Chandigarh vs French Southern Territories: Historical exposure to drought — Land soil moisture anomaly
Historical exposure to drought — Land soil moisture anomaly over time
- Chandigarh
- French Southern Territories
How they compare
Chandigarh currently reports 10.7 Percentage change against 1.44 Percentage change in French Southern Territories, a difference of 9.26 Percentage change.
That makes Chandigarh's figure about 7.4 times French Southern Territories's.
The two have swapped places 38 times across 76 shared years of data; in 1950 it was Chandigarh ahead.
Chandigarh ranks 39th and French Southern Territories ranks 36th of 3112 regions.
Across the 8 decades both report, Chandigarh averaged higher in 6 and French Southern Territories in 2.
Head to head by decade
| Decade | Chandigarh | French Southern Territories | Difference | Ahead |
|---|---|---|---|---|
| 1950s | 5.72 Percentage change | -2.51 Percentage change | 8.22 Percentage change | Chandigarh |
| 1960s | -2.05 Percentage change | -1.16 Percentage change | 0.8858 Percentage change | French Southern Territories |
| 1970s | 2.3 Percentage change | -0.8187 Percentage change | 3.12 Percentage change | Chandigarh |
| 1980s | 1.17 Percentage change | -1.2 Percentage change | 2.37 Percentage change | Chandigarh |
| 1990s | 3.58 Percentage change | 0.0181 Percentage change | 3.56 Percentage change | Chandigarh |
| 2000s | -4.64 Percentage change | 0.6674 Percentage change | 5.31 Percentage change | French Southern Territories |
| 2010s | -0.7404 Percentage change | -1.48 Percentage change | 0.7385 Percentage change | Chandigarh |
| 2020s | 2.29 Percentage change | 2.08 Percentage change | 0.2118 Percentage change | Chandigarh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher historical exposure to drought — land soil moisture anomaly, Chandigarh or French Southern Territories?
- Chandigarh, at 10.7 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 Chandigarh and French Southern Territories?
- 9.26 Percentage change, with Chandigarh ahead.
- How many years of comparable data are there for Chandigarh and French Southern Territories?
- 76 years are reported by both, from 1950 to 2025.
- How do Chandigarh and French Southern Territories rank globally for historical exposure to drought — land soil moisture anomaly?
- Chandigarh ranks 39th and French Southern Territories ranks 36th of 3112 regions.
- 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