Belarus vs Nepal: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Belarus
- Nepal
How they compare
Nepal currently reports 79.11 scale 0-100 against 78.49 scale 0-100 in Belarus, a difference of 0.62 scale 0-100.
The two have swapped places 2 times across 20 shared years of data; in 2005 it was Nepal ahead.
Belarus ranks 76th and Nepal ranks 73rd of 215 countries.
Across the 3 decades both report, Belarus averaged higher in 1 and Nepal in 2.
Head to head by decade
| Decade | Belarus | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 56.11 scale 0-100 | 60.6 scale 0-100 | 4.49 scale 0-100 | Nepal |
| 2010s | 58.77 scale 0-100 | 68.35 scale 0-100 | 9.59 scale 0-100 | Nepal |
| 2020s | 81.06 scale 0-100 | 80.69 scale 0-100 | 0.3687 scale 0-100 | Belarus |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Belarus or Nepal?
- Nepal, at 79.11 scale 0-100 against 78.49 scale 0-100 in Belarus as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Belarus and Nepal?
- 0.62 scale 0-100, with Nepal ahead.
- How many years of comparable data are there for Belarus and Nepal?
- 20 years are reported by both, from 2005 to 2024.
- How do Belarus and Nepal rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Belarus ranks 76th and Nepal ranks 73rd 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.