Land cover and land cover change — Loss of cropland in Tibet
Tibet: Land cover and land cover change — Loss of cropland was 4,335 Square kilometres in 2022. ▲ Rising
Land cover and land cover change — Loss of cropland in Tibet, 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 Tibet is 4,335 Square kilometres, measured in 2022. That is the highest value across all 5 years on record.
The figure is up 2.3% on the previous year and up 16.3% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Tibet peaked at 4,335 Square kilometres in 2022 and was at its lowest, 3,301 Square kilometres, in 2005.
Tibet ranks 94th of 753 groups on this measure, in the top quarter.
Land cover and land cover change — Loss of cropland in Tibet, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 3,301 Square kilometres | — |
| 2010 | 3,726 Square kilometres | +12.9% |
| 2015 | 3,985 Square kilometres | +6.9% |
| 2020 | 4,236 Square kilometres | +6.3% |
| 2022 | 4,335 Square kilometres | +2.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 3,301 Square kilometres | 3,301 Square kilometres | 3,301 Square kilometres | 1 |
| 2010s | 3,856 Square kilometres | 3,726 Square kilometres | 3,985 Square kilometres | 2 |
| 2020s | 4,286 Square kilometres | 4,236 Square kilometres | 4,335 Square kilometres | 2 |
Countries ranked near Tibet
- 91 New Zealand 1,345 Square kilometres compare
- 92 Liberia 1,308 Square kilometres compare
- 93 Albania 1,285 Square kilometres compare
- 94 Bosnia and Herzegovina 1,284 Square kilometres compare
- 95 North Macedonia 1,270 Square kilometres compare
- 96 Central African Republic 1,264 Square kilometres compare
- 97 Korea, Democratic People's Republic of 1,166 Square kilometres compare
More environment data for Tibet
- Historical exposure to drought — Cropland soil moisture anomaly 2.53 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly 0.688 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -0.4677 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly 0.9844 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 2.35 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 805,621 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 150.74 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Tibet?
- Land cover and land cover change — loss of cropland in Tibet was 4,335 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 Tibet?
- The highest recorded value was 4,335 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Tibet?
- The lowest recorded value was 3,301 Square kilometres in 2005.
- How does Tibet rank for land cover and land cover change — loss of cropland?
- Tibet ranks 94th out of 753 groups with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Tibet?
- Over the last ten years it is up 16.3%. The long-run trend across the full record is rising.
- Where does this Tibet 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