Land cover and land cover change — Gain of artificial surfaces in Sichuan
Sichuan: Land cover and land cover change — Gain of artificial surfaces was 2,936 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Gain of artificial surfaces in Sichuan, 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 Sichuan stood at 2,936 Square kilometres. That is the highest value across all 5 years on record.
The figure is up 13.8% on the previous year and up 204.7% over ten years.
Over the whole period, land cover and land cover change — gain of artificial surfaces in Sichuan peaked at 2,936 Square kilometres in 2022 and was at its lowest, 269.77 Square kilometres, in 2005.
Sichuan ranks 79th of 758 regions on this measure, in the top quarter.
Land cover and land cover change — Gain of artificial surfaces in Sichuan, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 269.77 Square kilometres | — |
| 2010 | 963.83 Square kilometres | +257.3% |
| 2015 | 1,826 Square kilometres | +89.5% |
| 2020 | 2,581 Square kilometres | +41.3% |
| 2022 | 2,936 Square kilometres | +13.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 269.77 Square kilometres | 269.77 Square kilometres | 269.77 Square kilometres | 1 |
| 2010s | 1,395 Square kilometres | 963.83 Square kilometres | 1,826 Square kilometres | 2 |
| 2020s | 2,758 Square kilometres | 2,581 Square kilometres | 2,936 Square kilometres | 2 |
Countries ranked near Sichuan
- 76 Benin 539.89 Square kilometres compare
- 77 Mali 497.98 Square kilometres compare
- 78 North Korea 486.6 Square kilometres compare
- 78 Viet Nam 3,135 Square kilometres compare
- 79 Sri Lanka 458.14 Square kilometres compare
- 80 Guatemala 427.78 Square kilometres compare
- 81 United Arab Emirates 425.54 Square kilometres compare
- 82 Georgia 418.8 Square kilometres compare
More environment data for Sichuan
- Historical exposure to drought — Cropland soil moisture anomaly -1.67 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -0.7457 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -6.84 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -2.16 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 2.66 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 144,108 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 8,535 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — gain of artificial surfaces in Sichuan?
- Land cover and land cover change — gain of artificial surfaces in Sichuan was 2,936 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 Sichuan?
- The highest recorded value was 2,936 Square kilometres in 2022.
- What is the lowest land cover and land cover change — gain of artificial surfaces recorded in Sichuan?
- The lowest recorded value was 269.77 Square kilometres in 2005.
- How does Sichuan rank for land cover and land cover change — gain of artificial surfaces?
- Sichuan ranks 79th out of 758 regions with data for 2022.
- Is land cover and land cover change — gain of artificial surfaces rising or falling in Sichuan?
- Over the last ten years it is up 204.7%. The long-run trend across the full record is volatile.
- Where does this Sichuan 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.
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