FACTOID # 2: Wisconsin has more metal fabricators per capita than any other state.
 
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Correlations > Labor Statistics > Leather & allied product manufacturing > Production workers hours (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

Correlations between Labor > Leather & allied product manufacturing > Production workers hours (per capita) ...

Variable Strength
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 100% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 98% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 95% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 95% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per $ GDP) 92% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 91% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per capita) 87% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 83% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 81% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 81% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per $ GDP) 81% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 80% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per $ GDP) 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per $ GDP) 79% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Public (per capita) 79% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per capita) 76% [plot | correlate | graph]
...and  Industry > Textile product mills > Production workers wages (per $ GDP) 75% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Native American 71% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per capita) 70% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per capita) 70% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per $ GDP) 69% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per $ GDP) 67% [plot | correlate | graph]
...and  Energy > Renewables Share of Total Energy 66% [plot | correlate | graph]
...and  People > Percent of People 5 to 20 Years Old With a Disability 65% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures (per $ GDP) 65% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added (per $ GDP) 63% [plot | correlate | graph]
...and  Energy > State Energy Program and Special Projects- Expenditures (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments (per $ GDP) 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP) 60% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per $ GDP) 60% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Textile product mills > Total cost of materials (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 56% [plot | correlate | graph]
...and  Health > SSDI Beneficiaries as % of Population 56% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per capita) 54% [plot | correlate | graph]
...and  Education > Public Libraries > Number of Central Libraries (per capita) 54% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per capita) 52% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Other services, except government (per capita) (inverse) 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Other services, except government (per capita) (inverse) 51% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > White (inverse) 50% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- White, non-Hispanic (inverse) 50% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per $ GDP) 50% [plot | correlate | graph]
...and  Industry > Textile product mills > Annual payroll (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages (per $ GDP) 49% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per capita) 48% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per capita) 48% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 48% [plot | correlate | graph]
...and  Military > DOD Inactive Military Employees > Salaries & Wages (per $ GDP) 47% [plot | correlate | graph]
...and  Industry > Textile product mills > Total value of shipments (per $ GDP) 46% [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 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. Per capita figures expressed per 1 population.

SOURCE: Annual Survey of Manufactures, 2004

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