COVID-19 Data for Pennsylvania*
* Map, tables, case counts and deaths last updated at 12:00 p.m. on 5/30/2020
Source: Pennsylvania National Electronic Disease Surveillance System (PA-NEDSS) as of 12:00 a.m. on 5/30/2020
Page last updated: 12:00 p.m. on 5/30/2020
View the beta version of the Pennsylvania COVID-19 Dashboard.
Case Counts, Deaths, and Negatives
|
Total Cases* | Deaths |
Negative** |
Recovered*** |
71,415
| 5,537
| 375,731 | 66% |
* Total case counts include confirmed and probable cases.
** Negative case data only includes negative PCR tests. Negative case data does not include negative antibody tests.
***
Individuals who have recovered is determined using a calculation, similar to what is being done by several other states. If a case has not been reported as a death, and it is more than 30 days past the date of their first positive test (or onset of symptoms) then an individual is considered recovered.
Confirmed Cases
|
Probable Case by Definition and High-Risk Exposure | Probable Case by Serology Test and Either Symptoms or High-Risk Exposure |
| 69,424 | 1,991
| 616 |
Hospital Data
Trajectory Animations
Positive Cases by Age Range to Date
Age Range
| Percent of Cases*
|
| 0-4 | < 1%
|
| 5-12 | < 1%
|
| 13-18 | 2%
|
| 19-24 | 6% |
| 25-49 | 37% |
| 50-64 | 25% |
* Percentages may not total 100% due to rounding
Hospitalization Rates by Age Range to Date
Age Range
| Percent of Cases*
|
| 0-4 | < 1%
|
| 5-12 | < 1%
|
| 13-18 |
< 1%
|
| 19-24 | 1% |
| 25-49 | 16% |
| 50-64 | 26% |
* Percentages may not total 100% due to rounding
Death Data
County Case Counts to Date
| County | Total Cases | Negatives |
| Adams | 245 | 3065 |
| Allegheny | 1897 | 30129 |
| Armstrong | 62 | 1245 |
| Beaver | 589 | 3720 |
| Bedford | 39 | 766 |
| Berks | 4002 | 11582 |
| Blair | 50 | 2777 |
| Bradford | 46 | 1555 |
| Bucks | 5050 | 19596 |
| Butler | 229 | 3721 |
| Cambria | 57 | 3809 |
| Cameron | 2 | 127 |
| Carbon | 235 | 2356 |
| Centre | 152 | 2078 |
| Chester | 2669 | 12463 |
| Clarion | 27 | 677 |
| Clearfield | 39 | 1101 |
| Clinton | 56 | 597 |
| Columbia | 346 | 1343 |
| Crawford | 29 | 1078 |
| Cumberland | 626 | 5423 |
| Dauphin | 1258 | 10021 |
| Delaware | 6420 | 20793 |
| Elk | 6 | 323 |
| Erie | 274 | 4964 |
| Fayette | 95 | 3276 |
| Forest | 7 | 80 |
| Franklin | 767 | 5173 |
| Fulton | 15 | 227 |
| Greene | 27 | 778 |
| Huntingdon | 230 | 868 |
| Indiana | 91 | 1421 |
| Jefferson | 9 | 519 |
| Juniata | 95 | 341 |
| Lackawanna | 1543 | 6166 |
| Lancaster | 3131 | 15889 |
| Lawrence | 79 | 1342 |
| Lebanon | 958 | 4551 |
| Lehigh | 3747 | 14084 |
| Luzerne | 2722 | 10929 |
| Lycoming | 164 | 2278 |
| McKean | 12 | 610 |
| Mercer | 107 | 1602 |
| Mifflin | 59 | 1233 |
| Monroe | 1318 | 5914 |
| Montgomery | 7006 | 34404 |
| Montour | 50 | 3243 |
| Northampton | 3062 | 13304 |
| Northumberland | 190 | 1418 |
| Perry | 57 | 759 |
| Philadelphia | 18347 | 58315 |
| Pike | 476 | 2014 |
| Potter | 4 | 148 |
| Schuylkill | 623 | 4971 |
| Snyder | 42 | 403 |
| Somerset | 38 | 1806 |
| Sullivan | 3 | 96 |
| Susquehanna | 109 | 787 |
| Tioga | 17 | 571 |
| Union | 59 | 1172 |
| Venango | 9 | 555 |
| Warren | 3 | 386 |
| Washington | 139 | 4370 |
| Wayne | 119 | 1028 |
| Westmoreland | 447 | 9258 |
| Wyoming | 34 | 486 |
| York | 1000 | 13647 |
Incidence by County
Incidence is calculated by dividing the current number of confirmed and probable COVID-19 cases reported to the Department by the 2018 county population data available from the Bureau of Health Statistics. The counties are divided into 6 relatively equally-sized groups based on their incidence rate (i.e. sestiles). Cases are determined using a national COVID-19 case definition. There currently is no way to estimate the true number of infected persons. Incidence rates are based on the number of known cases, not the number of true infected persons.
Case Counts by Sex to Date
| Sex | Positive Cases | Percent of Cases* |
| Female | 39,119 | 55% |
| Male | 31,585 | 44% |
| Neither | 3 | 0% |
| Not reported | 708 | 1% |
* Percentages may not total 100% due to rounding
Case Counts by Race to Date*
| Race | Positive Cases | Percent of Cases**
|
| African American/Black | 8724 | 12% |
| Asian | 1028 | 1% |
| White | 19,634 | 27% |
| Other | 427 | 1% |
| Not reported | 41,602 | 58% |
* 58% of race is not reported. Little data is available on ethnicity.
** Percentages may not total 100% due to rounding
Case Counts by Region to Date
| Region | Positive | Negative | Inconclusive |
| Northcentral | 1054 | 14902 | 17 |
| Northeast | 13056 | 57068 | 151 |
| Northwest | 512 | 13364 | 19 |
| Southcentral | 5213 | 48851 | 81 |
| Southeast | 46148 | 178013 | 956 |
| Southwest | 3441 | 63533 | 46 |
EpiCurve by Region
Case counts are displayed by the date that the cases were first reported to the PA-NEDSS surveillance system. Case counts by date of report can vary significantly from day to day for a variety of reasons. In addition to changes due to actual changes in disease incidence, trends are strongly influenced by testing patterns (who gets tested and why), testing availability, lab analysis backlogs, lab reporting delays, new labs joining our electronic laboratory reporting system, mass screenings, etc. Trends need to be sustained for at least 2-3 weeks before any conclusions can be made regarding the progress of the pandemic.
COVID-19 Cases Associated with Nursing Homes and Personal Care Homes to Date
This data represents long-term care facilities in Pennsylvania, including Department of Health and Department of Human Services regulated facilities.