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Correlations > Labor Statistics > Textile product mills > Production workers (average per year) (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Textile product mills > Production workers (average per year) (per capita) ...

Variable Strength
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 78% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 78% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 71% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 71% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 67% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 65% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 61% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 56% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per capita) 56% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 55% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Textile and textile product mills 49% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 47% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 45% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 44% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 44% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 44% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 43% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 43% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 43% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per $ GDP) 39% [plot | correlate | graph]
...and  Energy > Nuclear Energy (per capita) 39% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 37% [plot | correlate | graph]
...and  Energy > Nuclear Energy R & D and Waste Management Programs- Expenditures (per capita) 35% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Machinery manufacturing 35% [plot | correlate | graph]
...and  Energy > Nuclear Energy R & D and Waste Management Programs- Expenditures (per $ GDP) 34% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 33% [plot | correlate | graph]
...and  Health > No. of MA Contract Withdrawals 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > State and local (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita) 33% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That are Mobile Homes 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > State and local (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > State and local (per $ GDP) 32% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Motor vehicle, body, trailer, and parts manufacturing 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills (per capita) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers (average per year) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per capita) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per capita) 29% [plot | correlate | graph]
Average: 44%

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. Per capita figures expressed per 10,000 population.

SOURCE: Annual Survey of Manufactures, 2004

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