Demographics details for Deerfield beach, FL vs Union city, GA

Population Overview

Compare main population characteristics in Deerfield beach, FL vs Union city, GA.

Data Deerfield beach Union city
Population 86,772 27,895
Median Age 43.5 years 32.7 years
Median Income $53,741 $46,696
Married Families 35.0% 17.0%
Poverty Level 12% 16%
Unemployment Rate 3.2 6.1

Population Comparison: Deerfield beach vs Union city

  • In Deerfield beach, the population is higher at 86,772, compared to 27,895 in Union city.
  • Residents in Deerfield beach have a higher median age of 43.5 years compared to 32.7 years in Union city.
  • Deerfield beach has a higher median income of $53,741 compared to $46,696 in Union city.
  • A higher percentage of married families is found in Deerfield beach at 35.0% compared to 17.0% in Union city.
  • The poverty level is higher in Union city at 16%, compared to 12% in Deerfield beach.
  • Union city has a higher unemployment rate at 6.1% compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Deerfield beach Union city
Black 24 85
White 33 6
Asian 2 Data is updating
Hispanic 24 5
Two or More Races 17 4
American Indian Data is updating Data is updating

Demographics Comparison: Deerfield beach vs Union city

  • In Union city, the percentage of Black residents is higher at 85% compared to 24% in Deerfield beach.
  • Deerfield beach has a higher percentage of White residents at 33% compared to 6% in Union city.
  • The Asian population is larger in Deerfield beach at 2% compared to 0% in Union city.
  • The Hispanic community is larger in Deerfield beach at 24% compared to 5% in Union city.
  • More residents identify as two or more races in Deerfield beach at 17% compared to 4% in Union city.
  • The percentage of American Indian residents is the same in both Deerfield beach and Union city at 0%.

Health Statistics

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

Health Metric Deerfield beach Union city
Mental Health Not Good 16.6% 16.7%
Physical Health Not Good 11.6% 12.2%
Depression 18.5% 17.2%
Smoking 19.8% 18.0%
Binge Drinking 15.1% 13.5%
Obesity 30.3% 36.6%
Disability Percentage 14.0% 12.0%

Health Statistics Comparison: Deerfield beach vs Union city

  • In Union city, a higher percentage report poor mental health at 16.7% compared to 16.6% in Deerfield beach.
  • Depression is more prevalent in Deerfield beach at 18.5% compared to 17.2% in Union city.
  • Smoking is more prevalent in Deerfield beach at 19.8% compared to 18.0% in Union city.
  • Binge drinking is more common in Deerfield beach at 15.1% compared to 13.5% in Union city.
  • Union city has higher obesity rates at 36.6% compared to 30.3% in Deerfield beach.
  • Disability percentages are higher in Deerfield beach at 14.0% compared to 12.0% in Union city.

Education Levels

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

Education Level Deerfield beach Union city
No Schooling 1.8% (1,563) 0.5% (129)
High School Diploma 18.7% (16,205) 13.2% (3,681)
Less than High School 18.3% (15,908) 7.8% (2,166)
Bachelor's Degree and Higher 20.3% (17,606) 17.3% (4,828)

Education Levels Comparison: Deerfield beach vs Union city

  • A higher percentage of residents in Deerfield beach have no formal schooling at 1.8% compared to 0.5% in Union city.
  • A higher percentage of residents in Deerfield beach hold a high school diploma at 18.7% compared to 13.2% in Union city.
  • More residents in Deerfield beach have less than a high school education at 18.3% compared to 7.8% in Union city.
  • A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% compared to 17.3% in Union city.

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.