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Correlations > Health Statistics > Disability prevalence

DEFINITION: Adults who are limited in any activities because of physical, mental, or emotional problems. Percent of respondents who answered yes.
VIEW DATA:   Totals  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.

Correlations between Health > Disability prevalence ...

Variable Strength
...and  Health > Adult physical disabilities 62% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 52% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 43% [plot | correlate | graph]
...and  Health > Percent of Women with Arthritis 41% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments (per $ GDP) 40% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) 33% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per $ GDP) 32% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) (per capita) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per capita) 31% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent White 30% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Female (inverse) 30% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Male 30% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours (per capita) 29% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes 28% [plot | correlate | graph]
...and  People > Percent of People 65 Years and Over With a Disability 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per capita) 26% [plot | correlate | graph]
...and  Energy > Total Electricity Consumption (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food services and drinking places (per capita) (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food services and drinking places (per capita) (inverse) 26% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages (per $ GDP) 26% [plot | correlate | graph]
...and  Lifestyle > Percent of Men Who Never Married (inverse) 24% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) 24% [plot | correlate | graph]
...and  Labor > Percent of People Who are in the Labor Force (Including Armed Forces) (inverse) 24% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) 24% [plot | correlate | graph]
...and  Health > High cholesterol 23% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Other (inverse) 23% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees (per capita) 23% [plot | correlate | graph]
...and  Economy > Median Household Income (inverse) 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food services and drinking places (per capita) (inverse) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other services, except government (per capita) (inverse) 23% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per capita) 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other services, except government (per capita) (inverse) 23% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per $ GDP) 22% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) 22% [plot | correlate | graph]
...and  Economy > Median Family Income (inverse) 22% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 21% [plot | correlate | graph]
...and  Health > Blind & Disabled SSI as % of Population 21% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 21% [plot | correlate | graph]
Average: 30%

About Correlations:

A correlation is a statistical measure of similarity between at least two given sets of data. StateMaster's correlations compare two variables from our database and reveal statistical relationships between them. The percentages you see represent the strength (or likelihood) that a change in the topic variable is matched by a change in the listed variables below it. But remember: These correlations do not imply causation, that is, one does not necessarily cause the other. Also, not all variables contain all states, rather subsets of states matched together.

VIEW FOR THIS VARIABLE:

NOTES:

  • Outliers have been removed only where they are outside 3 standard deviations of the mean.
  • Only variable pairs where at least 15 states match for each have been considered.
  • Strength is given by the correlation coefficient (R squared). It is the fraction of variation in Y that can be attributed to the variation in X. 100% signifies a perfect fit (R squared of 1). The top 50 such stats are displayed

SOURCE: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2003.

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