The American Health Values Survey was conducted by the National Opinion Research Center (NORC) at the University of Chicago in order to develop a typology of Americans based on their health values and beliefs. The survey examined values and beliefs related to health at both the individual as well as societal levels. The survey assessed the importance of health in day-to-day personal life (i.e. the amount of effort spent on disease prevention as well as appropriate seeking of medical care); equity, the value placed on the opportunity to succeed generally in life as well as on health equity; social solidarity, the importance of taking into account the needs of others as well as personal needs; health care disparities, views about how easy/hard it is for African Americans, Latinos and low-income Americans to get quality health care; and, the importance of the social determinants of health. In addition, the survey also explored views about how active government should be in health; collective efficacy, the ease of affecting positive community change by working with others; and health-related civic engagement e.g. the support of health charities and organizations working on health issues.

2014 - 2022 (excluding 2020). This dataset is a de-identified summary table of vision and eye health data indicators from ACS, stratified by all available combinations of age group, race/ethnicity, gender, and state. ACS is an annual nationwide survey conducted by the U.S. Census Bureau that collects information on demographic, social, economic, and housing characteristics of the U.S. population. Approximate sample size is 3 million annually. ACS data for VEHSS includes one question related to Visual Function. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Data will be updated as it becomes available. Detailed information on VEHSS ACS analyses can be found on the VEHSS ACS webpage (link). Additional information about ACS can be found on the U.S. Census Bureau website (https://www.census.gov/content/dam/Census/programs-surveys/acs/about/ACS_Information_Guide.pdf). The VEHSS ACS dataset was last updated April 2024

This survey focuses on Americans perception of current health care and health insurance. Variables include access to health care, ability to secure health insurance, ability to pay, impact of employment choices, health care as issue in 1992 Presidential race, limits on choice of doctors and hospitals, and funding for national health care reform.

The Racial and Ethnic Approaches to Community Health (REACH) program is a Centers for Disease Control and Prevention (CDC) effort to eliminate ethnic and racial health disparities. The REACH US Risk Factor Survey was conducted annually between 2009 and 2013 in order to monitor progress and achievements in the REACH US program. Survey participants were recruited from 28 REACH US grantee communities to gather health-related information in areas where community health interventions were taking place.

Adults aged 18 years or older in the REACH communities completed surveys by phone, mail, or in-person. Communities surveyed were located in Arizona, California, Georgia, Hawaii, Illinois, Massachusetts, New Mexico, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Virginia, Washington, and West Virginia. Approximately 1,000 surveys were conducted in each of the 28 communities during each of the four years.

Graph and download economic data for All Employees, Home Health Care Services (CEU6562160001) from Jan 1985 to Jun 2025 about health, establishment survey, education, services, employment, and USA.

This statistic shows the results of a survey conducted in the United States in March 2017. U.S. health care workers were asked if they were interested in the topic of e-health. About 35 percent of surveyed U.S. health care workers are very interested in the topic of e-health.

sflagg/Kaggle-Mental-Health-Survey-Data dataset hosted on Hugging Face and contributed by the HF Datasets community

The COVID-19 pandemic and consequent social and economic impacts have instilled a sense of fear and anxiety around the globe, potentially leading to short- and long-term psychosocial and mental health implications for the broader population. Although the threat of the virus and pandemic effects are real for all Americans, Asian Americans bear the additional burden of elevated anti-Asian sentiments and attacks. Such experiences of racial discrimination may act as a chronic social stressor that exacerbates adverse mental health among Asian Americans. Asian American adolescents and youth may be especially vulnerable to mental health consequences due to their exposure to multiple stressors associated with the COVID-19 pandemic, such as increased social isolation, family financial strain, and increased social media use, as well as fear for their own safety as they become direct targets of anti-Asian hate crimes. Out of the 2,499 self-reported hate incidents to Stop AAPI Hate in the first 18 weeks of the pandemic, 16% of cases involved youth. Within these reports, 81% of youth described experiencing some kind of bullying or verbal harassment from their peers, 24% experienced social rejection, and 8% were physically assaulted. While studies have shown that sharing experiences of discrimination with others and receiving emotional support from peers can be effective coping strategies, Asian Americans adolescents and youth may currently lack opportunities to seek and benefit from social support due to the isolating nature of the pandemic and enduring mental health stigma within the Asian American community. This study is designed to: 1. Understand the mental well-being of Asian American adolescents and youth (aged 15–24 years) given the increase in anti-Asian racism and violence in the United States. 2. Determine the relationship between the state of Asian American adolescents and youth mental health and exposures to anti-Asian violent incident(s) (e.g., vandalism, physical and verbal attacks) or online content and reports of anti-Asian violence (e.g. news, videos, etc.) 3. Understand the present coping mechanisms utilized by Asian American adolescents and youth under the current climate. We hypothesize that Asian American adolescents and youth are experiencing increased levels of mental illness symptoms correlated with the surge in anti-Asian hate crimes and violence over the past year. The overall goal is to illuminate how the swelling of anti-Asian violence is affecting the next generation of Asian Americans. We believe our results could be useful to arm policymakers, health professionals, and the Asian American community with the right data and evidence so that they can design culturally- and age-appropriate policies and interventions to support adolescents and youth during this crisis.

