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Correlations > Economy Statistics > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per capita)

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

Correlations between Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per capita) ...

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per $ GDP) 97% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per capita) 93% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per capita) 93% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Forestry, fishing, and related activities (per $ GDP) 92% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Forestry, fishing, and related activities (per $ GDP) 92% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 90% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 87% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 87% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 86% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 84% [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 > Annual payroll (per capita) 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) 79% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per $ GDP) 78% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption (per capita) 77% [plot | correlate | graph]
...and  Energy > Renewables Share of Total Energy 73% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total value of shipments (per $ GDP) 69% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Value added (per $ GDP) 68% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP) 62% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP) 62% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Production workers wages (per $ GDP) 61% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per capita) 61% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 60% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers (average per year) (per capita) 59% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total capital expenditures (per $ GDP) 58% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours (per capita) 55% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Total cost of materials (per $ GDP) 52% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Wood product manufacturing (per capita) 46% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Wood product manufacturing (per capita) 46% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per $ GDP) 40% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Number of employees (per capita) 35% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per $ GDP) 31% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 31% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 31% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per $ GDP) 30% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wood product manufacturing (per capita) 29% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (per $ GDP) 27% [plot | correlate | graph]
...and  Energy > Renewable Hydroelectric Production (per capita) 26% [plot | correlate | graph]
...and  Health > Disability prevalence 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 24% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments (per $ GDP) 24% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption 21% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Administrative and support services (per capita) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Administrative and support services (per capita) (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade (per $ GDP) 21% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Native American 21% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Ambulatory health care services (per $ GDP) 21% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 20% [plot | correlate | graph]
Average: 56%

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: Forestry, fishing, and related activities, Gross Operating Surplus (current dollars) Per capita figures expressed per 1 population.

SOURCE: U.S. Department of Commerce, Bureau of Economic Analysis, Regional Economic Analysis Division. Data for 2003.

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