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StateMaster - Correlations > Energy > Hydroelectric Energy Consumption (per $ GDP)
 

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


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

Variable Strength
...and  Energy > Hydroelectric Energy Consumption (per capita) 97% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 71% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 70% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 70% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 69% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per capita) 69% [plot | correlate | graph]
...and  Energy > Renewables Share of Total Energy 69% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 68% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per capita) 68% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 68% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per $ GDP) 67% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 67% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per capita) 67% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per $ GDP) 66% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per capita) 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per capita) 53% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per $ GDP) 51% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures (per $ GDP) 37% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) (per capita) 37% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees (per capita) 33% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 30% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours (per capita) 29% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Intermediate Revenues (per capita) 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per $ GDP) 27% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per capita) 26% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption 26% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption 26% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) 22% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total value of shipments (per $ GDP) 22% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Value added (per $ GDP) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Ambulatory health care services (per $ GDP) 20% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Production workers wages (per $ GDP) 20% [plot | correlate | graph]
...and  Health > Births of Low Birthweight as a % of Births (inverse) 19% [plot | correlate | graph]
...and  Health > Gonorrhea Rate (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Machinery manufacturing (inverse) 19% [plot | correlate | graph]
...and  Health > Disability prevalence 18% [plot | correlate | graph]
...and  Industry > Industrial firms > Total number of establishments (per capita) 18% [plot | correlate | graph]
...and  Education > Public Libraries > Capital Expenditures (per $ GDP) 17% [plot | correlate | graph]
Average: 44%

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.

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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: Hydroelectric Energy Consumption (MkWh). These numbers indicate how the total consumption of hydroelectric energy in terms of millions of kilowatt hours. Per $ GDP figures expressed per 10 billion $ gross domestic product.

SOURCE: National Priorities Project Database, 2001 via StateMaster

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