OECD (37 countries) vs Russian Federation: Land cover and land cover change — Loss of cropland

OECD (37 countries)
213,454 Square kilometres
in 2022
Russian Federation
75,712 Square kilometres
in 2022
OECD (37 countries) rank
7th
Russian Federation rank
4th

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

  • OECD (37 countries)
  • Russian Federation
50.0k100.0k150.0k200.0k200520132022

How they compare

OECD (37 countries) currently reports 213,454 Square kilometres against 75,712 Square kilometres in Russian Federation, a difference of 137,742 Square kilometres.

That makes OECD (37 countries)'s figure about 2.8 times Russian Federation's.

Across all 5 years both countries report, OECD (37 countries) has been ahead every year.

OECD (37 countries) ranks 7th and Russian Federation ranks 4th of 753 regions.

OECD (37 countries) has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade OECD (37 countries) Russian Federation Difference Ahead
2000s 77,474 Square kilometres 25,012 Square kilometres 52,462 Square kilometres OECD (37 countries)
2010s 146,236 Square kilometres 53,170 Square kilometres 93,065 Square kilometres OECD (37 countries)
2020s 205,649 Square kilometres 73,584 Square kilometres 132,065 Square kilometres OECD (37 countries)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — loss of cropland, OECD (37 countries) or Russian Federation?
OECD (37 countries), at 213,454 Square kilometres against 75,712 Square kilometres in Russian Federation as of 2022.
What is the difference in land cover and land cover change — loss of cropland between OECD (37 countries) and Russian Federation?
137,742 Square kilometres, with OECD (37 countries) ahead.
How many years of comparable data are there for OECD (37 countries) and Russian Federation?
5 years are reported by both, from 2005 to 2022.
How do OECD (37 countries) and Russian Federation rank globally for land cover and land cover change — loss of cropland?
OECD (37 countries) ranks 7th and Russian Federation 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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OECD (37 countries) vs Russian Federation: Land cover and land cover change — Loss of cropland. 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-loss-of-cropland/oecd-37-countries/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