2018 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, Kate Filanoski, Adam Lavoie, Kim Phillips, 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 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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Copyright 2020. Institute on Disability. University of New Hampshire.      

 

 

 

2018 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, 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., 2020. 2018 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 2018 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 580,467.
      • The county with the greatest number of total people was Johnson (581,636 people).
      • The county with the least number of total people was Greeley (1,169 people).
    • The average number of total people across all counties was 27,136.
    • The median, also known as the middle-most number, of total people across Kansas counties was 6,857.
  • 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 64,784.
      • The county with the greatest number of people with disabilities was Sedgwick (64,999 people).
      • The county with the least number of people with disabilities was Comanche (215 people).
    • The average number of people with disabilities across all counties was 3,515.
    • The median, also known as the middle-most number, of people with disabilities across Kansas counties was 1,057.
  • For the percentage of people with disabilities:
    • For the entire state of Kansas, the overall percentage of people with disabilities is 13.0%.
      • The county with the highest percentage of people with disabilities was Elk (25.5%).
      • The county with the lowest percentage of people with disabilities was Haskell (7.1%).

 

  • 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 526,961.
      • The county with the greatest number of people without disabilities was Johnson (527,894 people).
      • The county with the least number of people without disabilities was Greeley (933 people).
    • The average number of people without disabilities across all counties was 23,621.
    • The median, also known as the middle-most number, of people without disabilities across Kansas counties was 5,712.
  • For the percentage of people without disabilities:
    • For the entire state of Kansas, the overall percentage of people without disabilities is 87.0%.
      • The county with the highest percentage of people without disabilities was Haskell (92.9%).
      • The county with the lowest percentage of people without disabilities was Elk (74.5%).
Prevalence of People with and without Disabilities for Kansas, by County: 2018
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
   Kansas    2,849,329 369,095 13.0 2,480,234 87.0    Ellis        28,652   3,413 11.9    25,239 88.1
   Allen        12,425   2,271 18.3    10,154 81.7  Ellsworth       5,423     951 17.5     4,472 82.5
  Anderson       7,744   1,058 13.7     6,686 86.3    Finney       36,729   3,894 10.6    32,835 89.4
  Atchison      16,184   2,469 15.3    13,715 84.7     Ford        33,970   3,439 10.1    30,531 89.9
   Barber        4,693     742 15.8     3,951 84.2   Franklin      25,374   3,527 13.9    21,847 86.1
   Barton       26,395   4,011 15.2    22,384 84.8    Geary        29,124   3,648 12.5    25,476 87.5
  Bourbon       14,432   2,963 20.5    11,469 79.5     Gove         2,574     402 15.6     2,172 84.4
   Brown         9,579   1,532 16.0     8,047 84.0    Graham        2,515     498 19.8     2,017 80.2
   Butler       63,928   7,276 11.4    56,652 88.6    Grant         7,513     713  9.5     6,800 90.5
   Chase         2,553     441 17.3     2,112 82.7     Gray         5,951     654 11.0     5,297 89.0
 Chautauqua      3,314     738 22.3     2,576 77.7   Greeley        1,169     236 20.2       933 79.8
  Cherokee      20,122   4,528 22.5    15,594 77.5  Greenwood       6,051   1,277 21.1     4,774 78.9
  Cheyenne       2,642     416 15.7     2,226 84.3   Hamilton       2,616     342 13.1     2,274 86.9
   Clark         1,992     273 13.7     1,719 86.3    Harper        5,527     856 15.5     4,671 84.5
    Clay         7,887   1,187 15.1     6,700 84.9    Harvey       33,909   5,180 15.3    28,729 84.7
   Cloud         8,812   1,239 14.1     7,573 85.9   Haskell        3,989     283  7.1     3,706 92.9
   Coffey        8,192   1,356 16.6     6,836 83.4   Hodgeman       1,810     240 13.3     1,570 86.7
