Punjab vs Serres: River flooding exposure — Cropland share exposed to river flooding

Punjab
15.66 Percentage of agricultural land area
in 2022
Serres
15.55 Percentage of agricultural land area
in 2022
Punjab rank
265th
Serres rank
268th

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

  • Punjab
  • Serres
051015200020112022

How they compare

Punjab currently reports 15.66 Percentage of agricultural land area against 15.55 Percentage of agricultural land area in Serres, a difference of 0.11 Percentage of agricultural land area.

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

Punjab ranks 265th and Serres ranks 268th of 3163 countries.

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

Head to head by decade

Decade Punjab Serres Difference Ahead
2000s 15.47 Percentage of agricultural land area 15.16 Percentage of agricultural land area 0.3163 Percentage of agricultural land area Punjab
2010s 15.59 Percentage of agricultural land area 15.5 Percentage of agricultural land area 0.0891 Percentage of agricultural land area Punjab
2020s 15.63 Percentage of agricultural land area 15.55 Percentage of agricultural land area 0.0829 Percentage of agricultural land area Punjab

Averages of every year both report within each decade.

Frequently asked questions

Which has higher river flooding exposure — cropland share exposed to river flooding, Punjab or Serres?
Punjab, at 15.66 Percentage of agricultural land area against 15.55 Percentage of agricultural land area in Serres as of 2022.
What is the difference in river flooding exposure — cropland share exposed to river flooding between Punjab and Serres?
0.11 Percentage of agricultural land area, with Punjab ahead.
How many years of comparable data are there for Punjab and Serres?
23 years are reported by both, from 2000 to 2022.
How do Punjab and Serres rank globally for river flooding exposure — cropland share exposed to river flooding?
Punjab ranks 265th and Serres ranks 268th of 3163 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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Punjab vs Serres: 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/punjab/serres/

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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