Hungary vs Moldova: Statistical performance indicators (SPI): Pillar 2 data services score
Statistical performance indicators (SPI): Pillar 2 data services score over time
- Hungary
- Moldova
How they compare
Moldova currently reports 96 scale 0-100 against 95.53 scale 0-100 in Hungary, a difference of 0.47 scale 0-100.
The two have swapped places 1 time across 9 shared years of data; in 2016 it was Hungary ahead.
Hungary ranks 18th and Moldova ranks 16th of 182 countries.
Across the 2 decades both report, Hungary averaged higher in 1 and Moldova in 1.
Head to head by decade
| Decade | Hungary | Moldova | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 86.17 scale 0-100 | 75.87 scale 0-100 | 10.3 scale 0-100 | Hungary |
| 2020s | 90.32 scale 0-100 | 95.49 scale 0-100 | 5.17 scale 0-100 | Moldova |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher statistical performance indicators (spi): pillar 2 data services score, Hungary or Moldova?
- Moldova, at 96 scale 0-100 against 95.53 scale 0-100 in Hungary as of 2024.
- What is the difference in statistical performance indicators (spi): pillar 2 data services score between Hungary and Moldova?
- 0.47 scale 0-100, with Moldova ahead.
- How many years of comparable data are there for Hungary and Moldova?
- 9 years are reported by both, from 2016 to 2024.
- How do Hungary and Moldova rank globally for statistical performance indicators (spi): pillar 2 data services score?
- Hungary ranks 18th and Moldova ranks 16th of 182 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.