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Correlations > Labor Statistics > Machinery manufacturing > Production workers (average per year)

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Showing latest available data.

Correlations between Labor > Machinery manufacturing > Production workers (average per year) ...

Variable Strength
...and  Labor > Machinery manufacturing > Production workers hours 92% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 92% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 88% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 87% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 87% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 86% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 84% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 83% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 83% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 83% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 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 82% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 81% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 81% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 81% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 80% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 79% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 79% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 79% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 79% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 78% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 78% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 78% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 78% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 77% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 77% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures 76% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 76% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 75% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 75% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 75% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 74% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 74% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 73% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 72% [plot | correlate | graph]
...and  Education > Public Libraries > Public Service Hours 72% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 72% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 72% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees 71% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 71% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 71% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 70% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing 69% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 68% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 68% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 67% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Truck transportation 66% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 66% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 65% [plot | correlate | graph]
Average: 77%

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 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.

SOURCE: Annual Survey of Manufactures, 2004

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