Demographics details for Fort payne, AL vs Deerfield beach, FL

Population Overview

Compare main population characteristics in Fort payne, AL vs Deerfield beach, FL.

Data Fort payne Deerfield beach
Population 14,879 86,772
Median Age 39.7 years 43.5 years
Median Income $44,549 $53,741
Married Families 38.0% 35.0%
Poverty Level 11% 12%
Unemployment Rate 2.5 3.2

Population Comparison: Fort payne vs Deerfield beach

  • The population in Deerfield beach is higher at 86,772, compared to 14,879 in Fort payne.
  • The median age in Deerfield beach is higher at 43.5 years, compared to 39.7 years in Fort payne.
  • Deerfield beach has a higher median income of $53,741, compared to $44,549 in Fort payne.
  • A higher percentage of married families is found in Fort payne at 38.0% compared to 35.0% in Deerfield beach.
  • The poverty level is higher in Deerfield beach at 12%, compared to 11% in Fort payne.
  • Deerfield beach has a higher unemployment rate at 3.2% compared to 2.5% in Fort payne.

Demographics

Demographics Fort payne vs Deerfield beach provide insight into the diversity of the communities to compare.

Demographic Fort payne Deerfield beach
Black 2 24
White 72 33
Asian Data is updating 2
Hispanic 20 24
Two or More Races 4 17
American Indian 2 Data is updating

Demographics Comparison: Fort payne vs Deerfield beach

  • In Deerfield beach, the percentage of Black residents is higher at 24% compared to 2% in Fort payne.
  • Fort payne has a higher percentage of White residents at 72% compared to 33% in Deerfield beach.
  • In Deerfield beach, the Asian population stands at 2%, greater than 0% in Fort payne.
  • Deerfield beach has a higher percentage of Hispanic residents at 24%, compared to 20% in Fort payne.
  • The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 4% in Fort payne.
  • A greater percentage of American Indian residents live in Fort payne at 2% compared to 0% in Deerfield beach.

Health Statistics

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

Health Metric Fort payne Deerfield beach
Mental Health Not Good 21.2% 16.6%
Physical Health Not Good 16.1% 11.6%
Depression 26.0% 18.5%
Smoking 23.3% 19.8%
Binge Drinking 14.3% 15.1%
Obesity 41.8% 30.3%
Disability Percentage 13.0% 14.0%

Health Statistics Comparison: Fort payne vs Deerfield beach

  • More residents in Fort payne report poor mental health at 21.2% compared to 16.6% in Deerfield beach.
  • Depression is more prevalent in Fort payne at 26.0% compared to 18.5% in Deerfield beach.
  • Smoking is more prevalent in Fort payne at 23.3% compared to 19.8% in Deerfield beach.
  • More residents engage in binge drinking in Deerfield beach at 15.1% compared to 14.3% in Fort payne.
  • Obesity rates are higher in Fort payne at 41.8% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in Deerfield beach at 14.0% compared to 13.0% in Fort payne.

Education Levels

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

Education Level Fort payne Deerfield beach
No Schooling 2.7% (402) 1.8% (1,563)
High School Diploma 14.2% (2,110) 18.7% (16,205)
Less than High School 27.9% (4,155) 18.3% (15,908)
Bachelor's Degree and Higher 11.9% (1,767) 20.3% (17,606)

Education Levels Comparison: Fort payne vs Deerfield beach

  • A higher percentage of residents in Fort payne have no formal schooling at 2.7% compared to 1.8% in Deerfield beach.
  • In Deerfield beach, the rate of residents with high school diplomas is higher at 18.7% compared to 14.2% in Fort payne.
  • More residents in Fort payne have less than a high school education at 27.9% compared to 18.3% in Deerfield beach.
  • In Deerfield beach, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 11.9% in Fort payne.

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.