Lower middle income vs Poland: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Lower middle income
- Poland
How they compare
Poland currently reports 99 scale 0-100 against 66.31 scale 0-100 in Lower middle income, a difference of 32.69 scale 0-100.
That makes Poland's figure about 1.5 times Lower middle income's.
Across all 9 years both countries report, Poland has been ahead every year.
Lower middle income ranks 4th and Poland ranks 2nd of 5 groups.
Poland has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Lower middle income | Poland | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 52.9 scale 0-100 | 77.57 scale 0-100 | 24.67 scale 0-100 | Poland |
| 2020s | 64.51 scale 0-100 | 97.23 scale 0-100 | 32.71 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, Lower middle income or Poland?
- Poland, at 99 scale 0-100 against 66.31 scale 0-100 in Lower middle income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Lower middle income and Poland?
- 32.69 scale 0-100, with Poland ahead.
- How many years of comparable data are there for Lower middle income and Poland?
- 9 years are reported by both, from 2016 to 2024.
- How do Lower middle income and Poland rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Lower middle income ranks 4th and Poland ranks 2nd of 5 groups.
- 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.
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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.