Groß-Gerau vs Nepal: River flooding exposure — Cropland share exposed to river flooding

Groß-Gerau
41.2 Percentage of agricultural land area
in 2022
Nepal
5.58 Percentage of agricultural land area
in 2022
Groß-Gerau rank
47th
Nepal rank
49th

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

  • Groß-Gerau
  • Nepal
10203040200020112022

How they compare

Groß-Gerau currently reports 41.2 Percentage of agricultural land area against 5.58 Percentage of agricultural land area in Nepal, a difference of 35.62 Percentage of agricultural land area.

That makes Groß-Gerau's figure about 7.4 times Nepal's.

Across all 23 years both countries report, Groß-Gerau has been ahead every year.

Groß-Gerau ranks 47th and Nepal ranks 49th of 3163 regions.

Groß-Gerau has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Groß-Gerau Nepal Difference Ahead
2000s 41.1 Percentage of agricultural land area 5.54 Percentage of agricultural land area 35.57 Percentage of agricultural land area Groß-Gerau
2010s 41.04 Percentage of agricultural land area 5.57 Percentage of agricultural land area 35.47 Percentage of agricultural land area Groß-Gerau
2020s 41.15 Percentage of agricultural land area 5.59 Percentage of agricultural land area 35.56 Percentage of agricultural land area Groß-Gerau

Averages of every year both report within each decade.

Frequently asked questions

Which has higher river flooding exposure — cropland share exposed to river flooding, Groß-Gerau or Nepal?
Groß-Gerau, at 41.2 Percentage of agricultural land area against 5.58 Percentage of agricultural land area in Nepal as of 2022.
What is the difference in river flooding exposure — cropland share exposed to river flooding between Groß-Gerau and Nepal?
35.62 Percentage of agricultural land area, with Groß-Gerau ahead.
How many years of comparable data are there for Groß-Gerau and Nepal?
23 years are reported by both, from 2000 to 2022.
How do Groß-Gerau and Nepal rank globally for river flooding exposure — cropland share exposed to river flooding?
Groß-Gerau ranks 47th and Nepal ranks 49th of 3163 regions.
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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Groß-Gerau vs Nepal: 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/gro-gerau/nepal/

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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