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Correlations > Health Statistics > SSDI Beneficiaries as % of Population

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Showing latest available data.

Correlations between Health > SSDI Beneficiaries as % of Population ...

Variable Strength
...and  People > Percent of People 21 to 64 Years Old With a Disability 73% [plot | correlate | graph]
...and  Health > High blood pressure 69% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 63% [plot | correlate | graph]
...and  Health > Blind & Disabled SSI as % of Population 59% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 58% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 56% [plot | correlate | graph]
...and  Health > Medicare Beneficiaries Below 150% FPL 55% [plot | correlate | graph]
...and  Health > Percent of Women with Arthritis 55% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 54% [plot | correlate | graph]
...and  Health > Adult physical disabilities 53% [plot | correlate | graph]
...and  Health > Tobacco use > Everyday smokers 53% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 51% [plot | correlate | graph]
...and  Health > SSI Beneficiaries as % of Population 50% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 49% [plot | correlate | graph]
...and  Health > Diabetes 48% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 48% [plot | correlate | graph]
...and  Health > Emergency Room Visits 47% [plot | correlate | graph]
...and  Labor > Percent of People Who are in the Labor Force (Including Armed Forces) (inverse) 46% [plot | correlate | graph]
...and  Health > Medicare Enrollment as a % of Total Pop 45% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 44% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 43% [plot | correlate | graph]
...and  People > Percent of People 65 Years and Over With a Disability 43% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 42% [plot | correlate | graph]
...and  Health > Tobacco use > Total current smokers 42% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 42% [plot | correlate | graph]
...and  Health > Admissions 41% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 41% [plot | correlate | graph]
...and  Health > Disability prevalence 40% [plot | correlate | graph]
...and  Economy > Median Household Income (inverse) 40% [plot | correlate | graph]
...and  Health > Cancer Death Rate per 100,000 39% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (per $ GDP) 39% [plot | correlate | graph]
...and  Health > Diabetes per 100 Adults 39% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments (per $ GDP) 39% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in Management, Business and Financial Occupations (inverse) 38% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) 37% [plot | correlate | graph]
...and  Health > Heart Disease Death Rate per 100,000 37% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 36% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed High School (Including Equivalency) (inverse) 36% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 36% [plot | correlate | graph]
...and  Economy > Percent of People 65 Years and Over Below Poverty Level 36% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) 36% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 35% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage (inverse) 35% [plot | correlate | graph]
...and  Economy > Median Family Income (inverse) 35% [plot | correlate | graph]
...and  Health > Health Spending as % Gross State Product 35% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (per capita) (inverse) 34% [plot | correlate | graph]
Average: 44%

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



DEFINITION: Total Social Security Disability Insurance (SSDI) Beneficiaries Ages 18-64 as a Percent of Population (18-64), 2003

SOURCE: statehealthfacts.org

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