Myanmar vs Paraná: Land cover and land cover change — Loss of cropland
Land cover and land cover change — Loss of cropland over time
- Myanmar
- Paraná
How they compare
Myanmar currently reports 10,312 Square kilometres against 7,507 Square kilometres in Paraná, a difference of 2,805 Square kilometres.
That makes Myanmar's figure about 1.4 times Paraná's.
The two have swapped places 1 time across 5 shared years of data; in 2005 it was Paraná ahead.
Myanmar ranks 20th and Paraná ranks 19th of 169 countries.
Across the 3 decades both report, Myanmar averaged higher in 1 and Paraná in 2.
Head to head by decade
| Decade | Myanmar | Paraná | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1,332 Square kilometres | 1,496 Square kilometres | 163.98 Square kilometres | Paraná |
| 2010s | 2,145 Square kilometres | 3,206 Square kilometres | 1,061 Square kilometres | Paraná |
| 2020s | 9,715 Square kilometres | 6,346 Square kilometres | 3,369 Square kilometres | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher land cover and land cover change — loss of cropland, Myanmar or Paraná?
- Myanmar, at 10,312 Square kilometres against 7,507 Square kilometres in Paraná as of 2022.
- What is the difference in land cover and land cover change — loss of cropland between Myanmar and Paraná?
- 2,805 Square kilometres, with Myanmar ahead.
- How many years of comparable data are there for Myanmar and Paraná?
- 5 years are reported by both, from 2005 to 2022.
- How do Myanmar and Paraná rank globally for land cover and land cover change — loss of cropland?
- Myanmar ranks 20th and Paraná ranks 19th 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