FACTOID # 10: The total number of state executions in 2005 was 60: 19 in Texas and 41 elsewhere. The racial split was 19 Black and 41 White.
 
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Correlations > Energy Statistics > Hydroelectric Energy Consumption

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

Correlations between Energy > Hydroelectric Energy Consumption ...

Variable Strength
...and  Energy > Renewable Hydroelectric Production 63% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption 60% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures 42% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees 40% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 37% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll 34% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages 32% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 31% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) 30% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per capita) 30% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Publishing including software 29% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Publishing including software 29% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments 29% [plot | correlate | graph]
...and  Energy > Renewables Share of Total Energy 29% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 28% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 28% [plot | correlate | graph]
...and  Crime > Women under the jurisdiction of State or Federal correctional authorities 27% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 27% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Asian / Pacific Islander (per capita) 27% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments 26% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 26% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees 26% [plot | correlate | graph]
...and  Health > ADAP Insurance Purchasing/Maintenance Funds 26% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Motion picture and sound recording industries 25% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motion picture and sound recording industries (per $ GDP) 25% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Asian / Pacific Islander (per capita) 25% [plot | correlate | graph]
...and  Housing > Percent of Occupied Housing Units That are Owner-occupied (inverse) 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motion picture and sound recording industries (per $ GDP) 25% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total capital expenditures (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motion picture and sound recording industries (per capita) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motion picture and sound recording industries 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motion picture and sound recording industries (per capita) 24% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing 24% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motion picture and sound recording industries 24% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures 23% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Management of companies and enterprises 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Management of companies and enterprises 23% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff Expenditures 22% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials 22% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 22% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per capita) 21% [plot | correlate | graph]
...and  People > Percent of People Who are Asian Alone 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per capita) 21% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 21% [plot | correlate | graph]
Average: 28%

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: Hydroelectric Energy Consumption (MkWh). These numbers indicate how the total consumption of hydroelectric energy in terms of millions of kilowatt hours.

SOURCE: National Priorities Project Database, 2001

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