Demographics details for Dayton, PA vs Lake worth beach, FL

Population Overview

Compare main population characteristics in Dayton, PA vs Lake worth beach, FL.

Data Dayton Lake worth beach
Population 544 38,548
Median Age 44.7 years 36.6 years
Median Income $53,750 $42,500
Married Families 50.0% 27.0%
Poverty Level 7% 14%
Unemployment Rate 4.5 4.1

Population Comparison: Dayton vs Lake worth beach

  • The population in Lake worth beach is higher at 38,548, compared to 544 in Dayton.
  • Residents in Dayton have a higher median age of 44.7 years compared to 36.6 years in Lake worth beach.
  • Dayton has a higher median income of $53,750 compared to $42,500 in Lake worth beach.
  • A higher percentage of married families is found in Dayton at 50.0% compared to 27.0% in Lake worth beach.
  • The poverty level is higher in Lake worth beach at 14%, compared to 7% in Dayton.
  • The unemployment rate in Dayton is higher at 4.5%, compared to 4.1% in Lake worth beach.

Demographics

Demographics Dayton vs Lake worth beach provide insight into the diversity of the communities to compare.

Demographic Dayton Lake worth beach
Black Data is updating 18
White 96 32
Asian Data is updating 1
Hispanic Data is updating 44
Two or More Races 4 3
American Indian Data is updating 2

Demographics Comparison: Dayton vs Lake worth beach

  • In Lake worth beach, the percentage of Black residents is higher at 18% compared to 0% in Dayton.
  • Dayton has a higher percentage of White residents at 96% compared to 32% in Lake worth beach.
  • In Lake worth beach, the Asian population stands at 1%, greater than 0% in Dayton.
  • Lake worth beach has a higher percentage of Hispanic residents at 44%, compared to 0% in Dayton.
  • More residents identify as two or more races in Dayton at 4% compared to 3% in Lake worth beach.
  • In Lake worth beach, the percentage of American Indian residents is higher at 2%, compared to 0% in Dayton.

Health Statistics

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

Health Metric Dayton Lake worth beach
Mental Health Not Good 18.1% 17.4%
Physical Health Not Good 13.0% 15.0%
Depression 24.0% 18.8%
Smoking 22.4% 24.3%
Binge Drinking 18.3% 14.6%
Obesity 36.0% 32.1%
Disability Percentage 22.0% 10.0%

Health Statistics Comparison: Dayton vs Lake worth beach

  • More residents in Dayton report poor mental health at 18.1% compared to 17.4% in Lake worth beach.
  • Depression is more prevalent in Dayton at 24.0% compared to 18.8% in Lake worth beach.
  • Lake worth beach has a higher smoking rate at 24.3% compared to 22.4% in Dayton.
  • Binge drinking is more common in Dayton at 18.3% compared to 14.6% in Lake worth beach.
  • Obesity rates are higher in Dayton at 36.0% compared to 32.1% in Lake worth beach.
  • Disability percentages are higher in Dayton at 22.0% compared to 10.0% in Lake worth beach.

Education Levels

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

Education Level Dayton Lake worth beach
No Schooling 0.6% (3) 4.2% (1,638)
High School Diploma 35.1% (191) 14.6% (5,630)
Less than High School 15.8% (86) 37.5% (14,472)
Bachelor's Degree and Higher 9.2% (50) 13.1% (5,068)

Education Levels Comparison: Dayton vs Lake worth beach

  • In Lake worth beach, a larger percentage of residents lack formal schooling at 4.2% compared to 0.6% in Dayton.
  • A higher percentage of residents in Dayton hold a high school diploma at 35.1% compared to 14.6% in Lake worth beach.
  • The percentage of residents with less than a high school education is higher in Lake worth beach at 37.5%, compared to 15.8% in Dayton.
  • In Lake worth beach, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 9.2% in Dayton.

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.