National Center for Health Statistics

National Center For Health Statistics datasets in the CDC Open Data Catalog

This page contains all datasets in the National Center For Health Statistics category of the CDC Open Data Catalog.

Total Datasets in Category: 213 Last Updated: 07/14/2025

Datasets in this Category

• Access and Use of Telemedicine During COVID-19

• AH County of Occurrence COVID-19 Death Counts, 2020 Provisional

• AH County of Residence COVID-19 Deaths Counts, 2020 Provisional

• AH Provisional COVID-19 Deaths by Age, United States, Week 40 2020 through Week 39 2021

• AH Cumulative Provisional COVID-19 Deaths by Sex, Race, and Age from 1/1/2020 to 7/28/2020

• AH Provisional COVID-19 Deaths and Contributing Conditions by Sex, Race and Hispanic Origin, and Age, 2020

• AH Provisional COVID-19 Deaths by County and Age for 2020

• AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age

• AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus

• AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021

• AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021

• AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015 to date

• AH Provisional COVID-19 Deaths by Quarter, County and Age for 2020

• AH Provisional COVID-19 Deaths By Race, Age, and Sex from 3/1/2020 to 7/31/2020

• AH Provisional COVID-19 Deaths by Race and Educational Attainment

• AH Provisional COVID-19 Death Counts by Week, Race, and Age, United States 2020-2023

• AH COVID-19 Death Counts by County and Week, 2020-present

• AH Cumulative Provisional COVID-19 Death Counts by Place of Death and Age Group from 2/1/2020 to 7/18/2020

• AH Cumulative Provisional Death Counts by Sex, Race, and Age from 1/1/2020 to 7/4/2020

• AH Deaths by Educational Attainment, 2019-2020

• AH Deaths by Week, Sex, and Age for 2018-2020

• AH Deaths by Year, Sex, and Age for 2015-2020

• AH Excess Deaths by Sex, Age, and Race and Hispanic Origin

• AH Monthly Provisional COVID-19 Deaths, by Census Region, Age, and Race and Hispanic Origin

• AH Monthly COVID-19 Deaths, by Census Region, Age, Place, and Race and Hispanic Origin, 2020 Provisional

• AH Monthly Provisional Counts of Deaths for Select Causes of Death by Age, and Race and Hispanic Origin

• AH Monthly Provisional Counts of Deaths by Age Group and HHS region for Select Causes of Death, 2019-2021

• AH Monthly Provisional Counts of Deaths for Select Causes of Death by Sex, Age, and Race and Hispanic Origin

• AH Provisional Cancer Death Counts by Month and Year, 2020-2021

• AH Provisional COVID-19 Deaths by Week and Age

• AH Provisional COVID-19 Deaths by Week, Sex, and Race and Hispanic Origin

• AH Provisional COVID-19 Deaths by Hospital Referral Region

• AH Provisional COVID-19 Deaths Counts by Health Service Area

• AH Provisional COVID-19 Death Counts by Quarter and County

• AH Provisional COVID-19 Deaths by Week and Age

• AH Provisional COVID-19 Deaths by Week, Place of Death, and Age

• AH Provisional Diabetes Death Counts for 2020

• AH Quarterly Excess Deaths by State, Sex, Age, and Race

• AH Sickle Cell Disease Provisional Death Counts 2019-2021

• Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days

• Asthma in children younger than age 18, by selected characteristics: United States.

• DQS Community hospital beds, by state: United States

• Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2023

• Distribution of COVID-19 Deaths and Populations, by Jurisdiction, Age, and Race and Hispanic Origin

• COVID-19 Hospital Data from the National Hospital Care Survey

• Death rates for suicide, by sex, race, Hispanic origin, and age: United States

• Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States

• DEV DQS NHANES Select Oral Health Prevalence Estimates

• DEV DQS NHANES Select Chronic Conditions Prevalence Estimates

• DEV DQS NHANES Select Infectious Diseases Prevalence Estimates

• DEV DQS NHANES Select Mean Dietary Intake Estimates

• DEV DQS NHIS Adult Summary Health Statistics

• DEV DQS NHIS Children Summary Statistics

• DEV DQS Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

• DQS Cholesterol in adults age 20 and older, by selected characteristics: United States

• DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States

• DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER

• DQS Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States(Archived)

• DQS Dentists, by state: United States.

• DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER

• DQS Estimate of Emergency Department Visits in the United States, 2016-2022

• DQS Estimate of Emergency Department Visits in the United States Footnotes

• DQS Fetal, late fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother United States

• DQS Functional difficulties in adults age 18 and older, by selected characteristics: United States

• DQS Health care employment and wages, by selected occupations: United States

• DQS Hypertension in adults age 20 and older, by selected characteristics: United States.

• DEV DQS Hypertension in adults age 20 and older, by selected characteristics: United States.

• DQS Infant mortality rates, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas (Archived)

• DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States

• DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States (Archived)

• DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States

• DQS Low birthweight live births, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas

• DEV DQS Low birthweight live births, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas

• DQS Medicaid coverage among persons under age 65, by selected characteristics: United States (Archived)

• DQS NHANES Select Chronic Conditions Prevalence Estimates

• DQS NHANES Footnotes

• DQS NHANES Select Oral Health Prevalence Estimates

• DQS NHANES Select Infectious Diseases Prevalence Estimates

• DQS NHANES Select Mean Dietary Intake Estimates

• DQS NHIS Adult Summary Statistics Footnotes

• DQS NHIS Adult Summary Health Statistics

• DQS NHIS Children Summary Statistics Footnotes

• DQS NHIS Children Summary Statistics

• DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States

• DQS Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

• DQS Prescription drug use in the past 30 days, by sex, race and Hispanic origin, and age group: United States

• DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States

• DQS Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States

• DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER

• Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States

• Drug Use Data from Selected Hospitals

• Early Model-based Provisional Estimates of Drug Overdose, Suicide, and Transportation-related Deaths

• Estimates of Emergency Department Visits in the United States from 2016-2022

• Excess Deaths Associated with COVID-19

• Healthy People 2020 Final Progress by Population Group Chart and Table

• Healthy People 2020 Final Progress Table

• Healthy People 2020 Foundation Health Measures

• Healthy People 2020 Overview of Health Disparities

• Health conditions among children under age 18, by selected characteristics: United States

• Indicators of Health Insurance Coverage at the Time of Interview

• HUS_Footnote_Look_Up_ASTHCH

• Indicators of Reduced Access to Care Due to the Coronavirus Pandemic During Last 4 Weeks

• Infant, neonatal, postneonatal, fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother: United States

• Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States

• Lack of Social Connection

• Long-term Care and COVID-19

• Loss of Work Due to Illness from COVID-19

• Medicaid coverage among persons under age 65, by selected characteristics: United States

• Mental Health Care in the Last 4 Weeks

• Monthly Counts of Deaths by Select Causes, 2014-2019

• Monthly Provisional Counts of Deaths by Select Causes, 2020-2023

• NCHS - Age-adjusted Death Rates for Selected Major Causes of Death

• NCHS - Percent Distribution of Births for Females by Age Group: United States

• NCHS - Births and General Fertility Rates: United States

• NCHS - Births to Unmarried Women by Age Group: United States

• NCHS - Percent Distribution of Births to Unmarried Women by Age Group: United States

• NCHS - Birth Rates for Females by Age Group: United States

• NCHS - Birth Rates for Unmarried Women by Age, Race, and Hispanic Origin: United States

• NCHS - Birth Rates for Women Aged 15-17, 17-18, and 15-19: United States, 1960-2015

• NCHS - Childhood Mortality Rates

• NCHS - Death rates and life expectancy at birth

• NCHS - Drug Poisoning Mortality by County: United States

• NCHS - Drug Poisoning Mortality by County: United States

• NCHS - Drug Poisoning Mortality by County: United States

• NCHS - Drug Poisoning Mortality by State: United States

• NCHS - Drug Poisoning Mortality by State: United States

• NCHS - Drug Poisoning Mortality by State: United States

• NCHS - Infant Mortality Rates, by Race: United States, 1915-2013

• NCHS - Infant and neonatal mortality rates: United States, 1915-2013

• NCHS - Injury Mortality: United States

• NCHS - Injury Mortality: United States

• NCHS - Leading Causes of Death: United States

• NCHS - Natality Measures for Females by Hispanic Origin Subgroup: United States

• NCHS - Natality Measures for Females by Race and Hispanic Origin: United States

• NCHS - Nonmarital Birth Rates, by Age Group for All Women Age 15-44: United States, 1970-2013

• NCHS - Potentially Excess Deaths from the Five Leading Causes of Death

• NCHS - Pregnancy and Live Birth Rates, by Marital Status and Race and Hispanic Origin: United States, 1990-2010

• NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010

• NCHS Rapid Surveys System

• NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County

• NCHS - Teen Birth Rates for Females by Age Group, Race, and Hispanic Origin: United States

• NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000

• NCHS - U.S. and State Trends on Teen Births

• NCHS - VSRR Quarterly provisional estimates for infant mortality

• NCHS - VSRR Quarterly provisional estimates for selected birth indicators

• NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality

• NHANES Select Chronic Conditions Prevalence Estimates

• NHANES Select Infectious Diseases Prevalence Estimates

• NHANES Select Oral Health Prevalence Estimates

• NHANES Select Mean Dietary Intake Estimates

• NHIS Adult 3-Year Summary Health Statistics

• NHIS Adult Summary Health Statistics

• NHIS Child Summary Health Statistics

• NHIS Interactive Biannual Early Release Estimates

• NHIS Interactive Quarterly Early Release Estimates

• NHIS Teen

• Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States

• Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

• Physician Experiences Related to COVID-19 from the National Ambulatory Medical Care Survey

• Population Group Estimates used in the Healthy People 2020 Overview of Health Disparities

• Biennial Overview of Post-acute and Long-term Care in the United States: Data from the National Post-acute and Long-term Care Study

• Post-COVID Conditions

• Preliminary Estimates of Visits to Health Centers in the United States, January 2022-December 2024

• Prevalence of Selected Measures Among Adults Aged 20 and Over: United States, 1999-2000 through 2017-2018

• Provisional COVID-19 Deaths: Focus on Ages 0-18 Years

• Provisional COVID-19 Death Counts by Age in Years, 2020-2023

• Provisional COVID-19 Deaths by County, and Race and Hispanic Origin

• Provisional COVID-19 Deaths by Sex and Age

• Provisional COVID-19 Death Counts by Week Ending Date and State

• Provisional COVID-19 Deaths by Week, Sex, and Age

• Provisional COVID-19 Deaths by HHS Region, Race, and Age

• Provisional COVID-19 Deaths by Place of Death and Age

• Provisional COVID-19 Deaths by Place of Death and State

• Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age

• Provisional COVID-19 Deaths: Distribution of Deaths by Race and Hispanic Origin

• Provisional COVID-19 Deaths by Week and County Social Vulnerability Index

• Provisional COVID-19 Deaths by Week and Urbanicity

• Provisional COVID-19 death counts and rates, by jurisdiction of residence and demographic characteristics

• Provisional COVID-19 death counts, rates, and percent of total deaths, by jurisdiction of residence

• Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics

• Provisional COVID-19 Death Counts in the United States by County

• Provisional Percent of Deaths for COVID-19, Influenza, and RSV

• Provisional Percent of Deaths for COVID-19, Influenza, and RSV by Select Characteristics

• Provisional Death Counts for Coronavirus Disease (COVID-19)

• Provisional Death Counts for Influenza, Pneumonia, and COVID-19

• Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12 month-ending December 2018-December 2020

• Provisional drug overdose death counts for specific drugs

• Reduced Access to Care During COVID-19

• VSRR - State and National Provisional Counts for Live Births, Deaths, and Infant Deaths

• Telemedicine Use in the Last 4 Weeks

• DEV DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER

• DEV DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER

• DEV DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER

• DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States

• DEV DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States

• DEV DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States

• U.S. Life Expectancy at Birth by State and Census Tract - 2010-2015

• DEV DQS Prescription drug use in the past 30 days, by sex, race and Hispanic origin, and age group: United States

• U.S. State Life Expectancy by Sex, 2018

• U.S. State Life Expectancy by Sex, 2019

• U.S. State Life Expectancy by Sex, 2020

• U.S. State Life Expectancy by Sex, 2021

• DEV DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States

• Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States

• VSRR Provisional County-Level Drug Overdose Death Counts

• VSRR Provisional Drug Overdose Death Counts

• VSRR Provisional Maternal Death Counts and Rates

• Weekly Counts of Deaths by Jurisdiction and Age

• Weekly Counts of Deaths by Jurisdiction, and Race and Hispanic Origin

• Weekly Counts of Death by Jurisdiction and Select Causes of Death

• Weekly counts of deaths from all causes by jurisdiction, 2015-2019

• Weekly Counts of Deaths by State and Select Causes, 2014-2019

• Weekly Provisional Counts of Deaths by State and Select Causes, 2020-2023

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Access and Use of Telemedicine During COVID-19

• Description: 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 telemedicine access and use 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 questions about whether providers offered telemedicine (including video and telephone appointments) in the last 2 months—both during and before the pandemic—and about the use of telemedicine in the last 2 months during the pandemic. As a result of the coronavirus pandemic, many local and state governments discouraged people from leaving their homes for nonessential reasons. Although health care is considered an essential activity, telemedicine offers an opportunity for care without the potential or perceived risks of leaving the home. The National Health Interview Survey, conducted by NCHS, added telemedicine questions to its sample adult questionnaire in July 2020. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/telemedicine-use.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of telemedicine use during the pandemic (beginning in Phase 3.1, which started on April 14, 2021). The Household Pulse Survey reports telemedicine use in the last 4 weeks among adults and among households with at least one child under age 18 years. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who have a usual place of care and a provider that offered telemedicine in the past 2 months, who used telemedicine in the past 2 months, or who have a usual place of care and a provider that offered telemedicine prior to the coronavirus pandemic. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/telemedicine.htm#limitations

• Schema: dwv_nchs_stats

• Table Name: access_use_telemedicine_covid19__8xy9_ubqz

• Dataset ID: 8xy9-ubqz

• Category: National Center for Health Statistics

• Tags: covid-19, rands, sdoh-access-to-health-care, sdoh-higher-education, sdoh-high-school, sdoh-use-of-health-care

• Source Data: https://data.cdc.gov/d/8xy9-ubqz

AH County of Occurrence COVID-19 Death Counts, 2020 Provisional

• Description: Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of occurrence, from January 1, 2020 through December 31, 2020.

• Schema: dwv_nchs_stats

• Table Name: ah_county_occurrence_covid19_death_coun__6vqh_esgs

• Dataset ID: 6vqh-esgs

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, county, covid-19, deaths, mortality, nchs, nvss, provisional, united states, yearly

• Source Data: https://data.cdc.gov/d/6vqh-esgs

AH County of Residence COVID-19 Deaths Counts, 2020 Provisional

• Description: Provisional count of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence, from January 1, 2020 through December 31, 2020.

• Schema: dwv_nchs_stats

• Table Name: ah_county_residence_covid19_deaths_coun__75vb_d79q

• Dataset ID: 75vb-d79q

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, county, covid-19, deaths, mortality, nchs, nvss, provisional, united states, yearly

• Source Data: https://data.cdc.gov/d/75vb-d79q

AH Provisional COVID-19 Deaths by Age, United States, Week 40 2020 through Week 39 2021

• Description: Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by age group among United States residents, from MMWR Week 40 2020 through MMWR Week 39 2021. Age groups: 0-4, 5-11, 12-15, 16-17, 18-24, 25-39, 40-49, 50-64, 65-74, and 75+ years

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_age_us_w40_2020_w39_2__mawz_airi

• Dataset ID: mawz-airi

• Category: National Center for Health Statistics

• Tags: nchs, nvss, deaths, mortality, provisional, united states, coronavirus, covid-19, age group, age, all causes

• Source Data: https://data.cdc.gov/d/mawz-airi

AH Cumulative Provisional COVID-19 Deaths by Sex, Race, and Age from 1/1/2020 to 7/28/2020

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_by_sex_race_age_to_7___mwk9_wnfr

• Dataset ID: mwk9-wnfr

• Category: National Center for Health Statistics

• 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

• Source Data: https://data.cdc.gov/d/mwk9-wnfr

AH Provisional COVID-19 Deaths and Contributing Conditions by Sex, Race and Hispanic Origin, and Age, 2020

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_contributing_conditio__tdmv_axfy

• Dataset ID: tdmv-axfy

• Category: National Center for Health Statistics

• Tags: nchs, nvss, mortality, deaths, united states, provisional, health conditions, covid-19, coronavirus, sex, age, age group, race, hispanic origin, septicemia, cancer, diabetes, alzheimer disease, influenza, pneumonia, chronic lower respiratory disease, respiratory disease, kidney disease, circulatory disease, hypertensive disease, cerebrovascular disease

• Source Data: https://data.cdc.gov/d/tdmv-axfy

AH Provisional COVID-19 Deaths by County and Age for 2020

• Description: Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, from January 1, 2020 through December 31, 2020.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_county_age_2020__xmrr_rw5u

• Dataset ID: xmrr-rw5u

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, county, covid-19, deaths, mortality, nchs, nvss, provisional, sdoh-environmental, united states, yearly

• Source Data: https://data.cdc.gov/d/xmrr-rw5u

AH Provisional COVID-19 Deaths by Educational Attainment, Race, Sex, and Age

• Description: Provisional counts of deaths in the United States by educational attainment, race, sex, and age group. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_educ_race_sex_age__3ts8_hsrw

• Dataset ID: 3ts8-hsrw

• Category: National Center for Health Statistics

• Tags: education, race, age, sex, covid-19, nchs, nvss, provisional, mortality, deaths, united states, age group, hispanic origin, coronavirus, all causes, sdoh-high-school, sdoh-higher-education

• Source Data: https://data.cdc.gov/d/3ts8-hsrw

AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus

• Description: Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age groups (<65, 65-74. 75-84, 85+, and 65+). United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_hhs_race_age65plus__9xc7_3a4q

• Dataset ID: 9xc7-3a4q

• Category: National Center for Health Statistics

• Tags: covid-19, race, hispanic origin, age, deaths, nchs, nvss, provisional, coronavirus, age group, weekly, all causes, mortality, united states, hhs region

• Source Data: https://data.cdc.gov/d/9xc7-3a4q

AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015-2021

• Description: Provisional deaths involving coronavirus disease 2019 (COVID-19) and deaths from all causes reported to NCHS by week the death occurred, HHS region of occurrence, race and Hispanic origin, and age group (0-24, 25-64, 65+ years), from 2015-2021. United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_hhs_race_age_2015_202__xy7w_35q7

• Dataset ID: xy7w-35q7

• Category: National Center for Health Statistics

• Tags: nchs, nvss, provisional, deaths, mortality, united states, hhs region, age, age group, race, hispanic origin, weekly, all causes, covid-19, coronavirus

• Source Data: https://data.cdc.gov/d/xy7w-35q7

AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021

• Description: Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period (week, month, year), HHS region, race and Hispanic origin, and age group (0-24, 25-64, 65+ years) for 2020-2021. United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_hhs_race_age_2020_21__q85u_gmyc

• Dataset ID: q85u-gmyc

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, hhs region, hispanic origin, monthly, mortality, nchs, nvss, provisional, puerto rico, race, united states, weekly, yearly

• Source Data: https://data.cdc.gov/d/q85u-gmyc

AH Provisional COVID-19 Deaths by HHS Region, Race, and Age, 2015 to date

• Description: Deaths from all causes and deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group. United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_hhs_race_age_xplanati__k5dc_apj8

• Dataset ID: k5dc-apj8

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, children, coronavirus, covid-19, deaths, hhs region, hispanic origin, mortality, nchs, nvss, provisional, puerto rico, race, united states, weekly

• Source Data: https://data.cdc.gov/d/k5dc-apj8

AH Provisional COVID-19 Deaths by Quarter, County and Age for 2020

• Description: Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, for 2020 by quarter.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_quarterly_county_age___ypxr_mz8e

• Dataset ID: ypxr-mz8e

• Category: National Center for Health Statistics

• Tags: nvss, nchs, provisional, mortality, deaths, quarterly, county, united states, covid-19, coronavirus, all causes, age group, age, sdoh-environmental

• Source Data: https://data.cdc.gov/d/ypxr-mz8e

AH Provisional COVID-19 Deaths By Race, Age, and Sex from 3/1/2020 to 7/31/2020

• Description: Provisional counts of deaths in the United States by age group, sex, and race/ethnicity, from March-July 2020. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_race_age_sex_3_1_7_31__s9qn_46pq

• Dataset ID: s9qn-46pq

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, hispanic origin, mortality, nchs, nvss, provisional, race, sex, united states

• Source Data: https://data.cdc.gov/d/s9qn-46pq

AH Provisional COVID-19 Deaths by Race and Educational Attainment

• Description: Provisional counts of deaths in the United States by race and educational attainment. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_race_education_xplana__i6ej_9eac

• Dataset ID: i6ej-9eac

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, covid-19, deaths, education, hispanic origin, mortality, nchs, nvss, provisional, race, sdoh-higher-education, sdoh-high-school, united states

• Source Data: https://data.cdc.gov/d/i6ej-9eac

AH Provisional COVID-19 Death Counts by Week, Race, and Age, United States 2020-2023

• Description: Provisional deaths involving COVID-19 reported to NCHS by MMWR week, race and Hispanic origin, and age group. Deaths occurred in the United States. Age groups: 0-4, 5-11, 12-17, 18-29, 30-39, 40-49, 50-64, 65-74, and 75+ years

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_deaths_week_race_age_us_2020__siwp_yg6m

• Dataset ID: siwp-yg6m

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, children, coronavirus, covid-19, deaths, hispanic origin, mortality, nchs, nvss, provisional, race, united states, weekly

• Source Data: https://data.cdc.gov/d/siwp-yg6m

AH COVID-19 Death Counts by County and Week, 2020-present

• Description: Provisional count of deaths involving COVID-19 by United States county of occurrence, by week of death.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_death_counts_by_county_week___ite7_j2w7

• Dataset ID: ite7-j2w7

• Category: National Center for Health Statistics

• Tags: deaths, mortality, covid-19, county, nchs, coronavirus, all causes, nvss, provisional, weekly, united states, sdoh-environmental

• Source Data: https://data.cdc.gov/d/ite7-j2w7

AH Cumulative Provisional COVID-19 Death Counts by Place of Death and Age Group from 2/1/2020 to 7/18/2020

• Description: Deaths involving coronavirus disease 2019 (COVID-19) and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.

