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Correlations > Education Statistics > Public Libraries > Capital Expenditures (per $ GDP)

VIEW DATA:   Totals   Per capita   Per $ GDP  
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Showing latest available data.

Correlations between Education > Public Libraries > Capital Expenditures (per $ GDP) ...

Variable Strength
...and  Education > Public Libraries > Capital Expenditures (per capita) 95% [plot | correlate | graph]
...and  Education > Public Libraries > Other Operating Expenditures (per $ GDP) 39% [plot | correlate | graph]
...and  Education > Public Libraries > Total Operating Expenditures (per $ GDP) 39% [plot | correlate | graph]
...and  Education > Public Libraries > Total Circulation per Capita 38% [plot | correlate | graph]
...and  Education > Public Libraries > Total Staff Expenditures (per $ GDP) 36% [plot | correlate | graph]
...and  Education > Public Libraries > Total Revenue (per $ GDP) 36% [plot | correlate | graph]
...and  Education > Public Libraries > Local Revenue (per $ GDP) 36% [plot | correlate | graph]
...and  Education > Public Libraries > Capital Expenditures 35% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total value of shipments (inverse) 34% [plot | correlate | graph]
...and  Education > Public Libraries > Total Collection Expenditures (per $ GDP) 32% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown 31% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (inverse) 31% [plot | correlate | graph]
...and  Industry > Textile mills > Annual payroll (inverse) 29% [plot | correlate | graph]
...and  Industry > Textile mills > Total capital expenditures (per $ GDP) (inverse) 27% [plot | correlate | graph]
...and  Education > Public Libraries > Other Operating Expenditures (per capita) 26% [plot | correlate | graph]
...and  Industry > Textile mills > Value added (inverse) 24% [plot | correlate | graph]
...and  Industry > Textile mills > Total value of shipments (inverse) 23% [plot | correlate | graph]
...and  Education > Public Libraries > Total Collection Expenditures (per capita) 23% [plot | correlate | graph]
...and  Industry > Textile mills > Total cost of materials (inverse) 23% [plot | correlate | graph]
...and  Labor > Textile mills > Number of employees (inverse) 21% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per capita) 21% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (per capita) (inverse) 21% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Number of employees (inverse) 21% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Waste management and remediation services (per $ GDP) 20% [plot | correlate | graph]
...and  Labor > Textile mills > Production workers (average per year) (inverse) 20% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Waste management and remediation services (per $ GDP) 20% [plot | correlate | graph]
...and  Education > Public Libraries > Video Materials per 1,000 Population 20% [plot | correlate | graph]
...and  Education > Public Libraries > Total Operating Expenditures (per capita) 20% [plot | correlate | graph]
...and  Labor > Apparel manufacturing > Production workers hours (per capita) (inverse) 19% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities (per capita) 19% [plot | correlate | graph]
...and  Health > Hospital Outpatient Services 18% [plot | correlate | graph]
...and  Education > Public Libraries > Total Revenue (per capita) 18% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Value added (per $ GDP) (inverse) 18% [plot | correlate | graph]
...and  Energy > Total Renewable Energy Consumption 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Forestry, fishing, and related activities 18% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Publishing including software (per capita) 17% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Production workers wages (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per capita) (inverse) 17% [plot | correlate | graph]
...and  Energy > Hydroelectric Energy Consumption (per $ GDP) 17% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Annual payroll (per $ GDP) (inverse) 17% [plot | correlate | graph]
...and  Labor > Beverage & tobacco product manufacturing > Production workers hours (per capita) (inverse) 17% [plot | correlate | graph]
...and  Education > Public Libraries > Audio Materials per 1,000 Population 17% [plot | correlate | graph]
...and  Industry > Beverage & tobacco product manufacturing > Total cost of materials (inverse) 16% [plot | correlate | graph]
...and  Health > HCBS Aged & Aged/Disabled 16% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Waste management and remediation services (per capita) 16% [plot | correlate | graph]
...and  Industry > Apparel manufacturing > Total cost of materials (per $ GDP) (inverse) 16% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Waste management and remediation services (per $ GDP) 16% [plot | correlate | graph]
...and  Education > Public Libraries > Circulation of Children's Materials (per capita) 16% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Waste management and remediation services (per capita) 16% [plot | correlate | graph]
...and  Labor > Wood product manufacturing > Production workers hours (per capita) 16% [plot | correlate | graph]
Average: 24%

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: Major capital expenditures (the acquisition of or additions to fixed assets) are included. Examples include expenditures for (a) site acquisitions; (b) new buildings; (c) additions to or renovation of library buildings; (d) furnishings, equipment, and initial book stock for new buildings, building additions, or building renovations; (e) library automation systems; (f) new vehicles; and (g) other one-time major projects. Federal, state, local, or other revenue used for major capital expenditures are included. Only funds that are supported by expenditure documents (e.g., invoices, contracts, payroll records, etc.) at the point of disbursement are included. Estimated costs are not included. Expenditures for replacement and repair of existing furnishings and equipment, regular purchase of library materials, and investments for capital appreciation are not included. Contributions to endowments, or revenue passed through to another agency (e.g., fines) are not included. Funds transferred from one public library to another public library are reported by only one of the public libraries. Per $ GDP figures expressed per 1 million $ gross domestic product.

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