This map illustrates the estimated percent of the population (Age 5+) who, when asked if they had serious difficulty walking or climbing stairs, responded yes. These data are census tract level indicators (estimates) taken from the 2013-2017 American Community Survey.

Disability data come from the American Community Survey (ACS), The survey includes six disability types: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty. Respondents who report anyone of the six disability types are considered to have a disability. Hearing difficulty deaf or having serious difficulty hearing (DEAR).Vision difficulty blind or having serious difficulty seeing, even when wearing glasses (DEYE).Cognitive difficulty Because of a physical, mental, or emotional problem, having difficulty remembering, concentrating, or making decisions (DREM).Ambulatory difficulty Having serious difficulty walking or climbing stairs (DPHY).Self-care difficulty Having difficulty bathing or dressing (DDRS).Independent living difficulty Because of a physical, mental, or emotional problem, having difficulty doing errands alone such as visiting a doctor’s office or shopping (DOUT).

Notice: The U.S. Census Bureau is delaying the release of the 2016-2020 ACS 5-year data until March 2022. For more information, please read the Census Bureau statement regarding this matter. -----------------------------------------This layer shows six different types of disability. Data is from US Census American Community Survey (ACS) 5-year estimates and joined with Tempe census tracts. This layer is symbolized to show the percent of population with a disability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). Layer includes percent of population with a disability categorized as: · an independent living difficulty · a hearing difficulty · an ambulatory difficulty · a vision difficulty · a cognitive difficulty · a selfcare difficulty Data is from US Census American Community Survey (ACS) 5-year estimates. Vintage: 2015-2019 ACS Table(s): S1810 (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 Census update: December 10, 2020 National Figures: data.census.gov

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..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.

This layer shows six different types of disability. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percent of population with a disability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.Layer includes percent of population with a disability categorized as:an independent living difficultya hearing difficultyan ambulatory difficultya vision difficultya cognitive difficultya selfcare difficultyA ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2017-2021ACS Table(s): S1810 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 8, 2022National Figures: data.census.gov

A map showing disability populations by disability type, based on 2020 Census Tracts with American Community Survey 5 year average data from 2017-2021Disability data come from the American Community Survey (ACS), The survey includes six disability types: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty. Respondents who report anyone of the six disability types are considered to have a disability. Hearing difficulty deaf or having serious difficulty hearing.Vision difficulty blind or having serious difficulty seeing, even when wearing glasses.Cognitive difficulty Because of a physical, mental, or emotional problem, having difficulty remembering, concentrating, or making decisions Ambulatory difficulty Having serious difficulty walking or climbing stairs.Self-care difficulty Having difficulty bathing or dressing.Independent living difficulty Because of a physical, mental, or emotional problem, having difficulty doing errands alone such as visiting a doctor’s office or shopping (DOUT).

This layer shows six different types of disability. Data is from US Census American Community Survey (ACS) 5-year estimates.This layer is symbolized to show the percent of population with a disability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online). To view only the census tracts that are predominantly in Tempe, add the expression City is Tempe in the map filter settings.Layer includes percent of population with a disability categorized as:an independent living difficultya hearing difficultyan ambulatory difficultya vision difficultya cognitive difficultya selfcare difficultyA ‘Null’ entry in the estimate indicates that data for this geographic area cannot be displayed because the number of sample cases is too small (per the U.S. Census).Vintage: 2019-2023ACS Table(s): S1810 (Not all lines of this ACS table are available in this feature layer.)Data downloaded from: Census Bureau's API for American Community Survey Data Preparation: Data table downloaded and joined with Census Tract boundaries that are within or adjacent to the City of Tempe boundaryDate of Census update: December 12, 2024National Figures: data.census.gov

Estimates of persons with disabilities or other support needs by Census tract in Washington State. DSHS prepared estimates of persons with disabilities or other support needs in Washington Census tracts using data from the US Census Bureau’s 2012 American Community Survey. The estimates were prepared for DSHS and the Washington Department of Health to assist in emergency preparedness planning for Washington jurisdictions.

