AndreaBozzo/ceres-open-data-index huggingface dataset:
AH Monthly Provisional Counts of Deaths for Select Causes of Death by Age, and Race and Hispanic Origin

Provisional counts of deaths by the month the deaths occurred, by age group and race/ethnicity, for select underlying causes of death for 2020-2021. Final data is provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

Tags: age, age-group, all-causes, alzheimer-disease, cancer, causes-of-death, cerebrovascular-disease, chronic-lower-respiratory-disease, coronavirus, covid-19, deaths, diabetes, diseases-of-heart, hispanic-origin, influenza, kidney-disease, monthly, mortality, natural-cause, nchs, nvss, pneumonia, provisional, race, respiratory-disease, septicemia, united-states
Organization: U.S. Department of Health & Human Services
Weekly Counts of Deaths by Jurisdiction, and Race and Hispanic Origin

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This visualization provides weekly data on the number of deaths from all causes by jurisdiction of occurrence and race and Hispanic origin. Numbers of deaths are also shown for all causes excluding COVID-19, and for COVID-19. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected.

Tags: all-causes, coronavirus, covid-19, deaths, hispanic-origin, mortality, nchs, nvss, provisional, puerto-rico, race, state, united-states, weekly
Organization: U.S. Department of Health & Human Services
Medicaid coverage among persons under age 65, by selected characteristics: United States

Data on Medicaid coverage among persons under age 65 by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National Health Interview Survey, health insurance supplements (1984, 1989, 1994-1996). Starting with 1997, data are from the family core and the sample adult questionnaires. Data for level of difficulty are from the 2010 Quality of Life, 2011-2017 Functioning and Disability, and 2018 Sample Adult questionnaires. For more information on the National Health Interview Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

Tags: african-americans, age, alaskan-natives, american-natives, asian-continental-ancestry-group, continental-population-groups, divorce, european-continental-ancestry-group, health-insurance, health-us, hispanic-americans, marital-status, medicaid, oceanic-ancestry-group, poverty, sex
Organization: U.S. Department of Health & Human Services
Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States

<strong>On December 20 2021, all estimates and standard errors for 2017–2018 were revised in this table to correct programming errors.</strong>

Data on initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Due to a change in national medical data coding standards in 2015, from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to the ICD-10-CM, the definition for injuries and injury subcategories changed for the 2017 reporting period and beyond. Results from 2017 and subsequent years should not be compared with previous reporting periods. Any observed changes in trends across this transition period should not be considered. Data for 2016 are not included. Additional information regarding injury definitions and categorization of injuries by mechanism and intent of injury is available at: https://www.cdc.gov/nchs/injury/injury_tools.htm. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version.

SOURCE: NCHS, National Hospital Ambulatory Medical Care Survey. For more information on the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.

Tags: accidental-falls, age, disasters, emergency-service, health-us, hospital, hospitals, sex, wounds-and-injuries
Organization: U.S. Department of Health & Human Services
AH Cumulative Provisional COVID-19 Deaths by Sex, Race, and Age from 1/1/2020 to 7/28/2020

Cumulative provisional counts of deaths sex, race/Hispanic origin, age group, and by select underlying causes of death.  The dataset also includes provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.  Includes deaths that occurred between January 1, 2020 to July 28, 2020.

Tags: age, age-group, all-causes, alzheimer-disease, cancer, causes-of-death, cerebrovascular-disease, chronic-lower-respiratory-disease, coronavirus, covid-19, deaths, diabetes, diseases-of-heart, hispanic-origin, influenza, kidney-disease, mortality, natural-cause, nchs, nvss, pneumonia, provisional, race, respiratory-disease, septicemia, sex, united-states
Organization: U.S. Department of Health & Human Services
NCHS - Drug Poisoning Mortality by State: United States

This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning from 1999 to 2015.

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.

Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).

Tags: deaths, drug-poisoning, mortality, national, nchs, state, united-states
Organization: U.S. Department of Health & Human Services
Distribution of COVID-19 Deaths and Populations, by Jurisdiction, Age, and Race and Hispanic Origin

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This visualization provides data that can be used to illustrate potential differences in the burden of deaths due to COVID-19 by race and ethnicity.

