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Correlations > Economy Statistics > GSP > Chain-type Quantity Indexes > Petroleum and coal products manufacturing

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Correlations between Economy > GSP > Chain-type Quantity Indexes > Petroleum and coal products manufacturing ...

Variable Strength
...and  Health > Smokeless tobacco users 26% [plot | correlate | graph]
...and  Crime > State and Federal prisoners held in local jails 25% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Mining, except oil and gas 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rail transportation 24% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Ungraded Students (per capita) (inverse) 22% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) 18% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Free Lunch Eligible 18% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP) 17% [plot | correlate | graph]
...and  Crime > State and Federal prisoners held in local jails (per capita) 17% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP) 17% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees 16% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Race / Ethnicity Unknown (per capita) (inverse) 16% [plot | correlate | graph]
...and  Health > Tobacco use > Total current smokers 15% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per $ GDP) (inverse) 14% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per $ GDP) 14% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Race / Ethnicity Unknown (per capita) (inverse) 14% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita) 14% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per capita) (inverse) 13% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita) 13% [plot | correlate | graph]
...and  Health > Tobacco use > Everyday smokers 13% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 13% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Ungraded Students (inverse) 13% [plot | correlate | graph]
...and  Energy > Coal Consumption 12% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Reduced-price Lunch Eligible 12% [plot | correlate | graph]
...and  Health > Physical exercise (inverse) 12% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 12% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 12% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per capita) 12% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 12% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP) 12% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per capita) 11% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Annual payroll (per $ GDP) (inverse) 11% [plot | correlate | graph]
...and  Health > % of PDPs with a $0 Deductible 11% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) 11% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) 11% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military 11% [plot | correlate | graph]
...and  Health > Limited Activity Days per Month (inverse) 11% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 11% [plot | correlate | graph]
...and  Government > 1972 Election > Youth voter turnout (inverse) 11% [plot | correlate | graph]
...and  Energy > Alternative Fuel Vehicles 11% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students 11% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 11% [plot | correlate | graph]
...and  Health > Percent of Women who had Dental Visit (inverse) 10% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer and electronic product manufacturing (per $ GDP) (inverse) 10% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Computer and electronic product manufacturing (per $ GDP) (inverse) 10% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Value added (per $ GDP) (inverse) 10% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Rail transportation 10% [plot | correlate | graph]
...and  Health > Preterm Births as a % of Births 10% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials 10% [plot | correlate | graph]
Average: 14%

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: Petroleum and coal products manufacturing, Chain-type Quantity Indexes (2000 = 100) A quantity index is an index number that measures the change in the level of a quantity from a base year, apart from anychanges in relative prices. The value of the quantity index is 100 for the base year.The Bureau of Economic Analysis uses chain-type annual-weighted indexes, also known as Fisher indexes, as its measure of realoutput and prices. These measures allow for the effects of changes in relative prices and in the composition of output overtime, thereby eliminating a major source of bias inherent in fixed-weight indexes.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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