Showing content from https://www.nytimes.com/interactive/2021/us/covid-cases.html below:
Covid in the U.S.: Latest Maps, Case and Death Counts
New reported cases
7-day average
19,508
Test positivity rate
Feb. 2020 Mar. 2023
Hospitalized
Feb. 2020 Mar. 2023
Deaths
Feb. 2020 Mar. 2023
Daily Avg. on Mar. 23 Per 100,000 14-Day Change Cases 19,508 6 –34% Test positivity 6.7% — –10% Hospitalized 22,522 7 –14% In I.C.U.s 3,013 <1 –11% Deaths 255 <1 –36% About this data Sources: State and local health agencies (cases, deaths); U.S. Department of Health and Human Services (test positivity, hospitalizations, I.C.U. patients). Test positivity, hospitalizations, I.C.U.s and deaths show seven-day averages. Hospitalization data may not yet be available for yesterday. Test positivity is based only on P.C.R. test results reported to the federal government and is for the most recent seven days in which at least 40 states have reported testing data. 14-day change is hidden if not enough data is available to make a comparison. Figures shown are the most recent data available. State of the virus
Update for March 23
- After more than three years of daily reporting of coronavirus data in the United States, The New York Times is ending its Covid-19 data-gathering operation. The Times will continue to publish virus data from the federal government weekly on a new set of tracking pages, but this page will no longer be updated.
- This change was spurred by the declining availability of virus data from state and local health officials. Since few states report more than once a week (and some no longer report data to the public at all), the weekly data reports from the C.D.C. have become the most reliable source of information on the virus’s spread.
- The new tracker pages will be updated once weekly and will highlight hospitalizations, deaths and the C.D.C.’s county-level analysis of virus conditions, among other data.
How to read Covid data now
Higher test positivity rates are a sign that many infections are not reported — even if they are tested for at home. This results in a more severe undercount of cases. The number of hospitalized patients with Covid is a more reliable measure because testing is more consistent in hospitals. Read more about the data.
Vaccinations
About this data Sources: Centers for Disease Control and Prevention, state governments, U.S. Census Bureau. The C.D.C. reported on Nov. 30 that booster doses are sometimes misclassified as first doses, which may overestimate first dose coverage among adults.
Daily new hospital admissions by age
This chart shows for each age group the number of people per 100,000 that were newly admitted to a hospital with Covid-19 each day, according to data reported by hospitals to the U.S. Department of Health and Human Services.
- Under 18
- 18-29
- 30-49
- 50-59
- 60-69
- 70+
- All ages
20 daily admissions per 100,000
About this data Sources: U.S. Department of Health and Human Services (daily confirmed and suspected Covid-19 hospital admissions); Census Bureau (population data). Data prior to October 2020 was unreliable. Data reported in the most recent seven days may be incomplete. Vaccinations
About this data Sources: Centers for Disease Control and Prevention, state governments, U.S. Census Bureau. The C.D.C. reported on Nov. 30 that booster doses are sometimes misclassified as first doses, which may overestimate first dose coverage among adults.
State of the virus
Update for March 23
- After more than three years of daily reporting of coronavirus data in the United States, The New York Times is ending its Covid-19 data-gathering operation. The Times will continue to publish virus data from the federal government weekly on a new set of tracking pages, but this page will no longer be updated.
- This change was spurred by the declining availability of virus data from state and local health officials. Since few states report more than once a week (and some no longer report data to the public at all), the weekly data reports from the C.D.C. have become the most reliable source of information on the virus’s spread.
- The new tracker pages will be updated once weekly and will highlight hospitalizations, deaths and the C.D.C.’s county-level analysis of virus conditions, among other data.
How to read Covid data now
Higher test positivity rates are a sign that many infections are not reported — even if they are tested for at home. This results in a more severe undercount of cases. The number of hospitalized patients with Covid is a more reliable measure because testing is more consistent in hospitals. Read more about the data.
Hot spotsAverage daily cases per 100,000 people in past week About this data The hot spots map shows the share of population with a new reported case over the last week. State trends
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. Select a table header to sort by another metric.
About this data Sources: State and local health agencies (cases, deaths); U.S. Department of Health and Human Services (test positivity, hospitalizations); Centers for Disease Control and state governments (vaccinations); Census Bureau (population and demographic data). Test positivity data is based on viral P.C.R. test results only and is a seven day average. The daily average is calculated with data that was reported in the last seven days. Vaccination data is not available for some states. All-time charts show data from Jan. 21, 2020 to present.
