View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Hospitalizations by AgeCOVID Hospitalizations by RaceCOVID Hospitalizations by SexCOVID Hospitalizations by WeekCOVID Hospitalizations by ZIP CodeFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

***As of May 2022, these datasets moved from daily updates to weekly updates. *** For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data. Deidentified, aggregate datasets showing COVID deaths by date, zip, race, or age. You can find COVID cases datasets here. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have less than 6 counts (i.e. of cases or fatalities).

As of May 2022, these datasets moved from daily updates to weekly updates every Monday. For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. To keep things clear, the field name in the COVID Outcome by Date files also changed from 'Result_Date' to 'CollectionDate.' These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data. Deidentified, aggregate datasets showing COVID tests by date, zip, and outcome and cases by race, age or sex. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have less than 6 counts (i.e. of tests or fatalities).

Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. Although these data will continue to be publicly available, this dataset will no longer be updated.

Weekly COVID-19 Community Levels (CCLs) have been replaced with levels of COVID-19 hospital admission rates (low, medium, or high) which demonstrate >99% concordance by county during February 2022–March 2023. For more information on the latest COVID-19 status levels in your area and hospital admission rates, visit United States COVID-19 Hospitalizations, Deaths, and Emergency Visits by Geographic Area.

This archived public use dataset contains historical case and percent positivity data updated weekly for all available counties and jurisdictions. Each week, the dataset was refreshed to capture any historical updates. Please note, percent positivity data may be incomplete for the most recent time period.

This archived public use dataset contains weekly community transmission levels data for all available counties and jurisdictions since October 20, 2022. The dataset was appended to contain the most recent week's data as originally posted on COVID Data Tracker. Historical corrections are not made to these data if new case or testing information become available. A separate archived file is made available here (: Weekly COVID-19 County Level of Community Transmission Historical Changes) if historically updated data are desired.

Related data CDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with the levels as originally posted (Weekly Originally Posted dataset), updated weekly with the most recent week’s data since October 20, 2022, and a historical dataset with the county-level transmission data from January 22, 2020 (Weekly Historical Changes dataset).

Methods for calculating county level of community transmission indicator The County Level of Community Transmission indicator uses two metrics: (1) total new COVID-19 cases per 100,000 persons in the last 7 days and (2) percentage of positive SARS-CoV-2 diagnostic nucleic acid amplification tests (NAAT) in the last 7 days. For each of these metrics, CDC classifies transmission values as low, moderate, substantial, or high (below and here). If the values for each of these two metrics differ (e.g., one indicates moderate and the other low), then the higher of the two should be used for decision-making.

CDC core metrics of and thresholds for community transmission levels of SARS-CoV-2 Total New Case Rate Metric: "New cases per 100,000 persons in the past 7 days" is calculated by adding the number of new cases in the county (or other administrative level) in the last 7 days divided by the population in the county (or other administrative level) and multiplying by 100,000. "New cases per 100,000 persons in the past 7 days" is considered to have a transmission level of Low (0-9.99); Moderate (10.00-49.99); Substantial (50.00-99.99); and High (greater than or equal to 100.00).

Test Percent Positivity Metric: "Percentage of positive NAAT in the past 7 days" is calculated by dividing the number of positive tests in the county (or other administrative level) during the last 7 days by the total number of tests conducted over the last 7 days. "Percentage of positive NAAT in the past 7 days" is considered to have a transmission level of Low (less than 5.00); Moderate (5.00-7.99); Substantial (8.00-9.99); and High (greater than or equal to 10.00).

If the two metrics suggest different transmission levels, the higher level is selected.

The reported transmission categories include:

Low Transmission Threshold: Counties with fewer than 10 total cases per 100,000 population in the past 7 days, and a NAAT percent test positivity in the past 7 days below 5%;

Moderate Transmission Threshold: Counties with 10-49 total cases per 100,000 population in the past 7 days or a NAAT test percent positivity in the past 7 days of 5.0-7.99%;

Substantial Transmission Threshold: Counties with 50-99 total cases per 100,000 population in the past 7 days or a NAAT test percent positivity in the past 7 days of 8.0-9.99%;

High Transmission Threshold: Counties with 100 or more total cases per 100,000 population in the past 7 days or a NAAT test percent positivity in the past 7 days of 10.0% or greater.

Blank: total new cases in the past 7 days are not reported (county data known to be unavailable) and the percentage of positive NAATs tests during the past 7 days (blank) are not reported.

The data in this dataset are considered provisional by CDC and are subject to change until the data are reconciled and verified with the state and territorial data providers.

This dataset is created using CDC’s Policy on Public Health Research and Nonresearch Data Management and Access.

