StateMaster - Correlations > Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita)

	Variable	Strength
...and	Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per capita)	100%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Petroleum and coal products manufacturing (per $ GDP)	92%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per $ GDP)	92%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total cost of materials	74%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per capita)	74%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total value of shipments	73%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Value added	71%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers (average per year)	71%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total capital expenditures	70%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Petroleum and coal products manufacturing (per $ GDP)	70%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Number of employees	70%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Production workers wages	68%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Annual payroll	68%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers hours	63%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Value added (per $ GDP)	61%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total value of shipments (per $ GDP)	56%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total cost of materials (per $ GDP)	53%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Annual payroll (per capita)	52%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Production workers hours	48%	[plot \| correlate \| graph]
...and	Labor > Leather & allied product manufacturing > Production workers (average per year)	46%	[plot \| correlate \| graph]
...and	Energy > Natural Gas Consumption (per capita)	42%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers (average per year) (per capita)	42%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Number of employees (per capita)	42%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Production workers wages (per $ GDP)	42%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Annual payroll (per $ GDP)	41%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Annual payroll	39%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Pipeline transportation (per capita)	37%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Pipeline transportation (per capita)	37%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Production workers wages	35%	[plot \| correlate \| graph]
...and	Energy > Wind Energy Electricity Production	35%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers hours (per capita)	35%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Pipeline transportation (per $ GDP)	31%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Pipeline transportation (per $ GDP)	31%	[plot \| correlate \| graph]
...and	Energy > Natural Gas Consumption (per $ GDP)	30%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Support activities for mining (per capita)	30%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total cost of materials	29%	[plot \| correlate \| graph]
...and	Economy > GSP > Compensation of Employees > Funds, trusts, and other financial vehicles	28%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Oil and gas extraction (per $ GDP)	28%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Oil and gas extraction (per $ GDP)	28%	[plot \| correlate \| graph]
...and	Energy > Total Energy Consumption (per capita)	28%	[plot \| correlate \| graph]
...and	Geography > Land area	28%	[plot \| correlate \| graph]
...and	Crime > State and Federal prisoners held in local jails	28%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per $ GDP)	27%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Oil and gas extraction (per capita)	27%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Oil and gas extraction (per capita)	27%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Rail transportation	27%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Rail transportation	27%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Total capital expenditures (per $ GDP)	26%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Oil and gas extraction (per capita)	25%	[plot \| correlate \| graph]
...and	Geography > Total area	25%	[plot \| correlate \| graph]
	Average:	47%

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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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: Petroleum and coal products 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.

Correlations > Economy Statistics > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita)

Correlations between Economy > GSP > Nominal GSP > Petroleum and coal products manufacturing (per capita) ...

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