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

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Electrical equipment and appliance manufacturing 45% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing 40% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 39% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total capital expenditures 39% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments 39% [plot | correlate | graph]
...and  Health > Change in Number with Medicaid 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 38% [plot | correlate | graph]
...and  Industry > Food manufacturing > Production workers wages 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures 38% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 37% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total cost of materials 37% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing 35% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 34% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 34% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 34% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 34% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per capita) 33% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Labor > Food manufacturing > Production workers hours 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food product manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food product manufacturing (per capita) 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food product manufacturing (per capita) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing (per capita) 31% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 31% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages 30% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Furniture and related product manufacturing 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Furniture and related product manufacturing 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Furniture and related product manufacturing 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage (per capita) 28% [plot | correlate | graph]
...and  Labor > Furniture & related product manufacturing > Production workers hours 28% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 28% [plot | correlate | graph]
Average: 34%

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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