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 > Total Manufacturing > Production workers hours

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

Correlations between Labor > Total Manufacturing > Production workers hours ...

Variable Strength
...and  Industry > Total Manufacturing > Production workers wages 96% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 95% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 94% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 93% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 91% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 90% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 89% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 89% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 89% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 88% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 88% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 88% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 87% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 87% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 87% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 86% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 86% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 86% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 86% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 86% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 86% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 86% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 86% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 86% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 85% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 84% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 84% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 84% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 84% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 83% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 83% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 83% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 83% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 83% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 82% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 82% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 82% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 82% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 82% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 82% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 81% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 81% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 81% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 81% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 80% [plot | correlate | graph]
Average: 86%

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
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