• Schema: dwv_nchs_stats

• Table Name: ah_covid19_death_counts_place_age_xplan__g4z9_a9d3

• Dataset ID: g4z9-a9d3

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, mortality, nchs, nvss, place of death, pneumonia, provisional, puerto rico, state, united states

• Source Data: https://data.cdc.gov/d/g4z9-a9d3

AH Cumulative Provisional Death Counts by Sex, Race, and Age from 1/1/2020 to 7/4/2020

• Description: 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 4, 2020.

• Schema: dwv_nchs_stats

• Table Name: ah_cumulative_provisional_death_counts___sf7h_sajc

• Dataset ID: sf7h-sajc

• Category: National Center for Health Statistics

• 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, weekly

• Source Data: https://data.cdc.gov/d/sf7h-sajc

AH Deaths by Educational Attainment, 2019-2020

• Description: Deaths by educational attainment, race, sex, and age group for deaths occurring in the United States. Data are final for 2019 and provisional for 2020. The dataset includes annual counts of death for total deaths and for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

• Schema: dwv_nchs_stats

• Table Name: ah_deaths_educattainment_2019_2020__4ueh_89p9

• Dataset ID: 4ueh-89p9

• Category: National Center for Health Statistics

• Tags: deaths, covid-19, education, race, age, sex, nchs, nvss, mortality, united states, yearly, coronavirus, hispanic origin, age group, provisional, all causes, sdoh-high-school, sdoh-higher-education

• Source Data: https://data.cdc.gov/d/4ueh-89p9

AH Deaths by Week, Sex, and Age for 2018-2020

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

• Schema: dwv_nchs_stats

• Table Name: ah_deaths_week_sex_age_2018_2020_xplana__w56u_89fn

• Dataset ID: w56u-89fn

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, deaths, mortality, nchs, nvss, provisional, sex, united states, weekly

• Source Data: https://data.cdc.gov/d/w56u-89fn

AH Deaths by Year, Sex, and Age for 2015-2020

• Description: Death counts by age and sex for years 2015-2020. Data for 2015-2019 are final. Data for 2020 are provisional.

• Schema: dwv_nchs_stats

• Table Name: ah_deaths_year_sex_age_2015_2020_xplana__chcz_j2du

• Dataset ID: chcz-j2du

• Category: National Center for Health Statistics

• Tags: nchs, nvss, provisional, deaths, mortality, united states, yearly, age, age group, sex, all causes

• Source Data: https://data.cdc.gov/d/chcz-j2du

AH Excess Deaths by Sex, Age, and Race and Hispanic Origin

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: ah_excess_deaths_sex_age_race_hispanic___m74n_4hbs

• Dataset ID: m74n-4hbs

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, excess deaths, hispanic origin, mortality, nchs, nvss, provisional, race, sex, united states, weekly

• Source Data: https://data.cdc.gov/d/m74n-4hbs

AH Monthly Provisional COVID-19 Deaths, by Census Region, Age, and Race and Hispanic Origin

• Description: Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin.

• Schema: dwv_nchs_stats

• Table Name: ah_monthly_covid19_deaths_census_age_ra__aie4_agrk

• Dataset ID: aie4-agrk

• Category: National Center for Health Statistics

• Tags: age, age group, census region, coronavirus, covid-19, deaths, hispanic origin, monthly, mortality, nchs, nvss, place of death, provisional, race, sex, united states

• Source Data: https://data.cdc.gov/d/aie4-agrk

AH Monthly COVID-19 Deaths, by Census Region, Age, Place, and Race and Hispanic Origin, 2020 Provisional

• Description: Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin: May-August 2020.

• Schema: dwv_nchs_stats

• Table Name: ah_monthly_covid19_deaths_census_region__w4jm_mysj

• Dataset ID: w4jm-mysj

• Category: National Center for Health Statistics

• Tags: nchs, nvss, provisional, mortality, deaths, united states, monthly, age group, age, race, hispanic origin, sex, covid-19, coronavirus, place of death, census region

• Source Data: https://data.cdc.gov/d/w4jm-mysj

AH Monthly Provisional Counts of Deaths for Select Causes of Death by Age, and Race and Hispanic Origin

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: ah_monthly_deaths_counts_age_race_hispa__r5pw_bk5t

• Dataset ID: r5pw-bk5t

• Category: National Center for Health Statistics

• Tags: age, race, hispanic origin, monthly, nchs, nvss, age group, united states, mortality, coronavirus, covid-19, all causes, provisional, causes of death, deaths, natural cause, septicemia, cancer, diabetes, alzheimer disease, influenza, pneumonia, chronic lower respiratory disease, respiratory disease, kidney disease, diseases of heart, cerebrovascular disease

• Source Data: https://data.cdc.gov/d/r5pw-bk5t

AH Monthly Provisional Counts of Deaths by Age Group and HHS region for Select Causes of Death, 2019-2021

• Description: Provisional counts of deaths by the month the deaths occurred, by age group and HHS region, for select underlying causes of death for 2019-2020. 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.

• Schema: dwv_nchs_stats

• Table Name: ah_monthly_deaths_counts_hhs_region_cau__ezfr_g6hf

• Dataset ID: ezfr-g6hf

• Category: National Center for Health Statistics

• 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, hhs region, influenza, kidney disease, monthly, mortality, natural cause, nchs, nvss, pneumonia, provisional, respiratory disease, septicemia, united states

• Source Data: https://data.cdc.gov/d/ezfr-g6hf

AH Monthly Provisional Counts of Deaths for Select Causes of Death by Sex, Age, and Race and Hispanic Origin

• Description: Provisional counts of deaths by the month the deaths occurred, by age group, sex, and race/ethnicity, for select underlying causes of death for 2020-2021. Final data are 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.

• Schema: dwv_nchs_stats

• Table Name: ah_monthly_deaths_select_causes_sex_age__65mz_jvh5

• Dataset ID: 65mz-jvh5

• Category: National Center for Health Statistics

• 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, sex, united states

• Source Data: https://data.cdc.gov/d/65mz-jvh5

AH Provisional Cancer Death Counts by Month and Year, 2020-2021

• Description: Provisional death counts of malignant neoplasms (cancer) by month and year, and other selected demographics, for 2020-2021. Data are based on death certificates for U.S. residents.

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_cancer_death_counts_mont__2na8_fe6s

• Dataset ID: 2na8-fe6s

• Category: National Center for Health Statistics

• Tags: nchs, nvss, provisional, deaths, mortality, united states, monthly, sex, age, age group, cancer, race, hispanic origin

• Source Data: https://data.cdc.gov/d/2na8-fe6s

AH Provisional COVID-19 Deaths by Week and Age

• Description: Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by jurisdiction of occurrence, week, and age group.

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_covid19_deaths_by_week_a__ikd3_vynf

• Dataset ID: ikd3-vynf

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, mortality, nchs, nvss, provisional, state, united states, weekly

• Source Data: https://data.cdc.gov/d/ikd3-vynf

AH Provisional COVID-19 Deaths by Week, Sex, and Race and Hispanic Origin

• Description: Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by week, sex, and race and Hispanic origin. Deaths occurred in the United States.

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_covid19_deaths_by_week_s__9z9x_g48e

• Dataset ID: 9z9x-g48e

• Category: National Center for Health Statistics

• Tags: nchs, nvss, provisional, deaths, mortality, covid-19, coronavirus, all causes, sex, weekly, united states, race, hispanic origin

• Source Data: https://data.cdc.gov/d/9z9x-g48e

AH Provisional COVID-19 Deaths by Hospital Referral Region

• Description: Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by week of death and by hospital referral region (HRR). HRR is determined by county of occurrence. Weekly weighted counts of deaths from all causes and due to COVID-19 are provided by HRR overall and for decedents 65 years and older. The weighted counts by HRRs are based on published methods for aggregating county-level data to HRRs. More detail about aggregating to HRRs from counties can be found in the following: https://github.com/Dartmouth-DAC/covid-19-hrr-mapping https://dartmouthatlas.org/covid-19/hrr-mapping/

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_covid19_deaths_hospital___mqmc_4b9n

• Dataset ID: mqmc-4b9n

• Category: National Center for Health Statistics

• Tags: nchs, deaths, mortality, covid-19, coronavirus, hospital referral region, all causes, nvss, weekly, provisional, united states, sdoh-access-to-health-care

• Source Data: https://data.cdc.gov/d/mqmc-4b9n

AH Provisional COVID-19 Deaths Counts by Health Service Area

• Description: Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by health service area. Health service area is determined by the decedent's county of residence.

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_covid19_deaths_hs_area__7873_6w4v

• Dataset ID: 7873-6w4v

• Category: National Center for Health Statistics

• Tags: covid-19, deaths, health service area, nchs, mortality, coronavirus, yearly, nvss, all causes, provisional, united states

• Source Data: https://data.cdc.gov/d/7873-6w4v

AH Provisional COVID-19 Death Counts by Quarter and County

• Description: Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by quarter and county of residence, in the United States, 2020-2021.

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_covid19_deaths_quarter_c__dnhi_s2bf

• Dataset ID: dnhi-s2bf

• Category: National Center for Health Statistics

• Tags: nchs, nvss, deaths, mortality, provisional, united states, county, quarterly, covid-19, coronavirus, all causes

• Source Data: https://data.cdc.gov/d/dnhi-s2bf

AH Provisional COVID-19 Deaths by Week and Age

• Description: Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by week and age group, in the United States.

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_covid19_deaths_week_age__6mjs_pnrx

• Dataset ID: 6mjs-pnrx

• Category: National Center for Health Statistics

• Tags: nchs, nvss, deaths, mortality, provisional, united states, weekly, covid-19, coronavirus, all causes

• Source Data: https://data.cdc.gov/d/6mjs-pnrx

AH Provisional COVID-19 Deaths by Week, Place of Death, and Age

• Description: Provisional death counts of COVID-19 deaths by place of death, week, and age. Data source: National Center for Health Statistics National Vital Statistics System. Provisional data for 2020-2021.

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_covid19_deaths_week_plac__g7hk_rc8d

• Dataset ID: g7hk-rc8d

• Category: National Center for Health Statistics

• Tags: nchs, nvss, provisional, mortality, deaths, united states, weekly, place of death, age group, age, covid-19, coronavirus

• Source Data: https://data.cdc.gov/d/g7hk-rc8d

AH Provisional Diabetes Death Counts for 2020

• Description: Provisional death counts of diabetes, coronavirus disease 2019 (COVID-19) and other select causes of death, by month, sex, and age.

• Schema: dwv_nchs_stats

• Table Name: ah_provisional_diabetes_death_counts_20__qdcb_uzft

• Dataset ID: qdcb-uzft

• Category: National Center for Health Statistics

• Tags: age, age group, causes of death, chronic liver disease, chronic lower respiratory disease, cirrhosis, coronavirus, covid-19, deaths, diabetes, hypertensive disease, kidney disease, major cardiovascular diseases, monthly, mortality, nchs, nvss, obesity, provisional, sex, united states

• Source Data: https://data.cdc.gov/d/qdcb-uzft

AH Quarterly Excess Deaths by State, Sex, Age, and Race

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: ah_quarterly_deaths_state_sex_age_race__jqg8_ycmh

• Dataset ID: jqg8-ycmh

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, excess deaths, hispanic origin, mortality, nchs, nvss, provisional, race, sex, state, united states, weekly

• Source Data: https://data.cdc.gov/d/jqg8-ycmh

AH Sickle Cell Disease Provisional Death Counts 2019-2021

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: ah_sickle_cell_disease_provisional_deat__3sh4_uqpm

• Dataset ID: 3sh4-uqpm

• Category: National Center for Health Statistics

• Tags: age, age group, coronavirus, covid-19, deaths, hispanic origin, mortality, nchs, nvss, provisional, quarterly, race, sickle cell disease, united states

• Source Data: https://data.cdc.gov/d/3sh4-uqpm

Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days

• Description: The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,

• Schema: dwv_nchs_stats

• Table Name: anxiety_depression_indicators_last_7_da__8pt5_q6wp

• Dataset ID: 8pt5-q6wp

• Category: National Center for Health Statistics

• Tags: anxiety, covid-19, depression

• Source Data: https://data.cdc.gov/d/8pt5-q6wp

Asthma in children younger than age 18, by selected characteristics: United States.

• Description: Data on asthma in children younger than age 18 in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey.

• Schema: dwv_nchs_stats

• Table Name: asthma_children_under18_us_xplanation_o__aewi_gwni

• Dataset ID: aewi-gwni

• Category: National Center for Health Statistics

• Source Data: https://data.cdc.gov/d/aewi-gwni

DQS Community hospital beds, by state: United States

• Description: Data on community hospital beds in the United States, by state. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics. 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.

• Schema: dwv_nchs_stats

• Table Name: community_hospital_beds_us_state__uiux_mrvg

• Dataset ID: uiux-mrvg

• Category: National Center for Health Statistics

• Tags: american hospital association, community hospital beds, health us, hospital, sdoh-access-to-health-care, state

• Source Data: https://data.cdc.gov/d/uiux-mrvg

Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2023

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. This dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19) by age group and jurisdiction of occurrence. 2022 and 2023 data are provisional. Estimates for 2020 and 2021 are based on final data.

• Schema: dwv_nchs_stats

• Table Name: conditions_covid19_deaths_state_age_pro__hk9y_quqm

• Dataset ID: hk9y-quqm

• Category: National Center for Health Statistics

• Tags: adult respiratory distress syndrome, age, age group, alzheimer disease, cancer, cardiac arrest, cardiac arrhythmia, cerebrovascular disease, chronic lower respiratory disease, circulatory disease, coronavirus, covid-19, deaths, dementia, diabetes, health conditions, heart failure, hypertensive disease, influenza, injury, ischemic heart disease, monthly, mortality, nchs, nvss, obesity, pneumonia, provisional, puerto rico, renal failure, respiratory arrest, respiratory disease, respiratory failure, septicemia, state, united states, yearly

• Source Data: https://data.cdc.gov/d/hk9y-quqm

Distribution of COVID-19 Deaths and Populations, by Jurisdiction, Age, and Race and Hispanic Origin

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: covid19_deaths_pop_jurisdiction_age_rac__jwta_jxbg

• Dataset ID: jwta-jxbg

• Category: National Center for Health Statistics

• Tags: age, age group, coronavirus, covid-19, death rate, deaths, hispanic origin, mortality, nchs, nvss, provisional, race, state, united states

• Source Data: https://data.cdc.gov/d/jwta-jxbg

COVID-19 Hospital Data from the National Hospital Care Survey

• Description: The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). Additionally, the NHCS contributes data that may inform public health emergencies as the survey is designed to capture emerging diseases and viruses that require hospitalizations, including COVID-19 encounters. The 2020 - 2023 NHCS are not yet fully operational so it is important to note that these data are not nationally representative. The data are from 26 hospitals submitting inpatient and 26 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from March 18, 2020-December 26, 2023. Even though the data are not nationally representative, they can provide insight on the impact of COVID-19 on various types of hospitals throughout the country. This information is not available in other hospital reporting systems. The NHCS data from these hospitals can show results by a combination of indicators related to COVID-19, such as length of inpatient stay, in-hospital mortality, comorbidities, and intubation or ventilator use. NHCS data allow for reporting on patient conditions and treatments within the hospital over time.

• Schema: dwv_nchs_stats

• Table Name: covid19_national_hospital_care_survey_d__q3t8_zr7t

• Dataset ID: q3t8-zr7t

• Category: National Center for Health Statistics

• Tags: covid-19, emergency department, hospital encounters, inpatient, intubation, mortality, respiratory illness, screenings, ventilator use

• Source Data: https://data.cdc.gov/d/q3t8-zr7t

Death rates for suicide, by sex, race, Hispanic origin, and age: United States

• Description: Data on death rates for suicide, 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 Vital Statistics System (NVSS); Grove RD, Hetzel AM. Vital statistics rates in the United States, 1940–1960. National Center for Health Statistics. 1968; numerator data from NVSS annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics. 2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

• Schema: dwv_nchs_stats

• Table Name: death_rates_suicide_sex_race_hispanic_o__9j2v_jamp

• Dataset ID: 9j2v-jamp

• Category: National Center for Health Statistics

• Tags: african americans, age, alaskan natives, american natives, asian continental ancestry group, continental population groups, death, deaths, european continental ancestry group, health us, hispanic americans, injury, mental health, mortality, sex, suicide

• Source Data: https://data.cdc.gov/d/9j2v-jamp

Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States

• Description: Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost 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, Family Core, Sample Child, and 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.

• Schema: dwv_nchs_stats

• Table Name: delay_nonreceipt_needed_medical_care_co__dmzy_x2ad

• Dataset ID: dmzy-x2ad

• Category: National Center for Health Statistics

• Tags: alaskan natives, american natives, african americans, dental care, hispanic americans, health insurance, medicaid, poverty, schools, sex, medically uninsured, european continental ancestry group, asian continental ancestry group, oceanic ancestry group, continental population groups, prescription drugs, prescriptions, age, health us, sdoh-poverty-income, sdoh-access-to-health-care, sdoh-high-school, sdoh-higher-eduaction

• Source Data: https://data.cdc.gov/d/dmzy-x2ad

DEV DQS NHANES Select Oral Health Prevalence Estimates

• Description: These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES). 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.

• Schema: dwv_nchs_stats

• Table Name: dev_dqs_nhanes_oral_health_estimates__36ue_xht5

• Dataset ID: 36ue-xht5

• Category: National Center for Health Statistics

• Tags: diet, dqs, health status and determinants, nhanes, healthcare access and utilization

• Source Data: https://data.cdc.gov/d/36ue-xht5

DEV DQS NHANES Select Chronic Conditions Prevalence Estimates

• Description: These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES). This version of the dataset is specific for use by the NCHS DQS. 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.

• Schema: dwv_nchs_stats

• Table Name: dev_dqs_nhanes_select_chronic_condition__pket_re4s

• Dataset ID: pket-re4s

• Category: National Center for Health Statistics

• Tags: dqs, nhanes, chronic conditions, health status and determinants

• Source Data: https://data.cdc.gov/d/pket-re4s

DEV DQS NHANES Select Infectious Diseases Prevalence Estimates

• Description: These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES). This version of the NHANES dataset is specific to visualization within the NCHS DQS. 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.

• Schema: dwv_nchs_stats

• Table Name: dev_dqs_nhanes_select_infectious_diseas__v7tk_n6v3

• Dataset ID: v7tk-n6v3

• Category: National Center for Health Statistics

• Tags: health status and determinants, nhanes, dqs

• Source Data: https://data.cdc.gov/d/v7tk-n6v3

DEV DQS NHANES Select Mean Dietary Intake Estimates

• Description: These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES). 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.

