Gabon vs Jiangsu: Land cover and land cover change — Loss of cropland

Gabon
2,192 Square kilometres
in 2022
Jiangsu
9,016 Square kilometres
in 2022
Gabon rank
75th
Jiangsu rank
73rd

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

  • Gabon
  • Jiangsu
02.0k4.0k6.0k8.0k10.0k200520132022

How they compare

Jiangsu currently reports 9,016 Square kilometres against 2,192 Square kilometres in Gabon, a difference of 6,824 Square kilometres.

That makes Jiangsu's figure about 4.1 times Gabon's.

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

Gabon ranks 75th and Jiangsu ranks 73rd of 169 countries.

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

Head to head by decade

Decade Gabon Jiangsu Difference Ahead
2000s 559.24 Square kilometres 1,047 Square kilometres 487.41 Square kilometres Jiangsu
2010s 1,194 Square kilometres 4,829 Square kilometres 3,635 Square kilometres Jiangsu
2020s 2,166 Square kilometres 8,373 Square kilometres 6,206 Square kilometres Jiangsu

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — loss of cropland, Gabon or Jiangsu?
Jiangsu, at 9,016 Square kilometres against 2,192 Square kilometres in Gabon as of 2022.
What is the difference in land cover and land cover change — loss of cropland between Gabon and Jiangsu?
6,824 Square kilometres, with Jiangsu ahead.
How many years of comparable data are there for Gabon and Jiangsu?
5 years are reported by both, from 2005 to 2022.
How do Gabon and Jiangsu rank globally for land cover and land cover change — loss of cropland?
Gabon ranks 75th and Jiangsu ranks 73rd 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

Gabon vs Jiangsu: Land cover and land cover change — Loss of cropland. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 09 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-loss-of-cropland/gabon/jiangsu/

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/gabon/jiangsu/">Gabon vs Jiangsu: 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