County Report for Disability Prevalence

Acknowledgement

Special thanks to the following individuals who have contributed to the success of this effort: Deb Brucker, Erin Dame, Adam Lavoie, Rachel Coleman, Kate Filanoski, and Karen Volle. 

Funding for this publication is made possible by:

The Rehabilitation Research and Training Center on Disability Statistics and Demographics (StatsRRTC), funded by the U.S. Department of Health and Human Services Administration for Community Living National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), grant number 90RT5022-02-01; and the Rehabilitation Research and Training Center on Employment Policy and Measurement (EPM-RRTC), also funded by NIDILRR, grant number 90RT5037-01-00. The information developed by the StatsRRTC and EPM-RRTC does not necessarily represent the policies of the Department of Health and Human Services, and you should not assume endorsement by the Federal Government (Edgar, 75.620 (b)).

The StatsRRTC and EPM-RRTC are part of the Institute on Disability at the University of New Hampshire. The Institute on Disability/UCED (IOD) was established in 1987 to provide a university-based focus for the improvement of knowledge, policies, and practices related to the lives of people with disabilities and their families and is New Hampshire’s University Center for Excellence in Disability (UCED). Located within the University of New Hampshire, the IOD is a federally designated center authorized by the Developmental Disabilities Act. Through innovative and interdisciplinary research, academic, service, and dissemination initiatives, the IOD builds local, state, and national capacities to respond to the needs of individuals with disabilities and their families.

 

 

 
 
 
 

Institute on Disability / UCED
10 West Edge Drive, Suite 101
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603.862.4320 | relay: 711 | contact.iod@unh.edu
www.iod.unh.edu

2015 Oregon Report for County-level Data: Prevalence

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Rehabilitation Research and Training Center on
Disability Statistics and Demographics
A NIDILRR-Funded Center

   NIDILIRR.jpg

 

Introduction

The State Reports for County-Level Data on Prevalence are designed to provide the users of disability statistics with the number of people with disabilities for any given state and county in the United States (U.S.). This report is intended to be an online compliment to Section 1: Population and Prevalence of the Annual Disability Statistics Compendium and Annual Disability Statistics Supplement, providing greater detail within each state. The State Reports for County-Level Data on Prevalence can be used to compare county-level statistics between counties in any given state or states. The following report provides county-level statistics for Oregon.

The proportions of people with disabilities, sometimes called prevalence, presented in the State Reports for County-Level Data is a useful tool for advocates, researchers, and policy-makers to plan and provide services and supports for people with disabilities. In this report, the prevalence of people with disabilities is presented as the number of people with disabilities in a given state and county per total state and county populations, respectively. Counts and percentages are provided in tables and maps.

The data for this report comes from the American Community Survey 5-year data. The American Community Survey (ACS) is a national survey developed by the U.S. Census Bureau to provide information on a number of topics about social, economic, and demographic characteristics of the U.S. population. ACS 5-year data is collected over a longer period of time than 1-year data, providing larger sample sizes and increased reliability for less populated areas and small population subgroups. All of the statistics in this report use the ACS 5-year data which includes data from 2015, the year of the report, and data from the four previous years.

In the ACS, people are identified as having a disability based on responses to a series of six questions asking about having difficulties with vision, hearing, ambulation, cognition, self-care, and independent living. These questions are:

  • Are you blind or do you have serious difficulty seeing, even when wearing glasses?

  • Are you deaf or do you have serious difficulty hearing?

  • Do you have serious difficulty walking or climbing stairs?

 
  • Because of a physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?

  • Do you have difficulty dressing or bathing?

  • Because of a physical, mental, or emotional condition, do you have difficulty doing errands alone such as visiting a doctor's office or shopping?

A response of ‘yes’ to any one of these six questions identifies an individual as having a disability in the ACS. Specific to Oregon, the state chosen for this report, sentences providing interpretation and context for prevalence statistics are included below. A short glossary of terms is also provided at the end of the report explaining the statistics that are illustrated in each sentence.

Interpretation

The following statements are designed to help understand the 2015 county-level statistics from Oregon that are presented:

  • For people with and without disabilities: 

    • The range of total people across Oregon counties, also known as the difference between the largest and smallest counts of people across Oregon counties, was 761,869.

      • The county with the greatest number of total people was Multnomah (763,208 people).

      • The county with the least number of total people was Wheeler (1,339 people).

    • The average number of total people across all counties was 108,355.

    • The median, also known as the middle-most number, of total people across Oregon counties was 41,336.

 
  • For people with disabilities: 

    • The range of people with disabilities across Oregon counties, also known as the difference between the largest and smallest counts of people with disabilities across Oregon counties, was 98,256.

      • The county with the greatest number of people with disabilities was Multnomah (98,556 people).

      • The county with the least number of people with disabilities was Wheeler (300 people).

    • The average number of people with disabilities across all counties was 15,620.

    • The median, also known as the middle-most number, of people with disabilities across Oregon counties was 7,636.

  • For people without disabilities: 

    • The range of people without disabilities across Oregon counties, also known as the difference between the largest and smallest counts of people without disabilities across Oregon counties, was 663,613.

      • The county with the greatest number of people without disabilities was Multnomah (664,652 people).

      • The county with the leastnumber of people without disabilities was Wheeler (1,039 people).

    • The average number of people without disabilities across all counties was 92,735.

    • The median, also known as the middle-most number, of people without disabilities across Oregon counties was 32,734.

