Land cover and land cover change — Loss of cropland in Grand Est
Grand Est: Land cover and land cover change — Loss of cropland was 1,047 Square kilometres in 2022. ▲ Rising
Land cover and land cover change — Loss of cropland in Grand Est, 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 Grand Est stood at 1,047 Square kilometres. That is the highest value across all 5 years on record.
Compared with earlier readings it is up 7.7% on the previous year and up 35.8% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Grand Est peaked at 1,047 Square kilometres in 2022 and was at its lowest, 653.5 Square kilometres, in 2005.
Grand Est ranks 231st of 753 regions on this measure, in the middle of the range.
Land cover and land cover change — Loss of cropland in Grand Est, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 653.5 Square kilometres | — |
| 2010 | 770.95 Square kilometres | +18.0% |
| 2015 | 887.31 Square kilometres | +15.1% |
| 2020 | 971.91 Square kilometres | +9.5% |
| 2022 | 1,047 Square kilometres | +7.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 653.5 Square kilometres | 653.5 Square kilometres | 653.5 Square kilometres | 1 |
| 2010s | 829.13 Square kilometres | 770.95 Square kilometres | 887.31 Square kilometres | 2 |
| 2020s | 1,009 Square kilometres | 971.91 Square kilometres | 1,047 Square kilometres | 2 |
More environment data for Grand Est
- Historical exposure to drought — Cropland soil moisture anomaly -2.19 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -2.34 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly 2.72 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly 5.88 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 2.82 Percentage of agricultural land area (2022)
- Road, rail and navigable inland waterways networks by NUTS 2 region 1,486 Kilometre (2024)
- Land cover and land cover change — Grassland 8,430 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 759.06 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Grand Est?
- Land cover and land cover change — loss of cropland in Grand Est was 1,047 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 Grand Est?
- The highest recorded value was 1,047 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Grand Est?
- The lowest recorded value was 653.5 Square kilometres in 2005.
- How does Grand Est rank for land cover and land cover change — loss of cropland?
- Grand Est ranks 231st out of 753 regions with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Grand Est?
- Over the last ten years it is up 35.8%. The long-run trend across the full record is rising.
- Where does this Grand Est 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.
Download this data
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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