Eswatini vs Mato Grosso: River flooding exposure — Cropland share exposed to river flooding

Eswatini
1.38 Percentage of agricultural land area
in 2022
Mato Grosso
1.38 Percentage of agricultural land area
in 2022
Eswatini rank
59th
Mato Grosso rank
60th

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

  • Eswatini
  • Mato Grosso
00.511.5200020112022

How they compare

Eswatini currently reports 1.38 Percentage of agricultural land area against 1.38 Percentage of agricultural land area in Mato Grosso, a difference of 0 Percentage of agricultural land area.

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

Eswatini ranks 59th and Mato Grosso ranks 60th of 74 countries.

Across the 3 decades both report, Eswatini averaged higher in 1 and Mato Grosso in 2.

Head to head by decade

Decade Eswatini Mato Grosso Difference Ahead
2000s 1.24 Percentage of agricultural land area 1.38 Percentage of agricultural land area 0.1427 Percentage of agricultural land area Mato Grosso
2010s 1.36 Percentage of agricultural land area 1.37 Percentage of agricultural land area 0.0091 Percentage of agricultural land area Mato Grosso
2020s 1.39 Percentage of agricultural land area 1.38 Percentage of agricultural land area 0.0064 Percentage of agricultural land area Eswatini

Averages of every year both report within each decade.

Frequently asked questions

Which has higher river flooding exposure — cropland share exposed to river flooding, Eswatini or Mato Grosso?
Eswatini, at 1.38 Percentage of agricultural land area against 1.38 Percentage of agricultural land area in Mato Grosso as of 2022.
What is the difference in river flooding exposure — cropland share exposed to river flooding between Eswatini and Mato Grosso?
0 Percentage of agricultural land area, with Eswatini ahead.
How many years of comparable data are there for Eswatini and Mato Grosso?
23 years are reported by both, from 2000 to 2022.
How do Eswatini and Mato Grosso rank globally for river flooding exposure — cropland share exposed to river flooding?
Eswatini ranks 59th and Mato Grosso ranks 60th of 74 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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Eswatini vs Mato Grosso: River flooding exposure — Cropland share exposed to river flooding. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 06 October 2026, from https://environment.statizoid.com/compare/river-flooding-exposure-cropland-share-exposed-to-river-flooding/eswatini-2/mato-grosso/

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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