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Correlations > Health Statistics > Stroke Death Rate per 100,000

VIEW DATA:   Totals  
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Showing latest available data.

Correlations between Health > Stroke Death Rate per 100,000 ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Transit and ground passenger transportation (per capita) (inverse) 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Transit and ground passenger transportation (per capita) (inverse) 44% [plot | correlate | graph]
...and  Health > Medicaid Payments per Enrollee, FY2002 (inverse) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Transit and ground passenger transportation (per $ GDP) (inverse) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Transit and ground passenger transportation (per $ GDP) (inverse) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Social assistance (per capita) (inverse) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Social assistance (per capita) (inverse) 39% [plot | correlate | graph]
...and  Health > Alcohol consumption > Casual drinkers (inverse) 37% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Transit and ground passenger transportation (per capita) (inverse) 36% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 35% [plot | correlate | graph]
...and  People > Percent of People 65 Years and Over With a Disability 35% [plot | correlate | graph]
...and  Health > Obesity Rate 35% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 34% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Total Revenue from All Sources (per capita) (inverse) 34% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Instruct. Expend.- Subtotal (per capita) (inverse) 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 32% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Total Expenditures for Education (per capita) (inverse) 32% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Current Expenditures (per capita) (inverse) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Transit and ground passenger transportation (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 31% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 31% [plot | correlate | graph]
...and  Health > Percent of Women who had Dental Visit (inverse) 30% [plot | correlate | graph]
...and  Health > Overweight and Obesity Rate 30% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 30% [plot | correlate | graph]
...and  Economy > Personal income (per capita) (inverse) 29% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total capital expenditures (inverse) 29% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 29% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Race / Ethnicity Unknown (per capita) (inverse) 28% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Social assistance (per capita) (inverse) 28% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 28% [plot | correlate | graph]
...and  Health > Teen Death Rate 28% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 27% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Race / Ethnicity Unknown (per capita) (inverse) 27% [plot | correlate | graph]
...and  People > Percent of Grandparents Responsible for their Grandchildren 27% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 27% [plot | correlate | graph]
...and  Economy > Median Family Income (inverse) 27% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 27% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other professional, scientific and technical services (per capita) (inverse) 26% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 26% [plot | correlate | graph]
Average: 32%

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: Number of Stroke Deaths per 100,000 Population, 2002

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