Land cover and land cover change — Loss of cropland in Rwanda
Rwanda: Land cover and land cover change — Loss of cropland was 715 Square kilometres in 2022. ◆ Volatile
Land cover and land cover change — Loss of cropland in Rwanda, 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 Rwanda is 715 Square kilometres, measured in 2022. That is the highest value across all 5 years on record.
The figure is up 6.1% on the previous year and up 248.2% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Rwanda peaked at 715 Square kilometres in 2022 and was at its lowest, 108.98 Square kilometres, in 2005.
That places Rwanda 114th out of 169 countries with data for 2022, putting it in the middle of the range.
Land cover and land cover change — Loss of cropland in Rwanda, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 108.98 Square kilometres | — |
| 2010 | 205.34 Square kilometres | +88.4% |
| 2015 | 238.47 Square kilometres | +16.1% |
| 2020 | 673.7 Square kilometres | +182.5% |
| 2022 | 715 Square kilometres | +6.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 108.98 Square kilometres | 108.98 Square kilometres | 108.98 Square kilometres | 1 |
| 2010s | 221.9 Square kilometres | 205.34 Square kilometres | 238.47 Square kilometres | 2 |
| 2020s | 694.35 Square kilometres | 673.7 Square kilometres | 715 Square kilometres | 2 |
Countries ranked near Rwanda
More environment data for Rwanda
- Historical exposure to drought — Land soil moisture anomaly -5.64 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -5.05 Percentage change (2025)
- Standard Deviation, annual growth rate -31.63 % change on previous year (2013)
- Standard Deviation 0.268 °C (2013)
- Temperature change 1.35 °C (2013)
- Sawnwood, non-coniferous — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood, non-coniferous — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Production, per capita 0.006 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate 138.09 % change on previous year (2023)
- Sawnwood, non-coniferous — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Rwanda?
- Land cover and land cover change — loss of cropland in Rwanda was 715 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 Rwanda?
- The highest recorded value was 715 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Rwanda?
- The lowest recorded value was 108.98 Square kilometres in 2005.
- How does Rwanda rank for land cover and land cover change — loss of cropland?
- Rwanda ranks 114th out of 169 countries with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Rwanda?
- Over the last ten years it is up 248.2%. The long-run trend across the full record is volatile.
- Where does this Rwanda 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.
Download this data
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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