Land cover and land cover change — Loss of cropland in Myanmar
Myanmar: Land cover and land cover change — Loss of cropland was 10,312 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Loss of cropland in Myanmar, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
The most recent figure for land cover and land cover change — loss of cropland in Myanmar is 10,312 Square kilometres, measured in 2022. That is the highest value across all 5 years on record.
Compared with earlier readings it is up 13.1% on the previous year and up 496.2% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Myanmar peaked at 10,312 Square kilometres in 2022 and was at its lowest, 1,332 Square kilometres, in 2005.
Myanmar ranks 20th of 169 countries on this measure, in the top quarter.
Land cover and land cover change — Loss of cropland in Myanmar, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 1,332 Square kilometres | — |
| 2010 | 1,730 Square kilometres | +29.9% |
| 2015 | 2,561 Square kilometres | +48.0% |
| 2020 | 9,118 Square kilometres | +256.1% |
| 2022 | 10,312 Square kilometres | +13.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1,332 Square kilometres | 1,332 Square kilometres | 1,332 Square kilometres | 1 |
| 2010s | 2,145 Square kilometres | 1,730 Square kilometres | 2,561 Square kilometres | 2 |
| 2020s | 9,715 Square kilometres | 9,118 Square kilometres | 10,312 Square kilometres | 2 |
Countries ranked near Myanmar
More environment data for Myanmar
- Historical exposure to drought — Land soil moisture anomaly -0.016 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 0.9805 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.243 °C (2025)
- Temperature change 1.43 °C (2025)
- Sawnwood — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Export quantity, per capita 0.0055 m3 per person (2024)
- Sawnwood — Export value, annual growth rate 0 % change on previous year (2024)
- Sawnwood — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
- Sawnwood — Export value, per capita 0.0033 1000 USD per person (2024)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Myanmar?
- Land cover and land cover change — loss of cropland in Myanmar was 10,312 Square kilometres in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest land cover and land cover change — loss of cropland recorded in Myanmar?
- The highest recorded value was 10,312 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Myanmar?
- The lowest recorded value was 1,332 Square kilometres in 2005.
- How does Myanmar rank for land cover and land cover change — loss of cropland?
- Myanmar ranks 20th out of 169 countries with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Myanmar?
- Over the last ten years it is up 496.2%. The long-run trend across the full record is volatile.
- Where does this Myanmar data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Land cover and land cover change — Loss of cropland. Statizoid updates them automatically from the source API.
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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