46 datasets found
  1. DQS Medicaid coverage among persons under age 65, by selected...

    • data.virginia.gov
    • healthdata.gov
    csv, json, rdf, xsl
    Updated Jun 25, 2025
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    Centers for Disease Control and Prevention (2025). DQS Medicaid coverage among persons under age 65, by selected characteristics: United States [Dataset]. https://data.virginia.gov/dataset/dqs-medicaid-coverage-among-persons-under-age-65-by-selected-characteristics-united-states
    Explore at:
    csv, rdf, json, xslAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    Data on Medicaid coverage among people under age 65, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

  2. Total Medicaid enrollment 1966-2023

    • statista.com
    Updated Jul 3, 2025
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    Statista (2025). Total Medicaid enrollment 1966-2023 [Dataset]. https://www.statista.com/statistics/245347/total-medicaid-enrollment-since-1966/
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    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Over ** million Americans were estimated to be enrolled in the Medicaid program as of 2023. That is a significant increase from around ** million ten years earlier. Medicaid is basically a joint federal and state health program that provides medical coverage to low-income individuals and families. Currently, Medicaid is responsible for ** percent of the nation’s health care bill, making it the third-largest payer behind private insurances and Medicare. From the beginning to ObamacareMedicaid was implemented in 1965 and since then has become the largest source of medical services for Americans with low income and limited resources. The program has become particularly prominent since the introduction of President Obama’s health reform – the Patient Protection and Affordable Care Act - in 2010. Medicaid was largely impacted by this reform, for states now had the opportunity to expand Medicaid eligibility to larger parts of the uninsured population. Thus, the percentage of uninsured in the United States decreased from over ** percent in 2010 to *** percent in 2022. Who is enrolled in Medicaid?Medicaid enrollment is divided mainly into four groups of beneficiaries: children, adults under 65 years of age, seniors aged 65 years or older, and disabled people. Children are the largest group, with a share of approximately ** percent of enrollees. However, their share of Medicaid expenditures is relatively small, with around ** percent. Compared to that, disabled people, accounting for **** percent of total enrollment, were responsible for **** percent of total expenditures. Around half of total Medicaid spending goes to managed care and health plans.

  3. Medicaid Enrollment - New Adult Group

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Feb 3, 2025
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    Centers for Medicare & Medicaid Services (2025). Medicaid Enrollment - New Adult Group [Dataset]. https://catalog.data.gov/dataset/medicaid-enrollment-new-adult-group-cb7e1
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    Total Medicaid Enrollees - VIII Group Break Out Report Reported on the CMS-64 The enrollment information is a state-reported count of unduplicated individuals enrolled in the state’s Medicaid program at any time during each month in the quarterly reporting period. The enrollment data identifies the total number of Medicaid enrollees and, for states that have expanded Medicaid, provides specific counts for the number of individuals enrolled in the new adult eligibility group, also referred to as the “VIII Group”. The VIII Group is only applicable for states that have expanded their Medicaid programs by adopting the VIII Group. This data includes state-by-state data for this population as well as a count of individuals whom the state has determined are newly eligible for Medicaid. All 50 states, the District of Columbia and the US territories are represented in these data. Notes: 1. “VIII GROUP” is also known as the “New Adult Group.” 2. The VIII Group is only applicable for states that have expanded their Medicaid programs by adopting the VIII Group. VIII Group enrollment information for the states that have not expanded their Medicaid program is noted as “N/A.”

  4. Share of Medicaid Enrollees in Managed Care

    • catalog.data.gov
    Updated Feb 3, 2025
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    Centers for Medicare & Medicaid Services (2025). Share of Medicaid Enrollees in Managed Care [Dataset]. https://catalog.data.gov/dataset/share-of-medicaid-enrollees-in-managed-care-712a3
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Share of Medicaid Enrollees in any Managed Care and in Comprehensive Managed CaAre profiles state-level enrollment statistics (numbers and percentages) of total Medicaid enrollees in any type of managed care as well as those enrolled specifically in comprehensive managed care programs. The report provides managed care enrollment by state with all 50 states, the District of Columbia and the US territories are represented in these data. Note: "n/a" indicates that a state or territory was not able to report data or does not have a managed care program. The “Total Medicaid Enrollees” column represents an unduplicated count of all beneficiaries in FFS and any type of managed care, including Medicaid-only and dually eligible individuals receiving full Medicaid benefits or Medicaid cost sharing. The “Total Medicaid Enrollment in Any Type of Managed Care” column represents an unduplicated count of beneficiaries enrolled in any Medicaid managed care program, including comprehensive MCOs, limited benefit MCOs, PCCMs, and PCCM entities. The “Medicaid Enrollment in Comprehensive Managed Care” column represents an unduplicated count of Medicaid beneficiaries enrolled in a managed care plan that provides comprehensive benefits (acute, primary care, specialty, and any other), as well as PACE programs. It excludes beneficiaries who are enrolled in a Financial Alignment Initiative Medicare-Medicaid Plan as their only form of managed care.