• Schema: dwv_nchs_stats

• Table Name: dev_dqs_nhanes_select_mean_dietary_inta__8ekv_ep3s

• Dataset ID: 8ekv-ep3s

• Category: National Center for Health Statistics

• Tags: nhanes, dqs, health status and determinants

• Source Data: https://data.cdc.gov/d/8ekv-ep3s

DEV DQS NHIS Adult Summary Health Statistics

• Description: Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the 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.

• Schema: dwv_nchs_stats

• Table Name: dev_dqs_nhis_adult_summary_stats__6gct_yv67

• Dataset ID: 6gct-yv67

• Category: National Center for Health Statistics

• Tags: sdoh-high-school, sdoh-poverty-income, sdoh-access-to-health-care, sdoh-employment, sdoh-food-access, nhis, health status and determinants, sdoh-food-insecurity, healthcare expenditures and payers, healthcare access and utilization, sdoh-use-of-health-care, sdoh-workplace, summary health statistics, sdoh-source-of-health-care, sdoh-higher-education, sdoh-housing-stability

• Source Data: https://data.cdc.gov/d/6gct-yv67

DEV DQS NHIS Children Summary Statistics

• Description: Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the 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.

• Schema: dwv_nchs_stats

• Table Name: dev_dqs_nhis_children_summary_stats__35bp_whkw

• Dataset ID: 35bp-whkw

• Category: National Center for Health Statistics

• Tags: sdoh-higher-education, sdoh-housing-stability, sdoh-high-school, sdoh-food-insecurity, sdoh-poverty-income, sdoh-food-access, healthcare expenditures and payers, health status and determinants, nhis, sdoh-access-to-health-care, summary health statistics, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-workplace, sdoh-employment, healthcare access and utilization

• Source Data: https://data.cdc.gov/d/35bp-whkw

DEV DQS Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

• Description: Data on obesity among children and adolescents aged 2-19 years in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination 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.

• Schema: dwv_nchs_stats

• Table Name: dev_dqs_obesity_children_adolescents_se__uzn2_cq9f

• Dataset ID: uzn2-cq9f

• Category: National Center for Health Statistics

• Tags: white, poverty, overweight, obesity, mexican, hispanic or latino, health us, health status and determinants, health risk factors, chronic conditions, children and adolescents, body weight, body mass index, black or african american

• Source Data: https://data.cdc.gov/d/uzn2-cq9f

DQS Cholesterol in adults age 20 and older, by selected characteristics: United States

• Description: Data on cholesterol in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_cholesterol_adults_20_older_us__k2e8_8t3h

• Dataset ID: k2e8-8t3h

• Category: National Center for Health Statistics

• Tags: cholesterol, chronic conditions, female, health us, high cholesterol, hispanic, hypercholesterolemia, male, mean serum total cholesterol, mexican, national health and nutrition examination survey, nhanes, non-hispanic asian, non-hispanic black, non-hispanic white, poverty level, sdoh-access-to-health-care, sdoh-poverty-income, sdoh-use-of-health-care, total cholesterol

• Source Data: https://data.cdc.gov/d/k2e8-8t3h

DQS Death rates for malignant neoplasms, by sex, race, Hispanic origin, and age: United States

• Description: Data on death rates for neoplasms in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_death_rates_malignant_neoplasms_sex__4giy_47wy

• Dataset ID: 4giy-47wy

• Category: National Center for Health Statistics

• Tags: american indian or alaska native, asian, black or african american, cancer, death rates, health us, hispanic or latino, men, mortality, native hawaiian or other pacific islander, neoplasms, white, women

• Source Data: https://data.cdc.gov/d/4giy-47wy

DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER

• Description: Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 150 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

• Schema: dwv_nchs_stats

• Table Name: dqs_death_rates_suicide_sex_race_hispan__p7se_k3ix

• Dataset ID: p7se-k3ix

• Category: National Center for Health Statistics

• Tags: american indian or alaska native, asian, black or african american, death rates, health us, hispanic or latino, men, mental health, native hawaiian or other pacific islander, suicide, white, women

• Source Data: https://data.cdc.gov/d/p7se-k3ix

DQS Delay or nonreceipt of needed medical care, prescription drugs, or dental care during the past 12 months due to cost: United States(Archived)

• Description: This topic is no longer available in the NCHS Data Query System (DQS). Data on delay or nonreceipt of needed medical care, nonreceipt of needed prescription drugs, or nonreceipt of needed dental care during the past 12 months due to cost, 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_delay_needed_care_cost_us_archive__p4r5_qsgs

• Dataset ID: p4r5-qsgs

• Category: National Center for Health Statistics

• Tags: adults, american indian or alaska native, asian, black or african american, children and adolescents, dental care, education, female, functional limitation status, health insurance, heath care access, hispanic or latino, male, metropolitan and nonmetropolitan, mexican, multiple race, native hawaiian or other pacific islander, older adults, poverty, prescription drugs, region, rural population, urban population, white

• Source Data: https://data.cdc.gov/d/p4r5-qsgs

DQS Dentists, by state: United States.

• Description: Data on active dentists in the United States by state. Data are from Health, United States. SOURCE: American Dental Association, Health Policy Institute. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_dentists_state_us__9epi_jrff

• Dataset ID: 9epi-jrff

• Category: National Center for Health Statistics

• Tags: american dental association, dentists, health us, sdoh-access-to-health-care, united states

• Source Data: https://data.cdc.gov/d/9epi-jrff

DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER

• Description: Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_drug_overdose_death_rates_cdc_wonde__dh32_cnpq

• Dataset ID: dh32-cnpq

• Category: National Center for Health Statistics

• Tags: american indian or alaska native, asian, black or african american, death rates, drug overdose, health us, hispanic or latino, men, native hawaiian or other pacific islander, opioid, white, women

• Source Data: https://data.cdc.gov/d/dh32-cnpq

DQS Estimate of Emergency Department Visits in the United States, 2016-2022

• Description: These data include counts and rates of emergency department visits from 2016-2022 for selected primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_estimate_ed_visits_us_2016_2022__k6sd_3kb8

• Dataset ID: k6sd-3kb8

• Category: National Center for Health Statistics

• Tags: diagnosis, emergency department, patient characteristics, reason for visit, visit characteristics

• Source Data: https://data.cdc.gov/d/k6sd-3kb8

DQS Estimate of Emergency Department Visits in the United States Footnotes

• Description: List of footnotes, notes, and source information for The National Hospital Ambulatory Medical Care Survey (NHAMCS). Each row of this dataset contains the accompanying text for a footnote found in NHAMCS dataset. The footnote lookup can be merged onto any NHAMCS dataset using, DATASET_SHORT_NAME, FN_ID, FN_TYPE, and FN_TEXT. SOURCE: National Center for Health Statistics CDC, The National Hospital Ambulatory Medical Care Survey (NHAMCS)

• Schema: dwv_nchs_stats

• Table Name: dqs_estimate_ed_visits_us_footnotes_xpl__6vwk_ensg

• Dataset ID: 6vwk-ensg

• Category: National Center for Health Statistics

• Tags: diagnosis, emergency department, patient characteristics, reason for visit, visit characteristics

• Source Data: https://data.cdc.gov/d/6vwk-ensg

DQS Fetal, late fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother United States

• Description: Data on fetal, late fetal, and perinatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Fetal Death Data Set. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_fetal_mortality_rates_race_hispanic__vac9_j9wr

• Dataset ID: vac9-j9wr

• Category: National Center for Health Statistics

• Tags: american indian and alaskan native, asian, asian or pacific islander, black, bridged race, fetal death data set, fetal deaths, fetal mortality, health us, late fetal deaths, late fetal mortality, national vital statistics system, native hawaiian or pacific islander, non-hispanic, nvss, perinatal deaths, perinatal mortality, race and hispanic origin of mother, single race, white

• Source Data: https://data.cdc.gov/d/vac9-j9wr

DQS Functional difficulties in adults age 18 and older, by selected characteristics: United States

• Description: Data on functional limitation (or functional difficulties) in adults age 18 and older in the United States, by selected characteristics. Data are 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_functional_difficulties_adults_18_p__bjpq_vm2t

• Dataset ID: bjpq-vm2t

• Category: National Center for Health Statistics

• Tags: american indian and alaska native only, asian only, black non-hispanic, black only, domains of functioning, female, functional limitation, health us, hispanic, male, metropolitan statistical area, national health interview survey, native hawaiian or pacific islander only, nhis, poverty level, rural, sdoh-poverty-income, sdoh-social-emotional, urban, white non-hispanic, white only

• Source Data: https://data.cdc.gov/d/bjpq-vm2t

DQS Health care employment and wages, by selected occupations: United States

• Description: Data on health care employment and wages in the United States, by selected occupations. Data are from Health, United States. Source: U.S. Department of Labor, Bureau of Labor Statistics, Occupational Employment and Wage Statistics. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_healthcare_employment_wages_selecte__q9cb_be9u

• Dataset ID: q9cb-be9u

• Category: National Center for Health Statistics

• Tags: bureau of labor statistics, health care employment, health care practitioners, health care practitioners and technical occupations, health care support occupations, health care wages, health us, hourly wages, industry, mean hourly wages, occupational employment and wage statistics, sdoh-occupation-type, sdoh-source-of-health-care, sdoh-wages, us department of labor

• Source Data: https://data.cdc.gov/d/q9cb-be9u

DQS Hypertension in adults age 20 and older, by selected characteristics: United States.

• Description: Data on hypertension in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_hypertension_adults_20_older_us_sel__c49c_tp7w

• Dataset ID: c49c-tp7w

• Category: National Center for Health Statistics

• Tags: chronic conditions, female, health us, high blood pressure, hispanic, hypertension, male, mexican, national health and nutrition examination survey, nhanes, non-hispanic asian, non-hispanic black, non-hispanic white, poverty level, sdoh-access-to-health-care, sdoh-poverty-income, sdoh-use-of-health-care

• Source Data: https://data.cdc.gov/d/c49c-tp7w

DEV DQS Hypertension in adults age 20 and older, by selected characteristics: United States.

• Description: Data on hypertension in adults age 20 and older in the United States, by selected characteristics. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_hypertension_adults_20_us_xplanatio__va5e_efw9

• Dataset ID: va5e-efw9

• Category: National Center for Health Statistics

• Tags: non-hispanic white, female, non-hispanic black, non-hispanic asian, chronic conditions, hypertension, sdoh-use-of-health-care, hispanic, nhanes, national health and nutrition examination survey, mexican, high blood pressure, health us, health status and determinants, sdoh-poverty-income, male, sdoh-access-to-health-care, poverty level

• Source Data: https://data.cdc.gov/d/va5e-efw9

DQS Infant mortality rates, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas (Archived)

• Description: This topic is no longer available in the NCHS Data Query System (DQS). Search, visualize, and download other estimates from over 120 health topics with DQS, available from: https://www.cdc.gov/nchs/dataquery/index.htm. Data on on average annual infant mortality rates in the United States and U.S. dependent areas, by race and Hispanic origin of mother, state, and territory. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set.

• Schema: dwv_nchs_stats

• Table Name: dqs_infant_mortality_rates_race_hispani__pjb2_jvdr

• Dataset ID: pjb2-jvdr

• Category: National Center for Health Statistics

• Tags: american indian or alaska native, asian or pacific islander, black or african american, child and adolescent, deaths, health us, hispanic or latino, infant mortality, state, white

• Source Data: https://data.cdc.gov/d/pjb2-jvdr

DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States

• Description: Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_infant_neonatal_postneonatal_mortal__m7w3_utaq

• Dataset ID: m7w3-utaq

• Category: National Center for Health Statistics

• Tags: american indian and alaska native, asian, asian or pacific islander, black, bridged race, central and south american, cuban, health us, hispanic, infant deaths, infant mortality, linked birth infant death data set, mexican, mortality rates, national vital statistics system, native hawaiian or pacific islander, neonatal deaths, neonatal mortality, non-hispanic, nvss, postneonatal deaths, postneonatal mortality, puerto rican, race and hispanic origin of mother, single race, white

• Source Data: https://data.cdc.gov/d/m7w3-utaq

DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States (Archived)

• Description: This topic is no longer available in the NCHS Data Query System (DQS). Data on initial injury-related visits to hospital emergency departments in the United States, by sex, age, and intent and mechanism of injury. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Hospital Ambulatory Medical Care 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_initial_injury_visits_hospital_emer__a92y_5zud

• Dataset ID: a92y-5zud

• Category: National Center for Health Statistics

• Tags: men, older persons, traffic, women, wounds and injuries, accidental falls, accidents, children and adolescents, emergency department visits, healthcare access and utilization, health care use, health us, injury

• Source Data: https://data.cdc.gov/d/a92y-5zud

DQS Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States

• Description: Data on initial injury-related visits to hospital emergency departments in the United States, by sex, age, and intent and mechanism of injury. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Hospital Ambulatory Medical Care 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_initial_injury_visits_hospital_emer__qdzf_zqgy

• Dataset ID: qdzf-zqgy

• Category: National Center for Health Statistics

• Tags: accidental falls, accidents, children and adolescents, emergency department visits, health care use, health us, injury, men, older persons, traffic, women, wounds and injuries

• Source Data: https://data.cdc.gov/d/qdzf-zqgy

DQS Low birthweight live births, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas

• Description: Data on Low birthweight live births, by race and Hispanic origin of mother, state, and territory in the United States and U.S. dependent areas. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Birth File. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_low_birthweight_live_births_race_hi__dj4t_wmry

• Dataset ID: dj4t-wmry

• Category: National Center for Health Statistics

• Tags: births, health risk factors, american indian or alaska native, asian or pacific islander, black or african american, child and adolescent, hispanic or latino, state, white, health us

• Source Data: https://data.cdc.gov/d/dj4t-wmry

DEV DQS Low birthweight live births, by race and Hispanic origin of mother, state, and territory: United States and U.S. dependent areas

• Description: Data on Low birthweight live births, by race and Hispanic origin of mother, state, and territory in the United States and U.S. dependent areas. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Birth File. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_low_birthweight_live_births_race_hi__rg3t_4dpf

• Dataset ID: rg3t-4dpf

• Category: National Center for Health Statistics

• Tags: births, white, black or african american, children and adolescents, asian or pacific islander, state, hispanic or latino, health us, health status and determinants, health risk factors, american indian or alaska native

• Source Data: https://data.cdc.gov/d/rg3t-4dpf

DQS Medicaid coverage among persons under age 65, by selected characteristics: United States (Archived)

• Description: This topic is no longer available in the NCHS Data Query System (DQS). 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_medicaid_coverage_under65_us_archiv__hdja_ybdg

• Dataset ID: hdja-ybdg

• Category: National Center for Health Statistics

• Tags: adults, american indian or alaska native, asian, black or african american, children and adolescents, education, female, functional limitation status, health insurance, hispanic or latino, male, medicaid, metropolitan and nonmetropolitan, mexican, multiple race, native hawaiian or other pacific islander, poverty, region, rural population, urban population, white

• Source Data: https://data.cdc.gov/d/hdja-ybdg

DQS NHANES Select Chronic Conditions Prevalence Estimates

• Description: These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES). This version of the dataset is specific for use by the NCHS DQS. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhanes_chronic_conditions_prevalenc__mvup_dmxz

• Dataset ID: mvup-dmxz

• Category: National Center for Health Statistics

• Tags: chronic conditions, dqs, nhanes

• Source Data: https://data.cdc.gov/d/mvup-dmxz

DQS NHANES Footnotes

• Description: List of footnotes, notes, and source information for NHANES Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHANES Datasets.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhanes_footnotes_xplanation_is_conv__iqm3_hbev

• Dataset ID: iqm3-hbev

• Category: National Center for Health Statistics

• Source Data: https://data.cdc.gov/d/iqm3-hbev

DQS NHANES Select Oral Health Prevalence Estimates

• Description: These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES). 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhanes_oral_health_prevalence_estim__59vz_u8kg

• Dataset ID: 59vz-u8kg

• Category: National Center for Health Statistics

• Tags: diet, dqs, nhanes

• Source Data: https://data.cdc.gov/d/59vz-u8kg

DQS NHANES Select Infectious Diseases Prevalence Estimates

• Description: These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES). This version of the NHANES dataset is specific to visualization within the NCHS DQS. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhanes_select_infectious_diseases_p__be3w_4inw

• Dataset ID: be3w-4inw

• Category: National Center for Health Statistics

• Tags: nhanes, dqs

• Source Data: https://data.cdc.gov/d/be3w-4inw

DQS NHANES Select Mean Dietary Intake Estimates

• Description: These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES). 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhanes_select_mean_dietary_intake_e__xcc8_2jrh

• Dataset ID: xcc8-2jrh

• Category: National Center for Health Statistics

• Source Data: https://data.cdc.gov/d/xcc8-2jrh

DQS NHIS Adult Summary Statistics Footnotes

• Description: List of footnotes, notes, and source information for NHIS Adult Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Adults Summary Statistics Dataset.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhis_adult_summary_stats_footnotes___gpsd_ru5i

• Dataset ID: gpsd-ru5i

• Category: National Center for Health Statistics

• Tags: sdoh-higher-education, summary health statistics, sdoh-workplace, sdoh-use-of-health-care, sdoh-source-of-health-care, sdoh-poverty-income, sdoh-housing-stability, sdoh-food-insecurity, sdoh-food-access, sdoh-employment, sdoh-access-to-health-care, nhis

• Source Data: https://data.cdc.gov/d/gpsd-ru5i

DQS NHIS Adult Summary Health Statistics

• Description: Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhis_adult_summary_stats__pg2r_sfcx

• Dataset ID: pg2r-sfcx

• Category: National Center for Health Statistics

• Tags: nhis, sdoh-access-to-health-care, sdoh-employment, sdoh-food-access, sdoh-food-insecurity, sdoh-higher-education, sdoh-high-school, sdoh-housing-stability, sdoh-poverty-income, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-workplace, summary health statistics

• Source Data: https://data.cdc.gov/d/pg2r-sfcx

DQS NHIS Children Summary Statistics Footnotes

• Description: List of footnotes, notes, and source information for NHIS Child Summary Statistics. Each row of this dataset contains the accompanying text for a footnote found in the NHIS Child Summary Statistics Dataset.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhis_children_summary_stats_footnot__48ev_2ygq

• Dataset ID: 48ev-2ygq

• Category: National Center for Health Statistics

• Tags: nhis, sdoh-access-to-health-care, sdoh-employment, sdoh-food-access, sdoh-food-insecurity, sdoh-higher-education, sdoh-high-school, sdoh-housing-stability, sdoh-poverty-income, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-workplace, summary health statistics

• Source Data: https://data.cdc.gov/d/48ev-2ygq

DQS NHIS Children Summary Statistics

• Description: Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_nhis_children_summary_stats__b5qi_b3hv

• Dataset ID: b5qi-b3hv

• Category: National Center for Health Statistics

• Tags: nhis, sdoh-access-to-health-care, sdoh-employment, sdoh-food-access, sdoh-food-insecurity, sdoh-higher-education, sdoh-high-school, sdoh-housing-stability, sdoh-poverty-income, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-workplace, summary health statistics

• Source Data: https://data.cdc.gov/d/b5qi-b3hv

DQS Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States

• Description: Data on overweight and obesity among adults aged 20 and over in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_normal_weight_overweight_obesity_ad__sqt4_6a3k

• Dataset ID: sqt4-6a3k

• Category: National Center for Health Statistics

• Tags: adults, black or african american, body mass index, body weight, chronic conditions, health risk factors, health us, hispanic or latino, men, mexican, obesity, older persons, overweight, poverty, white, women

• Source Data: https://data.cdc.gov/d/sqt4-6a3k

DQS Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

• Description: Data on obesity among children and adolescents aged 2-19 years in the United States, by selected characteristics, including sex, age, race, Hispanic origin, and poverty level. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_obesity_children_adolescents_us_xpl__w9cp_q6sg

• Dataset ID: w9cp-q6sg

• Category: National Center for Health Statistics

• Tags: black or african american, body mass index, body weight, children and adolescents, chronic conditions, health risk factors, health us, hispanic or latino, mexican, obesity, overweight, poverty, white

• Source Data: https://data.cdc.gov/d/w9cp-q6sg

DQS Prescription drug use in the past 30 days, by sex, race and Hispanic origin, and age group: United States

• Description: Data on prescription drug use in the past 30 days in the United States, by sex, race and Hispanic origin, and age group. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_pd_use_past30d_sex_race_hispanic_ag__b666_c5v5

• Dataset ID: b666-c5v5

• Category: National Center for Health Statistics

• Tags: female, health care use, health us, hispanic, male, mexican, national health and nutrition examination survey, non-hispanic asian, non-hispanic white, prescription drugs, prescriptions, sdoh-use-of-health-care

• Source Data: https://data.cdc.gov/d/b666-c5v5

DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States

• Description: Data on use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders in the United States, by sex and race. Data are from Health, United States. Source: Monitoring the Future, Institute for Social Research, University of Michigan, supported by National Institutes of Health, National Institute on Drug Abuse. 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_substance_use_past30days_grader_sex__4kn2_jirk

• Dataset ID: 4kn2-jirk

• Category: National Center for Health Statistics

• Tags: 10th grade, 12th grade, 8th grade, alcohol, binge drinking, black, cigarettes, cocaine, drug use, drug use among students, e-cigarette use, ecstacy, female, health us, inhalants, male, marijuana, marijuana vaping, mdma, molly, monitoring the future, national institute on drug abuse, nicotine vaping, sdoh-high-school, smoking, students, substance use, substance use among students, tobacco use, vaping, white

• Source Data: https://data.cdc.gov/d/4kn2-jirk

DQS Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States

• Description: Data on visits to physician offices and hospital emergency departments in the United States, by age, sex, and race. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care 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.

