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Correlations > Labor Statistics > Plastics & rubber products manufacturing > Production workers hours

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Showing latest available data.

Correlations between Labor > Plastics & rubber products manufacturing > Production workers hours ...

Variable Strength
...and  Labor > Total Manufacturing > Production workers (average per year) 64% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 63% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 62% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 61% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 61% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 61% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Number of employees 58% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 58% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 58% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 57% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 56% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 56% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 56% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 56% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 56% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 56% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 55% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 55% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 54% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 54% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 53% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 53% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 53% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 52% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer systems design and related services 51% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 51% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Masters 51% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 50% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 50% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 50% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages 50% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 49% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 49% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 49% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Utilities 49% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Teachers 49% [plot | correlate | graph]
Average: 54%

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 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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