San Marino vs Uttar Pradesh: Historical exposure to drought — Land soil moisture anomaly

San Marino
6.82 Percentage change
in 2025
Uttar Pradesh
15.55 Percentage change
in 2025
San Marino rank
8th
Uttar Pradesh rank
10th

Historical exposure to drought — Land soil moisture anomaly over time

  • San Marino
  • Uttar Pradesh
-2002040195019872025

How they compare

Uttar Pradesh currently reports 15.55 Percentage change against 6.82 Percentage change in San Marino, a difference of 8.73 Percentage change.

That makes Uttar Pradesh's figure about 2.3 times San Marino's.

The two have swapped places 34 times across 76 shared years of data; in 1950 it was Uttar Pradesh ahead.

San Marino ranks 8th and Uttar Pradesh ranks 10th of 191 countries.

Across the 8 decades both report, San Marino averaged higher in 5 and Uttar Pradesh in 3.

Head to head by decade

Decade San Marino Uttar Pradesh Difference Ahead
1950s 3.49 Percentage change 12.08 Percentage change 8.59 Percentage change Uttar Pradesh
1960s 4.7 Percentage change -3.01 Percentage change 7.71 Percentage change San Marino
1970s 7.54 Percentage change 0.6565 Percentage change 6.88 Percentage change San Marino
1980s 2.42 Percentage change -1.56 Percentage change 3.97 Percentage change San Marino
1990s -2.27 Percentage change 2.69 Percentage change 4.96 Percentage change Uttar Pradesh
2000s -0.2066 Percentage change -0.8123 Percentage change 0.6058 Percentage change San Marino
2010s 2.5 Percentage change 0.006 Percentage change 2.5 Percentage change San Marino
2020s -0.9124 Percentage change 7.95 Percentage change 8.87 Percentage change Uttar Pradesh

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — land soil moisture anomaly, San Marino or Uttar Pradesh?
Uttar Pradesh, at 15.55 Percentage change against 6.82 Percentage change in San Marino as of 2025.
What is the difference in historical exposure to drought — land soil moisture anomaly between San Marino and Uttar Pradesh?
8.73 Percentage change, with Uttar Pradesh ahead.
How many years of comparable data are there for San Marino and Uttar Pradesh?
76 years are reported by both, from 1950 to 2025.
How do San Marino and Uttar Pradesh rank globally for historical exposure to drought — land soil moisture anomaly?
San Marino ranks 8th and Uttar Pradesh ranks 10th 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.

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San Marino vs Uttar Pradesh: Historical exposure to drought — Land soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 03 September 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-land-soil-moisture-anomaly/san-marino/uttar-pradesh/

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About this data

Indicator
Historical exposure to drought — Land soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
3,375 places, 256,500 data points, 1950–2025
Last refreshed

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