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

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

Variable Strength
...and  Labor > Paper manufacturing > Number of employees 70% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees 70% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 67% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments 65% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 65% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours 65% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials 63% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials 60% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 60% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 60% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 60% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total capital expenditures 58% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total capital expenditures 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 57% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 57% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 56% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 56% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 56% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Printing and related support activities 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 54% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Printing and related support activities 53% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 53% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total cost of materials 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 53% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 52% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Production workers wages 52% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 51% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 51% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 50% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total value of shipments 50% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 50% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Value added 50% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Truck transportation 50% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 49% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added 49% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours 49% [plot | correlate | graph]
Average: 55%

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 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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