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 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. Paul, S., Rafal, M., & Houtenville, A. (2020). 2019 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 2019 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 1,270,340.
      • The county with the greatest number of total people was Franklin (1,282,411 people).
      • The county with the least number of total people was Noble (12,071 people).
    • The average number of total people across all counties was 130,483.
    • The median, also known as the middle-most number, of total people across Ohio counties was 56,102.
  • 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 181,678.
      • The county with the greatest number of people with disabilities was Cuyahoga (184,107 people).
      • The county with the least number of people with disabilities was Noble (2,429 people).
    • The average number of people with disabilities across all counties was 18,246.
    • The median, also known as the middle-most number, of people with disabilities across Ohio counties was 8,136.
  • For the percentage of people with disabilities:
    • For the entire state of Ohio, the overall percentage of people with disabilities is 14.0%.
      • The county with the highest percentage of people with disabilities was Pike (23.8%).
      • The county with the lowest percentage of people with disabilities was Holmes (7.9%).

 

  • 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 1,127,738.
      • The county with the greatest number of people without disabilities was Franklin (1,137,380 people).
      • The county with the least number of people without disabilities was Noble (9,642 people).
    • The average number of people without disabilities across all counties was 112,237.
    • The median, also known as the middle-most number, of people without disabilities across Ohio counties was 47,067.
  • For the percentage of people without disabilities:
    • For the entire state of Ohio, the overall percentage of people without disabilities is 86.0%.
      • The county with the highest percentage of people without disabilities was Holmes (92.1%).
      • The county with the lowest percentage of people without disabilities was Pike (76.2%).
Prevalence of People with and without Disabilities for Ohio, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
   Ohio    11,482,519 1,605,634 14.0 9,876,885 86.0   Fulton       41,843     5,355 12.8    36,488 87.2
  Adams        27,497     5,717 20.8    21,780 79.2   Gallia       29,701     5,866 19.8    23,835 80.2
  Allen       100,774    16,230 16.1    84,544 83.9   Geauga       93,087    10,170 10.9    82,917 89.1
 Ashland       52,915     7,573 14.3    45,342 85.7   Greene      162,702    21,322 13.1   141,380 86.9
Ashtabula      94,978    15,738 16.6    79,240 83.4  Guernsey      38,683     7,020 18.1    31,663 81.9
  Athens       65,217    10,519 16.1    54,698 83.9  Hamilton     805,577    97,227 12.1   708,350 87.9
 Auglaize      45,184     4,884 10.8    40,300 89.2  Hancock       74,933     8,721 11.6    66,212 88.4
 Belmont       64,197    10,486 16.3    53,711 83.7   Hardin       31,239     4,543 14.5    26,696 85.5
  Brown        43,017     7,328 17.0    35,689 83.0  Harrison      14,944     2,799 18.7    12,145 81.3
  Butler      376,452    46,369 12.3   330,083 87.7   Henry        26,771     3,548 13.3    23,223 86.7
 Carroll       27,050     4,051 15.0    22,999 85.0  Highland      42,552     7,826 18.4    34,726 81.6
Champaign      38,367     6,085 15.9    32,282 84.1  Hocking       27,858     5,197 18.7    22,661 81.3
  Clark       133,040    22,696 17.1   110,344 82.9   Holmes       43,079     3,392  7.9    39,687 92.1
 Clermont     202,956    27,725 13.7   175,231 86.3   Huron        57,776     7,991 13.8    49,785 86.2
 Clinton       41,626     7,077 17.0    34,549 83.0  Jackson       32,115     6,197 19.3    25,918 80.7
Columbiana     99,556    15,891 16.0    83,665 84.0 Jefferson      65,614    11,544 17.6    54,070 82.4
Coshocton      36,166     5,522 15.3    30,644 84.7    Knox        60,831     8,281 13.6    52,550 86.4
