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Correlations > Energy Statistics > Electric Power Industry Emissions > NOx (per $ GDP)

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Showing latest available data.

Correlations between Energy > Electric Power Industry Emissions > NOx (per $ GDP) ...

Variable Strength
...and  Energy > Electric Power Industry Emissions > NOx (per capita) 97% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per $ GDP) 77% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per capita) 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rail transportation (per $ GDP) 58% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation (per $ GDP) 58% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 58% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 57% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 55% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per $ GDP) 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation (per $ GDP) 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation (per capita) 50% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 45% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > SO2 (per capita) 43% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation (per capita) 37% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units (inverse) 37% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 35% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (inverse) 35% [plot | correlate | graph]
...and  Economy > Median Earnings for Female Full-Time, Year-Round Workers (inverse) 35% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Mining, except oil and gas (per $ GDP) 33% [plot | correlate | graph]
...and  Energy > Weatherization Assistance for Low-Income Persons- Expenditures (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Mining, except oil and gas (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per capita) (inverse) 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per capita) (inverse) 32% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 32% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage (inverse) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Crop and animal production (Farms) (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Crop and animal production (Farms) (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Printing and related support activities 29% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 28% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per $ GDP) 28% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Public (per capita) 28% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse) 27% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per capita) 27% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Two Year (per capita) 26% [plot | correlate | graph]
...and  Economy > Median Household Income (inverse) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP) 26% [plot | correlate | graph]
...and  Housing > Median Housing Value of Owner-Occupied Housing Units (inverse) 26% [plot | correlate | graph]
...and  Health > Expenses per Inpatient Day (inverse) 25% [plot | correlate | graph]
...and  People > Percent of People Who are American Indian and Alaska Native Alone 25% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Intermediate Revenues (per capita) 25% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Mean Travel Time to Work (inverse) 25% [plot | correlate | graph]
...and  Energy > Total Electricity Consumption (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (inverse) 24% [plot | correlate | graph]
Average: 38%

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 - NOx (Short Tons). These numbers indicate the estimated level of nitrogen oxides (NOx)emissions from the electric power industry. Units are short tons. Per $ GDP figures expressed per 10 billion $ gross domestic product.

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