Guinea vs Shanghai: River flooding exposure — Cropland share exposed to river flooding

Guinea
1.59 Percentage of agricultural land area
in 2022
Shanghai
24.81 Percentage of agricultural land area
in 2022
Guinea rank
132nd
Shanghai rank
134th

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

  • Guinea
  • Shanghai
0102030200020112022

How they compare

Shanghai currently reports 24.81 Percentage of agricultural land area against 1.59 Percentage of agricultural land area in Guinea, a difference of 23.22 Percentage of agricultural land area.

That makes Shanghai's figure about 15.6 times Guinea's.

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

Guinea ranks 132nd and Shanghai ranks 134th of 245 countries.

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

Head to head by decade

Decade Guinea Shanghai Difference Ahead
2000s 1.56 Percentage of agricultural land area 32.65 Percentage of agricultural land area 31.09 Percentage of agricultural land area Shanghai
2010s 1.57 Percentage of agricultural land area 28.01 Percentage of agricultural land area 26.44 Percentage of agricultural land area Shanghai
2020s 1.58 Percentage of agricultural land area 25.03 Percentage of agricultural land area 23.45 Percentage of agricultural land area Shanghai

Averages of every year both report within each decade.

Frequently asked questions

Which has higher river flooding exposure — cropland share exposed to river flooding, Guinea or Shanghai?
Shanghai, at 24.81 Percentage of agricultural land area against 1.59 Percentage of agricultural land area in Guinea as of 2022.
What is the difference in river flooding exposure — cropland share exposed to river flooding between Guinea and Shanghai?
23.22 Percentage of agricultural land area, with Shanghai ahead.
How many years of comparable data are there for Guinea and Shanghai?
23 years are reported by both, from 2000 to 2022.
How do Guinea and Shanghai rank globally for river flooding exposure — cropland share exposed to river flooding?
Guinea ranks 132nd and Shanghai ranks 134th 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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Guinea vs Shanghai: 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/guinea/shanghai/

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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