South Carolina vs Syrian Arab Republic: Land cover and land cover change — Gain of artificial surfaces

South Carolina
805.85 Square kilometres
in 2022
Syrian Arab Republic
791.42 Square kilometres
in 2022
South Carolina rank
158th
Syrian Arab Republic rank
160th

Land cover and land cover change — Gain of artificial surfaces over time

  • South Carolina
  • Syrian Arab Republic
0200400600800200520132022

How they compare

South Carolina currently reports 805.85 Square kilometres against 791.42 Square kilometres in Syrian Arab Republic, a difference of 14.43 Square kilometres.

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

South Carolina ranks 158th and Syrian Arab Republic ranks 160th of 758 groups.

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

Head to head by decade

Decade South Carolina Syrian Arab Republic Difference Ahead
2000s 202.58 Square kilometres 60.23 Square kilometres 142.34 Square kilometres South Carolina
2010s 565.91 Square kilometres 359.3 Square kilometres 206.62 Square kilometres South Carolina
2020s 762.83 Square kilometres 743.91 Square kilometres 18.91 Square kilometres South Carolina

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — gain of artificial surfaces, South Carolina or Syrian Arab Republic?
South Carolina, at 805.85 Square kilometres against 791.42 Square kilometres in Syrian Arab Republic as of 2022.
What is the difference in land cover and land cover change — gain of artificial surfaces between South Carolina and Syrian Arab Republic?
14.43 Square kilometres, with South Carolina ahead.
How many years of comparable data are there for South Carolina and Syrian Arab Republic?
5 years are reported by both, from 2005 to 2022.
How do South Carolina and Syrian Arab Republic rank globally for land cover and land cover change — gain of artificial surfaces?
South Carolina ranks 158th and Syrian Arab Republic ranks 160th of 758 groups.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Land cover and land cover change — Gain of artificial surfaces. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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South Carolina vs Syrian Arab Republic: Land cover and land cover change — Gain of artificial surfaces. 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-gain-of-artificial-surfaces/south-carolina/syrian-arab-republic-2/

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About this data

Indicator
Land cover and land cover change — Gain of artificial surfaces
Unit
Square kilometres
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
978 places, 4,890 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