2017 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, 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.

Institute on Disability / UCED

UNH.png

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

Stay Connected:
facebook.png instragram.png linkedin.png Twitter.jpg youtube.png       

 

Copyright 2019. Institute on Disability. University of New Hampshire.      

 

 

 

2017 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. 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 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 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 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.

 

 

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., 2019. 2017 State Report for Oklahoma County-Level Data: Prevalence. Durham, NH: University of New Hampshire, Institute on Disability.

Interpretation

The following statements are designed to help understand the 2017 county-level statistics from Oklahoma that are presented:

  • For the number of 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 759,318.
      • The county with the greatest number of total people was Oklahoma (761,515 people).
      • The county with the least number of total people was Cimarron (2,197 people).
    • The average number of total people across all counties was 49,563.
    • The median, also known as the middle-most number, of total people across Oklahoma counties was 21,285.
  • For the number of 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 103,578.
      • The county with the greatest number of people with disabilities was Oklahoma (103,900 people).
      • The county with the least number of people with disabilities was Cimarron (322 people).
    • The average number of people with disabilities across all counties was 7,871.
    • The median, also known as the middle-most number, of people with disabilities across Oklahoma counties was 3,993.
  • For the percentage of people with disabilities:
    • For the entire state of Oklahoma, the overall percentage of people with disabilities is 15.9%.
      • The county with the highest percentage of people with disabilities was Marshall (28.7%).
      • The county with the lowest percentage of people with disabilities was Texas (8.6%).

 

