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What can the American Community Survey tell us about the population with disabilities

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Title: What can the American Community Survey tell us about the population with disabilities


1
What can the American Community Survey tell us
about the population with disabilities?
  • Robert Weathers
  • Cornell University
  • August 2004

2
Importance
  • Decline in employment and economic well- being
    for the population with disabilities during the
    economic expansion of the 1990s.
  • Some limitations with prior Census disability
    data collection efforts.
  • Presidents New Freedom Initiative Promotes
    policies of inclusion of persons with
    disabilities.
  • New Census data collection effort, the American
    Community Survey (ACS), can provide new
    information on progress towards improving
    employment and economic well-being.

3
Purpose of Presentation
  • Describe how ACS measures disability.
  • Describe population estimates and prevalence
    estimates based upon the ACS measures.
  • Show differences across states and sub-groups in
    disability prevalence, employment and economic
    well-being.
  • Discuss policy implications.

4
What is the ACS?
  • The ACS is a new continuous data collection
    effort by the U.S. Census Bureau to produce
    annual estimates at the national, state and local
    level on the characteristics of the United States
    household population.
  • Three main objectives of the ACS
  • Provide federal, state and local governments with
    information for the administration and evaluation
    of government programs
  • Replace the decennial census long-form and
  • Provide timely information each year on
    demographic, housing, social and economic
    statistics that can be compared across states,
    communities, and population groups.

5
Conceptual Model of Disability
  • Use WHO International Classification of
    Disability, Health and Functioning (ICF)
  • Impairment,
  • Activity Limitation, and
  • Participation Restriction.
  • Disability defined as an impairment, activity
    limitation, or participation restriction.
  • Similar to ADA definition of disability.

6
How does ACS measure disability?
  • Developed by inter-agency workgroup.
  • Six questions
  • Three related to impairments.
  • One related to activity limitations.
  • Two related to participation restrictions.
  • Like the ICF, Census Bureau defines disability as
    an impairment, activity limitation or
    participation restriction.

7
ACS Sample
  • In 2002, national sample of members from over
    500,000 households.
  • Does not include those living in group
    quarters, which includes nursing homes,
    prisons, college dormitories, juvenile
    institutions, and emergency and transitional
    shelters for those experiencing homelessness.
  • Plans to expand ACS in near future to include an
    annual sample of 3 million addresses, 2.5 of
    group home population, and 36,000 addresses from
    Puerto Rico.

8
Population with Disabilities, 2002
Source Calculations from 2002 ACS PUMS.
9
2002 Prevalence Rate, By Age
Source Calculations from 2002 ACS PUMS.
10
How to Measure Progress?
  • Employment rate
  • Reference week measure.
  • Two other measures, some attachment over previous
    year, full-time year round during previous year
    in paper.
  • Poverty Rate
  • Based upon Federal Guidelines--OMB directive 14.
  • Family as sharing unit.
  • Household (HH) Income
  • Related and unrelated household members as
    sharing unit.
  • Two measures, total HH income and HH size
    adjusted income in paper.

11
2002 Employment Rates, 25-61
Source Calculations from the 2002 ACS PUMS.
12
2002 Poverty Rates, 25 - 61
Source Calculations from the 2002 ACS PUMS.
13
State Prevalence Rates, 25 - 61
Three lowest rate States, median State, and three
highest rate States.
Source Calculations from the 2002 ACS PUMS.
14
Disability Employment Rates, 25-61
Three lowest rate States, median State, and three
highest rate States.
Source Calculations from the 2002 ACS PUMS.
15
Disability Poverty Rates, 25-61
Three lowest States, median State, and three
highest states.
Source Calculations from the 2002 ACS PUMS.
16
Disability Employment, Ages 25-40
Source Calculations from 2002 ACS PUMS.
17
Disability Poverty Rates, 25-40
Source Calculations from 2002 ACS PUMS.
18
Summary
  • ACS disability information is an improvement over
    prior Census data, but further research needed.
  • Even with new improved measure of disability, ACS
    data shows significantly lower employment rates
    and higher poverty rates for the population with
    disabilities compared to the population without
    disabilities.
  • Prevalence, employment and economic well being
    differ significantly across states. ACS provides
    a powerful tool to track these indicators across
    states and over time.
  • In future, ACS will provide estimates at the
    Metropolitan Statistical Area and County level.

19
Policy Implications
  • The ACS shows that the population with
    disabilities has a long way to go to reach the
    goals of inclusion in the New Freedom Initiative.
  • The high poverty rates and household measures to
    not make adjustments for additional medical,
    personal assistance, and other needs of the
    population with disabilities. Do these
    indicators understate the income needs and
    poverty rates for the population? Need to
    conduct additional research on income needs and
    poverty rate measures of the population.
  • The data shows an association between employment
    and economic well-being. Can policies that
    improve employment opportunities for persons with
    disabilities increase their economic well being?
  • Some policies have begun to move in this
    direction, but we must continue to monitor
    progress.
  • Cornell Employment and Disability Institute plans
    to utilize this data, in combination with other
    data sources, to monitor progress at the
    national, state and local level.

20
For further information
  • See Cornell RRTC on Disability Demographics and
    Statistics
  • Website www.disabilitystatistics.org
  • E-mail disabilitystatistics_at_cornell.edu
  • Bob Weathers
  • E-mail rw56_at_cornell.edu
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