• Schema: dwv_nchs_stats

• Table Name: dqs_visits_to_physician_offices_hospita__xmjk_wh9b

• Dataset ID: xmjk-wh9b

• Category: National Center for Health Statistics

• Tags: ambulatory care, black or african american, child and adolescent, emergency department visits, emergency service, health care use, health us, hospital use, men, office visits, older persons, physician office visits, physicians, white, women

• Source Data: https://data.cdc.gov/d/xmjk-wh9b

DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER

• Description: Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. 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.

• Schema: dwv_nchs_stats

• Table Name: dq_death_rates_heart_disease_sex_race_h__4892_xxjy

• Dataset ID: 4892-xxjy

• Category: National Center for Health Statistics

• Tags: american indian or alaska native, asian, black or african american, death rates, health us, heart disease, hispanic or latino, men, mortality, native hawaiian or other pacific islander, white, women

• Source Data: https://data.cdc.gov/d/4892-xxjy

Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States

• Description: Data on drug overdose death rates, by drug type and 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 Vital Statistics System, numerator data from annual public-use Mortality Files; denominator data from U.S. Census Bureau national population estimates; and Murphy SL, Xu JQ, Kochanek KD, Arias E, Tejada-Vera B. Deaths: Final data for 2018. National Vital Statistics Reports; vol 69 no 13. Hyattsville, MD: National Center for Health Statistics.2021. Available from: https://www.cdc.gov/nchs/products/nvsr.htm. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

• Schema: dwv_nchs_stats

• Table Name: drug_overdose_death_rates_by_type_sex_a__95ax_ymtc

• Dataset ID: 95ax-ymtc

• Category: National Center for Health Statistics

• Tags: african americans, age, alaskan natives, american natives, analgesics, asian continental ancestry group, continental population groups, death, drug overdose, european continental ancestry group, health us, heroin, hispanic americans, injury, methadone, mortality, opioid, sex

• Source Data: https://data.cdc.gov/d/95ax-ymtc

Drug Use Data from Selected Hospitals

• Description: The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). From this collection, the NHCS contributes data that may inform emerging national health threats such as the current opioid public health emergency. The 2023 - 2024 NHCS are not yet fully operational so it is important to note that the data presented here are preliminary and not nationally representative. The data are from 47 hospitals submitting inpatient and 39 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from January 1, 2023–December 31, 2024. Even though the data are not nationally representative, they can provide insight into the use of opioids and other overdose drugs. The NHCS data is submitted from various types of hospitals (e.g., general/acute, children’s, etc.) and can show results from a variety of indicators related to drug use, such as overall drug use, comorbidities, and drug and polydrug overdose. NHCS data can also be used to report on patient conditions within the hospital over time.

• Schema: dwv_nchs_stats

• Table Name: drug_use_data_from_hospitals__gypc_kpgn

• Dataset ID: gypc-kpgn

• Category: National Center for Health Statistics

• Tags: amphetamine, bed size, benzodiazepines, cdc, classification, cocaine, covid-19, drug overdose, electronic health records, emergency, emergency departments, federal hospitals, fentanyl, health care delivery, heroin, hospitalization, hospitals, icd-10-cm, inpatient, mental health, methadone, methylphenidate, opioid overdose, opioids, opium, patient care, substance use, tramadol

• Source Data: https://data.cdc.gov/d/gypc-kpgn

Early Model-based Provisional Estimates of Drug Overdose, Suicide, and Transportation-related Deaths

• Description: This dataset provides model-based provisional estimates of the weekly numbers of drug overdose, suicide, and transportation-related deaths using “nowcasting” methods to account for the normal lag between the occurrence and reporting of these deaths. Estimates less than 10 are suppressed. These early model-based provisional estimates were generated using a multi-stage hierarchical Bayesian modeling process to generate smoothed estimates of the weekly numbers of death, accounting for reporting lags. These estimates are based on several assumptions about how the reporting lags have changed in recent months across different jurisdictions, and the resulting estimates differ from other sources of provisional mortality data. For now, these estimates should be considered highly uncertain until further evaluations can be done to determine the validity of these assumptions about timeliness. The true patterns in reporting lags will not be known until data are finalized, typically 11–12 months after the end of the calendar year. Importantly, these estimates are not a replacement for monthly provisional drug overdose death counts, or quarterly provisional mortality estimates. For more detail about the nowcasting methods and models, see: Rossen LM, Hedegaard H, Warner M, Ahmad FB, Sutton PD. Early provisional estimates of drug overdose, suicide, and transportation-related deaths: Nowcasting methods to account for reporting lags. Vital Statistics Rapid Release; no 11. Hyattsville, MD: National Center for Health Statistics. February 2021. DOI: https://doi.org/10.15620/ cdc:101132

• Schema: dwv_nchs_stats

• Table Name: early_model_based_provisional_estimates__v2g4_wqg2

• Dataset ID: v2g4-wqg2

• Category: National Center for Health Statistics

• Tags: deaths, drug overdose, mortality, nchs, nowcasting, nvss, provisional, state, suicide, transport accidents, united states, vsrr, weekly

• Source Data: https://data.cdc.gov/d/v2g4-wqg2

Estimates of Emergency Department Visits in the United States from 2016-2022

• Description: The National Hospital Ambulatory Medical Care Survey (NHAMCS), conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to emergency departments to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from nonfederal, general, and short-stay hospitals from all 50 U.S. states and the District of Columbia, and are used to develop nationally representative estimates. The data include counts and rates of emergency department visits from 2016-2022 for the 10 leading primary diagnoses and reasons for visit, stratified by selected patient and hospital characteristics. Rankings for the 10 leading categories were identified using weighted data from 2022 and were then assessed in prior years.

• Schema: dwv_nchs_stats

• Table Name: estimates_ed_visits_us_2016_2022__ycxr_emue

• Dataset ID: ycxr-emue

• Category: National Center for Health Statistics

• Tags: emergency department, national hospital ambulatory medical care survey, primary diagnosis, reason for visit

• Source Data: https://data.cdc.gov/d/ycxr-emue

Excess Deaths Associated with COVID-19

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Estimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected. Estimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this webpage were calculated using Farrington surveillance algorithms (1). For each jurisdiction, a model is used to generate a set of expected counts, and the upper bound of the 95% Confidence Intervals (95% CI) of these expected counts is used as a threshold to estimate excess deaths. Observed counts are compared to these upper bound estimates to determine whether a significant increase in deaths has occurred. Provisional counts are weighted to account for potential underreporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Only about 60% of deaths are reported within 10 days of the date of death, and there is considerable variation by jurisdiction. More detail about the methods, weighting, data, and limitations can be found in the Technical Notes.

• Schema: dwv_nchs_stats

• Table Name: excess_deaths_covid19__xkkf_xrst

• Dataset ID: xkkf-xrst

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, covid-19, deaths, excess deaths, mortality, nchs, nvss, provisional, puerto rico, state, united states, weekly

• Source Data: https://data.cdc.gov/d/xkkf-xrst

Healthy People 2020 Final Progress by Population Group Chart and Table

• Description: [1] The Progress by Population Group analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included subsets of the 1,111 measurable HP2020 objectives that have data available for any of six broad population characteristics: sex, race and ethnicity, educational attainment, family income, disability status, and geographic location. Progress toward meeting HP2020 targets is presented for up to 24 population groups within these characteristics, based on objective data aggregated across HP2020 topic areas. The Progress by Population Group data are also available at the individual objective level in the downloadable data set. [2] The final value was generally based on data available on the HP2020 website as of January 2020. For objectives that are continuing into HP2030, more recent data will be included on the HP2030 website as it becomes available: https://health.gov/healthypeople. [3] For more information on the HP2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/statnt/statnt27.pdf. [4] Status for objectives included in the HP2020 Progress by Population Group analysis was determined using the baseline, final, and target value. The progress status categories used in HP2020 were: a. Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target (the percentage of targeted change achieved was equal to or greater than 100%); (ii) The baseline and most recent values were equal to or exceeded the target (the percentage of targeted change achieved was not assessed). b. Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change. c. Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point. d. Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline. NOTE: Measurable objectives had baseline data. SOURCE: National Center for Health Statistics, Healthy People 2020 Progress by Population Group database.

• Schema: dwv_nchs_stats

• Table Name: healthy_people_2020_final_progress_popu__3q3z_9ucr

• Dataset ID: 3q3z-9ucr

• Category: National Center for Health Statistics

• Tags: healthy people 2020, sdoh-poverty-income, sdoh-employment, sdoh-food-insecurity, sdoh-housing-stability, sdoh-high-school, sdoh-higher-education, sdoh-literacy, sdoh-early-childhood, sdoh-access-to-health-care, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-health-literacy, sdoh-food-access, sdoh-housing-quality, sdoh-crime-violence, sdoh-environmental, sdoh-workplace, sdoh-transportation, sdoh-social-emotional, sdoh-civic-participation, sdoh-discrimination, sdoh-racism, sdoh-incarceration, sdoh-language

• Source Data: https://data.cdc.gov/d/3q3z-9ucr

Healthy People 2020 Final Progress Table

• Description: [1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were: 1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.) 2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change. 3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point. 4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline. 5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only. 6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed. [2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople. [3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline): Percentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100 [4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline: Magnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100 [5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test. [6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta

• Schema: dwv_nchs_stats

• Table Name: healthy_people_2020_final_progress_tabl__x749_vh2i

• Dataset ID: x749-vh2i

• Category: National Center for Health Statistics

• Tags: healthy people 2020, sdoh-access-to-health-care, sdoh-civic-participation, sdoh-crime-violence, sdoh-discrimination, sdoh-early-childhood, sdoh-employment, sdoh-environmental, sdoh-food-access, sdoh-food-insecurity, sdoh-health-literacy, sdoh-higher-education, sdoh-high-school, sdoh-housing-quality, sdoh-housing-stability, sdoh-incarceration, sdoh-language, sdoh-literacy, sdoh-poverty-income, sdoh-racism, sdoh-social-emotional, sdoh-source-of-health-care, sdoh-transportation, sdoh-use-of-health-care, sdoh-workplace

• Source Data: https://data.cdc.gov/d/x749-vh2i

Healthy People 2020 Foundation Health Measures

• Description: The Foundation Health Measures component of the Healthy People 2020 (HP2020) Final Review includes data on 14 global summary measures used to monitor improvement in population health. See Technical Notes of the Foundation Health Measures in the HP2020 Final Review for additional information on the definition and construction of these measures included.

• Schema: dwv_nchs_stats

• Table Name: healthy_people_2020_foundation_health_m__f3a8_hmpp

• Dataset ID: f3a8-hmpp

• Category: National Center for Health Statistics

• Tags: healthy people 2020, sdoh-access-to-health-care

• Source Data: https://data.cdc.gov/d/f3a8-hmpp

Healthy People 2020 Overview of Health Disparities

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: healthy_people_2020_health_disparities___fdpm_fddm

• Dataset ID: fdpm-fddm

• Category: National Center for Health Statistics

• Tags: health disparities, healthy people 2020, sdoh-access-to-health-care, sdoh-civic-participation, sdoh-crime-violence, sdoh-discrimination, sdoh-early-childhood, sdoh-employment, sdoh-environmental, sdoh-food-access, sdoh-food-insecurity, sdoh-health-literacy, sdoh-higher-education, sdoh-high-school, sdoh-housing-quality, sdoh-housing-stability, sdoh-incarceration, sdoh-language, sdoh-literacy, sdoh-poverty-income, sdoh-racism, sdoh-social-emotional, sdoh-source-of-health-care, sdoh-transportation, sdoh-use-of-health-care, sdoh-workplace

• Source Data: https://data.cdc.gov/d/fdpm-fddm

Health conditions among children under age 18, by selected characteristics: United States

• Description: NOTE: On October 19, 2021, estimates for 2016–2018 by health insurance status were revised to correct errors. Changes are highlighted and tagged at https://www.cdc.gov/nchs/data/hus/2019/012-508.pdf Data on health conditions among children under age 18, 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, Family Core and Sample Child 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.

• Schema: dwv_nchs_stats

• Table Name: health_conditions_children_under18_his___2m93_xvra

• Dataset ID: 2m93-xvra

• Category: National Center for Health Statistics

• Tags: african americans, age, alaskan natives, allergy, american natives, asian continental ancestry group, asthma, attention deficit/hyperactivity disorder, child, continental population groups, ear diseases, ear infection, emotional or behavioral difficulties, european continental ancestry group, food, health, health us, hispanic americans, hypersensitivity, insurance, medicaid, medically uninsured, mental health, oceanic ancestry group, poverty, respiratory tract diseases, sdoh-access-to-health-care, sdoh-poverty-income, sex, skin

• Source Data: https://data.cdc.gov/d/2m93-xvra

Indicators of Health Insurance Coverage at the Time of Interview

• Description: The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

• Schema: dwv_nchs_stats

• Table Name: health_insurance_coverage_at_interview__jb9g_gnvr

• Dataset ID: jb9g-gnvr

• Category: National Center for Health Statistics

• Tags: covid-19, private coverage, public coverage, sdoh-access-to-health-care, uninsured

• Source Data: https://data.cdc.gov/d/jb9g-gnvr

HUS_Footnote_Look_Up_ASTHCH

• Description: Footnotes for Health, US - Asthma in children younger than age 18, by selected characteristics: United States. Data on asthma in children younger than age 18 in the United States, by selected characteristics. Data are from Health, United States. Source: National Center for Health Statistics, National Health Interview Survey.

• Schema: dwv_nchs_stats

• Table Name: hus_footnote_lookuptable_asthch_xplanat__gjsp_ircr

• Dataset ID: gjsp-ircr

• Category: National Center for Health Statistics

• Source Data: https://data.cdc.gov/d/gjsp-ircr

Indicators of Reduced Access to Care Due to the Coronavirus Pandemic During Last 4 Weeks

• Description: The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

• Schema: dwv_nchs_stats

• Table Name: indicators_reduced_access_care_covid_pa__xb3p_q62w

• Dataset ID: xb3p-q62w

• Category: National Center for Health Statistics

• Tags: covid-19, delayed care, sdoh-access-to-health-care, unmet need

• Source Data: https://data.cdc.gov/d/xb3p-q62w

Infant, neonatal, postneonatal, fetal, and perinatal mortality rates, by detailed race and Hispanic origin of mother: United States

• Description: Data on infant, neonatal, postneonatal, fetal, and perinatal mortality rates by selected characteristics of the mother. 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 Vital Statistics System, public-use Linked Birth/Infant Death Data Set, public-use Fetal Death File, and public-use Birth File. For more information on the National Vital Statistics System, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

• Schema: dwv_nchs_stats

• Table Name: infant_neonatal_postneonatal_fetal_peri__nfuu_hu6j

• Dataset ID: nfuu-hu6j

• Category: National Center for Health Statistics

• Tags: african americans, alaskan natives, american natives, asian continental ancestry group, continental population groups, death, european continental ancestry group, fetal death, health us, hispanic americans, infant, infant death, live birth, mortality, mothers, oceanic ancestry group, pregnancy, pregnancy complications

• Source Data: https://data.cdc.gov/d/nfuu-hu6j

Initial injury-related visits to hospital emergency departments, by sex, age, and intent and mechanism of injury: United States

• Description: On December 20 2021, all estimates and standard errors for 2017–2018 were revised in this table to correct programming errors. 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.

• Schema: dwv_nchs_stats

• Table Name: initial_injury_visits_by_sex_age_intent__w4cs_jspc

• Dataset ID: w4cs-jspc

• Category: National Center for Health Statistics

• Tags: accidental falls, emergency service, hospital, hospitals, sex, wounds and injuries, age, disasters, health us, sdoh-use-of-health-care

• Source Data: https://data.cdc.gov/d/w4cs-jspc

Lack of Social Connection

• Description: In 2020, the National Center for Health Statistics (NCHS) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about how emergent issues are impacting American households. Beginning in Phase 4.0 (on January 9, 2024), questions on social support, loneliness, and social isolation were added to the survey. These questions have been included on other nationally representative surveys. Briefly, the question on social support was included on the National Health Interview Survey (NHIS) from July 2020-December 2021 and was added to the 2024 NHIS. The question on loneliness was added to the 2024 NHIS. The questions on social isolation are adapted from the Berkman-Syme Social Network Index and were included on an earlier cycle of the National Health and Nutrition Examination Survey. For more information, please visit: https://www.cdc.gov/nchs/covid19/pulse/lack-socialconnection.htm

• Schema: dwv_nchs_stats

• Table Name: lack_social_connection__mnaa_qctp

• Dataset ID: mnaa-qctp

• Category: National Center for Health Statistics

• Source Data: https://data.cdc.gov/d/mnaa-qctp

Long-term Care and COVID-19

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: long_term_care_covid19__3j26_kg6d

• Dataset ID: 3j26-kg6d

• Category: National Center for Health Statistics

• Tags: adult day services centers, covid-19, long-term care, residential care communities

• Source Data: https://data.cdc.gov/d/3j26-kg6d

Loss of Work Due to Illness from COVID-19

• Description: 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

• Schema: dwv_nchs_stats

• Table Name: loss_work_illness_covid19__qgkx_mswu

• Dataset ID: qgkx-mswu

• Category: National Center for Health Statistics

• Tags: covid-19, rands, sdoh-employment, sdoh-higher-education, sdoh-high-school, sdoh-workplace

• Source Data: https://data.cdc.gov/d/qgkx-mswu

Medicaid coverage among persons under age 65, by selected characteristics: United States

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: medicaid_coverage_under65_by_characteri__km5s_4339

• Dataset ID: km5s-4339

• Category: National Center for Health Statistics

• 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, sdoh-access-to-health-care, sdoh-poverty-income, sex

• Source Data: https://data.cdc.gov/d/km5s-4339

Mental Health Care in the Last 4 Weeks

• Description: The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions. Updated on 3/31/2025 to comply with the President’s Executive Order 14168.

• Schema: dwv_nchs_stats

• Table Name: mental_health_care_last_4_weeks__yni7_er2q

• Dataset ID: yni7-er2q

• Category: National Center for Health Statistics

• Tags: covid-19, mental health, sdoh-use-of-health-care

• Source Data: https://data.cdc.gov/d/yni7-er2q

Monthly Counts of Deaths by Select Causes, 2014-2019

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

• Schema: dwv_nchs_stats

• Table Name: monthly_cause_death_counts_2014_2019__bxq8_mugm

• Dataset ID: bxq8-mugm

• Category: National Center for Health Statistics

• 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

• Source Data: https://data.cdc.gov/d/bxq8-mugm

Monthly Provisional Counts of Deaths by Select Causes, 2020-2023

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Provisional counts of deaths by the month the death occurred and by select causes of death for 2020-2023.

• Schema: dwv_nchs_stats

• Table Name: monthly_provisional_deaths_counts_2020___9dzk_mvmi

• Dataset ID: 9dzk-mvmi

• Category: National Center for Health Statistics

• Tags: all causes, alzheimer disease, cancer, causes of death, cerebrovascular disease, chronic lower respiratory disease, coronavirus, covid-19, deaths, diabetes, diseases of heart, drug overdose, homicide, influenza, kidney disease, monthly, mortality, motor vehicle accidents, natural cause, nchs, nvss, pneumonia, provisional, respiratory disease, septicemia, suicide, unintentional injuries, united states

• Source Data: https://data.cdc.gov/d/9dzk-mvmi

NCHS - Age-adjusted Death Rates for Selected Major Causes of Death

• Description: This dataset of U.S. mortality trends since 1900 highlights trends in age-adjusted death rates for five selected major causes of 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). Revisions to the International Classification of Diseases (ICD) over time may result in discontinuities in cause-of-death trends. 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.