Archived data CDC has archived two prior versions of these datasets. Both versions contain the same 7 data elements reflecting community transmission levels for all available counties and jurisdictions; however, the datasets were updated daily. The archived datasets can be found here:

Archived Originally Posted dataset

Archived Historical Changes dataset

Archived Data Notes:

October 20, 2022: Due to the Mississippi case data dashboard not being updated this week, case rates for all Mississippi counties are reported as 0 in the COVID-19 Community Transmission Level data released on October 20, 2022. This could lead to the COVID-19 Community Transmission Levels metrics for Mississippi counties being underestimated; therefore, they should be interpreted with caution.

October 20, 2022: Due to a data reporting error, the case rate for Philadelphia County, Pennsylvania is lower than expected in the COVID-19 Community Transmission Level data released on October 20, 2022. This could lead to the COVID-19 Community Transmission Level for Philadelphia County being underestimated; therefore, it should be interpreted with caution.

October 28, 2022: Due to a data processing error, case rates for Kentucky appear higher than expected in the weekly release on October 28, 2022. Therefore, the COVID-19 Community Transmission Levels metrics for Kentucky counties may be overestimated and should be interpreted with caution.

November 3, 2022: Due to a reporting cadence issue, case rates for Missouri counties are calculated based on 11 days’ worth of case count data in the COVID-19 Community Transmission Level data released on November 3, 2022, instead of the customary 7 days’ worth of data. This could lead to the COVID-19 Community Transmission Levels metrics for Missouri counties being overestimated; therefore, they should be interpreted with caution.

November 10, 2022: Due to a reporting cadence change, case rates for Alabama counties are calculated based on 13 days’ worth of case count data in the COVID-19 Community Transmission Level data released on November 10, 2022, instead of the customary 7 days’ worth of data. This could lead to the COVID-19 Community Transmission Levels metrics for Alabama counties being overestimated; therefore, they should be interpreted with caution.

November 10, 2022: Per the request of the jurisdiction, cases among non-residents have been removed from all Hawaii county totals throughout the entire time series. Cumulative case counts reported by CDC will no longer match Hawaii’s COVID-19 Dashboard, which still includes non-resident cases. 

November 10, 2022: Due to a reporting cadence issue, case rates for all Mississippi counties are reported as 0 in the COVID-19 Community Transmission data released on November 10, 2022. This could lead to the COVID-19 Community Transmission Levels metrics for Mississippi counties being underestimated; therefore, they should be interpreted with caution. 

November 10, 2022: In the COVID-19 Community Transmission Level data released on November 10, 2022, multiple municipalities in Puerto Rico are reporting higher than expected increases in case counts. CDC is working with territory officials to verify the data submitted. 

November 25, 2022: Due to a reporting cadence change for the Thanksgiving holiday, case rates for all Ohio counties are calculated based on 13 days' worth of case counts in the COVID-19 Community Transmission Level data released on November 25, 2022, instead of the customary 7 days’ worth of data. This could lead to the COVID-19 Community Transmission Levels metrics for all Ohio counties being overestimated; therefore, they should be interpreted with caution.

November 25, 2022: Due to the Thanksgiving holiday, CDC did not receive updated case data from the following jurisdictions: Rhode Island and Mississippi. As a result, case rates for all counties within these jurisdictions are reported as 0 in the COVID-19 Community Transmission Level Data

View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates every Monday.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Cases by AgeCOVID Cases by DateCOVID Cases by OutcomeCOVID Cases by SexCOVID Cases by ZIPFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

The City of Philadelphia's datasets are snapshots published on a daily basis. These data sets include de-identified, aggregate datasets showing COVID-19 cases, hospitalizations, and deaths by date, zip code, race, and age/sex and are made available accumulated into historical data sets of the daily snapshots collected. The cases and deaths by date, zip code, and age/sex are accumulated since 6/4/2020. Cases and death by race and hospitalizations are accumulated since 8/15/2020. Data is collected from the City's data published at https://www.opendataphilly.org/showcase/philadelphia-covid-19-information through a daily scrape of the web site.

View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates every Monday.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Cases by DateCOVID Cases by OutcomeCOVID Cases by RaceCOVID Cases by SexCOVID Cases by ZIPFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Deaths by AgeCOVID Deaths by RaceCOVID Deaths by WeekCOVID Deaths by ZIP CodeFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

