20 datasets found
  1. a

    COVID CASES BY RACE

    • data-phl.opendata.arcgis.com
    • hub.arcgis.com
    Updated Sep 23, 2021
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    City of Philadelphia (2021). COVID CASES BY RACE [Dataset]. https://data-phl.opendata.arcgis.com/maps/phl::covid-cases-by-race
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    Dataset updated
    Sep 23, 2021
    Dataset authored and provided by
    City of Philadelphia
    Description

    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.

  2. M

    COVID Tests and Cases

    • catalog.midasnetwork.us
    Updated Jul 6, 2023
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    MIDAS Coordination Center (2023). COVID Tests and Cases [Dataset]. https://catalog.midasnetwork.us/collection/114
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    application/geo+json, json, application/vnd.shp, csvAvailable download formats
    Dataset updated
    Jul 6, 2023
    Dataset authored and provided by
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Variables measured
    disease, COVID-19, pathogen, case counts, Homo sapiens, host organism, age-stratified, mortality data, phenotypic sex, diagnostic tests, and 4 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    Datasets include deidentified, aggregate COVID-19 tests and cases data in Philadelphia broken down by date, zip, outcome and cases by race, age or sex collected by the Philadelphia Department of Public Health. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have less than 6 counts.

  3. Weekly COVID-19 County Level of Community Transmission Historical Changes -...

    • data.cdc.gov
    • healthdata.gov
    • +1more
    application/rdfxml +5
    Updated May 8, 2024
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    CDC COVID-19 Response (2024). Weekly COVID-19 County Level of Community Transmission Historical Changes - ARCHIVED [Dataset]. https://data.cdc.gov/w/jgk8-6dpn/tdwk-ruhb?cur=33xaGc7dKfL&from=Een_untMp8X
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    tsv, application/rssxml, application/rdfxml, json, csv, xmlAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    Reporting of Aggregate Case and Death Count data was discontinued May 11, 2023, with the expiration of the COVID-19 public health emergency declaration. This dataset will receive a final update on June 1, 2023, to reconcile historical data through May 10, 2023, and will remain publicly available.

    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.

    Related data CDC provides the public with two active versions of COVID-19 county-level community transmission level data: this dataset with historical case and percent positivity data for each county from January 22, 2020 (Weekly Historical Changes dataset) and a dataset with the levels as originally posted (Weekly Originally Posted dataset) since October 20, 2022. Please navigate to the Weekly Originally Posted dataset for the Community Transmission Levels published weekly on Thursdays.

    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 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 resulted over the last 7 days. "Percentage of positive NAAT in the past 7 days" is considered to have 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).

    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 updated daily. The archived datasets can be found here:

    Archived Originally Posted dataset

    Archived Historical Changes dataset

    Archived Data Notes:

    October 27, 2022: Due to a processing issue this dataset will not be posted this week. CDC is currently working to address the issue and will publish the data when able.

    November 10, 2022: As of 11/10/2022, this dataset will continue to incorporate historical updates made to case and percent positivity data; however, community transmission level will only be published in the corresponding Weekly COVID-19 County Level of Community Transmission as Originally Posted dataset (Weekly Originally Posted dataset).

    Note:

    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.

    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: 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. 

    December 1, 2022: Due to cadence changes over the Thanksgiving holiday, case rates for all Ohio counties are reported as 0 in the COVID-19 Community Transmission Level data released on December 1, 2022. Therefore, the COVID-19 Community Transmission Levels may be underestimated and should be interpreted with caution. 

    December 22, 2022: Due to an internal revision process, case rates for some Tennessee counties may appear higher than expected in the December 22, 2022, weekly release. Therefore, the COVID-19 Community Transmission Levels metrics for some Tennessee counties may be overestimated and should be interpreted with caution.

    December 22, 2022: Due to reporting of a backlog of historic COVID-19 cases, case rates for some Louisiana counties will appear higher than expected in the December 22, 2022, weekly release. Therefore, the COVID-19 Community Transmission Levels metrics for some Louisiana counties may be overestimated and should be interpreted with caution.

    December 29, 2022: Due to technical difficulties, county data from Alabama could not be incorporated via standard practices. As a result, case and death metrics will be reported as 0 in the December 29, 2022, weekly release. Therefore, the COVID-19 Community Transmission Levels metrics for Alabama counties will be underestimated and should be interpreted with caution.