• Schema: dwv_nchs_stats

• Table Name: nchs_age_adjusted_death_rates_major_cau__6rkc_nb2q

• Dataset ID: 6rkc-nb2q

• Category: National Center for Health Statistics

• Tags: age-adjusted death rate, cause of death, mortality united states, nchs

• Source Data: https://data.cdc.gov/d/6rkc-nb2q

NCHS - Percent Distribution of Births for Females by Age Group: United States

• Description: This dataset includes percent distribution of births for females by age group in the United States since 1933. The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

• Schema: dwv_nchs_stats

• Table Name: nchs_births_female_age_dist_us__isx2_c2ii

• Dataset ID: isx2-c2ii

• Category: National Center for Health Statistics

• Tags: births, maternal age, nchs, united states

• Source Data: https://data.cdc.gov/d/isx2-c2ii

NCHS - Births and General Fertility Rates: United States

• Description: This dataset includes crude birth rates and general fertility rates in the United States since 1909. The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

• Schema: dwv_nchs_stats

• Table Name: nchs_births_general_fertility_rates_us__e6fc_ccez

• Dataset ID: e6fc-ccez

• Category: National Center for Health Statistics

• Tags: birth rate, fertility rate, nchs, united states

• Source Data: https://data.cdc.gov/d/e6fc-ccez

NCHS - Births to Unmarried Women by Age Group: United States

• Description: This dataset includes number of births to unmarried women by age group in the United States since 1940. Methods for collecting information on marital status changed over the reporting period and have been documented in: • Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf. • National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.

• Schema: dwv_nchs_stats

• Table Name: nchs_births_unmarried_women_age_group_u__g6qk_ngsf

• Dataset ID: g6qk-ngsf

• Category: National Center for Health Statistics

• Tags: births, nchs, nonmarital, united states

• Source Data: https://data.cdc.gov/d/g6qk-ngsf

NCHS - Percent Distribution of Births to Unmarried Women by Age Group: United States

• Description: This dataset includes percent distribution of births to unmarried women by age group in the United States since 1970. Methods for collecting information on marital status changed over the reporting period and have been documented in: • Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf. • National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.

• Schema: dwv_nchs_stats

• Table Name: nchs_births_unmarried_women_age_group_u__hzd8_r9mj

• Dataset ID: hzd8-r9mj

• Category: National Center for Health Statistics

• Tags: age, births, nchs, nonmarital, percent distribution

• Source Data: https://data.cdc.gov/d/hzd8-r9mj

NCHS - Birth Rates for Females by Age Group: United States

• Description: This dataset includes birth rates for females by age group in the United States since 1940. The number of states in the reporting area differ historically. In 1915 (when the birth registration area was established), 10 states and the District of Columbia reported births; by 1933, 48 states and the District of Columbia were reporting births, with the last two states, Alaska and Hawaii, added to the registration area in 1959 and 1960, when these regions gained statehood. Reporting area information is detailed in references 1 and 2 below. Trend lines for 1909–1958 are based on live births adjusted for under-registration; beginning with 1959, trend lines are based on registered live births.

• Schema: dwv_nchs_stats

• Table Name: nchs_birth_rates_female_age_group_us__yt7u_eiyg

• Dataset ID: yt7u-eiyg

• Category: National Center for Health Statistics

• Tags: age of mother, birth rates, nchs, united states

• Source Data: https://data.cdc.gov/d/yt7u-eiyg

NCHS - Birth Rates for Unmarried Women by Age, Race, and Hispanic Origin: United States

• Description: This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970. Methods for collecting information on marital status changed over the reporting period and have been documented in: • Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf. • National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm. National data on births by Hispanics origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; for New Hampshire and Oklahoma in 1990; for New Hampshire in 1991 and 1992. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see (ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf.) All birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother.

• Schema: dwv_nchs_stats

• Table Name: nchs_birth_rates_unmarried_women_age_ra__6tkz_y37d

• Dataset ID: 6tkz-y37d

• Category: National Center for Health Statistics

• Tags: birth rates, ethnicity, hispanic origin, nchs, nonmarital, race, united states

• Source Data: https://data.cdc.gov/d/6tkz-y37d

NCHS - Birth Rates for Women Aged 15-17, 17-18, and 15-19: United States, 1960-2015

• Description: This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States.

• Schema: dwv_nchs_stats

• Table Name: nchs_birth_rates_women_15_17_17_18_15_1__rg8a_czmp

• Dataset ID: rg8a-czmp

• Category: National Center for Health Statistics

• Tags: birth rate, women, united states, nchs, u.s. teen birth rate, teen births

• Source Data: https://data.cdc.gov/d/rg8a-czmp

NCHS - Childhood Mortality Rates

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: nchs_childhood_mortality_rates__v6ab_adf5

• Dataset ID: v6ab-adf5

• Category: National Center for Health Statistics

• Tags: children, death rates, mortality, nchs, united states

• Source Data: https://data.cdc.gov/d/v6ab-adf5

NCHS - Death rates and life expectancy at birth

• Description: This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex. 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). Life expectancy data are available up to 2017. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm. 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.

• Schema: dwv_nchs_stats

• Table Name: nchs_death_rates_life_expectancy_birth___w9j2_ggv5

• Dataset ID: w9j2-ggv5

• Category: National Center for Health Statistics

• Tags: death rates, life expectancy, mortality, nchs, united states

• Source Data: https://data.cdc.gov/d/w9j2-ggv5

NCHS - Drug Poisoning Mortality by County: United States

• Description: This dataset contains model-based county estimates for drug-poisoning mortality. 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 2011–2016 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. 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. Drug poisoning death rates may be underestimated in those instances. 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. 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 for 1999-2015 have been updated, and may differ slightly from previously published estimates. Differences are expected to be minimal, and may result from different county boundaries used in this release (see below) and from the inclusion of an additional year of data. Previously published estimates can be found here for comparison.(6) Estimates are unavailable for Broomfield County, Colorado, and Denali County, Alaska, before 2003 (7,8). Additionally, Clifton Forge County, Virginia only appears on the mortality files prior to 2003, while Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. These counties were therefore merged with adjacent counties where necessary to create a consistent set of geographic units across the time period. County boundaries are largely consistent with the vintage 2005-2007 bridged-race population file geographies, with the modifications noted previously (7,8). REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html. 3. Rossen LM, Khan D, Warner M. Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009. Am J Prev Med 45(6):e19–25. 2013. 4. Rossen LM, Khan D, Warner M. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health Place 26:14–20. 2014. 5. Rossen LM, Khan D, Hamilton B, Warner M. Spatiotemporal variation in selected health outcomes from the National Vital Statistics System. Presented at: 2015 National Conference on Health Statistics, August 25, 2015, Bethesda, MD. Available from: http://www.cdc.gov/nchs/ppt/nchs2015/Rossen_Tuesday_WhiteOak_BB3.pdf. 6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e. 7. National Center for Health Statistics. County geog

• Schema: dwv_nchs_stats

• Table Name: nchs_drug_poisoning_mortality_county_us__p56q_jrxg

• Dataset ID: p56q-jrxg

• Category: National Center for Health Statistics

• Tags: deaths, drug poisoning, mortality, county, united states, nchs

• Source Data: https://data.cdc.gov/d/p56q-jrxg

NCHS - Drug Poisoning Mortality by County: United States

• Description: This dataset describes drug poisoning deaths at the county 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).

• Schema: dwv_nchs_stats

• Table Name: nchs_drug_poisoning_mortality_county_us__pbkm_d27e

• Dataset ID: pbkm-d27e

• Category: National Center for Health Statistics

• Tags: county, deaths, drug poisoning, mortality, nchs, united states

• Source Data: https://data.cdc.gov/d/pbkm-d27e

NCHS - Drug Poisoning Mortality by County: United States

• Description: 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. 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 2011–2017 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. 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. Drug poisoning death rates may be underestimated in those instances. REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.

• Schema: dwv_nchs_stats

• Table Name: nchs_drug_poisoning_mortality_county_us__rpvx_m2md

• Dataset ID: rpvx-m2md

• Category: National Center for Health Statistics

• Tags: deaths, drug poisoning, mortality, national, nchs, state, united states

• Source Data: https://data.cdc.gov/d/rpvx-m2md

NCHS - Drug Poisoning Mortality by State: United States

• Description: 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. 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 2011–2017 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. 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. Drug poisoning death rates may be underestimated in those instances. REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.

• Schema: dwv_nchs_stats

• Table Name: nchs_drug_poisoning_mortality_state_us__44rk_q6r2

• Dataset ID: 44rk-q6r2

• Category: National Center for Health Statistics

• Tags: deaths, drug poisoning, mortality, state, national, united states, nchs

• Source Data: https://data.cdc.gov/d/44rk-q6r2

NCHS - Drug Poisoning Mortality by State: United States

• Description: 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).

• Schema: dwv_nchs_stats

• Table Name: nchs_drug_poisoning_mortality_state_us__jx6g_fdh6

• Dataset ID: jx6g-fdh6

• Category: National Center for Health Statistics

• Tags: deaths, drug poisoning, mortality, national, nchs, state, united states

• Source Data: https://data.cdc.gov/d/jx6g-fdh6

NCHS - Drug Poisoning Mortality by State: United States

• Description: 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. 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 2011–2016 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. 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. Drug poisoning death rates may be underestimated in those instances. REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.

• Schema: dwv_nchs_stats

• Table Name: nchs_drug_poisoning_mortality_state_us__xbxb_epbu

• Dataset ID: xbxb-epbu

• Category: National Center for Health Statistics

• Tags: deaths, drug poisoning, mortality, national, nchs, state, united states

• Source Data: https://data.cdc.gov/d/xbxb-epbu

NCHS - Infant Mortality Rates, by Race: United States, 1915-2013

• Description: All birth data by race before 1980 are based on race of the child; starting in 1980, birth data by race are based on race of the mother. Birth data are used to calculate infant mortality rate. https://www.cdc.gov/nchs/data-visualization/mortality-trends/

• Schema: dwv_nchs_stats

• Table Name: nchs_infant_mortality_rates_race_us_191__ddsk_zebd

• Dataset ID: ddsk-zebd

• Category: National Center for Health Statistics

• Tags: infant mortality rates, nchs, race, united states

• Source Data: https://data.cdc.gov/d/ddsk-zebd

NCHS - Infant and neonatal mortality rates: United States, 1915-2013

• Description: 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/

• Schema: dwv_nchs_stats

• Table Name: nchs_infant_neonatal_mortality_rates_us__epev_k6ss

• Dataset ID: epev-k6ss

• Category: National Center for Health Statistics

• Tags: infant, mortality, nchs, neonatal, united states

• Source Data: https://data.cdc.gov/d/epev-k6ss

NCHS - Injury Mortality: United States

• Description: 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. Examples of mechanisms of injury include falls, motor vehicle traffic crashes, burns, poisonings, and drownings (1,2). Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia. Age-adjusted death rates (per 100,000 standard population) are based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 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 non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Causes of injury death are classified by the International Classification of Diseases, Tenth Revision (ICD–10). Categories of injury intent and injury mechanism generally follow the categories in the external-cause-of-injury mortality matrix (1,2). Cause-of-death statistics are based on the underlying cause of death. SOURCES 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. ICD–10: External cause of injury mortality matrix. 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. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf. 4. Miniño AM, Anderson RN, Fingerhut LA, Boudreault MA, Warner M. Deaths: Injuries, 2002. National vital statistics reports; vol 54 no 10. Hyattsville, MD: National Center for Health Statistics. 2006.

• Schema: dwv_nchs_stats

• Table Name: nchs_injury_mortality_us__nt65_c7a7

• Dataset ID: nt65-c7a7

• Category: National Center for Health Statistics

• Tags: injury, mortality, nchs, united states

• Source Data: https://data.cdc.gov/d/nt65-c7a7

NCHS - Injury Mortality: United States

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: nchs_injury_mortality_us__vc9m_u7tv

• Dataset ID: vc9m-u7tv

• Category: National Center for Health Statistics

• Tags: injury, mortality, united states, nchs

• Source Data: https://data.cdc.gov/d/vc9m-u7tv

NCHS - Leading Causes of Death: United States

• Description: This dataset presents the age-adjusted death rates for the 10 leading causes of death in the United States beginning in 1999. Data are based on information from all resident death certificates filed in the 50 states and the District of Columbia using demographic and medical characteristics. Age-adjusted death rates (per 100,000 population) are based on the 2000 U.S. standard population. Populations used for computing death rates after 2010 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 non-census years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Causes of death classified by the International Classification of Diseases, Tenth Revision (ICD–10) are ranked according to the number of deaths assigned to rankable causes. Cause of death statistics are based on the underlying cause of death. SOURCES 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. 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. 2. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

• Schema: dwv_nchs_stats

• Table Name: nchs_leading_causes_of_death_us_xplanat__bi63_dtpu

• Dataset ID: bi63-dtpu

• Category: National Center for Health Statistics

• Tags: leading causes of death, mortality, nchs, state, united states

• Source Data: https://data.cdc.gov/d/bi63-dtpu

NCHS - Natality Measures for Females by Hispanic Origin Subgroup: United States

• Description: This dataset includes live births, birth rates, and fertility rates by Hispanic origin of mother in the United States since 1989. National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf).

• Schema: dwv_nchs_stats

• Table Name: nchs_natality_female_hispanic_origin_su__s54h_bixi

• Dataset ID: s54h-bixi

• Category: National Center for Health Statistics

• Tags: birth, birth rate, ethnicity, fertility rate, hispanic origin, nchs, united states

• Source Data: https://data.cdc.gov/d/s54h-bixi

NCHS - Natality Measures for Females by Race and Hispanic Origin: United States

• Description: This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960. Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison. SOURCES NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES 1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf. 2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf. 3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf. 4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf. 5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf. 6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

• Schema: dwv_nchs_stats

• Table Name: nchs_natality_measures_females_race_his__89yk_m38d

• Dataset ID: 89yk-m38d

• Category: National Center for Health Statistics

• Tags: birth rates, births, ethnicity, fertility rates, hispanic origin, nchs, race, united states

• Source Data: https://data.cdc.gov/d/89yk-m38d

NCHS - Nonmarital Birth Rates, by Age Group for All Women Age 15-44: United States, 1970-2013

• Description: https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm

• Schema: dwv_nchs_stats

• Table Name: nchs_nonmarital_birth_rates_age_groups___jvf6_ix4w

• Dataset ID: jvf6-ix4w

• Category: National Center for Health Statistics

• Tags: birth rates, age group, women, united states, nchs

• Source Data: https://data.cdc.gov/d/jvf6-ix4w

NCHS - Potentially Excess Deaths from the Five Leading Causes of Death

• Description: MMWR Surveillance Summary 66 (No. SS-1):1-8 found that nonmetropolitan areas have significant numbers of potentially excess deaths from the five leading causes of death. These figures accompany this report by presenting information on potentially excess deaths in nonmetropolitan and metropolitan areas at the state level. They also add additional years of data and options for selecting different age ranges and benchmarks. Potentially excess deaths are defined in MMWR Surveillance Summary 66(No. SS-1):1-8 as deaths that exceed the numbers that would be expected if the death rates of states with the lowest rates (benchmarks) occurred across all states. They are calculated by subtracting expected deaths for specific benchmarks from observed deaths. Not all potentially excess deaths can be prevented; some areas might have characteristics that predispose them to higher rates of death. However, many potentially excess deaths might represent deaths that could be prevented through improved public health programs that support healthier behaviors and neighborhoods or better access to health care services. Mortality data for U.S. residents come from the National Vital Statistics System. Estimates based on fewer than 10 observed deaths are not shown and shaded yellow on the map. Underlying cause of death is based on the International Classification of Diseases, 10th Revision (ICD-10) Heart disease (I00-I09, I11, I13, and I20–I51) Cancer (C00–C97) Unintentional injury (V01–X59 and Y85–Y86) Chronic lower respiratory disease (J40–J47) Stroke (I60–I69) Locality (nonmetropolitan vs. metropolitan) is based on the Office of Management and Budget’s 2013 county-based classification scheme. Benchmarks are based on the three states with the lowest age and cause-specific mortality rates. Potentially excess deaths for each state are calculated by subtracting deaths at the benchmark rates (expected deaths) from observed deaths. Users can explore three benchmarks: “2010 Fixed” is a fixed benchmark based on the best performing States in 2010. “2005 Fixed” is a fixed benchmark based on the best performing States in 2005. “Floating” is based on the best performing States in each year so change from year to year. SOURCES 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. Moy E, Garcia MC, Bastian B, Rossen LM, Ingram DD, Faul M, Massetti GM, Thomas CC, Hong Y, Yoon PW, Iademarco MF. Leading Causes of Death in Nonmetropolitan and Metropolitan Areas – United States, 1999-2014. MMWR Surveillance Summary 2017; 66(No. SS-1):1-8. 2. Garcia MC, Faul M, Massetti G, Thomas CC, Hong Y, Bauer UE, Iademarco MF. Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States. MMWR Surveillance Summary 2017; 66(No. SS-2):1–7.

• Schema: dwv_nchs_stats

• Table Name: nchs_potentially_excess_deaths_leading___vdpk_qzpr

• Dataset ID: vdpk-qzpr

• Category: National Center for Health Statistics

• Tags: cancer, chronic lower respiratory disease, heart disease, stroke, unintentional injury

• Source Data: https://data.cdc.gov/d/vdpk-qzpr

NCHS - Pregnancy and Live Birth Rates, by Marital Status and Race and Hispanic Origin: United States, 1990-2010

• Description: https://www.cdc.gov/nchs/data-visualization/births-to-unmarried-women/index.htm

• Schema: dwv_nchs_stats

• Table Name: nchs_pregnancy_live_birth_rates_marital__7pcd_2tnr

• Dataset ID: 7pcd-2tnr

• Category: National Center for Health Statistics

• Tags: hispanic origin, live birth rate, marital status, nchs, race, united states

• Source Data: https://data.cdc.gov/d/7pcd-2tnr

NCHS - Pregnancy Rates, by Age for Hispanic Women: United States, 1990-2010

• Description: https://www.cdc.gov/nchs/data-visualization/natality-trends/index.htm

• Schema: dwv_nchs_stats

• Table Name: nchs_pregnancy_rates_hispanic_women_us___hdy7_e2a3

• Dataset ID: hdy7-e2a3

• Category: National Center for Health Statistics

• Tags: pregnancy rate, hispanic women, united states, nchs

• Source Data: https://data.cdc.gov/d/hdy7-e2a3

NCHS Rapid Surveys System

• Description: The NCHS Rapid Surveys System includes questions sponsored by CDC programs and other partners to address time-sensitive data needs, public health attitudes or behaviors, and developmental work to improve concept measurement and inform future question design. It also includes standard variables used for sample weighting and calibration, as well as selected portions of existing content from NCHS surveys (such as the National Health Interview Survey) to compare panel estimates to these benchmarks, assess the fitness-for-use of the panel survey data, and for other methodological purposes.

• Schema: dwv_nchs_stats

• Table Name: nchs_rapid_surveys_system_xplanation_on__p89x_xx88

• Dataset ID: p89x-xx88

• Category: National Center for Health Statistics

• Tags: dhis, nchs

• Source Data: https://data.cdc.gov/d/p89x-xx88

NCHS - Teen Birth Rates for Age Group 15-19 in the United States by County

• Description: This data set contains estimated teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) by county and year. DEFINITIONS Estimated teen birth rate: Model-based estimates of teen birth rates for age group 15–19 (expressed per 1,000 females aged 15–19) for a specific county and year. Estimated county teen birth rates were obtained using the methods described elsewhere (1,2,3,4). These annual county-level teen birth estimates “borrow strength” across counties and years to generate accurate estimates where data are sparse due to small population size (1,2,3,4). The inferential method uses information—including the estimated teen birth rates from neighboring counties across years and the associated explanatory variables—to provide a stable estimate of the county teen birth rate. Median teen birth rate: The middle value of the estimated teen birth rates for the age group 15–19 for counties in a state. Bayesian credible intervals: A range of values within which there is a 95% probability that the actual teen birth rate will fall, based on the observed teen births data and the model. NOTES Data on the number of live births for women aged 15–19 years were extracted from the National Center for Health Statistics’ (NCHS) National Vital Statistics System birth data files for 2003–2015 (5). Population estimates were extracted from the files containing intercensal and postcensal bridged-race population estimates provided by NCHS. For each year, the July population estimates were used, with the exception of the year of the decennial census, 2010, for which the April estimates were used. Hierarchical Bayesian space–time models were used to generate hierarchical Bayesian estimates of county teen birth rates for each year during 2003–2015 (1,2,3,4). The Bayesian analogue of the frequentist confidence interval is defined as the Bayesian credible interval. A 100*(1-α)% Bayesian credible interval for an unknown parameter vector θ and observed data vector y is a subset C of parameter space Ф such that 1-α≤P({C│y})=∫p{θ │y}dθ, where integration is performed over the set and is replaced by summation for discrete components of θ. The probability that θ lies in C given the observed data y is at least (1- α) (6). County borders in Alaska changed, and new counties were formed and others were merged, during 2003–2015. These changes were reflected in the population files but not in the natality files. For this reason, two counties in Alaska were collapsed so that the birth and population counts were comparable. Additionally, Kalawao County, a remote island county in Hawaii, recorded no births, and census estimates indicated a denominator of 0 (i.e., no females between the ages of 15 and 19 years residing in the county from 2003 through 2015). For this reason, Kalawao County was removed from the analysis. Also , Bedford City, Virginia, was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. For consistency, Bedford City was merged with Bedford County, Virginia, for the entire 2003–2015 period. Final analysis was conducted on 3,137 counties for each year from 2003 through 2015. County boundaries are consistent with the vintage 2005–2007 bridged-race population file geographies (7).

