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Correlations > Energy Statistics > Coal Consumption (per $ GDP)

VIEW DATA:   Totals   Per capita   Per $ GDP  
Definition     Source      Printable version   
    Bar Graph   Map   Correlations  

Showing latest available data.

Correlations between Energy > Coal Consumption (per $ GDP) ...

Variable Strength
...and  Energy > Coal Consumption (per capita) 98% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 41% [plot | correlate | graph]
...and  Energy > Coal Consumption 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 36% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 36% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 33% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 32% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage (inverse) 32% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP) 32% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 31% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 30% [plot | correlate | graph]
...and  Health > Alcohol consumption > Casual drinkers (inverse) 30% [plot | correlate | graph]
...and  Health > Fruits and vegetables consumption (inverse) 29% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 28% [plot | correlate | graph]
...and  Housing > Median Housing Value of Owner-Occupied Housing Units (inverse) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per $ GDP) 27% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing (per $ GDP) 27% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx (per capita) 27% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage (per $ GDP) 26% [plot | correlate | graph]
...and  Health > Hospice Services 26% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per capita) 26% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 26% [plot | correlate | graph]
...and  Education > Percent of People Who Have Completed a Bachelor's Degree (inverse) 25% [plot | correlate | graph]
...and  Housing > Percent of Mortgaged Owners Spending 30% or More of Household Income on Selected Monthly Owner Costs (inverse) 25% [plot | correlate | graph]
...and  Health > Mental Health > State Expenditures Per Capita (inverse) 25% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours (per capita) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 25% [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: Coal Consumption (Short Tons). This dataset indicates state figures, in short tons, for annual coal consumption. Per $ GDP figures expressed per 10 million $ gross domestic product.

SOURCE: National Priorities Project Database, 2001

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