FACTOID # 3: 73.3% of America's gross operating surplus in motion picture and sound recording industries comes from California.
 
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Correlations > Economy Statistics > GSP > Compensation of Employees > Truck transportation

DEFINITION: Truck transportation, Compensation of Employees (current dollars) Compensation of Employees is a statisical term which refers to the total gross (pre-tax) wages paid by employers to employeesfor work done in an accounting period, such as a quarter or a year. It represents roughly the total labor cost to an employer.
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Correlations between Economy > GSP > Compensation of Employees > Truck transportation ...

Variable Strength
...and  Economy > GSP > Real GSP > Truck transportation 99% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Truck transportation 99% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Truck transportation 96% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added 91% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added 90% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 89% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added 89% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Annual payroll 88% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours 88% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total capital expenditures 88% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Production workers wages 88% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total value of shipments 87% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Nonmetallic mineral product manufacturing 86% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing 86% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing 86% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food product manufacturing 86% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Total cost of materials 86% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees 86% [plot | correlate | graph]
...and  Health > Number of Nursing Homes 85% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages 85% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Number of employees 84% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 84% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers (average per year) 83% [plot | correlate | graph]
...and  Health > Number of Infant Deaths 83% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll 82% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic 82% [plot | correlate | graph]
...and  Health > Total State Health Care Spending 82% [plot | correlate | graph]
...and  Labor > Nonmetallic mineral product manufacturing > Production workers hours 82% [plot | correlate | graph]
...and  Energy > Total Energy Consumption 82% [plot | correlate | graph]
...and  Health > Total Hospitals 81% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Warehousing and storage 81% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Warehousing and storage 81% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Warehousing and storage 81% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > White 81% [plot | correlate | graph]
...and  Industry > Food manufacturing > Annual payroll 80% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total cost of materials 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing 80% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing 80% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Individualized Education Program 80% [plot | correlate | graph]
...and  Health > Total Medicaid Spending, FY2004 80% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Public Internet Terminals 80% [plot | correlate | graph]
...and  Health > Total Retail Rx Drugs 80% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments 80% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Fabricated metal product manufacturing 79% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Printing and related support activities 79% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total value of shipments 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Printing and related support activities 79% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities 79% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing 79% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Teachers 79% [plot | correlate | graph]
Average: 84%

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.

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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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