    January 5, 2023: Due to a reporting cadence issue, case rates for all Alabama counties will be calculated based on 14 days’ worth of case count data in the COVID-19 Community Transmission Level information released on January 5, 2023, instead of the customary 7 days’ worth of case count data. Therefore, the weekly case rates will be overestimated, which could affect counties’ COVID-19 Community Transmission Level classification and should be interpreted with caution.

    January 5, 2023: Due to North Carolina’s holiday reporting cadence, aggregate case data will contain 14 days’ worth of data instead of the customary 7 days. As a result, case metrics will appear higher than expected in the January 5, 2023, weekly release. COVID-19 Community Transmission metrics may be overestimated and should be interpreted with caution.

    January 12, 2023: Due to data processing delays, Mississippi’s aggregate case data will be reported as 0. As a result, case metrics will appear lower than expected in the January 12, 2023, weekly release. COVID-19 Community Transmission metrics may be underestimated and should be interpreted with caution. 

    January 13, 2023: Aggregate case data released for Los Angeles County, California for the week of December 22nd, 2022, and December 29th, 2022, have been corrected for a data processing error.

    January 19, 2023: Due to a reporting cadence issue, Mississippi’s aggregate case data will be calculated based on 14 days’ worth of data instead of the customary 7 days in the January 19, 2023, weekly release. Therefore, COVID-19 Community Transmission metrics may be overestimated and should be interpreted with caution.

    January 26, 2023: Due to a reporting backlog of historic COVID-19 cases, case rates for two Michigan counties

  4. a

    covid cases by zip

    • data-phl.opendata.arcgis.com
    Updated May 21, 2025
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    City of Philadelphia (2025). covid cases by zip [Dataset]. https://data-phl.opendata.arcgis.com/datasets/covid-cases-by-zip
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    City of Philadelphia
    Description

    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 SexFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

  5. d

    COVID Tests and Cases

    • catalog.data.gov
    Updated May 26, 2025
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    City of Philadelphia (2025). COVID Tests and Cases [Dataset]. https://catalog.data.gov/dataset/covid-tests-and-cases
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    Dataset updated
    May 26, 2025
    Dataset provided by
    City of Philadelphia
    Description

    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).

  6. d

    COVID Deaths

    • catalog.data.gov
    Updated May 26, 2025
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    City of Philadelphia (2025). COVID Deaths [Dataset]. https://catalog.data.gov/dataset/covid-deaths
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    Dataset updated
    May 26, 2025
    Dataset provided by
    City of Philadelphia
    Description

    ***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).

  7. a

    COVID CASES BY DATE

    • hub.arcgis.com
    • data-phl.opendata.arcgis.com
    Updated Oct 7, 2020
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    City of Philadelphia (2020). COVID CASES BY DATE [Dataset]. https://hub.arcgis.com/datasets/phl::covid-cases-by-date/about
    Explore at:
    Dataset updated
    Oct 7, 2020
    Dataset authored and provided by
    City of Philadelphia
    Description

    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. 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.See also the following related datasets:COVID Cases by AgeCOVID 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.

  8. United States COVID-19 Community Levels by County

    • data.cdc.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Mar 3, 2022
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    CDC COVID-19 Response (2022). United States COVID-19 Community Levels by County [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/United-States-COVID-19-Community-Levels-by-County/3nnm-4jni
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    application/rdfxml, application/rssxml, csv, tsv, xml, jsonAvailable download formats
    Dataset updated
    Mar 3, 2022
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    United States
    Description

    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.

    This archived public use dataset has 11 data elements reflecting United States COVID-19 community levels for all available counties.

    The COVID-19 community levels were developed using a combination of three metrics — new COVID-19 admissions per 100,000 population in the past 7 days, the percent of staffed inpatient beds occupied by COVID-19 patients, and total new COVID-19 cases per 100,000 population in the past 7 days. The COVID-19 community level was determined by the higher of the new admissions and inpatient beds metrics, based on the current level of new cases per 100,000 population in the past 7 days. New COVID-19 admissions and the percent of staffed inpatient beds occupied represent the current potential for strain on the health system. Data on new cases acts as an early warning indicator of potential increases in health system strain in the event of a COVID-19 surge.

    Using these data, the COVID-19 community level was classified as low, medium, or high.

