Land cover and land cover change — Gain of artificial surfaces in Jilin
Jilin: Land cover and land cover change — Gain of artificial surfaces was 2,180 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Gain of artificial surfaces in Jilin, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
Jilin recorded 2,180 Square kilometres for land cover and land cover change — gain of artificial surfaces in 2022. That is the highest value across all 5 years on record.
The figure is up 14.7% on the previous year and up 271.3% over ten years.
Over the whole period, land cover and land cover change — gain of artificial surfaces in Jilin peaked at 2,180 Square kilometres in 2022 and was at its lowest, 164.91 Square kilometres, in 2005.
Jilin ranks 90th of 758 regions on this measure, in the top quarter.
Land cover and land cover change — Gain of artificial surfaces in Jilin, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 164.91 Square kilometres | — |
| 2010 | 587.14 Square kilometres | +256.0% |
| 2015 | 1,353 Square kilometres | +130.4% |
| 2020 | 1,900 Square kilometres | +40.4% |
| 2022 | 2,180 Square kilometres | +14.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 164.91 Square kilometres | 164.91 Square kilometres | 164.91 Square kilometres | 1 |
| 2010s | 970.05 Square kilometres | 587.14 Square kilometres | 1,353 Square kilometres | 2 |
| 2020s | 2,040 Square kilometres | 1,900 Square kilometres | 2,180 Square kilometres | 2 |
Countries ranked near Jilin
- 87 Namibia 398.04 Square kilometres compare
- 88 Kuwait 374.13 Square kilometres compare
- 89 Democratic Republic of the Congo 2,276 Square kilometres compare
- 89 Togo 373.76 Square kilometres compare
- 90 Paraguay 372.97 Square kilometres compare
- 91 Palestine, State of 372.15 Square kilometres compare
- 92 Jordan 360.68 Square kilometres compare
- 93 Malawi 358.88 Square kilometres compare
More environment data for Jilin
- Historical exposure to drought — Cropland soil moisture anomaly 1.25 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly 1.49 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly 3.51 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly 3.53 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 7.63 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 3,549 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 2,970 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — gain of artificial surfaces in Jilin?
- Land cover and land cover change — gain of artificial surfaces in Jilin was 2,180 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 Jilin?
- The highest recorded value was 2,180 Square kilometres in 2022.
- What is the lowest land cover and land cover change — gain of artificial surfaces recorded in Jilin?
- The lowest recorded value was 164.91 Square kilometres in 2005.
- How does Jilin rank for land cover and land cover change — gain of artificial surfaces?
- Jilin ranks 90th out of 758 regions with data for 2022.
- Is land cover and land cover change — gain of artificial surfaces rising or falling in Jilin?
- Over the last ten years it is up 271.3%. The long-run trend across the full record is volatile.
- Where does this Jilin 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