The climate in Brazil

Average daytime and nighttime temperatures

All climate diagrams on this page result from the collected data of 194 weather stations.
Weather stations at an altitude above 1160m have not been included.
All data correspond to the average monthly values of the last 20 years.

Back to overview: Brazil

Climate zone: The northern part of Brazil is located in the equatorial tropics, the southern parts of the country belong geographically to the subtropics.

High humidity and hot temperatures make the weather in Brazil at times pleasant but also tropical humid. It is warm to hot all year round and invites to bathe at average water temperatures of 26 degrees. The warmest and rainiest state is Roraima. The coldest is Rio Grande do Sul. Dued to the lesser rain the best time for traveling is from July to October. Most precipitation decrease from January to March.
Duration of daylight and sunshine in Brazil
Compare climate with other regions or countries
Hours of sunshine per daySunshine hours per day in Brazil
Rainy days per monthRainy days per month in Brazil
Precipitation in mm/dayPrecipitation in Brazil
Water temperatureWater temperatures in Brazil
Relative humidity in %Relative humidity in Brazil
Absolute humidity in g/m³Absolute humidity in Brazil

Federal states in Brazil

All figures per year. For detailed climate data click on the name of the region.

Federal stateTemperature
max Ø day
min Ø night
Acre31.7 °C21.5 °C1,898 h133 1,902 l85.0 %
Alagoas30.8 °C21.9 °C2,738 h95 745 l
Amapá32.3 °C24.3 °C2,482 h149 2,270 l83.0 %
Amazonas32.3 °C23.3 °C1,825 h158 2,519 l83.0 %
Bahia30.4 °C20.4 °C2,592 h88 1,029 l81.0 %
Ceará32.6 °C22.8 °C2,811 h78 1,040 l78.0 %
Federal District27.5 °C17.0 °C2,446 h101 1,741 l68.0 %
Espírito Santo29.7 °C21.2 °C2,227 h100 1,256 l77.0 %
Goiás29.5 °C18.6 °C2,519 h98 1,504 l68.0 %
Maranhão33.4 °C23.2 °C2,519 h98 1,533 l77.0 %
Mato Grosso32.6 °C20.5 °C2,154 h98 1,555 l
Mato Grosso do Sul30.3 °C18.8 °C2,555 h85 1,394 l72.0 %
Minas Gerais28.7 °C18.4 °C2,373 h90 1,321 l72.0 %
Pará32.4 °C23.3 °C2,300 h150 2,278 l85.0 %
Paraiba31.4 °C22.6 °C2,811 h114 1,325 l80.0 %
Paraná27.2 °C16.2 °C2,227 h98 1,628 l82.0 %
Pernambuco31.4 °C22.1 °C2,774 h94 1,091 l80.0 %
Piauí33.5 °C23.6 °C2,628 h96 1,464 l77.0 %
Rio de Janeiro29.2 °C19.8 °C2,008 h80 1,230 l
Rio Grande do Norte31.8 °C23.0 °C3,103 h91 1,219 l
Rio Grande do Sul25.2 °C14.7 °C2,336 h86 1,526 l74.0 %
Rondônia32.0 °C21.2 °C2,081 h112 1,716 l
Roraima33.8 °C24.5 °C2,227 h119 1,610 l72.0 %
Santa Catarina26.0 °C17.3 °C2,081 h121 1,679 l82.0 %
São Paulo28.6 °C17.7 °C2,373 h94 1,398 l78.0 %
Sergipe30.3 °C23.0 °C2,811 h110 960 l78.0 %
Tocantins33.5 °C22.4 °C2,409 h103 1,675 l

Temperature records of the last 73 years

The hottest temperature measured from 1949 to March 2022 was reported by the Poxoreo weather station. In October 2020 the record temperature of 44.5 °C was reported here. The hottest summer from July to September, based on all 163 weather stations in Brazil below 1160 metres altitude, was recorded in 2020 with an average temperature of 24.6 °C. This average temperature will normally be measured every 4 to 6 hours, thus also including the nights. Normally, this value is 23.4 degrees Celsius. The average maximum daily temperature at that time was 30.4 °C.

The coldest day in these 73 years was reported by the weather station Irati. Here the temperature dropped to -3.9 °C in July 2019. Irati lies at an altitude of 882 meters above sea level. The coldest winter (January to March) was in 1965 with an average temperature of 24.3 °C. In Brazil, it is usual to have about 1.2 degrees more at 25.5 °C for this three-month period.

The most precipitation fell in September 2013. With 333.3 mm per day, the Vilhena weather station recorded the highest monthly average of the last 73 years. Incidentally, the region with the most rainfall for the whole year is around Belem. The driest region is near Petrolina.

Long-term development of temperatures from 2001 - 2021

In contrast to single record values, a long-term development cannot simply be brought about by all weather stations in the country. Both the number and the locations are constantly changing. A simply calculated average value would give a falsified result. If several measuring stations in particularly cold mountain or coastal regions are added in one year, the average would already decrease as a result of this alone. If a station fails during the summer or winter months, it does not provide any values and falsifies the average again. The subsequent long-term development was therefore reduced to only 3 measuring points in order to have actually comparable data over as long a period as possible.

In the years 2001 to 2021 there were only these 3 weather stations in the whole country, which reported continuous temperature values (Caratinga, Irati, Posse). From these weather reports we have created a long-term development that shows the monthly average temperatures. The hottest month in this entire period was January 2019 with 24.7 °C. July 2021 was the coldest month with an average temperature of 16.8 °C.

The average annual temperature was about 21.3 °C in the years after 2001 and about 21.5 °C in the last years before 2021. So it has hardly changed at all in the past 21 years. This trend only applies to the selected 3 weather stations in Brazil. A considerably more comprehensive evaluation of the global warming has been provided separately.

Long-term development of temperatures in Brazil

Data basis and methodology

The data of the individual measuring stations are based on the archives of the German Weather Service, individual values averaged and supplemented by own elements. In order to determine a representative national average, average values were first calculated for each part of the country, which were then summarized at the national level. Thus, if a disproportionate number of weather stations are located in a small area, their number does not affect the national average. There are 164 stations in Brazil itself. In 30 cases, neighboring but nearby weather stations were also used to obtain more accurate values.
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