As included in this EnviroAtlas dataset, the community level domestic water use was calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Domestic water demand was calculated and applied using the Pennsylvania Department of Environmental Protection (PADEP) PWS Service Areas layer, population served per provider, and average domestic water use per provider. Within the EnviroAtlas study area, there are 108 service providers with 2016 estimates ranging from 26 to 323 GPD. In the absence of finer scale data, USGS Water Use Report county-level estimates were used for the study area extending into Delaware (80 GPD), Maryland (71 GPD), and New Jersey (80 GPD). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Runoff from heavy precipitation events can lead to microbiological contamination of source waters for public drinking water supplies. Philadelphia is a city of interest for a study of waterborne acute gastrointestinal illness (AGI) because of frequent heavy precipitation, extensive impervious landcover, and combined sewer systems that lead to overflows. We conducted a time-series analysis of the association between heavy precipitation and AGI incidence in Philadelphia, served by drinking water from Delaware River and Schuylkill River source waters. AGI cases on each day during the study period (2015–2017) were captured through syndromic surveillance of patients’ chief complaint upon presentation at local emergency departments. Daily precipitation was represented by measurements at the Philadelphia International Airport and by modeled precipitation within the watershed boundaries, and we also evaluated stream flowrate as a proxy of precipitation. We estimated the association using distributed lag nonlinear models, assuming a quasi-Poisson distribution of the outcome variable and with adjustment for potential confounding by seasonal and long-term time trends, ambient temperature, day-of-week, and major holidays. We observed an association between heavy precipitation and AGI incidence in Philadelphia that was primarily limited to the spring season, with significant increases in AGI that peaked from 8 to 16 days following a heavy precipitation event. For example, the increase in AGI incidence related to airport precipitation above the 95th percentile (vs no precipitation) during spring reached statistical significance on lag day 7, peaked on day 16 (102% increase, 95% confidence interval: 16%, 252%), and declined while remaining significantly elevated through day 28. Similar associations were observed in analyses of watershed-specific precipitation in relation to AGI cases within the populations served by drinking water from each river. Our results suggest that heavy precipitation events in Philadelphia result in detectable local increases in waterborne AGI.

Daily cholera case counts in Philadelphia and New York, 1832.

View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Hospitalizations by AgeCOVID Hospitalizations by DateCOVID Hospitalizations by RaceCOVID Hospitalizations by WeekCOVID Hospitalizations by ZIP CodeFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates every Monday.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Cases by AgeCOVID Cases by DateCOVID Cases by OutcomeCOVID Cases by RaceCOVID Cases by ZIPFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Hospitalizations by DateCOVID Hospitalizations by RaceCOVID Hospitalizations by SexCOVID Hospitalizations by WeekCOVID Hospitalizations by ZIP CodeFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Hospitalizations by AgeCOVID Hospitalizations by DateCOVID Hospitalizations by RaceCOVID Hospitalizations by SexCOVID Hospitalizations by ZIP CodeFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Deaths by AgeCOVID Deaths by DateCOVID Deaths by RaceCOVID Deaths by WeekFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

SummaryThe cumulative number of positive COVID-19 cases among Maryland residents.DescriptionThe MD COVID-19 - Total Cases Statewide data layer is a collection of the statewide positive COVID-19 test results that have been reported each day by each local health department via the ESSENCE system.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

SummaryThe cumulative number of probable COVID-19 deaths among Maryland residents by gender: Female; Male; Unknown.DescriptionThe MD COVID-19 - Probable Deaths by Gender Distribution data layer is a collection of the statewide confirmed and probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by gender. A death is classified as probable if the person's death certificate notes COVID-19 to be a probable, suspect or presumed cause or condition. Probable deaths are not yet been confirmed by a laboratory test. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Confirmed deaths are available from the MD COVID-19 - Confirmed Deaths by Gender Distribution data layer.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

SummaryThe cumulative number of COVID-19 positive Maryland residents who have been hospitalized.DescriptionThe MD COVID-19 - Total Hospitalizations data layer is a collection of the statewide cumulative total of individuals who tested positive for COVID-19 that have been reported each day by each local health department as having been hospitalized. As published to coronavirus.maryland.gov, this is the "Ever Hospitalized" number. "Ever Hospitalized" refers to the cumulative number of individuals who were admitted to the hospital at some point during their COVID-19 illness.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

Check out the Year to Date Dashboard or the Year End Dashboard for this dataset. You can also use the data download tool to choose the topic of interest (i.e. arrests), the geography level (i.e. police district), and time frame to export as a csv or json dataset.View metadata for key information about this dataset.Philadelphia’s District Attorney’s Office (DAO) releases interactive data reports on the their work, including incidents (from the Philadelphia Police Department), arrests, charges, bail, outcomes, case length, future years of incarceration, future years of supervision, summary arrests, summary charges, summary case outcomes, and summary case lengths. Dashboards are organized into final year-end data (updated at the end of each year) and year-to-date data (updated daily). Each dashboard displays one or more interactive graphs showing trends, a table of data, and, optionally, an interactive map displaying the data by police districts. The dashboard does not provide for downloading data.See this data at different boundary levels:CASE_LENGTH_CENSUSCASE_LENGTH_CITYWIDECASE_LENGTH_ZIPCODEFor questions about this dataset, contact nathaniel.lownes@phila.gov. For technical assistance, email maps@phila.gov.