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StateMaster - Correlations > Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per capita)
 

Correlations > Economy Statistics > GSP > Gross Operating Surplus > Machinery manufacturing (per capita)


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Correlations between Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per capita) ...

Variable Strength
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing (per $ GDP) 97% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per capita) 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per capita) 79% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Machinery manufacturing (per $ GDP) 75% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Machinery manufacturing (per $ GDP) 75% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials (per $ GDP) 54% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total value of shipments (per $ GDP) 53% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers hours (per capita) 47% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Production workers wages (per $ GDP) 46% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Value added (per $ GDP) 46% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Insurance carriers and related activities (per $ GDP) 42% [plot | correlate | graph]
...and  Health > Nursing Home Residents as % of 65+ Pop 38% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Insurance carriers and related activities (per capita) 38% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Production workers (average per year) (per capita) 37% [plot | correlate | graph]
...and  Labor > Machinery manufacturing > Number of employees (per capita) 36% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Machinery manufacturing 36% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total capital expenditures (per $ GDP) 35% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Insurance carriers and related activities (per $ GDP) 33% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Insurance carriers and related activities (per $ GDP) 33% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total value of shipments (per $ GDP) 31% [plot | correlate | graph]
...and  Industry > Food manufacturing > Total cost of materials (per $ GDP) 30% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Number of employees (per capita) 29% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per capita) 29% [plot | correlate | graph]
...and  Energy > Ethanol Consumption (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Insurance carriers and related activities (per capita) 27% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Insurance carriers and related activities (per capita) 27% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Annual payroll (per $ GDP) 26% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per capita) 25% [plot | correlate | graph]
...and  Labor > Electrical equipment, appliance, & component manufacturing > Production workers (average per year) (per capita) 25% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing (per capita) 24% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Annual payroll (per capita) 23% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Real estate (per $ GDP) (inverse) 23% [plot | correlate | graph]
...and  Industry > Plastics & rubber products manufacturing > Total capital expenditures (per $ GDP) 23% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Other services, except government (inverse) 23% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Number of employees (per capita) 22% [plot | correlate | graph]
...and  Industry > Food manufacturing > Value added (per $ GDP) 21% [plot | correlate | graph]
...and  Health > Duals Spending as a % of Medicaid 21% [plot | correlate | graph]
...and  Labor > Plastics & rubber products manufacturing > Production workers (average per year) (per capita) 20% [plot | correlate | graph]
...and  Industry > Fabricated metal product manufacturing > Total capital expenditures (per $ GDP) 20% [plot | correlate | graph]
...and  Labor > Total Manufacturing > Production workers hours (per capita) 20% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Nonmetallic mineral product manufacturing (per $ GDP) 20% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Real estate (inverse) 20% [plot | correlate | graph]
...and  Crime > Arson deaths 20% [plot | correlate | graph]
...and  Industry > Machinery manufacturing > Total cost of materials 19% [plot | correlate | graph]
...and  Labor > Fabricated metal product manufacturing > Production workers (average per year) (per capita) 19% [plot | correlate | graph]
...and  Industry > Printing & related support activities > Total capital expenditures (per $ GDP) 19% [plot | correlate | graph]
...and  Economy > GSP > Chain-type Quantity Indexes > Wood product manufacturing 19% [plot | correlate | graph]
...and  Education > Elementary & Secondary Finance > Non-Instructional Expend.- Subtotal (per capita) 19% [plot | correlate | graph]
...and  Military > Navy Recruits: Percent Female (inverse) 18% [plot | correlate | graph]
...and  Industry > Electrical equipment, appliance, & component manufacturing > Annual payroll (per $ GDP) 18% [plot | correlate | graph]
Average: 34%

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: Machinery manufacturing, Gross Operating Surplus (current dollars) Per capita figures expressed per 1 population.

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