Cameroon vs Mali: Dimension 4.3: Geospatial Data

Cameroon
0.304
in 2023
Mali
0.304
in 2023
Cameroon rank
72nd
Mali rank
72nd

Dimension 4.3: Geospatial Data over time

  • Cameroon
  • Mali
00.10.20.30.4201520192023

How they compare

Cameroon currently reports 0.304 against 0.304 in Mali, a difference of 0.

The two have swapped places 2 times across 9 shared years of data; in 2015 it was Mali ahead.

Cameroon ranks 72nd and Mali ranks 72nd of 177 countries.

Cameroon has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Cameroon Mali Difference Ahead
2010s 0.266 0.2624 0.0036 Cameroon
2020s 0.3355 0.2935 0.042 Cameroon

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Cameroon or Mali?
Cameroon, at 0.304 against 0.304 in Mali as of 2023.
What is the difference in dimension 4.3: geospatial data between Cameroon and Mali?
0, with Cameroon ahead.
How many years of comparable data are there for Cameroon and Mali?
9 years are reported by both, from 2015 to 2023.
How do Cameroon and Mali rank globally for dimension 4.3: geospatial data?
Cameroon ranks 72nd and Mali ranks 72nd 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

Indicator
Dimension 4.3: Geospatial Data
Source
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
179 places, 1,551 data points, 2015–2023
Last refreshed

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.