Caldas vs Eswatini: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- Caldas
- Eswatini
How they compare
Caldas currently reports 234.75 Square kilometres against 170.28 Square kilometres in Eswatini, a difference of 64.47 Square kilometres.
That makes Caldas's figure about 1.4 times Eswatini's.
Across all 5 years both countries report, Caldas has been ahead every year.
Caldas ranks 49th and Eswatini ranks 52nd of 57 groups.
Caldas has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Caldas | Eswatini | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 76.19 Square kilometres | 44.32 Square kilometres | 31.87 Square kilometres | Caldas |
| 2010s | 189.69 Square kilometres | 114.93 Square kilometres | 74.77 Square kilometres | Caldas |
| 2020s | 235.36 Square kilometres | 166.91 Square kilometres | 68.45 Square kilometres | Caldas |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, Caldas or Eswatini?
- Caldas, at 234.75 Square kilometres against 170.28 Square kilometres in Eswatini as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between Caldas and Eswatini?
- 64.47 Square kilometres, with Caldas ahead.
- How many years of comparable data are there for Caldas and Eswatini?
- 5 years are reported by both, from 2005 to 2022.
- How do Caldas and Eswatini rank globally for land cover and land cover change — loss of cropland?
- Caldas ranks 49th and Eswatini ranks 52nd of 57 groups.
- 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