FACTOID # 2: Wisconsin has more metal fabricators per capita than any other state.
 
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Correlations > Labor Statistics > Petroleum & coal products manufacturing > Production workers hours (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

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

Variable Strength
...and  Industry > Petroleum & coal products manufacturing > Production workers wages (per $ GDP) 94% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per $ GDP) 89% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per capita) 89% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Support activities for mining (per capita) 88% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per $ GDP) 88% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Support activities for mining (per capita) 88% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) 87% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Support activities for mining (per $ GDP) 87% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Support activities for mining (per $ GDP) 87% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption (per capita) 87% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per capita) 87% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) (per capita) 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction (per $ GDP) 86% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction (per $ GDP) 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction (per capita) 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction (per capita) 85% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption (per $ GDP) 85% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Support activities for mining 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Support activities for mining 83% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Support activities for mining 82% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per capita) 82% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Support activities for mining 81% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments (per $ GDP) 77% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials (per $ GDP) 76% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 69% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) 69% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per $ GDP) 68% [plot | correlate | graph]
...and  Health > Diabetes Death Rate per 100,000 66% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction 66% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction 66% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures (per $ GDP) 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction 65% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added (per $ GDP) 64% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Support activities for mining (per capita) 59% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Rental and leasing services and lessors of intangible assets (per $ GDP) 58% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Rental and leasing services and lessors of intangible assets (per $ GDP) 58% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Support activities for mining (per $ GDP) 57% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 54% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 52% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per $ GDP) 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per $ GDP) 48% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per capita) 47% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rental and leasing services and lessors of intangible assets (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Apparel manufacturing (inverse) 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Pipeline transportation (per $ GDP) 43% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP) 43% [plot | correlate | graph]
Average: 70%

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 covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment. Per capita figures expressed per 100 population.

SOURCE: Annual Survey of Manufactures, 2004

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