Land cover and land cover change — Loss of cropland in Congo
Congo: Land cover and land cover change — Loss of cropland was 10,152 Square kilometres in 2022. ▲ Rising
Land cover and land cover change — Loss of cropland in Congo, 2005–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
In 2022, land cover and land cover change — loss of cropland in Congo stood at 10,152 Square kilometres. That is the highest value across all 5 years on record.
That represents a change of up 4.2% on the previous year and up 45.4% over ten years.
Over the whole period, land cover and land cover change — loss of cropland in Congo peaked at 10,152 Square kilometres in 2022 and was at its lowest, 3,650 Square kilometres, in 2005.
That places Congo 22nd out of 169 countries with data for 2022, putting it in the top quarter.
Land cover and land cover change — Loss of cropland in Congo, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2005 | 3,650 Square kilometres | — |
| 2010 | 6,983 Square kilometres | +91.3% |
| 2015 | 8,260 Square kilometres | +18.3% |
| 2020 | 9,739 Square kilometres | +17.9% |
| 2022 | 10,152 Square kilometres | +4.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 3,650 Square kilometres | 3,650 Square kilometres | 3,650 Square kilometres | 1 |
| 2010s | 7,621 Square kilometres | 6,983 Square kilometres | 8,260 Square kilometres | 2 |
| 2020s | 9,945 Square kilometres | 9,739 Square kilometres | 10,152 Square kilometres | 2 |
Countries ranked near Congo
More environment data for Congo
- Historical exposure to drought — Land soil moisture anomaly -9.96 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.68 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.202 °C (2025)
- Temperature change 1.13 °C (2025)
- Sawnwood, non-coniferous — Export quantity, annual growth rate 1.12 % change on previous year (2024)
- Sawnwood, non-coniferous — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Export quantity, per capita 0.0449 m3 per person (2024)
- Sawnwood, non-coniferous — Export value, annual growth rate 20.26 % change on previous year (2024)
- Sawnwood, non-coniferous — Export value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is land cover and land cover change — loss of cropland in Congo?
- Land cover and land cover change — loss of cropland in Congo was 10,152 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 Congo?
- The highest recorded value was 10,152 Square kilometres in 2022.
- What is the lowest land cover and land cover change — loss of cropland recorded in Congo?
- The lowest recorded value was 3,650 Square kilometres in 2005.
- How does Congo rank for land cover and land cover change — loss of cropland?
- Congo ranks 22nd out of 169 countries with data for 2022.
- Is land cover and land cover change — loss of cropland rising or falling in Congo?
- Over the last ten years it is up 45.4%. The long-run trend across the full record is rising.
- Where does this Congo 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