Germany vs Peru: River flooding exposure — Cropland share exposed to river flooding

Germany
5.04 Percentage of agricultural land area
in 2022
Peru
4.91 Percentage of agricultural land area
in 2022
Germany rank
60th
Peru rank
61st

River flooding exposure — Cropland share exposed to river flooding over time

  • Germany
  • Peru
0246200020112022

How they compare

Germany currently reports 5.04 Percentage of agricultural land area against 4.91 Percentage of agricultural land area in Peru, a difference of 0.13 Percentage of agricultural land area.

Across all 23 years both countries report, Germany has been ahead every year.

Germany ranks 60th and Peru ranks 61st of 245 countries.

Germany has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Germany Peru Difference Ahead
2000s 5.02 Percentage of agricultural land area 4.34 Percentage of agricultural land area 0.6816 Percentage of agricultural land area Germany
2010s 5.03 Percentage of agricultural land area 4.62 Percentage of agricultural land area 0.4112 Percentage of agricultural land area Germany
2020s 5.04 Percentage of agricultural land area 4.77 Percentage of agricultural land area 0.2641 Percentage of agricultural land area Germany

Averages of every year both report within each decade.

Frequently asked questions

Which has higher river flooding exposure — cropland share exposed to river flooding, Germany or Peru?
Germany, at 5.04 Percentage of agricultural land area against 4.91 Percentage of agricultural land area in Peru as of 2022.
What is the difference in river flooding exposure — cropland share exposed to river flooding between Germany and Peru?
0.13 Percentage of agricultural land area, with Germany ahead.
How many years of comparable data are there for Germany and Peru?
23 years are reported by both, from 2000 to 2022.
How do Germany and Peru rank globally for river flooding exposure — cropland share exposed to river flooding?
Germany ranks 60th and Peru ranks 61st of 245 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as River flooding exposure — Cropland share exposed to river flooding. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Germany vs Peru: River flooding exposure — Cropland share exposed to river flooding. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 20 August 2026, from https://environment.statizoid.com/compare/river-flooding-exposure-cropland-share-exposed-to-river-flooding/germany/peru/

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About this data

Indicator
River flooding exposure — Cropland share exposed to river flooding
Unit
Percentage of agricultural land area
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
3,425 places, 78,723 data points, 2000–2022
Last refreshed

The dataset provides a global assessment of land, population, built-up area and cropland exposure to river flooding for different return periods. Exposure indicators to river flooding 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 2000-2020 depending on data availability and is based on river flood hazard maps with a 10-, 20-, 50- and 100-year return period. A return period is the average or estimated time that a specific hazard is likely to recur. 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): JRC River flood hazard map data, Copernicus Climate Change Initiative land cover data and Global Human Settlement Layer population grid data. Contact: ENV.Stat@oecd.org