Bahrain vs Brunei: Statistical performance: Pillar 5 data infrastructure score
Statistical performance: Pillar 5 data infrastructure score over time
- Bahrain
- Brunei
How they compare
Bahrain currently reports 40 scale 0-100 against 40 scale 0-100 in Brunei, a difference of 0 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Bahrain ahead.
Bahrain ranks 162nd and Brunei ranks 162nd of 192 countries.
Brunei has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Bahrain | Brunei | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 33.75 scale 0-100 | 37.5 scale 0-100 | 3.75 scale 0-100 | Brunei |
| 2020s | 34 scale 0-100 | 47 scale 0-100 | 13 scale 0-100 | Brunei |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 5 data, Bahrain or Brunei?
- Bahrain, at 40 scale 0-100 against 40 scale 0-100 in Brunei as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 5 data between Bahrain and Brunei?
- 0 scale 0-100, with Bahrain ahead.
- How many years of comparable data are there for Bahrain and Brunei?
- 9 years are reported by both, from 2016 to 2024.
- How do Bahrain and Brunei rank globally for statistical performance indicators (spi): pillar 5 data?
- Bahrain ranks 162nd and Brunei ranks 162nd of 192 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 5 data infrastructure score (scale 0-100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The data infrastructure pillar overall score measures the hard and soft infrastructure segments, itemizing essential cross cutting requirements for an effective statistical system. The segments are: (i) legislation and governance covering the existence of laws and a functioning institutional framework for the statistical system; (ii) standards and methods addressing compliance with recognized frameworks and concepts; (iii) skills including level of skills within the statistical system and among users (statistical literacy); (iv) partnerships reflecting the need for the statistical system to be inclusive and coherent; and (v) finance mobilized both domestically and from donors.