Congo vs Rimini: Historical exposure to drought — Cropland soil moisture anomaly

Congo
-6.68 Percentage change
in 2025
Rimini
5.9 Percentage change
in 2025
Congo rank
146th
Rimini rank
147th

Historical exposure to drought — Cropland soil moisture anomaly over time

  • Congo
  • Rimini
-30-20-10010195019872025

How they compare

Rimini currently reports 5.9 Percentage change against -6.68 Percentage change in Congo, a difference of 12.58 Percentage change.

The two have swapped places 26 times across 76 shared years of data; in 1950 it was Rimini ahead.

Congo ranks 146th and Rimini ranks 147th of 209 countries.

Across the 8 decades both report, Congo averaged higher in 1 and Rimini in 7.

Head to head by decade

Decade Congo Rimini Difference Ahead
1950s -10.83 Percentage change 2.83 Percentage change 13.66 Percentage change Rimini
1960s 0.9179 Percentage change 4.67 Percentage change 3.75 Percentage change Rimini
1970s 0.7295 Percentage change 7.04 Percentage change 6.31 Percentage change Rimini
1980s 0.9672 Percentage change 2.27 Percentage change 1.3 Percentage change Rimini
1990s 1.71 Percentage change -2.01 Percentage change 3.72 Percentage change Congo
2000s -2.12 Percentage change -0.3628 Percentage change 1.76 Percentage change Rimini
2010s -2.32 Percentage change 2.3 Percentage change 4.62 Percentage change Rimini
2020s -4.46 Percentage change -0.8471 Percentage change 3.62 Percentage change Rimini

Averages of every year both report within each decade.

Frequently asked questions

Which has higher historical exposure to drought — cropland soil moisture anomaly, Congo or Rimini?
Rimini, at 5.9 Percentage change against -6.68 Percentage change in Congo as of 2025.
What is the difference in historical exposure to drought — cropland soil moisture anomaly between Congo and Rimini?
12.58 Percentage change, with Rimini ahead.
How many years of comparable data are there for Congo and Rimini?
76 years are reported by both, from 1950 to 2025.
How do Congo and Rimini rank globally for historical exposure to drought — cropland soil moisture anomaly?
Congo ranks 146th and Rimini ranks 147th of 209 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Historical exposure to drought — Cropland soil moisture anomaly. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Congo vs Rimini: Historical exposure to drought — Cropland soil moisture anomaly. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 20 August 2026, from https://environment.statizoid.com/compare/historical-exposure-to-drought-cropland-soil-moisture-anomaly/congo-rep/rimini/

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About this data

Indicator
Historical 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
3,200 places, 243,200 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