French Southern Territories vs Ningxia: Historical exposure to drought — Land soil moisture anomaly
Historical exposure to drought — Land soil moisture anomaly over time
- French Southern Territories
- Ningxia
How they compare
Ningxia currently reports 11.32 Percentage change against 1.44 Percentage change in French Southern Territories, a difference of 9.88 Percentage change.
That makes Ningxia's figure about 7.9 times French Southern Territories's.
The two have swapped places 33 times across 76 shared years of data; in 1950 it was French Southern Territories ahead.
French Southern Territories ranks 36th and Ningxia ranks 35th of 191 countries.
Across the 8 decades both report, French Southern Territories averaged higher in 4 and Ningxia in 4.
Head to head by decade
| Decade | French Southern Territories | Ningxia | Difference | Ahead |
|---|---|---|---|---|
| 1950s | -2.51 Percentage change | 6.84 Percentage change | 9.35 Percentage change | Ningxia |
| 1960s | -1.16 Percentage change | 17.13 Percentage change | 18.29 Percentage change | Ningxia |
| 1970s | -0.8187 Percentage change | 4.25 Percentage change | 5.07 Percentage change | Ningxia |
| 1980s | -1.2 Percentage change | -6.2 Percentage change | 5 Percentage change | French Southern Territories |
| 1990s | 0.0181 Percentage change | 3.45 Percentage change | 3.44 Percentage change | Ningxia |
| 2000s | 0.6674 Percentage change | 0.5213 Percentage change | 0.1461 Percentage change | French Southern Territories |
| 2010s | -1.48 Percentage change | -2.65 Percentage change | 1.17 Percentage change | French Southern Territories |
| 2020s | 2.08 Percentage change | -5.5 Percentage change | 7.57 Percentage change | French Southern Territories |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher historical exposure to drought — land soil moisture anomaly, French Southern Territories or Ningxia?
- Ningxia, at 11.32 Percentage change against 1.44 Percentage change in French Southern Territories as of 2025.
- What is the difference in historical exposure to drought — land soil moisture anomaly between French Southern Territories and Ningxia?
- 9.88 Percentage change, with Ningxia ahead.
- How many years of comparable data are there for French Southern Territories and Ningxia?
- 76 years are reported by both, from 1950 to 2025.
- How do French Southern Territories and Ningxia rank globally for historical exposure to drought — land soil moisture anomaly?
- French Southern Territories ranks 36th and Ningxia ranks 35th of 191 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Historical exposure to drought — Land soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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