Japan vs Lithuania: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Japan
- Lithuania
How they compare
Lithuania currently reports 92 scale 0-100 against 91.83 scale 0-100 in Japan, a difference of 0.17 scale 0-100.
Across all 9 years both countries report, Lithuania has been ahead every year.
Japan ranks 41st and Lithuania ranks 39th of 182 countries.
Lithuania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Japan | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 71.5 scale 0-100 | 74.51 scale 0-100 | 3.01 scale 0-100 | Lithuania |
| 2020s | 90.42 scale 0-100 | 91.8 scale 0-100 | 1.38 scale 0-100 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Japan or Lithuania?
- Lithuania, at 92 scale 0-100 against 91.83 scale 0-100 in Japan as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Japan and Lithuania?
- 0.17 scale 0-100, with Lithuania ahead.
- How many years of comparable data are there for Japan and Lithuania?
- 9 years are reported by both, from 2016 to 2024.
- How do Japan and Lithuania rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Japan ranks 41st and Lithuania ranks 39th 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.