Estonia vs Hungary: Dimension 1.5: Data use by international organizations
Dimension 1.5: Data use by international organizations over time
- Estonia
- Hungary
How they compare
Estonia currently reports 1 against 1 in Hungary, a difference of 0.
Across all 20 years both countries report, Hungary has been ahead every year.
Estonia ranks 1st and Hungary ranks 1st of 214 countries.
Head to head by decade
| Decade | Estonia | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.4 | 0.4 | 0 | — |
| 2010s | 0.78 | 0.78 | 0 | — |
| 2020s | 1 | 1 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 1.5: data use by international organizations, Estonia or Hungary?
- Estonia, at 1 against 1 in Hungary as of 2023.
- What is the difference in dimension 1.5: data use by international organizations between Estonia and Hungary?
- 0, with Estonia ahead.
- How many years of comparable data are there for Estonia and Hungary?
- 20 years are reported by both, from 2004 to 2023.
- How do Estonia and Hungary rank globally for dimension 1.5: data use by international organizations?
- Estonia ranks 1st and Hungary ranks 1st of 214 countries.
- Where does this data come from?
- Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Dimension 1.5: Data use by international organizations. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Five measures usefulness or reliability of country produced measures for international organizations. First, on comparability of poverty estimates for the World Bank reporting on international poverty (Source: Povcalnet). Second on usable surveys for statistics on child mortality for the UN Inter-agency Group for Child Mortality Estimation (Source: https://childmortality.org/). Third on accuracy of debt reporting as classified by the World Bank (Source: World Bank WDI metadata). Fourth, on availability of safely managed drinking water data for use by JMP. Fifth, on labor force participation data for use by ILO. We recognize that these data sources provide only partial coverage but consider that they do at least provide some indication of the performance of the national statistical system. With more complete data sources it would be possible to assess this further