2018 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, Kate Filanoski, Adam Lavoie, Kim Phillips, 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 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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2018 Illinois 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 Illinois. 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 Illinois, 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., 2020. 2018 State Report for Illinois County-Level Data: Prevalence. Durham, NH: University of New Hampshire, Institute on Disability.

Interpretation

The following statements are designed to help understand the 2018 county-level statistics from Illinois that are presented:

  • For the number of people with and without disabilities:
    • The range of total people across Illinois counties, also known as the difference between the largest and smallest counts of people across Illinois counties, was 5,173,322.
      • The county with the greatest number of total people was Cook (5,177,243 people).
      • The county with the least number of total people was Hardin (3,921 people).
    • The average number of total people across all counties was 123,953.
    • The median, also known as the middle-most number, of total people across Illinois counties was 24,778.
  • For the number of people with disabilities:
    • The range of people with disabilities across Illinois counties, also known as the difference between the largest and smallest counts of people with disabilities across Illinois counties, was 525,748.
      • The county with the greatest number of people with disabilities was Cook (526,347 people).
      • The county with the least number of people with disabilities was Scott (599 people).
    • The average number of people with disabilities across all counties was 13,551.
    • The median, also known as the middle-most number, of people with disabilities across Illinois counties was 3,602.
  • For the percentage of people with disabilities:
    • For the entire state of Illinois, the overall percentage of people with disabilities is 10.9%.
      • The county with the highest percentage of people with disabilities was Hardin (25.7%).
      • The county with the lowest percentage of people with disabilities was Kendall (7.7%).

 

