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Coronavirus in the U.S.: Latest Map and Case Count

The New York Times

Coronavirus in the U.S.: Latest Map and Case Count

We have published redesigned tracking pages to better reflect the current state of the pandemic. See the new pages here, and read this story to learn more about this change.

New reported cases

Feb. 2020
Sept.
Apr. 2021
Nov.
Jun. 2022
Jan. 2023
200,000
400,000
600,000
800,000 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.

The Times Switches to C.D.C. Covid Data, Ending Daily Collection

lead art for article titled The Times Switches to C.D.C. Covid Data, Ending Daily Collection

As local data sources become less reliable, The Times will instead report information collected by the C.D.C. on its virus tracking pages.

Vaccinations

Fully vaccinated With a booster
All ages
68%
34%
65 and up
93%
67%

See more details ›

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
Oct. 2020
Mar. 2021
Aug.
Jan. 2022
Jun.
Nov.
10 daily admissions
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

Fully vaccinated With a booster
All ages
68%
34%
65 and up
93%
67%

See more details ›

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.

The Times Switches to C.D.C. Covid Data, Ending Daily Collection

lead art for article titled The Times Switches to C.D.C. Covid Data, Ending Daily Collection

As local data sources become less reliable, The Times will instead report information collected by the C.D.C. on its virus tracking pages.

Hot spots

Average daily cases per 100,000 people in past week
10
30
50
70
100
250
Few or no cases
About this data The hot spots map shows the share of population with a new reported case over the last week.

How cases, hospitalizations and deaths are trending

Each chart shows how these three metrics compare to the corresponding peak level reached nationwide before Omicron became the dominant variant. For example, a state’s case line exceeds 100 percent on the chart when its number of cases per capita exceeds the highest number of U.S. cases per capita reached in January 2021.

  • Cases
  • Hospitalizations
  • Deaths

United States

U.S.

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

Louisiana

La.

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

Nebraska

Neb.

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

South Dakota

S.D.

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

Wisconsin

Wis.

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

Alaska

Alaska

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

Illinois

Ill.

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

North Dakota

N.D.

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

Puerto Rico

P.R.

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak

Maine

Maine

March 1, 2022 Mar. 23
50%
100%
150% of pre-Omicron peak
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

Nov. 2021
Mar. 2022
Jul.
Nov.
200 cases
400 cases per 100,000
Fully vaccinated
Feb. 12 - 18 Unvaccinated 3x as high

Average daily deaths

Nov. 2021
Mar. 2022
Jul.
Nov.
2 deaths
4 deaths per 100,000
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
Feb. 2020
Sept.
Apr. 2021
Nov.
Jun. 2022
Jan. 2023
200,000
400,000
600,000
800,000 cases
7-day average
19,508
Test positivity rate
Feb. 2020
Sept.
Apr. 2021
Nov.
Jun. 2022
Jan. 2023
10%
20% positive
7-day average
0
Covid patients in hospitals and I.C.U.s
Early data may be incomplete.
Feb. 2020
Sept.
Apr. 2021
Nov.
Jun. 2022
Jan. 2023
50,000
100,000
150,000 hospitalized
Hospitalized
In I.C.U.s
0
New reported deaths by day
Feb. 2020
Sept.
Apr. 2021
Nov.
Jun. 2022
Jan. 2023
1,000
2,000
3,000 deaths
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
Feb. 2020
Sept.
Apr. 2021
Nov.
Jun. 2022
Jan. 2023
100 cases
200 cases
300 cases per 100,000
Louisiana
About this data Sources: State and local health agencies (cases); Census Bureau (population data).

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.

Tracking the Coronavirus