Central African Republic vs Southern-Kanto: Land cover and land cover change — Gain of artificial surfaces

Central African Republic
153.18 Square kilometres
in 2022
Southern-Kanto
1,187 Square kilometres
in 2022
Central African Republic rank
122nd
Southern-Kanto rank
124th

Land cover and land cover change — Gain of artificial surfaces over time

  • Central African Republic
  • Southern-Kanto
02505007501.0k1.2k200520132022

How they compare

Southern-Kanto currently reports 1,187 Square kilometres against 153.18 Square kilometres in Central African Republic, a difference of 1,034 Square kilometres.

That makes Southern-Kanto's figure about 7.7 times Central African Republic's.

Across all 5 years both countries report, Southern-Kanto has been ahead every year.

Central African Republic ranks 122nd and Southern-Kanto ranks 124th of 164 countries.

Southern-Kanto has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Central African Republic Southern-Kanto Difference Ahead
2000s 15.78 Square kilometres 161.98 Square kilometres 146.2 Square kilometres Southern-Kanto
2010s 37.62 Square kilometres 933.83 Square kilometres 896.21 Square kilometres Southern-Kanto
2020s 124.77 Square kilometres 1,170 Square kilometres 1,045 Square kilometres Southern-Kanto

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — gain of artificial surfaces, Central African Republic or Southern-Kanto?
Southern-Kanto, at 1,187 Square kilometres against 153.18 Square kilometres in Central African Republic as of 2022.
What is the difference in land cover and land cover change — gain of artificial surfaces between Central African Republic and Southern-Kanto?
1,034 Square kilometres, with Southern-Kanto ahead.
How many years of comparable data are there for Central African Republic and Southern-Kanto?
5 years are reported by both, from 2005 to 2022.
How do Central African Republic and Southern-Kanto rank globally for land cover and land cover change — gain of artificial surfaces?
Central African Republic ranks 122nd and Southern-Kanto ranks 124th of 164 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Land cover and land cover change — Gain of artificial surfaces. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Central African Republic vs Southern-Kanto: Land cover and land cover change — Gain of artificial surfaces. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 14 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-gain-of-artificial-surfaces/central-african-republic/southern-kanto/

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About this data

Indicator
Land cover and land cover change — Gain of artificial surfaces
Unit
Square kilometres
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
978 places, 4,890 data points, 2005–2022
Last refreshed

The land cover dataset provides a global assessment of land cover and land cover change to monitor pressures on ecosystems and biodiversity. By using geospatial data with high spatio-temporal resolution, it develops a set of internationally comparable indicators with a long time series and a five-year interval from 2000 to 2022 for the Climate Change Initiative Land Cover dataset, and from 1975 to 2030 for the Global Human Settlement Layer dataset. Please see the working paper for a more complete description of the methods. The dataset has a global coverage on the national level, while on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. The following country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas, the LAC region and the World. Data source(s): Climate Change Initiative land cover data and Global Human Settlement Layer built-up area data. Contact: ENV.Stat@oecd.org Database documentation