Demographics details for Manassas, VA vs Deerfield beach, FL

Population Overview

Compare main population characteristics in Manassas, VA vs Deerfield beach, FL.

Data Manassas Deerfield beach
Population 42,642 86,772
Median Age 35.1 years 43.5 years
Median Income $110,559 $53,741
Married Families 38.0% 35.0%
Poverty Level 7% 12%
Unemployment Rate 2.7 3.2

Population Comparison: Manassas vs Deerfield beach

  • The population in Deerfield beach is higher at 86,772, compared to 42,642 in Manassas.
  • The median age in Deerfield beach is higher at 43.5 years, compared to 35.1 years in Manassas.
  • Manassas has a higher median income of $110,559 compared to $53,741 in Deerfield beach.
  • A higher percentage of married families is found in Manassas at 38.0% compared to 35.0% in Deerfield beach.
  • The poverty level is higher in Deerfield beach at 12%, compared to 7% in Manassas.
  • Deerfield beach has a higher unemployment rate at 3.2% compared to 2.7% in Manassas.

Demographics

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

Demographic Manassas Deerfield beach
Black 13 24
White 23 33
Asian 6 2
Hispanic 39 24
Two or More Races 18 17
American Indian 1 Data is updating

Demographics Comparison: Manassas vs Deerfield beach

  • In Deerfield beach, the percentage of Black residents is higher at 24% compared to 13% in Manassas.
  • The percentage of White residents is higher in Deerfield beach at 33% compared to 23% in Manassas.
  • The Asian population is larger in Manassas at 6% compared to 2% in Deerfield beach.
  • The Hispanic community is larger in Manassas at 39% compared to 24% in Deerfield beach.
  • More residents identify as two or more races in Manassas at 18% compared to 17% in Deerfield beach.
  • A greater percentage of American Indian residents live in Manassas at 1% compared to 0% in Deerfield beach.

Health Statistics

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

Health Metric Manassas Deerfield beach
Mental Health Not Good 15.4% 16.6%
Physical Health Not Good 10.5% 11.6%
Depression 20.8% 18.5%
Smoking 14.7% 19.8%
Binge Drinking 16.8% 15.1%
Obesity 34.8% 30.3%
Disability Percentage 8.0% 14.0%

Health Statistics Comparison: Manassas vs Deerfield beach

  • In Deerfield beach, a higher percentage report poor mental health at 16.6% compared to 15.4% in Manassas.
  • Depression is more prevalent in Manassas at 20.8% compared to 18.5% in Deerfield beach.
  • Deerfield beach has a higher smoking rate at 19.8% compared to 14.7% in Manassas.
  • Binge drinking is more common in Manassas at 16.8% compared to 15.1% in Deerfield beach.
  • Obesity rates are higher in Manassas at 34.8% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in Deerfield beach at 14.0% compared to 8.0% in Manassas.

Education Levels

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

Education Level Manassas Deerfield beach
No Schooling 3.0% (1,266) 1.8% (1,563)
High School Diploma 15.8% (6,749) 18.7% (16,205)
Less than High School 17.4% (7,427) 18.3% (15,908)
Bachelor's Degree and Higher 22.4% (9,563) 20.3% (17,606)

Education Levels Comparison: Manassas vs Deerfield beach

  • A higher percentage of residents in Manassas have no formal schooling at 3.0% 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 15.8% in Manassas.
  • The percentage of residents with less than a high school education is higher in Deerfield beach at 18.3%, compared to 17.4% in Manassas.
  • A higher percentage of residents in Manassas hold a bachelor's degree or higher at 22.4% 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.