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Correlations > Labor Statistics > Plastics & rubber products manufacturing > Production workers (average per year)

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.
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Showing latest available data.

Correlations between Labor > Plastics & rubber products manufacturing > Production workers (average per year) ...

Variable Strength
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 94% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 92% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 92% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 92% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 91% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 90% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 89% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 88% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 88% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 87% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 86% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 86% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 86% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 84% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 84% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 83% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 83% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 83% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 82% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 82% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 82% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 82% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 81% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 81% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 80% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 79% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 79% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 79% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 78% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 78% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 77% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 77% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 76% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 75% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 74% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 74% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 74% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 74% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 74% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 73% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 73% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 73% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 73% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 73% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 73% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 71% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 71% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 71% [plot | correlate | graph]
Average: 81%

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

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