Seychelles vs South Kalimantan Province: Land cover and land cover change — Loss of cropland

Seychelles
0.33 Square kilometres
in 2022
South Kalimantan Province
1,536 Square kilometres
in 2022
Seychelles rank
165th
South Kalimantan Province rank
165th

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

  • Seychelles
  • South Kalimantan Province
05001.0k1.5k200520132022

How they compare

South Kalimantan Province currently reports 1,536 Square kilometres against 0.33 Square kilometres in Seychelles, a difference of 1,536 Square kilometres.

That makes South Kalimantan Province's figure about 4,654.0 times Seychelles's.

Across all 5 years both countries report, South Kalimantan Province has been ahead every year.

Seychelles ranks 165th and South Kalimantan Province ranks 165th of 169 countries.

South Kalimantan Province has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Seychelles South Kalimantan Province Difference Ahead
2000s 0 Square kilometres 395.44 Square kilometres 395.44 Square kilometres South Kalimantan Province
2010s 0.0416 Square kilometres 875.34 Square kilometres 875.3 Square kilometres South Kalimantan Province
2020s 0.2066 Square kilometres 1,373 Square kilometres 1,372 Square kilometres South Kalimantan Province

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — loss of cropland, Seychelles or South Kalimantan Province?
South Kalimantan Province, at 1,536 Square kilometres against 0.33 Square kilometres in Seychelles as of 2022.
What is the difference in land cover and land cover change — loss of cropland between Seychelles and South Kalimantan Province?
1,536 Square kilometres, with South Kalimantan Province ahead.
How many years of comparable data are there for Seychelles and South Kalimantan Province?
5 years are reported by both, from 2005 to 2022.
How do Seychelles and South Kalimantan Province rank globally for land cover and land cover change — loss of cropland?
Seychelles ranks 165th and South Kalimantan Province ranks 165th 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.

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Seychelles vs South Kalimantan Province: Land cover and land cover change — Loss of cropland. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 17 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-loss-of-cropland/seychelles/south-kalimantan-province/

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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