Demographics details for Lake worth beach, FL vs Clayton, NY

Population Overview

Compare main population characteristics in Lake worth beach, FL vs Clayton, NY.

Data Lake worth beach Clayton
Population 38,548 4,781
Median Age 36.6 years 46.6 years
Median Income $42,500 $74,471
Married Families 27.0% 48.0%
Poverty Level 14% 10%
Unemployment Rate 4.1 4.5

Population Comparison: Lake worth beach vs Clayton

  • In Lake worth beach, the population is higher at 38,548, compared to 4,781 in Clayton.
  • The median age in Clayton is higher at 46.6 years, compared to 36.6 years in Lake worth beach.
  • Clayton has a higher median income of $74,471, compared to $42,500 in Lake worth beach.
  • In Clayton, the percentage of married families is higher at 48.0%, compared to 27.0% in Lake worth beach.
  • Lake worth beach has a higher poverty level at 14% compared to 10% in Clayton.
  • Clayton has a higher unemployment rate at 4.5% compared to 4.1% in Lake worth beach.

Demographics

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

Demographic Lake worth beach Clayton
Black 18 Data is updating
White 32 95
Asian 1 Data is updating
Hispanic 44 1
Two or More Races 3 4
American Indian 2 Data is updating

Demographics Comparison: Lake worth beach vs Clayton

  • A higher percentage of Black residents are in Lake worth beach at 18% compared to 0% in Clayton.
  • The percentage of White residents is higher in Clayton at 95% compared to 32% in Lake worth beach.
  • The Asian population is larger in Lake worth beach at 1% compared to 0% in Clayton.
  • The Hispanic community is larger in Lake worth beach at 44% compared to 1% in Clayton.
  • The percentage of residents identifying as two or more races is higher in Clayton at 4%, compared to 3% in Lake worth beach.
  • A greater percentage of American Indian residents live in Lake worth beach at 2% compared to 0% in Clayton.

Health Statistics

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

Health Metric Lake worth beach Clayton
Mental Health Not Good 17.4% Data is updating%
Physical Health Not Good 15.0% Data is updating%
Depression 18.8% Data is updating%
Smoking 24.3% Data is updating%
Binge Drinking 14.6% Data is updating%
Obesity 32.1% Data is updating%
Disability Percentage 10.0% 13.0%

Health Statistics Comparison: Lake worth beach vs Clayton

  • More residents in Lake worth beach report poor mental health at 17.4% compared to 0.0% in Clayton.
  • Depression is more prevalent in Lake worth beach at 18.8% compared to 0.0% in Clayton.
  • Smoking is more prevalent in Lake worth beach at 24.3% compared to 0.0% in Clayton.
  • Binge drinking is more common in Lake worth beach at 14.6% compared to 0.0% in Clayton.
  • Obesity rates are higher in Lake worth beach at 32.1% compared to 0.0% in Clayton.
  • There is a higher percentage of disabled individuals in Clayton at 13.0% 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 Lake worth beach Clayton
No Schooling 4.2% (1,638) 0.1% (4)
High School Diploma 14.6% (5,630) 18.3% (874)
Less than High School 37.5% (14,472) 14.2% (679)
Bachelor's Degree and Higher 13.1% (5,068) 20.6% (983)

Education Levels Comparison: Lake worth beach vs Clayton

  • A higher percentage of residents in Lake worth beach have no formal schooling at 4.2% compared to 0.1% in Clayton.
  • In Clayton, the rate of residents with high school diplomas is higher at 18.3% compared to 14.6% in Lake worth beach.
  • More residents in Lake worth beach have less than a high school education at 37.5% compared to 14.2% in Clayton.
  • In Clayton, a larger share of residents have a bachelor's degree or higher at 20.6% compared to 13.1% in Lake worth beach.

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.