    COVID-19 Community Levels were used to help communities and individuals make decisions based on their local context and their unique needs. Community vaccination coverage and other local information, like early alerts from surveillance, such as through wastewater or the number of emergency department visits for COVID-19, when available, can also inform decision making for health officials and individuals.

    For the most accurate and up-to-date data for any county or state, visit the relevant health department website. COVID Data Tracker may display data that differ from state and local websites. This can be due to differences in how data were collected, how metrics were calculated, or the timing of web updates.

    Archived Data Notes:

    This dataset was renamed from "United States COVID-19 Community Levels by County as Originally Posted" to "United States COVID-19 Community Levels by County" on March 31, 2022.

    March 31, 2022: Column name for county population was changed to “county_population”. No change was made to the data points previous released.

    March 31, 2022: New column, “health_service_area_population”, was added to the dataset to denote the total population in the designated Health Service Area based on 2019 Census estimate.

    March 31, 2022: FIPS codes for territories American Samoa, Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands were re-formatted to 5-digit numeric for records released on 3/3/2022 to be consistent with other records in the dataset.

    March 31, 2022: Changes were made to the text fields in variables “county”, “state”, and “health_service_area” so the formats are consistent across releases.

    March 31, 2022: The “%” sign was removed from the text field in column “covid_inpatient_bed_utilization”. No change was made to the data. As indicated in the column description, values in this column represent the percentage of staffed inpatient beds occupied by COVID-19 patients (7-day average).

    March 31, 2022: Data values for columns, “county_population”, “health_service_area_number”, and “health_service_area” were backfilled for records released on 2/24/2022. These columns were added since the week of 3/3/2022, thus the values were previously missing for records released the week prior.

    April 7, 2022: Updates made to data released on 3/24/2022 for Guam, Commonwealth of the Northern Mariana Islands, and United States Virgin Islands to correct a data mapping error.

    April 21, 2022: COVID-19 Community Level (CCL) data released for counties in Nebraska for the week of April 21, 2022 have 3 counties identified in the high category and 37 in the medium category. CDC has been working with state officials to verify the data submitted, as other data systems are not providing alerts for substantial increases in disease transmission or severity in the state.

    May 26, 2022: COVID-19 Community Level (CCL) data released for McCracken County, KY for the week of May 5, 2022 have been updated to correct a data processing error. McCracken County, KY should have appeared in the low community level category during the week of May 5, 2022. This correction is reflected in this update.

    May 26, 2022: COVID-19 Community Level (CCL) data released for several Florida counties for the week of May 19th, 2022, have been corrected for a data processing error. Of note, Broward, Miami-Dade, Palm Beach Counties should have appeared in the high CCL category, and Osceola County should have appeared in the medium CCL category. These corrections are reflected in this update.

    May 26, 2022: COVID-19 Community Level (CCL) data released for Orange County, New York for the week of May 26, 2022 displayed an erroneous case rate of zero and a CCL category of low due to a data source error. This county should have appeared in the medium CCL category.

    June 2, 2022: COVID-19 Community Level (CCL) data released for Tolland County, CT for the week of May 26, 2022 have been updated to correct a data processing error. Tolland County, CT should have appeared in the medium community level category during the week of May 26, 2022. This correction is reflected in this update.

    June 9, 2022: COVID-19 Community Level (CCL) data released for Tolland County, CT for the week of May 26, 2022 have been updated to correct a misspelling. The medium community level category for Tolland County, CT on the week of May 26, 2022 was misspelled as “meduim” in the data set. This correction is reflected in this update.

    June 9, 2022: COVID-19 Community Level (CCL) data released for Mississippi counties for the week of June 9, 2022 should be interpreted with caution due to a reporting cadence change over the Memorial Day holiday that resulted in artificially inflated case rates in the state.

    July 7, 2022: COVID-19 Community Level (CCL) data released for Rock County, Minnesota for the week of July 7, 2022 displayed an artificially low case rate and CCL category due to a data source error. This county should have appeared in the high CCL category.

    July 14, 2022: COVID-19 Community Level (CCL) data released for Massachusetts counties for the week of July 14, 2022 should be interpreted with caution due to a reporting cadence change that resulted in lower than expected case rates and CCL categories in the state.

    July 28, 2022: COVID-19 Community Level (CCL) data released for all Montana counties for the week of July 21, 2022 had case rates of 0 due to a reporting issue. The case rates have been corrected in this update.

