G20 excl. European Union vs Russia: Land cover and land cover change — Loss of cropland

G20 excl. European Union
612,912 Square kilometres
in 2022
Russia
75,712 Square kilometres
in 2022
G20 excl. European Union rank
2nd
Russia rank
4th

Land cover and land cover change — Loss of cropland over time

  • G20 excl. European Union
  • Russia
0200.0k400.0k600.0k200520132022

How they compare

G20 excl. European Union currently reports 612,912 Square kilometres against 75,712 Square kilometres in Russia, a difference of 537,200 Square kilometres.

That makes G20 excl. European Union's figure about 8.1 times Russia's.

Across all 5 years both countries report, G20 excl. European Union has been ahead every year.

G20 excl. European Union ranks 2nd and Russia ranks 4th of 753 regions.

G20 excl. European Union has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade G20 excl. European Union Russia Difference Ahead
2000s 161,613 Square kilometres 25,012 Square kilometres 136,601 Square kilometres G20 excl. European Union
2010s 343,240 Square kilometres 53,170 Square kilometres 290,070 Square kilometres G20 excl. European Union
2020s 576,314 Square kilometres 73,584 Square kilometres 502,729 Square kilometres G20 excl. European Union

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — loss of cropland, G20 excl. European Union or Russia?
G20 excl. European Union, at 612,912 Square kilometres against 75,712 Square kilometres in Russia as of 2022.
What is the difference in land cover and land cover change — loss of cropland between G20 excl. European Union and Russia?
537,200 Square kilometres, with G20 excl. European Union ahead.
How many years of comparable data are there for G20 excl. European Union and Russia?
5 years are reported by both, from 2005 to 2022.
How do G20 excl. European Union and Russia rank globally for land cover and land cover change — loss of cropland?
G20 excl. European Union ranks 2nd and Russia ranks 4th of 753 regions.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Land cover and land cover change — Loss of cropland. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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G20 excl. European Union vs Russia: Land cover and land cover change — Loss of cropland. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 18 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-loss-of-cropland/g20-excl-european-union/russian-federation/

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About this data

Indicator
Land cover and land cover change — Loss of cropland
Unit
Square kilometres
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
979 places, 4,895 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