2016 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.

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2016 Ohio 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 Ohio. 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 Ohio, 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. 2016 State Report for Ohio County-Level Data: Prevalence. Durham, NH: University of New Hampshire, Institute on Disability.

Interpretation

The following statements are designed to help understand the 2016 county-level statistics from Ohio that are presented:

  • For the number of people with and without disabilities:
    • The range of total people across Ohio counties, also known as the difference between the largest and smallest counts of people across Ohio counties, was 1,231,534.
      • The county with the greatest number of total people was Cuyahoga (1,243,379 people).
      • The county with the least number of total people was Noble (11,845 people).
    • The average number of total people across all counties was 129,704.
    • The median, also known as the middle-most number, of total people across Ohio counties was 56,462.
  • For the number of people with disabilities: 
    • The range of people with disabilities across Ohio counties, also known as the difference between the largest and smallest counts of people with disabilities across Ohio counties, was 181,915.
      • The county with the greatest number of people with disabilities was Cuyahoga (183,808 people).
      • The county with the least number of people with disabilities was Noble (1,893 people).
    • The average number of people with disabilities across all counties was 17,860.
    • The median, also known as the middle-most number, of people with disabilities across Ohio counties was 7,974.
  • For the percentage of people with disabilities:
    • For the entire state of Ohio, the overall percentage of people with disabilities is 13.8%.
      • The county with the highest percentage of people with disabilities was Pike (23.1%).
      • The county with the lowest percentage of people with disabilities was Delaware (7.4%).

 

