Brazil Coronavirus Map and Case Count

Tracking Coronavirus in Brazil: Latest Map and Case Count

New reported cases

Mar. 2020
Aug.
Jan. 2021
Jun.
Nov.
Apr. 2022
50,000
100,000
150,000 cases
7–day average
19,565
Daily Avg. on Aug. 13 14-Day Change Total Reported
Cases 19,565 –47% 34,148,131
Deaths 188 –24% 681,253
About this data Source: Data for Brazil comes from the Center for Systems Science and Engineering at Johns Hopkins University. Population data from the Brazilian Institute of Geography and Statistics. Daily cases are the number of new cases reported each day. The seven-day average is the average of a day and the previous six days of data.

Hot spots

Average daily cases per 100,000 people in past week
10
30
50
70
100
250
About this data The hot spots map shows the share of population with a new reported case over the last week.

Vaccinations

Fully vaccinated

81%

See more details ›

About this data Source: Vaccination data is based on government reports and is provided by the Our World in Data project at the University of Oxford. Data is based on reports at the time of publication.

Latest trends

  • An average of 19,565 cases per day were reported in Brazil in the last week. Cases have decreased by 47 percent from the average two weeks ago. Deaths have decreased by 24 percent.
  • Since the beginning of the pandemic, at least 1 in 6 residents have been infected, a total of 34,148,131 reported cases. At least 1 in 310 residents have died from the coronavirus, a total of 681,253 deaths.
  • February 2022 was the month with the highest average cases, while April 2021 was the month with the highest average deaths in Brazil.

Vaccinations

Fully vaccinated

81%

See more details ›

About this data Source: Vaccination data is based on government reports and is provided by the Our World in Data project at the University of Oxford. Data is based on reports at the time of publication.

Latest trends

  • An average of 19,565 cases per day were reported in Brazil in the last week. Cases have decreased by 47 percent from the average two weeks ago. Deaths have decreased by 24 percent.
  • Since the beginning of the pandemic, at least 1 in 6 residents have been infected, a total of 34,148,131 reported cases. At least 1 in 310 residents have died from the coronavirus, a total of 681,253 deaths.
  • February 2022 was the month with the highest average cases, while April 2021 was the month with the highest average deaths in Brazil.

Latest trends by state

This table is sorted by places with the most cases per 100,000 residents in the last seven days. Charts show change in daily averages and are each on their own scale.

Cases
Daily Avg.
Per
100,000
14-day
change
Deaths
Daily Avg.
Per
100,000
BrazilBrazil19,565 9
–47% cases trajectory last two weeks
187.7 0.09
Acre275 32
–52% cases trajectory last two weeks
0.6 0.07
Goiás1,668 24
–40% cases trajectory last two weeks
10.1 0.15
Rondônia328 19
–44% cases trajectory last two weeks
1.6 0.09
Rio Grande do Sul1,911 17
–48% cases trajectory last two weeks
14.3 0.13
Mato Grosso524 15
–58% cases trajectory last two weeks
1.9 0.05
Minas Gerais2,966 14
–26% cases trajectory last two weeks
21.9 0.10
Roraima78 14
–63% cases trajectory last two weeks
1.0 0.18
Mato Grosso do Sul354 13
–11% cases trajectory last two weeks
3.3 0.12
Paraná1,413 12
–31% cases trajectory last two weeks
28.3 0.25
Piauí401 12
–21% cases trajectory last two weeks
1.6 0.05
About this data Daily cases are the number of new cases reported each day. The seven-day average is the average of a day and the previous six days of data. All-time charts show data from Jan. 21, 2020 to present.

How trends have changed in Brazil

New reported cases by day
Mar. 2020
Aug.
Jan. 2021
Jun.
Nov.
Apr. 2022
50,000
100,000
150,000 cases
7–day average
19,565
New reported deaths by day
Mar. 2020
Aug.
Jan. 2021
Jun.
Nov.
Apr. 2022
1,000
2,000
3,000 deaths
7–day average
188
About this data Source: Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. The daily average is calculated with data that was reported in the last seven days.

About the data

Confirmed cases and deaths, which are widely considered to be an undercount of the true toll, are counts of individuals whose coronavirus infections were confirmed by a molecular laboratory test. Probable cases and deaths count individuals who meet criteria for other types of testing, symptoms and exposure, as developed by national and local governments.

Governments often revise data or report a single-day large increase in cases or deaths from unspecified days without historical revisions, which can cause an irregular pattern in the daily reported figures. The Times is excluding these anomalies from seven-day averages when possible. For agencies that do not report data every day, variation in the schedule on which cases or deaths are reported, such as around holidays, can also cause an irregular pattern in averages. The Times uses an adjustment method to vary the number of days included in an average to remove these irregularities.