  5. d

    Geocoded Medicaid office locations in the United States

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Mar 6, 2024
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    Shafer, Paul; Palmer, Maxwell; Cho, Ahyoung; Lynch, Mara; Louis, Pierce; Skinner, Alexandra (2024). Geocoded Medicaid office locations in the United States [Dataset]. http://doi.org/10.7910/DVN/AVRHMI
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    Dataset updated
    Mar 6, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Shafer, Paul; Palmer, Maxwell; Cho, Ahyoung; Lynch, Mara; Louis, Pierce; Skinner, Alexandra
    Time period covered
    Aug 1, 2023 - Dec 19, 2023
    Area covered
    United States
    Description

    Big “p” policy changes at the state and federal level are certainly important to health equity, such as eligibility for and generosity of Medicaid benefits. Medicaid expansion has significantly expanded the number of people who are eligible for Medicaid and the creation of the health insurance exchanges (Marketplace) under the Affordable Care Act created a very visible avenue through which people can learn that they are eligible. Although many applications are now submitted online, physical access to state, county, and tribal government Medicaid offices still plays a critical role in understanding eligibility, getting help in applying, and navigating required documentation for both initial enrollment and redetermination of eligibility. However, as more government functions have moved online, in-person office locations and/or staff may have been cut to reduce costs, and gentrification has shifted where minoritized, marginalized, and/or low-income populations live, it is unclear if this key local connection point between residents and Medicaid has been maintained. Our objective was to identify and geocode all Medicaid offices in the United States for pairing with other spatial data (e.g., demographics, Medicaid participation, health care use, health outcomes) to investigate policy-relevant research questions. Three coders identified Medicaid office addresses in all 50 states and the District of Columbia by searching state government websites (e.g., Department of Health and Human Services or analogous state agency) during late 2021 and early 2022 for the appropriate Medicaid agency and its office locations, which were then reviewed for accuracy by a fourth coder. Our corpus of Medicaid office addresses was then geocoded using the Census Geocoder from the US Census Bureau (https://geocoding.geo.census.gov/geocoder/) with unresolved addresses investigated and/or manually geocoded using Google Maps. The corpus was updated in August through December 2023 following the end of the COVID-19 public health emergency by a fifth coder as several states closed and/or combined offices during the pandemic. After deduplication (e.g., where multiple counties share a single office) and removal of mailing addresses (e.g., PO Boxes), our dataset includes 3,027 Medicaid office locations. 1 (December 19, 2023) – original version 2 (January 25, 2024) – added related publication (Data in Brief), corrected two records that were missing negative signs in longitude 3 (February 6, 2024) – corrected latitude and longitude for one office (1340 State Route 9, Lake George, NY 12845) 4 (March 4, 2024) – added one office for Vermont after contacting relevant state agency (280 State Road, Waterbury, VT 05671)

  6. Where do People Have Medicaid/Means-Tested Healthcare?

    • data.amerigeoss.org
    esri rest, html
    Updated Apr 11, 2019
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    ESRI (2019). Where do People Have Medicaid/Means-Tested Healthcare? [Dataset]. https://data.amerigeoss.org/nl/dataset/where-do-people-have-medicaid-means-tested-healthcare
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    esri rest, htmlAvailable download formats
    Dataset updated
    Apr 11, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Description

    This map shows where people have Medicaid or means-tested healthcare coverage in the US (ages under 65). This is shown by State, County, and Census Tract, and uses the most current ACS 5-year estimates.


    The map shows the percentage of the population with Medicaid or means-tested coverage, and also shows the total count of population with Medicaid or means-tested coverage. Because of medicare starting at age 65, this map represents the population under 65.

    This map shows a pattern using both centroids and boundaries. This helps clarify where specific areas reach.