- Cases
- Hospitalizations
- Deaths
About this data Sources: State and local health agencies (cases, deaths); U.S. Department of Health and Human Services (hospitalizations). Rates for vaccinated and unvaccinated
Data from the Centers for Disease Control and Prevention shows that people who are unvaccinated are at a much greater risk than those who are fully vaccinated to die from Covid-19. These charts compare age-adjusted average daily case and death rates for vaccinated and unvaccinated people in the states and cities that provide this data.
Average daily cases
Fully vaccinated
Feb. 12 - 18 Unvaccinated 3x as high
Average daily deaths
Fully vaccinated
Jan. 22 - 28 Unvaccinated 4x as high
About this data Source: Centers for Disease Control and Prevention. This data was first made available on Oct. 19 2021, and is expected to update monthly. The C.D.C. releases the data as a weekly figure per 100,000 and is presented here as a daily average per 100,000 for consistency with other population-adjusted figures on this page. See the notes on the C.D.C.’s page for more information. U.S. trends New reported cases by day
7-day average
19,508
Test positivity rate
7-day average
0
Covid patients in hospitals and I.C.U.s Early data may be incomplete.
Hospitalized
In I.C.U.s
0
New reported deaths by day
7-day average
255
These are days with a reporting anomaly. Read more here.
About this data Sources: State and local health agencies (cases, deaths); U.S. Department of Health and Human Services (test positivity, hospitalizations, I.C.U. patients). The seven-day average is the average of the most recent seven days of data. Figures for Covid patients in hospitals and I.C.U.s are the most recent number of patients with Covid-19 who are hospitalized or in an intensive care unit on that day. Dips and spikes could be due to inconsistent reporting by hospitals. Hospitalization numbers early in the pandemic are undercounts due to incomplete reporting by hospitals to the federal government. Test positivity is based on P.C.R. viral test specimens tested by laboratories and state health departments and reported to the federal government by the 50 states, Washington D.C. and Puerto Rico. Hospitalizations and test positivity are reported based on dates assigned by the U.S. Department of Health and Human Services and are subject to historical revisions. Cases and deaths data are assigned to dates based on when figures are publicly reported. Case and death seven-day averages are adjusted to reduce the impact of anomalous reporting. Certain days with anomalous total case or death reports are excluded from the average or have a portion of their cases and deaths which correspond to data backlogs removed from the average calculation. For the U.S. national case and death count averages, the average is the sum of the average number of cases and deaths in all states and territories each day. This average may not match the average when calculated from the U.S. case and death total in order to account for irregularly timed case and death reports at the state level. For more on how averages are calculated, see the F.A.Q. Cases by region
This chart shows how average daily cases per 100,000 people have changed in different parts of the country. The state with the highest recent average cases per 100,000 people is shown.
- West
- Midwest
- South
- Northeast
Louisiana
About this data Sources: State and local health agencies (cases); Census Bureau (population data). County trends
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. Select a table header to sort by another metric.
Cases
Daily Avg. Per
100,000 14-day
change
Pct.
Pos.
Test
Positivity
Hospitalized
Avg. Per 100,000 14-day
change Deaths
Daily Avg. Per
100,000 Fully
Vaccinated Barnes, N.D. › 6 55 +627% 16% 5 –41% 0 — 60% St. Croix, Wis. › 48 53 +615% 13% 5 –3% <0.1 0.09 52% Bethel Census Area, Alaska › 9 51 –30% 10% 7 –33% 0 — 69% Rolette, N.D. › 6 40 –56% 23% 6 –17% 0 — 76% Webster, La. › 15 40 +468% 9% 6 –34% 0.1 0.30 44% Cibola, N.M. › 10 39 +97% 7% 6 +25% <0.1 0.31 74% Scott, Tenn. › 9 39 +40% 4% — — 0.1 0.58 38% Apache, Ariz. › 28 39 –16% 11% <1 –84% <0.1 0.06 95% Powell, Ky. › 5 38 +10% 9% 4 –46% <0.1 0.20 54% Concordia, La. › 7 38 +143% 0% 4 –54% 0 — 45% About this data Sources: State and local health agencies (cases, deaths); U.S. Department of Health and Human Services (test positivity, hospitalizations); Centers for Disease Control and state governments (vaccinations). The daily average for cases and hospitalizations is calculated with data that was reported in the last seven days. The daily average for deaths is calculated with data reported in the last 30 days. Counties with fewer than 10,000 residents are not shown. Test positivity data is based on viral P.C.R. test results only and is a seven day average. Hospitalized figures are updated once a week for each county and show the average number of Covid-19 patients hospitalized per 100,000 residents within any hospital service areas that intersect with the county, or in some cases, within any hospital referral regions that intersect with the county. Vaccination data is not available for some counties. All-time charts show data from Jan. 21, 2020 to present. About the data
The Times has identified reporting anomalies or methodology changes in the data.
