FACTOID # 1: South Dakota has the highest employment ratio in America, but the lowest median earnings of full-time male employees.
 
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Correlations > Labor Statistics > Petroleum & coal products manufacturing > Production workers (average per year)

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Correlations between Labor > Petroleum & coal products manufacturing > Production workers (average per year) ...

Variable Strength
...and  Labor > Petroleum & coal products manufacturing > Number of employees 97% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages 92% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll 91% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials 88% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments 87% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours 87% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing 84% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing 84% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Petroleum and coal products manufacturing 83% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 78% [plot | correlate | graph]
...and  Geography > Land area 78% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption 76% [plot | correlate | graph]
...and  Geography > Total area 76% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students 72% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita) 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita) 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction 69% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction 68% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction 68% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic 68% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 68% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 67% [plot | correlate | graph]
...and  Health > Total Hospitals 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per capita) 65% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing 62% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Funds, trusts, and other financial vehicles 62% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic (per capita) 62% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP) 62% [plot | correlate | graph]
...and  People > Total Hispanic Population 61% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures 60% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Free Lunch Eligible 59% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total cost of materials 59% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic 57% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 57% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per $ GDP) 57% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Pipeline transportation 57% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total capital expenditures 57% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Securities, commodity contracts, investments 55% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Computer and electronic product manufacturing 54% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer and electronic product manufacturing 54% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Oil and gas extraction 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation 52% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students (per capita) 52% [plot | correlate | graph]
...and  Crime > Women under the jurisdiction of State or Federal correctional authorities 52% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 51% [plot | correlate | graph]
Average: 67%

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.

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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: This item includes all full-time and part-time employees on the payrolls of operating manufacturing establishments during any part of the pay period that included the 12th of the months specified on the report form. Included are employees on paid sick leave, paid holidays, and paid vacations; not included are proprietors and partners of unincorporated businesses.

SOURCE: Annual Survey of Manufactures, 2004

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