    The data shown is current-year American Community Survey (ACS) data from the US Census. The data is updated each year when the ACS releases its new 5-year estimates. To see the original layers used in this map, visit this group.

    To learn more about when the ACS releases data updates, click here.

  7. N

    Medicaid Offices

    • data.cityofnewyork.us
    • s.cnmilf.com
    • +1more
    application/rdfxml +5
    Updated Apr 23, 2025
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    Human Resources Administration (HRA) (2025). Medicaid Offices [Dataset]. https://data.cityofnewyork.us/City-Government/Medicaid-Offices/ibs4-k445
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    json, csv, tsv, xml, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Human Resources Administration (HRA)
    Description

    This dataset provides the name and location of a Medicaid center, where individuals can apply for, recertify, or inquire about Medicaid benefits.

  8. a

    Centers for Medicare & Medicaid Services - Nursing Homes

    • hub.arcgis.com
    • explore-vcbb.hub.arcgis.com
    Updated Mar 18, 2021
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    Esri U.S. Federal Datasets (2021). Centers for Medicare & Medicaid Services - Nursing Homes [Dataset]. https://hub.arcgis.com/maps/fedmaps::centers-for-medicare-medicaid-services-nursing-homes
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    Dataset updated
    Mar 18, 2021
    Dataset authored and provided by
    Esri U.S. Federal Datasets
    Area covered
    Description

    Centers for Medicare & Medicaid Services - Nursing HomesThis feature layer, utilizing data from the Centers for Medicare & Medicaid Services (CMS), displays the locations of nursing homes in the U.S. Nursing homes provide a type of residential care. They are a place of residence for people who require constant nursing care and have significant deficiencies with activities of daily living. Per CMS, "Nursing homes, which include Skilled Nursing Facilities (SNFs) and Nursing Facilities (NFs), are required to be in compliance with Federal requirements to receive payment under the Medicare or Medicaid programs. The Secretary of the United States Department of Health & Human Services has delegated to the CMS and the State Medicaid Agency the authority to impose enforcement remedies against a nursing home that does not meet Federal requirements." This layer includes currently active nursing homes, including number of certified beds, address, and other information.Bridgepoint Sub-Acute and Rehab Capitol HillData downloaded: August 1, 2024Data source: Provider InformationData modification: This dataset includes only those facilities with addresses that were appropriately geocoded.For more information: Nursing homes including rehab servicesFor feedback, please contact: ArcGIScomNationalMaps@esri.comCenters for Medicare & Medicaid ServicesPer USA.gov, "The Centers for Medicare and Medicaid Services (CMS) provides health coverage to more than 100 million people through Medicare, Medicaid, the Children’s Health Insurance Program, and the Health Insurance Marketplace. The CMS seeks to strengthen and modernize the Nation’s health care system, to provide access to high quality care and improved health at lower costs."

  9. Health Insurance Marketplace

    • kaggle.com
    zip
    Updated May 1, 2017
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    US Department of Health and Human Services (2017). Health Insurance Marketplace [Dataset]. https://www.kaggle.com/hhs/health-insurance-marketplace
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    zip(868821924 bytes)Available download formats
    Dataset updated
    May 1, 2017
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    US Department of Health and Human Services
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The Health Insurance Marketplace Public Use Files contain data on health and dental plans offered to individuals and small businesses through the US Health Insurance Marketplace.

    median plan premiums

    Exploration Ideas

    To help get you started, here are some data exploration ideas:

    • How do plan rates and benefits vary across states?
    • How do plan benefits relate to plan rates?
    • How do plan rates vary by age?
    • How do plans vary across insurance network providers?

    See this forum thread for more ideas, and post there if you want to add your own ideas or answer some of the open questions!

    Data Description

    This data was originally prepared and released by the Centers for Medicare & Medicaid Services (CMS). Please read the CMS Disclaimer-User Agreement before using this data.

    Here, we've processed the data to facilitate analytics. This processed version has three components:

    1. Original versions of the data

    The original versions of the 2014, 2015, 2016 data are available in the "raw" directory of the download and "../input/raw" on Kaggle Scripts. Search for "dictionaries" on this page to find the data dictionaries describing the individual raw files.

