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

VIEW DATA:   Totals   Per capita   Per $ GDP  
Definition     Source      Printable version   
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Showing latest available data.

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

Variable Strength
...and  Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per $ GDP) 92% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) 41% [plot | correlate | graph]
...and  Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures 40% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 28% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per capita) 28% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 26% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 23% [plot | correlate | graph]
...and  Housing > Average Property Loss per Fire 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Miscellaneous manufacturing 22% [plot | correlate | graph]
...and  Health > High cholesterol 21% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 20% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 20% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 20% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 20% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per capita) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per capita) 19% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP) 19% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers hours (per capita) 19% [plot | correlate | graph]
...and  Economy > Percent of Households With Retirement Income 18% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 18% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Amusements, gambling, and recreation 18% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 17% [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  Industry > Primary metal manufacturing > Total value of shipments 17% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per $ GDP) 17% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per $ GDP) 17% [plot | correlate | graph]
...and  Health > Outpatient Visits 17% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 17% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Miscellaneous manufacturing 17% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Miscellaneous manufacturing 16% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Utilities (per capita) 16% [plot | correlate | graph]
...and  Energy > State Energy Program and Special Projects- Expenditures (per $ GDP) (inverse) 16% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Annual payroll (per capita) 16% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing (per capita) 16% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 16% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Waste management and remediation services (inverse) 16% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 16% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) 15% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per capita) 15% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per capita) 15% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Reduced-price Lunch Eligible (per capita) (inverse) 15% [plot | correlate | graph]
...and  Energy > Basic Energy R & D: Nuclear Physics and Others- Expenditures (per $ GDP) 15% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Pipeline transportation (per $ GDP) 15% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) 15% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 15% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Pipeline transportation (per capita) 15% [plot | correlate | graph]
Average: 21%

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 capita figures expressed per 10 population.

SOURCE: National Priorities Project Database, 2001

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