Brazil is the largest country of the South American continent and occupies half the continent’s landmass (Encyclopædia Britannica). The country is composed of a wide variety of landscapes (mountains, plains, highlands, and scrublands) and has 7 400 km of coast along the Atlantic Ocean. South-eastern Brazil has more pronounced relief, with mountain ranges, while the north is composed of a complex river system. The main disaster type affecting the country is flooding. Between 2000 and 2018, Brazil was hit by 65 floods, representing close to 71% of disasters recorded. Floods are the deadliest disaster type in Brazil by far with a total of 2 435 fatalities, representing 88% of fatalities due to disasters in Brazil. However, the disaster type affecting the most people over the same period is drought, with 33 062 000 (81.1 % of people affected by disasters) in total. The deadliest disaster event between 2000 and 2018 was a flood in 2011, which resulted in 900 fatalities. The disaster event that affected the most people in Brazil was a drought that started in 2014 and affected 27 000 000 people due to rain deficits in 2012 and 2013, combined with high temperatures in 2014.

Mapping natural disasters from 2000 until 2018

Proportional Symbol Map

Number of times a region has been affected by disasters.

A proportional symbol map uses simple map symbols (usually a circle or square) that vary in size to represent a quantitative value found at that location.

Choropleth Map

Number of disasters per 1 000 km².

In a choropleth map, divided geographical areas or regions are coloured, shaded or patterned in relation to a statistical variable that represents an aggregate summary of a geographic characteristic within each area.

Kernel Density Map

Kernel density estimation (quadratic kernel).

The kernel density map produces a processed, smoothed visualization of the density of occurrences in the neighbourhood of each resulting map cell. The kernel density map makes it possible to see a concentration of event occurrences. A qualitative scale is used here to ease interpretation.

How to access the EM-DAT database

Go to

The EM-DAT website and the EM-DAT database including all its parts (text, photos, illustrations, graphics or infographics, logos, ...) are protected by copyright laws and treaties around the world and especially the Belgian law of 30 June 1994 on copyright and the Belgian law of 31 August 1998 on the legal protection of databases. All such rights are reserved.
UCLouvain is the owner or the licensee of all intellectual property rights related to the EM-DAT website and EM-DAT database and the material published on it, including but not limited to the copyright.
All published papers and technical reports from the EM-DAT Database owner related to EM-DAT may be used free of charge by the user, provided the user uses Proper Citation. Proper Citation of both EM-DAT and data obtained through EM-DAT is the responsibility of the user alone. “Proper Citation” of EM-DAT means: “EM-DAT, CRED / UCLouvain, Brussels, Belgium – (D. Guha-Sapir)”
Any use that causes unjustified damage to the legitimate interests of CRED – UCLouvain is strictly forbidden. The same applies to the use with the aim of creating a tool in competition with EM-DAT.
The designations employed and the presentation of the material on these maps do not imply the expression of any opinion whatsoever on the part of EM-DAT concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The maps only represents data on countries that are currently existing. Every effort is made to ensure these maps are free of errors but there is no warrant the maps or their features are either spatially or temporally accurate or fit for a particular use. These maps are provided without any warranty of any kind whatsoever, either expressed or implied.