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 Pennsylvania 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 Pennsylvania. 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 Pennsylvania, 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 Pennsylvania 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 Pennsylvania that are presented:

  • For the number of people with and without disabilities:
    • The range of total people across Pennsylvania counties, also known as the difference between the largest and smallest counts of people across Pennsylvania counties, was 1,561,701.
      • The county with the greatest number of total people was Philadelphia (1,565,323 people).
      • The county with the least number of total people was Forest (3,622 people).
    • The average number of total people across all counties was 187,871.
    • The median, also known as the middle-most number, of total people across Pennsylvania counties was 84,149.
  • For the number of people with disabilities:
    • The range of people with disabilities across Pennsylvania counties, also known as the difference between the largest and smallest counts of people with disabilities across Pennsylvania counties, was 260,576.
      • The county with the greatest number of people with disabilities was Philadelphia (261,440 people).
      • The county with the least number of people with disabilities was Cameron (864 people).
    • The average number of people with disabilities across all counties was 26,254.
    • The median, also known as the middle-most number, of people with disabilities across Pennsylvania counties was 14,357.
  • For the percentage of people with disabilities:
    • For the entire state of Pennsylvania, the overall percentage of people with disabilities is 14.0%.
      • The county with the highest percentage of people with disabilities was Forest (28.4%).
      • The county with the lowest percentage of people with disabilities was Chester (8.9%).

 

  • For the number of people without disabilities:
    • The range of people without disabilities across Pennsylvania counties, also known as the difference between the largest and smallest counts of people without disabilities across Pennsylvania counties, was 1,301,291.
      • The county with the greatest number of people without disabilities was Philadelphia (1,303,883 people).
      • The county with the least number of people without disabilities was Forest (2,592 people).
    • The average number of people without disabilities across all counties was 161,616.
    • The median, also known as the middle-most number, of people without disabilities across Pennsylvania counties was 70,071.
  • For the percentage of people without disabilities:
    • For the entire state of Pennsylvania, the overall percentage of people without disabilities is 86.0%.
      • The county with the highest percentage of people without disabilities was Chester (91.1%).
      • The county with the lowest percentage of people without disabilities was Forest (71.6%).
Prevalence of People with and without Disabilities for Pennsylvania, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
 Pennsylvania  12,587,348 1,759,043 14.0 10,828,305 86.0    Fayette        127,745    25,189 19.7    102,556 80.3
    Adams         101,190    13,856 13.7     87,334 86.3     Forest          3,622     1,030 28.4      2,592 71.6
  Allegheny     1,207,932   162,249 13.4  1,045,683 86.6    Franklin       152,824    21,920 14.3    130,904 85.7
  Armstrong        65,307    11,959 18.3     53,348 81.7     Fulton         14,479     2,434 16.8     12,045 83.2
    Beaver        164,403    26,574 16.2    137,829 83.8     Greene         34,341     6,841 19.9     27,500 80.1
   Bedford         47,890     7,887 16.5     40,003 83.5   Huntingdon       41,136     7,067 17.2     34,069 82.8
    Berks         413,205    56,526 13.7    356,679 86.3    Indiana         83,664    13,012 15.6     70,652 84.4
    Blair         121,711    21,472 17.6    100,239 82.4   Jefferson        43,302     7,227 16.7     36,075 83.3
   Bradford        60,377     8,961 14.8     51,416 85.2    Juniata         24,386     3,327 13.6     21,059 86.4
    Bucks         621,003    67,135 10.8    553,868 89.2   Lackawanna      206,790    31,911 15.4    174,879 84.6
    Butler        184,959    23,508 12.7    161,451 87.3   Lancaster       535,078    62,722 11.7    472,356 88.3
   Cambria        129,775    24,154 18.6    105,621 81.4    Lawrence        85,690    15,619 18.2     70,071 81.8
   Cameron          4,572       864 18.9      3,708 81.1    Lebanon        138,015    18,107 13.1    119,908 86.9
    Carbon         63,019    10,368 16.5     52,651 83.5     Lehigh        359,963    48,467 13.5    311,496 86.5
    Centre        156,625    14,454  9.2    142,171 90.8    Luzerne        309,905    48,951 15.8    260,954 84.2
   Chester        514,666    45,752  8.9    468,914 91.1    Lycoming       111,088    17,026 15.3     94,062 84.7
   Clarion         38,317     6,316 16.5     32,001 83.5     McKean         39,392     7,140 18.1     32,252 81.9
  Clearfield       74,436    14,357 19.3     60,079 80.7     Mercer        107,478    18,990 17.7     88,488 82.3
   Clinton         38,358     6,368 16.6     31,990 83.4    Mifflin         45,674     7,288 16.0     38,386 84.0
   Columbia        64,957     9,037 13.9     55,920 86.1     Monroe        166,996    24,898 14.9    142,098 85.1
   Crawford        84,149    14,502 17.2     69,647 82.8   Montgomery      809,623    80,954 10.0    728,669 90.0
  Cumberland      242,092    27,802 11.5    214,290 88.5    Montour         17,584     2,423 13.8     15,161 86.2
   Dauphin        272,284    33,781 12.4    238,503 87.6  Northampton      300,186    37,484 12.5    262,702 87.5
   Delaware       556,900    66,312 11.9    490,588 88.1 Northumberland     87,881    14,574 16.6     73,307 83.4
     Elk           30,003     4,891 16.3     25,112 83.7     Perry          45,539     6,716 14.7     38,823 85.3
     Erie         267,417    41,007 15.3    226,410 84.7  Philadelphia   1,565,323   261,440 16.7  1,303,883 83.3
Prevalence of People with and without Disabilities for Pennsylvania, by County: 2019
County Total Disability No Disability   County Total Disability No Disability
Count % Count % Count % Count %
     Pike          55,051     9,490 17.2     45,561 82.8                                                         
    Potter         16,565     3,223 19.5     13,342 80.5                                                         
  Schuylkill      135,532    23,373 17.2    112,159 82.8                                                         
    Snyder         40,150     4,842 12.1     35,308 87.9                                                         
   Somerset        69,415    11,834 17.0     57,581 83.0                                                         
   Sullivan         5,950     1,059 17.8      4,891 82.2                                                         
 Susquehanna       40,685     6,568 16.1     34,117 83.9                                                         
    Tioga          40,528     7,027 17.3     33,501 82.7                                                         
    Union          39,694     5,216 13.1     34,478 86.9                                                         
   Venango         51,120     9,909 19.4     41,211 80.6                                                         
    Warren         39,135     6,268 16.0     32,867 84.0                                                         
  Washington      205,437    31,452 15.3    173,985 84.7                                                         
    Wayne          47,847     9,024 18.9     38,823 81.1                                                         
 Westmoreland     349,436    54,013 15.5    295,423 84.5                                                         
   Wyoming         27,074     3,757 13.9     23,317 86.1                                                         
     York         440,478    59,139 13.4    381,339 86.6                                                         
                                                                                                                 
                                                                                                                 
                                                                                                                 
                                                                                                                 
                                                                                                                 
                                                                                                                 
                                                                                                                 
                                                                                                                 
                                                                                                                 
                                                                                                                 
Count of People with Disabilities for Pennsylvania, by County: 2019

Percentage of People with Disabilities for Pennsylvania, 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.

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E-mail: Disability.Statistics@unh.edu
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