Disability Prevalence Report

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
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2015 Oklahoma 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 Oklahoma.

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 Oklahoma, 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 Oklahoma that are presented:

  • For people with and without disabilities: 

    • The range of total people across Oklahoma counties, also known as the difference between the largest and smallest counts of people across Oklahoma counties, was 739,765.

      • The county with the greatest number of total people was Tulsa (618,184 people).

      • The county with the least number of total people was Cimarron (2,318 people).

    • The average number of total people across all counties was 48,941.

    • The median, also known as the middle-most number, of total people across Oklahoma counties was 21,633.

 
  • For people with disabilities: 

    • The range of people with disabilities across Oklahoma counties, also known as the difference between the largest and smallest counts of people with disabilities across Oklahoma counties, was 98,610.

      • The county with the greatest number of people with disabilities was Tulsa (82,266 people).

      • The county with the least number of people with disabilities was Cimarron (278 people).

    • The average number of people with disabilities across all counties was 7,621.

    • The median, also known as the middle-most number, of people with disabilities across Oklahoma counties was 3,949.

  • For people without disabilities: 

    • The range of people without disabilities across Oklahoma counties, also known as the difference between the largest and smallest counts of people without disabilities across Oklahoma counties, was 641,155.

      • The county with the greatest number of people without disabilities was Tulsa (535,918 people).

      • The county with the leastnumber of people without disabilities was Cimarron (2,040 people).

    • The average number of people without disabilities across all counties was 41,319.

    • The median, also known as the middle-most number, of people without disabilities across Oklahoma counties was 18,443.

 

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

County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Oklahoma     3,768,424 586,824 15.6 3,181,600 84.4 Grady           53,037   8,051 15.2    44,986 84.8
Adair           22,137   4,060 18.3    18,077 81.7 Grant            4,439     724 16.3     3,715 83.7
Alfalfa          4,722     786 16.6     3,936 83.4 Greer            5,041   1,003 19.9     4,038 80.1
Atoka           12,472   2,912 23.3     9,560 76.7 Harmon           2,760     539 19.5     2,221 80.5
Beaver           5,451     515  9.4     4,936 90.6 Harper           3,750     426 11.4     3,324 88.6
Beckham         21,633   3,190 14.7    18,443 85.3 Haskell         12,781   2,918 22.8     9,863 77.2
Blaine           8,081   1,670 20.7     6,411 79.3 Hughes          12,105   2,452 20.3     9,653 79.7
Bryan           43,563   8,413 19.3    35,150 80.7 Jackson         24,460   3,710 15.2    20,750 84.8
Caddo           28,250   5,146 18.2    23,104 81.8 Jefferson        6,189   1,291 20.9     4,898 79.1
Canadian       124,317  16,096 12.9   108,221 87.1 Johnston        10,902   2,814 25.8     8,088 74.2
Carter          47,815   8,419 17.6    39,396 82.4 Kay             44,921   7,804 17.4    37,117 82.6
Cherokee        47,520   8,011 16.9    39,509 83.1 Kingfisher      15,143   2,570 17.0    12,573 83.0
Choctaw         14,942   3,224 21.6    11,718 78.4 Kiowa            9,103   1,860 20.4     7,243 79.6
Cimarron         2,318     278 12.0     2,040 88.0 Latimer         10,566   2,496 23.6     8,070 76.4
Cleveland      263,176  33,756 12.8   229,420 87.2 Le Flore        48,745  10,182 20.9    38,563 79.1
Coal             5,746   1,157 20.1     4,589 79.9 Lincoln         34,103   6,759 19.8    27,344 80.2
Comanche       112,215  19,785 17.6    92,430 82.4 Logan           44,138   5,367 12.2    38,771 87.8
Cotton           5,990   1,223 20.4     4,767 79.6 Love             9,578   1,566 16.3     8,012 83.7
Craig           14,004   3,112 22.2    10,892 77.8 Major            7,636   1,471 19.3     6,165 80.7
Creek           69,960  11,432 16.3    58,528 83.7 Marshall        15,782   4,864 30.8    10,918 69.2
Custer          28,530   4,279 15.0    24,251 85.0 Mayes           40,570   8,108 20.0    32,462 80.0
Delaware        41,030   9,037 22.0    31,993 78.0 McClain         36,235   5,009 13.8    31,226 86.2
Dewey            4,759     821 17.3     3,938 82.7 McCurtain       32,725   6,574 20.1    26,151 79.9
Ellis            4,095     588 14.4     3,507 85.6 McIntosh        19,972   4,704 23.6    15,268 76.4
Garfield        60,096   8,652 14.4    51,444 85.6 Murray          13,324   2,613 19.6    10,711 80.4
Garvin          27,215   3,949 14.5    23,266 85.5 Muskogee        67,393  12,661 18.8    54,732 81.2
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Noble           11,406   1,888 16.6     9,518 83.4                                                   
Nowata          10,351   1,962 19.0     8,389 81.0                                                   
Okfuskee        11,348   2,579 22.7     8,769 77.3                                                   
Oklahoma       742,083  98,888 13.3   643,195 86.7                                                   
Okmulgee        38,801   7,630 19.7    31,171 80.3                                                   
Osage           46,626   8,839 19.0    37,787 81.0                                                   
Ottawa          31,642   5,819 18.4    25,823 81.6                                                   
Pawnee          16,343   3,000 18.4    13,343 81.6                                                   
Payne           78,326   8,757 11.2    69,569 88.8                                                   
Pittsburg       43,047   9,283 21.6    33,764 78.4                                                   
Pontotoc        37,600   5,850 15.6    31,750 84.4                                                   
Pottawatomie    68,859  12,058 17.5    56,801 82.5                                                   
Pushmataha      11,097   3,199 28.8     7,898 71.2                                                   
Roger Mills      3,757     511 13.6     3,246 86.4                                                   
Rogers          88,221  13,374 15.2    74,847 84.8                                                   
Seminole        25,041   5,169 20.6    19,872 79.4                                                   
Sequoyah        41,092   9,862 24.0    31,230 76.0                                                   
Stephens        44,204   8,521 19.3    35,683 80.7                                                   
Texas           21,458   1,988  9.3    19,470 90.7                                                   
Tillman          7,350   1,331 18.1     6,019 81.9                                                   
Tulsa          618,184  82,266 13.3   535,918 86.7                                                   
Wagoner         75,082  11,605 15.5    63,477 84.5                                                   
Washington      51,358   8,455 16.5    42,903 83.5                                                   
Washita         11,426   1,400 12.3    10,026 87.7                                                   
Woods            8,321   1,132 13.6     7,189 86.4                                                   
Woodward        19,966   2,411 12.1    17,555 87.9                                                   

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

Percentage of People with Disabilities for Oklahoma, 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.