Disability and Health Data System (DHDS) is an online source of state-level data on adults with disabilities. Users can access information on six functional disability types: cognitive (serious difficulty concentrating, remembering or making decisions), hearing (serious difficulty hearing or deaf), mobility (serious difficulty walking or climbing stairs), vision (serious difficulty seeing), self-care (difficulty dressing or bathing) and independent living (difficulty doing errands alone).

Users can download reports and data on disabilities in the United States. Background The National Health Interview Survey on Disability (NHIS-D) was a supplement to the National Health Interview Survey (NHIS), both conducted by the Centers for Disease Control and Prevention (CDC). The purpose of the survey was to gather information to better understand disability, to develop policies, and to gather statistics on a number of health conditions. There were 3 additional sections used exclusively to gather information about children with disabilities: spec ial health needs, special education, and early childhood development. User Functionality Users can download the following: Report on Disability, all the surveys (including the ones for children), the data analysis reports, and the data sets. Data can usually be viewed by age group. Links to resources are also provided on the site. Data NotesThe NHIS- D was conducted in 1994 and 1995.

Household Pulse Survey (HPS): HPS is a rapid-response survey of adults ages ≥18 years led by the U.S. Census Bureau, in partnership with seven other federal statistical agencies, to measure household experiences during the COVID-19 pandemic. Detailed information on probability sampling using the U.S. Census Bureau’s Master Address File, questionnaires, response rates, and bias assessment is available on the Census Bureau website (https://www.census.gov/data/experimental-data-products/household-pulse-survey.html). Data from adults ages ≥18 years and older are collected by a 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). Data are weighted to represent total persons ages 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Data from adults ages ≥18 years and older are collected by 20-minute online survey from randomly sampled households stratified by state and the top 15 metropolitan statistical areas (MSAs). For more information on this survey, see https://www.census.gov/programs-surveys/household-pulse-survey.html. Data are weighted to represent total persons ages 18 and older living within households and to mitigate possible bias that can result from non-responses and incomplete survey frame. Responses in the Household Pulse Survey (https://www.census.gov/programs-surveys/household-pulse-survey.html) are self-reported. Estimates of vaccination coverage may differ from vaccine administration data reported at COVID-19 Vaccinations in the United States (https://covid.cdc.gov/covid-data-tracker/#vaccinations).

sde_grasp_svi_2018.sde.SVI2018_US_tract

From the CDC Places page on ArcGIS:

PLACES (Population Level Analysis and Community Estimates) is an expansion of the original 500 Cities project and is a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation, and the CDC Foundation. The original 500 Cities Project provided city- and census tract-level estimates for the 500 largest US cities. PLACES extends these estimates to all counties, places (incorporated and census designated places), census tracts, and ZIP Code Tabulation Areas (ZCTA) across the United States.

1. This dataset contains data from BRFSS.

This data set contains the relative social vulnerability of Census tracts areas in Utah. Data is from the ATSDR's Geospatial Research, Analysis & Services Program. Data set contains 15 social factors, including employment, minority status, & disability.

CDC's Division of Population Health provides cross-cutting set of 124 indicators that were developed by consensus and that allows states and territories and large metropolitan areas to uniformly define, collect, and report chronic disease data that are important to public health practice and available for states, territories and large metropolitan areas. In addition to providing access to state-specific indicator data, the CDI web site serves as a gateway to additional information and data resources.

NMCDC Copy of Living Atlas map. Source: https://www.arcgis.com/home/item.html?id=23ab8028f1784de4b0810104cd5d1c8fIllustration by Brian BrenemanThis layer shows population broken down by race and Hispanic origin. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized to show the predominant race living within an area. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2013-2017ACS Table(s): B03002 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 7, 2018National Figures: American Fact FinderThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.Data Note from the Census: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 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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This dataset is updated automatically when the most current vintage of ACS data is released each year. The service contains the ACS data as of the current vintage listed. Tabular data is updated annually with the Census Bureau's release schedule. This may alter data values, fields, and boundaries. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -555555...) have been set to null. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small. NOTE: any calculated percentages or counts that contain estimates that have null margins of error yield null margins of error for the calculated fields.

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.

2014-15 merged, 2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from NHIS, stratified by all available combinations of age group, race/ethnicity, gender, and risk factor. NHIS is an annual household survey conducted by the National Center for Health Statistics at CDC that monitors trends in illness, disabilities, and progress towards national health objectives. Approximate sample size is 35,000 households and 87,500 persons annually. NHIS data for VEHSS includes questions 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 NHIS analyses can be found on the VEHSS NHIS webpage (link). Additional information about NHIS can be found on the NHIS website (http://www.cdc.gov/nchs/nhis/about_nhis.htm). The VEHSS NHIS dataset was last updated in November 2019.

