Demographics details for Fall river mills, CA vs Stearns, KY

Population Overview

Compare main population characteristics in Fall river mills, CA vs Stearns, KY.

Data Fall river mills Stearns
Population 678 1,224
Median Age 27.7 years 48.0 years
Median Income $36,827 $38,333
Married Families 34.0% 52.0%
Poverty Level 15% 12%
Unemployment Rate 6.0 4.5

Population Comparison: Fall river mills vs Stearns

  • The population in Stearns is higher at 1,224, compared to 678 in Fall river mills.
  • The median age in Stearns is higher at 48.0 years, compared to 27.7 years in Fall river mills.
  • Stearns has a higher median income of $38,333, compared to $36,827 in Fall river mills.
  • In Stearns, the percentage of married families is higher at 52.0%, compared to 34.0% in Fall river mills.
  • Fall river mills has a higher poverty level at 15% compared to 12% in Stearns.
  • The unemployment rate in Fall river mills is higher at 6.0%, compared to 4.5% in Stearns.

Demographics

Demographics Fall river mills vs Stearns provide insight into the diversity of the communities to compare.

Demographic Fall river mills Stearns
Black 1 Data is updating
White 36 99
Asian Data is updating Data is updating
Hispanic 25 Data is updating
Two or More Races 27 1
American Indian 11 Data is updating

Demographics Comparison: Fall river mills vs Stearns

  • A higher percentage of Black residents are in Fall river mills at 1% compared to 0% in Stearns.
  • The percentage of White residents is higher in Stearns at 99% compared to 36% in Fall river mills.
  • Both Fall river mills and Stearns have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Fall river mills at 25% compared to 0% in Stearns.
  • More residents identify as two or more races in Fall river mills at 27% compared to 1% in Stearns.
  • A greater percentage of American Indian residents live in Fall river mills at 11% compared to 0% in Stearns.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Fall river mills Stearns
Mental Health Not Good 17.9% 23.5%
Physical Health Not Good 11.7% 19.0%
Depression 21.7% 32.6%
Smoking 14.7% 30.8%
Binge Drinking 18.0% 13.4%
Obesity 31.3% 43.4%
Disability Percentage 12.0% 20.0%

Health Statistics Comparison: Fall river mills vs Stearns

  • In Stearns, a higher percentage report poor mental health at 23.5% compared to 17.9% in Fall river mills.
  • Higher depression rates are seen in Stearns at 32.6% versus 21.7% in Fall river mills.
  • Stearns has a higher smoking rate at 30.8% compared to 14.7% in Fall river mills.
  • Binge drinking is more common in Fall river mills at 18.0% compared to 13.4% in Stearns.
  • Stearns has higher obesity rates at 43.4% compared to 31.3% in Fall river mills.
  • There is a higher percentage of disabled individuals in Stearns at 20.0% compared to 12.0% in Fall river mills.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Fall river mills Stearns
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 13.4% (91) 21.6% (264)
Less than High School 9.7% (66) 20.1% (246)
Bachelor's Degree and Higher 4.9% (33) 17.5% (214)

Education Levels Comparison: Fall river mills vs Stearns

  • The percentage of residents with no formal schooling is the same in both Fall river mills and Stearns at 0.0%.
  • In Stearns, the rate of residents with high school diplomas is higher at 21.6% compared to 13.4% in Fall river mills.
  • The percentage of residents with less than a high school education is higher in Stearns at 20.1%, compared to 9.7% in Fall river mills.
  • In Stearns, a larger share of residents have a bachelor's degree or higher at 17.5% compared to 4.9% in Fall river mills.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.