Gujarat vs Namibia: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- Gujarat
- Namibia
How they compare
Gujarat currently reports 3,379 Square kilometres against 1,101 Square kilometres in Namibia, a difference of 2,278 Square kilometres.
That makes Gujarat's figure about 3.1 times Namibia's.
Across all 5 years both countries report, Gujarat has been ahead every year.
Gujarat ranks 100th and Namibia ranks 100th of 753 regions.
Gujarat has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Gujarat | Namibia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 483.98 Square kilometres | 185.66 Square kilometres | 298.31 Square kilometres | Gujarat |
| 2010s | 1,152 Square kilometres | 330.23 Square kilometres | 821.3 Square kilometres | Gujarat |
| 2020s | 2,899 Square kilometres | 877.07 Square kilometres | 2,022 Square kilometres | Gujarat |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, Gujarat or Namibia?
- Gujarat, at 3,379 Square kilometres against 1,101 Square kilometres in Namibia as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between Gujarat and Namibia?
- 2,278 Square kilometres, with Gujarat ahead.
- How many years of comparable data are there for Gujarat and Namibia?
- 5 years are reported by both, from 2005 to 2022.
- How do Gujarat and Namibia rank globally for land cover and land cover change — loss of cropland?
- Gujarat ranks 100th and Namibia ranks 100th of 753 regions.
- 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