  Comanche       1,708     215 12.6     1,493 87.4   Jackson       13,184   2,368 18.0    10,816 82.0
   Cowley       34,365   5,919 17.2    28,446 82.8  Jefferson      18,639   2,745 14.7    15,894 85.3
  Crawford      38,462   6,027 15.7    32,435 84.3    Jewell        2,884     538 18.7     2,346 81.3
  Decatur        2,806     479 17.1     2,327 82.9   Johnson      581,636  53,742  9.2   527,894 90.8
 Dickinson      18,632   3,295 17.7    15,337 82.3    Kearny        3,876     475 12.3     3,401 87.7
  Doniphan       7,616   1,236 16.2     6,380 83.8   Kingman        7,346   1,057 14.4     6,289 85.6
  Douglas      118,583  12,555 10.6   106,028 89.4    Kiowa         2,458     368 15.0     2,090 85.0
  Edwards        2,836     389 13.7     2,447 86.3   Labette       20,033   3,822 19.1    16,211 80.9
    Elk          2,528     644 25.5     1,884 74.5     Lane         1,634     271 16.6     1,363 83.4
Prevalence of People with and without Disabilities for Kansas, by County: 2018
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Leavenworth     72,867  10,985 15.1    61,882 84.9     Reno        60,629   9,009 14.9    51,620 85.1
  Lincoln        3,034     513 16.9     2,521 83.1   Republic       4,594     627 13.6     3,967 86.4
    Linn         9,575   1,834 19.2     7,741 80.8     Rice         9,554   1,517 15.9     8,037 84.1
   Logan         2,770     391 14.1     2,379 85.9    Riley        68,492   7,024 10.3    61,468 89.7
    Lyon        32,892   4,418 13.4    28,474 86.6    Rooks         4,924     767 15.6     4,157 84.4
   Marion       11,671   1,883 16.1     9,788 83.9     Rush         3,032     504 16.6     2,528 83.4
  Marshall       9,642   1,511 15.7     8,131 84.3   Russell        6,857   1,249 18.2     5,608 81.8
 McPherson      27,950   3,591 12.8    24,359 87.2    Saline       54,168   7,927 14.6    46,241 85.4
   Meade         4,139     412 10.0     3,727 90.0    Scott         4,849     412  8.5     4,437 91.5
   Miami        32,465   4,278 13.2    28,187 86.8   Sedgwick     506,515  64,999 12.8   441,516 87.2
  Mitchell       6,069     952 15.7     5,117 84.3    Seward       22,490   1,722  7.7    20,768 92.3
 Montgomery     32,452   6,159 19.0    26,293 81.0   Shawnee      174,799  24,168 13.8   150,631 86.2
   Morris        5,481     947 17.3     4,534 82.7   Sheridan       2,478     370 14.9     2,108 85.1
   Morton        2,755     450 16.3     2,305 83.7   Sherman        5,899   1,036 17.6     4,863 82.4
   Nemaha        9,830   1,309 13.3     8,521 86.7    Smith         3,602     648 18.0     2,954 82.0
   Neosho       15,926   2,907 18.3    13,019 81.7   Stafford       4,099     614 15.0     3,485 85.0
    Ness         2,905     483 16.6     2,422 83.4   Stanton        2,034     371 18.2     1,663 81.8
   Norton        4,665     560 12.0     4,105 88.0   Stevens        5,556     599 10.8     4,957 89.2
   Osage        15,685   2,644 16.9    13,041 83.1    Sumner       22,730   3,315 14.6    19,415 85.4
  Osborne        3,501     637 18.2     2,864 81.8    Thomas        7,710   1,118 14.5     6,592 85.5
   Ottawa        5,815     742 12.8     5,073 87.2    Trego         2,772     357 12.9     2,415 87.1
   Pawnee        5,638   1,038 18.4     4,600 81.6  Wabaunsee       6,792   1,080 15.9     5,712 84.1
  Phillips       5,308     849 16.0     4,459 84.0   Wallace        1,553     276 17.8     1,277 82.2
Pottawatomie    22,964   2,319 10.1    20,645 89.9  Washington      5,392     748 13.9     4,644 86.1
   Pratt         9,333   1,047 11.2     8,286 88.8   Wichita        2,113     449 21.2     1,664 78.8
  Rawlins        2,471     472 19.1     1,999 80.9    Wilson        8,646   1,938 22.4     6,708 77.6
Prevalence of People with and without Disabilities for Kansas, by County: 2018
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
  Woodson        3,161     715 22.6     2,446 77.4                                                   
 Wyandotte     163,070  24,007 14.7   139,063 85.3                                                   
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
                                                                                                     
Count of People with Disabilities for Kansas, by County: 2018

Percentage of People with Disabilities for Kansas, by County: 2018

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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