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 > Fabricated metal product manufacturing > Number of employees (per capita)

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.
VIEW DATA:   Totals   Per capita  
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Showing latest available data.

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

Variable Strength
...and  Industry > Fabricated metal product manufacturing > Value added (per $ GDP) 78% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per $ GDP) 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per $ GDP) 75% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total value of shipments (per $ GDP) 70% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Fabricated metal product manufacturing (per capita) 68% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Fabricated metal product manufacturing (per capita) 68% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll (per $ GDP) 67% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Production workers wages (per $ GDP) 63% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per capita) 62% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) (per capita) 62% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Fabricated metal product manufacturing (per $ GDP) 61% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per capita) 59% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Annual payroll (per capita) 58% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per capita) 58% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP) 56% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) 55% [plot | correlate | graph]
...and  Labor > Percent of Civilian Employed People in the Manufacturing Industry 54% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (per capita) 51% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities (per $ GDP) 50% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Printing and related support activities (per $ GDP) 50% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Production workers (average per year) (per capita) 49% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Number of employees (per capita) 49% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added (per $ GDP) 48% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) (per capita) 46% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per capita) 42% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Printing and related support activities (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per capita) 41% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Printing and related support activities (per capita) 41% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per capita) 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments (per $ GDP) 40% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees (per capita) 40% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Value added (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per capita) 39% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per capita) 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Printing and related support activities (per $ GDP) 39% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Value added (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Value added (per $ GDP) 38% [plot | correlate | graph]
Average: 51%

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

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