Land cover and land cover change — Loss of cropland in Jiangsu
Jiangsu: Land cover and land cover change — Loss of cropland was 9,016 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Loss of cropland in Jiangsu, 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 Jiangsu is 9,016 Square kilometres, measured in 2022. That is the highest value across all 5 years on record.
The figure is up 16.6% on the previous year and up 161.5% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Jiangsu peaked at 9,016 Square kilometres in 2022 and was at its lowest, 1,047 Square kilometres, in 2005.
Jiangsu ranks 73rd of 753 regions on this measure, in the top 10%.
Land cover and land cover change — Loss of cropland in Jiangsu, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 1,047 Square kilometres | — |
| 2010 | 3,448 Square kilometres | +229.4% |
| 2015 | 6,210 Square kilometres | +80.1% |
| 2020 | 7,730 Square kilometres | +24.5% |
| 2022 | 9,016 Square kilometres | +16.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1,047 Square kilometres | 1,047 Square kilometres | 1,047 Square kilometres | 1 |
| 2010s | 4,829 Square kilometres | 3,448 Square kilometres | 6,210 Square kilometres | 2 |
| 2020s | 8,373 Square kilometres | 7,730 Square kilometres | 9,016 Square kilometres | 2 |
Countries ranked near Jiangsu
- 70 Morocco 2,578 Square kilometres compare
- 70 Viet Nam 9,669 Square kilometres compare
- 71 Hungary 2,549 Square kilometres compare
- 72 Kyrgyzstan 2,547 Square kilometres compare
- 73 Nepal 2,261 Square kilometres compare
- 74 Vanuatu 2,230 Square kilometres compare
- 75 Gabon 2,192 Square kilometres compare
- 76 Somalia 2,160 Square kilometres compare
More environment data for Jiangsu
- Historical exposure to drought — Cropland soil moisture anomaly -5.72 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -5.65 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -0.5867 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly 0.0457 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 33.75 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 697 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 9,815 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Jiangsu?
- Land cover and land cover change — loss of cropland in Jiangsu was 9,016 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 Jiangsu?
- The highest recorded value was 9,016 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Jiangsu?
- The lowest recorded value was 1,047 Square kilometres in 2005.
- How does Jiangsu rank for land cover and land cover change — loss of cropland?
- Jiangsu ranks 73rd out of 753 regions with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Jiangsu?
- Over the last ten years it is up 161.5%. The long-run trend across the full record is volatile.
- Where does this Jiangsu 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
CSV · JSON — 5 observations, free to reuse under OECD Terms and Conditions (attribution required).
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