Maldives vs Saint Lucia: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Maldives
- Saint Lucia
How they compare
Maldives currently reports 0.453 against 0.425 in Saint Lucia, a difference of 0.028.
That makes Maldives's figure about 1.1 times Saint Lucia's.
The two have swapped places 1 time across 9 shared years of data; in 2015 it was Saint Lucia ahead.
Maldives ranks 27th and Saint Lucia ranks 30th of 177 countries.
Maldives has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Maldives | Saint Lucia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.388 | 0.2686 | 0.1194 | Maldives |
| 2020s | 0.478 | 0.4595 | 0.0185 | Maldives |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Maldives or Saint Lucia?
- Maldives, at 0.453 against 0.425 in Saint Lucia as of 2023.
- What is the difference in dimension 4.3: geospatial data between Maldives and Saint Lucia?
- 0.028, with Maldives ahead.
- How many years of comparable data are there for Maldives and Saint Lucia?
- 9 years are reported by both, from 2015 to 2023.
- How do Maldives and Saint Lucia rank globally for dimension 4.3: geospatial data?
- Maldives ranks 27th 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.