 |
| 2022 | 80 |
| 2021 | 80 |
| 2020 | 80 |
| 2019 | 80 |
| 2018 | 80 |
| 2017 | 80 |
| 2016 | 80 |
| 2015 | 60 |
| 2014 |
Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) in nearby economies
- American Samoa — 40 (2024)
- Australia — 80 (2024)
- Cambodia — 60 (2024)
- China — 73.4 (2024)
- Fiji — 80 (2024)
- French Polynesia — 40 (2024)
- Guam — 40 (2024)
- Hong Kong SAR, China — 40 (2024)
More public sector data for Brunei Darussalam
- Military expenditure (current USD) — 560.27 million (2024)
- Military expenditure (current LCU) — 748.54 million (2024)
- Military expenditure (% of GDP) — 3.65% (2024)
- Arms imports (SIPRI trend indicator values) — 28 million (2024)
- Military expenditure (% of general government expenditure) — 12.15% (2024)
- Armed forces personnel, total — 8,000 (2020)
- Armed forces personnel (% of total labor force) — 3.57% (2020)
- Statistical performance indicators (SPI): Pillar 3 data products score (scale 0-100) — 61.56 (2024)
Every indicator for Brunei Darussalam is on the Brunei Darussalam data page.
Reading data like this
Questions people ask
- What is Brunei Darussalam's statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100)?
- 80 in 2024, according to the World Bank (World Development Indicators).
- How has it changed since 2004?
- It is up 300% from 20 in 2004 (7.18% a year on average, compounded). The highest value was 80 in 2016 and the lowest 20 in 2004.
- How does Brunei Darussalam rank?
- 89th highest of 217 economies with data for 2024.
- Is the latest change in statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) unusual for Brunei Darussalam?
- In 2024, Brunei Darussalam's statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) did not change 0 on 2023 (from 80 to 80). Across the 19 yearly changes before that (2005 to 2023), the average change was +3.16 and a typical year strayed about 6.71 from that (the standard deviation). This year's change was 0.5 standard deviations below that average, so it was an ordinary year: it sits within the range of normal year-to-year movement.
Source
World Bank, World Development Indicators, indicator IQ.SPI.PIL1, licensed CC BY 4.0. Original source: Statistical Performance Indicators, World Bank (WB), uri: https://datacatalog.worldbank.org/dataset/statistical-performance-indicators Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.
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