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Correlations > Energy Statistics > Conservation/Energy-Efficiency R & D Programs- Expenditures (per $ GDP)

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per $ GDP) ...

Variable Strength
...and  Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per capita) 92% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per capita) 39% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 37% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 32% [plot | correlate | graph]
...and  Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures 31% [plot | correlate | graph]
...and  Housing > Average Property Loss per Fire 28% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Mining, except oil and gas (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Mining, except oil and gas (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Pipeline transportation (per $ GDP) 24% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 24% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Amusements, gambling, and recreation 23% [plot | correlate | graph]
...and  Health > High cholesterol 22% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Pipeline transportation (per capita) 22% [plot | correlate | graph]
...and  Energy > State Energy Program and Special Projects- Expenditures (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 21% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 21% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 20% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per capita) 20% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Mining, except oil and gas (per $ GDP) 20% [plot | correlate | graph]
...and  Economy > Percent of Households With Retirement Income 20% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 19% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Mining, except oil and gas (per capita) 19% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Mining, except oil and gas (per capita) 19% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 18% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 18% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Mining, except oil and gas 18% [plot | correlate | graph]
...and  Health > Outpatient Visits 18% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 17% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 17% [plot | correlate | graph]
...and  Energy > State Energy Program and Special Projects- Expenditures (per capita) (inverse) 17% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per $ GDP) 16% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Utilities (per capita) 16% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 16% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 16% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 16% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Miscellaneous manufacturing 16% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per $ GDP) 16% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per $ GDP) 15% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Utilities (per capita) 15% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per $ GDP) 15% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per $ GDP) 15% [plot | correlate | graph]
Average: 24%

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: Conservation/Energy-Efficiency R & D Programs- Expenditures. Regional Biomass Energy Programs (81.079) Per $ GDP figures expressed per 1 million $ gross domestic product.

SOURCE: National Priorities Project Database, 2001

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