Credits

By Jordan Allen, Sarah Almukhtar, Aliza Aufrichtig, Anne Barnard, Matthew Bloch, Sarah Cahalan, Weiyi Cai, Julia Calderone, Keith Collins, Matthew Conlen, Lindsey Cook, Gabriel Gianordoli, Amy Harmon, Rich Harris, Adeel Hassan, Jon Huang, Danya Issawi, Danielle Ivory, K.K. Rebecca Lai, Alex Lemonides, Eleanor Lutz, Allison McCann, Richard A. Oppel Jr., Jugal K. Patel, Alison Saldanha, Kirk Semple, Shelly Seroussi, Julie Walton Shaver, Amy Schoenfeld Walker, Anjali Singhvi, Charlie Smart, Mitch Smith, Albert Sun, Rumsey Taylor, Lisa Waananen Jones, Derek Watkins, Timothy Williams, Jin Wu and Karen Yourish.   ·   Reporting was contributed by Jeff Arnold, Ian Austen, Mike Baker, Brillian Bao, Ellen Barry, Shashank Bengali, Samone Blair, Nicholas Bogel-Burroughs, Aurelien Breeden, Elisha Brown, Emma Bubola, Maddie Burakoff, Alyssa Burr, Christopher Calabrese, Julia Carmel, Zak Cassel, Robert Chiarito, Izzy Colón, Matt Craig, Yves De Jesus, Brendon Derr, Brandon Dupré, Melissa Eddy, John Eligon, Timmy Facciola, Bianca Fortis, Jake Frankenfield, Matt Furber, Robert Gebeloff, Thomas Gibbons-Neff, Matthew Goldstein, Grace Gorenflo, Rebecca Griesbach, Benjamin Guggenheim, Barbara Harvey, Lauryn Higgins, Josh Holder, Jake Holland, Anna Joyce, John Keefe, Ann Hinga Klein, Jacob LaGesse, Alex Lim, Alex Matthews, Patricia Mazzei, Jesse McKinley, Miles McKinley, K.B. Mensah, Sarah Mervosh, Jacob Meschke, Lauren Messman, Andrea Michelson, Jaylynn Moffat-Mowatt, Steven Moity, Paul Moon, Derek M. Norman, Anahad O’Connor, Ashlyn O’Hara, Azi Paybarah, Elian Peltier, Richard Pérez-Peña, Sean Plambeck, Laney Pope, Elisabetta Povoledo, Cierra S. Queen, Savannah Redl, Scott Reinhard, Chloe Reynolds, Thomas Rivas, Frances Robles, Natasha Rodriguez, Jess Ruderman, Kai Schultz, Alex Schwartz, Emily Schwing, Libby Seline, Rachel Sherman, Sarena Snider, Brandon Thorp, Alex Traub, Maura Turcotte, Tracey Tully, Jeremy White, Kristine White, Bonnie G. Wong, Tiffany Wong, Sameer Yasir and John Yoon.   ·   Data acquisition and additional work contributed by Will Houp, Andrew Chavez, Michael Strickland, Tiff Fehr, Miles Watkins, Josh Williams, Nina Pavlich, Carmen Cincotti, Ben Smithgall, Andrew Fischer, Rachel Shorey, Blacki Migliozzi, Alastair Coote, Jaymin Patel, John-Michael Murphy, Isaac White, Steven Speicher, Hugh Mandeville, Robin Berjon, Thu Trinh, Carolyn Price, James G. Robinson, Phil Wells, Yanxing Yang, Michael Beswetherick, Michael Robles, Nikhil Baradwaj, Ariana Giorgi, Bella Virgilio, Dylan Momplaisir, Avery Dews, Bea Malsky, Ilana Marcus, Sean Cataguni and Jason Kao.

About the data

Confirmed cases and deaths, which are widely considered to be an undercount of the true toll, are counts of individuals whose coronavirus infections were confirmed by a molecular laboratory test. Probable cases and deaths count individuals who meet criteria for other types of testing, symptoms and exposure, as developed by national and local governments.

Governments often revise data or report a single-day large increase in cases or deaths from unspecified days without historical revisions, which can cause an irregular pattern in the daily reported figures. The Times is excluding these anomalies from seven-day averages when possible. For agencies that do not report data every day, variation in the schedule on which cases or deaths are reported, such as around holidays, can also cause an irregular pattern in averages. The Times uses an adjustment method to vary the number of days included in an average to remove these irregularities.