Chad vs Roraima: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- Chad
- Roraima
How they compare
Chad currently reports 4,281 Square kilometres against 547.29 Square kilometres in Roraima, a difference of 3,734 Square kilometres.
That makes Chad's figure about 7.8 times Roraima's.
Across all 5 years both countries report, Chad has been ahead every year.
Chad ranks 48th and Roraima ranks 45th of 169 countries.
Chad has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Chad | Roraima | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1,060 Square kilometres | 210.2 Square kilometres | 849.86 Square kilometres | Chad |
| 2010s | 2,225 Square kilometres | 449.9 Square kilometres | 1,775 Square kilometres | Chad |
| 2020s | 4,031 Square kilometres | 527.86 Square kilometres | 3,503 Square kilometres | Chad |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, Chad or Roraima?
- Chad, at 4,281 Square kilometres against 547.29 Square kilometres in Roraima as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between Chad and Roraima?
- 3,734 Square kilometres, with Chad ahead.
- How many years of comparable data are there for Chad and Roraima?
- 5 years are reported by both, from 2005 to 2022.
- How do Chad and Roraima rank globally for land cover and land cover change — loss of cropland?
- Chad ranks 48th and Roraima ranks 45th 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