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Correlations > Economy Statistics > GSP > Nominal GSP > Paper manufacturing (per capita)

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

Correlations between Economy > GSP > Nominal GSP > Paper manufacturing (per capita) ...

Variable Strength
...and  Economy > GSP > Real GSP > Paper manufacturing (per capita) 100% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing (per $ GDP) 96% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP) 96% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added (per $ GDP) 90% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita) 90% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP) 89% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments (per $ GDP) 87% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total cost of materials (per $ GDP) 82% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Production workers hours (per capita) 78% [plot | correlate | graph]
...and  Labor > Paper manufacturing > Number of employees (per capita) 74% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures (per $ GDP) 71% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages (per $ GDP) 71% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Value added (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) 52% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (per $ GDP) 52% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) 50% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) (per capita) 48% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours (per capita) 48% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total cost of materials (per $ GDP) 48% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Paper manufacturing 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Paper manufacturing 39% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) 39% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Annual payroll (per $ GDP) 38% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total capital expenditures 37% [plot | correlate | graph]
...and  Industry > Wood product manufacturing > Annual payroll (per capita) 36% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Production workers wages 33% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP) 32% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (per capita) 32% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Paper manufacturing 31% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (per capita) 30% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures (per $ GDP) 29% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per capita) 29% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP) 28% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Value added 27% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Paper manufacturing 27% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Paper manufacturing > Total value of shipments 25% [plot | correlate | graph]
...and  Industry > Textile product mills > Total capital expenditures (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Electrical equipment and appliance manufacturing (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Electrical equipment and appliance manufacturing (per $ GDP) 25% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 24% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Production workers wages (per $ GDP) 24% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per capita) 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per capita) 23% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Annual payroll (per $ GDP) 23% [plot | correlate | graph]
Average: 46%

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: Paper manufacturing, Nominal GSP (current dollars) GSP, or Gross State Product is the value of all the goods and services produced in a state. Specific industries measured will give the value of all goods and services in that industry. The Nominal Gross State Product measures the value of all the goods and services produced expressed in current prices. On the other hand, Real Gross State Product measures the value of all the goods and services produced expressed in the prices of some base year. 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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