Egypt vs Saint Vincent and the Grenadines: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Egypt
- Saint Vincent and the Grenadines
How they compare
Saint Vincent and the Grenadines currently reports 0.389 against 0.386 in Egypt, a difference of 0.003.
Across all 9 years both countries report, Saint Vincent and the Grenadines has been ahead every year.
Egypt ranks 42nd and Saint Vincent and the Grenadines ranks 41st of 177 countries.
Saint Vincent and the Grenadines has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Egypt | Saint Vincent and the Grenadines | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1772 | 0.3148 | 0.1376 | Saint Vincent and the Grenadines |
| 2020s | 0.3705 | 0.395 | 0.0245 | Saint Vincent and the Grenadines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Egypt or Saint Vincent and the Grenadines?
- Saint Vincent and the Grenadines, at 0.389 against 0.386 in Egypt as of 2023.
- What is the difference in dimension 4.3: geospatial data between Egypt and Saint Vincent and the Grenadines?
- 0.003, with Saint Vincent and the Grenadines ahead.
- How many years of comparable data are there for Egypt and Saint Vincent and the Grenadines?
- 9 years are reported by both, from 2015 to 2023.
- How do Egypt and Saint Vincent and the Grenadines rank globally for dimension 4.3: geospatial data?
- Egypt ranks 42nd and Saint Vincent and the Grenadines ranks 41st of 177 countries.
- Where does this data come from?
- Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Dimension 4.3: Geospatial Data. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Geospatial data available at 1st Admin Level. We recognize that this data source provides only limited coverage but consider that it does at least provide some indication of the ability of the national statistical system to produce geospatial data. A major research and data collection effort is needed via GGIM to fill in this information, so that a more comprehensive picture of geospatial data capability at the national level can be produced. Until this is done, it we cannot even assess the scale of the data gaps in a comparable way.