StateMaster - Correlations > Housing > Average Property Loss per Fire

	Variable	Strength
...and	Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per $ GDP)	28%	[plot \| correlate \| graph]
...and	Geography > Water area	27%	[plot \| correlate \| graph]
...and	Energy > Conservation/Energy-Efficiency R & D Programs- Expenditures (per capita)	23%	[plot \| correlate \| graph]
...and	Crime > Arson deaths	21%	[plot \| correlate \| graph]
...and	Industry > Primary metal manufacturing > Annual payroll (per capita)	21%	[plot \| correlate \| graph]
...and	People > Percent of Foreign Population Born in Asia	20%	[plot \| correlate \| graph]
...and	Health > Hospital Outpatient Services	17%	[plot \| correlate \| graph]
...and	Energy > Weatherization Assistance for Low-Income Persons- Expenditures	16%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Total Expenditures for Education (per $ GDP)	15%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per capita)	14%	[plot \| correlate \| graph]
...and	Health > Smokeless tobacco users	14%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Motor vehicle, body, trailer, and parts manufacturing (per $ GDP)	14%	[plot \| correlate \| graph]
...and	Labor > Plastics & rubber products manufacturing > Number of employees	14%	[plot \| correlate \| graph]
...and	Labor > Primary metal manufacturing > Number of employees (per capita)	14%	[plot \| correlate \| graph]
...and	Economy > GSP > Chain-type Quantity Indexes > Federal Reserve banks, credit intermediation and related services (inverse)	13%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Annual payroll (per capita)	13%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Annual payroll (per $ GDP)	13%	[plot \| correlate \| graph]
...and	Industry > Furniture & related product manufacturing > Value added	13%	[plot \| correlate \| graph]
...and	Health > Outpatient Visits	13%	[plot \| correlate \| graph]
...and	People > Percent of Foreign Population Born in Latin America (inverse)	12%	[plot \| correlate \| graph]
...and	Housing > Percent of Occupied Housing Units That Were Moved into in 2000 or Later (inverse)	12%	[plot \| correlate \| graph]
...and	Economy > GSP > Gross Operating Surplus > Pipeline transportation	12%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Annual payroll	11%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Current Expenditures (per $ GDP)	11%	[plot \| correlate \| graph]
...and	Labor > Machinery manufacturing > Number of employees	11%	[plot \| correlate \| graph]
...and	Military > Navy Recruits: Percent White	11%	[plot \| correlate \| graph]
...and	Industry > Machinery manufacturing > Production workers wages	11%	[plot \| correlate \| graph]
...and	Economy > GSP > Nominal GSP > Utilities (per capita)	10%	[plot \| correlate \| graph]
...and	Economy > GSP > Real GSP > Utilities (per capita)	10%	[plot \| correlate \| graph]
...and	Labor > Petroleum & coal products manufacturing > Number of employees (per capita) (inverse)	10%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Total Revenue from All Sources (per $ GDP)	10%	[plot \| correlate \| graph]
...and	Education > Elementary & Secondary Finance > Instruct. Expend.- Subtotal (per $ GDP)	10%	[plot \| correlate \| graph]
	Average:	15%

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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Map & Graph: states ranked

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: Average loss of property in US dollars by fires (arson and accidental).

SOURCE: US Fire Administration, 2001

Correlations > Housing Statistics > Average Property Loss per Fire

Correlations between Housing > Average Property Loss per Fire ...

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