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Correlations > Energy Statistics > State Energy Program and Special Projects- Expenditures (per $ GDP)

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

Correlations between Energy > State Energy Program and Special Projects- Expenditures (per $ GDP) ...

Variable Strength
...and  Energy > State Energy Program and Special Projects- Expenditures (per capita) 94% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 62% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 62% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 57% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 57% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 55% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (inverse) 36% [plot | correlate | graph]
...and  Labor > Computer & electronic product manufacturing > Number of employees (per capita) 36% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total value of shipments (per $ GDP) 35% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals (inverse) 35% [plot | correlate | graph]
...and  Industry > Industrial firms > Total number of establishments (per capita) 35% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Central Libraries (per capita) 33% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (inverse) 33% [plot | correlate | graph]
...and  Health > Total FQHCs (inverse) 33% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Mining, except oil and gas (inverse) 32% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total cost of materials (per $ GDP) 32% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx (inverse) 31% [plot | correlate | graph]
...and  Health > Diabetes (inverse) 31% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers (average per year) (inverse) 31% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (inverse) 31% [plot | correlate | graph]
...and  Energy > Weatherization Assistance for Low-Income Persons- Expenditures (per $ GDP) 30% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure (inverse) 29% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Branch Libraries (inverse) 29% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (inverse) 29% [plot | correlate | graph]
...and  Energy > Weatherization Assistance for Low-Income Persons- Expenditures (per capita) 29% [plot | correlate | graph]
...and  Health > Diabetes per 100 Adults (inverse) 29% [plot | correlate | graph]
...and  Crime > Prisoners under the jurisdiction of State or Federal correctional authorities (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Warehousing and storage (inverse) 28% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage (inverse) 28% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments (inverse) 28% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) (inverse) 28% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Value added (per $ GDP) 28% [plot | correlate | graph]
...and  Health > High cholesterol (inverse) 28% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Individualized Education Program (inverse) 27% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Black, non-Hispanic (inverse) 27% [plot | correlate | graph]
...and  Health > Total SSDI Beneficiaries (inverse) 27% [plot | correlate | graph]
...and  Government > 2004 Election > Total registered voters (inverse) 27% [plot | correlate | graph]
...and  Government > 2004 Election > Total voted (inverse) 27% [plot | correlate | graph]
...and  Government > 2004 Election > Voting age population (inverse) 27% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours (inverse) 27% [plot | correlate | graph]
...and  Labor > Mean Travel Time to Work (inverse) 27% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic (inverse) 27% [plot | correlate | graph]
...and  Labor > Computer & electronic product manufacturing > Production workers (average per year) (per capita) 26% [plot | correlate | graph]
...and  Health > Total Medicare Beneficiaries (inverse) 26% [plot | correlate | graph]
Average: 35%

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: State Energy Program and Special Projects- Expenditures. and two programs which have been eliminated (but have some spending during 1983-present): Solar Energy Partnership Support and Barrier Elimination (81.118, deleted in 2001) and Geothermal Technologies R & D (81.073 deleted in 1982)." Per $ GDP figures expressed per 1 million $ gross domestic product.

SOURCE: National Priorities Project Database, 2001

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