Northern America vs Russian Federation: Land cover and land cover change — Grassland

Northern America
2.00 million Square kilometres
in 2022
Russian Federation
1.18 million Square kilometres
in 2022
Northern America rank
7th
Russian Federation rank
6th

Land cover and land cover change — Grassland over time

  • Northern America
  • Russian Federation
0500.0k1.0M1.5M2.0M200020112022

How they compare

Northern America currently reports 2.00 million Square kilometres against 1.18 million Square kilometres in Russian Federation, a difference of 823,110 Square kilometres.

That makes Northern America's figure about 1.7 times Russian Federation's.

Across all 6 years both countries report, Northern America has been ahead every year.

Northern America ranks 7th and Russian Federation ranks 6th of 71 groups.

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

Head to head by decade

Decade Northern America Russian Federation Difference Ahead
2000s 2.00 million Square kilometres 1.16 million Square kilometres 843,955 Square kilometres Northern America
2010s 1.99 million Square kilometres 1.17 million Square kilometres 820,545 Square kilometres Northern America
2020s 2.00 million Square kilometres 1.18 million Square kilometres 821,900 Square kilometres Northern America

Averages of every year both report within each decade.

Frequently asked questions

Which has higher land cover and land cover change — grassland, Northern America or Russian Federation?
Northern America, at 2.00 million Square kilometres against 1.18 million Square kilometres in Russian Federation as of 2022.
What is the difference in land cover and land cover change — grassland between Northern America and Russian Federation?
823,110 Square kilometres, with Northern America ahead.
How many years of comparable data are there for Northern America and Russian Federation?
6 years are reported by both, from 2000 to 2022.
How do Northern America and Russian Federation rank globally for land cover and land cover change — grassland?
Northern America ranks 7th and Russian Federation ranks 6th of 71 groups.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Land cover and land cover change — Grassland. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Northern America vs Russian Federation: Land cover and land cover change — Grassland. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 11 September 2026, from https://environment.statizoid.com/compare/land-cover-and-land-cover-change-grassland/northern-america/russian-federation/

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About this data

Indicator
Land cover and land cover change — Grassland
Unit
Square kilometres
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
1,053 places, 6,318 data points, 2000–2022
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