Tags: age, age-group, coronavirus, covid-19, death-rate, deaths, hispanic-origin, mortality, nchs, nvss, provisional, race, state, united-states
Organization: U.S. Department of Health & Human Services
AH Quarterly Excess Deaths by State, Sex, Age, and Race

Quarterly data on the number of deaths from all causes by state (of occurrence), sex, age group, and race/Hispanic origin group for the United States. Counts of deaths in more recent time periods can be compared with counts from earlier years (2015-2019) to determine if the number is higher than expected. Annual and cumulative counts (from Quarter 2, 2020 through the most recent quarter) are also shown.

Tags: age, age-group, all-causes, coronavirus, covid-19, deaths, excess-deaths, hispanic-origin, mortality, nchs, nvss, provisional, race, sex, state, united-states, weekly
Organization: U.S. Department of Health & Human Services
Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States

Data on visits to physician offices, hospital outpatient departments and hospital emergency departments by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version. Data for 2017 physician office visits are not available.

SOURCE: NCHS, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey. For more information on the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entries at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.

Tags: african-americans, age, continental-population-groups, disasters, emergency-service, european-continental-ancestry-group, health-us, hospital, hospitals, outpatients, physicians, physicians-offices, sex
Organization: U.S. Department of Health & Human Services
NCHS - Injury Mortality: United States

This dataset describes injury mortality in the United States beginning in 1999. Two concepts are included in the circumstances of an injury death: intent of injury and mechanism of injury. Intent of injury describes whether the injury was inflicted purposefully (intentional injury) and, if purposeful, whether the injury was self-inflicted (suicide or self-harm) or inflicted by another person (homicide). Injuries that were not purposefully inflicted are considered unintentional (accidental) injuries. Mechanism of injury describes the source of the energy transfer that resulted in physical or physiological harm to the body.

Tags: injury, mortality, nchs, united-states
Organization: U.S. Department of Health & Human Services
AH Excess Deaths by Sex, Age, and Race and Hispanic Origin

Weekly data on the number of deaths from all causes by sex, age group, and race/Hispanic origin group for the United States. Counts of deaths in more recent weeks can be compared with counts from earlier years (2015-2019) to determine if the number is higher than expected.

Tags: age, age-group, all-causes, coronavirus, covid-19, deaths, excess-deaths, hispanic-origin, mortality, nchs, nvss, provisional, race, sex, united-states, weekly
Organization: U.S. Department of Health & Human Services
Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Deaths involving COVID-19, pneumonia, and influenza reported to NCHS by race, age, and jurisdiction of occurrence.

Tags: age, age-group, all-causes, coronavirus, covid-19, deaths, hispanic-origin, influenza, mortality, nchs, nvss, pneumonia, provisional, puerto-rico, race, state, united-states
Organization: U.S. Department of Health & Human Services
Loss of Work Due to Illness from COVID-19

The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of loss of work due to illness with coronavirus for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included a question about the inability to work due to being sick or having a family member sick with COVID-19. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor work-loss days and work limitations in the United States. For example, in 2018, 42.7% of adults aged 18 and over missed at least 1 day of work in the previous year due to illness or injury and 9.3% of adults aged 18 to 69 were limited in their ability to work or unable to work due to physical, mental, or emotional problems. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who did not work for pay at a job or business, at any point, in the previous week because either they or someone in their family was sick with COVID-19. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/work.htm#limitations

Tags: covid-19, rands
Organization: U.S. Department of Health & Human Services
NCHS - Childhood Mortality Rates

This dataset of U.S. mortality trends since 1900 highlights childhood mortality rates by age group for age at death.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

Age groups for childhood death rates are based on age at death.

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf.

4. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Tags: children, death-rates, mortality, nchs, united-states
Organization: U.S. Department of Health & Human Services
AH Sickle Cell Disease Provisional Death Counts 2019-2021

Provisional death counts of sickle cell disease and coronavirus disease 2019 (COVID-19), by quarter, age, and race or Hispanic origin from 2019 through Quarter 1, 2021.

Tags: age, age-group, coronavirus, covid-19, deaths, hispanic-origin, mortality, nchs, nvss, provisional, quarterly, race, sickle-cell-disease, united-states
Organization: U.S. Department of Health & Human Services
Monthly Counts of Deaths by Select Causes, 2014-2019

Final counts of deaths by the month the deaths occurred and by select causes of death for 2014-2019.