  • For the number of people without disabilities:
    • The range of people without disabilities across Illinois counties, also known as the difference between the largest and smallest counts of people without disabilities across Illinois counties, was 4,647,984.
      • The county with the greatest number of people without disabilities was Cook (4,650,896 people).
      • The county with the least number of people without disabilities was Hardin (2,912 people).
    • The average number of people without disabilities across all counties was 110,402.
    • The median, also known as the middle-most number, of people without disabilities across Illinois counties was 20,410.
  • For the percentage of people without disabilities:
    • For the entire state of Illinois, the overall percentage of people without disabilities is 89.1%.
      • The county with the highest percentage of people without disabilities was Kendall (92.3%).
      • The county with the lowest percentage of people without disabilities was Hardin (74.3%).
Prevalence of People with and without Disabilities for Illinois, by County: 2018
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
 Illinois   12,643,207 1,382,215 10.9 11,260,992 89.1   Fayette       20,025     3,585 17.9     16,440 82.1
   Adams        65,175     8,990 13.8     56,185 86.2    Ford         13,000     2,085 16.0     10,915 84.0
 Alexander       6,469     1,391 21.5      5,078 78.5  Franklin       38,660     8,008 20.7     30,652 79.3
   Bond         15,475     2,410 15.6     13,065 84.4   Fulton        32,889     4,892 14.9     27,997 85.1
   Boone        53,224     6,055 11.4     47,169 88.6  Gallatin        5,157     1,210 23.5      3,947 76.5
   Brown         4,804       682 14.2      4,122 85.8   Greene        12,932     2,138 16.5     10,794 83.5
  Bureau        33,010     4,445 13.5     28,565 86.5   Grundy        50,217     4,706  9.4     45,511 90.6
  Calhoun        4,777       918 19.2      3,859 80.8  Hamilton        8,148     1,586 19.5      6,562 80.5
  Carroll       14,376     2,019 14.0     12,357 86.0   Hancock       17,931     2,457 13.7     15,474 86.3
   Cass         12,520     1,647 13.2     10,873 86.8   Hardin         3,921     1,009 25.7      2,912 74.3
 Champaign     207,596    18,505  8.9    189,091 91.1  Henderson       6,823     1,175 17.2      5,648 82.8
 Christian      31,546     3,894 12.3     27,652 87.7    Henry        48,734     6,225 12.8     42,509 87.2
   Clark        15,619     2,573 16.5     13,046 83.5  Iroquois       27,740     4,313 15.5     23,427 84.5
   Clay         13,170     2,618 19.9     10,552 80.1   Jackson       57,971     8,120 14.0     49,851 86.0
  Clinton       35,546     5,089 14.3     30,457 85.7   Jasper         9,535     1,938 20.3      7,597 79.7
   Coles        51,044     7,836 15.4     43,208 84.6  Jefferson      35,686     6,884 19.3     28,802 80.7
   Cook      5,177,243   526,347 10.2  4,650,896 89.8   Jersey        21,704     2,907 13.4     18,797 86.6
 Crawford       17,011     2,712 15.9     14,299 84.1 Jo Daviess      21,672     3,142 14.5     18,530 85.5
Cumberland      10,738     1,797 16.7      8,941 83.3   Johnson       10,342     1,659 16.0      8,683 84.0
  De Witt       15,766     1,907 12.1     13,859 87.9    Kane        527,595    43,733  8.3    483,862 91.7
  DeKalb       103,533    10,465 10.1     93,068 89.9  Kankakee      108,902    15,078 13.8     93,824 86.2
  Douglas       19,555     2,250 11.5     17,305 88.5   Kendall      124,288     9,517  7.7    114,771 92.3
  DuPage       925,916    75,514  8.2    850,402 91.8    Knox         48,258     7,717 16.0     40,541 84.0
   Edgar        17,253     2,784 16.1     14,469 83.9   LaSalle      107,246    14,350 13.4     92,896 86.6
  Edwards        6,478     1,095 16.9      5,383 83.1    Lake        687,874    61,017  8.9    626,857 91.1
 Effingham      33,773     4,312 12.8     29,461 87.2  Lawrence       13,825     2,780 20.1     11,045 79.9
Prevalence of People with and without Disabilities for Illinois, by County: 2018
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
    Lee         31,497     4,705 14.9     26,792 85.1   Putnam         5,738       682 11.9      5,056 88.1
Livingston      34,107     5,312 15.6     28,795 84.4  Randolph       28,672     4,508 15.7     24,164 84.3
   Logan        25,891     4,014 15.5     21,877 84.5  Richland       15,683     2,617 16.7     13,066 83.3
   Macon       104,085    15,950 15.3     88,135 84.7 Rock Island    142,656    19,188 13.5    123,468 86.5
 Macoupin       45,206     6,820 15.1     38,386 84.9   Saline        23,768     5,345 22.5     18,423 77.5
  Madison      263,088    36,664 13.9    226,424 86.1  Sangamon      195,600    27,102 13.9    168,498 86.1
  Marion        37,387     6,804 18.2     30,583 81.8  Schuyler        6,986     1,408 20.2      5,578 79.8
 Marshall       11,526     1,521 13.2     10,005 86.8    Scott         4,995       599 12.0      4,396 88.0
   Mason        13,572     2,368 17.4     11,204 82.6   Shelby        21,647     2,705 12.5     18,942 87.5
  Massac        14,192     2,991 21.1     11,201 78.9  St. Clair     257,597    33,496 13.0    224,101 87.0
 McDonough      30,498     4,094 13.4     26,404 86.6    Stark         5,398       699 12.9      4,699 87.1
  McHenry      306,531    28,854  9.4    277,677 90.6 Stephenson      44,692     6,572 14.7     38,120 85.3
  McLean       172,074    16,245  9.4    155,829 90.6  Tazewell      131,396    15,644 11.9    115,752 88.1
  Menard        12,209     1,720 14.1     10,489 85.9    Union        16,974     3,017 17.8     13,957 82.2
  Mercer        15,465     1,939 12.5     13,526 87.5  Vermilion      75,825    11,658 15.4     64,167 84.6
  Monroe        33,670     3,132  9.3     30,538 90.7   Wabash        11,494     2,026 17.6      9,468 82.4
Montgomery      25,787     3,619 14.0     22,168 86.0   Warren        17,143     2,281 13.3     14,862 86.7
  Morgan        32,276     5,258 16.3     27,018 83.7 Washington      13,951     1,706 12.2     12,245 87.8
 Moultrie       14,408     1,707 11.8     12,701 88.2    Wayne        16,435     3,024 18.4     13,411 81.6
   Ogle         50,831     6,180 12.2     44,651 87.8    White        13,688     2,741 20.0     10,947 80.0
  Peoria       182,214    21,594 11.9    160,620 88.1  Whiteside      55,523     8,029 14.5     47,494 85.5
   Perry        18,758     3,550 18.9     15,208 81.1    Will        681,426    59,972  8.8    621,454 91.2
   Piatt        16,375     2,068 12.6     14,307 87.4 Williamson      65,328    11,421 17.5     53,907 82.5
   Pike         15,278     2,477 16.2     12,801 83.8  Winnebago     283,046    39,535 14.0    243,511 86.0
   Pope          4,084     1,035 25.3      3,049 74.7  Woodford       38,239     3,821 10.0     34,418 90.0
  Pulaski        5,606     1,312 23.4      4,294 76.6                                                      
Count of People with Disabilities for Illinois, by County: 2018

Percentage of People with Disabilities for Illinois, by County: 2018

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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