• Schema: dwv_nchs_stats

• Table Name: nchs_teen_birth_rates_county_15_19__3h58_x6cd

• Dataset ID: 3h58-x6cd

• Category: National Center for Health Statistics

• Tags: county teen birth trends, county trends on teen births, nchs, teen births, united states, u.s. teen birth rate

• Source Data: https://data.cdc.gov/d/3h58-x6cd

NCHS - Teen Birth Rates for Females by Age Group, Race, and Hispanic Origin: United States

• Description: This dataset includes teen birth rates for females by age group, race, and Hispanic origin in the United States since 1960. Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison. National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf).

• Schema: dwv_nchs_stats

• Table Name: nchs_teen_birth_rates_female_age_race_h__e8kx_wbww

• Dataset ID: e8kx-wbww

• Category: National Center for Health Statistics

• Tags: age, birth rate, ethnicity, hispanic origin, nchs, race, united states

• Source Data: https://data.cdc.gov/d/e8kx-wbww

NCHS - Top Five Leading Causes of Death: United States, 1990, 1950, 2000

• Description: This dataset contains information on the number of deaths and age-adjusted death rates for the five leading causes of death in 1900, 1950, and 2000. 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). 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.

• Schema: dwv_nchs_stats

• Table Name: nchs_top_five_leading_causes_of_death_u__mc4y_cbbv

• Dataset ID: mc4y-cbbv

• Category: National Center for Health Statistics

• Tags: cause of death, mortality, nchs, united states

• Source Data: https://data.cdc.gov/d/mc4y-cbbv

NCHS - U.S. and State Trends on Teen Births

• Description: This dataset assembles all final birth data for females aged 15–19, 15–17, and 18–19 for the United States and each of the 50 states. Data are based on 100% of birth certificates filed in all 50 states. All the teen birth rates in this dashboard reflect the latest revisions to Census populations (i.e., the intercensal populations) and thus provide a consistent series of accurate rates for the past 25 years. The denominators of the teen birth rates for 1991–1999 have been revised to incorporate the results of the 2000 Census. The denominators of the teen birth rates for 2001–2009 have revised to incorporate the results of the 2010 Census.

• Schema: dwv_nchs_stats

• Table Name: nchs_us_state_teen_births_trends__y268_sna3

• Dataset ID: y268-sna3

• Category: National Center for Health Statistics

• Tags: nchs, state teen birth trends, teen births, united states, u.s. and state trends on teen births, u.s. teen birth rate

• Source Data: https://data.cdc.gov/d/y268-sna3

NCHS - VSRR Quarterly provisional estimates for infant mortality

• Description: Provisional estimates of infant mortality (deaths of infants under 1 year per 1,000 live births), neonatal mortality (deaths of infants aged 0-27 days per 1,000 live births), postneonatal mortality (deaths of infants aged 28 days through 11 months per 1,000 live births), and death rates for the five leading causes of infant death.

• Schema: dwv_nchs_stats

• Table Name: nchs_vsrr_infant_mortality_qtr_provisio__jqwm_z2g9

• Dataset ID: jqwm-z2g9

• Category: National Center for Health Statistics

• Tags: causes of death, deaths, infant mortality, mortality, nchs, nvss, provisional, quarterly, united states, vsrr

• Source Data: https://data.cdc.gov/d/jqwm-z2g9

NCHS - VSRR Quarterly provisional estimates for selected birth indicators

• Description: Provisional estimates of selected reproductive indicators. Estimates are presented for: general fertility rates, age-specific birth rates, total and low risk cesarean delivery rates, preterm birth rates and other gestational age categories.

• Schema: dwv_nchs_stats

• Table Name: nchs_vsrr_quarterly_provisional_birth_i__76vv_a7x8

• Dataset ID: 76vv-a7x8

• Category: National Center for Health Statistics

• Tags: birth rate, cesarean delivery, fertility rate, nchs, preterm birth, vital statistics rapid release, vsrr

• Source Data: https://data.cdc.gov/d/76vv-a7x8

NCHS - VSRR Quarterly provisional estimates for selected indicators of mortality

• Description: Provisional estimates of death rates. Estimates are presented for each of the 15 leading causes of death plus estimates for deaths attributed to drug overdose, falls (for persons aged 65 and over), human immunodeficiency virus (HIV) disease, homicide, and firearms-related deaths.

• Schema: dwv_nchs_stats

• Table Name: nchs_vsrr_quarterly_provisional_mortali__489q_934x

• Dataset ID: 489q-934x

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, alzheimer disease, cancer, causes of death, cerebrovascular disease, chronic liver disease, chronic lower respiratory disease, cirrhosis, coronavirus, covid-19, death rate, deaths, diabetes, diseases of heart, drug overdose, falls, firearm injury, hiv disease, homicide, hypertensive disease, influenza, kidney disease, mortality, nchs, nvss, parkinson disease, pneumonia, pneumonitis due to solids and liquids, provisional, quarterly, septicemia, sex, state, suicide, unintentional injuries, united states, vsrr

• Source Data: https://data.cdc.gov/d/489q-934x

NHANES Select Chronic Conditions Prevalence Estimates

• Description: These data represent prevalence estimates of select chronic conditions from the National Health and Nutrition Examination Survey (NHANES).

• Schema: dwv_nchs_stats

• Table Name: nhanes_chronic_cond_prev_estimates__i667_sjhg

• Dataset ID: i667-sjhg

• Category: National Center for Health Statistics

• Tags: chronic conditions, health statistics, nchs, nhanes, surveillance, survey

• Source Data: https://data.cdc.gov/d/i667-sjhg

NHANES Select Infectious Diseases Prevalence Estimates

• Description: These data represent prevalence estimates of select infectious diseases from the National Health and Nutrition Examination Survey (NHANES).

• Schema: dwv_nchs_stats

• Table Name: nhanes_infectious_diseases_prevalence_e__pqn7_e45s

• Dataset ID: pqn7-e45s

• Category: National Center for Health Statistics

• Tags: health statistics, infectious disease, nchs, nhanes, surveillance, survey

• Source Data: https://data.cdc.gov/d/pqn7-e45s

NHANES Select Oral Health Prevalence Estimates

• Description: These data represent prevalence estimates of select oral health topics from the National Health and Nutrition Examination Survey (NHANES).

• Schema: dwv_nchs_stats

• Table Name: nhanes_oral_health_prevalence_estimates__ggsw_596z

• Dataset ID: ggsw-596z

• Category: National Center for Health Statistics

• Tags: health statistics, nchs, nhanes, oral health, surveillance, survey

• Source Data: https://data.cdc.gov/d/ggsw-596z

NHANES Select Mean Dietary Intake Estimates

• Description: These data represent mean intake, on a given day, estimates of nutrients from foods and beverages from the National Health and Nutrition Examination Survey (NHANES).

• Schema: dwv_nchs_stats

• Table Name: nhanes_select_mean_dietary_intake_estim__8wmh_yzz9

• Dataset ID: 8wmh-yzz9

• Category: National Center for Health Statistics

• Tags: health statistics, nchs, nhanes, nutrition, surveillance, survey

• Source Data: https://data.cdc.gov/d/8wmh-yzz9

NHIS Adult 3-Year Summary Health Statistics

• Description: Interactive Summary Health Statistics for Adults, by Detailed Race and Ethnicity provide estimates as three-year averages of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.

• Schema: dwv_nchs_stats

• Table Name: nhis_adult_3yr_summary_stats__krhz_spsc

• Dataset ID: krhz-spsc

• Category: National Center for Health Statistics

• Tags: ethnicity, nhis, race, sdoh-access-to-health-care, sdoh-employment, sdoh-food-access, sdoh-food-insecurity, sdoh-higher-education, sdoh-high-school, sdoh-housing-stability, sdoh-poverty-income, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-workplace, summary health statistics

• Source Data: https://data.cdc.gov/d/krhz-spsc

NHIS Adult Summary Health Statistics

• Description: Interactive Summary Health Statistics for Adults provide annual estimates of selected health topics for adults aged 18 years and over based on final data from the National Health Interview Survey.

• Schema: dwv_nchs_stats

• Table Name: nhis_adult_summary_stats__25m4_6qqq

• Dataset ID: 25m4-6qqq

• Category: National Center for Health Statistics

• Tags: nhis, sdoh-access-to-health-care, sdoh-employment, sdoh-food-access, sdoh-food-insecurity, sdoh-higher-education, sdoh-high-school, sdoh-housing-stability, sdoh-poverty-income, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-workplace, summary health statistics

• Source Data: https://data.cdc.gov/d/25m4-6qqq

NHIS Child Summary Health Statistics

• Description: Interactive Summary Health Statistics for Children provide annual estimates of selected health topics for children under age 18 years based on final data from the National Health Interview Survey.

• Schema: dwv_nchs_stats

• Table Name: nhis_child_summary_stats__wxz7_ekz9

• Dataset ID: wxz7-ekz9

• Category: National Center for Health Statistics

• Tags: nhis, sdoh-access-to-health-care, sdoh-employment, sdoh-food-access, sdoh-food-insecurity, sdoh-higher-education, sdoh-high-school, sdoh-housing-stability, sdoh-poverty-income, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-workplace, summary health statistics

• Source Data: https://data.cdc.gov/d/wxz7-ekz9

NHIS Interactive Biannual Early Release Estimates

• Description: Interactive Biannual Early Release Estimates provide health statistics based on data from the 2019-2021 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates can be grouped by demographic characteristics (such as age, race and Hispanic origin, or sex). Estimates based on 2019-2020 NHIS quarterly data are available in Interactive Quarterly Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.

• Schema: dwv_nchs_stats

• Table Name: nhis_interactive_biannual_estimates__trpk_sp8z

• Dataset ID: trpk-sp8z

• Category: National Center for Health Statistics

• Tags: sdoh-housing-stability, sdoh-higher-education, sdoh-food-insecurity, sdoh-food-access, sdoh-employment, sdoh-access-to-health-care, nhis, key health indicators, early release, sdoh-workplace, sdoh-use-of-health-care, sdoh-source-of-health-care, sdoh-poverty-income, sdoh-high-school

• Source Data: https://data.cdc.gov/d/trpk-sp8z

NHIS Interactive Quarterly Early Release Estimates

• Description: Interactive Quarterly Early Release Estimates provide health statistics based on data from the 2019-2022 National Health Interview Survey (NHIS) for selected health topics for adults aged 18 years and over. All estimates are unadjusted percentages based on preliminary data files and are released prior to final data editing and final weighting to provide access to the most recent information from the NHIS. Estimates presented here are based on quarterly data. Estimates based on half-year data, with groupings by demographic characteristics, are available in the Interactive Biannual Early Release Estimates. Estimates based on the 1997–2018 NHIS can be found in Previous Early Release Reports on Key Health Indicators.

• Schema: dwv_nchs_stats

• Table Name: nhis_interactive_qtrly_estimates__wpti_gvdi

• Dataset ID: wpti-gvdi

• Category: National Center for Health Statistics

• Tags: early release, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-access-to-health-care, nhis, key health indicators

• Source Data: https://data.cdc.gov/d/wpti-gvdi

NHIS Teen

• Description: Interactive Summary Health Statistics for Teens provide estimates of selected health topics for youth aged 12-17 years based on final data from the National Health Interview Survey— Teen.

• Schema: dwv_nchs_stats

• Table Name: nhis_teen_ere_s_the_breakdown_of_the_co__5pqj_rvh4

• Dataset ID: 5pqj-rvh4

• Category: National Center for Health Statistics

• Tags: nhis, sdoh-access-to-health-care, sdoh-employment, sdoh-food-access, sdoh-food-insecurity, sdoh-higher-education, sdoh-high-school, sdoh-housing-stability, sdoh-poverty-income, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-workplace, summary health statistics

• Source Data: https://data.cdc.gov/d/5pqj-rvh4

Normal weight, overweight, and obesity among adults aged 20 and over, by selected characteristics: United States

• Description: Data on normal weight, overweight, and obesity among adults aged 20 and over 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 and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

• Schema: dwv_nchs_stats

• Table Name: normal_weight_overweight_obesity_adults__3nzu_udr9

• Dataset ID: 3nzu-udr9

• Category: National Center for Health Statistics

• Tags: adult, african americans, age, asian continental ancestry group, chronic conditions, continental population groups, european continental ancestry group, health risk factors, health us, hispanic americans, obesity, overweight, poverty, sdoh-poverty-income, sex

• Source Data: https://data.cdc.gov/d/3nzu-udr9

Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

• Description: Data on obesity among children and adolescents aged 2-19 years 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 and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

• Schema: dwv_nchs_stats

• Table Name: obesity_children_adolescents_us_his_ide__9gay_j69q

• Dataset ID: 9gay-j69q

• Category: National Center for Health Statistics

• Tags: adolescent, adult, african americans, age, asian continental ancestry group, child, chronic conditions, continental population groups, european continental ancestry group, health risk factors, health us, hispanic americans, obesity, overweight, poverty, sdoh-poverty-income, sex

• Source Data: https://data.cdc.gov/d/9gay-j69q

Physician Experiences Related to COVID-19 from the National Ambulatory Medical Care Survey

• Description: The National Ambulatory Medical Care Survey (NAMCS), conducted by the National Center for Health Statistics (NCHS), collects data on visits to physician offices to describe patterns of ambulatory care delivery in the United States. As part of NAMCS, the Physician Induction Interview collects information about practice characteristics at physician offices. Partway through the 2020 NAMCS, NCHS added questions to the Physician Induction Interview to assess physician experiences related to COVID-19 in office-based settings. The data include nationally representative estimates of experiences related to COVID-19 among office-based physicians in the United States, including: shortages of personal protective equipment (PPE) in the past 3 months; the ability to test for COVID-19 in the past 3 months; providers testing positive for COVID-19 in the past 3 months; turning away COVID-19 patients in the past 3 months; and telemedicine or telehealth technology use before and after March 2020. Estimates were derived from interviews with physicians in periods 3 and 4 of 2020 NAMCS and periods 1 through 4 of 2021 NAMCS, which occurred between December 15, 2020 and May 6, 2022. The data are considered preliminary, and the results may change with the final data release.

• Schema: dwv_nchs_stats

• Table Name: physician_covid19_nams_experiences__kk8c_wtm4

• Dataset ID: kk8c-wtm4

• Category: National Center for Health Statistics

• Tags: covid-19, physicians

• Source Data: https://data.cdc.gov/d/kk8c-wtm4

Population Group Estimates used in the Healthy People 2020 Overview of Health Disparities

• Description: The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities.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. This file contains estimates and standard errors for the baseline and final years for individual population groups used in the Overview of Health Disparities analysis. The number and definitions of population groups varied across the HP2020 objectives and data sources used. These population groups are shown in the disparities file as originally reported by the data source, rather than the harmonized categories that were used for the HP2020 Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). Additionally, for any given objective, the baseline and final years used for the disparities analysis do not necessarily correspond to the baseline and final years used to evaluate progress toward target attainment in the HP2020 Final Review Progress Table (https://www.cdc.gov/nchs/healthy_people/hp2020/progress-tables.htm) and Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). These distinctions should be considered when merging the downloadable Progress Table or Progress by Population Group data files with the Overview of Health Disparities data files, or when integrative analyses that incorporate both disparities and progress data are conducted. 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/).

• Schema: dwv_nchs_stats

• Table Name: population_group_estimates_healthy_peop__jfbs_8cpp

• Dataset ID: jfbs-8cpp

• Category: National Center for Health Statistics

• Tags: healthy people 2020, health disparities, sdoh-poverty-income, sdoh-employment, sdoh-food-insecurity, sdoh-housing-stability, sdoh-high-school, sdoh-higher-education, sdoh-literacy, sdoh-early-childhood, sdoh-access-to-health-care, sdoh-source-of-health-care, sdoh-use-of-health-care, sdoh-health-literacy, sdoh-food-access, sdoh-housing-quality, sdoh-crime-violence, sdoh-environmental, sdoh-workplace, sdoh-transportation, sdoh-social-emotional, sdoh-civic-participation, sdoh-discrimination, sdoh-racism, sdoh-incarceration, sdoh-language

• Source Data: https://data.cdc.gov/d/jfbs-8cpp

Biennial Overview of Post-acute and Long-term Care in the United States: Data from the National Post-acute and Long-term Care Study

• Description: The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on post-acute and long-term care providers every two years. The goal is to monitor post-acute and long-term care settings with reliable, accurate, relevant, and timely statistical information to support and inform policy, research, and practice. These data tables provide an overview of the geographic, organizational, staffing, service provision, and user characteristics of paid, regulated long-term and post-acute care providers in the United States. The settings include adult day services centers, home health agencies, hospices, inpatient rehabilitation facilities, long-term care hospitals, and nursing homes.

• Schema: dwv_nchs_stats

• Table Name: postacute_longterm_care_overview_bienni__wibz_pb5q

• Dataset ID: wibz-pb5q

• Category: National Center for Health Statistics

• Tags: activities of daily living, adult day services centers, diagnoses, healthcare, long-term care, medicaid, nurse staffing, post-acute care, residential care communities, sdoh-access-to-health-care, sdoh-use-of-health-care

• Source Data: https://data.cdc.gov/d/wibz-pb5q

Post-COVID Conditions

• Description: As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) recently added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. Data collection began on April 23, 2020. Beginning in Phase 3.5 (on June 1, 2022), NCHS included questions about the presence of symptoms of COVID that lasted three months or longer. Phase 3.5 will continue with a two-weeks on, two-weeks off collection and dissemination approach. Estimates on this page are derived from the Household Pulse Survey and show the percentage of adults aged 18 and over who a) as a proportion of the U.S. population, the percentage of adults who EVER experienced post-COVID conditions (long COVID). These adults had COVID and had some symptoms that lasted three months or longer; b) as a proportion of adults who said they ever had COVID, the percentage who EVER experienced post-COVID conditions; c) as a proportion of the U.S. population, the percentage of adults who are CURRENTLY experiencing post-COVID conditions. These adults had COVID, had long-term symptoms, and are still experiencing symptoms; d) as a proportion of adults who said they ever had COVID, the percentage who are CURRENTLY experiencing post-COVID conditions; and e) as a proportion of the U.S. population, the percentage of adults who said they ever had COVID.

• Schema: dwv_nchs_stats

• Table Name: post_covid_conditions__gsea_w83j

• Dataset ID: gsea-w83j

• Category: National Center for Health Statistics

• Tags: covid-19, post-covid

• Source Data: https://data.cdc.gov/d/gsea-w83j

Preliminary Estimates of Visits to Health Centers in the United States, January 2022-December 2024

• Description: The National Ambulatory Medical Care Survey (NAMCS) Health Center Component, conducted by the National Center for Health Statistics (NCHS), collects annual data on visits to health centers to describe patterns of utilization and provision of ambulatory care delivery in the United States. Data are collected from federally qualified health centers (FQHCs) and FQHC look-alikes from all 50 U.S. states and the District of Columbia and are used to develop nationally representative estimates. The data include preliminary, biannual counts and rates of health center visits from January 2022-December 2024 by medical diagnosis chapters, maternal and reproductive health-related diagnoses, mental health disorders, and respiratory conditions, stratified by selected patient characteristics. Estimates are split into biannual time periods (January to June, and July to December) and are considered preliminary, meaning they may differ from final estimates.

