Land cover and land cover change — Loss of cropland in Brazil
Brazil: Land cover and land cover change — Loss of cropland was 98,263 Square kilometres in 2022. ▲ Rising
Land cover and land cover change — Loss of cropland in Brazil, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
Brazil recorded 98,263 Square kilometres for land cover and land cover change — loss of cropland in 2022. That is the highest value across all 5 years on record.
The figure is up 23.9% on the previous year and up 88.3% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Brazil peaked at 98,263 Square kilometres in 2022 and was at its lowest, 26,354 Square kilometres, in 2005.
Brazil ranks 3rd of 169 countries on this measure, in the top 10%.
Land cover and land cover change — Loss of cropland in Brazil, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 26,354 Square kilometres | — |
| 2010 | 52,195 Square kilometres | +98.1% |
| 2015 | 63,093 Square kilometres | +20.9% |
| 2020 | 79,321 Square kilometres | +25.7% |
| 2022 | 98,263 Square kilometres | +23.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 26,354 Square kilometres | 26,354 Square kilometres | 26,354 Square kilometres | 1 |
| 2010s | 57,644 Square kilometres | 52,195 Square kilometres | 63,093 Square kilometres | 2 |
| 2020s | 88,792 Square kilometres | 79,321 Square kilometres | 98,263 Square kilometres | 2 |
Countries ranked near Brazil
More environment data for Brazil
- Historical exposure to drought — Land soil moisture anomaly -6.93 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -8.24 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.221 °C (2025)
- Temperature change 1.36 °C (2025)
- Sawlogs and veneer logs — Production, annual growth rate 9.73 % change on previous year (2024)
- Sawlogs and veneer logs, non-coniferous — Production, annual growth 9.73 % change on previous year (2024)
- Other industrial roundwood — Production, annual growth rate 9.73 % change on previous year (2024)
- Other industrial roundwood, non-coniferous (production) — Production 9.74 % change on previous year (2024)
- Wood charcoal — Production, annual growth rate 0.4335 % change on previous year (2024)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Brazil?
- Land cover and land cover change — loss of cropland in Brazil was 98,263 Square kilometres in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest land cover and land cover change — loss of cropland recorded in Brazil?
- The highest recorded value was 98,263 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Brazil?
- The lowest recorded value was 26,354 Square kilometres in 2005.
- How does Brazil rank for land cover and land cover change — loss of cropland?
- Brazil ranks 3rd out of 169 countries with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Brazil?
- Over the last ten years it is up 88.3%. The long-run trend across the full record is rising.
- Where does this Brazil data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Land cover and land cover change — Loss of cropland. Statizoid updates them automatically from the source API.
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About this data
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