Ambulatory disabilities in the United States show a stark increase with age, reaching nearly 30 percent among those 75 and older. This highlights the growing challenges faced by the elderly population in maintaining mobility and independence. The prevalence of ambulatory disabilities across different age groups provides insight into the evolving healthcare needs of Americans as they age. Age-related disability trends While ambulatory disabilities affect 29.2 percent of those 75 and older, other age-related disabilities also show significant prevalence in this group. For example, hearing disabilities impact 21 percent of individuals in this age bracket, while 8.2 percent experience vision disabilities. These statistics underscore the multifaceted nature of age-related disabilities and the importance of comprehensive healthcare approaches for the elderly. Disability patterns across age groups The working-age population, those between 21 and 64 years old, experiences lower rates of ambulatory disabilities at 4.5 percent. However, this group is not without its challenges. For example, an estimated 4.1 million individuals aged 21 to 64 have a vision disability, meaning they experience blindness or serious difficulty seeing even when wearing glasses. These figures emphasize the need for targeted support and accessibility measures across all age groups.

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, 2019-2023 American Community Survey 5-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..For cognitive difficulty, ambulatory difficulty, and self-care difficulty, the 'Population under 18 years' includes persons aged 5 to 17. Children under 5 are not included in these measures..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.

Analysis of ‘Disability - ACS 2015-2019 - Tempe Tracts’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9578f12a-1d71-44d0-bddc-b8dd60cd30e6 on 11 February 2022.

--- Dataset description provided by original source is as follows ---

Notice: The U.S. Census Bureau is delaying the release of the 2016-2020 ACS 5-year data until March 2022. For more information, please read the Census Bureau statement regarding this matter.

-----------------------------------------

This layer shows six different types of disability. Data is from US Census American Community Survey (ACS) 5-year estimates and joined with Tempe census tracts.

This layer is symbolized to show the percent of population with a disability. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right (in ArcGIS Online).

Layer includes percent of population with a disability categorized as:

· an independent living difficulty

· a hearing difficulty

· an ambulatory difficulty

· a vision difficulty

· a cognitive difficulty

· a selfcare difficulty

Data is from US Census American Community Survey (ACS) 5-year estimates.

Vintage: 2015-2019

ACS Table(s): S1810 (Not all lines of this ACS table are available in this feature layer.)

Data downloaded from: 'https://www.census.gov/data/developers/data-sets.html' rel='nofollow ugc'>Census Bureau's API for American Community Survey

Date of Census update: December 10, 2020

National Figures: data.census.gov

--- Original source retains full ownership of the source dataset ---

Local, state, tribal, and federal agencies use disability data to plan and fund programs for people with disabilities. Disability data helps communities enroll eligible households in programs designed to assist them such as health care programs and affordable housing programs. Disability data also helps local jurisdictions provide services that:Enable older adults to remain living safely in their homes and communities (Older Americans Act).Provide services and assistance to people with a disability, such as financial assistance with utilities (Low Income Home Energy Assistance Program)Disability data helps communities qualify for grants such as the Community Development Block Grant (CDBG) Program, the HOME Investment Partnership Program, the Emergency Solutions Grants (ESG) Program, the Housing Opportunities for Persons with AIDS (HOPWA) Program, and other local and federal programs.Disability data are also used to evaluate other government programs and policies to ensure that they fairly and equitably serve the needs of all groups, as well as enforce laws, regulations, and policies against discrimination.This map shows the count and prevalence of people with a disability. This includes people with a hearing difficulty, a vision difficulty, an ambulatory difficulty, a cognitive difficulty, a self-care difficulty, and an independent-living difficulty. The features in web map are symbolized using color and size to depict total population with a disability count (size of symbol) and prevalence (color of symbol). Web map is multi-scaled, and opens displaying data for counties and tracts. This map uses these hosted feature layers containing the most recent American Community Survey data. These layers are part of the ArcGIS Living Atlas, and are updated every year when the American Community Survey releases new estimates, so values in the map always reflect the newest data available.

