Demographics details for Deerfield beach, FL vs Bryan, OH

Population Overview

Compare main population characteristics in Deerfield beach, FL vs Bryan, OH.

Data Deerfield beach Bryan
Population 86,772 8,623
Median Age 43.5 years 46.5 years
Median Income $53,741 $51,415
Married Families 35.0% 33.0%
Poverty Level 12% 9%
Unemployment Rate 3.2 4.2

Population Comparison: Deerfield beach vs Bryan

  • In Deerfield beach, the population is higher at 86,772, compared to 8,623 in Bryan.
  • The median age in Bryan is higher at 46.5 years, compared to 43.5 years in Deerfield beach.
  • Deerfield beach has a higher median income of $53,741 compared to $51,415 in Bryan.
  • A higher percentage of married families is found in Deerfield beach at 35.0% compared to 33.0% in Bryan.
  • Deerfield beach has a higher poverty level at 12% compared to 9% in Bryan.
  • Bryan has a higher unemployment rate at 4.2% compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Deerfield beach Bryan
Black 24 2
White 33 92
Asian 2 1
Hispanic 24 4
Two or More Races 17 1
American Indian Data is updating Data is updating

Demographics Comparison: Deerfield beach vs Bryan

  • A higher percentage of Black residents are in Deerfield beach at 24% compared to 2% in Bryan.
  • The percentage of White residents is higher in Bryan at 92% compared to 33% in Deerfield beach.
  • The Asian population is larger in Deerfield beach at 2% compared to 1% in Bryan.
  • The Hispanic community is larger in Deerfield beach at 24% compared to 4% in Bryan.
  • More residents identify as two or more races in Deerfield beach at 17% compared to 1% in Bryan.
  • The percentage of American Indian residents is the same in both Deerfield beach and Bryan at 0%.

Health Statistics

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

Health Metric Deerfield beach Bryan
Mental Health Not Good 16.6% 17.5%
Physical Health Not Good 11.6% 11.5%
Depression 18.5% 23.2%
Smoking 19.8% 20.5%
Binge Drinking 15.1% 18.3%
Obesity 30.3% 41.8%
Disability Percentage 14.0% 16.0%

Health Statistics Comparison: Deerfield beach vs Bryan

  • In Bryan, a higher percentage report poor mental health at 17.5% compared to 16.6% in Deerfield beach.
  • Higher depression rates are seen in Bryan at 23.2% versus 18.5% in Deerfield beach.
  • Bryan has a higher smoking rate at 20.5% compared to 19.8% in Deerfield beach.
  • More residents engage in binge drinking in Bryan at 18.3% compared to 15.1% in Deerfield beach.
  • Bryan has higher obesity rates at 41.8% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in Bryan at 16.0% compared to 14.0% in Deerfield beach.

Education Levels

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

Education Level Deerfield beach Bryan
No Schooling 1.8% (1,563) 0.5% (45)
High School Diploma 18.7% (16,205) 27.7% (2,385)
Less than High School 18.3% (15,908) 16.1% (1,391)
Bachelor's Degree and Higher 20.3% (17,606) 11.4% (984)

Education Levels Comparison: Deerfield beach vs Bryan

  • A higher percentage of residents in Deerfield beach have no formal schooling at 1.8% compared to 0.5% in Bryan.
  • In Bryan, the rate of residents with high school diplomas is higher at 27.7% compared to 18.7% in Deerfield beach.
  • More residents in Deerfield beach have less than a high school education at 18.3% compared to 16.1% in Bryan.
  • A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% compared to 11.4% in Bryan.

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.