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Correlations > Labor Statistics > Petroleum & coal products manufacturing > Production workers hours

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Petroleum & coal products manufacturing > Production workers hours ...

Variable Strength
...and  Industry > Petroleum & coal products manufacturing > Production workers wages 97% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll 95% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials 91% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments 90% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees 88% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) 87% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 82% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Petroleum and coal products manufacturing 81% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students 72% [plot | correlate | graph]
...and  Geography > Land area 68% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Oil and gas extraction 67% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Oil and gas extraction 67% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Oil and gas extraction 67% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing 66% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing 66% [plot | correlate | graph]
...and  Military > Defense Contracts- Expenditures 65% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Funds, trusts, and other financial vehicles 64% [plot | correlate | graph]
...and  Geography > Total area 64% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 64% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita) 64% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita) 63% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Pipeline transportation 62% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials 61% [plot | correlate | graph]
...and  Military > Department of Defense > Procurement and All Salaries 60% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added (per $ GDP) 60% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation 59% [plot | correlate | graph]
...and  Health > Total Hospitals 59% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic 58% [plot | correlate | graph]
...and  Energy > Natural Gas Consumption 58% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation 58% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP) 54% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total cost of materials 53% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per capita) 53% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic (per capita) 53% [plot | correlate | graph]
...and  People > Total Hispanic Population 53% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Free Lunch Eligible 52% [plot | correlate | graph]
...and  Crime > State and Federal prisoners held in local jails 52% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Oil and gas extraction 51% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Staff 51% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total capital expenditures 51% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Other transportation equipment manufacturing 50% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments 50% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Funds, trusts, and other financial vehicles 50% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages 49% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Pipeline transportation (per capita) 48% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Securities, commodity contracts, investments 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Pipeline transportation (per capita) 48% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students (per capita) 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer and electronic product manufacturing 47% [plot | correlate | graph]
Average: 62%

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



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.

SOURCE: Annual Survey of Manufactures, 2004

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