Angola vs Ghana: Dimension 4.2: Administrative Data
Dimension 4.2: Administrative Data over time
- Angola
- Ghana
How they compare
Angola currently reports 0 against 0 in Ghana, a difference of 0.
Across all 20 years both countries report, Ghana has been ahead every year.
Angola ranks 144th and Ghana ranks 144th of 214 countries.
Head to head by decade
| Decade | Angola | Ghana | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 | 0 | 0 | — |
| 2010s | 0 | 0 | 0 | — |
| 2020s | 0 | 0 | 0 | — |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.2: administrative data, Angola or Ghana?
- Angola, at 0 against 0 in Ghana as of 2023.
- What is the difference in dimension 4.2: administrative data between Angola and Ghana?
- 0, with Angola ahead.
- How many years of comparable data are there for Angola and Ghana?
- 20 years are reported by both, from 2004 to 2023.
- How do Angola and Ghana rank globally for dimension 4.2: administrative data?
- Angola ranks 144th and Ghana ranks 144th 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.