Cambodia vs Northern-Kanto, Koshin: Land cover and land cover change — Gain of artificial surfaces

Cambodia
337.61 Square kilometres
in 2022
Northern-Kanto, Koshin
1,765 Square kilometres
in 2022
Cambodia rank
97th
Northern-Kanto, Koshin rank
96th

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

  • Cambodia
  • Northern-Kanto, Koshin
05001.0k1.5k2.0k200520132022

How they compare

Northern-Kanto, Koshin currently reports 1,765 Square kilometres against 337.61 Square kilometres in Cambodia, a difference of 1,427 Square kilometres.

That makes Northern-Kanto, Koshin's figure about 5.2 times Cambodia's.

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

Cambodia ranks 97th and Northern-Kanto, Koshin ranks 96th of 164 countries.

Northern-Kanto, Koshin has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Cambodia Northern-Kanto, Koshin Difference Ahead
2000s 16.23 Square kilometres 194.55 Square kilometres 178.33 Square kilometres Northern-Kanto, Koshin
2010s 147.3 Square kilometres 1,316 Square kilometres 1,169 Square kilometres Northern-Kanto, Koshin
2020s 319.78 Square kilometres 1,711 Square kilometres 1,391 Square kilometres Northern-Kanto, Koshin

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, Cambodia or Northern-Kanto, Koshin?
Northern-Kanto, Koshin, at 1,765 Square kilometres against 337.61 Square kilometres in Cambodia as of 2022.
What is the difference in land cover and land cover change — gain of artificial surfaces between Cambodia and Northern-Kanto, Koshin?
1,427 Square kilometres, with Northern-Kanto, Koshin ahead.
How many years of comparable data are there for Cambodia and Northern-Kanto, Koshin?
5 years are reported by both, from 2005 to 2022.
How do Cambodia and Northern-Kanto, Koshin rank globally for land cover and land cover change — gain of artificial surfaces?
Cambodia ranks 97th and Northern-Kanto, Koshin ranks 96th 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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Cambodia vs Northern-Kanto, Koshin: Land cover and land cover change — Gain of artificial surfaces. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 15 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-gain-of-artificial-surfaces/cambodia/northern-kanto-koshin/

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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