    2. Combined CSV files that contain

    In the top level directory of the download ("../input" on Kaggle Scripts), there are six CSV files that contain the combined at across all years:

    • BenefitsCostSharing.csv
    • BusinessRules.csv
    • Network.csv
    • PlanAttributes.csv
    • Rate.csv
    • ServiceArea.csv

    Additionally, there are two CSV files that facilitate joining data across years:

    • Crosswalk2015.csv - joining 2014 and 2015 data
    • Crosswalk2016.csv - joining 2015 and 2016 data

    3. SQLite database

    The "database.sqlite" file contains tables corresponding to each of the processed CSV files.

    The code to create the processed version of this data is available on GitHub.

  10. d

    Medicaid CY2017 byTract 20181106

    • catalog.data.gov
    • detroitdata.org
    • +6more
    Updated Sep 21, 2024
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    Data Driven Detroit (2024). Medicaid CY2017 byTract 20181106 [Dataset]. https://catalog.data.gov/dataset/medicaid-cy2017-bytract-20181106-cbca6
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    Dataset updated
    Sep 21, 2024
    Dataset provided by
    Data Driven Detroit
    Description

    This dataset contains Medicaid data from patients under 18 years of age, by U.S. Census Tract, in Michigan in 2017. This dataset contains percentage of visits to the Emergency Room, Hospital, and Urgent Care, noting Asthma and Diabetes patients. Medicaid data was provided by the Michigan Department of Health and Human Services (MDHHS) to Data Driven Detroit in 2018. Data Driven Detroit aggregated the dataset for a statewide analysis. Null values represent no Medicaid data or suppressed numbers (smaller than 6) to protect the information of individuals.Click here for metadata (descriptions of the fields).

  11. Share of Medicaid Enrollees in Managed Care

    • data.virginia.gov
    • healthdata.gov
    csv
    Updated Oct 16, 2024
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    Centers for Medicare & Medicaid Services (2024). Share of Medicaid Enrollees in Managed Care [Dataset]. https://data.virginia.gov/dataset/share-of-medicaid-enrollees-in-managed-care
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Share of Medicaid Enrollees in any Managed Care and in Comprehensive Managed CaAre profiles state-level enrollment statistics (numbers and percentages) of total Medicaid enrollees in any type of managed care as well as those enrolled specifically in comprehensive managed care programs. The report provides managed care enrollment by state with all 50 states, the District of Columbia and the US territories are represented in these data.

    1. Note: "n/a" indicates that a state or territory was not able to report data or does not have a managed care program.

    2. The “Total Medicaid Enrollees” column represents an unduplicated count of all beneficiaries in FFS and any type of managed care, including Medicaid-only and dually eligible individuals receiving full Medicaid benefits or Medicaid cost sharing.

    3. The “Total Medicaid Enrollment in Any Type of Managed Care” column represents an unduplicated count of beneficiaries enrolled in any Medicaid managed care program, including comprehensive MCOs, limited benefit MCOs, PCCMs, and PCCM entities.

    4. The “Medicaid Enrollment in Comprehensive Managed Care” column represents an unduplicated count of Medicaid beneficiaries enrolled in a managed care plan that provides comprehensive benefits (acute, primary care, specialty, and any other), as well as PACE programs. It excludes beneficiaries who are enrolled in a Financial Alignment Initiative Medicare-Medicaid Plan as their only form of managed care.

  12. DQS Medicaid coverage among persons under age 65, by selected...

    • healthdata.gov
    application/rdfxml +5
    Updated May 3, 2024
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    The citation is currently not available for this dataset.
    Explore at:
    json, tsv, application/rdfxml, csv, application/rssxml, xmlAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    data.cdc.gov
    Area covered
    United States
    Description

    Data on Medicaid coverage among people under age 65, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

  13. a

    Where do People Have Medicaid/Means-Tested Healthcare?

    • hub.arcgis.com
    • coronavirus-resources.esri.com
    • +1more
    Updated Dec 14, 2018
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    ArcGIS Living Atlas Team (2018). Where do People Have Medicaid/Means-Tested Healthcare? [Dataset]. https://hub.arcgis.com/maps/85755e5c77764b83bb0a6bd63241fbbb
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    Dataset updated
    Dec 14, 2018
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows where people have Medicaid or means-tested healthcare coverage in the US (ages under 65). This is shown by State, County, and Census Tract, and uses the most current ACS 5-year estimates.The map shows the percentage of the population with Medicaid or means-tested coverage, and also shows the total count of population with Medicaid or means-tested coverage. Because of Medicare starting at age 65, this map represents the population under 65. This map shows a pattern using both centroids and boundaries. This helps clarify where specific areas reach. The data shown is current-year American Community Survey (ACS) data from the US Census. The data is updated each year when the ACS releases its new 5-year estimates. To see the original layers used in this map, visit this group. To learn more about the vintage and data source, click here to visit the Living Atlas layer used in the map.To learn more about when the ACS releases data updates, click here.

