Somalia vs East Timor: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Somalia
- East Timor
How they compare
Somalia currently reports 63.09 scale 0-100 against 63.02 scale 0-100 in East Timor, a difference of 0.07 scale 0-100.
The two have swapped places 1 time across 20 shared years of data; in 2005 it was East Timor ahead.
Somalia ranks 150th and East Timor ranks 151st of 215 countries.
Across the 3 decades both report, Somalia averaged higher in 1 and East Timor in 2.
Head to head by decade
| Decade | Somalia | East Timor | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 35.45 scale 0-100 | 48.84 scale 0-100 | 13.4 scale 0-100 | East Timor |
| 2010s | 35.4 scale 0-100 | 58.22 scale 0-100 | 22.82 scale 0-100 | East Timor |
| 2020s | 64.92 scale 0-100 | 62.82 scale 0-100 | 2.11 scale 0-100 | Somalia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Somalia or East Timor?
- Somalia, at 63.09 scale 0-100 against 63.02 scale 0-100 in East Timor as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Somalia and East Timor?
- 0.07 scale 0-100, with Somalia ahead.
- How many years of comparable data are there for Somalia and East Timor?
- 20 years are reported by both, from 2005 to 2024.
- How do Somalia and East Timor rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Somalia ranks 150th and East Timor ranks 151st 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.