The New York City Community Health Survey (CHS) is a telephone survey conducted annually by the DOHMH, Division of Epidemiology, Bureau of Epidemiology Services. CHS provides robust data on the health of New Yorkers, including neighborhood, borough, and citywide estimates on a broad range of chronic diseases and behavioral risk factors. The data are analyzed and disseminated to influence health program decisions, and increase the understanding of the relationship between health behavior and health status. For more information see EpiQuery, https://a816-health.nyc.gov/hdi/epiquery/visualizations?PageType=ps&PopulationSource=CHS

This dataset includes select data from the U.S. Census Bureau's American Community Survey (ACS) on the percent of adults who bike or walk to work. This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about ACS visit https://www.census.gov/programs-surveys/acs/.

2019–present. The National Health Interview Survey (NHIS) is a nationally representative household health survey of the U.S. civilian noninstitutionalized population. The NHIS data are used to monitor trends in illness and disability, track progress toward achieving national health objectives, for epidemiologic and policy analysis of various health problems, determining barriers to accessing and using appropriate health care, and evaluating Federal health programs. NHIS is conducted continuously throughout the year by the National Center for Health Statistics (NCHS). Public-use data files on adults and children with corresponding imputed income data files, and survey paradata are released annually. The NHIS data website (https://www.cdc.gov/nchs/nhis/documentation/index.html) features the most up-to-date public-use data files and documentation for downloading including questionnaire, codebooks, CSV and ASCII data files, programs and sample code, and in-depth survey description. Most of the NHIS data are included in the public use files. NHIS is protected by Federal confidentiality laws that state the data collected by NCHS may be used only for statistical reporting and analysis. Some NHIS variables have been suppressed or edited in the public use files to protect confidentiality. Analysts interested in using data that has been suppressed or edited may apply for access through the NCHS Research Data Center at https://www.cdc.gov/rdc/. In 2019, NHIS launched a redesigned content and structure that differs from its previous questionnaire designs. NHIS has been conducted continuously since 1957.

The National Survey of Children’s Health (NSCH) is sponsored by the Maternal and Child Health Bureau of the Health Resources and Services Administration, an Agency in the U.S. Department of Health and Human Services.The NSCH examines the physical and emotional health of children ages 0-17 years of age. Special emphasis is placed on factors related to the well-being of children. These factors include access to - and quality of - health care, family interactions, parental health, neighborhood characteristics, as well as school and after-school experiences.The NSCH is also designed to assess the prevalence and impact of special health care needs among children in the US and explores the extent to which children with special health care needs (CSHCN) have medical homes, adequate health insurance, access to needed services, and adequate care coordination. Other topics may include functional difficulties, transition services, shared decision-making, and satisfaction with care. Information is collected from parents or caregivers who know about the child's health.

A 2024 survey found that over half of U.S. individuals indicated the cost of accessing treatment was the biggest problem facing the national healthcare system. This is much higher than the global average of 32 percent and is in line with the high cost of health care in the U.S. compared to other high-income countries. Bureaucracy along with a lack of staff were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in the United States in 2024.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..The health insurance coverage category names were modified in 2010. See https://www.census.gov/topics/health/health-insurance/about/glossary.html#par_textimage_18 for a list of the insurance type definitions..Beginning in 2017, selected variable categories were updated, including age-categories, income-to-poverty ratio (IPR) categories, and the age universe for certain employment and education variables. See user note entitled "Health Insurance Table Updates" for further details..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

CMS is interested in linking MAX files with survey data, including four surveys conducted by the National Center for Health Statistics (NCHS) - the National Health Interview Survey (NHIS), the National Health and Nutrition Examination Survey (NHANES), the Second Longitudinal Study of Aging (LSOA II), and the National Nursing Home Survey (NNHS). In linking the MAX files to the NCHS survey data, CMS can combine the best source of data on Medicaid services with the best sources of data on health status and risk factors. The combined files can be extraordinarily valuable to researchers conducting comparative effectiveness research as well as to the wider health research community.