    July 28, 2022: COVID-19 Community Level (CCL) data released for Alaska for all weeks prior to July 21, 2022 included non-resident cases. The case rates for the time series have been corrected in this update.

    July 28, 2022: A laboratory in Nevada reported a backlog of historic COVID-19 cases. As a result, the 7-day case count and rate will be inflated in Clark County, NV for the week of July 28, 2022.

    August 4, 2022: COVID-19 Community Level (CCL) data was updated on August 2, 2022 in error during performance testing. Data for the week of July 28, 2022 was changed during this update due to additional case and hospital data as a result of late reporting between July 28, 2022 and August 2, 2022. Since the purpose of this data set is to provide point-in-time views of COVID-19 Community Levels on Thursdays, any changes made to the data set during the August 2, 2022 update have been reverted in this update.

    August 4, 2022: COVID-19 Community Level (CCL) data for the week of July 28, 2022 for 8 counties in Utah (Beaver County, Daggett County, Duchesne County, Garfield County, Iron County, Kane County, Uintah County, and Washington County) case data was missing due to data collection issues. CDC and its partners have resolved the issue and the correction is reflected in this update.

    August 4, 2022: Due to a reporting cadence change, case rates for all Alabama counties will be lower than expected. As a result, the CCL levels published on August 4, 2022 should be interpreted with caution.

    August 11, 2022: COVID-19 Community Level (CCL) data for the week of August 4, 2022 for South Carolina have been updated to correct a data collection error that resulted in incorrect case data. CDC and its partners have resolved the issue and the correction is reflected in this update.

    August 18, 2022: COVID-19 Community Level (CCL) data for the week of August 11, 2022 for Connecticut have been updated to correct a data ingestion error that inflated the CT case rates. CDC, in collaboration with CT, has resolved the issue and the correction is reflected in this update.

    August 25, 2022: A laboratory in Tennessee reported a backlog of historic COVID-19 cases. As a result, the 7-day case count and rate may be inflated in many counties and the CCLs published on August 25, 2022 should be interpreted with caution.

    August 25, 2022: Due to a data source error, the 7-day case rate for St. Louis County, Missouri, is reported as zero in the COVID-19 Community Level data released on August 25, 2022. Therefore, the COVID-19 Community Level for this county should be interpreted with caution.

    September 1, 2022: Due to a reporting issue, case rates for all Nebraska counties will include 6 days of data instead of 7 days in the COVID-19 Community Level (CCL) data released on September 1, 2022. Therefore, the CCLs for all Nebraska counties should be interpreted with caution.

    September 8, 2022: Due to a data processing error, the case rate for Philadelphia County, Pennsylvania,

  9. d

    COVID Cumulative Historical Snapshots

    • catalog.data.gov
    • gimi9.com
    Updated Mar 31, 2025
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    Ambient Point (2025). COVID Cumulative Historical Snapshots [Dataset]. https://catalog.data.gov/dataset/covid-cumulative-historical-snapshots
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Ambient Point
    Description

    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.

  10. a

    COVID DEATHS BY AGE

    • data-phl.opendata.arcgis.com
    • hub.arcgis.com
    Updated Sep 23, 2021
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    City of Philadelphia (2021). COVID DEATHS BY AGE [Dataset]. https://data-phl.opendata.arcgis.com/datasets/phl::covid-deaths-by-age
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    Dataset updated
    Sep 23, 2021
    Dataset authored and provided by
    City of Philadelphia
    Description

    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 DateCOVID 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.

  11. a

    COVID CASES BY RACE

    • data-phl.opendata.arcgis.com
    Updated Sep 23, 2021
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    City of Philadelphia (2021). COVID CASES BY RACE [Dataset]. https://data-phl.opendata.arcgis.com/items/58174591a921481aa7263f60f3c9d9e4
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    Dataset updated
    Sep 23, 2021
    Dataset authored and provided by
    City of Philadelphia
    Description

    CLICK HERE to view metadata. For questions or technical assistance please email maps@phila.gov.

  12. m

    MDCOVID19 TotalCasesStatewide

    • coronavirus.maryland.gov
    • data.imap.maryland.gov
    • +4more
    Updated May 22, 2020
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    ArcGIS Online for Maryland (2020). MDCOVID19 TotalCasesStatewide [Dataset]. https://coronavirus.maryland.gov/datasets/mdcovid19-totalcasesstatewide/api
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    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    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.

