Liechtenstein vs Maldives: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Liechtenstein
- Maldives
How they compare
Liechtenstein currently reports 0.458 against 0.453 in Maldives, a difference of 0.005.
The two have swapped places 2 times across 7 shared years of data; in 2017 it was Liechtenstein ahead.
Liechtenstein ranks 25th and Maldives ranks 27th of 177 countries.
Across the 2 decades both report, Liechtenstein averaged higher in 1 and Maldives in 1.
Head to head by decade
| Decade | Liechtenstein | Maldives | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.409 | 0.3743 | 0.0347 | Liechtenstein |
| 2020s | 0.4535 | 0.478 | 0.0245 | Maldives |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Liechtenstein or Maldives?
- Liechtenstein, at 0.458 against 0.453 in Maldives as of 2023.
- What is the difference in dimension 4.3: geospatial data between Liechtenstein and Maldives?
- 0.005, with Liechtenstein ahead.
- How many years of comparable data are there for Liechtenstein and Maldives?
- 7 years are reported by both, from 2017 to 2023.
- How do Liechtenstein and Maldives rank globally for dimension 4.3: geospatial data?
- Liechtenstein ranks 25th and Maldives ranks 27th 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.