G20 non-OECD economies vs OECD: Land cover and land cover change — Gain of artificial surfaces

G20 non-OECD economies
187,312 Square kilometres
in 2022
OECD
136,872 Square kilometres
in 2022
G20 non-OECD economies rank
3rd
OECD rank
1st

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

  • G20 non-OECD economies
  • OECD
50.0k100.0k150.0k200.0k200520132022

How they compare

G20 non-OECD economies currently reports 187,312 Square kilometres against 136,872 Square kilometres in OECD, a difference of 50,440 Square kilometres.

That makes G20 non-OECD economies's figure about 1.4 times OECD's.

The two have swapped places 1 time across 5 shared years of data; in 2005 it was OECD ahead.

G20 non-OECD economies ranks 3rd and OECD ranks 1st of 758 regions.

Across the 3 decades both report, G20 non-OECD economies averaged higher in 2 and OECD in 1.

Head to head by decade

Decade G20 non-OECD economies OECD Difference Ahead
2000s 46,611 Square kilometres 55,937 Square kilometres 9,326 Square kilometres OECD
2010s 106,599 Square kilometres 96,820 Square kilometres 9,780 Square kilometres G20 non-OECD economies
2020s 174,841 Square kilometres 131,474 Square kilometres 43,368 Square kilometres G20 non-OECD economies

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, G20 non-OECD economies or OECD?
G20 non-OECD economies, at 187,312 Square kilometres against 136,872 Square kilometres in OECD as of 2022.
What is the difference in land cover and land cover change — gain of artificial surfaces between G20 non-OECD economies and OECD?
50,440 Square kilometres, with G20 non-OECD economies ahead.
How many years of comparable data are there for G20 non-OECD economies and OECD?
5 years are reported by both, from 2005 to 2022.
How do G20 non-OECD economies and OECD rank globally for land cover and land cover change — gain of artificial surfaces?
G20 non-OECD economies ranks 3rd and OECD ranks 1st of 758 regions.
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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G20 non-OECD economies vs OECD: Land cover and land cover change — Gain of artificial surfaces. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 13 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-gain-of-artificial-surfaces/g20-non-oecd-economies/oecd/

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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