StateMaster - Correlations > Economy > GSP > Nominal GSP > Computer and electronic product manufacturing (per capita)

	Variable	Strength
...and	Economy > GSP > Real GSP > Computer and electronic product manufacturing (per capita)	100%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Computer and electronic product manufacturing (per $ GDP)	97%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Computer and electronic product manufacturing (per $ GDP)	97%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Value added (per $ GDP)	78%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total value of shipments (per $ GDP)	75%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per capita)	72%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing (per $ GDP)	68%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total capital expenditures (per $ GDP)	57%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Annual payroll (per $ GDP)	57%	[plot \| correlate \| graph]
...and	Labor > Computer & electronic product manufacturing > Number of employees (per capita)	56%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing	54%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Annual payroll (per capita)	48%	[plot \| correlate \| graph]
...and	Labor > Computer & electronic product manufacturing > Production workers hours (per capita)	43%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Production workers wages (per $ GDP)	42%	[plot \| correlate \| graph]
...and	Labor > Computer & electronic product manufacturing > Production workers (average per year) (per capita)	40%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Value added (inverse)	37%	[plot \| correlate \| graph]
...and	Industry > Leather & allied product manufacturing > Annual payroll	34%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Machinery manufacturing (inverse)	31%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Value added	29%	[plot \| correlate \| graph]
...and	Health > Percent of Women with High Blood Pressure (inverse)	28%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Computer and electronic product manufacturing	28%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Computer and electronic product manufacturing	28%	[plot \| correlate \| graph]
...and	Health > Infant Death Rate (inverse)	27%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total cost of materials (per $ GDP)	26%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers (average per year)	26%	[plot \| correlate \| graph]
...and	Health > Heart Disease Death Rate per 100,000 (inverse)	26%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Degrees Awarded > Race / Ethnicity Unknown (per capita)	25%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Number of employees	24%	[plot \| correlate \| graph]
...and	Education > Postsecondary > Total Fall Enrollment > Race / Ethnicity Unknown (per capita)	24%	[plot \| correlate \| graph]
...and	Health > Admissions (inverse)	23%	[plot \| correlate \| graph]
...and	Health > Death Rate per 100,000 (inverse)	23%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > LEP/ELL Students (per capita)	23%	[plot \| correlate \| graph]
...and	Health > Gonorrhea Rate (inverse)	22%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Production workers hours	22%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Production workers wages	21%	[plot \| correlate \| graph]
...and	Industry > Computer & electronic product manufacturing > Total capital expenditures	21%	[plot \| correlate \| graph]
...and	Industry > Petroleum & coal products manufacturing > Annual payroll	21%	[plot \| correlate \| graph]
...and	Health > Short-Stay Hospitals (inverse)	21%	[plot \| correlate \| graph]
...and	Health > High blood pressure (inverse)	20%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Computer systems design and related services (inverse)	20%	[plot \| correlate \| graph]
...and	Health > Births of Low Birthweight as a % of Births (inverse)	20%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Electrical equipment and appliance manufacturing (inverse)	20%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > Total Students- American Indian/Alaskan	19%	[plot \| correlate \| graph]
...and	Energy > Hydroelectric Energy Consumption	19%	[plot \| correlate \| graph]
...and	Energy > Photovoltaic & Solar Thermal Energy Consumption (per $ GDP)	19%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary > Total Students- Hispanic (per capita)	19%	[plot \| correlate \| graph]
...and	Health > Preterm Births as a % of Births (inverse)	19%	[plot \| correlate \| graph]
...and	Industry > Plastics & rubber products manufacturing > Total cost of materials (per $ GDP) (inverse)	19%	[plot \| correlate \| graph]
...and	Energy > Photovoltaic & Solar Thermal Energy Consumption (per capita)	19%	[plot \| correlate \| graph]
...and	People > Percent of People Who are Some Other Race Alone	18%	[plot \| correlate \| graph]
	Average:	36%

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: Computer and electronic product 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 > Computer and electronic product manufacturing (per capita)

Correlations between Economy > GSP > Nominal GSP > Computer and electronic product manufacturing (per capita) ...

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