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Correlations > Industry Statistics > Chemical manufacturing > Value added (per $ GDP)

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

Correlations between Industry > Chemical manufacturing > Value added (per $ GDP) ...

Variable Strength
...and  Industry > Chemical manufacturing > Total value of shipments (per $ GDP) 91% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total capital expenditures (per $ GDP) 71% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials (per $ GDP) 68% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per capita) 64% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per $ GDP) 61% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per $ GDP) 61% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Annual payroll (per $ GDP) 59% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Production workers wages (per $ GDP) 55% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Chemical manufacturing (per capita) 54% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Chemical manufacturing (per capita) 54% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers hours (per capita) 53% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Production workers (average per year) (per capita) 50% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total cost of materials 46% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per capita) 43% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages (per $ GDP) 42% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Chemical manufacturing (per $ GDP) 42% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll (per $ GDP) 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Chemical manufacturing (per capita) 41% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours (per capita) 40% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees (per capita) 38% [plot | correlate | graph]
...and  Industry > Chemical manufacturing > Total value of shipments 34% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) (per capita) 33% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Number of employees (per capita) (inverse) 33% [plot | correlate | graph]
...and  Economy > Personal income (per $ GDP) (inverse) 32% [plot | correlate | graph]
...and  Health > Admissions 32% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers hours 31% [plot | correlate | graph]
...and  Health > Retail Rx Drugs Per Capita 31% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) 31% [plot | correlate | graph]
...and  Health > Inpatient Days 30% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total cost of materials (per $ GDP) 30% [plot | correlate | graph]
...and  Health > Short-Stay Hospitals 29% [plot | correlate | graph]
...and  Labor > Chemical manufacturing > Number of employees (per capita) 29% [plot | correlate | graph]
...and  Health > Infant Death Rate 28% [plot | correlate | graph]
...and  Industry > Textile mills > Production workers wages 28% [plot | correlate | graph]
...and  Health > Percent of Women with High Blood Pressure 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Real estate (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Real estate (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 26% [plot | correlate | graph]
...and  Health > Births of Low Birthweight as a % of Births 26% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) (inverse) 25% [plot | correlate | graph]
...and  Energy > Total Energy Consumption (per capita) 25% [plot | correlate | graph]
...and  Industry > Total Manufacturing > Total value of shipments (per $ GDP) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Construction (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per capita) (inverse) 24% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages (per $ GDP) (inverse) 24% [plot | correlate | graph]
...and  Health > Obesity Rate 24% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll (per $ GDP) (inverse) 23% [plot | correlate | graph]
...and  Health > Gonorrhea Rate 23% [plot | correlate | graph]
...and  Health > Diabetes Death Rate per 100,000 23% [plot | correlate | graph]
Average: 38%

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 measure of manufacturing activity is derived by subtracting the cost of materials, supplies, containers, fuel, purchased electricity, and contract work from the value of shipments (products manufactured plus receipts for services rendered). The result of this calculation is adjusted by the addition of value added by merchandising operations (i.e., the difference between the sales value and the cost of merchandise sold without further manufacture, processing, or assembly) plus the net change in finished goods and work-in-process between the beginning- and end-of-year inventories. Per $ GDP figures expressed per 1,000 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

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