Demographics details for Deerfield beach, FL vs Queenstown, MD

Population Overview

Compare main population characteristics in Deerfield beach, FL vs Queenstown, MD.

Data Deerfield beach Queenstown
Population 86,772 741
Median Age 43.5 years 35.3 years
Median Income $53,741 $101,964
Married Families 35.0% 43.0%
Poverty Level 12% 5%
Unemployment Rate 3.2 4.2

Population Comparison: Deerfield beach vs Queenstown

  • In Deerfield beach, the population is higher at 86,772, compared to 741 in Queenstown.
  • Residents in Deerfield beach have a higher median age of 43.5 years compared to 35.3 years in Queenstown.
  • Queenstown has a higher median income of $101,964, compared to $53,741 in Deerfield beach.
  • In Queenstown, the percentage of married families is higher at 43.0%, compared to 35.0% in Deerfield beach.
  • Deerfield beach has a higher poverty level at 12% compared to 5% in Queenstown.
  • Queenstown has a higher unemployment rate at 4.2% compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Deerfield beach Queenstown
Black 24 13
White 33 30
Asian 2 Data is updating
Hispanic 24 34
Two or More Races 17 21
American Indian Data is updating 2

Demographics Comparison: Deerfield beach vs Queenstown

  • A higher percentage of Black residents are in Deerfield beach at 24% compared to 13% in Queenstown.
  • Deerfield beach has a higher percentage of White residents at 33% compared to 30% in Queenstown.
  • The Asian population is larger in Deerfield beach at 2% compared to 0% in Queenstown.
  • Queenstown has a higher percentage of Hispanic residents at 34%, compared to 24% in Deerfield beach.
  • The percentage of residents identifying as two or more races is higher in Queenstown at 21%, compared to 17% in Deerfield beach.
  • In Queenstown, the percentage of American Indian residents is higher at 2%, compared to 0% in Deerfield beach.

Health Statistics

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

Health Metric Deerfield beach Queenstown
Mental Health Not Good 16.6% 14.5%
Physical Health Not Good 11.6% 8.4%
Depression 18.5% 20.2%
Smoking 19.8% 12.0%
Binge Drinking 15.1% 17.8%
Obesity 30.3% 33.7%
Disability Percentage 14.0% 11.0%

Health Statistics Comparison: Deerfield beach vs Queenstown

  • More residents in Deerfield beach report poor mental health at 16.6% compared to 14.5% in Queenstown.
  • Higher depression rates are seen in Queenstown at 20.2% versus 18.5% in Deerfield beach.
  • Smoking is more prevalent in Deerfield beach at 19.8% compared to 12.0% in Queenstown.
  • More residents engage in binge drinking in Queenstown at 17.8% compared to 15.1% in Deerfield beach.
  • Queenstown has higher obesity rates at 33.7% compared to 30.3% in Deerfield beach.
  • Disability percentages are higher in Deerfield beach at 14.0% compared to 11.0% in Queenstown.

Education Levels

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

Education Level Deerfield beach Queenstown
No Schooling 1.8% (1,563) 2.7% (20)
High School Diploma 18.7% (16,205) 17.8% (132)
Less than High School 18.3% (15,908) 14.6% (108)
Bachelor's Degree and Higher 20.3% (17,606) 28.3% (210)

Education Levels Comparison: Deerfield beach vs Queenstown

  • In Queenstown, a larger percentage of residents lack formal schooling at 2.7% compared to 1.8% in Deerfield beach.
  • A higher percentage of residents in Deerfield beach hold a high school diploma at 18.7% compared to 17.8% in Queenstown.
  • More residents in Deerfield beach have less than a high school education at 18.3% compared to 14.6% in Queenstown.
  • In Queenstown, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 20.3% in Deerfield 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.