2019 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, Ferris Al Kurabi, Kate Filanoski, Kim Phillips, Karen Volle, Romy Eberle and Toni Sumner-Beebe.

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; and the Rehabilitation Research and Training Center on Employment Policy and Measurement (EPM-RRTC), also funded by NIDILRR, grant number 90RT5037. 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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2019 Oklahoma 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 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. Paul, S., Rafal, M., & Houtenville, A. (2020). 2019 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 2019 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 773,061.
      • The county with the greatest number of total people was Oklahoma (775,218 people).
      • The county with the least number of total people was Cimarron (2,157 people).
    • The average number of total people across all counties was 50,016.
    • The median, also known as the middle-most number, of total people across Oklahoma counties was 20,685.
  • 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 105,651.
      • The county with the greatest number of people with disabilities was Oklahoma (106,028 people).
      • The county with the least number of people with disabilities was Cimarron (377 people).
    • The average number of people with disabilities across all counties was 8,029.
    • The median, also known as the middle-most number, of people with disabilities across Oklahoma counties was 3,604.
  • For the percentage of people with disabilities:
    • For the entire state of Oklahoma, the overall percentage of people with disabilities is 16.1%.
      • The county with the highest percentage of people with disabilities was Pushmataha (27.2%).
      • The county with the lowest percentage of people with disabilities was Texas (7.5%).

 

  • 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 667,410.
      • The county with the greatest number of people without disabilities was Oklahoma (669,190 people).
      • The county with the least number of people without disabilities was Cimarron (1,780 people).
    • The average number of people without disabilities across all counties was 41,987.
    • The median, also known as the middle-most number, of people without disabilities across Oklahoma counties was 17,865.
  • For the percentage of people without disabilities:
    • For the entire state of Oklahoma, the overall percentage of people without disabilities is 83.9%.
      • The county with the highest percentage of people without disabilities was Texas (92.5%).
      • The county with the lowest percentage of people without disabilities was Pushmataha (72.8%).
Prevalence of People with and without Disabilities for Oklahoma, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
  Oklahoma   3,851,223 618,197 16.1 3,233,026 83.9    Grady        54,542   9,376 17.2    45,166 82.8
   Adair        22,078   4,213 19.1    17,865 80.9    Grant         4,292     777 18.1     3,515 81.9
  Alfalfa        4,745     865 18.2     3,880 81.8    Greer         4,822     999 20.7     3,823 79.3
   Atoka        12,337   2,858 23.2     9,479 76.8    Harmon        2,618     572 21.8     2,046 78.2
   Beaver        5,298     620 11.7     4,678 88.3    Harper        3,730     790 21.2     2,940 78.8
  Beckham       20,219   2,892 14.3    17,327 85.7   Haskell       12,623   3,110 24.6     9,513 75.4
   Blaine        8,055   1,543 19.2     6,512 80.8    Hughes       11,921   2,272 19.1     9,649 80.9
   Bryan        45,993   9,982 21.7    36,011 78.3   Jackson       23,516   3,604 15.3    19,912 84.7
   Caddo        27,929   5,694 20.4    22,235 79.6  Jefferson       6,013   1,446 24.0     4,567 76.0
  Canadian     138,461  18,391 13.3   120,070 86.7   Johnston      10,942   2,524 23.1     8,418 76.9
   Carter       47,692   9,326 19.6    38,366 80.4     Kay         43,691   9,095 20.8    34,596 79.2
  Cherokee      48,254   8,824 18.3    39,430 81.7  Kingfisher     15,525   2,202 14.2    13,323 85.8
  Choctaw       14,624   3,537 24.2    11,087 75.8    Kiowa         8,687   1,827 21.0     6,860 79.0
  Cimarron       2,157     377 17.5     1,780 82.5   Latimer       10,137   2,430 24.0     7,707 76.0
 Cleveland     273,487  36,869 13.5   236,618 86.5   Le Flore      48,819  10,856 22.2    37,963 77.8
    Coal         5,511   1,360 24.7     4,151 75.3   Lincoln       34,521   6,613 19.2    27,908 80.8
  Comanche     108,744  20,994 19.3    87,750 80.7    Logan        46,284   6,902 14.9    39,382 85.1
   Cotton        5,729   1,266 22.1     4,463 77.9     Love         9,983   2,231 22.3     7,752 77.7
   Craig        13,593   3,062 22.5    10,531 77.5    Major         7,586   1,171 15.4     6,415 84.6
   Creek        70,625   9,599 13.6    61,026 86.4   Marshall      16,305   4,360 26.7    11,945 73.3
   Custer       28,625   3,571 12.5    25,054 87.5    Mayes        40,611   9,384 23.1    31,227 76.9
  Delaware      42,058   9,888 23.5    32,170 76.5   McClain       38,857   4,931 12.7    33,926 87.3
   Dewey         4,826     714 14.8     4,112 85.2  McCurtain      32,639   6,661 20.4    25,978 79.6
   Ellis         3,959     682 17.2     3,277 82.8   McIntosh      19,438   4,760 24.5    14,678 75.5
  Garfield      59,739   9,069 15.2    50,670 84.8    Murray       13,563   3,232 23.8    10,331 76.2
   Garvin       27,584   4,317 15.7    23,267 84.3   Muskogee      65,760  11,812 18.0    53,948 82.0
Prevalence of People with and without Disabilities for Oklahoma, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
   Noble        11,247   2,018 17.9     9,229 82.1                                                   
   Nowata       10,156   1,684 16.6     8,472 83.4                                                   
  Okfuskee      11,045   2,106 19.1     8,939 80.9                                                   
  Oklahoma     775,218 106,028 13.7   669,190 86.3                                                   
  Okmulgee      38,077   8,130 21.4    29,947 78.6                                                   
   Osage        45,806   8,299 18.1    37,507 81.9                                                   
   Ottawa       30,996   6,330 20.4    24,666 79.6                                                   
   Pawnee       16,246   2,600 16.0    13,646 84.0                                                   
   Payne        80,350   9,748 12.1    70,602 87.9                                                   
 Pittsburg      42,174  10,378 24.6    31,796 75.4                                                   
  Pontotoc      37,859   6,019 15.9    31,840 84.1                                                   
Pottawatomie    70,235  12,363 17.6    57,872 82.4                                                   
 Pushmataha     11,018   2,996 27.2     8,022 72.8                                                   
Roger Mills      3,652     546 15.0     3,106 85.0                                                   
   Rogers       90,246  13,484 14.9    76,762 85.1                                                   
  Seminole      24,405   5,637 23.1    18,768 76.9                                                   
  Sequoyah      41,268   9,187 22.3    32,081 77.7                                                   
  Stephens      43,057   8,733 20.3    34,324 79.7                                                   
   Texas        20,685   1,542  7.5    19,143 92.5                                                   
  Tillman        7,070   1,472 20.8     5,598 79.2                                                   
   Tulsa       641,435  86,840 13.5   554,595 86.5                                                   
  Wagoner       78,663  13,342 17.0    65,321 83.0                                                   
 Washington     51,473   7,932 15.4    43,541 84.6                                                   
  Washita       10,923   1,616 14.8     9,307 85.2                                                   
   Woods         8,464   1,430 16.9     7,034 83.1                                                   
  Woodward      19,708   3,287 16.7    16,421 83.3                                                   
Count of People with Disabilities for Oklahoma, by County: 2019

Percentage of People with Disabilities for Oklahoma, by County: 2019

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 90RTGE0001, 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.

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