Maranhão vs Thailand: Land cover and land cover change — Loss of cropland

Maranhão
5,673 Square kilometres
in 2022
Thailand
9,447 Square kilometres
in 2022
Maranhão rank
25th
Thailand rank
25th

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

  • Maranhão
  • Thailand
2.0k4.0k6.0k8.0k10.0k200520132022

How they compare

Thailand currently reports 9,447 Square kilometres against 5,673 Square kilometres in Maranhão, a difference of 3,774 Square kilometres.

That makes Thailand's figure about 1.7 times Maranhão's.

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

Maranhão ranks 25th and Thailand ranks 25th of 57 groups.

Across the 3 decades both report, Maranhão averaged higher in 2 and Thailand in 1.

Head to head by decade

Decade Maranhão Thailand Difference Ahead
2000s 1,913 Square kilometres 1,111 Square kilometres 802.2 Square kilometres Maranhão
2010s 3,679 Square kilometres 3,172 Square kilometres 506.72 Square kilometres Maranhão
2020s 5,413 Square kilometres 8,435 Square kilometres 3,022 Square kilometres Thailand

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — loss of cropland, Maranhão or Thailand?
Thailand, at 9,447 Square kilometres against 5,673 Square kilometres in Maranhão as of 2022.
What is the difference in land cover and land cover change — loss of cropland between Maranhão and Thailand?
3,774 Square kilometres, with Thailand ahead.
How many years of comparable data are there for Maranhão and Thailand?
5 years are reported by both, from 2005 to 2022.
How do Maranhão and Thailand rank globally for land cover and land cover change — loss of cropland?
Maranhão ranks 25th and Thailand ranks 25th of 57 groups.
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

Maranhão vs Thailand: Land cover and land cover change — Loss of cropland. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 12 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-loss-of-cropland/maranhao/thailand/

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/maranhao/thailand/">Maranhão vs Thailand: 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