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Health Data Analytics
  -- examining population disability status
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Certificate in Data Analytics

Visual analysis with ProximityOne tools
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visually analyze clients/markets
site analysis using 1 mile radius


$median household income
patterns by census tract - Houston

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113th Congressional Districts

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US Asian Indian population 2010

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geocoded students and school
McKinney ISD, TX

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geocoded students and school
with tax parcels & streets

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high school attendance zones
with schools by type

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%high school graduates by
census tract - Puerto Rico

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Austin, TX MSA counties &
places 10K+ population markers

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Appalachia counties (green) &
coalfield counties (orange)

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China provinces percent urban &
cities (markers) by state plan

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Honolulu census tracts (red)
& census blocks

Central Park area NYC

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Kansas City Metro & Counties
Home Depot locations (markers)

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World Cities; focus on Spain

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Support & Technical Assistance
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Is the market served by your clinic, hospital or professional practice defined by who shows up at the door? Understanding healthcare market dynamics is one way these entities can improve their bottom line by using Health Data Analytics. Professionals skilled with Health Data Analytics (HDA) can help their organization, or clients, better achieve their vision and improve performance. See the HDA main section for a summary of related topics and sections.

Analyzing Population Disability Status
This section is focused on use of tools and methods to analyze population disability status. Participants in the Certificate in Data Analytics may optionally use the tools and resources described here. The Data Analytics Methods Guide provides extended detail on use of these tools, data and development of applications to meet participant interests.

Population with disabilities change over the past 5 years ... the civilian noninstitutionalized population increased from 36,150,710 in 2009 to 39,674,679 in 2014, an increase of 3,523,969 (9.75%). Use the interactive table in this section to view, rank, compare attributes of the population by disability status for the U.S. and all states and metros. The latest data providing insights into the population with disabilities is from the 2014 American Community Survey (
ACS2014). Using these data, we can gain a better understanding of the characteristics of the population with disabilities.

U.S. Population with Disabilities
The following table (scroll section) presents an overview of the disability status of the civilian noninstitutionalized population by gender and age for the United States overall for 2009 compared to 2014.
Population Group20092009% 20142014%2009-14 Change2009-14 %Change
Under 5 years:10,852,0783.610,116,3603.2-735,718-6.8
      With a disability89,1990.087,4440.0-1,755-2.0
      No disability10,762,8793.610,028,9163.2-733,963-6.8
5 to 17 years:27,189,5679.027,397,5998.7208,0320.8
      With a disability1,736,9010.61,812,2570.675,3564.3
      No disability25,452,6668.425,585,3428.2132,6760.5
18 to 34 years:34,966,29411.636,326,85911.61,360,5653.9
      With a disability2,110,3620.72,361,0600.8250,69811.9
      No disability32,855,93210.933,965,79910.81,109,8673.4
35 to 64 years:58,218,46419.359,573,85119.01,355,3872.3
      With a disability7,361,5922.47,819,5292.5457,9376.2
      No disability50,856,87216.951,754,32216.5897,4501.8
65 to 74 years:9,483,3713.112,198,6343.92,715,26328.6
      With a disability2,525,5990.83,300,5391.1774,94030.7
      No disability6,957,7722.38,898,0952.81,940,32327.9
75 years and over:6,835,5042.37,674,3692.4838,86512.3
      With a disability3,318,2751.13,716,0191.2397,74412.0
      No disability3,517,2291.23,958,3501.3441,12112.5
Under 5 years:10,354,4453.49,655,4393.1-699,006-6.8
      With a disability69,3940.066,1910.0-3,203-4.6
      No disability10,285,0513.49,589,2483.1-695,803-6.8
5 to 17 years:25,962,2638.626,270,8758.4308,6121.2
      With a disability1,011,6230.31,088,1380.376,5157.6
      No disability24,950,6408.325,182,7378.0232,0970.9
18 to 34 years:34,833,33311.636,645,24311.71,811,9105.2
      With a disability1,804,3050.62,022,0350.6217,73012.1
      No disability33,029,02811.034,623,20811.01,594,1804.8
35 to 64 years:61,163,13320.362,991,26020.11,828,1273.0
      With a disability7,778,3282.68,257,5122.6479,1846.2
      No disability53,384,80517.754,733,74817.41,348,9432.5
65 to 74 years:11,072,9053.713,924,5204.42,851,61525.8
      With a disability2,827,4250.93,401,0201.1573,59520.3
      No disability8,245,4802.710,523,5003.42,278,02027.6
75 years and over:10,540,7173.511,115,4133.5574,6965.5
      With a disability5,517,7071.85,742,9351.8225,2284.1
      No disability5,023,0101.75,372,4781.7349,4687.0

