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StateMaster - Correlations > Labor > Plastics & rubber products manufacturing > Number of employees
 

Correlations > Labor Statistics > Plastics & rubber products manufacturing > Number of employees


Showing latest available data.

Correlations between Labor > Plastics & rubber products manufacturing > Number of employees ...

Variable Strength
...and  Industry > Furniture & related product manufacturing > Annual payroll 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 63% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 63% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Furniture and related product manufacturing 62% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Value added 62% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 61% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total value of shipments 61% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 59% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers hours 58% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total cost of materials 57% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 57% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 56% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 56% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Private, Not For Profit 56% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 56% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers (average per year) 56% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Machinery manufacturing 55% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Value added 55% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total value of shipments 55% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 55% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Production workers wages 54% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 54% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total cost of materials 54% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Number of employees 54% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 53% [plot | correlate | graph]
...and  Industry > Furniture & related product manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing 52% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 52% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Number of employees 52% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers (average per year) 52% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 52% [plot | correlate | graph]
...and  Labor > Printing & related support activities > Production workers hours 52% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Utilities 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 51% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 51% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 51% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 51% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 51% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 50% [plot | correlate | graph]
...and  Energy > Oil Consumption 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 50% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Electrical equipment and appliance manufacturing 50% [plot | correlate | graph]
...and  Energy > Total Electricity Consumption 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Printing and related support activities 50% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Annual payroll 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.

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 via StateMaster

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