Chile vs Tanzania, United Republic of: Land cover and land cover change — Gain of artificial surfaces

Chile
1,384 Square kilometres
in 2022
Tanzania, United Republic of
1,233 Square kilometres
in 2022
Chile rank
40th
Tanzania, United Republic of rank
42nd

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

  • Chile
  • Tanzania, United Republic of
05001.0k1.5k200520132022

How they compare

Chile currently reports 1,384 Square kilometres against 1,233 Square kilometres in Tanzania, United Republic of, a difference of 151 Square kilometres.

That makes Chile's figure about 1.1 times Tanzania, United Republic of's.

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

Chile ranks 40th and Tanzania, United Republic of ranks 42nd of 164 countries.

Across the 3 decades both report, Chile averaged higher in 2 and Tanzania, United Republic of in 1.

Head to head by decade

Decade Chile Tanzania, United Republic of Difference Ahead
2000s 88.6 Square kilometres 194.09 Square kilometres 105.5 Square kilometres Tanzania, United Republic of
2010s 540.41 Square kilometres 457.31 Square kilometres 83.11 Square kilometres Chile
2020s 1,306 Square kilometres 1,040 Square kilometres 265.73 Square kilometres Chile

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, Chile or Tanzania, United Republic of?
Chile, at 1,384 Square kilometres against 1,233 Square kilometres in Tanzania, United Republic of as of 2022.
What is the difference in land cover and land cover change — gain of artificial surfaces between Chile and Tanzania, United Republic of?
151 Square kilometres, with Chile ahead.
How many years of comparable data are there for Chile and Tanzania, United Republic of?
5 years are reported by both, from 2005 to 2022.
How do Chile and Tanzania, United Republic of rank globally for land cover and land cover change — gain of artificial surfaces?
Chile ranks 40th and Tanzania, United Republic of ranks 42nd of 164 countries.
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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Chile vs Tanzania, United Republic of: Land cover and land cover change — Gain of artificial surfaces. 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-gain-of-artificial-surfaces/chile/tanzania/

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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