Congo vs Myanmar: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- Congo
- Myanmar
How they compare
Myanmar currently reports 10,312 Square kilometres against 10,152 Square kilometres in Congo, a difference of 160 Square kilometres.
The two have swapped places 1 time across 5 shared years of data; in 2005 it was Congo ahead.
Congo ranks 22nd and Myanmar ranks 20th of 169 countries.
Congo has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Congo | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 3,650 Square kilometres | 1,332 Square kilometres | 2,318 Square kilometres | Congo |
| 2010s | 7,621 Square kilometres | 2,145 Square kilometres | 5,476 Square kilometres | Congo |
| 2020s | 9,945 Square kilometres | 9,715 Square kilometres | 230.71 Square kilometres | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, Congo or Myanmar?
- Myanmar, at 10,312 Square kilometres against 10,152 Square kilometres in Congo as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between Congo and Myanmar?
- 160 Square kilometres, with Myanmar ahead.
- How many years of comparable data are there for Congo and Myanmar?
- 5 years are reported by both, from 2005 to 2022.
- How do Congo and Myanmar rank globally for land cover and land cover change — loss of cropland?
- Congo ranks 22nd and Myanmar ranks 20th 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