Italy Coronavirus Map and Case Count
Tracking Coronavirus in Italy: Latest Map and Case Count
New reported cases
| Daily Avg. on Mar. 9 | Per 100,000 | 14-Day Change | |
|---|---|---|---|
| Cases | 3,808 | 6 | –6% |
| Deaths | 33 | <1 | –24% |
About this data
Source: Data for Italy comes from the Italian Department of Civil Protection. Population data from the Italian National Institute of 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 weekAbout this data
The hot spots map shows the share of population with a new reported case over the last week.Vaccinations
Fully vaccinated
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 3,808 cases per day were reported in Italy in the last week. Cases have decreased by 6 percent from the average two weeks ago. Deaths have decreased by 24 percent.
- Since the beginning of the pandemic, a total of 25,627,473 cases have been reported. At least 1 in 320 residents have died from the coronavirus, a total of 188,538 deaths.
- January 2022 was the month with the highest average cases, while December 2020 was the month with the highest average deaths in Italy.
Latest trends by region
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 | |
|---|---|---|---|
| ItalyItaly | 3,808 | 6 | –6%
 |
| Lazio | 745 | 13 | +5%
 |
| Veneto | 491 | 10 | –3%
 |
| Umbria | 86 | 10 | –1%
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| Trentino-Alto Adige | 87 | 8 | +6%
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| Abruzzo | 98 | 8 | –7%
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| Valle d'Aosta | 9 | 7 | +167%
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| Friuli Venezia Giulia | 76 | 6 | –20%
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| Emilia-Romagna | 275 | 6 | –9%
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| Tuscany | 226 | 6 | –6%
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| Lombardy | 562 | 6 | –6%
 |
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.Latest trends by province
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 | |
|---|---|---|---|
| Rome | 600 | 14 | +3%
 |
| Treviso | 104 | 12 | +22%
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| Padua | 109 | 12 | –11%
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| Venice | 98 | 12 | –2%
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| Frosinone | 55 | 11 | +29%
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| Latina | 59 | 10 | +2%
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| Bolzano | 52 | 10 | +17%
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| Terni | 22 | 10 | +36%
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| Perugia | 61 | 9 | –10%
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| Rovigo | 22 | 9 | –28%
 |
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 Italy
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.Credits
By Jordan Allen, Sarah Almukhtar, Aliza Aufrichtig, Anne Barnard, Matthew Bloch, Penn Bullock, 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
Data for Italy comes from the Italian Department of Civil Protection. Population data from the Italian National Institute of Statistics.
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.