AndreaBozzo/ceres-open-data-index huggingface dataset:
PLACES and 500 Cities: Data Dictionary

This dataset provides a data dictionary for PLACES and 500 Cities releases.  For each measure, the data dictionary provides the measure ID, measure full and short name, measure category ID and name, year of BRFSS data used to generate the estimate by release year, and frequency BRFSS collects data about the measure.

Tags: 500-cities, places
Organization: U.S. Department of Health & Human Services
National Death Index

<p>The National Death Index (NDI) is a centralized database of death record information on file in state vital statistics offices. Working with these state offices, the National Center for Health Statistics (NCHS) established the NDI as a resource to aid epidemiologists and other health and medical investigators with their mortality ascertainment activities.</p>
<p>Assists investigators in determining whether persons in their studies have died and, if so, provide the names of the states in which those deaths occurred, the dates of death, and the corresponding death certificate numbers. Investigators can then make arrangements with the appropriate state offices to obtain copies of death certificates or specific statistical information such as manner of death or educational level. Cause of death codes may also be obtained using the NDI Plus service.</p>
<p>Records from 1979 through 2011 are currently available and contain a standard set of identifying information on each death. Death records are added to the NDI file annually, approximately 12 months after the end of a particular calendar year. 2012 should be available summer 2014. Early Release Program for 2013 is now available.</p>
<p>The NDI service is available to investigators solely for statistical purposes in medical and health research. The service is not accessible to organizations or the general public for legal, administrative, or genealogy purposes.</p>

Tags: population-statistics, vital-statistics-us-births-and-deaths
Organization: U.S. Department of Health & Human Services
Benefit Package for Medicaid and CHIP Beneficiaries by Year

This data set presents annual enrollment counts of Medicaid and CHIP beneficiaries by benefit package (full-scope, comprehensive, limited, or unknown). There are three metrics presented: (1) the number of beneficiaries ever enrolled with each benefit package over the year (duplicated count); (2) the number of beneficiaries enrolled with each benefit package as of an individual’s last month of enrollment (unduplicated count); and (3) average monthly enrollment with each benefit package. 

These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating these measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable or of high concern based on DQ Atlas thresholds for the topic Restricted Benefits Code. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

Tags: chip, dq-atlas, medicaid, program-enrollment, t-msis-analytic-files
Organization: U.S. Department of Health & Human Services
PLACES: County Data (GIS Friendly Format), 2023 release

This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2021 or 2020 county population estimates, and American Community Survey (ACS) 2017–2021 or 2016–2020 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census 2020 county boundary file in a GIS system to produce maps for 36 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588

Tags: behaviors, county, disability, gis, health, outcomes, places, prevalence, prevention, risk, status
Organization: U.S. Department of Health & Human Services
500 Cities: Census Tract Boundaries

This census tract shapefile for the 500 Cities project was extracted from the Census 2010 Tiger/Line database and modified to remove portions of census tracts that were outside of city boundaries. This shapefile can be joined with 500 Cities census tract-level Data (GIS Friendly Format) in a geographic information system (GIS) to make maps at the census tract level.

Tags: 500-cities, boundaries, census-tract, shapefile
Organization: U.S. Department of Health & Human Services
Contraceptive Care Services Provided to Medicaid and CHIP Beneficiaries ages 15 to 44

This data set includes monthly counts and rates (per 1,000 beneficiaries) of contraceptives, including any contraceptives and long-acting reversible contraceptives, provided to female Medicaid and CHIP beneficiaries ages 15 to 44 (as of the first day of the month), by state. 

These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating contraceptive care services measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. 

Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

Tags: chip, contraceptives, dq-atlas, medicaid
Organization: U.S. Department of Health & Human Services
PLACES: Census Tract Data (GIS Friendly Format), 2023 release

This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. These data can be joined with the census tract 2015 boundary file in a GIS system to produce maps for 36 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=2c3deb0c05a748b391ea8c9cf9903588

Tags: behaviors, census-tract, disability, gis, health, outcomes, places, prevalence, prevention, risk, status
Organization: U.S. Department of Health & Human Services
Number and rate of NAS per 1,000 births in newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2021

This table presents the number of beneficiaries with NAS and the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2021.

These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. 

Data from Maryland, Tennessee, and Utah are omitted due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. 

Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

Tags: chip, medicaid, neonatal-abstinence-syndrome
Organization: U.S. Department of Health & Human Services
Product Data for Newly Reported Drugs in the Medicaid Drug Rebate Program

The Table below, updated weekly, contains newly reported, active covered outpatient drugs which were reported by participating drug manufacturers since the last quarterly update of the Drug Products in the Medicaid Drug Rebate Program (MDRP) database. Each file on this table represents a snapshot of data in the system and is not updated by subsequent changes. Once the covered outpatient drugs in each of these files appear in the quarterly MDRP database, the file will be removed from this table. States can utilize these files to identify newly reported covered outpatient drugs.

Tags: drug-products, drug-rebate-program
Organization: U.S. Department of Health & Human Services
Number and rate of SMM among Medicaid- and CHIP-covered deliveries, 2017 - 2021

This table presents the number of beneficiaries with a delivery, the number of beneficiaries with any SMM condition, and the rate of SMM conditions per 10,000 deliveries, 2017 - 2021.

These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. 

Data from Maryland, Tennessee, and Utah are omitted from the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. 

Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

Tags: chip, maternal-health, medicaid, pregnancy
Organization: U.S. Department of Health & Human Services
State Tobacco Related Disparities Dashboard Data

2011–2023. The tobacco disparities dashboard data utilized the Behavioral Risk Factor Surveillance System (BRFSS) data to measure cigarette smoking disparities by age, disability, education, employment, income, mental health status, race and ethnicity, sex, and urban-rural status. The disparity value is the relative difference in the cigarette smoking prevalence among adults 18 and older in a focus group divided by the cigarette smoking prevalence among adults 18 and older in a reference group. A disparity value above 1 indicates that adults in the focus group smoke cigarettes at a higher rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value below 1 indicates that adults in the focus group smoke cigarettes at a lower rate, as reflected by the disparity value, compared with the rate among adults in the reference group who smoke cigarettes. A disparity value of 1 means there is no relative difference in the rate of adults who smoke cigarettes for the two groups compared.

Tags: brfss, cigarette-smoking, dashboard, disparities, tobacco
Organization: U.S. Department of Health & Human Services
PLACES: Local Data for Better Health, Census Tract Data 2023 release

This dataset contains model-based census tract estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for seven measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

Tags: behaviors, brfss, census-tract, disability, health, outcomes, places, prevalence, prevention, risk, status
Organization: U.S. Department of Health & Human Services
Cemeteries

<div style="text-align:Left;"><div><div><p>The dataset contains locations and attributes of Cemeteries, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database from OCTO identified Cemetery locations and DC GIS staff geo-processed the data.</p></div></div></div>

Tags: cemeteries, cultural, dc-gis, district-of-columbia, funeral, points-of-interest, society, washington-dc
Organization: District of Columbia
2016 Child and Adult Health Care Quality Measures

Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2016 reporting.

Source: Mathematica analysis of MACPro and Form CMS-416 reports for the FFY 2016 reporting cycle. For more information, see the <a href="https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/child-core-set/index.html">Children's Health Care Quality Measures</a> and <a href="https://www.medicaid.gov/medicaid/quality-of-care/performance-measurement/adult-core-set/index.html">Adult Health Care Quality Measures</a> webpages.

Tags: core-sets, performance-rates, quality-measures
Organization: U.S. Department of Health & Human Services
2022 Final Assisted Reproductive Technology (ART) Patient and Cycle Characteristics

ART data are made available as part of the National ART Surveillance System (NASS) that collects success rates, services, profiles and annual summary data from fertility clinics across the U.S. There are four datasets available: ART Services and Profiles, ART Patient and Cycle Characteristics, ART Success Rates, and ART Summary. All four datasets may be linked by “ClinicID.” ClinicID is a unique identifier for each clinic that reported cycles. The Patient and Cycle Characteristics dataset summarizes the types of ART services performed and the kinds of patients who received ART procedures in a specific clinic. Please note patient characteristics are presented per cycle rather than per patient. As a result, patients who had more than one ART cycle within the reporting year are represented more than once.

Tags: art, assisted-reproductive-technology, clinic, fertility, infertility, services, success-rates
Organization: U.S. Department of Health & Human Services
PLACES: Local Data for Better Health, Place Data 2023 release

This dataset contains model-based place (incorporated and census-designated places) estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. The dataset includes estimates for 36 measures: 13 for health outcomes, 9 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, and 3 for health status. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2021 or 2020 data, Census Bureau 2010 population data, and American Community Survey 2015–2019 estimates. The 2023 release uses 2021 BRFSS data for 29 measures and 2020 BRFSS data for 7 measures (all teeth lost, dental visits, mammograms, cervical cancer screening, colorectal cancer screening, core preventive services among older adults, and sleeping less than 7 hours) that the survey collects data on every other year. More information about the methodology can be found at  www.cdc.gov/places.

Tags: behaviors, brfss, city, disability, health, outcomes, place, places, prevalence, prevention, risk, status
Organization: U.S. Department of Health & Human Services
Vaccinations Provided to the Medicaid and CHIP Population under age 19

This data set includes monthly counts and rates (per 1,000 beneficiaries) of vaccinations provided to Medicaid and CHIP beneficiaries under age 19 (as of the first day of the month), by state. The following vaccinations are included: Chickenpox, DTaP, HPV, Hepatitis A, Hepatitis B, Influenza, MMR, Meningococcal, Meningococcal B, Pneumococcal conjugate, Pneumococcal polysaccharide, Polio, Rotavirus, Tdap, and all vaccinations. 

These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues for one or more months, making the data unusable for calculating vaccination measures. To assess data quality, analysts adapted measures featured in the DQ Atlas. Data for a state and month are considered unusable if at least one of the following topics meets the DQ Atlas threshold for unusable: Total Medicaid and CHIP Enrollment, Procedure Codes - OT Professional, Claims Volume - OT. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. 

Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.

Tags: chip, dq-atlas, medicaid, service-use, t-msis-analytic-files, vaccination
Organization: U.S. Department of Health & Human Services
Ellicott Plan Historic Map - 1792

Plan of the city of Washington in the territory of Columbia : ceded by the states of Virginia and Maryland to the United States of America, and by them established as the seat of their government, after the year MDCCC / engrav'd by Sam'l Hill, Boston ; in order to execute this plan, Mr. Ellicott drew a true meridional line.

Tags: 1792, district-of-columbia, ellicott-plan, historic, hm, imagery, washington-dc
Organization: District of Columbia
Medicaid Financial Management Data – National Totals

This dataset reports summary state-by-state total expenditures by program for the Medicaid Program, Medicaid Administration and CHIP programs.  These state expenditures are tracked through the automated Medicaid Budget and Expenditure System/State Children's Health Insurance Program Budget and Expenditure System (MBES/CBES).

For more information, visit https://medicaid.gov/medicaid/finance/state-expenditure-reporting/expenditure-reports/index.html.

Tags: cms-64-expenditures, financial-management-report, national-totals
Organization: U.S. Department of Health & Human Services