FACTOID # 2: Puerto Rico has roughly the same gross state product as Montana, Wyoming and North Dakota combined.
 
 Home   Statistics   States A-Z   Flags   Maps   FAQ   About 
 
 
 
WHAT'S NEW
TOP STATS
More Top Stats »
 

SEARCH ALL

FACTS & STATISTICS    Advanced view

Search encyclopedia, statistics and forums:

 

 

(* = Graphable)

 

 


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

VIEW DATA:   Totals  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.

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

Variable Strength
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) 62% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) (per capita) 61% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages (per $ GDP) 61% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours (per capita) 56% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per capita) 48% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 39% [plot | correlate | graph]
...and  Health > Emergency Room Visits 36% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 35% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 34% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 31% [plot | correlate | graph]
...and  Health > Fire death rate 29% [plot | correlate | graph]
...and  Health > Alcohol consumption > Casual drinkers (inverse) 28% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per capita) 28% [plot | correlate | graph]
...and  People > Percent of People 65 Years and Over With a Disability 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Support activities for mining (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Support activities for mining (per capita) 27% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per $ GDP) 26% [plot | correlate | graph]
...and  Health > Obesity Rate 26% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > Percent below poverty level 25% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per $ GDP) 25% [plot | correlate | graph]
...and  Health > Diabetes 25% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (inverse) 25% [plot | correlate | graph]
...and  Health > Blind & Disabled SSI as % of Population 25% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 24% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 24% [plot | correlate | graph]
...and  Economy > Percent of Related Children Below Poverty Level 24% [plot | correlate | graph]
...and  Economy > Percent of Children Below Poverty Level 24% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption (per capita) 24% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals 23% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) 23% [plot | correlate | graph]
...and  Health > Diabetes per 100 Adults 23% [plot | correlate | graph]
...and  Health > Mental Health > State Expenditures Per Capita (inverse) 23% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 22% [plot | correlate | graph]
...and  Crime > Firearms Death Rate per 100,000 22% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 22% [plot | correlate | graph]
...and  Energy > Total Electricity Consumption (per capita) 22% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Pipeline transportation (per $ GDP) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per $ GDP) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 22% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food services and drinking places (per capita) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Construction (per capita) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food services and drinking places (per capita) (inverse) 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



DEFINITION: Number of Diabetes Deaths per 100,000 Population, 2002

SOURCE: statehealthfacts.org

Related links:
 

COMMENTARY     


Share your thoughts, questions and commentary here
Your name
Your comments
Please enter the 5-letter protection code

Want to know more?
Search encyclopedia, statistics and forums:
 


Press Releases |  Feeds | Contact
© Copyright StateMaster.com 2003-2009. All Rights Reserved. Usage implies agreement with terms.