  14. f

    Medicaid CY2017 byBlockGroup 20181106

    • data.ferndalemi.gov
    Updated Nov 6, 2018
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    Data Driven Detroit (2018). Medicaid CY2017 byBlockGroup 20181106 [Dataset]. https://data.ferndalemi.gov/datasets/e5b2ac1c87d8493bbd430bb9e7a53973
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    Dataset updated
    Nov 6, 2018
    Dataset authored and provided by
    Data Driven Detroit
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    This dataset contains Medicaid data from patients under 18 years of age, by U.S. Census Block Group, in Michigan in 2017. This dataset contains percentage of visits to the Emergency Room, Hospital, and Urgent Care, noting Asthma and Diabetes patients. Medicaid data was provided by the Michigan Department of Health and Human Services (MDHHS) to Data Driven Detroit in 2018. Data Driven Detroit aggregated the dataset for a statewide analysis. Null values represent no Medicaid data or suppressed numbers (smaller than 6) to protect the information of individuals.Click here for metadata (descriptions of the fields).

  15. A

    ‘Medicaid CY2017 byBlockGroup 20181106’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Nov 6, 2018
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘Medicaid CY2017 byBlockGroup 20181106’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-medicaid-cy2017-byblockgroup-20181106-26fe/30a68c66/?iid=002-378&v=presentation
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    Dataset updated
    Nov 6, 2018
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Medicaid CY2017 byBlockGroup 20181106’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/669fcae8-dfd5-454d-9596-03ba0821feba on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset contains Medicaid data from patients under 18 years of age, by U.S. Census Block Group, in Michigan in 2017. This dataset contains percentage of visits to the Emergency Room, Hospital, and Urgent Care, noting Asthma and Diabetes patients. Medicaid data was provided by the Michigan Department of Health and Human Services (MDHHS) to Data Driven Detroit in 2018. Data Driven Detroit aggregated the dataset for a statewide analysis. Null values represent no Medicaid data or suppressed numbers (smaller than 6) to protect the information of individuals.


    Click here for metadata (descriptions of the fields).

    --- Original source retains full ownership of the source dataset ---

  16. COVID-19 Reported Patient Impact and Hospital Capacity by Facility

    • healthdata.gov
    • data.ct.gov
    • +5more
    Updated May 3, 2024
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    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by Facility [Dataset]. https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/anag-cw7u
    Explore at:
    tsv, application/rssxml, csv, xml, application/rdfxml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    License

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

    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Sunday to Saturday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.

    The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities.

    For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-15 means the average/sum/coverage of the elements captured from that given facility starting and including Sunday, November 15, 2020, and ending and including reports for Saturday, November 21, 2020.

    Reported elements include an append of either “_coverage”, “_sum”, or “_avg”.

    • A “_coverage” append denotes how many times the facility reported that element during that collection week.
    • A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week.
    • A “_avg” append is the average of the reports provided for that facility for that element during that collection week.

    The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.

    A story page was created to display both corrected and raw datasets and can be accessed at this link: https://healthdata.gov/stories/s/nhgk-5gpv

    This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020.

    Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect.

    For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied.

    For recent updates to the dataset, scroll to the bottom of the dataset description.

    On May 3, 2021, the following fields have been added to this data set.

    • hhs_ids
    • previous_day_admission_adult_covid_confirmed_7_day_coverage
    • previous_day_admission_pediatric_covid_confirmed_7_day_coverage
    • previous_day_admission_adult_covid_suspected_7_day_coverage
    • previous_day_admission_pediatric_covid_suspected_7_day_coverage
    • previous_week_personnel_covid_vaccinated_doses_administered_7_day_sum
    • total_personnel_covid_vaccinated_doses_none_7_day_sum
    • total_personnel_covid_vaccinated_doses_one_7_day_sum
    • total_personnel_covid_vaccinated_doses_all_7_day_sum
    • previous_week_patients_covid_vaccinated_doses_one_7_day_sum
    • previous_week_patients_covid_vaccinated_doses_all_7_day_sum

    On May 8, 2021, this data set has been converted to a corrected data set. The corrections applied to this data set are to smooth out data anomalies caused by keyed in data errors. To help determine which records have had corrections made to it. An additional Boolean field called is_corrected has been added.

