Benin vs Chad: Dimension 4.3: Geospatial Data

Benin
0.253
in 2023
Chad
0.253
in 2023
Benin rank
104th
Chad rank
104th

Dimension 4.3: Geospatial Data over time

  • Benin
  • Chad
00.10.20.3201520192023

How they compare

Benin currently reports 0.253 against 0.253 in Chad, a difference of 0.

The two have swapped places 3 times across 9 shared years of data; in 2015 it was Benin ahead.

Benin ranks 104th and Chad ranks 104th of 177 countries.

Across the 2 decades both report, Benin averaged higher in 1 and Chad in 1.

Head to head by decade

Decade Benin Chad Difference Ahead
2010s 0.1402 0.1126 0.0276 Benin
2020s 0.226 0.2365 0.0105 Chad

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Benin or Chad?
Benin, at 0.253 against 0.253 in Chad as of 2023.
What is the difference in dimension 4.3: geospatial data between Benin and Chad?
0, with Benin ahead.
How many years of comparable data are there for Benin and Chad?
9 years are reported by both, from 2015 to 2023.
How do Benin and Chad rank globally for dimension 4.3: geospatial data?
Benin ranks 104th and Chad ranks 104th 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.