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Correlations > Energy Statistics > Electric Power Industry Emissions > CO2 (per capita)

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

Correlations between Energy > Electric Power Industry Emissions > CO2 (per capita) ...

Variable Strength
...and  Energy > Electric Power Industry Emissions > CO2 (per $ GDP) 97% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx (per capita) 78% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > NOx (per $ GDP) 73% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per $ GDP) 64% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per capita) 60% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 59% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation (per capita) 53% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rail transportation (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation (per $ GDP) 49% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Two Year (per capita) 48% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (inverse) 48% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Mining, except oil and gas (per $ GDP) 43% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Mining, except oil and gas (per $ GDP) 43% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Mining, except oil and gas (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Mining, except oil and gas (per capita) 38% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 37% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units (inverse) 37% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Public (per capita) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per $ GDP) 32% [plot | correlate | graph]
...and  Housing > Percent of Renter-occupied Units Spending 30% or More of Household Income on Rent and Utilities (inverse) 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 31% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Mining, except oil and gas (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > Median Earnings for Female Full-Time, Year-Round Workers (inverse) 31% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage (inverse) 31% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per capita) 30% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 30% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 30% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per capita) 28% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 28% [plot | correlate | graph]
...and  People > Percent of Grandparents Responsible for their Grandchildren 28% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per $ GDP) 27% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per capita) 27% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 27% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Computer systems design and related services 27% [plot | correlate | graph]
...and  Health > Change in Teen Birth Rate, '91-'03 27% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Utilities (per $ GDP) 26% [plot | correlate | graph]
Average: 40%

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: Electric Power Industry Emissions - CO2 (Short Tons). These numbers indicate the level of carbon dioxide emissions from the electric power industry. Units are short tons. Per capita figures expressed per 10 population.

SOURCE: National Priorities Project Database, 2001

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