Bhutan vs Brazil: River flooding exposure — Cropland share exposed to river flooding

Bhutan
2.78 Percentage of agricultural land area
in 2022
Brazil
2.68 Percentage of agricultural land area
in 2022
Bhutan rank
82nd
Brazil rank
83rd

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

  • Bhutan
  • Brazil
0123200020112022

How they compare

Bhutan currently reports 2.78 Percentage of agricultural land area against 2.68 Percentage of agricultural land area in Brazil, a difference of 0.1 Percentage of agricultural land area.

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

Bhutan ranks 82nd and Brazil ranks 83rd of 204 countries.

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

Head to head by decade

Decade Bhutan Brazil Difference Ahead
2000s 2.93 Percentage of agricultural land area 2.61 Percentage of agricultural land area 0.3161 Percentage of agricultural land area Bhutan
2010s 2.85 Percentage of agricultural land area 2.66 Percentage of agricultural land area 0.1861 Percentage of agricultural land area Bhutan
2020s 2.78 Percentage of agricultural land area 2.67 Percentage of agricultural land area 0.1044 Percentage of agricultural land area Bhutan

Averages of every year both report within each decade.

Frequently asked questions

Which has higher river flooding exposure — cropland share exposed to river flooding, Bhutan or Brazil?
Bhutan, at 2.78 Percentage of agricultural land area against 2.68 Percentage of agricultural land area in Brazil as of 2022.
What is the difference in river flooding exposure — cropland share exposed to river flooding between Bhutan and Brazil?
0.1 Percentage of agricultural land area, with Bhutan ahead.
How many years of comparable data are there for Bhutan and Brazil?
23 years are reported by both, from 2000 to 2022.
How do Bhutan and Brazil rank globally for river flooding exposure — cropland share exposed to river flooding?
Bhutan ranks 82nd and Brazil ranks 83rd of 204 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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Bhutan vs Brazil: 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/bhutan/brazil/

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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