As of 2023, around 19 percent of U.S. adults were satisfied with the total healthcare cost in the United States, a significant decrease from the previous year. Also, this is much lower than the share of U.S. adults satisfied with their own cost for healthcare. This statistic illustrates the satisfaction and dissatisfaction of U.S. adults with the total cost of healthcare in the United States from 2002 to 2023.

The Decennial Census provides population estimates and demographic information on residents of the United States.

The Census Summary Files contain detailed tables on responses to the decennial census. Data tables in Summary File 1 provide information on population and housing characteristics, including cross-tabulations of age, sex, households, families, relationship to householder, housing units, detailed race and Hispanic or Latino origin groups, and group quarters for the total population. Summary File 2 contains data tables on population and housing characteristics as reported by housing unit.

Researchers at NYU Langone Health can find guidance for the use and analysis of Census Bureau data on the Population Health Data Hub (listed under "Other Resources"), which is accessible only through the intranet portal with a valid Kerberos ID (KID).

survey of diseases of corals on Tutuila and Ofu-Olosega with extensive descriptions and histology

Since 2007, the American Psychological Association (APA) has commissioned an annual nationwide survey as part of its Mind/Body Health campaign to examine the state of stress across the country and understand its impact. The Stress in America survey measures attitudes and perceptions of stress among the general public and identifies leading sources of stress, common behaviors used to manage stress and the impact of stress on our lives. The results of the survey draw attention to the serious physical and emotional implications of stress and the inextricable link between the mind and body. From 2007 to 2023, the research has documented this connection among the general public as well as various sub-segments of the public. Each year, the Stress in America surveys aims to uncover different aspects of the stress/health connection via focusing on a particular topic and/or subgroup of the population. Below is a list of the focus of each of the Stress in America surveys. 2007-2018 Cumulative Dataset 2007 General Population 2008 Gender and Stress 2009 Parent Perceptions of Children's Stress 2010 Health Impact of Stress on Children and Families 2011 Our Health Risk 2012 Missing the Health Care Connection 2013 Are Teens Adopting Adults' Stress Habits 2014 Paying With Our Health 2015 The Impact of Discrimination 2016 Coping with Change, Part 1 2016 Coping with Change, Part 2: Technology and Social Media 2017 The State of Our Nation 2018 Stress and Generation Z 2019-2023 Cumulative Dataset 2019 Stress and Current Events 2020 COVID Tracker Wave 1 2020 COVID Tracker Wave 2 2020 COVID Tracker Wave 3 2020 A National Mental Health Crisis 2021 Pandemic Anniversary Survey 2021 Stress and Decision-Making During the Pandemic 2022 Pandemic Anniversary Survey 2022 Concerned for the Future, Beset by Inflation 2023 A Nation Recovering From Collective Trauma

Data set of a follow-up study (one of four Established Populations for Epidemiologic Studies of the Elderly - EPESE) that obtains information on four primary outcome variables (cognitive status, depression, functional status, and mortality) and four primary independent variables (social support, social class, social location, and chronic illness); and examines the relationships between social factors and chronic disease on the one hand and health outcomes on the other. This data set complements the other three sites providing a population which is both urban and rural and contains approximately equal numbers of black and white participants across a broad socioeconomic base. The Duke site was originally funded by the NIA Epidemiology, Demography and Biometry Program (EDBP) to complete seven waves of data collection (three in-person and four telephone interviews) in order to examine the health of a sample of 4,162 persons aged 65+, and factors that influence their health and use of health services. The cohort was originally interviewed in 1986/87 and followed annually for 6 years thereafter. The study design consisted of a random stratified household sample with an over-sampling of blacks. Questionnaire topics include the following: Demographics, Alcohol Use, Independence, Health condition, Cognition, Personal mastery, Health Service Utilization, Activity of daily living, Social Support, Hearing and Vision, Incontinence, Social Interaction, Weight and Height, Smoking, Religion, Nutrition, Life Satisfaction, Self Esteem, Sleep, Medications, Economic Status, Depression, Life Changes, Blood pressure. National Death Index files have been searched and death certificates obtained for the members of this study. Sample members have been matched with Medicare Part A files to obtain information on hospitalizations, and will be matched on Medicare Part B (outpatient) files. Data from the first wave of the survey is in the public domain and can be obtained from NACDA or from the National Archives, Center for Electronic Records in Washington, DC. * Dates of Study: 1996-1997 * Study Features: Longitudinal, Oversampling * Sample Size: 1986-1988: 4,162 Links: * ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/02744 * National Archives: http://www.archives.gov/research/electronic-records/