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A Guide to Disability Statistics from the American Community Survey (2008 Forward)

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dc.contributor.authorErickson, William
dc.date.accessioned2020-12-06T23:12:34Z
dc.date.available2020-12-06T23:12:34Z
dc.date.issued2012-12-01
dc.description.abstractThis User Guide focuses on the information relevant to disability contained in the American Community Survey (ACS), a nationally representative survey of households and “group quarters” (GQ) populations conducted by the U.S. Census Bureau. The ACS is a valuable source of disability information, making it possible for researchers and policymakers to track changes in prevalence rates, employment and economic indicators across states and over time. It provides vital information on how the labor market and the social and policy environments may influence the status and economic well-being of the population with disabilities. The ACS offers researchers and others a tremendous amount of population-based information that can be used in a myriad of ways, from identifying potential populations and localities in need of services to providing baseline measures for comparison to other studies. The ACS is invaluable for the purposes of monitoring the progress of the population with disabilities and is an important component of the nation’s efforts to reach the goals of full participation, independent living, and economic self-sufficiency for the population with disabilities. Cornell University produced the original series of User Guides to disability data sources as a part of its Rehabilitation Research and Training Center on Disability Demographics and Statistics designed to bridge the divide between the sources of disability data and the users of disability statistics. This ACS User Guide is an update and extension of the original guide written by Robert Weathers in 2005. It has been produced in collaboration with the University of Texas Medical Branch under funding from the National Institutes of Health, and contains valuable information on the disability population that can be used to inform rehabilitation researchers and other disability data users.
dc.description.legacydownloadsDE141_PDF2.pdf: 1882 downloads, before Oct. 1, 2020.
dc.description.legacydownloads0-DE141_HTML.htm: 817 downloads, before Oct. 1, 2020.
dc.identifier.other3520412
dc.identifier.urihttps://hdl.handle.net/1813/90090
dc.language.isoen_US
dc.subjectDisability Statistics Research
dc.subjectcharts
dc.subjectcognitive disabilities
dc.subjectdata
dc.subjectdefinition of disability
dc.subjectdependence
dc.subjectdevelopmental disabled
dc.subjectdisabilities
dc.subjectdisability
dc.subjectdisability
dc.subjectdisability statistics
dc.subjectdisable
dc.subjectdisabled
dc.subjectdisablement
dc.subjectdisabling
dc.subjectearnings
dc.subjectemploy
dc.subjectemploying
dc.subjectemployment
dc.subjectestimates
dc.subjectfigures
dc.subjectgraphs
dc.subjecthandicap
dc.subjecthandicap
dc.subjecthandicapped
dc.subjectimpair
dc.subjectimpaired
dc.subjectimpairment
dc.subjectincome
dc.subjectinformation
dc.subjectlack of income
dc.subjectLD
dc.subjectLDHD
dc.subjectlearning disabilities
dc.subjectlearning disability
dc.subjectlimitation
dc.subjectlimitation
dc.subjectmental disabilities
dc.subjectmental handicap
dc.subjectmental retardation
dc.subjectneed
dc.subjectnumbers
dc.subjectphysical disability
dc.subjectpoor
dc.subjectpoverty
dc.subjectself-employment
dc.subjectspecial need
dc.subjectstatistic
dc.subjectstatistics
dc.subjectstats
dc.subjectwelfare
dc.subjectwork
dc.titleA Guide to Disability Statistics from the American Community Survey (2008 Forward)
dc.typearticle
local.authorAffiliationErickson, William: wae1@cornell.edu Cornell University

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K. Lisa Yang and Hock E. Tan Institute on Employment and Disability Collection