 

Prevalence of People with and without Disabilities for Oregon, by County: 2015

County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Oregon     3,900,771 562,324 14.4 3,338,447 85.6 Lake           7,361   1,723 23.4     5,638 76.6
Baker         15,537   3,149 20.3    12,388 79.7 Lane         355,540  56,982 16.0   298,558 84.0
Benton        86,245   8,697 10.1    77,548 89.9 Lincoln       46,066   9,792 21.3    36,274 78.7
Clackamas    387,875  45,920 11.8   341,955 88.2 Linn         118,233  20,253 17.1    97,980 82.9
Clatsop       36,606   7,412 20.2    29,194 79.8 Malheur       27,201   4,574 16.8    22,627 83.2
Columbia      49,067   7,860 16.0    41,207 84.0 Marion       317,324  46,774 14.7   270,550 85.3
Coos          61,828  14,187 22.9    47,641 77.1 Morrow        11,196   1,727 15.4     9,469 84.6
Crook         20,874   4,576 21.9    16,298 78.1 Multnomah    763,208  98,556 12.9   664,652 87.1
Curry         22,194   5,719 25.8    16,475 74.2 Polk          76,884  11,292 14.7    65,592 85.3
Deschutes    165,943  20,937 12.6   145,006 87.4 Sherman        1,795     350 19.5     1,445 80.5
Douglas      106,547  23,206 21.8    83,341 78.2 Tillamook     24,767   4,446 18.0    20,321 82.0
Gilliam        1,870     412 22.0     1,458 78.0 Umatilla      72,571  10,526 14.5    62,045 85.5
Grant          7,142   1,491 20.9     5,651 79.1 Union         25,457   4,398 17.3    21,059 82.7
Harney         7,123   1,448 20.3     5,675 79.7 Wallowa        6,763   1,492 22.1     5,271 77.9
Hood River    22,668   2,297 10.1    20,371 89.9 Wasco         25,061   4,332 17.3    20,729 82.7
Jackson      207,284  35,422 17.1   171,862 82.9 Washington   552,724  54,647  9.9   498,077 90.1
Jefferson     21,300   3,610 16.9    17,690 83.1 Wheeler        1,339     300 22.4     1,039 77.6
Josephine     82,741  15,918 19.2    66,823 80.8 Yamhill       98,985  15,044 15.2    83,941 84.8
Klamath       65,452  12,855 19.6    52,597 80.4                                                 
                                                                                                 
                                                                                                 
                                                                                                 
                                                                                                 
                                                                                                 
                                                                                                 
                                                                                                 

Count of People with Disabilities for Oregon, by County: 2015

Percentage of People with Disabilities for Oregon, by County: 2015

Discussion

There are a number of concepts and factors which complicate the interpretation of the estimates presented in this report. These concerns affect all statistics from population-based surveys. The estimates included in this document should be interpreted the following limitations in mind and generalized with caution. In each point, a link to the U.S. Census Bureau website describing the limitation or concept in greater detail in the ACS has been provided (www.census.gov/programs-surveys/acs/).

  • Statistics are based on a sample and subject to sample variation (a discussion of this topic can be found here).

  • Statistics based on a sample may not fully represent the total U.S. population (a discussion of this topic can be found here).

  • People responding to the ACS may be different than people not responding (a discussion of this topic can be found here).

  • When people do not respond to all ACS questions their responses are created based on assignment or allocation (a discussion of this topic can be found here).

Additional resources for the ACS:

  • Information on the disability questions can be found here.

  • The ACS design and methodology can be found here.

  • The ACS questionnaire and instructions can be found here.

Definitions

Average—The sum of all of the values in a sample divided by the number of values in the sample.
Median—The middlemost value of a sample that separates the upper half of the values from the lower half of the values.
Prevalence—The proportion of the population with a particular status or condition. Prevalence is usually expressed as a percentage or a number of people per unit of the population.
Population—The total number of inhabitants in a defined geographic area including all races, classes, and groups.
Range—The difference between the largest and smallest values in a sample. In a sample, when the smallest value is subtracted from the largest value the resulting value is called the range.

Rehabilitation Research and Training Center on Disability Statistics and Demographics

Policymakers, program administrators, service providers, researchers, advocates for people with disabilities, and people with disabilities and their families need accessible, valid data/statistics to support their decisions related to policy improvements, program administration, service delivery, protection of civil rights, and major life activities. The StatsRRTC supports decision making through a variety of integrated research and outreach activities by (a) improving knowledge about and access to existing data, (b) generating the knowledge needed to improve future disability data collection, and (c) strengthening connections between the data from and regarding respondents, researchers, and decision makers. In this way, the Stats RRTC supports the improvement of service systems that advance the quality of life for people with disabilities.

Led by the University of New Hampshire, the StatsRRTC is a collaborative effort involving the following partners: American Association of People with Disabilities, Center for Essential Management Services, Council of State Administrators of Vocational Rehabilitation, Kessler Foundation, Mathematica Policy Research, and Public Health Institute. The StatsRRTC is funded by the U.S. Department of Health and Human Services, Administration for Community Living, National Institute on Disability, Independent Living and Rehabilitation Research under grant number 90RT502201, from 2013–2018.

Employment Policy and Measurement Rehabilitation Research and Training Center

The EPM-RRTC generates and translates new information about disability employment policy and ways to measure the labor market experiences of people with disabilities. By improving the quality of available information about program interactions, policy options, and employment outcomes, the EPM-RRTC increases evidence-based advocacy and policymaking.

Led by the University of New Hampshire, the EPM-RRTC is a collaborative effort involving the following partners: Association of University Centers on Disability, Hunter College, Kessler Foundation, Mathematica Policy Research, and the University of Chicago. The EPM-RRTC is funded by the U.S. Department of Health and Human Services, Administration for Community Living, National Institute on Disability, Independent Living and Rehabilitation Research under grant number 90RT503701, from 2015–2020.