Gambia vs Malaysia: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Gambia
- Malaysia
How they compare
Gambia currently reports 80.19 scale 0-100 against 80.13 scale 0-100 in Malaysia, a difference of 0.06 scale 0-100.
The two have swapped places 3 times across 20 shared years of data; in 2005 it was Malaysia ahead.
Gambia ranks 61st and Malaysia ranks 62nd of 215 countries.
Across the 3 decades both report, Gambia averaged higher in 1 and Malaysia in 2.
Head to head by decade
| Decade | Gambia | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 50.42 scale 0-100 | 66.18 scale 0-100 | 15.76 scale 0-100 | Malaysia |
| 2010s | 60.7 scale 0-100 | 69.47 scale 0-100 | 8.77 scale 0-100 | Malaysia |
| 2020s | 83.33 scale 0-100 | 82.63 scale 0-100 | 0.7013 scale 0-100 | Gambia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Gambia or Malaysia?
- Gambia, at 80.19 scale 0-100 against 80.13 scale 0-100 in Malaysia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Gambia and Malaysia?
- 0.06 scale 0-100, with Gambia ahead.
- How many years of comparable data are there for Gambia and Malaysia?
- 20 years are reported by both, from 2005 to 2024.
- How do Gambia and Malaysia rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Gambia ranks 61st and Malaysia ranks 62nd 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.
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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.