Land cover and land cover change — Gain of artificial surfaces in Shanxi
Shanxi: Land cover and land cover change — Gain of artificial surfaces was 4,131 Square kilometres in 2022. ▲ Rising
Land cover and land cover change — Gain of artificial surfaces in Shanxi, 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 Shanxi is 4,131 Square kilometres, measured in 2022. That is the highest value across all 5 years on record.
Compared with earlier readings it is up 6.6% on the previous year and up 107.6% over ten years.
Over the whole period, land cover and land cover change — gain of artificial surfaces in Shanxi peaked at 4,131 Square kilometres in 2022 and was at its lowest, 1,111 Square kilometres, in 2005.
That places Shanxi 71st out of 758 regions with data for 2022, putting it in the top 10%.
Land cover and land cover change — Gain of artificial surfaces in Shanxi, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 1,111 Square kilometres | — |
| 2010 | 1,989 Square kilometres | +79.0% |
| 2015 | 2,771 Square kilometres | +39.3% |
| 2020 | 3,875 Square kilometres | +39.8% |
| 2022 | 4,131 Square kilometres | +6.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1,111 Square kilometres | 1,111 Square kilometres | 1,111 Square kilometres | 1 |
| 2010s | 2,380 Square kilometres | 1,989 Square kilometres | 2,771 Square kilometres | 2 |
| 2020s | 4,003 Square kilometres | 3,875 Square kilometres | 4,131 Square kilometres | 2 |
Countries ranked near Shanxi
- 68 Afghanistan 644.86 Square kilometres compare
- 69 Bulgaria 604.38 Square kilometres compare
- 70 Uganda 602.91 Square kilometres compare
- 71 Denmark 580.29 Square kilometres compare
- 72 Tunisia 563.36 Square kilometres compare
- 73 Botswana 557.07 Square kilometres compare
- 74 Burkina Faso 551.67 Square kilometres compare
More environment data for Shanxi
- Historical exposure to drought — Cropland soil moisture anomaly -0.0181 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -0.2784 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -3.31 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -2.29 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 2.13 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 46,816 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 5,610 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — gain of artificial surfaces in Shanxi?
- Land cover and land cover change — gain of artificial surfaces in Shanxi was 4,131 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 Shanxi?
- The highest recorded value was 4,131 Square kilometres in 2022.
- What is the lowest land cover and land cover change — gain of artificial surfaces recorded in Shanxi?
- The lowest recorded value was 1,111 Square kilometres in 2005.
- How does Shanxi rank for land cover and land cover change — gain of artificial surfaces?
- Shanxi ranks 71st out of 758 regions with data for 2022.
- Is land cover and land cover change — gain of artificial surfaces rising or falling in Shanxi?
- Over the last ten years it is up 107.6%. The long-run trend across the full record is rising.
- Where does this Shanxi 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