Kansai region vs Papua New Guinea: Land cover and land cover change — Gain of artificial surfaces

Kansai region
946.46 Square kilometres
in 2022
Papua New Guinea
54.85 Square kilometres
in 2022
Kansai region rank
137th
Papua New Guinea rank
139th

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

  • Kansai region
  • Papua New Guinea
02004006008001.0k200520132022

How they compare

Kansai region currently reports 946.46 Square kilometres against 54.85 Square kilometres in Papua New Guinea, a difference of 891.61 Square kilometres.

That makes Kansai region's figure about 17.3 times Papua New Guinea's.

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

Kansai region ranks 137th and Papua New Guinea ranks 139th of 758 regions.

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

Head to head by decade

Decade Kansai region Papua New Guinea Difference Ahead
2000s 51.31 Square kilometres 8.19 Square kilometres 43.12 Square kilometres Kansai region
2010s 696.74 Square kilometres 18.62 Square kilometres 678.12 Square kilometres Kansai region
2020s 931.67 Square kilometres 49.36 Square kilometres 882.31 Square kilometres Kansai region

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, Kansai region or Papua New Guinea?
Kansai region, at 946.46 Square kilometres against 54.85 Square kilometres in Papua New Guinea as of 2022.
What is the difference in land cover and land cover change — gain of artificial surfaces between Kansai region and Papua New Guinea?
891.61 Square kilometres, with Kansai region ahead.
How many years of comparable data are there for Kansai region and Papua New Guinea?
5 years are reported by both, from 2005 to 2022.
How do Kansai region and Papua New Guinea rank globally for land cover and land cover change — gain of artificial surfaces?
Kansai region ranks 137th and Papua New Guinea ranks 139th of 758 regions.
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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Kansai region vs Papua New Guinea: Land cover and land cover change — Gain of artificial surfaces. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 16 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-gain-of-artificial-surfaces/kansai-region/papua-new-guinea/

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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