Main industrialised Asia vs Myanmar: Land cover and land cover change — Loss of cropland

Main industrialised Asia
114,585 Square kilometres
in 2022
Myanmar
10,312 Square kilometres
in 2022
Main industrialised Asia rank
17th
Myanmar rank
20th

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

  • Main industrialised Asia
  • Myanmar
025.0k50.0k75.0k100.0k125.0k200520132022

How they compare

Main industrialised Asia currently reports 114,585 Square kilometres against 10,312 Square kilometres in Myanmar, a difference of 104,273 Square kilometres.

That makes Main industrialised Asia's figure about 11.1 times Myanmar's.

Across all 5 years both countries report, Main industrialised Asia has been ahead every year.

Main industrialised Asia ranks 17th and Myanmar ranks 20th of 753 regions.

Main industrialised Asia has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Main industrialised Asia Myanmar Difference Ahead
2000s 24,153 Square kilometres 1,332 Square kilometres 22,821 Square kilometres Main industrialised Asia
2010s 51,431 Square kilometres 2,145 Square kilometres 49,286 Square kilometres Main industrialised Asia
2020s 103,876 Square kilometres 9,715 Square kilometres 94,162 Square kilometres Main industrialised 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, Main industrialised Asia or Myanmar?
Main industrialised Asia, at 114,585 Square kilometres against 10,312 Square kilometres in Myanmar as of 2022.
What is the difference in land cover and land cover change — loss of cropland between Main industrialised Asia and Myanmar?
104,273 Square kilometres, with Main industrialised Asia ahead.
How many years of comparable data are there for Main industrialised Asia and Myanmar?
5 years are reported by both, from 2005 to 2022.
How do Main industrialised Asia and Myanmar rank globally for land cover and land cover change — loss of cropland?
Main industrialised Asia ranks 17th and Myanmar ranks 20th 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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Main industrialised Asia vs Myanmar: Land cover and land cover change — Loss of cropland. 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-loss-of-cropland/main-industrialised-asia/myanmar/

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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