    On May 13, 2021 Changed vaccination fields from sum to max or min fields. This reflects the maximum or minimum number reported for that metric in a given week.

    On June 7, 2021 Changed vaccination fields from max or min fields to Wednesday reported only. This reflects that the number reported for that metric is only reported on Wednesdays in a given week.

    On September 20, 2021, the following has been updated: The use of analytic dataset as a source.

    On January 19, 2022, the following fields have been added to this dataset:

    • inpatient_beds_used_covid_7_day_avg
    • inpatient_beds_used_covid_7_day_sum
    • inpatient_beds_used_covid_7_day_coverage

    On April 28, 2022, the following pediatric fields have been added to this dataset:

    • all_pediatric_inpatient_bed_occupied_7_day_avg
    • all_pediatric_inpatient_bed_occupied_7_day_coverage
    • all_pediatric_inpatient_bed_occupied_7_day_sum
    • all_pediatric_inpatient_beds_7_day_avg
    • all_pediatric_inpatient_beds_7_day_coverage
    • all_pediatric_inpatient_beds_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_0_4_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_12_17_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_5_11_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_unknown_7_day_sum
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_avg
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_coverage
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_sum
    • staffed_pediatric_icu_bed_occupancy_7_day_avg
    • staffed_pediatric_icu_bed_occupancy_7_day_coverage
    • staffed_pediatric_icu_bed_occupancy_7_day_sum
    • total_staffed_pediatric_icu_beds_7_day_avg
    • total_staffed_pediatric_icu_beds_7_day_coverage
    • total_staffed_pediatric_icu_beds_7_day_sum

    On October 24, 2022, the data includes more analytical calculations in efforts to provide a cleaner dataset. For a raw version of this dataset, please follow this link: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/uqq2-txqb

    Due to changes in reporting requirements, after June 19, 2023, a collection week is defined as starting on a Sunday and ending on the next Saturday.

  17. Hospitals Registered with Medicare

    • gis-for-racialequity.hub.arcgis.com
    • explore-vcbb.hub.arcgis.com
    • +1more
    Updated Jun 30, 2020
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    Esri U.S. Federal Datasets (2020). Hospitals Registered with Medicare [Dataset]. https://gis-for-racialequity.hub.arcgis.com/datasets/fedmaps::hospitals-registered-with-medicare
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    Dataset updated
    Jun 30, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Hospitals Registered with MedicareThis feature layer, utilizing data from the Centers of Medicare and Medicaid Services (CMS), depicts all hospitals that are currently registered with Medicare in the U.S. Per NIH, "Since the passage of Medicare legislation in 1965, Section 1861 of the Social Security Act has stated that hospitals participating in Medicare must meet certain requirements specified in the act and that the Secretary of the Department of Health, Education and Welfare (HEW) [now the Department of Health and Human Services (DHHS)] may impose additional requirements found necessary to ensure the health and safety of Medicare beneficiaries receiving services in hospitals. On this basis, the Conditions of Participation, a set of regulations setting minimum health and safety standards for hospitals participating in Medicare, were promulgated in 1966 and substantially revised in 1986."Ascension Columbia St Mary's HospitalData currency: 11/26/2024Data modification: This data was created using the geocoding process on the CSV file.Data downloaded from: Hospital General InformationFor more information: HospitalsSupport documentation: Data dictionaryFor feedback, please contact: ArcGIScomNationalMaps@esri.comCenters of Medicare and Medicaid ServicesPer USA.gov, "The Centers for Medicare and Medicaid Services (CMS) provides health coverage to more than 100 million people through Medicare, Medicaid, the Children’s Health Insurance Program, and the Health Insurance Marketplace. The CMS seeks to strengthen and modernize the Nation’s health care system, to provide access to high quality care and improved health at lower costs."

