Cape Verde vs Marshall Islands: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Cape Verde
- Marshall Islands
How they compare
Marshall Islands currently reports 0.291 against 0.283 in Cape Verde, a difference of 0.008.
The two have swapped places 3 times across 9 shared years of data; in 2015 it was Cape Verde ahead.
Cape Verde ranks 87th and Marshall Islands ranks 86th of 177 countries.
Across the 2 decades both report, Cape Verde averaged higher in 1 and Marshall Islands in 1.
Head to head by decade
| Decade | Cape Verde | Marshall Islands | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1338 | 0.2308 | 0.097 | Marshall Islands |
| 2020s | 0.33 | 0.3135 | 0.0165 | Cape Verde |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Cape Verde or Marshall Islands?
- Marshall Islands, at 0.291 against 0.283 in Cape Verde as of 2023.
- What is the difference in dimension 4.3: geospatial data between Cape Verde and Marshall Islands?
- 0.008, with Marshall Islands ahead.
- How many years of comparable data are there for Cape Verde and Marshall Islands?
- 9 years are reported by both, from 2015 to 2023.
- How do Cape Verde and Marshall Islands rank globally for dimension 4.3: geospatial data?
- Cape Verde ranks 87th and Marshall Islands ranks 86th 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.