Rio Grande do Sul vs San Marino: Exposure to drought — Cropland soil moisture anomaly

Rio Grande do Sul
-1.91 Percentage change
in 2024
San Marino
3.23 Percentage change
in 2024
Rio Grande do Sul rank
11th
San Marino rank
14th

Exposure to drought — Cropland soil moisture anomaly over time

  • Rio Grande do Sul
  • San Marino
-10-5051015198120022024

How they compare

San Marino currently reports 3.23 Percentage change against -1.91 Percentage change in Rio Grande do Sul, a difference of 5.14 Percentage change.

That makes San Marino's figure about 1.7 times Rio Grande do Sul's.

The two have swapped places 24 times across 44 shared years of data; in 1981 it was San Marino ahead.

Rio Grande do Sul ranks 11th and San Marino ranks 14th of 67 groups.

Across the 5 decades both report, Rio Grande do Sul averaged higher in 2 and San Marino in 3.

Head to head by decade

Decade Rio Grande do Sul San Marino Difference Ahead
1980s -0.7618 Percentage change 0.2574 Percentage change 1.02 Percentage change San Marino
1990s 1.14 Percentage change -0.9102 Percentage change 2.05 Percentage change Rio Grande do Sul
2000s -0.3279 Percentage change -0.3318 Percentage change 0.004 Percentage change Rio Grande do Sul
2010s -0.4236 Percentage change 3.99 Percentage change 4.42 Percentage change San Marino
2020s -5.32 Percentage change -2.4 Percentage change 2.93 Percentage change San Marino

Averages of every year both report within each decade.

Frequently asked questions

Which has higher exposure to drought — cropland soil moisture anomaly, Rio Grande do Sul or San Marino?
San Marino, at 3.23 Percentage change against -1.91 Percentage change in Rio Grande do Sul as of 2024.
What is the difference in exposure to drought — cropland soil moisture anomaly between Rio Grande do Sul and San Marino?
5.14 Percentage change, with San Marino ahead.
How many years of comparable data are there for Rio Grande do Sul and San Marino?
44 years are reported by both, from 1981 to 2024.
How do Rio Grande do Sul and San Marino rank globally for exposure to drought — cropland soil moisture anomaly?
Rio Grande do Sul ranks 11th and San Marino ranks 14th of 67 groups.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Exposure to drought — Cropland soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Rio Grande do Sul vs San Marino: Exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 06 October 2026, from https://environment.statizoid.com/compare/exposure-to-drought-cropland-soil-moisture-anomaly/rio-grande-do-sul/san-marino/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://environment.statizoid.com/compare/exposure-to-drought-cropland-soil-moisture-anomaly/rio-grande-do-sul/san-marino/">Rio Grande do Sul vs San Marino: Exposure to drought — Cropland soil moisture anomaly</a> — Statizoid

About this data

Indicator
Exposure to drought — Cropland soil moisture anomaly
Unit
Percentage change
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
934 places, 41,095 data points, 1981–2024
Last refreshed

The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer 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 1981-2022 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 (ERA5). Contact: ENV.Stat@oecd.org Database documentation