  18. Managed Long Term Services and Supports (MLTSS) Enrollees

    • datasets.ai
    • healthdata.gov
    • +1more
    8
    Updated Aug 27, 2024
    + more versions
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    U.S. Department of Health & Human Services (2024). Managed Long Term Services and Supports (MLTSS) Enrollees [Dataset]. https://datasets.ai/datasets/managed-long-term-services-and-supports-mltss-enrollees-e031e
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    8Available download formats
    Dataset updated
    Aug 27, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description
    1. Enrollment includes both Medicaid-only and Medicare-Medicaid (“dual”) enrollees. For both types of enrollees, Medicaid covers LTSS. For dual enrollees, Medicaid may also cover Medicare cost-sharing for acute, primary care, and specialty services covered by Medicare, and other non-LTSS services that are not covered by Medicare.
    2. Some comprehensive managed care programs enroll beneficiaries who may be at risk of needing LTSS but do not receive any LTSS. These counts only include individuals that receive LTSS. Moreover, states differ in their ability to report individuals who use MLTSS versus those who are enrolled (and may or may not be using LTSS). This table reports MLTSS users unless otherwise noted.
    3. Comprehensive Managed Care Including LTSS does not include PACE programs.
    4. MLTSS Only programs cover LTSS under capitation; acute, primary, and specialty care services for these enrollees may be covered by another Medicaid MCO, Medicaid FFS, or by Medicare for dual enrollees. These data include states that provide MLTSS plus other benefits in a package that does not include inpatient medical care.
    5. The indicated territory was not able to supply data for this report. The Northern Mariana Islands reported that they have no Medicaid managed care enrollment, but they did not report total Medicaid enrollees.
    6. Enrollment and user counts include both Medicaid-only enrollees and dually eligible individuals. For both types of enrollees, Medicaid covers LTSS. For dually eligible individuals, Medicaid may also cover Medicare cost-sharing for acute, primary care, and specialty services covered by Medicare, and other non-LTSS services that are not covered by Medicare.
  19. Data from: Nursing Home Compare

    • catalog.data.gov
    • data.va.gov
    • +2more
    Updated May 1, 2021
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    Department of Veterans Affairs (2021). Nursing Home Compare [Dataset]. https://catalog.data.gov/dataset/nursing-home-compare-ed7b0
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    Dataset updated
    May 1, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    Nursing Home Compare has detailed information about every Medicare and Medicaid nursing home in the country. A nursing home is a place for people who can’t be cared for at home and need 24-hour nursing care. These are the official datasets used on the Medicare.gov Nursing Home Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.

  20. H

    MBSF mortality denominator

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Sep 4, 2024
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    Michael Bouzinier; Michelle Audirac (2024). MBSF mortality denominator [Dataset]. http://doi.org/10.7910/DVN/Y1WNU7
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 4, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Michael Bouzinier; Michelle Audirac
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 31, 2018
    Area covered
    United States
    Description

    The MBSF mortality denominator can be used to study mortality rates of the elder population in the US. Access to CMS data is restricted. Processed datasets cannot be shared. Contact the authors if you've purchased CMS data through RESDAC and would like to use our data processing pipelines to clean CMS raw data and generate the MBSF mortality denominator. Medicare Overview In the United States, when individuals reach the age of 65, they become eligible for the Medicare federal health insurance program. Medicare also covers individuals under 65 if they have certain disabilities or End-Stage Renal Disease (ESRD) or Amyotrophic Lateral Sclerosis (ALS). About CMS The Center for Medicare & Medicaid Services (CMS) is the federal agency responsible for managing the Medicare and Medicaid data. CMS makes predefined datasets available for purchase to researchers after they enter a Data usage agreement through Research Data Assistance Center (ResDAC). Master Beneficiary Summary File (MBSF) A beneficiary-level data from CMS/ResDAC is known as the Master Beneficiary Summary File (MBSF). The raw MBSF data contains basic demographic information of individuals, an indicator of death, and some details on their medicare enrollment. Mortality Denominator We refer to the mortality denominator as the clean subset of MBSF health data that is representative of the older population. The subset consists of the US elder population; notably, individuals under 64 who qualified because of a disability are excluded.

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Centers for Disease Control and Prevention (2025). DQS Medicaid coverage among persons under age 65, by selected characteristics: United States [Dataset]. https://data.virginia.gov/dataset/dqs-medicaid-coverage-among-persons-under-age-65-by-selected-characteristics-united-states
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DQS Medicaid coverage among persons under age 65, by selected characteristics: United States

Explore at:
csv, rdf, json, xslAvailable download formats
Dataset updated
Jun 25, 2025
Dataset provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Area covered
United States
Description

Data on Medicaid coverage among people under age 65, in the United States, by selected population characteristics. Data from Health, United States. SOURCE: National Center for Health Statistics, National Health Interview Survey. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

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