Disability Characteristics, Census Tracts, 2012 ACS 5 Year - S1810

last modified: 9/29/2014

Data Source: US Census, American Community Survey, 2008-2012: http://factfinder2.census.gov/faces/nav/jsf/pages/searchresults.xhtml?refresh=t

More Info: https://www.census.gov/programs-surveys/acs.html

Shapefile: http://nmcdc.maps.arcgis.com/home/item.html?id=810efc252d5e44169097c34dc7a55d34

Feature Service: http://nmcdc.maps.arcgis.com/home/item.html?id=bee0469386df4051862e5b1647b35635

Web Map:

http://bit.ly/1EbsJpy

Excel Master File:

http://nmcdc.maps.arcgis.com/sharing/rest/content/items/a6560db002f9479dab70640255ba4e68/data

ORIGINAL NAME SHORT NAME DEFINITION

GEOid GEOid Id

CTFIPSno CTFIPSno Id2

CTFIPS CTFIPS Census Tract FIPS Code, Text formatted

CTLong CTLong Geography

HC01_EST_VC01 HC01VC01 Total; Estimate; Total civilian noninstitutionalized population

HC02_EST_VC01 HC02VC01 With a disability; Estimate; Total civilian noninstitutionalized population

HC03_EST_VC01 HC03VC01 Percent with a disability; Estimate; Total civilian noninstitutionalized population

HC01_EST_VC03 HC01VC03 Total; Estimate; Population under 5 years

HC02_EST_VC03 HC02VC03 With a disability; Estimate; Population under 5 years

HC03_EST_VC03 HC03VC03 Percent with a disability; Estimate; Population under 5 years

HC02_EST_VC04 HC02VC04 With a disability; Estimate; With a hearing difficulty; Population under 5 years

HC03_EST_VC04 HC03VC04 Percent with a disability; Estimate; With a hearing difficulty; Population under 5 years

HC02_EST_VC05 HC02VC05 With a disability; Estimate; With a vision difficulty; Population under 5 years

HC03_EST_VC05 HC03VC05 Percent with a disability; Estimate; With a vision difficulty; Population under 5 years

HC01_EST_VC07 HC01VC07 Total; Estimate; Population 5 to 17 years

HC02_EST_VC07 HC02VC07 With a disability; Estimate; Population 5 to 17 years

HC03_EST_VC07 HC03VC07 Percent with a disability; Estimate; Population 5 to 17 years

HC02_EST_VC08 HC02VC08 With a disability; Estimate; With a hearing difficulty

HC03_EST_VC08 HC03VC08 Percent with a disability; Estimate; With a hearing difficulty

HC02_EST_VC09 HC02VC09 With a disability; Estimate; With a vision difficulty

HC03_EST_VC09 HC03VC09 Percent with a disability; Estimate; With a vision difficulty

HC02_EST_VC10 HC02VC10 With a disability; Estimate; With a cognitive difficulty

HC03_EST_VC10 HC03VC10 Percent with a disability; Estimate; With a cognitive difficulty

HC02_EST_VC11 HC02VC11 With a disability; Estimate; With an ambulatory difficulty

HC03_EST_VC11 HC03VC11 Percent with a disability; Estimate; With an ambulatory difficulty

HC02_EST_VC12 HC02VC12 With a disability; Estimate; With a self-care difficulty

HC03_EST_VC12 HC03VC12 Percent with a disability; Estimate; With a self-care difficulty

HC01_EST_VC14 HC01VC14 Total; Estimate; Population 18 to 64 years

HC02_EST_VC14 HC02VC14 With a disability; Estimate; Population 18 to 64 years

HC03_EST_VC14 HC03VC14 Percent with a disability; Estimate; Population 18 to 64 years

HC02_EST_VC15 HC02VC15 With a disability; Estimate; With a hearing difficulty

HC03_EST_VC15 HC03VC15 Percent with a disability; Estimate; With a hearing difficulty

HC02_EST_VC16 HC02VC16 With a disability; Estimate; With a vision difficulty

HC03_EST_VC16 HC03VC16 Percent with a disability; Estimate; With a vision difficulty

HC02_EST_VC17 HC02VC17 With a disability; Estimate; With a cognitive difficulty

HC03_EST_VC17 HC03VC17 Percent with a disability; Estimate; With a cognitive difficulty

