Comoros vs Lithuania: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- Comoros
- Lithuania
How they compare
Lithuania currently reports 1,832 Square kilometres against 24.76 Square kilometres in Comoros, a difference of 1,807 Square kilometres.
That makes Lithuania's figure about 74.0 times Comoros's.
Across all 5 years both countries report, Lithuania has been ahead every year.
Comoros ranks 146th and Lithuania ranks 143rd of 169 countries.
Lithuania has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Comoros | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 19.08 Square kilometres | 580 Square kilometres | 560.91 Square kilometres | Lithuania |
| 2010s | 20.57 Square kilometres | 1,111 Square kilometres | 1,090 Square kilometres | Lithuania |
| 2020s | 22.64 Square kilometres | 1,802 Square kilometres | 1,779 Square kilometres | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, Comoros or Lithuania?
- Lithuania, at 1,832 Square kilometres against 24.76 Square kilometres in Comoros as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between Comoros and Lithuania?
- 1,807 Square kilometres, with Lithuania ahead.
- How many years of comparable data are there for Comoros and Lithuania?
- 5 years are reported by both, from 2005 to 2022.
- How do Comoros and Lithuania rank globally for land cover and land cover change — loss of cropland?
- Comoros ranks 146th and Lithuania ranks 143rd 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