Ghana vs Saint Lucia: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Ghana
- Saint Lucia
How they compare
Saint Lucia currently reports 0.425 against 0.419 in Ghana, a difference of 0.006.
The two have swapped places 2 times across 9 shared years of data; in 2015 it was Saint Lucia ahead.
Ghana ranks 32nd and Saint Lucia ranks 30th of 177 countries.
Across the 2 decades both report, Ghana averaged higher in 1 and Saint Lucia in 1.
Head to head by decade
| Decade | Ghana | Saint Lucia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.301 | 0.2686 | 0.0324 | Ghana |
| 2020s | 0.351 | 0.4595 | 0.1085 | Saint Lucia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Ghana or Saint Lucia?
- Saint Lucia, at 0.425 against 0.419 in Ghana as of 2023.
- What is the difference in dimension 4.3: geospatial data between Ghana and Saint Lucia?
- 0.006, with Saint Lucia ahead.
- How many years of comparable data are there for Ghana and Saint Lucia?
- 9 years are reported by both, from 2015 to 2023.
- How do Ghana and Saint Lucia rank globally for dimension 4.3: geospatial data?
- Ghana ranks 32nd and Saint Lucia ranks 30th 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.