Argentina vs Ukraine: Dimension 4.2: Administrative Data
Dimension 4.2: Administrative Data over time
- Argentina
- Ukraine
How they compare
Argentina currently reports 1 against 1 in Ukraine, a difference of 0.
Across all 20 years both countries report, Ukraine has been ahead every year.
Argentina ranks 1st and Ukraine ranks 1st of 214 countries.
Head to head by decade
| Decade | Argentina | Ukraine | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 | 0 | 0 | — |
| 2010s | 0.5 | 0.5 | 0 | — |
| 2020s | 1 | 1 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.2: administrative data, Argentina or Ukraine?
- Argentina, at 1 against 1 in Ukraine as of 2023.
- What is the difference in dimension 4.2: administrative data between Argentina and Ukraine?
- 0, with Argentina ahead.
- How many years of comparable data are there for Argentina and Ukraine?
- 20 years are reported by both, from 2004 to 2023.
- How do Argentina and Ukraine rank globally for dimension 4.2: administrative data?
- Argentina ranks 1st and Ukraine 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 4.2: Administrative Data. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Average score for CRVS indicator. An ideal indicator would include a score based on the density of administrative data available in sectors of social protection, education, labor, and health. However, social protection, education, health, and labor admin data indicators not included because of lack of established methodology. While our team identified several promising sources for administrative data from the World Bank's ASPIRE team, WHO, UNESCO, and ILO, incomplete coverage across countries made us drop these indicators from our index. A major research and data collection effort is needed from all custodian agencies to fill in this information, so that a more comprehensive picture of administrative data availability can be produced.