Latvia vs Ukraine: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Latvia
- Ukraine
How they compare
Latvia currently reports 81.81 scale 0-100 against 81.57 scale 0-100 in Ukraine, a difference of 0.24 scale 0-100.
The two have swapped places 1 time across 20 shared years of data; in 2005 it was Ukraine ahead.
Latvia ranks 46th and Ukraine ranks 48th of 215 countries.
Ukraine has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Latvia | Ukraine | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 40.95 scale 0-100 | 61.68 scale 0-100 | 20.73 scale 0-100 | Ukraine |
| 2010s | 51.82 scale 0-100 | 66.59 scale 0-100 | 14.77 scale 0-100 | Ukraine |
| 2020s | 76.01 scale 0-100 | 81.93 scale 0-100 | 5.92 scale 0-100 | Ukraine |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Latvia or Ukraine?
- Latvia, at 81.81 scale 0-100 against 81.57 scale 0-100 in Ukraine as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Latvia and Ukraine?
- 0.24 scale 0-100, with Latvia ahead.
- How many years of comparable data are there for Latvia and Ukraine?
- 20 years are reported by both, from 2005 to 2024.
- How do Latvia and Ukraine rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Latvia ranks 46th and Ukraine ranks 48th 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.