StateMaster - Correlations > Industry > Total Manufacturing

	Variable	Strength
...and	Industry > Total Manufacturing > Total value of shipments (per $ GDP)	95%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Value added (per $ GDP)	71%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Production workers wages (per $ GDP)	68%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Total capital expenditures (per $ GDP)	66%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Annual payroll (per $ GDP)	53%	[plot \| correlate \| graph]
...and	Health > Obesity Rate	50%	[plot \| correlate \| graph]
...and	Health > Overweight and Obesity Rate	48%	[plot \| correlate \| graph]
...and	Labor > Total Manufacturing > Production workers (average per year) (per capita)	48%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Real estate (per capita) (inverse)	47%	[plot \| correlate \| graph]
...and	Housing > Median Monthly Housing Costs for Renter-occupied Housing Units (inverse)	47%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Real estate (per capita) (inverse)	46%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Real estate (per capita) (inverse)	46%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP)	46%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total value of shipments (per $ GDP)	45%	[plot \| correlate \| graph]
...and	Labor > Percent of Civilian Employed People in the Manufacturing Industry	45%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers (average per year) (per capita)	45%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total cost of materials (per $ GDP)	45%	[plot \| correlate \| graph]
...and	Health > Retail Rx Drugs Per Capita	44%	[plot \| correlate \| graph]
...and	Housing > Median Monthly Housing Costs for Owner-occupied Housing Units With a Mortgage (inverse)	43%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Truck transportation (per $ GDP)	43%	[plot \| correlate \| graph]
...and	Labor > Transportation equipment manufacturing > Production workers hours (per capita)	43%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Truck transportation (per $ GDP)	43%	[plot \| correlate \| graph]
...and	Housing > Median Housing Value of Owner-Occupied Housing Units (inverse)	43%	[plot \| correlate \| graph]
...and	Labor > Total Manufacturing > Production workers hours (per capita)	42%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Production workers wages (per $ GDP)	42%	[plot \| correlate \| graph]
...and	Labor > Total Manufacturing > Number of employees (per capita)	42%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Nonmetallic mineral product manufacturing (per $ GDP)	42%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Nonmetallic mineral product manufacturing (per $ GDP)	42%	[plot \| correlate \| graph]
...and	Health > Fruits and vegetables consumption (inverse)	41%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Total cost of materials (per $ GDP)	41%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Value added (per $ GDP)	41%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Number of employees (per capita)	41%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Total value of shipments (per $ GDP)	41%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Annual payroll (per $ GDP)	41%	[plot \| correlate \| graph]
...and	People > Percent of People Who are Foreign Born (inverse)	40%	[plot \| correlate \| graph]
...and	Economy > Personal income (per capita) (inverse)	40%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Plastics and rubber products manufacturing (per $ GDP)	40%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Plastics and rubber products manufacturing (per $ GDP)	39%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Truck transportation (per $ GDP)	39%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total value of shipments (per $ GDP)	39%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP)	38%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP)	38%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Production workers wages (per $ GDP)	38%	[plot \| correlate \| graph]
...and	Housing > Percent of Mortgaged Owners Spending 30% or More of Household Income on Selected Monthly Owner Costs (inverse)	38%	[plot \| correlate \| graph]
...and	Industry > Fabricated metal product manufacturing > Total capital expenditures (per $ GDP)	38%	[plot \| correlate \| graph]
...and	Economy > Median Earnings for Female Full-Time, Year-Round Workers (inverse)	37%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Production workers wages (per $ GDP)	37%	[plot \| correlate \| graph]
...and	Industry > Transportation equipment manufacturing > Total capital expenditures (per $ GDP)	37%	[plot \| correlate \| graph]
...and	Industry > Total Manufacturing > Annual payroll (per capita)	36%	[plot \| correlate \| graph]
...and	Education > Percent of People Who Have Completed a Bachelor's Degree (inverse)	36%	[plot \| correlate \| graph]
	Average:	45%

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.

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Detailed correlation information
Map & Graph: states ranked

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 term refers to direct charges actually paid or payable for items consumed or put into production during the year, including freight charges and other direct charges incurred by the establishment in acquiring these materials. It includes the cost of materials or fuel consumed, whether purchased by the individual establishment from other companies, transferred to it from other establishments of the same company, or withdrawn from inventory during the year. Per $ GDP figures expressed per 100 $ gross domestic product.

SOURCE: Annual Survey of Manufactures, 2004

Correlations > Industry Statistics > Total Manufacturing > Total cost of materials (per $ GDP)

Correlations between Industry > Total Manufacturing > Total cost of materials (per $ GDP) ...

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