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Correlations > Labor Statistics > Percent of Civilian Employed People Who are Private Wage and Salary Workers

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Showing latest available data.

Correlations between Labor > Percent of Civilian Employed People Who are Private Wage and Salary Workers ...

Variable Strength
...and  Education > Elementary & Secondary Finance > Federal Revenue- Subtotal (per capita) (inverse) 48% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 45% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per capita) (inverse) 44% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal military (per $ GDP) (inverse) 44% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per $ GDP) (inverse) 44% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per $ GDP) (inverse) 44% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) 44% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage (per capita) 42% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per capita) (inverse) 40% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (inverse) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage (per capita) 40% [plot | correlate | graph]
...and  Crime > State and Federal prisoners held in private facilities (per capita) (inverse) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage (per capita) 40% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (inverse) 39% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (inverse) 39% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Insurance carriers and related activities (inverse) 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per capita) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per capita) 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal military (per capita) (inverse) 38% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll (per capita) 38% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal military (per capita) (inverse) 38% [plot | correlate | graph]
...and  Industry > Miscellaneous manufacturing > Production workers wages 37% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian (per capita) (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian (per capita) (inverse) 37% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Miscellaneous manufacturing 36% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Fabricated metal product manufacturing (inverse) 35% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > American Indian / Alaska Native (per capita) (inverse) 35% [plot | correlate | graph]
...and  Health > Occupational Fatality Rate (inverse) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Federal civilian (per $ GDP) (inverse) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Federal civilian (per $ GDP) (inverse) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Miscellaneous manufacturing 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Miscellaneous manufacturing 35% [plot | correlate | graph]
...and  Military > Army Recruits: Percent Native American (inverse) 35% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > American Indian / Alaska Native (per capita) (inverse) 34% [plot | correlate | graph]
...and  Military > DOD Active Military > Salaries & Wages (per $ GDP) (inverse) 34% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Federal Revenue- Subtotal (per $ GDP) (inverse) 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 33% [plot | correlate | graph]
...and  Health > High cholesterol 33% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Management of companies and enterprises (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Management of companies and enterprises (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 32% [plot | correlate | graph]
...and  Health > % Point Change in Medicaid (inverse) 32% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 32% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Support activities for mining (per $ GDP) (inverse) 31% [plot | correlate | graph]
...and  Industry > Miscellaneous manufacturing > Value added 31% [plot | correlate | graph]
Average: 37%

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: Percent of Civilian Employed People 16 Years and Over Who Were Private Wage and Salary Workers, 2004

SOURCE: American Community Survey 2004

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