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) (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

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

Variable Strength
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) 93% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption (per $ GDP) 90% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption (per capita) 89% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours (per capita) 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Support activities for mining (per $ GDP) 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Support activities for mining (per capita) 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Support activities for mining (per $ GDP) 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Support activities for mining (per capita) 85% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per $ GDP) 85% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per $ GDP) 84% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages (per $ GDP) 84% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per capita) 84% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction (per $ GDP) 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction (per $ GDP) 83% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per capita) 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction (per capita) 82% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction (per capita) 82% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per capita) 81% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Support activities for mining 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Support activities for mining 79% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Support activities for mining 79% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Support activities for mining 78% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures (per $ GDP) 75% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per $ GDP) 75% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials (per $ GDP) 69% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments (per $ GDP) 67% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 65% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) 65% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction 63% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction 63% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction 62% [plot | correlate | graph]
...and  Health > Diabetes Death Rate per 100,000 61% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Support activities for mining (per $ GDP) 58% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Support activities for mining (per capita) 58% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per $ GDP) 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per $ GDP) 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per capita) 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per capita) 48% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Apparel manufacturing (inverse) 48% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 47% [plot | correlate | graph]
...and  Health > Percent Who Are Immunized (inverse) 46% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 45% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added (per $ GDP) 45% [plot | correlate | graph]
...and  Health > Fruits and vegetables consumption (inverse) 43% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita) 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita) 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rental and leasing services and lessors of intangible assets (per $ GDP) 42% [plot | correlate | graph]
Average: 68%

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: 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. Per capita figures expressed per 10,000 population.

SOURCE: Annual Survey of Manufactures, 2004

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