Tags: all-causes, alzheimer-disease, cancer, causes-of-death, cerebrovascular-disease, chronic-lower-respiratory-disease, deaths, diabetes, diseases-of-heart, drug-overdose, homicide, influenza, kidney-disease, monthly, mortality, motor-vehicle-accidents, natural-cause, nchs, nvss, pneumonia, respiratory-disease, septicemia, suicide, unintentional-injuries, united-states
Organization: U.S. Department of Health & Human Services
U.S. State Life Expectancy by Sex, 2018

The dataset presents life expectancy at birth estimates based on annual complete period life tables for each of the 50 states and the District of Columbia (D.C.)
in 2018 for the total, male and female populations.

Tags: deaths, life-expectancy, mortality, nchs, nvss, sex, state, united-states
Organization: U.S. Department of Health & Human Services
Long-term Care and COVID-19

The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on long-term care every two years for all 50 states and the District of Columbia to monitor the diverse post-acute and long-term care fields. The 2020 survey provided an opportunity to collect COVID-19-related data for residential care communities and adult day services centers, important long-term care settings. These data are not available from other data systems. These data are related to experiences of COVID-19 from January 2020 through mid-July 2021, including the number of COVID-19 cases, hospitalizations, and deaths among users and staff, practices taken to reduce COVID-19 exposure and transmission, and personal protective equipment (PPE) shortages.

Tags: adult-day-services-centers, covid-19, long-term-care, residential-care-communities
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths and Contributing Conditions by Sex, Race and Hispanic Origin, and Age, 2020

This dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19), by sex, race and Hispanic origin, and age group, for 2020.

Tags: age, age-group, alzheimer-disease, cancer, cerebrovascular-disease, chronic-lower-respiratory-disease, circulatory-disease, coronavirus, covid-19, deaths, diabetes, health-conditions, hispanic-origin, hypertensive-disease, influenza, kidney-disease, mortality, nchs, nvss, pneumonia, provisional, race, respiratory-disease, septicemia, sex, united-states
Organization: U.S. Department of Health & Human Services
Healthy People 2020 Overview of Health Disparities

The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. This file contains summary level information used for the evaluation of changes in disparities during HP2020, including calculations for the disparities measures and the disparities change categories for all objectives and population characteristics in the analysis. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities-technical-notes.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures. 

Data for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/). 

Note that “rate” as used may refer to a statistical rate expressed per unit population or a proportion, depending on how the HP2020 objective was defined.

Tags: health-disparities, healthy-people-2020
Organization: U.S. Department of Health & Human Services
NCHS - Infant and neonatal mortality rates: United States, 1915-2013

Rates are infants (under 1 year) and neonatal (under 28 days) deaths per 1,000 live births.

https://www.cdc.gov/nchs/data-visualization/mortality-trends/

Tags: infant, mortality, nchs, neonatal, united-states
Organization: U.S. Department of Health & Human Services
AH Deaths by Week, Sex, and Age for 2018-2020

Death counts by age, sex, and week for years 2018-2020.  Data for 2018 and 2019 are final.  Data for 2020 are provisional.

Tags: age, age-group, all-causes, deaths, mortality, nchs, nvss, provisional, sex, united-states, weekly
Organization: U.S. Department of Health & Human Services
Public-Use Linked Mortality Files

NCHS has linked data from various surveys with death certificate records from the National Death Index (NDI). Linkage of the NCHS survey participant data with the NDI mortality data provides the opportunity to conduct a vast array of outcome studies designed to investigate the association of a wide variety of health factors with mortality. The Linked Mortality Files (LMF) have been updated with mortality follow-up data through December 31, 2019.

Public-use Linked Mortality Files (LMF) are available for 1986-2018 NHIS, 1999-2018 NHANES, and NHANES III. The files include a limited set of mortality variables for adult participants only. The public-use versions of the NCHS Linked Mortality Files were subjected to data perturbation techniques to reduce the risk of participant re-identification. For select records, synthetic data were substituted for follow-up time or underlying cause of death. Information regarding vital status was not perturbed.

Tags: linked-mortality-files, nchs-surveys, public-use-files, research-data-center, sdoh-access-to-health-care, sdoh-civid-participation, sdoh-crime-violence, sdoh-early-childhood, sdoh-employment, sdoh-environmental, sdoh-food-access, sdoh-food-insecurity, sdoh-health-literacy, sdoh-high-school, sdoh-higher-education, sdoh-housing-quality, sdoh-housing-stability, sdoh-language, sdoh-poverty-income, sdoh-social-emotional, sdoh-source-of-health-care, sdoh-transportation, sdoh-use-of-health-care, sdoh-workplace
Organization: U.S. Department of Health & Human Services