HC02_EST_VC18 HC02VC18 With a disability; Estimate; With an ambulatory difficulty

HC03_EST_VC18 HC03VC18 Percent with a disability; Estimate; With an ambulatory difficulty

HC02_EST_VC19 HC02VC19 With a disability; Estimate; With a self-care difficulty

HC03_EST_VC19 HC03VC19 Percent with a disability; Estimate; With a self-care difficulty

HC02_EST_VC20 HC02VC20 With a disability; Estimate; With an independent living difficulty

HC03_EST_VC20 HC03VC20 Percent with a disability; Estimate; With an independent living difficulty

HC01_EST_VC22 HC01VC22 Total; Estimate; Population 65 years and over

HC02_EST_VC22 HC02VC22 With a disability; Estimate; Population 65 years and over

HC03_EST_VC22 HC03VC22 Percent with a disability; Estimate; Population 65 years and over

HC02_EST_VC23 HC02VC23 With a disability; Estimate; With a hearing difficulty

HC03_EST_VC23 HC03VC23 Percent with a disability; Estimate; With a hearing difficulty

HC02_EST_VC24 HC02VC24 With a disability; Estimate; With a vision difficulty

HC03_EST_VC24 HC03VC24 Percent with a disability; Estimate; With a vision difficulty

HC02_EST_VC25 HC02VC25 With a disability; Estimate; With a cognitive difficulty

HC03_EST_VC25 HC03VC25 Percent with a disability; Estimate; With a cognitive difficulty

HC02_EST_VC26 HC02VC26 With a disability; Estimate; With an ambulatory difficulty

HC03_EST_VC26 HC03VC26 Percent with a disability; Estimate; With an ambulatory difficulty

HC02_EST_VC27 HC02VC27 With a disability; Estimate; With a self-care difficulty

HC03_EST_VC27 HC03VC27 Percent with a disability; Estimate; With a self-care difficulty

HC02_EST_VC28 HC02VC28 With a disability; Estimate; With an independent living difficulty

HC03_EST_VC28 HC03VC28 Percent with a disability; Estimate; With an independent living difficulty

HC01_EST_VC31 HC01VC31 Total; Estimate; SEX - Male

HC02_EST_VC31 HC02VC31 With a disability; Estimate; SEX - Male

HC03_EST_VC31 HC03VC31 Percent with a disability; Estimate; SEX - Male

HC01_EST_VC32 HC01VC32 Total; Estimate; SEX - Female

HC02_EST_VC32 HC02VC32 With a disability; Estimate; SEX - Female

HC03_EST_VC32 HC03VC32 Percent with a disability; Estimate; SEX - Female

HC01_EST_VC35 HC01VC35 Total; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race

HC02_EST_VC35 HC02VC35 With a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race

HC03_EST_VC35 HC03VC35 Percent with a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race

HC01_EST_VC36 HC01VC36 Total; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - White alone

HC02_EST_VC36 HC02VC36 With a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - White alone

HC03_EST_VC36 HC03VC36 Percent with a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - White alone

HC01_EST_VC37 HC01VC37 Total; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Black or African American alone

HC02_EST_VC37 HC02VC37 With a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Black or African American alone

HC03_EST_VC37 HC03VC37 Percent with a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Black or African American alone

HC01_EST_VC38 HC01VC38 Total; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - American Indian and Alaska Native alone

HC02_EST_VC38 HC02VC38 With a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - American Indian and Alaska Native alone

HC03_EST_VC38 HC03VC38 Percent with a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - American Indian and Alaska Native alone

HC01_EST_VC39 HC01VC39 Total; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Asian alone

HC02_EST_VC39 HC02VC39 With a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Asian alone

HC03_EST_VC39 HC03VC39 Percent with a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Asian alone

HC01_EST_VC40 HC01VC40 Total; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Native Hawaiian and Other Pacific Islander alone

HC02_EST_VC40 HC02VC40 With a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Native Hawaiian and Other Pacific Islander alone

HC03_EST_VC40 HC03VC40 Percent with a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Native Hawaiian and Other Pacific Islander alone

