Indonesia vs Mexico: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Indonesia
- Mexico
How they compare
Indonesia currently reports 0.542 against 0.542 in Mexico, a difference of 0.
The two have swapped places 2 times across 9 shared years of data; in 2015 it was Mexico ahead.
Indonesia ranks 10th and Mexico ranks 10th of 177 countries.
Mexico has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Indonesia | Mexico | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.3584 | 0.4554 | 0.097 | Mexico |
| 2020s | 0.444 | 0.5735 | 0.1295 | Mexico |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Indonesia or Mexico?
- Indonesia, at 0.542 against 0.542 in Mexico as of 2023.
- What is the difference in dimension 4.3: geospatial data between Indonesia and Mexico?
- 0, with Indonesia ahead.
- How many years of comparable data are there for Indonesia and Mexico?
- 9 years are reported by both, from 2015 to 2023.
- How do Indonesia and Mexico rank globally for dimension 4.3: geospatial data?
- Indonesia ranks 10th 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.