  • For the number of people without disabilities:
    • The range of people without disabilities across Ohio counties, also known as the difference between the largest and smallest counts of people without disabilities across Ohio counties, was 1,073,454.
      • The county with the greatest number of people without disabilities was Franklin (1,083,406 people).
      • The county with the least number of people without disabilities was Noble (9,952 people).
    • The average number of people without disabilities across all counties was 111,845.
    • The median, also known as the middle-most number, of people without disabilities across Ohio counties was 47,394.
  • For the percentage of people without disabilities:
    • For the entire state of Ohio, the overall percentage of people without disabilities is 86.2%.
      • The county with the highest percentage of people without disabilities was Delaware (92.6%).
      • The county with the lowest percentage of people without disabilities was Pike (76.9%).
Prevalence of People with and without Disabilities for Ohio, by County: 2016
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
   Ohio    11,413,979 1,571,654 13.8 9,842,325 86.2   Fulton       42,077     5,620 13.4    36,457 86.6
  Adams        27,848     5,794 20.8    22,054 79.2   Gallia       29,998     5,933 19.8    24,065 80.2
  Allen       102,085    15,474 15.2    86,611 84.8   Geauga       93,367     9,845 10.5    83,522 89.5
 Ashland       52,783     7,657 14.5    45,126 85.5   Greene      160,467    19,825 12.4   140,642 87.6
Ashtabula      96,088    15,331 16.0    80,757 84.0  Guernsey      38,985     7,023 18.0    31,962 82.0
  Athens       64,403    10,134 15.7    54,269 84.3  Hamilton     798,045   100,363 12.6   697,682 87.4
 Auglaize      45,361     5,365 11.8    39,996 88.2  Hancock       74,856     8,507 11.4    66,349 88.6
 Belmont       65,433    10,984 16.8    54,449 83.2   Hardin       31,452     4,266 13.6    27,186 86.4
  Brown        43,513     6,806 15.6    36,707 84.4  Harrison      15,265     2,586 16.9    12,679 83.1
  Butler      370,330    43,218 11.7   327,112 88.3   Henry        27,492     3,877 14.1    23,615 85.9
 Carroll       27,828     3,903 14.0    23,925 86.0  Highland      42,690     8,034 18.8    34,656 81.2
Champaign      38,687     5,838 15.1    32,849 84.9  Hocking       28,056     4,867 17.3    23,189 82.7
  Clark       134,417    22,198 16.5   112,219 83.5   Holmes       42,916     3,779  8.8    39,137 91.2
 Clermont     199,788    25,513 12.8   174,275 87.2   Huron        58,184     7,913 13.6    50,271 86.4
 Clinton       41,537     6,188 14.9    35,349 85.1  Jackson       32,385     6,875 21.2    25,510 78.8
Columbiana    101,691    16,194 15.9    85,497 84.1 Jefferson      66,863    12,310 18.4    54,553 81.6
Coshocton      36,273     5,012 13.8    31,261 86.2    Knox        60,294     8,479 14.1    51,815 85.9
 Crawford      41,907     7,164 17.1    34,743 82.9    Lake       227,172    27,819 12.2   199,353 87.8
 Cuyahoga   1,243,379   183,808 14.8 1,059,571 85.2  Lawrence      60,918    13,107 21.5    47,811 78.5
  Darke        51,572     7,633 14.8    43,939 85.2  Licking      168,423    23,367 13.9   145,056 86.1
 Defiance      38,187     5,039 13.2    33,148 86.8   Logan        45,073     6,508 14.4    38,565 85.6
 Delaware     188,101    13,957  7.4   174,144 92.6   Lorain      297,506    45,940 15.4   251,566 84.6
   Erie        74,861    10,546 14.1    64,315 85.9   Lucas       429,550    65,467 15.2   364,083 84.8
Fairfield     147,508    19,821 13.4   127,687 86.6  Madison       38,607     5,849 15.2    32,758 84.8
 Fayette       28,258     4,601 16.3    23,657 83.7  Mahoning     227,859    35,610 15.6   192,249 84.4
 Franklin   1,224,220   140,814 11.5 1,083,406 88.5   Marion       59,587    11,891 20.0    47,696 80.0
Prevalence of People with and without Disabilities for Ohio, by County: 2016
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
  Medina      174,446    18,286 10.5   156,160 89.5  Trumbull     201,249    29,356 14.6   171,893 85.4
  Meigs        23,138     5,040 21.8    18,098 78.2 Tuscarawas     91,621    12,954 14.1    78,667 85.9
  Mercer       40,499     4,462 11.0    36,037 89.0   Union        50,780     5,805 11.4    44,975 88.6
  Miami       102,984    13,592 13.2    89,392 86.8  Van Wert      28,221     4,219 14.9    24,002 85.1
  Monroe       14,288     2,829 19.8    11,459 80.2   Vinton       13,053     2,754 21.1    10,299 78.9
Montgomery    524,589    80,159 15.3   444,430 84.7   Warren      215,732    20,359  9.4   195,373 90.6
  Morgan       14,677     3,071 20.9    11,606 79.1 Washington     60,468    12,007 19.9    48,461 80.1
  Morrow       34,768     4,994 14.4    29,774 85.6   Wayne       114,650    12,638 11.0   102,012 89.0
Muskingum      85,127    13,724 16.1    71,403 83.9  Williams      36,106     5,204 14.4    30,902 85.6
  Noble        11,845     1,893 16.0     9,952 84.0    Wood       128,147    13,967 10.9   114,180 89.1
  Ottawa       40,574     6,270 15.5    34,304 84.5  Wyandot       22,096     2,911 13.2    19,185 86.8
 Paulding      18,955     3,135 16.5    15,820 83.5                                                    
  Perry        35,690     5,998 16.8    29,692 83.2                                                    
 Pickaway      52,461     7,776 14.8    44,685 85.2                                                    
   Pike        27,938     6,450 23.1    21,488 76.9                                                    
 Portage      160,730    20,615 12.8   140,115 87.2                                                    
  Preble       41,226     6,494 15.8    34,732 84.2                                                    
  Putnam       33,851     3,426 10.1    30,425 89.9                                                    
 Richland     115,234    17,791 15.4    97,443 84.6                                                    
   Ross        71,506    13,782 19.3    57,724 80.7                                                    
 Sandusky      59,009     8,480 14.4    50,529 85.6                                                    
  Scioto       74,512    16,115 21.6    58,397 78.4                                                    
  Seneca       54,740     7,648 14.0    47,092 86.0                                                    
  Shelby       48,603     6,097 12.5    42,506 87.5                                                    
  Stark       370,006    49,242 13.3   320,764 86.7                                                    
  Summit      536,315    67,459 12.6   468,856 87.4                                                    
Count of People with Disabilities for Ohio, by County: 2016

Percentage of People with Disabilities for Ohio, by County: 2016

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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E-mail: Disability.Statistics@unh.edu
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