River flooding exposure — Cropland share exposed to river flooding in Qinghai
Qinghai: River flooding exposure — Cropland share exposed to river flooding was 1.43 Percentage of agricultural land area in 2022. ▬ Flat
River flooding exposure — Cropland share exposed to river flooding in Qinghai, 2000–2022
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of agricultural land area.
Analysis
In 2022, river flooding exposure — cropland share exposed to river flooding in Qinghai stood at 1.43 Percentage of agricultural land area.
That represents a change of down 0.1% on the previous year and down 2.2% over ten years.
Over the whole period, river flooding exposure — cropland share exposed to river flooding in Qinghai peaked at 1.46 Percentage of agricultural land area in 2012 and was at its lowest, 1.42 Percentage of agricultural land area, in 2020.
That places Qinghai 1827th out of 3163 regions with data for 2022, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 1.45 Percentage of agricultural land area | 1.44 Percentage of agricultural land area | 1.45 Percentage of agricultural land area | 10 |
| 2010s | 1.45 Percentage of agricultural land area | 1.42 Percentage of agricultural land area | 1.46 Percentage of agricultural land area | 10 |
| 2020s | 1.43 Percentage of agricultural land area | 1.42 Percentage of agricultural land area | 1.43 Percentage of agricultural land area | 3 |
More environment data for Qinghai
- Historical exposure to drought — Cropland soil moisture anomaly -0.013 Percentage change (2025)
- Historical exposure to drought — Land soil moisture anomaly -1.83 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -3.05 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly 2.18 Percentage change (2024)
- Land cover and land cover change — Grassland 510,503 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 3,056 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 520.49 Square kilometres (2022)
Frequently asked questions
- What is river flooding exposure — cropland share exposed to river flooding in Qinghai?
- River flooding exposure — cropland share exposed to river flooding in Qinghai was 1.43 Percentage of agricultural land area in 2022, according to Organisation for Economic Co-operation and Development.
- What is the highest river flooding exposure — cropland share exposed to river flooding recorded in Qinghai?
- The highest recorded value was 1.46 Percentage of agricultural land area in 2012.
- What is the lowest river flooding exposure — cropland share exposed to river flooding recorded in Qinghai?
- The lowest recorded value was 1.42 Percentage of agricultural land area in 2020.
- How does Qinghai rank for river flooding exposure — cropland share exposed to river flooding?
- Qinghai ranks 1827th out of 3163 regions with data for 2022.
- Is river flooding exposure — cropland share exposed to river flooding rising or falling in Qinghai?
- Over the last ten years it is down 2.2%. The long-run trend across the full record is flat.
- Where does this Qinghai data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of River flooding exposure — Cropland share exposed to river flooding. Statizoid updates them automatically from the source API.
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About this data
The dataset provides a global assessment of land, population, built-up area and cropland exposure to river flooding for different return periods. Exposure indicators to river flooding have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the working paper for a more complete description of the methods. The datasets span the period 2000-2020 depending on data availability and is based on river flood hazard maps with a 10-, 20-, 50- and 100-year return period. A return period is the average or estimated time that a specific hazard is likely to recur. The dataset has a global coverage on a national level; 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. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. Data source(s): JRC River flood hazard map data, Copernicus Climate Change Initiative land cover data and Global Human Settlement Layer population grid data. Contact: ENV.Stat@oecd.org