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Correlations > Industry Statistics > Chemical manufacturing > Annual payroll (per capita)

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Industry > Chemical manufacturing > Annual payroll (per capita) ...

Variable Strength
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 86% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours (per capita) 78% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 66% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 65% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Value added (per $ GDP) 64% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 59% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Number of employees (per capita) 54% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers (average per year) (per capita) 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per capita) 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per capita) 45% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per $ GDP) 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per $ GDP) 44% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials 34% [plot | correlate | graph]
...and  Health > Births of Low Birthweight as a % of Births 28% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Chemical manufacturing (per capita) 28% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments 26% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (per $ GDP) 26% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 25% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (per $ GDP) 25% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours (per capita) 24% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 24% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures 24% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Tenth Grade Students (per capita) (inverse) 24% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals 24% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (per capita) 23% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (per capita) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Chemical manufacturing (per $ GDP) 22% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eleventh Grade Students (per capita) (inverse) 22% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll 22% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 22% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (per $ GDP) 22% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per capita) 22% [plot | correlate | graph]
...and  Health > Admissions 22% [plot | correlate | graph]
...and  People > Sex Ratio (inverse) 21% [plot | correlate | graph]
...and  Health > Diabetes per 100 Adults 21% [plot | correlate | graph]
...and  Health > Diabetes Death Rate per 100,000 21% [plot | correlate | graph]
...and  Health > Infant Death Rate 21% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 20% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) (inverse) 20% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Black 20% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) (inverse) 20% [plot | correlate | graph]
...and  Economy > Personal income (per $ GDP) (inverse) 19% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages 19% [plot | correlate | graph]
...and  People > Total Black Population (per capita) 19% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 19% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers (average per year) (per capita) 19% [plot | correlate | graph]
...and  People > Percent of People Who Lived in a Different House Within the Same State 1 Year Ago (inverse) 19% [plot | correlate | graph]
Average: 32%

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 the gross earnings of all employees on the payrolls of operating manufacturing establishments paid in the calendar year. Respondents are told they could follow the definition of payrolls used for calculating the federal withholding tax. It includes all forms of compensation, such as salaries, wages, commissions, dismissal pay, bonuses, vacation and sick leave pay, and compensation in kind, prior to such deductions as employees' social security contributions, withholding taxes, group insurance, union dues, and savings bonds. The total includes salaries of officers of corporations; it excludes payments to proprietors or partners of unincorporated concerns. Also excluded are payments to members of Armed Forces and pensioners carried on the active payrolls of manufacturing establishments. Per capita figures expressed per 1 population.

SOURCE: Annual Survey of Manufactures, 2004

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