Demographics details for Fall river mills, CA vs Bay shore, NY

Population Overview

Compare main population characteristics in Fall river mills, CA vs Bay shore, NY.

Data Fall river mills Bay shore
Population 678 30,553
Median Age 27.7 years 36.4 years
Median Income $36,827 $103,272
Married Families 34.0% 32.0%
Poverty Level 15% 5%
Unemployment Rate 6.0 4.2

Population Comparison: Fall river mills vs Bay shore

  • The population in Bay shore is higher at 30,553, compared to 678 in Fall river mills.
  • The median age in Bay shore is higher at 36.4 years, compared to 27.7 years in Fall river mills.
  • Bay shore has a higher median income of $103,272, compared to $36,827 in Fall river mills.
  • A higher percentage of married families is found in Fall river mills at 34.0% compared to 32.0% in Bay shore.
  • Fall river mills has a higher poverty level at 15% compared to 5% in Bay shore.
  • The unemployment rate in Fall river mills is higher at 6.0%, compared to 4.2% in Bay shore.

Demographics

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

Demographic Fall river mills Bay shore
Black 1 15
White 36 31
Asian Data is updating 9
Hispanic 25 33
Two or More Races 27 10
American Indian 11 2

Demographics Comparison: Fall river mills vs Bay shore

  • In Bay shore, the percentage of Black residents is higher at 15% compared to 1% in Fall river mills.
  • Fall river mills has a higher percentage of White residents at 36% compared to 31% in Bay shore.
  • In Bay shore, the Asian population stands at 9%, greater than 0% in Fall river mills.
  • Bay shore has a higher percentage of Hispanic residents at 33%, compared to 25% in Fall river mills.
  • More residents identify as two or more races in Fall river mills at 27% compared to 10% in Bay shore.
  • A greater percentage of American Indian residents live in Fall river mills at 11% compared to 2% in Bay shore.

Health Statistics

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

Health Metric Fall river mills Bay shore
Mental Health Not Good 17.9% 14.6%
Physical Health Not Good 11.7% 9.7%
Depression 21.7% 18.6%
Smoking 14.7% 13.8%
Binge Drinking 18.0% 15.3%
Obesity 31.3% 32.0%
Disability Percentage 12.0% 8.0%

Health Statistics Comparison: Fall river mills vs Bay shore

  • More residents in Fall river mills report poor mental health at 17.9% compared to 14.6% in Bay shore.
  • Depression is more prevalent in Fall river mills at 21.7% compared to 18.6% in Bay shore.
  • Smoking is more prevalent in Fall river mills at 14.7% compared to 13.8% in Bay shore.
  • Binge drinking is more common in Fall river mills at 18.0% compared to 15.3% in Bay shore.
  • Bay shore has higher obesity rates at 32.0% compared to 31.3% in Fall river mills.
  • Disability percentages are higher in Fall river mills at 12.0% compared to 8.0% in Bay shore.

Education Levels

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

Education Level Fall river mills Bay shore
No Schooling 0.0% (Data is updating) 1.7% (506)
High School Diploma 13.4% (91) 14.9% (4,552)
Less than High School 9.7% (66) 16.0% (4,885)
Bachelor's Degree and Higher 4.9% (33) 21.1% (6,444)

Education Levels Comparison: Fall river mills vs Bay shore

  • In Bay shore, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Fall river mills.
  • In Bay shore, the rate of residents with high school diplomas is higher at 14.9% compared to 13.4% in Fall river mills.
  • The percentage of residents with less than a high school education is higher in Bay shore at 16.0%, compared to 9.7% in Fall river mills.
  • In Bay shore, a larger share of residents have a bachelor's degree or higher at 21.1% 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.