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Correlations > Labor Statistics > Machinery manufacturing > Production workers hours

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Showing latest available data.

Correlations between Labor > Machinery manufacturing > Production workers hours ...

Variable Strength
...and  Industry > Machinery manufacturing > Production workers wages 98% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 95% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 94% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 94% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 92% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 91% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 91% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 89% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 87% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 87% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 87% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 87% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 86% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 86% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 85% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 85% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 85% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 84% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 83% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 83% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 83% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 83% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 82% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 82% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 81% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 81% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 81% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 81% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 80% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 80% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 80% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 79% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 78% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 77% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 77% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 76% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 76% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 75% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 74% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 74% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 74% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 73% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 72% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 71% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees 71% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 70% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 70% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 68% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 68% [plot | correlate | graph]
Average: 82%

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.

SOURCE: Annual Survey of Manufactures, 2004

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