HC01_EST_VC41 HC01VC41 Total; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Some other race alone

HC02_EST_VC41 HC02VC41 With a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Some other race alone

HC03_EST_VC41 HC03VC41 Percent with a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - One Race - Some other race alone

HC01_EST_VC42 HC01VC42 Total; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - Two or more races

HC02_EST_VC42 HC02VC42 With a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - Two or more races

HC03_EST_VC42 HC03VC42 Percent with a disability; Estimate; RACE AND HISPANIC OR LATINO ORIGIN - Two or more races

HC01_EST_VC44 HC01VC44 Total; Estimate; White alone, not Hispanic or Latino

HC02_EST_VC44 HC02VC44 With a disability; Estimate; White alone, not Hispanic or Latino

HC03_EST_VC44 HC03VC44 Percent with a disability; Estimate; White alone, not Hispanic or Latino

HC01_EST_VC45 HC01VC45 Total; Estimate; Hispanic or Latino (of any race)

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...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..Tell us what you think. Provide feedback to help make American Community Survey data more useful for you..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in 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..An ''-'' entry in the estimate column indicates that 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2011-2015 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..When information is missing or inconsistent, the Census Bureau uses a method called imputation to assign values. Responses assigned using the Census Bureau's imputation method are called imputed values. The "Percent Imputed" section is the percent of respondents who received an imputed value for a particular subject. ..The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008 or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the Evaluation Report Covering Disability..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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2011-2015 American Community Survey 5-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...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..Tell us what you think. Provide feedback to help make American Community Survey data more useful for you..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in 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..An ''-'' entry in the estimate column indicates that 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..When information is missing or inconsistent, the Census Bureau logically assigns an acceptable value using the response to a related question or questions. If a logical assignment is not possible, data are filled using a statistical process called allocation, which uses a similar individual or household to provide a donor value. The "Allocated" section is the number of respondents who received an allocated value for a particular subject..The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008 or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the Evaluation Report Covering Disability..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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...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..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in 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..An ''-'' entry in the estimate column indicates that 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2000 data. Boundaries for urban areas have not been updated since Census 2000. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2012 American Community Survey (ACS) data generally reflect the December 2009 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008 or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the Evaluation Report Covering Disability..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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2012 American Community Survey

Estimates of persons with disabilities or other support needs by Census tract in Washington State. DSHS prepared estimates of persons with disabilities or other support needs in Washington Census tracts using data from the US Census Bureau’s 2012 American Community Survey. The estimates were prepared for DSHS and the Washington Department of Health to assist in emergency preparedness planning for Washington jurisdictions.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...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..Tell us what you think. Provide feedback to help make American Community Survey data more useful for you..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in 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..An ''-'' entry in the estimate column indicates that 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2012-2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..When information is missing or inconsistent, the Census Bureau logically assigns an acceptable value using the response to a related question or questions. If a logical assignment is not possible, data are filled using a statistical process called allocation, which uses a similar individual or household to provide a donor value. The "Allocated" section is the number of respondents who received an allocated value for a particular subject..The Census Bureau introduced a new set of disability questions in the 2008 ACS questionnaire. Accordingly, comparisons of disability data from 2008 or later with data from prior years are not recommended. For more information on these questions and their evaluation in the 2006 ACS Content Test, see the Evaluation Report Covering Disability..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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2012-2016 American Community Survey 5-Year Estimates

Estimates of persons with disabilities or other support needs by Census tract. Data is from the US Census Bureau’s 2012 American Community Survey. Estimated counts, percentages, margins of error (MOEs) of counts and percentages by Census tract have been calculated for the following characteristics:Persons with Disabilities, Hearing Difficulty, Vision Difficulty, Cognitive Difficulty, Ambulatory Difficulty, Self-Care Difficulty, Independent Living Difficulty, Persons with Two or More Disabilities, Persons with Disabillities and in Poverty, Persons in Groups Quarters, Households Without Vehicles, Persons Speaking English less than "Very Well," Persons in Poverty

This layer shows six different types of disability. This is shown by county 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 population 5 years and over with an ambulatory difficulty.