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 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. Paul, S., Rafal, M., & Houtenville, A. (2020). 2019 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 2019 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 5,147,721.
      • The county with the greatest number of total people was Cook (5,151,562 people).
      • The county with the least number of total people was Hardin (3,841 people).
    • The average number of total people across all counties was 123,446.
    • The median, also known as the middle-most number, of total people across Illinois counties was 24,638.
  • 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 525,156.
      • The county with the greatest number of people with disabilities was Cook (525,808 people).
      • The county with the least number of people with disabilities was Stark (652 people).
    • The average number of people with disabilities across all counties was 13,609.
    • The median, also known as the middle-most number, of people with disabilities across Illinois counties was 3,658.
  • For the percentage of people with disabilities:
    • For the entire state of Illinois, the overall percentage of people with disabilities is 11.0%.
      • The county with the highest percentage of people with disabilities was Pope (26.1%).
      • The county with the lowest percentage of people with disabilities was Kendall (7.6%).

 

  • 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 4,622,871.
      • The county with the greatest number of people without disabilities was Cook (4,625,754 people).
      • The county with the least number of people without disabilities was Hardin (2,883 people).
    • The average number of people without disabilities across all counties was 109,837.
    • The median, also known as the middle-most number, of people without disabilities across Illinois counties was 20,312.
  • For the percentage of people without disabilities:
    • For the entire state of Illinois, the overall percentage of people without disabilities is 89.0%.
      • The county with the highest percentage of people without disabilities was Kendall (92.4%).
      • The county with the lowest percentage of people without disabilities was Pope (73.9%).
Prevalence of People with and without Disabilities for Illinois, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
 Illinois   12,591,483 1,388,097 11.0 11,203,386 89.0   Fayette       19,948     3,527 17.7     16,421 82.3
   Adams        64,844     9,494 14.6     55,350 85.4    Ford         12,872     1,957 15.2     10,915 84.8
 Alexander       6,181     1,374 22.2      4,807 77.8  Franklin       38,438     8,035 20.9     30,403 79.1
   Bond         15,347     2,418 15.8     12,929 84.2   Fulton        32,562     4,673 14.4     27,889 85.6
   Boone        53,129     6,128 11.5     47,001 88.5  Gallatin        5,064     1,164 23.0      3,900 77.0
   Brown         4,753       737 15.5      4,016 84.5   Greene        12,849     2,000 15.6     10,849 84.4
  Bureau        32,755     4,391 13.4     28,364 86.6   Grundy        50,343     4,557  9.1     45,786 90.9
  Calhoun        4,750     1,049 22.1      3,701 77.9  Hamilton        8,100     1,725 21.3      6,375 78.7
  Carroll       14,182     1,966 13.9     12,216 86.1   Hancock       17,784     2,609 14.7     15,175 85.3
   Cass         12,358     1,603 13.0     10,755 87.0   Hardin         3,841       958 24.9      2,883 75.1
 Champaign     208,115    18,653  9.0    189,462 91.0  Henderson       6,754     1,088 16.1      5,666 83.9
 Christian      31,256     4,109 13.1     27,147 86.9    Henry        48,549     6,193 12.8     42,356 87.2
   Clark        15,505     2,655 17.1     12,850 82.9  Iroquois       27,382     4,343 15.9     23,039 84.1
   Clay         13,119     2,576 19.6     10,543 80.4   Jackson       57,450     8,514 14.8     48,936 85.2
  Clinton       35,508     5,062 14.3     30,446 85.7   Jasper         9,532     1,951 20.5      7,581 79.5
   Coles        50,657     7,801 15.4     42,856 84.6  Jefferson      35,639     6,691 18.8     28,948 81.2
