FACTOID # 1: South Dakota has the highest employment ratio in America, but the lowest median earnings of full-time male employees.
 
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Correlations > Labor Statistics > Primary metal manufacturing > Number of employees (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Primary metal manufacturing > Number of employees (per capita) ...

Variable Strength
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per capita) 85% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per capita) 85% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Primary metal manufacturing (per $ GDP) 84% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Primary metal manufacturing (per $ GDP) 84% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per capita) 61% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total capital expenditures (per $ GDP) 45% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers hours (per capita) 45% [plot | correlate | graph]
...and  Health > Percent of Women with Arthritis 44% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Production workers wages (per $ GDP) 41% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (per $ GDP) 40% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees 40% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Value added (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total value of shipments (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 37% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Total cost of materials (per $ GDP) 37% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours (per capita) 36% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 35% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per $ GDP) 35% [plot | correlate | graph]
...and  Health > Tobacco use > Everyday smokers 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing (per $ GDP) 34% [plot | correlate | graph]
...and  Health > Medicare Enrollment as a % of Total Pop 33% [plot | correlate | graph]
...and  People > Percent of People Who are Foreign Born (inverse) 33% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Publishing including software 33% [plot | correlate | graph]
...and  People > Percent of People Who Speak a Language Other Than English At Home (inverse) 32% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent White 32% [plot | correlate | graph]
...and  People > Percent of People Who Speak English Less Than "Very Well" (inverse) 32% [plot | correlate | graph]
...and  People > Percent of People Who are White Alone, Not Hispanic or Latino 32% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 32% [plot | correlate | graph]
...and  People > Percent of People 21 to 64 Years Old With a Disability 32% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Nonmetallic mineral product manufacturing > Value added (per $ GDP) 31% [plot | correlate | graph]
...and  Housing > Median Monthly Housing Costs for Renter-occupied Housing Units (inverse) 31% [plot | correlate | graph]
...and  Industry > Primary metal manufacturing > Annual payroll (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Administrative and support services (per capita) (inverse) 30% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Administrative and support services (per capita) (inverse) 29% [plot | correlate | graph]
...and  Energy > Electric Power Industry Emissions > CO2 (per capita) 29% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) 29% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 28% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 28% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll (per $ GDP) 28% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Ambulatory health care services (per $ GDP) 28% [plot | correlate | graph]
...and  People > Percent of People Who Speak Spanish at Home (inverse) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Ambulatory health care services (per $ GDP) 27% [plot | correlate | graph]
Average: 39%

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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