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    MDCOVID19 TotalHospitalizations

    • esri-philadelphia-office.hub.arcgis.com
    • data.imap.maryland.gov
    • +4more
    Updated May 22, 2020
    + more versions
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    ArcGIS Online for Maryland (2020). MDCOVID19 TotalHospitalizations [Dataset]. https://esri-philadelphia-office.hub.arcgis.com/datasets/9a33ce5efe0e458db636f215433765bd_0
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    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    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.

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    MDCOVID19 ProbableDeathsByAgeDistribution

    • data.imap.maryland.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated May 22, 2020
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    ArcGIS Online for Maryland (2020). MDCOVID19 ProbableDeathsByAgeDistribution [Dataset]. https://data.imap.maryland.gov/datasets/65469571a26b4177a554e06d6fd601ad
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    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of probable COVID-19 deaths among Maryland residents by age: 0-9; 10-19; 20-29; 30-39; 40-49; 50-59; 60-69; 70-79; 80+; Unknown.DescriptionThe MD COVID-19 - Probable Deaths by Age 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 designated age ranges. 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 Age 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.

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    COVID HOSPITALIZATIONS BY SEX

    • data-phl.opendata.arcgis.com
    Updated Sep 23, 2021
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    City of Philadelphia (2021). COVID HOSPITALIZATIONS BY SEX [Dataset]. https://data-phl.opendata.arcgis.com/datasets/phl::covid-hospitalizations-by-sex
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    Dataset updated
    Sep 23, 2021
    Dataset authored and provided by
    City of Philadelphia
    Description

    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.

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    COVID CASES BY SEX

    • hub.arcgis.com
    • data-phl.opendata.arcgis.com
    Updated Oct 7, 2020
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    City of Philadelphia (2020). COVID CASES BY SEX [Dataset]. https://hub.arcgis.com/maps/phl::covid-cases-by-sex
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    Dataset updated
    Oct 7, 2020
    Dataset authored and provided by
    City of Philadelphia
    Description

    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.

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    MDCOVID19 ConfirmedDeathsByGenderDistribution

    • data.imap.maryland.gov
    • esri-philadelphia-office.hub.arcgis.com
    • +2more
    Updated May 22, 2020
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    ArcGIS Online for Maryland (2020). MDCOVID19 ConfirmedDeathsByGenderDistribution [Dataset]. https://data.imap.maryland.gov/datasets/maryland::mdcovid19-confirmeddeathsbygenderdistribution/about
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    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of confirmed COVID-19 deaths among Maryland residents by gender: Female; Male; Unknown.DescriptionThe MD COVID-19 - Confirmed 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 confirmed if the person had a laboratory-confirmed positive COVID-19 test result. 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. Probable deaths are available from the MD COVID-19 - Probable 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.

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    covid deaths by week

    • data-phl.opendata.arcgis.com
    Updated Aug 8, 2023
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    City of Philadelphia (2023). covid deaths by week [Dataset]. https://data-phl.opendata.arcgis.com/datasets/phl::covid-deaths-by-week
    Explore at:
    Dataset updated
    Aug 8, 2023
    Dataset authored and provided by
    City of Philadelphia
    Description

    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 ZIP CodeFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

  19. a

    covid hospitalizations by week

    • hub.arcgis.com
    Updated Aug 8, 2023
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    City of Philadelphia (2023). covid hospitalizations by week [Dataset]. https://hub.arcgis.com/maps/phl::covid-hospitalizations-by-week
    Explore at:
    Dataset updated
    Aug 8, 2023
    Dataset authored and provided by
    City of Philadelphia
    Description

    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.

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    COVID DEATHS BY RACE

    • data-phl.opendata.arcgis.com
    Updated Sep 23, 2021
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    City of Philadelphia (2021). COVID DEATHS BY RACE [Dataset]. https://data-phl.opendata.arcgis.com/datasets/phl::covid-deaths-by-race
    Explore at:
    Dataset updated
    Sep 23, 2021
    Dataset authored and provided by
    City of Philadelphia
    Description

    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 WeekCOVID Deaths by ZIP CodeFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

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City of Philadelphia (2021). COVID CASES BY RACE [Dataset]. https://data-phl.opendata.arcgis.com/maps/phl::covid-cases-by-race

COVID CASES BY RACE

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 23, 2021
Dataset authored and provided by
City of Philadelphia
Description

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.

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