This application provides an interactive maps for model-based chronic disease related estimates of the CDC PLACES (Population Level Analysis and Community Estimates). PLACES is an expansion of the original 500 Cities project and is funded by the Robert Wood Johnson Foundation through the CDC Foundation. PLACES includes 49 measures (12 health outcomes, 7 prevention measures, 4 health risk behaviors, 7 disabilities, 3 health status, 7 health-related social needs, and 9 social determinants of health) at county, place (incorporated and census designated places), census tract, and ZIP Code Tabulation Area (ZCTA) levels.The health outcomes measures include arthritis, current asthma, high blood pressure, cancer (non-skin) or melanoma, high cholesterol, chronic obstructive pulmonary disease (COPD), coronary heart disease, diagnosed diabetes, depression, obesity, all teeth lost, and stroke.The prevention measures include lack of health insurance, routine checkup within the past year, visited dentist or dental clinic in the past, taking medicine to control high blood pressure, cholesterol screening, mammography use for women, cervical cancer screening for women, and colorectal cancer screening.The health risk behaviors include binge drinking, current cigarette smoking, physical inactivity, and short sleep duration.The disability measures are six disability types (hearing, vision, cognitive, mobility, self-care, and independent living) and any disability.The health status measures include frequent mental distress, frequent physical distress, and poor or fair health.The health-related social needs measures include social isolation, food stamps, food insecurity, housing insecurity, utility services threat, transportation barriers, and lack of social and emotional support. The non-medical factor measures include population 65 years or older, no broadband, crowding, housing cost burden, no high school diploma, poverty, racial or ethnic minority status, single-parent households, and unemployment from U.S. Census Bureau’s American Community Health Survey.For more information, please visit https://www.cdc.gov/places or to contact places@cdc.gov.

The Behavioral Risk Factor Surveillance System (BRFSS) is a collaborative project between all of the states in the United States and participating US territories and the Centers for Disease Control and Prevention (CDC).

BRFSS’s objective is to collect uniform state-specific data on health risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services related to the leading causes of death and disability in the United States. BRFSS conducts both landline and mobile phone-based surveys with individuals over the age of 18. General factors assessed by the BRFSS in 2020 included health status and healthy days, exercise, insufficient sleep, chronic health conditions, oral health, tobacco use, cancer screenings, and access to healthcare.

Section Names:

1. Record Identification -> Columns 0 to 8
2. Land Line Introduction -> Columns 9 to 20
3. Cell Phone Introduction -> Columns 21 to 30
4. Respondent Sex -> Column 31
5. Health Status -> Column 32 a. Healthy Days -> Columns 33 to 35 b. Health Care Access -> Columns 36 to 39 c. Exercise -> Column 40 d. Inadequate Sleep -> Column 41 e. Chronic Health Conditions -> Columns 42 to 54 f. Oral Health -> Columns 55 and 56
6. Demographics -> Columns 57 to 69
7. Disability -> Columns 70 to 75
8. Tobacco Use -> Columns 71 to 75
9. Alcohol Consumption -> Columns 76 to 79
10. Immunization -> Columns 80 to 83
11. Falls -> Columns 84 and 85
12. Seatbelt Use and Drinking and Driving -> Columns 86 and 87
13. Breast and Cervical Cancer Screening -> Columns 88 to 94
14. Prostate Cancer Screening -> Columns 95 to 100
15. Colorectal Cancer Screening -> Columns 101 to 110
16. HIV/AIDS -> Columns 111 to 113
17. Diabetes -> Columns 114 to 124
18. ME/CFS -> Columns 125 to 127
19. Hepatitis Treatment -> Columns 128 to 133
20. Health Care Access -> Column 134
21. Cognitive Decline -> Columns 135 to 140
22. Caregiver -> Columns 141 to 149
23. E-Cigarettes -> Columns 150 and 151
24. Marijuana Use -> Columns 152 to 154
25. Lung Cancer Screening -> Columns 155 to 158
26. Cancer Survivorship: a. Type of Cancer -> Columns 159 to 162 b. Course of Treatment -> Columns 163 to 170 c. Pain Management -> Columns 171 and 172
27. Prostate Cancer Screening Decision Making -> Columns 173 and 174
28. HPV Vaccination -> Columns 175 and 176
29. Tetanus Diphtheria (Tdap) (Adults) -> Column 177
30. Place of Flu Vaccination -> Column 178
31. Sex at Birth -> Column 179
32. Sexual Orientation and Gender Identity (SOGI) -> Columns 180 to 182
33. Adverse Childhood Experience -> Columns 183 to 193
34. Random Child Selection -> Columns 194 and 195
35. Childhood Asthma Prevalence -> Columns 196 and 197
36. Questionnaire Version -> Column 198
37. Questionnaire Language -> Column 199
38. Urban Rural -> Columns 200 and 201
39. Weighting Variables -> Columns 202 to 207, 212 to 215
40. Child Demographic Variables -> Columns 208 to 210
41. Child Weighting Variables -> Column 211
42. Calculated Variables -> Columns 216 to 228, 236 to 278
43. Calculated Race Variables -> Columns 229 to 235

Acknowledgements

This dataset has been published annually by the CDC since 1984. You can find the original dataset as a ASCII format and past years data from here

Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [2020].

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

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