  • For the number of 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 655,740.
      • The county with the greatest number of people without disabilities was Oklahoma (657,615 people).
      • The county with the least number of people without disabilities was Cimarron (1,875 people).
    • The average number of people without disabilities across all counties was 41,692.
    • The median, also known as the middle-most number, of people without disabilities across Oklahoma counties was 18,268.
  • For the percentage of people without disabilities:
    • For the entire state of Oklahoma, the overall percentage of people without disabilities is 84.1%.
      • The county with the highest percentage of people without disabilities was Texas (91.4%).
      • The county with the lowest percentage of people without disabilities was Marshall (71.3%).
Prevalence of People with and without Disabilities for Oklahoma, by County: 2017
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
  Oklahoma   3,816,369 606,072 15.9 3,210,297 84.1    Grady        53,846   8,914 16.6    44,932 83.4
   Adair        22,006   4,350 19.8    17,656 80.2    Grant         4,375     698 16.0     3,677 84.0
  Alfalfa        4,830     786 16.3     4,044 83.7    Greer         4,986     924 18.5     4,062 81.5
   Atoka        12,255   2,740 22.4     9,515 77.6    Harmon        2,655     525 19.8     2,130 80.2
   Beaver        5,361     528  9.8     4,833 90.2    Harper        3,824     532 13.9     3,292 86.1
  Beckham       21,284   3,016 14.2    18,268 85.8   Haskell       12,686   2,973 23.4     9,713 76.6
   Blaine        8,178   1,689 20.7     6,489 79.3    Hughes       11,894   2,374 20.0     9,520 80.0
   Bryan        44,611   9,586 21.5    35,025 78.5   Jackson       24,107   3,821 15.9    20,286 84.1
   Caddo        28,419   6,099 21.5    22,320 78.5  Jefferson       6,126   1,495 24.4     4,631 75.6
  Canadian     131,086  17,427 13.3   113,659 86.7   Johnston      10,911   2,587 23.7     8,324 76.3
   Carter       47,753   9,198 19.3    38,555 80.7     Kay         44,496   8,451 19.0    36,045 81.0
  Cherokee      47,972   8,219 17.1    39,753 82.9  Kingfisher     15,350   2,602 17.0    12,748 83.0
  Choctaw       14,804   3,129 21.1    11,675 78.9    Kiowa         8,933   1,819 20.4     7,114 79.6
  Cimarron       2,197     322 14.7     1,875 85.3   Latimer       10,424   2,570 24.7     7,854 75.3
 Cleveland     268,406  35,096 13.1   233,310 86.9   Le Flore      48,731  10,623 21.8    38,108 78.2
    Coal         5,598   1,264 22.6     4,334 77.4   Lincoln       34,384   6,562 19.1    27,822 80.9
  Comanche     110,771  20,301 18.3    90,470 81.7    Logan        44,956   5,975 13.3    38,981 86.7
   Cotton        5,858   1,160 19.8     4,698 80.2     Love         9,758   1,800 18.4     7,958 81.6
   Craig        13,817   3,255 23.6    10,562 76.4    Major         7,636   1,435 18.8     6,201 81.2
   Creek        70,086   9,754 13.9    60,332 86.1   Marshall      15,974   4,590 28.7    11,384 71.3
   Custer       28,686   4,098 14.3    24,588 85.7    Mayes        40,487   9,024 22.3    31,463 77.7
  Delaware      41,497   9,884 23.8    31,613 76.2   McClain       37,598   5,002 13.3    32,596 86.7
   Dewey         4,801     747 15.6     4,054 84.4  McCurtain      32,623   6,530 20.0    26,093 80.0
   Ellis         4,060     570 14.0     3,490 86.0   McIntosh      19,577   4,740 24.2    14,837 75.8
  Garfield      60,342   8,772 14.5    51,570 85.5    Murray       13,411   2,921 21.8    10,490 78.2
   Garvin       27,502   3,993 14.5    23,509 85.5   Muskogee      66,591  12,244 18.4    54,347 81.6
Prevalence of People with and without Disabilities for Oklahoma, by County: 2017
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
   Noble        11,325   1,877 16.6     9,448 83.4                                                   
   Nowata       10,254   1,757 17.1     8,497 82.9                                                   
  Okfuskee      11,177   2,139 19.1     9,038 80.9                                                   
  Oklahoma     761,515 103,900 13.6   657,615 86.4                                                   
  Okmulgee      38,447   7,465 19.4    30,982 80.6                                                   
   Osage        45,964   8,572 18.6    37,392 81.4                                                   
   Ottawa       31,274   5,997 19.2    25,277 80.8                                                   
   Pawnee       16,286   2,843 17.5    13,443 82.5                                                   
   Payne        79,490   9,402 11.8    70,088 88.2                                                   
 Pittsburg      42,801   9,769 22.8    33,032 77.2                                                   
  Pontotoc      37,829   5,820 15.4    32,009 84.6                                                   
Pottawatomie    69,464  12,242 17.6    57,222 82.4                                                   
 Pushmataha     11,013   3,150 28.6     7,863 71.4                                                   
Roger Mills      3,715     471 12.7     3,244 87.3                                                   
   Rogers       89,050  13,483 15.1    75,567 84.9                                                   
  Seminole      24,787   5,295 21.4    19,492 78.6                                                   
  Sequoyah      40,984  10,174 24.8    30,810 75.2                                                   
  Stephens      43,669   8,526 19.5    35,143 80.5                                                   
   Texas        21,285   1,830  8.6    19,455 91.4                                                   
  Tillman        7,237   1,339 18.5     5,898 81.5                                                   
   Tulsa       632,310  86,337 13.7   545,973 86.3                                                   
  Wagoner       76,551  12,227 16.0    64,324 84.0                                                   
 Washington     51,477   8,289 16.1    43,188 83.9                                                   
  Washita       11,292   1,424 12.6     9,868 87.4                                                   
   Woods         8,512   1,280 15.0     7,232 85.0                                                   
  Woodward      20,142   2,750 13.7    17,392 86.3                                                   
Count of People with Disabilities for Oklahoma, by County: 2017

Percentage of People with Disabilities for Oklahoma, by County: 2017

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
University of New Hampshire, Institute on Disability
10 West Edge Drive, Suite 101
Durham, NH 03824
Toll-Free Telephone/TTY: 866-538-9521
E-mail: Disability.Statistics@unh.edu
https://www.researchondisability.org