Congo vs Peru: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Congo
- Peru
How they compare
Peru currently reports 0.19 against 0.178 in Congo, a difference of 0.012.
That makes Peru's figure about 1.1 times Congo's.
The two have swapped places 2 times across 9 shared years of data; in 2015 it was Peru ahead.
Congo ranks 132nd and Peru ranks 130th of 177 countries.
Across the 2 decades both report, Congo averaged higher in 1 and Peru in 1.
Head to head by decade
| Decade | Congo | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.2698 | 0.2374 | 0.0324 | Congo |
| 2020s | 0.178 | 0.1795 | 0.0015 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Congo or Peru?
- Peru, at 0.19 against 0.178 in Congo as of 2023.
- What is the difference in dimension 4.3: geospatial data between Congo and Peru?
- 0.012, with Peru ahead.
- How many years of comparable data are there for Congo and Peru?
- 9 years are reported by both, from 2015 to 2023.
- How do Congo and Peru rank globally for dimension 4.3: geospatial data?
- Congo ranks 132nd and Peru ranks 130th 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.