Historical exposure to drought — Cropland soil moisture anomaly in Gansu
Gansu: Historical exposure to drought — Cropland soil moisture anomaly was -0.2941 Percentage change in 2025. ◆ Volatile
Historical exposure to drought — Cropland soil moisture anomaly in Gansu, 1950–2025
Source: Organisation for Economic Co-operation and Development. Measured in Percentage change.
Analysis
The most recent figure for historical exposure to drought — cropland soil moisture anomaly in Gansu is -0.2941 Percentage change, measured in 2025.
Compared with earlier readings it is up 82.5% on the previous year and up 90.4% over ten years.
Over the whole period, historical exposure to drought — cropland soil moisture anomaly in Gansu peaked at 12.57 Percentage change in 1964 and was at its lowest, -8.1 Percentage change, in 2009.
That places Gansu 928th out of 2975 regions with data for 2025, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1950s | 1.95 Percentage change | -5.25 Percentage change | 12.27 Percentage change | 10 |
| 1960s | 1.84 Percentage change | -7.41 Percentage change | 12.57 Percentage change | 10 |
| 1970s | 0.5773 Percentage change | -5.85 Percentage change | 5.91 Percentage change | 10 |
| 1980s | 0.2367 Percentage change | -4.51 Percentage change | 6.83 Percentage change | 10 |
| 1990s | 0.6794 Percentage change | -5.3 Percentage change | 6.95 Percentage change | 10 |
| 2000s | -1.2 Percentage change | -8.1 Percentage change | 8.84 Percentage change | 10 |
| 2010s | -3.48 Percentage change | -7.69 Percentage change | 2.55 Percentage change | 10 |
| 2020s | -3.52 Percentage change | -7.46 Percentage change | -0.2941 Percentage change | 6 |
More environment data for Gansu
- Historical exposure to drought — Land soil moisture anomaly -0.2959 Percentage change (2025)
- Exposure to drought — Cropland soil moisture anomaly -5.47 Percentage change (2024)
- Exposure to drought — Land soil moisture anomaly -1.72 Percentage change (2024)
- River flooding exposure — Cropland share exposed to river flooding 1.84 Percentage of agricultural land area (2022)
- Land cover and land cover change — Grassland 156,398 Square kilometres (2022)
- Land cover and land cover change — Loss of cropland 6,999 Square kilometres (2022)
- Land cover and land cover change — Gain of artificial surfaces 1,479 Square kilometres (2022)
Frequently asked questions
- What is historical exposure to drought — cropland soil moisture anomaly in Gansu?
- Historical exposure to drought — cropland soil moisture anomaly in Gansu was -0.2941 Percentage change in 2025, according to Organisation for Economic Co-operation and Development.
- What is the highest historical exposure to drought — cropland soil moisture anomaly recorded in Gansu?
- The highest recorded value was 12.57 Percentage change in 1964.
- What is the lowest historical exposure to drought — cropland soil moisture anomaly recorded in Gansu?
- The lowest recorded value was -8.1 Percentage change in 2009.
- How does Gansu rank for historical exposure to drought — cropland soil moisture anomaly?
- Gansu ranks 928th out of 2975 regions with data for 2025.
- Is historical exposure to drought — cropland soil moisture anomaly rising or falling in Gansu?
- Over the last ten years it is up 90.4%. The long-run trend across the full record is volatile.
- Where does this Gansu data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Historical exposure to drought — Cropland soil moisture anomaly. Statizoid updates them automatically from the source API.
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About this data
The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer (0 to 7 cm) compared to the reference period 1981-2010. Exposure indicators to drought 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 1981-2024 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. 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): Copernicus Climate Change Initiative land cover data and Copernicus Climate Data Store monthly soil moisture data based on the ERA5-Land reanalysis dataset. Contact: ENV.Stat@oecd.org