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Correlations > Labor Statistics > Transportation equipment manufacturing > Production workers (average per year) (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Transportation equipment manufacturing > Production workers (average per year) (per capita) ...

Variable Strength
...and  Crime > State and Federal prisoners held in local jails (per capita) 33% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 30% [plot | correlate | graph]
...and  Health > HMO Enrollment Growth (inverse) 27% [plot | correlate | graph]
...and  Labor > Transportation equipment manufacturing > Production workers (average per year) 26% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal civilian (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Federal civilian (per capita) 23% [plot | correlate | graph]
...and  Health > Smokeless tobacco users 22% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita) 22% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP) 22% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 22% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP) 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per $ GDP) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per capita) 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per capita) 21% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Securities, commodity contracts, investments 21% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 20% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 20% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 20% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 20% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 20% [plot | correlate | graph]
...and  Health > Tobacco use > Everyday smokers 20% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 20% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments (per $ GDP) 19% [plot | correlate | graph]
...and  Health > Percent of Women with Arthritis 19% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction (per capita) (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Construction (per capita) (inverse) 19% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 19% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours (per capita) 18% [plot | correlate | graph]
...and  Education > Public Libraries > Reference Transactions per Capita (inverse) 18% [plot | correlate | graph]
...and  Lifestyle > Percent of Men Who Never Married (inverse) 18% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP) 18% [plot | correlate | graph]
...and  Health > Oral health > Loss of natural teeth 18% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (per $ GDP) 18% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 18% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per $ GDP) 18% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per $ GDP) 18% [plot | correlate | graph]
...and  People > Percent of People Who Speak a Language Other Than English At Home (inverse) 18% [plot | correlate | graph]
...and  Health > High blood pressure 17% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) 17% [plot | correlate | graph]
...and  Health > Obesity Rate 17% [plot | correlate | graph]
...and  Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP) 17% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other transportation and support activities (per $ GDP) 17% [plot | correlate | graph]
...and  Health > Cancer Death Rate per 100,000 17% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other transportation and support activities (per $ GDP) 17% [plot | correlate | graph]
...and  Health > Blind & Disabled SSI as % of Population 16% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Primary metal manufacturing (per capita) 16% [plot | correlate | graph]
...and  Health > Death Rate per 100,000 16% [plot | correlate | graph]
...and  Health > Stroke Death Rate per 100,000 16% [plot | correlate | graph]
Average: 20%

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. Per capita figures expressed per 1,000 population.

SOURCE: Annual Survey of Manufactures, 2004

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