Goiás vs Moldova: Land cover and land cover change — Gain of artificial surfaces

Goiás
775.89 Square kilometres
in 2022
Moldova
899.86 Square kilometres
in 2022
Goiás rank
24th
Moldova rank
22nd

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

  • Goiás
  • Moldova
200400600800200520132022

How they compare

Moldova currently reports 899.86 Square kilometres against 775.89 Square kilometres in Goiás, a difference of 123.97 Square kilometres.

That makes Moldova's figure about 1.2 times Goiás's.

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

Goiás ranks 24th and Moldova ranks 22nd of 56 groups.

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

Head to head by decade

Decade Goiás Moldova Difference Ahead
2000s 191.07 Square kilometres 845.02 Square kilometres 653.95 Square kilometres Moldova
2010s 447.07 Square kilometres 870.61 Square kilometres 423.55 Square kilometres Moldova
2020s 720.41 Square kilometres 888.77 Square kilometres 168.37 Square kilometres Moldova

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, Goiás or Moldova?
Moldova, at 899.86 Square kilometres against 775.89 Square kilometres in Goiás as of 2022.
What is the difference in land cover and land cover change — gain of artificial surfaces between Goiás and Moldova?
123.97 Square kilometres, with Moldova ahead.
How many years of comparable data are there for Goiás and Moldova?
5 years are reported by both, from 2005 to 2022.
How do Goiás and Moldova rank globally for land cover and land cover change — gain of artificial surfaces?
Goiás ranks 24th and Moldova ranks 22nd of 56 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.

Individual pages

Share, cite or embed this page

Cite this page

Goiás vs Moldova: 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/goias/moldova-2/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://environment.statizoid.com/compare/land-cover-and-land-cover-change-gain-of-artificial-surfaces/goias/moldova-2/">Goiás vs Moldova: Land cover and land cover change — Gain of artificial surfaces</a> — Statizoid

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