Estonia vs Latvia: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Estonia
- Latvia
How they compare
Latvia currently reports 96.8 scale 0-100 against 96.3 scale 0-100 in Estonia, a difference of 0.5 scale 0-100.
The two have swapped places 2 times across 9 shared years of data; in 2016 it was Latvia ahead.
Estonia ranks 13th and Latvia ranks 11th of 182 countries.
Across the 2 decades both report, Estonia averaged higher in 1 and Latvia in 1.
Head to head by decade
| Decade | Estonia | Latvia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 76.56 scale 0-100 | 90.68 scale 0-100 | 14.13 scale 0-100 | Latvia |
| 2020s | 94.74 scale 0-100 | 93.33 scale 0-100 | 1.41 scale 0-100 | Estonia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Estonia or Latvia?
- Latvia, at 96.8 scale 0-100 against 96.3 scale 0-100 in Estonia as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Estonia and Latvia?
- 0.5 scale 0-100, with Latvia ahead.
- How many years of comparable data are there for Estonia and Latvia?
- 9 years are reported by both, from 2016 to 2024.
- How do Estonia and Latvia rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Estonia ranks 13th and Latvia ranks 11th of 182 countries.
- Where does this data come from?
- Statistical Performance Indicators, World Bank (WB), published as Statistical performance indicators (SPI): Pillar 2 data services 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 services pillar overall score is a composite indicator based on four dimensions of data services: (i) the quality of data releases, (ii) the richness and openness of online access, (iii) the effectiveness of advisory and analytical services related to statistics, and (iv) the availability and use of data access services such as secure microdata access. Advisory and analytical services might incorporate elements related to data stewardship services including input to national data strategies, advice on data ethics and calling out misuse of data in accordance with the Fundamental Principles of Official Statistics.