More about reporting anomalies or changes
- Feb. 28, 2023: The Times is using C.D.C. data based on death certificates for locations that do not report deaths regularly or comprehensively. The federal data updates approximately once a month and appears as a spike in deaths on the day it updates.
- Jan. 4, 2023: The Times is using C.D.C. data based on death certificates for locations that do not report deaths regularly or comprehensively. The federal data updates approximately once a month and appears as a spike in deaths on the day it updates.
- Dec. 8, 2022: The Times is using C.D.C. data based on death certificates for locations that do not report deaths regularly or comprehensively. The federal data updates approximately once a month and appears as a spike in deaths on the day it updates.
- Nov. 11, 2022: The Times began including death certificate data reconciled by the C.D.C., resulting in a one-day increase in total deaths.
- March 14, 2022: The cumulative number of deaths decreased because Massachusetts removed many previously reported deaths.
- Jan. 17, 2022: The daily count is artificially low on Jan. 17 because many states and local jurisdictions did not announce new data on the Martin Luther King Jr. Day holiday.
- Dec. 25, 2021: The daily count is artificially low on Dec. 25 because many states and local jurisdictions did not announce new data on Christmas.
- Nov. 25, 2021: The daily count is artificially low on Nov. 25 because many states and local jurisdictions did not announce new data on Thanksgiving.
- Nov. 11, 2021: The daily count is artificially low on Nov. 11 because many states and local jurisdictions did not announce new data on Veterans Day.
- Nov. 1, 2021: Minnesota added more than 8,000 cases from previous months representing people who were infected twice.
- Oct. 10, 2021: Arkansas added many deaths. The state indicated that many of the 289 deaths announced were from previous months.
- Sept. 6, 2021 to Sept. 7, 2021: The daily count is artificially low on Sept. 6 and high on Sept. 7 because many states and local jurisdictions did not announce new data on Labor Day.
- July 30, 2021: Delaware added many deaths from previous months.
- July 8, 2021: The Times added recently released probable cases in many California counties.
- July 2, 2021: Santa Clara County, Calif., officials revised their total death toll downward after a review of records.
- July 1, 2021: California began reporting probable cases based on antigen testing.
- June 4, 2021: Florida stopped providing daily updates and removed many nonresident cases.
- May 31, 2021: The daily count is artificially low because many states and local jurisdictions did not announce new data on Memorial Day.
- May 27, 2021: Maryland added many backlogged deaths.
- May 26, 2021: Oklahoma added many backlogged deaths.
- April 26, 2021: New Jersey removed more than 10,000 duplicate cases.
- April 7, 2021: Oklahoma added many deaths from previous months.
- March 8, 2021: Missouri began reporting probable cases identified through antigen testing.
- March 2, 2021: Ohio removed many deaths after changing its methodology, resulting in an artificially low daily count.
- Feb. 13, 2021: Ohio added many backlogged deaths from recent months.
- Feb. 12, 2021: Ohio added many backlogged deaths from recent months.
- Feb. 11, 2021: Ohio added many backlogged deaths from recent months.
- Feb. 4, 2021: Indiana announced about 1,500 deaths from previous months after reconciling records.
- Jan. 2, 2021: The daily count is artificially high because many states and local jurisdictions announced backlogged data after not announcing new data on New Year's Day.
- Jan. 1, 2021: The daily count is artificially low because many states and local jurisdictions did not announce new data on New Year's Day.
- Dec. 25, 2020: The daily count is artificially low because many states and local jurisdictions did not announce new data on Christmas.
- Dec. 11, 2020: Texas began reporting probable cases, resulting in a one-day increase of about 44,000 cases.
- Nov. 26, 2020: Cases and deaths were lower because 14 states reported no new data, and six states had only incomplete data from select counties.
- Nov. 4, 2020: Georgia began reporting probable deaths, causing a one-day increase.
- Sept. 21, 2020: Texas added thousands of undated, backlogged cases, causing a spike in the state and national data.
- July 27, 2020: Texas began reporting deaths based on death certificates, causing a one-day increase.
- June 30, 2020: New York City added a backlog of deaths from unspecified dates.
- June 25, 2020: New Jersey began reporting probable deaths, including those from earlier in the pandemic, causing a jump in the number of total deaths.
