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Correlations > Labor Statistics > Petroleum & coal products manufacturing > Number of employees

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Petroleum & coal products manufacturing > Number of employees ...

Variable Strength
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) 97% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll 94% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages 93% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials 89% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments 88% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours 88% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Petroleum and coal products manufacturing 88% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing 87% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing 87% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 80% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption 78% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students 72% [plot | correlate | graph]
...and  Geography > Land area 71% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita) 70% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita) 70% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic 69% [plot | correlate | graph]
...and  Geography > Total area 69% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Funds, trusts, and other financial vehicles 68% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 68% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic (per capita) 67% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 67% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing 66% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction 66% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction 65% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction 65% [plot | correlate | graph]
...and  Health > Total Hospitals 64% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per capita) 63% [plot | correlate | graph]
...and  People > Total Hispanic Population 63% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Securities, commodity contracts, investments 63% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures 61% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Free Lunch Eligible 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP) 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP) 59% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic (per capita) 59% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic 59% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries 58% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 58% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages 57% [plot | correlate | graph]
...and  Lifestyle > Average Household Size 56% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total cost of materials 56% [plot | correlate | graph]
...and  People > Percent of People Who Speak Spanish at Home 55% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per $ GDP) 55% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Water transportation 54% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 54% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Pipeline transportation 54% [plot | correlate | graph]
...and  Energy > Oil Consumption 53% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total capital expenditures 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Rental and leasing services and lessors of intangible assets 53% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students (per capita) 53% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Water transportation 52% [plot | correlate | graph]
Average: 67%

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.

SOURCE: Annual Survey of Manufactures, 2004

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