Brunei vs Congo: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Brunei
- Congo
How they compare
Brunei currently reports 61.56 scale 0-100 against 61.34 scale 0-100 in Congo, a difference of 0.22 scale 0-100.
The two have swapped places 1 time across 20 shared years of data; in 2005 it was Congo ahead.
Brunei ranks 160th and Congo ranks 161st of 215 countries.
Congo has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Brunei | Congo | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 35.57 scale 0-100 | 51.13 scale 0-100 | 15.56 scale 0-100 | Congo |
| 2010s | 37.54 scale 0-100 | 49.39 scale 0-100 | 11.84 scale 0-100 | Congo |
| 2020s | 56.57 scale 0-100 | 60 scale 0-100 | 3.43 scale 0-100 | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Brunei or Congo?
- Brunei, at 61.56 scale 0-100 against 61.34 scale 0-100 in Congo as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Brunei and Congo?
- 0.22 scale 0-100, with Brunei ahead.
- How many years of comparable data are there for Brunei and Congo?
- 20 years are reported by both, from 2005 to 2024.
- How do Brunei and Congo rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Brunei ranks 160th and Congo ranks 161st of 215 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 3 data products 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 products overall score is a composite score measuring whether the country is able to produce relevant indicators, primarily related to SDGs. The data products (internal process) pillar is segmented by four topics and organized into (i) social, (ii) economic, (iii) environmental, and (iv) institutional dimensions using the typology of the Sustainable Development Goals (SDGs). This approach anchors the national statistical system's performance around the essential data required to support the achievement of the 2030 global goals, and enables comparisons across countries so that a global view can be generated while enabling country specific emphasis to reflect the user needs of that country.