- To see a detailed list of all reporting anomalies, visit the individual state pages listed at the bottom of this page.
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, 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
The Times has identified reporting anomalies or methodology changes in the data.
More about reporting anomalies or changes
- Feb. 28, 2023: The Times is using C.D.C. data based on death certificates for locations that do not report deaths regularly or comprehensively. The federal data updates approximately once a month and appears as a spike in deaths on the day it updates.
- Jan. 4, 2023: The Times is using C.D.C. data based on death certificates for locations that do not report deaths regularly or comprehensively. The federal data updates approximately once a month and appears as a spike in deaths on the day it updates.
- Dec. 8, 2022: The Times is using C.D.C. data based on death certificates for locations that do not report deaths regularly or comprehensively. The federal data updates approximately once a month and appears as a spike in deaths on the day it updates.
- Nov. 11, 2022: The Times began including death certificate data reconciled by the C.D.C., resulting in a one-day increase in total deaths.
- March 14, 2022: The cumulative number of deaths decreased because Massachusetts removed many previously reported deaths.
- Jan. 17, 2022: The daily count is artificially low on Jan. 17 because many states and local jurisdictions did not announce new data on the Martin Luther King Jr. Day holiday.
- Dec. 25, 2021: The daily count is artificially low on Dec. 25 because many states and local jurisdictions did not announce new data on Christmas.
- Nov. 25, 2021: The daily count is artificially low on Nov. 25 because many states and local jurisdictions did not announce new data on Thanksgiving.
- Nov. 11, 2021: The daily count is artificially low on Nov. 11 because many states and local jurisdictions did not announce new data on Veterans Day.
- Nov. 1, 2021: Minnesota added more than 8,000 cases from previous months representing people who were infected twice.
- Oct. 10, 2021: Arkansas added many deaths. The state indicated that many of the 289 deaths announced were from previous months.
- Sept. 6, 2021 to Sept. 7, 2021: The daily count is artificially low on Sept. 6 and high on Sept. 7 because many states and local jurisdictions did not announce new data on Labor Day.
- July 30, 2021: Delaware added many deaths from previous months.
- July 8, 2021: The Times added recently released probable cases in many California counties.
- July 2, 2021: Santa Clara County, Calif., officials revised their total death toll downward after a review of records.
- July 1, 2021: California began reporting probable cases based on antigen testing.
- June 4, 2021: Florida stopped providing daily updates and removed many nonresident cases.
- May 31, 2021: The daily count is artificially low because many states and local jurisdictions did not announce new data on Memorial Day.
- May 27, 2021: Maryland added many backlogged deaths.
- May 26, 2021: Oklahoma added many backlogged deaths.
- April 26, 2021: New Jersey removed more than 10,000 duplicate cases.
- April 7, 2021: Oklahoma added many deaths from previous months.
- March 8, 2021: Missouri began reporting probable cases identified through antigen testing.
- March 2, 2021: Ohio removed many deaths after changing its methodology, resulting in an artificially low daily count.
- Feb. 13, 2021: Ohio added many backlogged deaths from recent months.
- Feb. 12, 2021: Ohio added many backlogged deaths from recent months.
- Feb. 11, 2021: Ohio added many backlogged deaths from recent months.
- Feb. 4, 2021: Indiana announced about 1,500 deaths from previous months after reconciling records.
- Jan. 2, 2021: The daily count is artificially high because many states and local jurisdictions announced backlogged data after not announcing new data on New Year's Day.
- Jan. 1, 2021: The daily count is artificially low because many states and local jurisdictions did not announce new data on New Year's Day.
- Dec. 25, 2020: The daily count is artificially low because many states and local jurisdictions did not announce new data on Christmas.
- Dec. 11, 2020: Texas began reporting probable cases, resulting in a one-day increase of about 44,000 cases.
- Nov. 26, 2020: Cases and deaths were lower because 14 states reported no new data, and six states had only incomplete data from select counties.
- Nov. 4, 2020: Georgia began reporting probable deaths, causing a one-day increase.
- Sept. 21, 2020: Texas added thousands of undated, backlogged cases, causing a spike in the state and national data.
- July 27, 2020: Texas began reporting deaths based on death certificates, causing a one-day increase.
- June 30, 2020: New York City added a backlog of deaths from unspecified dates.
- June 25, 2020: New Jersey began reporting probable deaths, including those from earlier in the pandemic, causing a jump in the number of total deaths.
- To see a detailed list of all reporting anomalies, visit the individual state pages listed at the bottom of this page.
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.
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