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
Durham, NH 03284
603.862.4320 | relay: 711 | contact.iod@unh.edu
www.iod.unh.edu

2015 Minnesota 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 Minnesota.

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 Minnesota, 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 Minnesota that are presented:

  • For people with and without disabilities: 

    • The range of total people across Minnesota counties, also known as the difference between the largest and smallest counts of people across Minnesota counties, was 1,185,030.

      • The county with the greatest number of total people was Hennepin (1,188,371 people).

      • The county with the least number of total people was Traverse (3,341 people).

    • The average number of total people across all counties was 61,619.

    • The median, also known as the middle-most number, of total people across Minnesota counties was 21,399.

 
  • For people with disabilities: 

    • The range of people with disabilities across Minnesota counties, also known as the difference between the largest and smallest counts of people with disabilities across Minnesota counties, was 112,990.

      • The county with the greatest number of people with disabilities was Hennepin (113,439 people).

      • The county with the least number of people with disabilities was Lake of the Woods (449 people).

    • The average number of people with disabilities across all counties was 6,459.

    • The median, also known as the middle-most number, of people with disabilities across Minnesota counties was 2,650.

  • For people without disabilities: 

    • The range of people without disabilities across Minnesota counties, also known as the difference between the largest and smallest counts of people without disabilities across Minnesota counties, was 1,072,160.

      • The county with the greatest number of people without disabilities was Hennepin (1,074,932 people).

      • The county with the leastnumber of people without disabilities was Traverse (2,772 people).

    • The average number of people without disabilities across all counties was 55,160.

    • The median, also known as the middle-most number, of people without disabilities across Minnesota counties was 19,208.

 

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

County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Minnesota         5,360,861 561,901 10.5 4,798,960 89.5 Grant                 5,901     807 13.7     5,094 86.3
Aitkin               15,646   2,823 18.0    12,823 82.0 Hennepin          1,188,371 113,439  9.5 1,074,932 90.5
Anoka               336,408  32,847  9.8   303,561 90.2 Houston              18,596   2,033 10.9    16,563 89.1
Becker               32,743   3,914 12.0    28,829 88.0 Hubbard              20,483   2,988 14.6    17,495 85.4
Beltrami             44,927   5,407 12.0    39,520 88.0 Isanti               37,978   4,725 12.4    33,253 87.6
Benton               38,711   5,056 13.1    33,655 86.9 Itasca               44,584   7,061 15.8    37,523 84.2
Big Stone             5,005     819 16.4     4,186 83.6 Jackson              10,090   1,001  9.9     9,089 90.1
Blue Earth           64,589   6,051  9.4    58,538 90.6 Kanabec              15,872   2,594 16.3    13,278 83.7
Brown                25,049   2,603 10.4    22,446 89.6 Kandiyohi            41,832   4,922 11.8    36,910 88.2
Carlton              34,565   3,973 11.5    30,592 88.5 Kittson               4,359     626 14.4     3,733 85.6
Carver               95,456   6,135  6.4    89,321 93.6 Koochiching          12,893   2,252 17.5    10,641 82.5
Cass                 28,299   4,493 15.9    23,806 84.1 Lac qui Parle         6,898   1,009 14.6     5,889 85.4
Chippewa             11,960   1,680 14.0    10,280 86.0 Lake                 10,581   1,355 12.8     9,226 87.2
Chisago              52,484   6,131 11.7    46,353 88.3 Lake of the Woods     3,895     449 11.5     3,446 88.5
Clay                 60,385   6,196 10.3    54,189 89.7 Le Sueur             27,530   2,738  9.9    24,792 90.1
Clearwater            8,655   1,421 16.4     7,234 83.6 Lincoln               5,643     795 14.1     4,848 85.9
Cook                  5,150     610 11.8     4,540 88.2 Lyon                 25,400   2,650 10.4    22,750 89.6
Cottonwood           11,436   1,572 13.7     9,864 86.3 Mahnomen              5,458     715 13.1     4,743 86.9
Crow Wing            62,344   8,903 14.3    53,441 85.7 Marshall              9,385   1,175 12.5     8,210 87.5
Dakota              406,645  34,365  8.5   372,280 91.5 Martin               20,122   2,872 14.3    17,250 85.7
Dodge                20,144   1,619  8.0    18,525 92.0 McLeod               35,730   3,997 11.2    31,733 88.8
Douglas              36,230   4,507 12.4    31,723 87.6 Meeker               22,831   2,472 10.8    20,359 89.2
Faribault            13,919   1,767 12.7    12,152 87.3 Mille Lacs           25,351   3,928 15.5    21,423 84.5
Fillmore             20,514   2,430 11.8    18,084 88.2 Morrison             32,631   3,908 12.0    28,723 88.0
Freeborn             30,425   4,187 13.8    26,238 86.2 Mower                38,848   4,942 12.7    33,906 87.3
Goodhue              45,582   4,934 10.8    40,648 89.2 Murray                8,416   1,121 13.3     7,295 86.7
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
Nicollet             32,906   3,449 10.5    29,457 89.5 Traverse              3,341     569 17.0     2,772 83.0
Nobles               21,399   2,191 10.2    19,208 89.8 Wabasha              21,194   2,266 10.7    18,928 89.3
Norman                6,566     735 11.2     5,831 88.8 Wadena               13,467   2,167 16.1    11,300 83.9
Olmsted             146,740  13,115  8.9   133,625 91.1 Waseca               17,928   1,993 11.1    15,935 88.9
Otter Tail           56,796   7,643 13.5    49,153 86.5 Washington          243,512  20,379  8.4   223,133 91.6
Pennington           13,907   1,898 13.6    12,009 86.4 Watonwan             10,919   1,158 10.6     9,761 89.4
Pine                 27,607   4,602 16.7    23,005 83.3 Wilkin                6,374     779 12.2     5,595 87.8
Pipestone             9,192   1,234 13.4     7,958 86.6 Winona               50,728   5,427 10.7    45,301 89.3
Polk                 30,982   3,878 12.5    27,104 87.5 Wright              127,899  10,150  7.9   117,749 92.1
Pope                 10,772   1,429 13.3     9,343 86.7 Yellow Medicine       9,910   1,209 12.2     8,701 87.8
Ramsey              523,192  59,506 11.4   463,686 88.6                                                        
Red Lake              4,038     497 12.3     3,541 87.7                                                        
Redwood              15,453   2,074 13.4    13,379 86.6                                                        
Renville             14,880   1,711 11.5    13,169 88.5                                                        
Rice                 62,009   5,533  8.9    56,476 91.1                                                        
Rock                  9,342   1,069 11.4     8,273 88.6                                                        
Roseau               15,423   1,705 11.1    13,718 88.9                                                        
Scott               135,943   9,590  7.1   126,353 92.9                                                        
Sherburne            88,511   7,785  8.8    80,726 91.2                                                        
Sibley               14,892   1,559 10.5    13,333 89.5                                                        
St. Louis           197,164  27,892 14.1   169,272 85.9                                                        
Stearns             151,431  15,944 10.5   135,487 89.5                                                        
Steele               36,136   3,897 10.8    32,239 89.2                                                        
Stevens               9,686   1,181 12.2     8,505 87.8                                                        
Swift                 9,388   1,395 14.9     7,993 85.1                                                        
Todd                 24,285   3,275 13.5    21,010 86.5                                                        

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

Percentage of People with Disabilities for Minnesota, 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.