Disability Status of the Civilian Noninstitutional Population: U.S.-State-Metro Interactive Table
  Click ShowAll button to reset. Click column header to sort; click again to sort other direction.
  Data based on ACS 2014 1 year estimates.
  See usage notes below table. See related Ranking Tables Main Page

  S070     Total Civilian Noninstitutionalized Population
  S071 With a disability
  S072     Under 18 years
  S073 With a disability
  S074     18 to 64 years
  S075 With a disability
  S076     65 years and over
  S077 With a disability

Usage Notes
  • Click ShowAll button between specific queries.
  • Use Find> button to select/filter based on name column.
      - Click ShowAll button first.
      - Enter search text in edit box to right of Find> button.
        ... text is case sensitive; partial; names okay.
      - Default value of "MSA" (no quotes) will select all MSAs (381 areas).
        ... note if the GeoType 310 Metro is used, 508 metros are selected (both MSAs and MISAs).
      - Example: "San" (no quotes) will select all areas with name starting with San.
  • Click row (turns blue) select, then right-click to copy to clipboard.
      - Optionally paste in another application such as Excel.
  • Mouse-over header cell to view description of column.
      - Alternatively associate cell header item number with scroll section above table for item description.

  • Estimates are not available for cells with -1 value (for this geography and this time frame).
  • All items are estimates centric to 2014.
  • Click ShowAll button between specific area queries.

Determining Metro Based on Address
Key in an address here to find codes/names to determine congressional district, city/place, school district, census tract, etc. geocode/area name based on address.

Key in an address here to view demographic-economic characteristics (and associated geographic codes) for that location (.e.g., for corresponding block group, census tract or other area containing that address).

Usage Notes
  • Use Select Area to select/filter based on name column.
      - Click ShowAll button first.
      - values entered: no spaces; strict structure; alpha must be upper case.
  • Click ShowAll button between specific queries.
  • Cells with -1 value could not be estimated (for this geography and this time frame).

Terms and Definitions

Data presented on disability status are based on data tabulated from the 2009 American Community Survey (ACS). See definitions and discussion. There are other disabilities, not covered on the ACS questionnaire. Among the noteworthy omissions in the terms listed below is the inability to speak or limitations with respect to speech ability.

The Individuals with Disabilities Education Act (IDEA) defines a speech or language impairment as a communication disorder such as stuttering, impaired articulation, oral motor disorders, a language impairment, or a voice impairment, that adversely affects a child’s educational performance.

Speech disability is also referred to as communication disorder, speech impairment, language disorders, speech and language impediments, communication disability.

Disability. Difficulty with any of the six types of disability collected in the American Community Survey: vision, hearing, ambulatory, cognitive, selfcare, and independent living. It covers functional limitations in the three domains of disability (communication, mental, and physical), activities of daily living (ADLs), and instrumental activities of daily living (IADLs).

Vision difficulty. Blindness or serious difficulty seeing, even when wearing glasses or contacts.

Hearing difficulty. Deafness or serious difficulty hearing.

Cognitive difficulty. Serious difficulty remembering, concentrating, or making decisions.

Ambulatory difficulty. Serious difficulty walking or climbing stairs.

Self-care difficulty. Difficulty dressing or bathing. This type relates to ADLs.

Independent living difficulty. Difficulty doing errands alone such as visiting a doctor’s office or shopping. This type relates to IADLs.

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Support Using these Resources
Learn more about accessing and using demographic-economic data and related analytical tools. Join us in a Data Analytics Lab session. There is no fee for these one-hour Web sessions. Each informal session is focused on a specific topic. The open structure also provides for Q&A and discussion of application issues of interest to participants.

Additional Information
ProximityOne develops geodemographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Follow ProximityOne on Twitter at Contact us (888-364-7656) with questions about data covered in this section or to discuss custom estimates, projections or analyses for your areas of interest.

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