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The climate in Brazil

Average daytime and nighttime temperatures


All climate diagrams on this page come 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, while the southern parts of the country belong geographically to the subtropics.

High humidity and hot temperatures make the weather in Brazil pleasant at times but also tropical humid. It is warm to hot all year round, inviting bathing at average water temperatures of 26 degrees. The warmest and at the same time rainiest region is Roraima. The coldest is Rio Grande do Sul. Due to less rain, the best time for traveling is from July to October. Most precipitation falls 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
Rain days per monthRain 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

Regions in Brazil

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

RegionTemperature
max Ø day
Temperature
min Ø night
Sunshine
hours
Rainy
days
PrecipitationHumidity
Acre31.7 °C21.5 °C1,898 h133 1,865 l85.0 %
Alagoas30.6 °C21.9 °C2,738 h95 803 l
Amapá32.3 °C24.3 °C2,482 h149 2,252 l83.0 %
Amazonas32.3 °C23.3 °C1,825 h158 2,475 l83.0 %
Bahia30.3 °C20.3 °C2,592 h88 1,015 l81.0 %
Ceará32.6 °C22.8 °C2,811 h78 1,033 l78.0 %
Federal District27.5 °C16.9 °C2,446 h101 1,694 l68.0 %
Espírito Santo29.7 °C21.1 °C2,227 h100 1,241 l77.0 %
Goiás29.4 °C18.6 °C2,519 h98 1,467 l68.0 %
Maranhão33.4 °C23.2 °C2,555 h98 1,515 l77.0 %
Mato Grosso32.6 °C20.4 °C2,154 h98 1,537 l
Mato Grosso do Sul30.2 °C18.7 °C2,519 h85 1,405 l72.0 %
Minas Gerais28.7 °C18.3 °C2,373 h90 1,296 l72.0 %
Pará32.4 °C23.4 °C2,300 h150 2,274 l85.0 %
Paraiba31.4 °C22.6 °C2,811 h114 1,307 l80.0 %
Paraná27.1 °C16.2 °C2,227 h98 1,613 l82.0 %
Pernambuco31.4 °C22.1 °C2,811 h94 1,095 l80.0 %
Piauí33.5 °C23.6 °C2,628 h96 1,445 l77.0 %
Rio de Janeiro29.1 °C19.7 °C1,971 h80 1,212 l
Rio Grande do Norte31.8 °C23.0 °C3,066 h91 1,230 l
Rio Grande do Sul25.1 °C14.6 °C2,336 h86 1,478 l74.0 %
Rondônia32.0 °C21.2 °C2,081 h112 1,712 l
Roraima33.7 °C24.5 °C2,263 h119 1,628 l72.0 %
Santa Catarina25.9 °C17.2 °C2,117 h121 1,664 l82.0 %
São Paulo28.5 °C17.6 °C2,373 h94 1,383 l78.0 %
Sergipe30.3 °C23.0 °C2,811 h110 975 l78.0 %
Tocantins33.6 °C22.3 °C2,409 h103 1,646 l

Temperature records of the last 73 years

The hottest temperature measured from 1949 to September 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 1,160 meters altitude, was recorded in 2020 with an average temperature of 24.6 °C. This average temperature will normally be measured every four to six 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 Irati weather station. 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, long-term development cannot simply be brought about by all weather stations in the country. Both the number and the locations are constantly changing. An average value would give a distorted result. If several measuring stations in particularly cold mountain or coastal regions are added in one year, the average would decrease as a result of this alone. If a station fails during the summer or winter months, it does not provide any values and distorts the average again. The subsequent long-term development was therefore reduced to only 3 measuring points in order to have 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 at 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 global warming has been provided separately.

Long-term development of temperatures in Brazil

Data basis and methodology

The data from 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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