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Correlations > Health Statistics > Prevalence of Poor Mental Health

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Correlations between Health > Prevalence of Poor Mental Health ...

Variable Strength
...and  Labor > Leather & allied product manufacturing > Number of employees 32% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth (inverse) 30% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita (inverse) 25% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (inverse) 22% [plot | correlate | graph]
...and  Health > Beds (inverse) 22% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (inverse) 22% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (inverse) 21% [plot | correlate | graph]
...and  Health > Expenses per Inpatient Day 21% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (inverse) 19% [plot | correlate | graph]
...and  Health > Nursing Home Residents as % of 65+ Pop (inverse) 18% [plot | correlate | graph]
...and  Health > Medicare Beneficiaries Below 150% FPL (inverse) 17% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Health > Admissions (inverse) 17% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per $ GDP) 17% [plot | correlate | graph]
...and  People > Percent of Children With All Parents in the Labor Force (inverse) 17% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) 17% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per $ GDP) 17% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages 17% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) (inverse) 16% [plot | correlate | graph]
...and  Health > HMO Penetration Rate 16% [plot | correlate | graph]
...and  Health > Fire death rate (inverse) 16% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) (inverse) 16% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (inverse) 16% [plot | correlate | graph]
...and  Housing > Percent of Mortgaged Owners Spending 30% or More of Household Income on Selected Monthly Owner Costs 15% [plot | correlate | graph]
...and  Health > Inpatient Days (inverse) 15% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Asian/Pacific Islander (per capita) 15% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (inverse) 15% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other transportation and support activities (per $ GDP) (inverse) 15% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) (per capita) (inverse) 15% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff (per capita) (inverse) 15% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total capital expenditures (per $ GDP) (inverse) 15% [plot | correlate | graph]
...and  Health > Number of Medicare PDPs 15% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers (average per year) (per capita) (inverse) 15% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other transportation and support activities (per $ GDP) (inverse) 15% [plot | correlate | graph]
...and  Health > Organizations Offering Medicare PDPs 15% [plot | correlate | graph]
...and  Health > Child Death Rate (inverse) 14% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) (inverse) 14% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (per capita) (inverse) 14% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Two Year (per capita) (inverse) 14% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) 14% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Asian/Pacific Islander 14% [plot | correlate | graph]
...and  Health > Teen Death Rate (inverse) 14% [plot | correlate | graph]
...and  Energy > Geothermal Energy Consumed 13% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units 13% [plot | correlate | graph]
...and  People > Percent of People Who are Asian Alone 13% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other professional, scientific and technical services (per $ GDP) 13% [plot | correlate | graph]
...and  Health > Health Care as a % of Total Employment (inverse) 13% [plot | correlate | graph]
Average: 17%

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: Percent of Adults with Poor Mental Health, 2004

SOURCE: statehealthfacts.org

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