Finland vs Low income: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Finland
- Low income
How they compare
Finland currently reports 98.2 scale 0-100 against 57.27 scale 0-100 in Low income, a difference of 40.93 scale 0-100.
That makes Finland's figure about 1.7 times Low income's.
Across all 9 years both countries report, Finland has been ahead every year.
Finland ranks 6th and Low income ranks 4th of 183 countries.
Finland has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Finland | Low income | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 94.55 scale 0-100 | 45.48 scale 0-100 | 49.07 scale 0-100 | Finland |
| 2020s | 96.49 scale 0-100 | 55.78 scale 0-100 | 40.71 scale 0-100 | Finland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Finland or Low income?
- Finland, at 98.2 scale 0-100 against 57.27 scale 0-100 in Low income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Finland and Low income?
- 40.93 scale 0-100, with Finland ahead.
- How many years of comparable data are there for Finland and Low income?
- 9 years are reported by both, from 2016 to 2024.
- How do Finland and Low income rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Finland ranks 6th and Low income ranks 4th of 183 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.