2015 State Report for County-Level Data: Prevalence

Acknowledgements

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, Karen Volle, and Anna Brennan-Curry.

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 90RTGE0001-01-00; and the Rehabilitation Research and Training Center on Employment Policy and Measurement (EPM-RRTC), also funded by NIDILRR, grant number 90RT5037-03-00. 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.

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2015 Kansas Report for County-Level Data: Prevalence

 

 

 

 

 

 

 

 

 

 

Rehabilitation Research and Training Center on

Disability Statistics and Demographics

A NIDILRR-Funded Center

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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. This report is intended to be an online complement 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 come 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 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 (see glossary for further details).

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.

 

 

Additional Resources. The Annual Disability Statistics Compendium and its complement, the Annual Disability Statistics Supplement, are summaries of statistics about people with disabilities and are available both in hard copy and online at https://www.disabilitycompendium.org.

Help navigating any of the resources described here can be found in the Frequently Asked Questions section at https://www.disabilitycompendium.org/faq. Assistance interpreting and locating additional statistics is available via our toll-free number, 866.538.9521, or by email, disability.statistics@unh.edu. For more information about our research projects, please visit https://www.researchondisability.org.

Suggested Citation. Boege, S.L., Lauer, E.A., & Houtenville, A.J., 2019. 2015 State Report for Kansas County-Level Data: Prevalence. Durham, NH: University of New Hampshire, Institute on Disability.

Interpretation

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

  • For the number of 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 the number of 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 the percentage of people with disabilities:
    • For the entire state of Kansas, the overall percentage of people with disabilities is 12.4%.
      • The county with the highest percentage of people with disabilities was Chautauqua (22.7%).
      • The county with the lowest percentage of people with disabilities was Seward (7.7%).

 

  • For the number of 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 least number 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.
  • For the percentage of people without disabilities: 
    • For the entire state of Kansas, the overall percentage of people without disabilities is 87.6%.
      • The county with the highest percentage of people without disabilities was Seward (92.3%).
      • The county with the lowest percentage of people without disabilities was Chautauqua (77.3%).
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
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 %
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
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 %
  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.

Additional links to resources for the ACS:

Glossary

American Community Survey (ACS) — The American Community Survey is a large, continuous demographic survey conducted by the U.S. Census Bureau that will provide accurate and up-to-date profiles of America’s communities every year. Annual and multiyear estimates of population and housing data are generated for small areas, including tracts and population subgroups. This information is collected by mailing questionnaires to a sample of addresses. See the U.S. Census Bureau website for additional details.

The Six Disability Questions in the American Community Survey:

  1. Is this person deaf or does he/she have serious difficulty hearing? (yes or no)
  2. Is this person blind or does he/she have serious difficulty seeing even when wearing glasses? (yes or no)
  3. (If person 5 years old or over) Because of a physical, mental, or emotional condition, does this person have serious difficulty concentrating, remembering, or making decisions? (yes or no)
  4. (If person 5 years or old over) Does this person have serious difficulty walking or climbing stairs? (yes or no)
  5. (If person 5 years old or over) Does this person have difficulty dressing or bathing? (yes or no)
  6. (If person 15 years old or over) Because of a physical, mental, or emotional condition, does this person have difficulty doing errands alone such as visiting a doctor’s office or shopping? (yes or no)

Average — The sum of all of the values in a sample divided by the number of values in the sample.

Civilian — A person not in active-duty military.

Median — The middlemost value of a sample that separates the upper half of the values from the lower half of the values. 

Non-Institutionalized Population — Describes individuals who are residing in the community and who are not living in institutions such as jails, prisons, nursing homes, hospitals, etc.

Population — The total number of inhabitants in a defined geographic area including all races, classes, and groups.

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.

Prevalence Rate — The prevalence of a particular status or condition estimated over a specific period of time.

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. 

Sampling Variability — The variation of a statistic when estimated from repeated samples.

United States Census Bureau — An agency within the United States Federal Statistical System tasked with producing data about the American people and economy. Their primary task is to conduct the United States Census every ten years.

About the Center

Rehabilitation Research and Training Center on Disability Statistics and Demographics (StatsRRTC)

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 90RTGE00010100, from 2018–2023.

Employment Policy and Measurement Rehabilitation Research and Training Center (EPM-RRTC)

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.

Contact Information
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