County Report for Disability Prevalence

Acknowledgement

Special thanks to the following individuals who have contributed to the success of this effort: Deb Brucker, Erin Dame, Adam Lavoie, Rachel Coleman, Kate Filanoski, 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 90RT5022-02-01; and the Rehabilitation Research and Training Center on Employment Policy and Measurement (EPM-RRTC), also funded by NIDILRR, grant number 90RT5037-01-00. 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
10 West Edge Drive, Suite 101
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www.iod.unh.edu

2015 Ohio 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 (U.S.). This report is intended to be an online compliment 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 comes 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 2015, 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. These questions are:

  • Are you blind or do you have serious difficulty seeing, even when wearing glasses?

  • Are you deaf or do you have serious difficulty hearing?

  • Do you have serious difficulty walking or climbing stairs?

 
  • Because of a physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?

  • Do you have difficulty dressing or bathing?

  • Because of a physical, mental, or emotional condition, do you have difficulty doing errands alone such as visiting a doctor's office or shopping?

A response of ‘yes’ to any one of these six questions identifies an individual as having a disability in the ACS. 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.

Interpretation

The following statements are designed to help understand the 2015 county-level statistics from Ohio that are presented:

  • For 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 1,235,690.

      • The county with the greatest number of total people was Cuyahoga (1,247,668 people).

      • The county with the least number of total people was Noble (11,978 people).

    • The average number of total people across all counties was 129,578.

    • The median, also known as the middle-most number, of total people across Ohio counties was 56,678.

 
  • For 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 179,402.

      • The county with the greatest number of people with disabilities was Cuyahoga (181,418 people).

      • The county with the least number of people with disabilities was Noble (2,016 people).

    • The average number of people with disabilities across all counties was 17,625.

    • The median, also known as the middle-most number, of people with disabilities across Ohio counties was 7,901.

  • For 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 1,058,377.

      • The county with the greatest number of people without disabilities was Franklin (1,068,339 people).

      • The county with the leastnumber of people without disabilities was Noble (9,962 people).

    • The average number of people without disabilities across all counties was 111,954.

    • The median, also known as the middle-most number, of people without disabilities across Ohio counties was 47,711.

 

