Land cover and land cover change — Gain of artificial surfaces in Tibet
Tibet: Land cover and land cover change — Gain of artificial surfaces was 150.74 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Gain of artificial surfaces in Tibet, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
In 2022, land cover and land cover change — gain of artificial surfaces in Tibet stood at 150.74 Square kilometres. That is the highest value across all 5 years on record.
Compared with earlier readings it is up 17.1% on the previous year and up 704.9% over ten years.
Over the whole period, land cover and land cover change — gain of artificial surfaces in Tibet peaked at 150.74 Square kilometres in 2022 and was at its lowest, 4.73 Square kilometres, in 2005.
That places Tibet 397th out of 758 groups with data for 2022, putting it in the middle of the range.
Land cover and land cover change — Gain of artificial surfaces in Tibet, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 4.73 Square kilometres | — |
| 2010 | 18.73 Square kilometres | +295.9% |
| 2015 | 55.42 Square kilometres | +195.9% |
| 2020 | 128.75 Square kilometres | +132.3% |
| 2022 | 150.74 Square kilometres | +17.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 4.73 Square kilometres | 4.73 Square kilometres | 4.73 Square kilometres | 1 |
| 2010s | 37.08 Square kilometres | 18.73 Square kilometres | 55.42 Square kilometres | 2 |
| 2020s | 139.75 Square kilometres | 128.75 Square kilometres | 150.74 Square kilometres | 2 |
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 — Loss of cropland 4,335 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — gain of artificial surfaces in Tibet?
- Land cover and land cover change — gain of artificial surfaces in Tibet was 150.74 Square kilometres in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest land cover and land cover change — gain of artificial surfaces recorded in Tibet?
- The highest recorded value was 150.74 Square kilometres in 2022.
- What is the lowest land cover and land cover change — gain of artificial surfaces recorded in Tibet?
- The lowest recorded value was 4.73 Square kilometres in 2005.
- How does Tibet rank for land cover and land cover change — gain of artificial surfaces?
- Tibet ranks 397th out of 758 groups with data for 2022.
- Is land cover and land cover change — gain of artificial surfaces rising or falling in Tibet?
- Over the last ten years it is up 704.9%. The long-run trend across the full record is volatile.
- 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 — Gain of artificial surfaces. 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