Land cover and land cover change — Loss of cropland in Jiangxi
Jiangxi: Land cover and land cover change — Loss of cropland was 3,427 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Loss of cropland in Jiangxi, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
Jiangxi recorded 3,427 Square kilometres for land cover and land cover change — loss of cropland in 2022. That is the highest value across all 5 years on record.
Compared with earlier readings it is up 9.5% on the previous year and up 163.3% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Jiangxi peaked at 3,427 Square kilometres in 2022 and was at its lowest, 626.04 Square kilometres, in 2005.
Jiangxi ranks 98th of 753 regions on this measure, in the top quarter.
Land cover and land cover change — Loss of cropland in Jiangxi, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 626.04 Square kilometres | — |
| 2010 | 1,302 Square kilometres | +107.9% |
| 2015 | 1,968 Square kilometres | +51.2% |
| 2020 | 3,128 Square kilometres | +58.9% |
| 2022 | 3,427 Square kilometres | +9.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 626.04 Square kilometres | 626.04 Square kilometres | 626.04 Square kilometres | 1 |
| 2010s | 1,635 Square kilometres | 1,302 Square kilometres | 1,968 Square kilometres | 2 |
| 2020s | 3,277 Square kilometres | 3,128 Square kilometres | 3,427 Square kilometres | 2 |
Countries ranked near Jiangxi
- 95 North Macedonia 1,270 Square kilometres compare
- 96 Central African Republic 1,264 Square kilometres compare
- 97 Korea, Democratic People's Republic of 1,166 Square kilometres compare
- 98 Eritrea 1,131 Square kilometres compare
- 99 Austria 1,121 Square kilometres compare
- 100 Namibia 1,101 Square kilometres compare
- 101 Turkmenistan 1,073 Square kilometres compare
More environment data for Jiangxi
- Historical exposure to drought — Cropland soil moisture anomaly -5.17 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -4.93 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -5.15 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -2.3 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 6.64 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 259.86 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 2,496 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Jiangxi?
- Land cover and land cover change — loss of cropland in Jiangxi was 3,427 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 Jiangxi?
- The highest recorded value was 3,427 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Jiangxi?
- The lowest recorded value was 626.04 Square kilometres in 2005.
- How does Jiangxi rank for land cover and land cover change — loss of cropland?
- Jiangxi ranks 98th out of 753 regions with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Jiangxi?
- Over the last ten years it is up 163.3%. The long-run trend across the full record is volatile.
- Where does this Jiangxi 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