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
10 West Edge Drive, Suite 101
Durham, NH 03284
603.862.4320 | relay: 711 | contact.iod@unh.edu
www.iod.unh.edu

2015 Kansas 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 Kansas.

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 Kansas, 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 Kansas that are presented:

  • For people with and without disabilities: 

    • The range of total people across Kansas counties, also known as the difference between the largest and smallest counts of people across Kansas counties, was 561,342.

      • The county with the greatest number of total people was Johnson (562,538 people).

      • The county with the least number of total people was Greeley (1,196 people).

    • The average number of total people across all counties was 26,989.

    • The median, also known as the middle-most number, of total people across Kansas counties was 6,894.

 
  • For people with disabilities: 

    • The range of people with disabilities across Kansas counties, also known as the difference between the largest and smallest counts of people with disabilities across Kansas counties, was 59,017.

      • The county with the greatest number of people with disabilities was Sedgwick (59,197 people).

      • The county with the least number of people with disabilities was Greeley (180 people).

    • The average number of people with disabilities across all counties was 3,342.

    • The median, also known as the middle-most number, of people with disabilities across Kansas counties was 1,089.

  • For people without disabilities: 

    • The range of people without disabilities across Kansas counties, also known as the difference between the largest and smallest counts of people without disabilities across Kansas counties, was 511,621.

      • The county with the greatest number of people without disabilities was Johnson (512,637 people).

      • The county with the leastnumber of people without disabilities was Greeley (1,016 people).

    • The average number of people without disabilities across all counties was 23,647.

    • The median, also known as the middle-most number, of people without disabilities across Kansas counties was 5,889.

 

