Statistical performance indicators (SPI): Pillar 4 data sources score in Brunei
Brunei: Statistical performance indicators (SPI): Pillar 4 data sources score was 53.39 scale 0-100 in 2024. ▲ Rising
Statistical performance indicators (SPI): Pillar 4 data sources score in Brunei, 2020–2024
Source: Statistical Performance Indicators, World Bank (WB). Measured in scale 0-100.
Analysis
Brunei recorded 53.39 scale 0-100 for statistical performance indicators (spi): pillar 4 data sources score in 2024. That is the highest value across all 5 years on record.
The figure is up 3.6% on the previous year and up 23.4% over five years.
Brunei ranks 108th of 183 countries on this measure, in the middle of the range.
Statistical performance indicators (SPI): Pillar 4 data sources score in Brunei, year by year
| Year | scale 0-100 | Change |
|---|---|---|
| 2020 | 43.26 scale 0-100 | — |
| 2021 | 51.54 scale 0-100 | +19.1% |
| 2022 | 51.54 scale 0-100 | +0.0% |
| 2023 | 51.54 scale 0-100 | +0.0% |
| 2024 | 53.39 scale 0-100 | +3.6% |
Brunei compared with similar countries
- Brunei's 53.39 scale 0-100 is below the median for high income countries, which is 80.21 scale 0-100, 67% of the median. (58 countries reporting)
- Brunei's 53.39 scale 0-100 is above the median for East Asia & Pacific, which is 53.39 scale 0-100, 1.0× the median. (27 countries reporting)
Countries ranked near Brunei
- 105 Saint Lucia 54.38 scale 0-100 compare
- 106 Lesotho 53.7 scale 0-100 compare
- 107 Bosnia and Herzegovina 53.42 scale 0-100 compare
- 109 Antigua and Barbuda 53.22 scale 0-100 compare
- 110 Tanzania 52.95 scale 0-100 compare
- 111 Myanmar 52.01 scale 0-100 compare
More public sector data for Brunei
- Democracy 0 (2025)
- Chief executive of the government is elected 0 (2025)
- Elected parliament 0 (2025)
- Men's universal right to vote 0 (2025)
- Competitive elections 0 (2025)
- Universal right to vote 0 (2025)
- Universal right to vote in practice 0 (2025)
- Arms imports 28.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 60.51 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0018 SIPRI trend indicator values per US$ of GDP (2024)
Frequently asked questions
- What is statistical performance indicators (spi): pillar 4 data sources score in Brunei?
- Statistical performance indicators (spi): pillar 4 data sources score in Brunei was 53.39 scale 0-100 in 2024, according to Statistical Performance Indicators, World Bank (WB).
- What is the highest statistical performance indicators (spi): pillar 4 data sources score recorded in Brunei?
- The highest recorded value was 53.39 scale 0-100 in 2024.
- What is the lowest statistical performance indicators (spi): pillar 4 data sources score recorded in Brunei?
- The lowest recorded value was 43.26 scale 0-100 in 2020.
- How does Brunei rank for statistical performance indicators (spi): pillar 4 data sources score?
- Brunei ranks 108th out of 183 countries with data for 2024.
- Where does this Brunei data come from?
- The figures come from Statistical Performance Indicators, World Bank (WB), published as part of Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100). Statizoid updates them automatically from the source API.
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About this data
The data sources overall score is a composite measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country's institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.