   Cook      5,151,562   525,808 10.2  4,625,754 89.8   Jersey        21,588     3,063 14.2     18,525 85.8
 Crawford       16,659     2,970 17.8     13,689 82.2 Jo Daviess      21,432     3,021 14.1     18,411 85.9
Cumberland      10,711     1,761 16.4      8,950 83.6   Johnson       10,217     1,675 16.4      8,542 83.6
  De Witt       15,649     2,026 12.9     13,623 87.1    Kane        528,072    45,597  8.6    482,475 91.4
  DeKalb       103,654    10,875 10.5     92,779 89.5  Kankakee      108,580    14,488 13.3     94,092 86.7
  Douglas       19,464     2,252 11.6     17,212 88.4   Kendall      125,714     9,574  7.6    116,140 92.4
  DuPage       923,090    74,191  8.0    848,899 92.0    Knox         47,703     7,592 15.9     40,111 84.1
   Edgar        17,119     2,897 16.9     14,222 83.1   LaSalle      106,541    14,508 13.6     92,033 86.4
  Edwards        6,428     1,038 16.1      5,390 83.9    Lake        685,292    62,508  9.1    622,784 90.9
 Effingham      33,733     4,545 13.5     29,188 86.5  Lawrence       13,675     2,902 21.2     10,773 78.8
Prevalence of People with and without Disabilities for Illinois, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
    Lee         31,305     4,850 15.5     26,455 84.5   Putnam         5,714       770 13.5      4,944 86.5
Livingston      33,887     5,237 15.5     28,650 84.5  Randolph       28,544     4,640 16.3     23,904 83.7
   Logan        25,735     3,917 15.2     21,818 84.8  Richland       15,571     2,709 17.4     12,862 82.6
   Macon       103,150    15,538 15.1     87,612 84.9 Rock Island    141,174    19,272 13.7    121,902 86.3
 Macoupin       44,981     6,609 14.7     38,372 85.3   Saline        23,540     5,240 22.3     18,300 77.7
  Madison      262,150    38,004 14.5    224,146 85.5  Sangamon      194,848    26,552 13.6    168,296 86.4
  Marion        37,041     6,964 18.8     30,077 81.2  Schuyler        6,882     1,359 19.7      5,523 80.3
 Marshall       11,415     1,523 13.3      9,892 86.7    Scott         4,953       665 13.4      4,288 86.6
   Mason        13,415     2,258 16.8     11,157 83.2   Shelby        21,554     2,749 12.8     18,805 87.2
  Massac        13,979     2,892 20.7     11,087 79.3  St. Clair     256,193    34,585 13.5    221,608 86.5
 McDonough      30,084     4,343 14.4     25,741 85.6    Stark         5,345       652 12.2      4,693 87.8
  McHenry      306,363    29,275  9.6    277,088 90.4 Stephenson      44,337     6,572 14.8     37,765 85.2
  McLean       171,425    16,081  9.4    155,344 90.6  Tazewell      130,814    15,894 12.2    114,920 87.8
  Menard        12,141     1,754 14.4     10,387 85.6    Union        16,809     3,015 17.9     13,794 82.1
  Mercer        15,373     1,984 12.9     13,389 87.1  Vermilion      74,983    11,100 14.8     63,883 85.2
  Monroe        33,894     3,245  9.6     30,649 90.4   Wabash        11,466     2,041 17.8      9,425 82.2
Montgomery      25,894     3,813 14.7     22,081 85.3   Warren        16,952     2,259 13.3     14,693 86.7
  Morgan        32,076     5,184 16.2     26,892 83.8 Washington      13,857     1,696 12.2     12,161 87.8
 Moultrie       14,359     1,832 12.8     12,527 87.2    Wayne        16,355     2,858 17.5     13,497 82.5
   Ogle         50,520     6,551 13.0     43,969 87.0    White        13,527     2,648 19.6     10,879 80.4
  Peoria       180,546    21,396 11.9    159,150 88.1  Whiteside      55,135     8,264 15.0     46,871 85.0
   Perry        18,617     3,574 19.2     15,043 80.8    Will        682,082    60,735  8.9    621,347 91.1
   Piatt        16,347     2,184 13.4     14,163 86.6 Williamson      65,070    11,773 18.1     53,297 81.9
   Pike         15,234     2,533 16.6     12,701 83.4  Winnebago     281,711    39,216 13.9    242,495 86.1
   Pope          4,049     1,055 26.1      2,994 73.9  Woodford       38,133     3,742  9.8     34,391 90.2
  Pulaski        5,505     1,203 21.9      4,302 78.1                                                      
Count of People with Disabilities for Illinois, by County: 2019

Percentage of People with Disabilities for Illinois, 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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