Russian Federation vs South-eastern Asia: Land cover and land cover change — Loss of cropland

Russian Federation
75,712 Square kilometres
in 2022
South-eastern Asia
106,805 Square kilometres
in 2022
Russian Federation rank
4th
South-eastern Asia rank
6th

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

  • Russian Federation
  • South-eastern Asia
20.0k40.0k60.0k80.0k100.0k200520132022

How they compare

South-eastern Asia currently reports 106,805 Square kilometres against 75,712 Square kilometres in Russian Federation, a difference of 31,093 Square kilometres.

That makes South-eastern Asia's figure about 1.4 times Russian Federation's.

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

Russian Federation ranks 4th and South-eastern Asia ranks 6th of 169 countries.

Across the 3 decades both report, Russian Federation averaged higher in 1 and South-eastern Asia in 2.

Head to head by decade

Decade Russian Federation South-eastern Asia Difference Ahead
2000s 25,012 Square kilometres 24,740 Square kilometres 271.4 Square kilometres Russian Federation
2010s 53,170 Square kilometres 56,561 Square kilometres 3,391 Square kilometres South-eastern Asia
2020s 73,584 Square kilometres 99,128 Square kilometres 25,544 Square kilometres South-eastern Asia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — loss of cropland, Russian Federation or South-eastern Asia?
South-eastern Asia, at 106,805 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 Russian Federation and South-eastern Asia?
31,093 Square kilometres, with South-eastern Asia ahead.
How many years of comparable data are there for Russian Federation and South-eastern Asia?
5 years are reported by both, from 2005 to 2022.
How do Russian Federation and South-eastern Asia rank globally for land cover and land cover change — loss of cropland?
Russian Federation ranks 4th and South-eastern Asia ranks 6th of 169 countries.
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.

Individual pages

Share, cite or embed this page

Cite this page

Russian Federation vs South-eastern Asia: Land cover and land cover change — Loss of cropland. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 16 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-loss-of-cropland/russian-federation/south-eastern-asia/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://environment.statizoid.com/compare/land-cover-and-land-cover-change-loss-of-cropland/russian-federation/south-eastern-asia/">Russian Federation vs South-eastern Asia: Land cover and land cover change — Loss of cropland</a> — Statizoid

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