Demographics details for Deerfield beach, FL vs Surprise, AZ

Population Overview

Compare main population characteristics in Deerfield beach, FL vs Surprise, AZ.

Data Deerfield beach Surprise
Population 86,772 154,198
Median Age 43.5 years 41.5 years
Median Income $53,741 $87,756
Married Families 35.0% 44.0%
Poverty Level 12% 13%
Unemployment Rate 3.2 3.9

Population Comparison: Deerfield beach vs Surprise

  • The population in Surprise is higher at 154,198, compared to 86,772 in Deerfield beach.
  • Residents in Deerfield beach have a higher median age of 43.5 years compared to 41.5 years in Surprise.
  • Surprise has a higher median income of $87,756, compared to $53,741 in Deerfield beach.
  • In Surprise, the percentage of married families is higher at 44.0%, compared to 35.0% in Deerfield beach.
  • The poverty level is higher in Surprise at 13%, compared to 12% in Deerfield beach.
  • Surprise has a higher unemployment rate at 3.9% compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Deerfield beach Surprise
Black 24 5
White 33 63
Asian 2 2
Hispanic 24 20
Two or More Races 17 9
American Indian Data is updating 1

Demographics Comparison: Deerfield beach vs Surprise

  • A higher percentage of Black residents are in Deerfield beach at 24% compared to 5% in Surprise.
  • The percentage of White residents is higher in Surprise at 63% compared to 33% in Deerfield beach.
  • Both Deerfield beach and Surprise have the same percentage of Asian residents at 2%.
  • The Hispanic community is larger in Deerfield beach at 24% compared to 20% in Surprise.
  • More residents identify as two or more races in Deerfield beach at 17% compared to 9% in Surprise.
  • In Surprise, the percentage of American Indian residents is higher at 1%, compared to 0% in Deerfield beach.

Health Statistics

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

Health Metric Deerfield beach Surprise
Mental Health Not Good 16.6% 17.0%
Physical Health Not Good 11.6% 10.1%
Depression 18.5% 20.1%
Smoking 19.8% 14.4%
Binge Drinking 15.1% 18.5%
Obesity 30.3% 30.1%
Disability Percentage 14.0% 11.0%

Health Statistics Comparison: Deerfield beach vs Surprise

  • In Surprise, a higher percentage report poor mental health at 17.0% compared to 16.6% in Deerfield beach.
  • Higher depression rates are seen in Surprise at 20.1% versus 18.5% in Deerfield beach.
  • Smoking is more prevalent in Deerfield beach at 19.8% compared to 14.4% in Surprise.
  • More residents engage in binge drinking in Surprise at 18.5% compared to 15.1% in Deerfield beach.
  • Obesity rates are higher in Deerfield beach at 30.3% compared to 30.1% in Surprise.
  • Disability percentages are higher in Deerfield beach at 14.0% compared to 11.0% in Surprise.

Education Levels

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

Education Level Deerfield beach Surprise
No Schooling 1.8% (1,563) 0.5% (754)
High School Diploma 18.7% (16,205) 13.7% (21,050)
Less than High School 18.3% (15,908) 7.6% (11,792)
Bachelor's Degree and Higher 20.3% (17,606) 19.9% (30,735)

Education Levels Comparison: Deerfield beach vs Surprise

  • A higher percentage of residents in Deerfield beach have no formal schooling at 1.8% compared to 0.5% in Surprise.
  • A higher percentage of residents in Deerfield beach hold a high school diploma at 18.7% compared to 13.7% in Surprise.
  • More residents in Deerfield beach have less than a high school education at 18.3% compared to 7.6% in Surprise.
  • A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% compared to 19.9% in Surprise.

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.