Bangladesh vs CEEC: Land cover and land cover change — Loss of cropland

Bangladesh
3,212 Square kilometres
in 2022
CEEC
26,891 Square kilometres
in 2022
Bangladesh rank
58th
CEEC rank
58th

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

  • Bangladesh
  • CEEC
010.0k20.0k30.0k200520132022

How they compare

CEEC currently reports 26,891 Square kilometres against 3,212 Square kilometres in Bangladesh, a difference of 23,679 Square kilometres.

That makes CEEC's figure about 8.4 times Bangladesh's.

Across all 5 years both countries report, CEEC has been ahead every year.

Bangladesh ranks 58th and CEEC ranks 58th of 169 countries.

CEEC has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Bangladesh CEEC Difference Ahead
2000s 476.45 Square kilometres 14,102 Square kilometres 13,626 Square kilometres CEEC
2010s 1,163 Square kilometres 20,310 Square kilometres 19,147 Square kilometres CEEC
2020s 2,779 Square kilometres 26,281 Square kilometres 23,503 Square kilometres CEEC

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — loss of cropland, Bangladesh or CEEC?
CEEC, at 26,891 Square kilometres against 3,212 Square kilometres in Bangladesh as of 2022.
What is the difference in land cover and land cover change — loss of cropland between Bangladesh and CEEC?
23,679 Square kilometres, with CEEC ahead.
How many years of comparable data are there for Bangladesh and CEEC?
5 years are reported by both, from 2005 to 2022.
How do Bangladesh and CEEC rank globally for land cover and land cover change — loss of cropland?
Bangladesh ranks 58th and CEEC ranks 58th 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

Bangladesh vs CEEC: 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/bangladesh/ceec/

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/bangladesh/ceec/">Bangladesh vs CEEC: 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