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

County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Kansas       2,833,872 350,945 12.4 2,482,927 87.6 Ellis           28,717   3,220 11.2    25,497 88.8
Allen           12,876   2,470 19.2    10,406 80.8 Ellsworth        5,399     885 16.4     4,514 83.6
Anderson         7,794   1,089 14.0     6,705 86.0 Finney          36,889   3,611  9.8    33,278 90.2
Atchison        16,457   2,727 16.6    13,730 83.4 Ford            34,244   3,427 10.0    30,817 90.0
Barber           4,729     654 13.8     4,075 86.2 Franklin        25,591   3,597 14.1    21,994 85.9
Barton          26,988   3,785 14.0    23,203 86.0 Geary           31,646   3,584 11.3    28,062 88.7
Bourbon         14,539   2,625 18.1    11,914 81.9 Gove             2,681     352 13.1     2,329 86.9
Brown            9,809   1,640 16.7     8,169 83.3 Graham           2,565     457 17.8     2,108 82.2
Butler          64,091   7,890 12.3    56,201 87.7 Grant            7,737     724  9.4     7,013 90.6
Chase            2,602     437 16.8     2,165 83.2 Gray             5,979     661 11.1     5,318 88.9
Chautauqua       3,443     781 22.7     2,662 77.3 Greeley          1,196     180 15.1     1,016 84.9
Cherokee        20,731   4,052 19.5    16,679 80.5 Greenwood        6,303   1,203 19.1     5,100 80.9
Cheyenne         2,641     418 15.8     2,223 84.2 Hamilton         2,586     296 11.4     2,290 88.6
Clark            2,085     289 13.9     1,796 86.1 Harper           5,703     802 14.1     4,901 85.9
Clay             8,122   1,181 14.5     6,941 85.5 Harvey          34,201   4,471 13.1    29,730 86.9
Cloud            9,114   1,335 14.6     7,779 85.4 Haskell          4,077     347  8.5     3,730 91.5
Coffey           8,346   1,145 13.7     7,201 86.3 Hodgeman         1,904     299 15.7     1,605 84.3
Comanche         1,936     275 14.2     1,661 85.8 Jackson         13,272   1,968 14.8    11,304 85.2
Cowley          34,869   5,520 15.8    29,349 84.2 Jefferson       18,641   2,449 13.1    16,192 86.9
Crawford        38,676   6,120 15.8    32,556 84.2 Jewell           3,011     465 15.4     2,546 84.6
Decatur          2,819     548 19.4     2,271 80.6 Johnson        562,538  49,901  8.9   512,637 91.1
Dickinson       19,032   3,198 16.8    15,834 83.2 Kearny           3,876     406 10.5     3,470 89.5
Doniphan         7,746   1,111 14.3     6,635 85.7 Kingman          7,639   1,225 16.0     6,414 84.0
Douglas        114,257  11,153  9.8   103,104 90.2 Kiowa            2,467     371 15.0     2,096 85.0
Edwards          2,896     455 15.7     2,441 84.3 Labette         20,741   3,841 18.5    16,900 81.5
Elk              2,635     540 20.5     2,095 79.5 Lane             1,665     256 15.4     1,409 84.6
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Leavenworth     71,129  10,409 14.6    60,720 85.4 Reno            61,564   8,751 14.2    52,813 85.8
Lincoln          3,088     464 15.0     2,624 85.0 Republic         4,708     714 15.2     3,994 84.8
Linn             9,458   1,815 19.2     7,643 80.8 Rice             9,816   1,303 13.3     8,513 86.7
Logan            2,753     340 12.4     2,413 87.6 Riley           68,323   5,644  8.3    62,679 91.7
Lyon            33,049   4,482 13.6    28,567 86.4 Rooks            5,029     822 16.3     4,207 83.7
Marion          11,948   1,899 15.9    10,049 84.1 Rush             3,118     520 16.7     2,598 83.3
Marshall         9,818   1,475 15.0     8,343 85.0 Russell          6,864   1,222 17.8     5,642 82.2
McPherson       28,617   3,040 10.6    25,577 89.4 Saline          54,933   6,906 12.6    48,027 87.4
Meade            4,256     443 10.4     3,813 89.6 Scott            4,847     566 11.7     4,281 88.3
Miami           32,096   3,707 11.5    28,389 88.5 Sedgwick       500,080  59,197 11.8   440,883 88.2
Mitchell         6,143     896 14.6     5,247 85.4 Seward          23,066   1,772  7.7    21,294 92.3
Montgomery      33,643   5,934 17.6    27,709 82.4 Shawnee        175,531  25,612 14.6   149,919 85.4
Morris           5,669     826 14.6     4,843 85.4 Sheridan         2,502     373 14.9     2,129 85.1
Morton           3,014     375 12.4     2,639 87.6 Sherman          6,000   1,113 18.6     4,887 81.5
Nemaha           9,890   1,246 12.6     8,644 87.4 Smith            3,682     658 17.9     3,024 82.1
Neosho          16,195   2,950 18.2    13,245 81.8 Stafford         4,212     661 15.7     3,551 84.3
Ness             3,020     433 14.3     2,587 85.7 Stanton          2,113     275 13.0     1,838 87.0
Norton           4,754     719 15.1     4,035 84.9 Stevens          5,698     571 10.0     5,127 90.0
Osage           15,874   2,612 16.5    13,262 83.5 Sumner          23,155   3,180 13.7    19,975 86.3
Osborne          3,677     620 16.9     3,057 83.1 Thomas           7,809     952 12.2     6,857 87.8
Ottawa           5,953     855 14.4     5,098 85.6 Trego            2,878     292 10.1     2,586 89.9
Pawnee           5,900     991 16.8     4,909 83.2 Wabaunsee        6,894   1,005 14.6     5,889 85.4
Phillips         5,383     836 15.5     4,547 84.5 Wallace          1,577     227 14.4     1,350 85.6
Pottawatomie    22,150   2,115  9.5    20,035 90.5 Washington       5,553     789 14.2     4,764 85.8
Pratt            9,532   1,491 15.6     8,041 84.4 Wichita          2,180     265 12.2     1,915 87.8
Rawlins          2,504     427 17.1     2,077 82.9 Wilson           8,935   1,991 22.3     6,944 77.7
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Woodson          3,187     566 17.8     2,621 82.2                                                   
Wyandotte      159,604  23,162 14.5   136,442 85.5                                                   
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     

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

Percentage of People with Disabilities for Kansas, 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.