StateMaster - Correlations > Industry > Paper manufacturing

	Variable	Strength
...and	Industry > Paper manufacturing > Total value of shipments (per $ GDP)	98%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Paper manufacturing (per $ GDP)	96%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Paper manufacturing (per $ GDP)	96%	[plot \| correlate \| graph]
...and	Industry > Paper manufacturing > Total cost of materials (per $ GDP)	94%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Paper manufacturing (per capita)	90%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Paper manufacturing (per capita)	90%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Paper manufacturing (per $ GDP)	88%	[plot \| correlate \| graph]
...and	Industry > Paper manufacturing > Total capital expenditures (per $ GDP)	86%	[plot \| correlate \| graph]
...and	Industry > Paper manufacturing > Production workers wages (per $ GDP)	83%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Paper manufacturing (per capita)	80%	[plot \| correlate \| graph]
...and	Labor > Paper manufacturing > Production workers hours (per capita)	76%	[plot \| correlate \| graph]
...and	Labor > Paper manufacturing > Number of employees (per capita)	69%	[plot \| correlate \| graph]
...and	Industry > Wood product manufacturing > Annual payroll (per capita)	46%	[plot \| correlate \| graph]
...and	Industry > Paper manufacturing > Annual payroll (per $ GDP)	44%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Number of employees (per capita)	42%	[plot \| correlate \| graph]
...and	Industry > Wood product manufacturing > Total cost of materials (per $ GDP)	38%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Total cost of materials (per $ GDP)	37%	[plot \| correlate \| graph]
...and	Health > SSDI Beneficiaries as % of Population	36%	[plot \| correlate \| graph]
...and	Industry > Wood product manufacturing > Total capital expenditures (per $ GDP)	35%	[plot \| correlate \| graph]
...and	Industry > Wood product manufacturing > Annual payroll (per $ GDP)	35%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Production workers wages (per $ GDP)	34%	[plot \| correlate \| graph]
...and	Industry > Paper manufacturing > Total capital expenditures	34%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Wood product manufacturing (per capita)	33%	[plot \| correlate \| graph]
...and	Industry > Wood product manufacturing > Value added (per $ GDP)	33%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Wood product manufacturing (per capita)	33%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Total capital expenditures (per $ GDP)	32%	[plot \| correlate \| graph]
...and	Energy > Total Renewable Energy Consumption (per $ GDP)	32%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP)	31%	[plot \| correlate \| graph]
...and	Labor > Percent of Civilian Employed People in Management, Business and Financial Occupations (inverse)	31%	[plot \| correlate \| graph]
...and	Industry > Electrical equipment, appliance, & component manufacturing > Total value of shipments (per $ GDP)	30%	[plot \| correlate \| graph]
...and	Labor > Wood product manufacturing > Production workers (average per year) (per capita)	30%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Administrative and support services (per capita) (inverse)	30%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Administrative and support services (per capita) (inverse)	30%	[plot \| correlate \| graph]
...and	People > Percent of People 21 to 64 Years Old With a Disability	30%	[plot \| correlate \| graph]
...and	People > Percent of People Who are Foreign Born (inverse)	28%	[plot \| correlate \| graph]
...and	Education > Public Libraries > Electronic Materials Expenditures (per capita) (inverse)	28%	[plot \| correlate \| graph]
...and	Industry > Wood product manufacturing > Production workers wages (per $ GDP)	27%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Total Fall Enrollment > Nonresident Alien (per capita) (inverse)	27%	[plot \| correlate \| graph]
...and	Energy > Total Renewable Energy Consumption (per capita)	27%	[plot \| correlate \| graph]
...and	Industry > Textile product mills > Production workers wages (per $ GDP)	27%	[plot \| correlate \| graph]
...and	Industry > Wood product manufacturing > Total value of shipments (per $ GDP)	26%	[plot \| correlate \| graph]
...and	People > Percent of People Who Speak a Language Other Than English At Home (inverse)	26%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Wood product manufacturing (per $ GDP)	26%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Wood product manufacturing (per $ GDP)	26%	[plot \| correlate \| graph]
...and	Labor > Electrical equipment, appliance, & component manufacturing > Production workers hours (per capita)	26%	[plot \| correlate \| graph]
...and	People > Percent of People 5 to 20 Years Old With a Disability	26%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Plastics and rubber products manufacturing (per $ GDP)	25%	[plot \| correlate \| graph]
...and	People > Percent of People Who Speak English Less Than "Very Well" (inverse)	25%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Degrees Awarded > Hispanic (per capita) (inverse)	25%	[plot \| correlate \| graph]
...and	Labor > Wood product manufacturing > Production workers hours (per capita)	25%	[plot \| correlate \| graph]
	Average:	44%

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 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

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

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

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