Hungary vs Low income: Statistical performance indicators (SPI): Pillar 3 data products score
Statistical performance indicators (SPI): Pillar 3 data products score over time
- Hungary
- Low income
How they compare
Hungary currently reports 89.7 scale 0-100 against 67.13 scale 0-100 in Low income, a difference of 22.57 scale 0-100.
That makes Hungary's figure about 1.3 times Low income's.
Across all 9 years both countries report, Hungary has been ahead every year.
Hungary ranks 5th and Low income ranks 3rd of 215 countries.
Hungary has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Hungary | Low income | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 67.18 scale 0-100 | 58.23 scale 0-100 | 8.95 scale 0-100 | Hungary |
| 2020s | 84.3 scale 0-100 | 69.17 scale 0-100 | 15.13 scale 0-100 | Hungary |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 3 data products score, Hungary or Low income?
- Hungary, at 89.7 scale 0-100 against 67.13 scale 0-100 in Low income as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 3 data products score between Hungary and Low income?
- 22.57 scale 0-100, with Hungary ahead.
- How many years of comparable data are there for Hungary and Low income?
- 9 years are reported by both, from 2016 to 2024.
- How do Hungary and Low income rank globally for statistical performance indicators (spi): pillar 3 data products score?
- Hungary ranks 5th and Low income ranks 3rd of 215 countries.
- 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.