Land cover and land cover change — Loss of cropland in China
China: Land cover and land cover change — Loss of cropland was 187,003 Square kilometres in 2022. ▲ Rising
Land cover and land cover change — Loss of cropland in China, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
The most recent figure for land cover and land cover change — loss of cropland in China is 187,003 Square kilometres, measured in 2022. That is the highest value across all 5 years on record.
That represents a change of up 10.4% on the previous year and up 142.2% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in China peaked at 187,003 Square kilometres in 2022 and was at its lowest, 45,103 Square kilometres, in 2005.
That places China 2nd out of 169 countries with data for 2022, putting it in the top 10%.
Land cover and land cover change — Loss of cropland in China, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 45,103 Square kilometres | — |
| 2010 | 77,210 Square kilometres | +71.2% |
| 2015 | 107,691 Square kilometres | +39.5% |
| 2020 | 169,369 Square kilometres | +57.3% |
| 2022 | 187,003 Square kilometres | +10.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 45,103 Square kilometres | 45,103 Square kilometres | 45,103 Square kilometres | 1 |
| 2010s | 92,451 Square kilometres | 77,210 Square kilometres | 107,691 Square kilometres | 2 |
| 2020s | 178,186 Square kilometres | 169,369 Square kilometres | 187,003 Square kilometres | 2 |
Countries ranked near China
More environment data for China
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.279 °C (2025)
- Temperature change 1.92 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0002 m3 per person (2024)
- Sawnwood — Export value, annual growth rate 3.43 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0001 1000 USD per person (2024)
- Sawnwood, coniferous — Import quantity, annual growth rate -8.66 % change on previous year (2024)
- Sawnwood, coniferous — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in China?
- Land cover and land cover change — loss of cropland in China was 187,003 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 China?
- The highest recorded value was 187,003 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in China?
- The lowest recorded value was 45,103 Square kilometres in 2005.
- How does China rank for land cover and land cover change — loss of cropland?
- China ranks 2nd out of 169 countries with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in China?
- Over the last ten years it is up 142.2%. The long-run trend across the full record is rising.
- Where does this China 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