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Correlations > Lifestyle Statistics > Percent of Households With One or More People Under 18 Years

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Showing latest available data.

Correlations between Lifestyle > Percent of Households With One or More People Under 18 Years ...

Variable Strength
...and  Lifestyle > Average Household Size 71% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers (average per year) 67% [plot | correlate | graph]
...and  Labor > Leather & allied product manufacturing > Production workers hours 66% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Third Grade Students (per capita) 63% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Second Grade Students (per capita) 62% [plot | correlate | graph]
...and  Education > Elementary & Secondary > First Grade Students (per capita) 60% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Fourth Grade Students (per capita) 59% [plot | correlate | graph]
...and  People > Median Age (inverse) 54% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Annual payroll 53% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Production workers wages 52% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Fifth Grade Students (per capita) 52% [plot | correlate | graph]
...and  People > Percent of Households That are Married-Couple Families With Own Children 50% [plot | correlate | graph]
...and  Lifestyle > Percent of Households That are Married-Couple Families With Own Children 50% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Sixth Grade Students (per capita) 48% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Number of employees 48% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total Students (per capita) 48% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Seventh Grade Students (per capita) 47% [plot | correlate | graph]
...and  People > Percent of People Who are 65 Years and Over (inverse) 44% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Private, Not For Profit (per capita) (inverse) 44% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers (average per year) 41% [plot | correlate | graph]
...and  People > Percent of residents over the age of 65 (inverse) 41% [plot | correlate | graph]
...and  Health > Birth Rate per 1,000 40% [plot | correlate | graph]
...and  Health > Registered Nurses per 10,000 Population (inverse) 40% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Annual payroll 40% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Kindergarten Students (per capita) 40% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Eighth Grade Students (per capita) 38% [plot | correlate | graph]
...and  Health > Medicare Enrollment as a % of Total Pop (inverse) 37% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Four Year (per capita) (inverse) 37% [plot | correlate | graph]
...and  Labor > Petroleum & coal products manufacturing > Production workers hours 36% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Production workers wages 36% [plot | correlate | graph]
...and  Industry > Leather & allied product manufacturing > Total capital expenditures 35% [plot | correlate | graph]
...and  People > Percent of People Who are 85 Years and Over (inverse) 34% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total cost of materials 34% [plot | correlate | graph]
...and  People > Women (Per 1,000) Who Had a Birth in the Past 12 Months 33% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total value of shipments 33% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Ninth Grade Students (per capita) 32% [plot | correlate | graph]
...and  Health > Inpatient Days (inverse) 32% [plot | correlate | graph]
...and  Education > Postsecondary > Number Of Institutions > Total Degree Granting Title IV Eligible (per capita) (inverse) 31% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Value added 30% [plot | correlate | graph]
...and  Housing > Percent of Housing Units That Were Built in 1939 or Earlier (inverse) 29% [plot | correlate | graph]
...and  Economy > GSP > Gross Operating Surplus > Social assistance (per capita) (inverse) 29% [plot | correlate | graph]
...and  Health > Ratio of Abortions to Live Births (inverse) 28% [plot | correlate | graph]
...and  Education > Elementary & Secondary > Total, All Grades- unknown (per capita) (inverse) 26% [plot | correlate | graph]
...and  Industry > Petroleum & coal products manufacturing > Total capital expenditures 25% [plot | correlate | graph]
...and  Health > Outpatient Visits (inverse) 24% [plot | correlate | graph]
...and  Health > Beds (inverse) 24% [plot | correlate | graph]
...and  Education > Postsecondary > Degrees Awarded > White (per capita) (inverse) 24% [plot | correlate | graph]
...and  People > Population > Percent change, 2000-2005 23% [plot | correlate | graph]
...and  Economy > GSP > Real GSP > Hospitals and nursing and residential care facilities (per capita) (inverse) 23% [plot | correlate | graph]
...and  Economy > GSP > Nominal GSP > Hospitals and nursing and residential care facilities (per capita) (inverse) 23% [plot | correlate | graph]
Average: 41%

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: Percent of Households With One or More People Under 18 Years, 2004

SOURCE: American Community Survey 2004

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