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Correlations > Labor Statistics > Wood product manufacturing > Number of employees (per capita)

VIEW DATA:   Totals   Per capita  
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Showing latest available data.

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

Variable Strength
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) 64% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 64% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) (per capita) 62% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments (per $ GDP) 60% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added (per $ GDP) 60% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per capita) 59% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per $ GDP) 58% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) 53% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) 53% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages (per $ GDP) 52% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours (per capita) 52% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per $ GDP) 49% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 40% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per capita) 35% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per $ GDP) 34% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per capita) 33% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per capita) 33% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per capita) 32% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 31% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per $ GDP) 30% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials 29% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments 29% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (inverse) 29% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added 29% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per capita) 28% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees 25% [plot | correlate | graph]
...and  Health > Disability prevalence 23% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages 21% [plot | correlate | graph]
...and  Labor > Primary metal manufacturing > Number of employees (per capita) 21% [plot | correlate | graph]
...and  Health > Physician and Supplier Services 20% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per $ GDP) 20% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing 19% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing 19% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) 19% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing 18% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 18% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Wood product manufacturing 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per $ GDP) 18% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per capita) 18% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per $ GDP) 18% [plot | correlate | graph]
...and  Military > Cost of Nuclear Weapons (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Military > Cost of the Military (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per capita) 17% [plot | correlate | graph]
...and  Energy > Renewables Share of Total Energy 17% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 17% [plot | correlate | graph]
Average: 33%

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 10,000 population.

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