• Schema: dwv_nchs_stats

• Table Name: prelim_us_health_center_visits_2022_202__367e_pucc

• Dataset ID: 367e-pucc

• Category: National Center for Health Statistics

• Source Data: https://data.cdc.gov/d/367e-pucc

Prevalence of Selected Measures Among Adults Aged 20 and Over: United States, 1999-2000 through 2017-2018

• Description: This data represents the age-adjusted prevalence of high total cholesterol, hypertension, and obesity among US adults aged 20 and over between 1999-2000 to 2017-2018. Notes: * All estimates are age adjusted by the direct method to the U.S. Census 2000 population using age groups 20–39, 40–59, and 60 and over. Definitions Hypertension: Systolic blood pressure greater than or equal to 130 mmHg or diastolic blood pressure greater than or equal to 80 mmHg, or currently taking medication to lower high blood pressure High total cholesterol: Serum total cholesterol greater than or equal to 240 mg/dL. Obesity: Body mass index (BMI, weight in kilograms divided by height in meters squared) greater than or equal to 30. Data Source and Methods Data from the National Health and Nutrition Examination Surveys (NHANES) for the years 1999–2000, 2001–2002, 2003–2004, 2005–2006, 2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018 were used for these analyses. NHANES is a cross-sectional survey designed to monitor the health and nutritional status of the civilian noninstitutionalized U.S. population. The survey consists of interviews conducted in participants’ homes and standardized physical examinations, including a blood draw, conducted in mobile examination centers.

• Schema: dwv_nchs_stats

• Table Name: prevalence_selected_measures_adults_199__28df_2bwy

• Dataset ID: 28df-2bwy

• Category: National Center for Health Statistics

• Tags: high cholesterol, hypertension, nhanes, obesity

• Source Data: https://data.cdc.gov/d/28df-2bwy

Provisional COVID-19 Deaths: Focus on Ages 0-18 Years

• Description: Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html). Deaths involving coronavirus disease 2019 (COVID-19) with a focus on ages 0-18 years in the United States.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_ages_0_18_ye__nr4s_juj3

• Dataset ID: nr4s-juj3

• Category: National Center for Health Statistics

• Tags: age, age group, children, coronavirus, covid-19, deaths, hispanic origin, mortality, nchs, nvss, provisional, race, sex, united states

• Source Data: https://data.cdc.gov/d/nr4s-juj3

Provisional COVID-19 Death Counts by Age in Years, 2020-2023

• Description: Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html). Cumulative deaths involving COVID-19 reported to NCHS by sex and age in years, in the United States.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_age_2020_202__3apk_4u4f

• Dataset ID: 3apk-4u4f

• Category: National Center for Health Statistics

• Tags: age, all causes, children, coronavirus, covid-19, deaths, mortality, nchs, nvss, provisional, sex, united states

• Source Data: https://data.cdc.gov/d/3apk-4u4f

Provisional COVID-19 Deaths by County, and Race and Hispanic Origin

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. County data on race and Hispanic origin is available for counties with more than 100 COVID-19 deaths. Deaths are cumulative from the week ending January 4, 2020 to the most recent reporting week, and based on county of occurrence. Data is provisional. Urban-rural classification is based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties (https://www.cdc.gov/nchs/data_access/urban_rural.htm).

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_by_county_ra__k8wy_p9cg

• Dataset ID: k8wy-p9cg

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, county, covid-19, deaths, hispanic origin, mortality, nchs, nvss, provisional, race, sdoh-environmental, united states

• Source Data: https://data.cdc.gov/d/k8wy-p9cg

Provisional COVID-19 Deaths by Sex and Age

• Description: 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 sex, age group, and jurisdiction of occurrence.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_by_sex_age__9bhg_hcku

• Dataset ID: 9bhg-hcku

• Category: National Center for Health Statistics

• Tags: age, age group, coronavirus, covid-19, deaths, influenza, monthly, mortality, nchs, nvss, pneumonia, provisional, puerto rico, sex, state, united states, yearly

• Source Data: https://data.cdc.gov/d/9bhg-hcku

Provisional COVID-19 Death Counts by Week Ending Date and State

• Description: Effective September 27, 2023, this dataset will be updated weekly on Thursdays. Deaths involving COVID-19, pneumonia, and influenza reported to NCHS by week ending date and by state

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_by_week_endi__r8kw_7aab

• Dataset ID: r8kw-7aab

• Category: National Center for Health Statistics

• Tags: monthly, all causes, coronavirus, covid-19, deaths, influenza, mortality, nchs, nvss, pneumonia, provisional, puerto rico, state, united states, weekly, yearly

• Source Data: https://data.cdc.gov/d/r8kw-7aab

Provisional COVID-19 Deaths by Week, Sex, and Age

• Description: Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html). Deaths involving COVID-19 reported to NCHS by sex and age group and week ending date.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_by_week_sex___vsak_wrfu

• Dataset ID: vsak-wrfu

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, mortality, nchs, nvss, provisional, sex, united states, weekly

• Source Data: https://data.cdc.gov/d/vsak-wrfu

Provisional COVID-19 Deaths by HHS Region, Race, and Age

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Deaths involving COVID-19 reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group. United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_hhs_race_age__tpcp_uiv5

• Dataset ID: tpcp-uiv5

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, children, coronavirus, covid-19, deaths, hhs region, hispanic origin, mortality, nchs, nvss, provisional, puerto rico, race, united states, weekly

• Source Data: https://data.cdc.gov/d/tpcp-uiv5

Provisional COVID-19 Deaths by Place of Death and Age

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Deaths involving COVID-19, influenza, and pneumonia reported to NCHS by jurisdiction of occurrence, place of death, and age group.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_place_age__4va6_ph5s

• Dataset ID: 4va6-ph5s

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, influenza, monthly, mortality, nchs, nvss, place of death, pneumonia, provisional, puerto rico, state, united states, yearly

• Source Data: https://data.cdc.gov/d/4va6-ph5s

Provisional COVID-19 Deaths by Place of Death and State

• Description: Effective June 28, 2023, this dataset will no longer be updated. Data deaths by place of death are available in this dataset https://data.cdc.gov/NCHS/d/4va6-ph5s. Deaths involving COVID-19, pneumonia and influenza reported to NCHS by place of death and state, United States.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_place_state__uggs_hy5q

• Dataset ID: uggs-hy5q

• Category: National Center for Health Statistics

• Tags: coronavirus, covid-19, deaths, influenza, monthly, mortality, nchs, nvss, place of death, pneumonia, provisional, puerto rico, state, united states, yearly

• Source Data: https://data.cdc.gov/d/uggs-hy5q

Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_race_hispani__ks3g_spdg

• Dataset ID: ks3g-spdg

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, hispanic origin, influenza, mortality, nchs, nvss, pneumonia, provisional, puerto rico, race, state, united states

• Source Data: https://data.cdc.gov/d/ks3g-spdg

Provisional COVID-19 Deaths: Distribution of Deaths by Race and Hispanic Origin

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. This data file contains the following indicators that can be used to illustrate potential differences in the burden of deaths due to COVID-19 according to race and ethnicity: count of COVID-19 deaths, distribution of COVID-19 deaths, unweighted distribution of population, and weighted distribution of population.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_race_hispani__pj7m_y5uh

• Dataset ID: pj7m-y5uh

• Category: National Center for Health Statistics

• Tags: coronavirus, covid-19, deaths, hispanic origin, mortality, nchs, nvss, provisional, race, state, united states

• Source Data: https://data.cdc.gov/d/pj7m-y5uh

Provisional COVID-19 Deaths by Week and County Social Vulnerability Index

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Deaths involving COVID-19 reported to NCHS by week and county Social Vulnerability Index (SVI) in the United States. SVI scores are from CDC/ASTDR's Geospatial Research, Analysis & Service Program 2018 database. These scores range from 0 to 1, and categorized as low (0-0.333), moderate (0.334-0.666) or high (0.667-1). More information on SVI can be found here: https://www.atsdr.cdc.gov/placeandhealth/svi/index.html

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_week_county___9hdi_ekmb

• Dataset ID: 9hdi-ekmb

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, covid-19, deaths, mortality, nchs, nvss, provisional, sdoh-environmental, social vulnerability index, united states, weekly

• Source Data: https://data.cdc.gov/d/9hdi-ekmb

Provisional COVID-19 Deaths by Week and Urbanicity

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Provisional COVID-19 deaths by urbanicity and week. Deaths are based on the county of occurrence in the United States. Urbanicity is defined as metropolitan and non-metropolitan, based on the 2013 National Center for Health Statistics (NCHS) Urban-Rural Classification Scheme for Counties. Counties are classified as “metropolitan” if they are large central metro, large fringe metro, medium metro or small metro; and “non-metropolitan” if micropolitan or non-core.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_deaths_week_urbanic__hkhc_f7hg

• Dataset ID: hkhc-f7hg

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, covid-19, deaths, mortality, nchs, nvss, provisional, united states, urbanicity, weekly

• Source Data: https://data.cdc.gov/d/hkhc-f7hg

Provisional COVID-19 death counts and rates, by jurisdiction of residence and demographic characteristics

• Description: This file contains COVID-19 death counts and rates by jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_death_counts_rates___dmnu_8erf

• Dataset ID: dmnu-8erf

• Category: National Center for Health Statistics

• Tags: coronavirus, covid-19, death rate, deaths, hhs region, mortality, nchs, nvss, united states, weekly

• Source Data: https://data.cdc.gov/d/dmnu-8erf

Provisional COVID-19 death counts, rates, and percent of total deaths, by jurisdiction of residence

• Description: This file contains COVID-19 death counts, death rates, and percent of total deaths by jurisdiction of residence. The data is grouped by different time periods including 3-month period, weekly, and total (cumulative since January 1, 2020). United States death counts and rates include the 50 states, plus the District of Columbia and New York City. New York state estimates exclude New York City. Puerto Rico is included in HHS Region 2 estimates. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across states. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rates are based on deaths occurring in the specified week/month and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly/monthly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly/monthly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_death_counts_rates___mpx5_t7tu

• Dataset ID: mpx5-t7tu

• Category: National Center for Health Statistics

• Tags: state, united states, puerto rico, nvss, nchs, mortality, hhs region, deaths, death rate, covid-19, coronavirus

• Source Data: https://data.cdc.gov/d/mpx5-t7tu

Provisional COVID-19 death counts and rates by month, jurisdiction of residence, and demographic characteristics

• Description: This file contains COVID-19 death counts and rates by month and year of death, jurisdiction of residence (U.S., HHS Region) and demographic characteristics (sex, age, race and Hispanic origin, and age/race and Hispanic origin). United States death counts and rates include the 50 states, plus the District of Columbia. Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1. Number of deaths reported in this file are the total number of COVID-19 deaths received and coded as of the date of analysis and may not represent all deaths that occurred in that period. Counts of deaths occurring before or after the reporting period are not included in the file. Data during recent periods are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction and cause of death. Death counts should not be compared across jurisdictions. Data timeliness varies by state. Some states report deaths on a daily basis, while other states report deaths weekly or monthly. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington. Rates were calculated using the population estimates for 2021, which are estimated as of July 1, 2021 based on the Blended Base produced by the US Census Bureau in lieu of the April 1, 2020 decennial population count. The Blended Base consists of the blend of Vintage 2020 postcensal population estimates, 2020 Demographic Analysis Estimates, and 2020 Census PL 94-171 Redistricting File (see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/2020-2021/methods-statement-v2021.pdf). Rate are based on deaths occurring in the specified week and are age-adjusted to the 2000 standard population using the direct method (see https://www.cdc.gov/nchs/data/nvsr/nvsr70/nvsr70-08-508.pdf). These rates differ from annual age-adjusted rates, typically presented in NCHS publications based on a full year of data and annualized weekly age-adjusted rates which have been adjusted to allow comparison with annual rates. Annualization rates presents deaths per year per 100,000 population that would be expected in a year if the observed period specific (weekly) rate prevailed for a full year. Sub-national death counts between 1-9 are suppressed in accordance with NCHS data confidentiality standards. Rates based on death counts less than 20 are suppressed in accordance with NCHS standards of reliability as specified in NCHS Data Presentation Standards for Proportions (available from: https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf.).

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_death_counts_rates___yrur_wghw

• Dataset ID: yrur-wghw

• Category: National Center for Health Statistics

• Tags: hhs region, age group, age, united states, sex, race, nvss, nchs, mortality, monthly, hispanic origin, covid-19, death rate, deaths, coronavirus

• Source Data: https://data.cdc.gov/d/yrur-wghw

Provisional COVID-19 Death Counts in the United States by County

• Description: Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html) Provisional count of deaths involving COVID-19 by county of occurrence, in the United States, 2020-2023.

• Schema: dwv_nchs_stats

• Table Name: provisional_covid19_death_counts_us_cou__kn79_hsxy

• Dataset ID: kn79-hsxy

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, county, covid-19, deaths, mortality, nchs, nvss, provisional, sdoh-environmental, united states

• Source Data: https://data.cdc.gov/d/kn79-hsxy

Provisional Percent of Deaths for COVID-19, Influenza, and RSV

• Description: This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.

• Schema: dwv_nchs_stats

• Table Name: provisional_deaths_covid_influenza_rsv__4bc2_bbpq

• Dataset ID: 4bc2-bbpq

• Category: National Center for Health Statistics

• Tags: coronavirus, covid19, deaths, influenza, mortality, nchs, nvss, respiratory-virus-response, rsv, united states, weekly

• Source Data: https://data.cdc.gov/d/4bc2-bbpq

Provisional Percent of Deaths for COVID-19, Influenza, and RSV by Select Characteristics

• Description: This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States, by sex, age group, and race and Hispanic origin. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.

• Schema: dwv_nchs_stats

• Table Name: provisional_deaths_covid_influenza_rsv___53g5_jf7x

• Dataset ID: 53g5-jf7x

• Category: National Center for Health Statistics

• Tags: coronavirus, covid-19, deaths, influenza, mortality, nchs, respiratory-virus-response, rsv, united-states, weekly

• Source Data: https://data.cdc.gov/d/53g5-jf7x

Provisional Death Counts for Coronavirus Disease (COVID-19)

• Description: This dataset is no longer updated. Please see the following datasets for recent data: Provisional COVID-19 Deaths by Week (https://data.cdc.gov/dataset/Provisional-COVID-19-Death-Counts-by-Week-Ending-D/r8kw-7aab/) Provisional COVID-19 Deaths by Sex, Age, and State (https://data.cdc.gov/NCHS/Provisional-COVID-19-Death-Counts-by-Sex-Age-and-S/9bhg-hcku)

• Schema: dwv_nchs_stats

• Table Name: provisional_death_counts_covid19__hc4f_j6nb

• Dataset ID: hc4f-j6nb

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, influenza, mortality, nchs, pneumonia, provisional, puerto rico, state, united states, weekly

• Source Data: https://data.cdc.gov/d/hc4f-j6nb

Provisional Death Counts for Influenza, Pneumonia, and COVID-19

• Description: Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.

• Schema: dwv_nchs_stats

• Table Name: provisional_death_counts_influenza_pneu__ynw2_4viq

• Dataset ID: ynw2-4viq

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, coronavirus, covid-19, deaths, hhs region, influenza, mortality, nchs, nvss, pneumonia, provisional, state, united states, weekly

• Source Data: https://data.cdc.gov/d/ynw2-4viq

Provisional Drug Overdose Deaths by Urban/Rural Classification Scheme for 12 month-ending December 2018-December 2020

• Description: National provisional drug overdose deaths by month and 2013 NCHS Urban–Rural Classification Scheme for Counties. Drug overdose deaths are identified using underlying cause-of-death codes from the Tenth Revision of ICD (ICD–10): X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), and Y10–Y14 (undetermined). Deaths are based on the county of residence in the United States. Death counts provided are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. Estimates for 2020 are based on provisional data. Estimates for 2018 and 2019 are based on final data. For more information on NCHS urban-rural classification, see: https://www.cdc.gov/nchs/data/series/sr_02/sr02_166.pdf

• Schema: dwv_nchs_stats

• Table Name: provisional_drug_overdose_deaths_urban___dtm2_meqi

• Dataset ID: dtm2-meqi

• Category: National Center for Health Statistics

• Tags: provisional, mortality, deaths, nchs, nvss, united states, monthly, drug overdose, all causes, urbanicity, sdoh-environmental

• Source Data: https://data.cdc.gov/d/dtm2-meqi

Provisional drug overdose death counts for specific drugs

• Description: This data presents counts of provisional drug overdose deaths by selected drugs and U.S. Department of Health and Human Services (HHS) public health regions, based on provisional mortality data from the National Vital Statistics System. This data is limited to drug overdose deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers X40-X44 (unintentional), X60-X64 (suicide), X85 (homicide), or Y10-Y14 (undetermined intent). Specific drugs were identified using methods for searching literal text from death certificates. The provisional data are based on a current flow of mortality data and include reported 12 month-ending provisional counts of drug overdose deaths by jurisdiction of occurrence and specified drug. Provisional drug overdose death counts presented on this page are for “12-month ending periods,” defined as the number of deaths occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2022 would include deaths occurring from July 1, 2021, through June 30, 2022. Evaluation of trends over time should compare estimates from year to year (June 2021 and June 2022), rather than month to month, to avoid overlapping time periods. It is important to note that the data represent counts of deaths, and not mortality ratios or rates, which are the standard measure used to compare groups, and therefore should not be used to determine populations at disproportionate risk of drug overdose death.

• Schema: dwv_nchs_stats

• Table Name: provisional_drug_overdose_death_counts___8hzs_zshh

• Dataset ID: 8hzs-zshh

• Category: National Center for Health Statistics

• Tags: deaths, drug overdose, hhs region, mortality, nchs, nvss, provisional, united states, vsrr

• Source Data: https://data.cdc.gov/d/8hzs-zshh

Reduced Access to Care During COVID-19

• Description: 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 reduced access to healthcare 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 questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations

• Schema: dwv_nchs_stats

• Table Name: reduced_access_care_covid19__th9n_ghnr

• Dataset ID: th9n-ghnr

• Category: National Center for Health Statistics

• Tags: covid-19, rands, sdoh-access-to-health-care, sdoh-higher-education, sdoh-high-school, sdoh-use-of-health-care

• Source Data: https://data.cdc.gov/d/th9n-ghnr

VSRR - State and National Provisional Counts for Live Births, Deaths, and Infant Deaths

• Description: NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. Data are provisional and are subject to monthly reporting variation. National data are calculated by summing the number of events reported by state of residence; counts are rounded to the nearest thousand (births and deaths) or hundred (infant deaths). Provisional counts may differ by approximately 2% from final counts, due to rounding and reporting variation. Additionally, the accuracy of the provisional counts may change over time. Data are estimates by state of residence. For discussion of the nature, source, and limitations of the data, see "Technical Notes" of the report, Births, Marriages, Divorces, and Deaths: Provisional Data for 2009. Available from URL: http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_25.htm. Final counts of births, deaths, and infant deaths for previous years can be obtained from http://wonder.cdc.gov. SOURCE: Provisional data from the National Vital Statistics System, National Center for Health Statistics, CDC.

• Schema: dwv_nchs_stats

• Table Name: state_national_provisional_counts_live___hmz2_vwda

• Dataset ID: hmz2-vwda

• Category: National Center for Health Statistics

• Tags: birth, deaths, monthly, mortality, nchs, nvss, provisional, puerto rico, state, united states, vsrr

• Source Data: https://data.cdc.gov/d/hmz2-vwda

Telemedicine Use in the Last 4 Weeks

• Description: To rapidly monitor recent changes in the use of telemedicine, the National Center for Health Statistics (NCHS) and the Health Resources and Services Administration’s Maternal and Child Health Bureau (HRSA MCHB) partnered with the Census Bureau on an experimental data system called the Household Pulse Survey. This 20-minute online survey was designed to complement the ability of the federal statistical system to rapidly respond and provide relevant information about the impact of the coronavirus pandemic in the U.S. The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of the COVID-19 pandemic on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

• Schema: dwv_nchs_stats

• Table Name: telemedicine_use_last4weeks__h7xa_837u

• Dataset ID: h7xa-837u

• Category: National Center for Health Statistics

• Tags: covid-19, sdoh-use-of-health-care, telemedicine

• Source Data: https://data.cdc.gov/d/h7xa-837u

DEV DQS Death rates for heart disease, by sex, race, Hispanic origin, and age: United States from CDC WONDER

• Description: Data on death rates for diseases of heart in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. 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.