 Crawford      41,253     7,077 17.2    34,176 82.8    Lake       227,907    30,597 13.4   197,310 86.6
 Cuyahoga   1,232,447   184,107 14.9 1,048,340 85.1  Lawrence      59,601    13,521 22.7    46,080 77.3
  Darke        50,918     6,969 13.7    43,949 86.3  Licking      172,408    27,276 15.8   145,132 84.2
 Defiance      37,869     4,704 12.4    33,165 87.6   Logan        44,910     6,055 13.5    38,855 86.5
 Delaware     200,222    16,533  8.3   183,689 91.7   Lorain      301,415    43,705 14.5   257,710 85.5
   Erie        73,870    11,145 15.1    62,725 84.9   Lucas       426,306    66,186 15.5   360,120 84.5
Fairfield     151,573    20,013 13.2   131,560 86.8  Madison       38,883     5,916 15.2    32,967 84.8
 Fayette       28,292     5,220 18.5    23,072 81.5  Mahoning     225,662    34,683 15.4   190,979 84.6
 Franklin   1,282,411   145,031 11.3 1,137,380 88.7   Marion       59,823    11,700 19.6    48,123 80.4
Prevalence of People with and without Disabilities for Ohio, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
  Medina      176,768    19,452 11.0   157,316 89.0  Trumbull     196,897    29,688 15.1   167,209 84.9
  Meigs        22,872     5,415 23.7    17,457 76.3 Tuscarawas     91,366    13,158 14.4    78,208 85.6
  Mercer       40,467     4,182 10.3    36,285 89.7   Union        53,550     5,439 10.2    48,111 89.8
  Miami       104,310    14,434 13.8    89,876 86.2  Van Wert      27,993     4,276 15.3    23,717 84.7
  Monroe       13,805     2,883 20.9    10,922 79.1   Vinton       13,002     2,845 21.9    10,157 78.1
Montgomery    523,385    81,099 15.5   442,286 84.5   Warren      221,527    22,379 10.1   199,148 89.9
  Morgan       14,451     3,192 22.1    11,259 77.9 Washington     59,750    12,157 20.3    47,593 79.7
  Morrow       34,810     5,271 15.1    29,539 84.9   Wayne       114,966    14,574 12.7   100,392 87.3
Muskingum      85,284    13,287 15.6    71,997 84.4  Williams      35,749     5,490 15.4    30,259 84.6
  Noble        12,071     2,429 20.1     9,642 79.9    Wood       128,845    15,012 11.7   113,833 88.3
  Ottawa       40,182     6,235 15.5    33,947 84.5  Wyandot       21,743     2,943 13.5    18,800 86.5
 Paulding      18,711     3,229 17.3    15,482 82.7                                                    
  Perry        35,777     6,308 17.6    29,469 82.4                                                    
 Pickaway      53,404     8,310 15.6    45,094 84.4                                                    
   Pike        27,712     6,600 23.8    21,112 76.2                                                    
 Portage      161,441    21,926 13.6   139,515 86.4                                                    
  Preble       40,773     6,500 15.9    34,273 84.1                                                    
  Putnam       33,646     3,258  9.7    30,388 90.3                                                    
 Richland     114,386    18,565 16.2    95,821 83.8                                                    
   Ross        71,236    14,763 20.7    56,473 79.3                                                    
 Sandusky      58,105     8,803 15.2    49,302 84.8                                                    
  Scioto       73,255    16,687 22.8    56,568 77.2                                                    
  Seneca       54,427     7,886 14.5    46,541 85.5                                                    
  Shelby       48,410     6,393 13.2    42,017 86.8                                                    
  Stark       367,654    49,105 13.4   318,549 86.6                                                    
  Summit      535,722    70,133 13.1   465,589 86.9                                                    
Count of People with Disabilities for Ohio, by County: 2019

Percentage of People with Disabilities for Ohio, 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.

Contact Information
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E-mail: Disability.Statistics@unh.edu
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