Kenya vs Zambia: River flooding exposure — Cropland share exposed to river flooding

Kenya
1.71 Percentage of agricultural land area
in 2022
Zambia
1.75 Percentage of agricultural land area
in 2022
Kenya rank
127th
Zambia rank
126th

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

  • Kenya
  • Zambia
00.511.52200020112022

How they compare

Zambia currently reports 1.75 Percentage of agricultural land area against 1.71 Percentage of agricultural land area in Kenya, a difference of 0.04 Percentage of agricultural land area.

The two have swapped places 1 time across 23 shared years of data; in 2000 it was Kenya ahead.

Kenya ranks 127th and Zambia ranks 126th of 245 countries.

Across the 3 decades both report, Kenya averaged higher in 2 and Zambia in 1.

Head to head by decade

Decade Kenya Zambia Difference Ahead
2000s 1.77 Percentage of agricultural land area 1.74 Percentage of agricultural land area 0.0318 Percentage of agricultural land area Kenya
2010s 1.76 Percentage of agricultural land area 1.75 Percentage of agricultural land area 0.0023 Percentage of agricultural land area Kenya
2020s 1.72 Percentage of agricultural land area 1.75 Percentage of agricultural land area 0.0323 Percentage of agricultural land area Zambia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher river flooding exposure — cropland share exposed to river flooding, Kenya or Zambia?
Zambia, at 1.75 Percentage of agricultural land area against 1.71 Percentage of agricultural land area in Kenya as of 2022.
What is the difference in river flooding exposure — cropland share exposed to river flooding between Kenya and Zambia?
0.04 Percentage of agricultural land area, with Zambia ahead.
How many years of comparable data are there for Kenya and Zambia?
23 years are reported by both, from 2000 to 2022.
How do Kenya and Zambia rank globally for river flooding exposure — cropland share exposed to river flooding?
Kenya ranks 127th and Zambia ranks 126th 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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Kenya vs Zambia: River flooding exposure — Cropland share exposed to river flooding. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 21 August 2026, from https://environment.statizoid.com/compare/river-flooding-exposure-cropland-share-exposed-to-river-flooding/kenya/zambia/

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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