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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per capita)

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

Correlations between Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per capita) ...

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per $ GDP) 96% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita) 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita) 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP) 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP) 79% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) 67% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees 64% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials 63% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments 63% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 62% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages 60% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 59% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll 58% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing 51% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added (per $ GDP) 46% [plot | correlate | graph]
...and  Energy > Wind Energy Electricity Production 45% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students 44% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Funds, trusts, and other financial vehicles 41% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total cost of materials 40% [plot | correlate | graph]
...and  Geography > Land area 39% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic 39% [plot | correlate | graph]
...and  Geography > Total area 37% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments (per $ GDP) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rail transportation 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rail transportation 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing 35% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials (per $ GDP) 34% [plot | correlate | graph]
...and  Crime > State and Federal prisoners held in local jails 34% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Funds, trusts, and other financial vehicles (per $ GDP) 33% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) (per capita) 33% [plot | correlate | graph]
...and  People > Total Hispanic Population 33% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages (per $ GDP) 33% [plot | correlate | graph]
...and  Health > Total Hospitals 32% [plot | correlate | graph]
...and  Health > Birth Rate per 1,000 32% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic 32% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption (per capita) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Crop and animal production (Farms) 31% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 31% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) 30% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per capita) 29% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total value of shipments 29% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages 29% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Air transportation 29% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic (per capita) 28% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total capital expenditures 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Securities, commodity contracts, investments 27% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Petroleum and coal products manufacturing 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Air transportation 27% [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.

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, Gross Operating Surplus (current dollars) Per capita figures expressed per 1 population.

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

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