Eritrea vs Jiangxi: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- Eritrea
- Jiangxi
How they compare
Jiangxi currently reports 3,427 Square kilometres against 1,131 Square kilometres in Eritrea, a difference of 2,296 Square kilometres.
That makes Jiangxi's figure about 3.0 times Eritrea's.
Across all 5 years both countries report, Jiangxi has been ahead every year.
Eritrea ranks 98th and Jiangxi ranks 98th of 169 countries.
Jiangxi has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Eritrea | Jiangxi | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 45.61 Square kilometres | 626.04 Square kilometres | 580.43 Square kilometres | Jiangxi |
| 2010s | 181.47 Square kilometres | 1,635 Square kilometres | 1,454 Square kilometres | Jiangxi |
| 2020s | 1,070 Square kilometres | 3,277 Square kilometres | 2,207 Square kilometres | Jiangxi |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, Eritrea or Jiangxi?
- Jiangxi, at 3,427 Square kilometres against 1,131 Square kilometres in Eritrea as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between Eritrea and Jiangxi?
- 2,296 Square kilometres, with Jiangxi ahead.
- How many years of comparable data are there for Eritrea and Jiangxi?
- 5 years are reported by both, from 2005 to 2022.
- How do Eritrea and Jiangxi rank globally for land cover and land cover change — loss of cropland?
- Eritrea ranks 98th and Jiangxi ranks 98th of 169 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Land cover and land cover change — Loss of cropland. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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