Land cover and land cover change — Grassland in Samara Oblast
Samara Oblast: Land cover and land cover change — Grassland was 701.46 Square kilometres in 2022. ▬ Flat
Land cover and land cover change — Grassland in Samara Oblast, 2000–2022
Source: Organisation for Economic Co-operation and Development. Measured in Square kilometres.
Analysis
The most recent figure for land cover and land cover change — grassland in Samara Oblast is 701.46 Square kilometres, measured in 2022. That is the lowest value across all 6 years on record.
Compared with earlier readings it is down 0.4% on the previous year and down 0.8% over ten years.
Over the whole period, land cover and land cover change — grassland in Samara Oblast peaked at 708.59 Square kilometres in 2000 and was at its lowest, 701.46 Square kilometres, in 2022.
Samara Oblast ranks 483rd of 775 regions on this measure, in the middle of the range.
Land cover and land cover change — Grassland in Samara Oblast, year by year
| Year | Square kilometres | Change |
|---|---|---|
| 2000 | 708.59 Square kilometres | — |
| 2005 | 704.96 Square kilometres | -0.5% |
| 2010 | 707.2 Square kilometres | +0.3% |
| 2015 | 706 Square kilometres | -0.2% |
| 2020 | 704.07 Square kilometres | -0.3% |
| 2022 | 701.46 Square kilometres | -0.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 706.78 Square kilometres | 704.96 Square kilometres | 708.59 Square kilometres | 2 |
| 2010s | 706.6 Square kilometres | 706 Square kilometres | 707.2 Square kilometres | 2 |
| 2020s | 702.76 Square kilometres | 701.46 Square kilometres | 704.07 Square kilometres | 2 |
More environment data for Samara Oblast
- Historical exposure to drought — Cropland soil moisture anomaly -7.92 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -7.84 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -9.33 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -8.42 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 4.54 Percentage of agricultural land area (2022)
- Land cover and land cover change — Loss of cropland 807.12 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 521.46 Square kilometres (2022)
Frequently asked questions
- What is land cover and land cover change — grassland in Samara Oblast?
- Land cover and land cover change — grassland in Samara Oblast was 701.46 Square kilometres in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest land cover and land cover change — grassland recorded in Samara Oblast?
- The highest recorded value was 708.59 Square kilometres in 2000.
- What is the lowest land cover and land cover change — grassland recorded in Samara Oblast?
- The lowest recorded value was 701.46 Square kilometres in 2022.
- How does Samara Oblast rank for land cover and land cover change — grassland?
- Samara Oblast ranks 483rd out of 775 regions with data for 2022.
- Is land cover and land cover change — grassland rising or falling in Samara Oblast?
- Over the last ten years it is down 0.8%. The long-run trend across the full record is flat.
- Where does this Samara Oblast data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Land cover and land cover change — Grassland. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 6 observations, free to reuse under OECD Terms and Conditions (attribution required).
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