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Correlations > Labor Statistics > Chemical manufacturing > Production workers hours (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Chemical manufacturing > Production workers hours (per capita) ...

Variable Strength
...and  Industry > Chemical manufacturing > Annual payroll (per capita) 78% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 69% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 57% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 57% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) 53% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 53% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers (average per year) (per capita) 52% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 47% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 47% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 46% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 43% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 43% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 41% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 40% [plot | correlate | graph]
...and  Industry > Textile mills > Value added 37% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments 37% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials 36% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Number of employees (per capita) 36% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per capita) 31% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per capita) 31% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) 30% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per $ GDP) 30% [plot | correlate | graph]
...and  Health > Births of Low Birthweight as a % of Births 27% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 27% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 27% [plot | correlate | graph]
...and  Labor > Textile product mills > Number of employees (per capita) 26% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 25% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials 25% [plot | correlate | graph]
...and  Labor > Textile product mills > Production workers hours (per capita) 25% [plot | correlate | graph]
...and  Health > Infant Death Rate 25% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) (inverse) 25% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Black 24% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Textile and textile product mills 23% [plot | correlate | graph]
...and  Military > Air Force Recruits: Percent Black 23% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Black, non-Hispanic (per capita) 23% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) (inverse) 23% [plot | correlate | graph]
...and  People > Total Black Population (per capita) 23% [plot | correlate | graph]
...and  People > Percent of People Who are Black or African American Alone 22% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per capita) 22% [plot | correlate | graph]
...and  Industry > Textile product mills > Value added (per $ GDP) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Chemical manufacturing (per capita) 21% [plot | correlate | graph]
...and  Health > Inpatient Days 21% [plot | correlate | graph]
...and  Economy > Personal income (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) (inverse) 21% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 21% [plot | correlate | graph]
Average: 35%

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 covers all hours worked or paid for at the manufacturing plant, including actual overtime hours (not straight-time equivalent hours). It excludes hours paid for vacations, holidays, or sick leave when the employee is not at the establishment. Per capita figures expressed per 10 population.

SOURCE: Annual Survey of Manufactures, 2004

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