High income vs Lithuania: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- High income
- Lithuania
How they compare
Lithuania currently reports 89.31 scale 0-100 against 62.82 scale 0-100 in High income, a difference of 26.49 scale 0-100.
That makes Lithuania's figure about 1.4 times High income's.
Across all 9 years both countries report, Lithuania has been ahead every year.
High income ranks 4th and Lithuania ranks 7th of 4 groups.
Lithuania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | High income | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 47.54 scale 0-100 | 61 scale 0-100 | 13.46 scale 0-100 | Lithuania |
| 2020s | 60.19 scale 0-100 | 83.25 scale 0-100 | 23.06 scale 0-100 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, High income or Lithuania?
- Lithuania, at 89.31 scale 0-100 against 62.82 scale 0-100 in High income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between High income and Lithuania?
- 26.49 scale 0-100, with Lithuania ahead.
- How many years of comparable data are there for High income and Lithuania?
- 9 years are reported by both, from 2016 to 2024.
- How do High income and Lithuania rank globally for statistical performance indicators (spi): pillar 3 data products score?
- High income ranks 4th and Lithuania ranks 7th of 4 groups.
- 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.