Land cover and land cover change — Gain of artificial surfaces in Gansu
Gansu: Land cover and land cover change — Gain of artificial surfaces was 1,479 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Gain of artificial surfaces in Gansu, 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 — gain of artificial surfaces in Gansu is 1,479 Square kilometres, measured in 2022. That is the highest value across all 5 years on record.
That represents a change of up 21.4% on the previous year and up 253.7% over ten years.
Over the whole period, land cover and land cover change — gain of artificial surfaces in Gansu peaked at 1,479 Square kilometres in 2022 and was at its lowest, 176.26 Square kilometres, in 2005.
That places Gansu 109th out of 758 regions with data for 2022, putting it in the top quarter.
Land cover and land cover change — Gain of artificial surfaces in Gansu, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 176.26 Square kilometres | — |
| 2010 | 418.1 Square kilometres | +137.2% |
| 2015 | 747.79 Square kilometres | +78.9% |
| 2020 | 1,218 Square kilometres | +62.9% |
| 2022 | 1,479 Square kilometres | +21.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 176.26 Square kilometres | 176.26 Square kilometres | 176.26 Square kilometres | 1 |
| 2010s | 582.95 Square kilometres | 418.1 Square kilometres | 747.79 Square kilometres | 2 |
| 2020s | 1,348 Square kilometres | 1,218 Square kilometres | 1,479 Square kilometres | 2 |
Countries ranked near Gansu
- 106 Uruguay 259.25 Square kilometres compare
- 107 Haiti 252.25 Square kilometres compare
- 108 Sierra Leone 251.67 Square kilometres compare
- 109 Cyprus 247.11 Square kilometres compare
- 110 Cuba 244.72 Square kilometres compare
- 111 Somalia 242.37 Square kilometres compare
- 112 Panama 222.93 Square kilometres compare
More environment data for Gansu
- Historical exposure to drought — Cropland soil moisture anomaly -0.2941 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -0.2959 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -5.47 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -1.72 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 1.84 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 156,398 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 6,999 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — gain of artificial surfaces in Gansu?
- Land cover and land cover change — gain of artificial surfaces in Gansu was 1,479 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 Gansu?
- The highest recorded value was 1,479 Square kilometres in 2022.
- What is the lowest land cover and land cover change — gain of artificial surfaces recorded in Gansu?
- The lowest recorded value was 176.26 Square kilometres in 2005.
- How does Gansu rank for land cover and land cover change — gain of artificial surfaces?
- Gansu ranks 109th out of 758 regions with data for 2022.
- Is land cover and land cover change — gain of artificial surfaces rising or falling in Gansu?
- Over the last ten years it is up 253.7%. The long-run trend across the full record is volatile.
- Where does this Gansu 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