Land cover and land cover change — Loss of cropland in Germany
Germany: Land cover and land cover change — Loss of cropland was 9,989 Square kilometres in 2022. ▲ Rising
Land cover and land cover change — Loss of cropland in Germany, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
In 2022, land cover and land cover change — loss of cropland in Germany stood at 9,989 Square kilometres. That is the highest value across all 5 years on record.
Compared with earlier readings it is up 5.3% on the previous year and up 40.1% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Germany peaked at 9,989 Square kilometres in 2022 and was at its lowest, 6,682 Square kilometres, in 2005.
That places Germany 23rd out of 169 countries with data for 2022, putting it in the top quarter.
Land cover and land cover change — Loss of cropland in Germany, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 6,682 Square kilometres | — |
| 2010 | 7,130 Square kilometres | +6.7% |
| 2015 | 7,809 Square kilometres | +9.5% |
| 2020 | 9,484 Square kilometres | +21.4% |
| 2022 | 9,989 Square kilometres | +5.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 6,682 Square kilometres | 6,682 Square kilometres | 6,682 Square kilometres | 1 |
| 2010s | 7,470 Square kilometres | 7,130 Square kilometres | 7,809 Square kilometres | 2 |
| 2020s | 9,737 Square kilometres | 9,484 Square kilometres | 9,989 Square kilometres | 2 |
Countries ranked near Germany
More environment data for Germany
- Historical exposure to drought — Land soil moisture anomaly -4.12 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -4.36 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.613 °C (2025)
- Temperature change 2.11 °C (2025)
- Sawnwood, non-coniferous — Production, annual growth rate -8.52 % change on previous year (2024)
- Sawnwood, non-coniferous — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Production, per capita 0.0099 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate -15.55 % change on previous year (2024)
- Sawnwood, non-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 Germany?
- Land cover and land cover change — loss of cropland in Germany was 9,989 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 Germany?
- The highest recorded value was 9,989 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Germany?
- The lowest recorded value was 6,682 Square kilometres in 2005.
- How does Germany rank for land cover and land cover change — loss of cropland?
- Germany ranks 23rd out of 169 countries with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Germany?
- Over the last ten years it is up 40.1%. The long-run trend across the full record is rising.
- Where does this Germany 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