Poland vs Upper middle income: Statistical performance: Pillar 2 data services score (scale)
Statistical performance: Pillar 2 data services score (scale) over time
- Poland
- Upper middle income
How they compare
Poland currently reports 99 scale 0-100 against 70.61 scale 0-100 in Upper middle income, a difference of 28.39 scale 0-100.
That makes Poland's figure about 1.4 times Upper middle income's.
Across all 9 years both countries report, Poland has been ahead every year.
Poland ranks 2nd and Upper middle income ranks 2nd of 184 countries.
Poland has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Poland | Upper middle income | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 77.57 scale 0-100 | 58.86 scale 0-100 | 18.71 scale 0-100 | Poland |
| 2020s | 97.23 scale 0-100 | 69.71 scale 0-100 | 27.52 scale 0-100 | Poland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Poland or Upper middle income?
- Poland, at 99 scale 0-100 against 70.61 scale 0-100 in Upper middle income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Poland and Upper middle income?
- 28.39 scale 0-100, with Poland ahead.
- How many years of comparable data are there for Poland and Upper middle income?
- 9 years are reported by both, from 2016 to 2024.
- How do Poland and Upper middle income rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Poland ranks 2nd and Upper middle income ranks 2nd of 184 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.