FACTOID # 2: The Carolinas are the textile mill centers of America, coming in first and second in total value of all shipments.
 
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Correlations > Industry Statistics > Computer & electronic product manufacturing > Value added

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Correlations between Industry > Computer & electronic product manufacturing > Value added ...

Variable Strength
...and  Industry > Computer & electronic product manufacturing > Total value of shipments 93% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Computer and electronic product manufacturing 88% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Computer and electronic product manufacturing 88% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total capital expenditures 75% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Computer and electronic product manufacturing 74% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Annual payroll 67% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Total cost of materials 67% [plot | correlate | graph]
...and  Labor > Computer & electronic product manufacturing > Number of employees 65% [plot | correlate | graph]
...and  Industry > Computer & electronic product manufacturing > Production workers wages 62% [plot | correlate | graph]
...and  Labor > Computer & electronic product manufacturing > Production workers hours 62% [plot | correlate | graph]
...and  Labor > Computer & electronic product manufacturing > Production workers (average per year) 57% [plot | correlate | graph]
...and  Education > Elementary & Secondary > LEP/ELL Students 56% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Computer and electronic product manufacturing 52% [plot | correlate | graph]
...and  People > Total Hispanic Population 51% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students- Hispanic 51% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic 51% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages 49% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) 48% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > Hispanic 48% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll 45% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Hospitals and nursing and residential care facilities 45% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees 45% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Food services and drinking places 43% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials 42% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Administrative and support services 41% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Securities, commodity contracts, investments 41% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Food services and drinking places 40% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Second Grade Students 40% [plot | correlate | graph]
...and  Military > Total Navy Recruits 40% [plot | correlate | graph]
...and  Health > Number of Births 40% [plot | correlate | graph]
...and  Education > Elementary & Secondary > First Grade Students 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Retail trade 40% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Food services and drinking places 40% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Food services and drinking places 40% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Other services, except government 40% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments 40% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Twelfth Grade Students 39% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Wholesale trade 39% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students 39% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Asian / Pacific Islander 39% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eleventh Grade Students 39% [plot | correlate | graph]
...and  Economy > GSP > Compensation of Employees > Construction 39% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Kindergarten Students 39% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Nonresident Alien 39% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Fourth Grade Students 39% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Third Grade Students 39% [plot | correlate | graph]
...and  Education > Postsecondary > Total Fall Enrollment > Hispanic (per capita) 39% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Tenth Grade Students 39% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Construction 39% [plot | correlate | graph]
Average: 49%

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.

SOURCE: Annual Survey of Manufactures, 2004

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