• Schema: dwv_nchs_stats

• Table Name: us_cdc_death_rates_heart_disease_xplana__7aq9_prdf

• Dataset ID: 7aq9-prdf

• Category: National Center for Health Statistics

• Tags: health status and determinants, women, white, native hawaiian or other pacific islander, mortality, men, hispanic or latino, heart disease, health us, asian, death rates, american indian or alaska native, black or african american

• Source Data: https://data.cdc.gov/d/7aq9-prdf

DEV DQS Drug overdose death rates, by drug type, sex, age, race, and Hispanic origin: United States from CDC WONDER

• Description: Data on drug overdose death rates in the United States, by age, sex, race, Hispanic origin, and drug type. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. 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.

• Schema: dwv_nchs_stats

• Table Name: us_cdc_drug_overdose_death_rates_xplana__rdjz_vn2n

• Dataset ID: rdjz-vn2n

• Category: National Center for Health Statistics

• Tags: death rates, drug overdose, opioid, white, black or african american, american indian or alaska native, hispanic or latino, asian, native hawaiian or other pacific islander, men, women, health us, health status and determinants

• Source Data: https://data.cdc.gov/d/rdjz-vn2n

DEV DQS Death rates for suicide, by sex, race, Hispanic origin, and age: United States from CDC WONDER

• Description: Data on death rates for suicide in the United States, by age, sex, race, and Hispanic origin. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Vital Statistics System, Mortality File. Search, visualize, and download these and other estimates from over 150 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

• Schema: dwv_nchs_stats

• Table Name: us_death_rates_suicide_xplanation_is_re__w26f_tf3h

• Dataset ID: w26f-tf3h

• Category: National Center for Health Statistics

• Tags: men, hispanic or latino, health united states (hus), health status and determinants, death rates, american indian or alaska native, asian, black or african american, women, white, suicide, native hawaiian or other pacific islander, national vital statistics system (nvss), mental health

• Source Data: https://data.cdc.gov/d/w26f-tf3h

DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States

• Description: Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics. 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.

• Schema: dwv_nchs_stats

• Table Name: us_hospital_admissions_avg_length_stay___rear_2epk

• Dataset ID: rear-2epk

• Category: National Center for Health Statistics

• Tags: american hospital association, community hospitals, federal hospitals, health care use, health us, hospital, hospital admissions, hospital ownership, hospital size, length of hospital stay, outpatient surgery, outpatient visits, sdoh-access-to-health-care, sdoh-use-of-health-care

• Source Data: https://data.cdc.gov/d/rear-2epk

DEV DQS Hospital admission, average length of stay, outpatient visits, and outpatient surgery by type of ownership and size of hospital: United States

• Description: Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital Statistics. 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.

• Schema: dwv_nchs_stats

• Table Name: us_hospital_admission_length_outpatient__4q35_rqzk

• Dataset ID: 4q35-rqzk

• Category: National Center for Health Statistics

• Tags: health us, hospital, sdoh-access-to-health-care, length of hospital stay, american hospital association, outpatient visits, healthcare access and utilization, health care use, hospital size, sdoh-use-of-health-care, community hospitals, federal hospitals, outpatient surgery, hospital admissions, hospital ownership

• Source Data: https://data.cdc.gov/d/4q35-rqzk

DEV DQS Infant, neonatal, and postneonatal mortality rates, by detailed race and Hispanic origin of mother: United States

• Description: Data on infant, neonatal, and postneonatal mortality rates in the United States, by detailed race and Hispanic origin of mother. Data are from Health, United States. Source: National Center for Health Statistics, National Vital Statistics System, Linked Birth/Infant Death Data Set. 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.

• Schema: dwv_nchs_stats

• Table Name: us_infant_mortality_rates_race_hispanic__j7ym_uwqy

• Dataset ID: j7ym-uwqy

• Category: National Center for Health Statistics

• Tags: asian, american indian or alaska native, white, single race, race and hispanic origin of mother, puerto rican, postneonatal mortality, postneonatal deaths, nvss, non-hispanic, neonatal mortality, neonatal deaths, native hawaiian or other pacific islander, national vital statistics system, mortality rates, mexican, linked birth infant death data set, infant mortality, infant deaths, hispanic, health us, health status and determinants, cuban, central and south american, bridged race, black, asian or pacific islander

• Source Data: https://data.cdc.gov/d/j7ym-uwqy

U.S. Life Expectancy at Birth by State and Census Tract - 2010-2015

• Description: This dataset includes estimates of U.S. life expectancy at birth by state and census tract for the period 2010-2015 (1). Estimates were produced for 65,662 census tracts, covering the District of Columbia (D.C.) and all states, excluding Maine and Wisconsin, representing 88.7% of all U.S. census tracts (see notes). These estimates are the result of the collaborative project, “U.S. Small-area Life Expectancy Estimates Project (USALEEP),” between the National Center for Health Statistics (NCHS), the National Association for Public Health Statistics and Information Systems (NAPHSIS), and the Robert Wood Johnson Foundation (RWJF) (2).

• Schema: dwv_nchs_stats

• Table Name: us_life_expectancy_by_state_census_trac__5h56_n989

• Dataset ID: 5h56-n989

• Category: National Center for Health Statistics

• Tags: birth, census tract, county, life expectancy, nchs, nvss, state, united states

• Source Data: https://data.cdc.gov/d/5h56-n989

DEV DQS Prescription drug use in the past 30 days, by sex, race and Hispanic origin, and age group: United States

• Description: Data on prescription drug use in the past 30 days in the United States, by sex, race and Hispanic origin, and age group. Data are from Health, United States. SOURCE: National Center for Health Statistics, National Health and Nutrition Examination 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.

• Schema: dwv_nchs_stats

• Table Name: us_prescription_drug_use_past_30days_se__kusj_ex57

• Dataset ID: kusj-ex57

• Category: National Center for Health Statistics

• Tags: non-hispanic white, sdoh-use-of-health-care, prescriptions, prescription drugs, non-hispanic asian, national health and nutrition examination survey, mexican, male, hispanic, health us, health care use, healthcare access and utilization, female

• Source Data: https://data.cdc.gov/d/kusj-ex57

U.S. State Life Expectancy by Sex, 2018

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: us_state_life_expectancy_by_sex_2018__a5a8_jsrq

• Dataset ID: a5a8-jsrq

• Category: National Center for Health Statistics

• Tags: deaths, life expectancy, mortality, nchs, nvss, sex, state, united states

• Source Data: https://data.cdc.gov/d/a5a8-jsrq

U.S. State Life Expectancy by Sex, 2019

• Description: 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 2019 for the total, male and female populations.

• Schema: dwv_nchs_stats

• Table Name: us_state_life_expectancy_by_sex_2019__ncvk_7amm

• Dataset ID: ncvk-7amm

• Category: National Center for Health Statistics

• Tags: deaths, life expectancy, mortality, nchs, nvss, sex, state, united states

• Source Data: https://data.cdc.gov/d/ncvk-7amm

U.S. State Life Expectancy by Sex, 2020

• Description: 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 2020 for the total, male and female populations.

• Schema: dwv_nchs_stats

• Table Name: us_state_life_expectancy_by_sex_2020__ss2j_8ajj

• Dataset ID: ss2j-8ajj

• Category: National Center for Health Statistics

• Tags: deaths, life expectancy, mortality, nchs, nvss, sex, state, united states

• Source Data: https://data.cdc.gov/d/ss2j-8ajj

U.S. State Life Expectancy by Sex, 2021

• Description: 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 2021 for the total, male and female populations.

• Schema: dwv_nchs_stats

• Table Name: us_state_life_expectancy_by_sex_2021_he__it4f_frdc

• Dataset ID: it4f-frdc

• Category: National Center for Health Statistics

• Tags: deaths, life expectancy, mortality, nchs, nvss, sex, state, united states

• Source Data: https://data.cdc.gov/d/it4f-frdc

DEV DQS Use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders, by sex and race: United States

• Description: Data on use of selected substances in the past 30 days among 12th graders, 10th graders, and 8th graders in the United States, by sex and race. Data are from Health, United States. Source: Monitoring the Future, Institute for Social Research, University of Michigan, supported by National Institutes of Health, National Institute on Drug Abuse. 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.

• Schema: dwv_nchs_stats

• Table Name: us_substance_use_dqs_30day_grade_sex_ra__v3ih_gzx4

• Dataset ID: v3ih-gzx4

• Category: National Center for Health Statistics

• Tags: marijuana vaping, white, cocaine, cigarettes, black, binge drinking, alcohol, 8th grade, 12th grade, 10th grade, vaping, tobacco use, substance use among students, substance use, students, smoking, sdoh-high-school, nicotine vaping, national institute on drug abuse, monitoring the future, molly, health us, drug use, inhalants, male, marijuana, health status and determinants, female, ecstacy, e-cigarette use, drug use among students, mdma

• Source Data: https://data.cdc.gov/d/v3ih-gzx4

Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: us_visits_physician_offices_outpatient___xt86_xqxz

• Dataset ID: xt86-xqxz

• Category: National Center for Health Statistics

• Tags: african americans, age, continental population groups, disasters, emergency service, european continental ancestry group, health us, hospital, hospitals, outpatients, physicians, physicians' offices, sdoh-use-of-health-care, sex

• Source Data: https://data.cdc.gov/d/xt86-xqxz

VSRR Provisional County-Level Drug Overdose Death Counts

• Description: This data visualization presents county-level provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. County-level provisional counts include deaths occurring within the 50 states and the District of Columbia, as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts (see Technical Notes). The provisional data presented on the dashboard below include reported 12 month-ending provisional counts of death due to drug overdose by the decedent’s county of residence and the month in which death occurred. Percentages of deaths with a cause of death pending further investigation and a note on historical completeness (e.g. if the percent completeness was under 90% after 6 months) are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts (see Technical Notes). Counts between 1-9 are suppressed in accordance with NCHS confidentiality standards. Provisional data presented on this page will be updated on a quarterly basis as additional records are received. Technical Notes Nature and Sources of Data Provisional drug overdose death counts are based on death records received and processed by the National Center for Health Statistics (NCHS) as of a specified cutoff date. The cutoff date is generally the first Sunday of each month. National provisional estimates include deaths occurring within the 50 states and the District of Columbia. NCHS receives the death records from the state vital registration offices through the Vital Statistics Cooperative Program (VSCP). The timeliness of provisional mortality surveillance data in the National Vital Statistics System (NVSS) database varies by cause of death and jurisdiction in which the death occurred. The lag time (i.e., the time between when the death occurred and when the data are available for analysis) is longer for drug overdose deaths compared with other causes of death due to the time often needed to investigate these deaths (1). Thus, provisional estimates of drug overdose deaths are reported 6 months after the date of death. Provisional death counts presented in this data visualization are for “12 month-ending periods,” defined as the number of deaths occurring in the 12 month period ending in the month indicated. For example, the 12 month-ending period in June 2020 would include deaths occurring from July 1, 2019 through June 30, 2020. The 12 month-ending period counts include all seasons of the year and are insensitive to reporting variations by seasonality. These provisional counts of drug overdose deaths and related data quality metrics are provided for public health surveillance and monitoring of emerging trends. Provisional drug overdose death data are often incomplete, and the degree of completeness varies by jurisdiction and 12 month-ending period. Consequently, the numbers of drug overdose deaths are underestimated based on provisional data relative to final data and are subject to random variation. Cause of Death Classification and Definition of Drug Deaths Mortality statistics are compiled in accordance with the World Health Organizations (WHO) regulations specifying that WHO member nations classify and code causes of death with the current revision of the International Statistical Classification of Diseases and Related Health Problems (ICD). ICD provides the basic guidance used in virtually all countries to code and classify causes of death. It provides not only disease, injury, and poisoning categories but also the rules used to select the single underlying cause of death for tabulation from the several diagnoses that may be reported on a single death certificate, as well as definitions, tabulation lists, the format of the death certificate, and regul

• Schema: dwv_nchs_stats

• Table Name: vsrr_provisional_county_drug_overdose_d__gb4e_yj24

• Dataset ID: gb4e-yj24

• Category: National Center for Health Statistics

• Tags: county, deaths, drug, drug overdose, monthly, mortality, nchs, nvss, provisional, sdoh-environmental, united states, vsrr

• Source Data: https://data.cdc.gov/d/gb4e-yj24

VSRR Provisional Drug Overdose Death Counts

• Description: This data presents provisional counts for drug overdose deaths based on a current flow of mortality data in the National Vital Statistics System. Counts for the most recent final annual data are provided for comparison. National provisional counts include deaths occurring within the 50 states and the District of Columbia as of the date specified and may not include all deaths that occurred during a given time period. Provisional counts are often incomplete and causes of death may be pending investigation resulting in an underestimate relative to final counts. To address this, methods were developed to adjust provisional counts for reporting delays by generating a set of predicted provisional counts. Several data quality metrics, including the percent completeness in overall death reporting, percentage of deaths with cause of death pending further investigation, and the percentage of drug overdose deaths with specific drugs or drug classes reported are included to aid in interpretation of provisional data as these measures are related to the accuracy of provisional counts. Reporting of the specific drugs and drug classes involved in drug overdose deaths varies by jurisdiction, and comparisons of death rates involving specific drugs across selected jurisdictions should not be made. Provisional data presented will be updated on a monthly basis as additional records are received. For more information please visit: https://www.cdc.gov/nchs/nvss/vsrr/drug-overdose-data.htm

• Schema: dwv_nchs_stats

• Table Name: vsrr_provisional_drug_overdose_death_co__xkb8_kh2a

• Dataset ID: xkb8-kh2a

• Category: National Center for Health Statistics

• Tags: methadone, drug overdose, nvss, opiate, opioid, provisional, psychostimulants, state, united states, vsrr, drug, deaths, cocaine, nchs, mortality, monthly, heroin

• Source Data: https://data.cdc.gov/d/xkb8-kh2a

VSRR Provisional Maternal Death Counts and Rates

• Description: This data presents national-level provisional maternal mortality rates based on a current flow of mortality and natality data in the National Vital Statistics System. Provisional rates which are an early estimate of the number of maternal deaths per 100,000 live births, are shown as of the date specified and may not include all deaths and births that occurred during a given time period (see Technical Notes). A maternal death is the death of a woman while pregnant or within 42 days of termination of pregnancy irrespective of the duration and the site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management, but not from accidental or incidental causes. In this data visualization, maternal deaths are those deaths with an underlying cause of death assigned to International Statistical Classification of Diseases, 10th Revision (ICD-10) code numbers A34, O00–O95, and O98–O99. The provisional data include reported 12 month-ending provisional maternal mortality rates overall, by age, and by race and Hispanic origin. Provisional maternal mortality rates presented in this data visualization are for “12-month ending periods,” defined as the number of maternal deaths per 100,000 live births occurring in the 12-month period ending in the month indicated. For example, the 12-month ending period in June 2020 would include deaths and births occurring from July 1, 2019, through June 30, 2020. Evaluation of trends over time should compare estimates from year to year (June 2020 and June 2021), rather than month to month, to avoid overlapping time periods. In the visualization and in the accompanying data file, rates based on death counts less than 20 are suppressed in accordance with current NCHS standards of reliability for rates. Death counts between 1-9 in the data file are suppressed in accordance with National Center for Health Statistics (NCHS) confidentiality standards. Provisional data presented on this page will be updated on a quarterly basis as additional records are received. Previously released estimates are revised to include data and record updates received since the previous release. As a result, the reliability of estimates for a 12-month period ending with a specific month will improve with each quarterly release and estimates for previous time periods may change as new data and updates are received.

• Schema: dwv_nchs_stats

• Table Name: vsrr_provisional_maternal_death_counts___e2d5_ggg7

• Dataset ID: e2d5-ggg7

• Category: National Center for Health Statistics

• Tags: age, age group, death rates, deaths, hispanic origin, maternal causes, mortality, nchs, nvss, provisional, race, united states

• Source Data: https://data.cdc.gov/d/e2d5-ggg7

Weekly Counts of Deaths by Jurisdiction and Age

• Description: 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 age group. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected.

• Schema: dwv_nchs_stats

• Table Name: weekly_counts_deaths_jurisdiction_age__y5bj_9g5w

• Dataset ID: y5bj-9g5w

• Category: National Center for Health Statistics

• Tags: age, age group, all causes, deaths, mortality, nchs, nvss, provisional, puerto rico, state, united states, weekly

• Source Data: https://data.cdc.gov/d/y5bj-9g5w

Weekly Counts of Deaths by Jurisdiction, and Race and Hispanic Origin

• Description: 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.

• Schema: dwv_nchs_stats

• Table Name: weekly_counts_deaths_jurisdiction_race___qfhf_uhaa

• Dataset ID: qfhf-uhaa

• Category: National Center for Health Statistics

• Tags: all causes, coronavirus, covid-19, deaths, hispanic origin, mortality, nchs, nvss, provisional, puerto rico, race, state, united states, weekly

• Source Data: https://data.cdc.gov/d/qfhf-uhaa

Weekly Counts of Death by Jurisdiction and Select Causes of Death

• Description: 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 by jurisdiction of occurrence and cause of death. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected. Selected causes of death are shown, based on analyses of the most prevalent comorbid conditions reported on death certificates where COVID-19 was listed as a cause of death (see https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities). Cause of death counts are based on the underlying cause of death, and presented for Respiratory diseases, Circulatory diseases, Malignant neoplasms, and Alzheimer disease and dementia. Estimated numbers of deaths due to these other causes of death could represent misclassified COVID-19 deaths, or potentially could be indirectly related to COVID-19 (e.g., deaths from other causes occurring in the context of health care shortages or overburdened health care systems). Deaths with an underlying cause of death of COVID-19 are not included in these estimates of deaths due to other causes. Deaths due to external causes (i.e. injuries) or unknown causes are excluded. For more detail, see the Technical Notes.

• Schema: dwv_nchs_stats

• Table Name: weekly_count_deaths_jurisdiction_causes__u6jv_9ijr

• Dataset ID: u6jv-9ijr

• Category: National Center for Health Statistics

• Tags: alzheimer disease, cancer, causes of death, cerebrovascular disease, chronic lower respiratory disease, circulatory disease, deaths, dementia, diabetes, heart failure, hypertensive disease, influenza, ischemic heart disease, mortality, nchs, nvss, pneumonia, provisional, puerto rico, renal failure, respiratory disease, septicemia, state, united states, weekly

• Source Data: https://data.cdc.gov/d/u6jv-9ijr

Weekly counts of deaths from all causes by jurisdiction, 2015-2019

• Description: This dataset includes the number of deaths from all causes by week in which the death occurred and by jurisdiction, from 2015 to 2019, United States and Puerto Rico.

• Schema: dwv_nchs_stats

• Table Name: weekly_deaths_count_jurisdiction_2015_2__9cpv_whbv

• Dataset ID: 9cpv-whbv

• Category: National Center for Health Statistics

• Tags: all causes, deaths, mortality, nchs, nvss, puerto rico, state, united states, weekly

• Source Data: https://data.cdc.gov/d/9cpv-whbv

Weekly Counts of Deaths by State and Select Causes, 2014-2019

• Description: Final counts of deaths by the week the deaths occurred, by state of occurrence, and by select causes of death for 2014-2019. Death counts in this dataset were derived from the National Vital Statistics System database that provides the most timely access to the data. Therefore, counts may differ slightly from final data due to differences in processing, recoding, and imputation.

• Schema: dwv_nchs_stats

• Table Name: weekly_deaths_count_state_causes_2014_2__3yf8_kanr

• Dataset ID: 3yf8-kanr

• Category: National Center for Health Statistics

• Tags: all causes, alzheimer disease, cancer, causes of death, cerebrovascular disease, chronic lower respiratory disease, deaths, diabetes, diseases of heart, influenza, kidney disease, mortality, natural cause, nchs, nvss, pneumonia, puerto rico, respiratory disease, septicemia, state, united states, weekly

• Source Data: https://data.cdc.gov/d/3yf8-kanr

Weekly Provisional Counts of Deaths by State and Select Causes, 2020-2023

• Description: Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov. Provisional counts of deaths by the week the deaths occurred, by state of occurrence, and by select underlying causes of death for 2020-2023. The dataset also includes weekly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death. NOTE: death counts are presented with a one week lag.

• Schema: dwv_nchs_stats

• Table Name: weekly_provisional_deaths_by_state_caus__muzy_jte6

• Dataset ID: muzy-jte6

• Category: National Center for Health Statistics

• Tags: all causes, alzheimer disease, cancer, causes of death, cerebrovascular disease, chronic lower respiratory disease, coronavirus, covid-19, deaths, diabetes, diseases of heart, influenza, kidney disease, mortality, natural cause, nchs, nvss, pneumonia, provisional, puerto rico, respiratory disease, septicemia, state, united states, weekly

• Source Data: https://data.cdc.gov/d/muzy-jte6