FACTOID # 4: Though #1 in per capita consumption of petroleum and natural gas, Alaska spends the most money per GDP on renewable energy R & D programs.
 
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Correlations > Energy Statistics > Nuclear Energy (per capita)

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

Correlations between Energy > Nuclear Energy (per capita) ...

Variable Strength
...and  Energy > Nuclear Energy (per $ GDP) 94% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 67% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 63% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 63% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 58% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 55% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 54% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 53% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) (per capita) 53% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 52% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 43% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 39% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 39% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Machinery manufacturing 32% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Miscellaneous manufacturing 31% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees (inverse) 28% [plot | correlate | graph]
...and  Industry > Industrial firms > Percent over 500 employess 25% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Crop and animal production (Farms) (inverse) 25% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 25% [plot | correlate | graph]
...and  Industry > Industrial firms > Percent over 100 employess 25% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 22% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours (per capita) 22% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 22% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 21% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic (inverse) 21% [plot | correlate | graph]
...and  Health > HMO Penetration Rate (inverse) 20% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 20% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Number of employees (per capita) 20% [plot | correlate | graph]
...and  Health > Number of HMOs (inverse) 20% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Individualized Education Program (per capita) 19% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Bookmobiles (per capita) 19% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 19% [plot | correlate | graph]
...and  People > Percent of People Who Lived in a Different State 1 Year Ago 19% [plot | correlate | graph]
...and  Health > Avg. Annual % Growth, FY1980-2000 19% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 19% [plot | correlate | graph]
...and  Energy > Nuclear Energy 19% [plot | correlate | graph]
...and  Health > Number of Nursing Homes (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Publishing including software (inverse) 19% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > White (inverse) 18% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers (average per year) (inverse) 18% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Hospitals and nursing and residential care facilities (inverse) 18% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes 17% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Hospitals and nursing and residential care facilities (inverse) 17% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Hospitals and nursing and residential care facilities (inverse) 17% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 17% [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: Nuclear Energy (MkWh). These numbers indicate how much nuclear energy was consumed in a given state in terms of millions of kilowatt hours. Per capita figures expressed per 1,000 population.

SOURCE: National Priorities Project Database, 2001

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