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Correlations > Labor Statistics > Primary metal manufacturing > Number of employees

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Showing latest available data.

Correlations between Labor > Primary metal manufacturing > Number of employees ...

Variable Strength
...and  Labor > Primary metal manufacturing > Production workers (average per year) 62% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours 60% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees 60% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials 59% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Primary metal manufacturing 57% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages 56% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments 53% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing 52% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added 51% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Plastics and rubber products manufacturing 50% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Value added 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll 49% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 48% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) 48% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 48% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments 48% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 48% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 48% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll 48% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll 47% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 46% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 46% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 46% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 46% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages 46% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 45% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) 45% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials 45% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing 44% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 44% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total capital expenditures 43% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages 43% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours 43% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added 43% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures 42% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 42% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added 42% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers hours 42% [plot | correlate | graph]
Average: 48%

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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