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 Alaska 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 Alaska.

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 Alaska, 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 Alaska that are presented:

  • For people with and without disabilities: 

    • The range of total people across Alaska counties, also known as the difference between the largest and smallest counts of people across Alaska counties, was 287,168.

      • The county with the greatest number of total people was Anchorage (287,811 people).

      • The county with the least number of total people was Yakutat (643 people).

    • The average number of total people across all counties was 25,052.

    • The median, also known as the middle-most number, of total people across Alaska counties was 6,616.

 
  • For people with disabilities: 

    • The range of people with disabilities across Alaska counties, also known as the difference between the largest and smallest counts of people with disabilities across Alaska counties, was 29,126.

      • The county with the greatest number of people with disabilities was Anchorage (29,178 people).

      • The county with the least number of people with disabilities was Yakutat (52 people).

    • The average number of people with disabilities across all counties was 2,755.

    • The median, also known as the middle-most number, of people with disabilities across Alaska counties was 905.

  • For people without disabilities: 

    • The range of people without disabilities across Alaska counties, also known as the difference between the largest and smallest counts of people without disabilities across Alaska counties, was 258,042.

      • The county with the greatest number of people without disabilities was Anchorage (258,633 people).

      • The county with the leastnumber of people without disabilities was Yakutat (591 people).

    • The average number of people without disabilities across all counties was 22,297.

    • The median, also known as the middle-most number, of people without disabilities across Alaska counties was 5,656.

 

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

County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Alaska                701,457 77,134 11.0 624,323 89.0 Lake and Peninsula      1,474    192 13.0   1,282 87.0
Aleutians East          3,299    257  7.8   3,042 92.2 Matanuska-Susitna      94,431 10,836 11.5  83,595 88.5
Aleutians West          5,510    356  6.5   5,154 93.5 Nome                    9,655  1,077 11.2   8,578 88.8
Anchorage             287,811 29,178 10.1 258,633 89.9 North Slope             9,584    880  9.2   8,704 90.8
Bethel                 17,505  1,711  9.8  15,794 90.2 Northwest Arctic        7,708    826 10.7   6,882 89.3
Bristol Bay               959    116 12.1     843 87.9 Petersburg              3,204    432 13.5   2,772 86.5
Denali                  1,999    180  9.0   1,819 91.0 Prince of Wales-Hyder   6,369    972 15.3   5,397 84.7
Dillingham              4,961    600 12.1   4,361 87.9 Sitka                   8,759    934 10.7   7,825 89.3
Fairbanks North Star   93,094 10,048 10.8  83,046 89.2 Skagway                   999     65  6.5     934 93.5
Haines                  2,554    326 12.8   2,228 87.2 Southeast Fairbanks     6,862    948 13.8   5,914 86.2
Hoonah-Angoon           2,125    350 16.5   1,775 83.5 Valdez-Cordova          9,412    952 10.1   8,460 89.9
Juneau                 31,967  3,094  9.7  28,873 90.3 Wrangell                2,368    531 22.4   1,837 77.6
Kenai Peninsula        55,927  7,856 14.0  48,071 86.0 Yakutat                   643     52  8.1     591 91.9
Ketchikan Gateway      13,376  1,821 13.6  11,555 86.4 Yukon-Koyukuk           5,619    930 16.6   4,689 83.4
Kodiak Island          13,283  1,614 12.2  11,669 87.8                                                       
                                                                                                             
                                                                                                             
                                                                                                             
                                                                                                             
                                                                                                             
                                                                                                             
                                                                                                             
                                                                                                             
                                                                                                             
                                                                                                             
                                                                                                             

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

Percentage of People with Disabilities for Alaska, 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.