Denmark vs Mexico: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Denmark
- Mexico
How they compare
Denmark currently reports 0.55 against 0.542 in Mexico, a difference of 0.008.
The two have swapped places 4 times across 8 shared years of data; in 2016 it was Denmark ahead.
Denmark ranks 9th and Mexico ranks 10th of 177 countries.
Across the 2 decades both report, Denmark averaged higher in 1 and Mexico in 1.
Head to head by decade
| Decade | Denmark | Mexico | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.4295 | 0.4118 | 0.0177 | Denmark |
| 2020s | 0.567 | 0.5735 | 0.0065 | Mexico |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Denmark or Mexico?
- Denmark, at 0.55 against 0.542 in Mexico as of 2023.
- What is the difference in dimension 4.3: geospatial data between Denmark and Mexico?
- 0.008, with Denmark ahead.
- How many years of comparable data are there for Denmark and Mexico?
- 8 years are reported by both, from 2016 to 2023.
- How do Denmark and Mexico rank globally for dimension 4.3: geospatial data?
- Denmark ranks 9th and Mexico ranks 10th 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.