Land cover and land cover change — Loss of cropland in Jilin
Jilin: Land cover and land cover change — Loss of cropland was 2,970 Square kilometres in 2022. ▲ Rising
Land cover and land cover change — Loss of cropland in Jilin, 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 — loss of cropland in Jilin is 2,970 Square kilometres, measured in 2022. That is the highest value across all 5 years on record.
The figure is up 13.0% on the previous year and up 161.7% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Jilin peaked at 2,970 Square kilometres in 2022 and was at its lowest, 605.63 Square kilometres, in 2005.
That places Jilin 107th out of 753 regions with data for 2022, putting it in the top quarter.
Land cover and land cover change — Loss of cropland in Jilin, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 605.63 Square kilometres | — |
| 2010 | 1,135 Square kilometres | +87.4% |
| 2015 | 1,811 Square kilometres | +59.5% |
| 2020 | 2,629 Square kilometres | +45.2% |
| 2022 | 2,970 Square kilometres | +13.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 605.63 Square kilometres | 605.63 Square kilometres | 605.63 Square kilometres | 1 |
| 2010s | 1,473 Square kilometres | 1,135 Square kilometres | 1,811 Square kilometres | 2 |
| 2020s | 2,799 Square kilometres | 2,629 Square kilometres | 2,970 Square kilometres | 2 |
Countries ranked near Jilin
- 104 Tunisia 915.39 Square kilometres compare
- 105 Niger 903.72 Square kilometres compare
- 106 Tajikistan 871.2 Square kilometres compare
- 107 Saudi Arabia 845.11 Square kilometres compare
- 108 El Salvador 826.15 Square kilometres compare
- 109 Puerto Rico 784.93 Square kilometres compare
- 110 Libya 764.16 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 — Gain of artificial surfaces 2,180 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Jilin?
- Land cover and land cover change — loss of cropland in Jilin was 2,970 Square kilometres in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest land cover and land cover change — loss of cropland recorded in Jilin?
- The highest recorded value was 2,970 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Jilin?
- The lowest recorded value was 605.63 Square kilometres in 2005.
- How does Jilin rank for land cover and land cover change — loss of cropland?
- Jilin ranks 107th out of 753 regions with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Jilin?
- Over the last ten years it is up 161.7%. The long-run trend across the full record is rising.
- 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 — Loss of cropland. 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