Prevalence of People with and without Disabilities for Ohio, by County: 2015

County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Ohio       11,402,897 1,550,962 13.6 9,851,935 86.4 Fulton         42,103     5,416 12.9    36,687 87.1
Adams          27,966     5,692 20.4    22,274 79.6 Gallia         30,146     5,998 19.9    24,148 80.1
Allen         102,608    14,949 14.6    87,659 85.4 Geauga         93,257     9,157  9.8    84,100 90.2
Ashland        52,672     7,289 13.8    45,383 86.2 Greene        160,236    19,583 12.2   140,653 87.8
Ashtabula      96,631    15,104 15.6    81,527 84.4 Guernsey       39,143     7,193 18.4    31,950 81.6
Athens         64,283     9,822 15.3    54,461 84.7 Hamilton      796,192    99,789 12.5   696,403 87.5
Auglaize       45,362     5,464 12.0    39,898 88.0 Hancock        74,608     8,561 11.5    66,047 88.5
Belmont        65,769    10,939 16.6    54,830 83.4 Hardin         31,532     4,408 14.0    27,124 86.0
Brown          43,699     7,135 16.3    36,564 83.7 Harrison       15,381     2,492 16.2    12,889 83.8
Butler        369,325    42,817 11.6   326,508 88.4 Henry          27,653     3,845 13.9    23,808 86.1
Carroll        28,078     3,797 13.5    24,281 86.5 Highland       42,754     7,936 18.6    34,818 81.4
Champaign      38,910     5,880 15.1    33,030 84.9 Hocking        28,231     4,807 17.0    23,424 83.0
Clark         135,060    22,154 16.4   112,906 83.6 Holmes         42,660     3,585  8.4    39,075 91.6
Clermont      199,032    25,140 12.6   173,892 87.4 Huron          58,421     7,866 13.5    50,555 86.5
Clinton        41,579     5,834 14.0    35,745 86.0 Jackson        32,525     6,612 20.3    25,913 79.7
Columbiana    102,521    16,581 16.2    85,940 83.8 Jefferson      67,317    11,898 17.7    55,419 82.3
Coshocton      36,342     5,213 14.3    31,129 85.7 Knox           60,426     8,421 13.9    52,005 86.1
Crawford       42,194     6,755 16.0    35,439 84.0 Lake          227,379    26,355 11.6   201,024 88.4
Cuyahoga    1,247,668   181,418 14.5 1,066,250 85.5 Lawrence       61,243    13,103 21.4    48,140 78.6
Darke          51,745     7,265 14.0    44,480 86.0 Licking       167,366    22,945 13.7   144,421 86.3
Defiance       38,359     4,944 12.9    33,415 87.1 Logan          45,170     6,557 14.5    38,613 85.5
Delaware      184,495    13,670  7.4   170,825 92.6 Lorain        296,570    43,876 14.8   252,694 85.2
Erie           75,209    10,775 14.3    64,434 85.7 Lucas         430,966    65,580 15.2   365,386 84.8
Fairfield     146,490    19,576 13.4   126,914 86.6 Madison        38,523     5,304 13.8    33,219 86.2
Fayette        28,270     4,628 16.4    23,642 83.6 Mahoning      229,043    35,772 15.6   193,271 84.4
Franklin    1,207,823   139,484 11.5 1,068,339 88.5 Marion         59,800    11,381 19.0    48,419 81.0
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Medina        173,724    17,283  9.9   156,441 90.1 Trumbull      202,696    29,647 14.6   173,049 85.4
Meigs          23,265     4,811 20.7    18,454 79.3 Tuscarawas     91,694    12,549 13.7    79,145 86.3
Mercer         40,492     4,427 10.9    36,065 89.1 Union          50,228     5,759 11.5    44,469 88.5
Miami         102,709    13,459 13.1    89,250 86.9 Van Wert       28,295     4,137 14.6    24,158 85.4
Monroe         14,401     2,698 18.7    11,703 81.3 Vinton         13,161     2,558 19.4    10,603 80.6
Montgomery    525,410    80,706 15.4   444,704 84.6 Warren        213,931    19,587  9.2   194,344 90.8
Morgan         14,725     2,820 19.2    11,905 80.8 Washington     60,682    11,906 19.6    48,776 80.4
Morrow         34,697     4,721 13.6    29,976 86.4 Wayne         114,292    12,516 11.0   101,776 89.0
Muskingum      85,156    13,702 16.1    71,454 83.9 Williams       36,246     5,062 14.0    31,184 86.0
Noble          11,978     2,016 16.8     9,962 83.2 Wood          127,646    13,502 10.6   114,144 89.4
Ottawa         40,733     6,383 15.7    34,350 84.3 Wyandot        22,203     2,884 13.0    19,319 87.0
Paulding       19,063     3,193 16.7    15,870 83.3                                                    
Perry          35,749     5,825 16.3    29,924 83.7                                                    
Pickaway       52,367     7,639 14.6    44,728 85.4                                                    
Pike           28,014     6,284 22.4    21,730 77.6                                                    
Portage       160,856    19,442 12.1   141,414 87.9                                                    
Preble         41,353     6,695 16.2    34,658 83.8                                                    
Putnam         33,921     3,540 10.4    30,381 89.6                                                    
Richland      115,826    16,968 14.6    98,858 85.4                                                    
Ross           71,564    12,838 17.9    58,726 82.1                                                    
Sandusky       59,335     8,078 13.6    51,257 86.4                                                    
Scioto         75,158    16,354 21.8    58,804 78.2                                                    
Seneca         54,935     7,654 13.9    47,281 86.1                                                    
Shelby         48,707     5,851 12.0    42,856 88.0                                                    
Stark         370,175    50,065 13.5   320,110 86.5                                                    
Summit        536,775    66,638 12.4   470,137 87.6                                                    

Count of People with Disabilities for Ohio, by County: 2015

Percentage of People with Disabilities for Ohio, by County: 2015

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 (www.census.gov/programs-surveys/acs/).

  • Statistics are based on a sample and subject to sample variation (a discussion of this topic can be found here).

  • Statistics based on a sample may not fully represent the total U.S. population (a discussion of this topic can be found here).

  • People responding to the ACS may be different than people not responding (a discussion of this topic can be found here).

  • When people do not respond to all ACS questions their responses are created based on assignment or allocation (a discussion of this topic can be found here).

Additional resources for the ACS:

  • Information on the disability questions can be found here.

  • The ACS design and methodology can be found here.

  • The ACS questionnaire and instructions can be found here.

Definitions

Average—The sum of all of the values in a sample divided by the number of values in the sample.
Median—The middlemost value of a sample that separates the upper half of the values from the lower half of the values.
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.
Population—The total number of inhabitants in a defined geographic area including all races, classes, and groups.
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.

Rehabilitation Research and Training Center on Disability Statistics and Demographics

Policymakers, program administrators, service providers, researchers, advocates for people with disabilities, and people with disabilities and their families need accessible, valid data/statistics to support their decisions related to policy improvements, program administration, service delivery, protection of civil rights, and major life activities. The StatsRRTC supports decision making through a variety of integrated research and outreach activities by (a) improving knowledge about and access to existing data, (b) generating the knowledge needed to improve future disability data collection, and (c) strengthening connections between the data from and regarding respondents, researchers, and decision makers. In this way, the Stats RRTC supports the improvement of service systems that advance the quality of life for people with disabilities.

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 90RT502201, from 2013–2018.

Employment Policy and Measurement Rehabilitation Research and Training Center

The EPM-RRTC generates and translates new information about disability employment policy and ways to measure the labor market experiences of people with disabilities. By improving the quality of available information about program interactions, policy options, and employment outcomes, the EPM-RRTC increases evidence-based advocacy and policymaking.

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.