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 Wisconsin 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 Wisconsin. 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 Wisconsin, 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 Wisconsin 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 Wisconsin that are presented:

  • For the number of people with and without disabilities:
    • The range of total people across Wisconsin counties, also known as the difference between the largest and smallest counts of people across Wisconsin counties, was 937,811.
      • The county with the greatest number of total people was Milwaukee (942,070 people).
      • The county with the least number of total people was Florence (4,259 people).
    • The average number of total people across all counties was 79,430.
    • The median, also known as the middle-most number, of total people across Wisconsin counties was 40,118.
  • For the number of people with disabilities:
    • The range of people with disabilities across Wisconsin counties, also known as the difference between the largest and smallest counts of people with disabilities across Wisconsin counties, was 117,462.
      • The county with the greatest number of people with disabilities was Milwaukee (118,224 people).
      • The county with the least number of people with disabilities was Menominee (762 people).
    • The average number of people with disabilities across all counties was 9,328.
    • The median, also known as the middle-most number, of people with disabilities across Wisconsin counties was 5,001.
  • For the percentage of people with disabilities:
    • For the entire state of Wisconsin, the overall percentage of people with disabilities is 11.7%.
      • The county with the highest percentage of people with disabilities was Adams (21.3%).
      • The county with the lowest percentage of people with disabilities was Dane (8.3%).

 

  • For the number of people without disabilities:
    • The range of people without disabilities across Wisconsin counties, also known as the difference between the largest and smallest counts of people without disabilities across Wisconsin counties, was 820,375.
      • The county with the greatest number of people without disabilities was Milwaukee (823,846 people).
      • The county with the least number of people without disabilities was Florence (3,471 people).
    • The average number of people without disabilities across all counties was 70,102.
    • The median, also known as the middle-most number, of people without disabilities across Wisconsin counties was 33,940.
  • For the percentage of people without disabilities:
    • For the entire state of Wisconsin, the overall percentage of people without disabilities is 88.3%.
      • The county with the highest percentage of people without disabilities was Dane (91.7%).
      • The county with the lowest percentage of people without disabilities was Adams (78.7%).
Prevalence of People with and without Disabilities for Wisconsin, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
 Wisconsin  5,718,951 671,635 11.7 5,047,316 88.3    Iron         5,583   1,089 19.5     4,494 80.5
   Adams       19,000   4,049 21.3    14,951 78.7   Jackson      19,404   2,675 13.8    16,729 86.2
  Ashland      15,407   2,558 16.6    12,849 83.4  Jefferson     84,225   9,679 11.5    74,546 88.5
  Barron       44,662   6,448 14.4    38,214 85.6   Juneau       24,967   4,263 17.1    20,704 82.9
 Bayfield      14,885   2,521 16.9    12,364 83.1   Kenosha     166,531  20,745 12.5   145,786 87.5
   Brown      258,334  27,648 10.7   230,686 89.3  Kewaunee      20,263   2,522 12.4    17,741 87.6
  Buffalo      13,055   1,668 12.8    11,387 87.2  La Crosse    116,551  13,446 11.5   103,105 88.5
  Burnett      15,183   2,648 17.4    12,535 82.6  Lafayette     16,631   1,881 11.3    14,750 88.7
  Calumet      49,764   4,257  8.6    45,507 91.4  Langlade      18,948   3,162 16.7    15,786 83.3
 Chippewa      61,393   7,441 12.1    53,952 87.9   Lincoln      27,164   3,893 14.3    23,271 85.7
   Clark       34,104   4,122 12.1    29,982 87.9  Manitowoc     78,768   9,622 12.2    69,146 87.8
 Columbia      55,743   6,443 11.6    49,300 88.4  Marathon     134,385  15,307 11.4   119,078 88.6
 Crawford      15,510   2,270 14.6    13,240 85.4  Marinette     39,895   6,922 17.4    32,973 82.6
   Dane       532,000  44,224  8.3   487,776 91.7  Marquette     15,174   2,473 16.3    12,701 83.7
   Dodge       83,913   9,721 11.6    74,192 88.4  Menominee      4,527     762 16.8     3,765 83.2
   Door        27,134   3,683 13.6    23,451 86.4  Milwaukee    942,070 118,224 12.5   823,846 87.5
  Douglas      42,715   6,317 14.8    36,398 85.2   Monroe       44,922   6,266 13.9    38,656 86.1
   Dunn        44,412   5,745 12.9    38,667 87.1   Oconto       37,389   5,102 13.6    32,287 86.4
Eau Claire    102,800  13,410 13.0    89,390 87.0   Oneida       34,834   4,900 14.1    29,934 85.9
 Florence       4,259     788 18.5     3,471 81.5  Outagamie    184,353  18,878 10.2   165,475 89.8
Fond du Lac   100,864  11,663 11.6    89,201 88.4   Ozaukee      88,112   7,574  8.6    80,538 91.4
  Forest        8,767   1,480 16.9     7,287 83.1    Pepin        7,191     870 12.1     6,321 87.9
   Grant       50,596   5,594 11.1    45,002 88.9   Pierce       41,687   4,622 11.1    37,065 88.9
   Green       36,548   4,384 12.0    32,164 88.0    Polk        42,986   6,029 14.0    36,957 86.0
Green Lake     18,576   2,503 13.5    16,073 86.5   Portage      70,343   8,023 11.4    62,320 88.6
   Iowa        23,460   2,708 11.5    20,752 88.5    Price       13,237   2,131 16.1    11,106 83.9
Prevalence of People with and without Disabilities for Wisconsin, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
  Racine      190,867  24,572 12.9   166,295 87.1                                                  
 Richland      17,324   2,228 12.9    15,096 87.1                                                  
   Rock       160,864  21,976 13.7   138,888 86.3                                                  
   Rusk        13,996   2,376 17.0    11,620 83.0                                                  
   Sauk        63,223   7,525 11.9    55,698 88.1                                                  
  Sawyer       16,123   2,422 15.0    13,701 85.0                                                  
  Shawano      40,340   5,434 13.5    34,906 86.5                                                  
 Sheboygan    112,935  11,794 10.4   101,141 89.6                                                  
 St. Croix     88,008   7,647  8.7    80,361 91.3                                                  
  Taylor       20,125   2,532 12.6    17,593 87.4                                                  
Trempealeau    29,128   2,942 10.1    26,186 89.9                                                  
  Vernon       30,333   3,200 10.5    27,133 89.5                                                  
   Vilas       21,549   3,580 16.6    17,969 83.4                                                  
 Walworth     102,419  12,631 12.3    89,788 87.7                                                  
 Washburn      15,516   2,456 15.8    13,060 84.2                                                  
Washington    134,160  13,310  9.9   120,850 90.1                                                  
 Waukesha     397,893  38,308  9.6   359,585 90.4                                                  
  Waupaca      49,858   7,273 14.6    42,585 85.4                                                  
 Waushara      22,954   3,460 15.1    19,494 84.9                                                  
 Winnebago    165,571  19,669 11.9   145,902 88.1                                                  
   Wood        72,541  10,947 15.1    61,594 84.9                                                  
                                                                                                   
                                                                                                   
                                                                                                   
                                                                                                   
                                                                                                   
Count of People with Disabilities for Wisconsin, by County: 2019

Percentage of People with Disabilities for Wisconsin, 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
https://www.researchondisability.org