Demographics details for Deerfield beach, FL vs Plymouth, PA

Population Overview

Compare main population characteristics in Deerfield beach, FL vs Plymouth, PA.

Data Deerfield beach Plymouth
Population 86,772 5,751
Median Age 43.5 years 40.4 years
Median Income $53,741 $46,858
Married Families 35.0% 26.0%
Poverty Level 12% 12%
Unemployment Rate 3.2 4.5

Population Comparison: Deerfield beach vs Plymouth

  • In Deerfield beach, the population is higher at 86,772, compared to 5,751 in Plymouth.
  • Residents in Deerfield beach have a higher median age of 43.5 years compared to 40.4 years in Plymouth.
  • Deerfield beach has a higher median income of $53,741 compared to $46,858 in Plymouth.
  • A higher percentage of married families is found in Deerfield beach at 35.0% compared to 26.0% in Plymouth.
  • The poverty level is identical in both Deerfield beach and Plymouth at 12%.
  • Plymouth has a higher unemployment rate at 4.5% compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Deerfield beach Plymouth
Black 24 9
White 33 73
Asian 2 Data is updating
Hispanic 24 12
Two or More Races 17 6
American Indian Data is updating Data is updating

Demographics Comparison: Deerfield beach vs Plymouth

  • A higher percentage of Black residents are in Deerfield beach at 24% compared to 9% in Plymouth.
  • The percentage of White residents is higher in Plymouth at 73% compared to 33% in Deerfield beach.
  • The Asian population is larger in Deerfield beach at 2% compared to 0% in Plymouth.
  • The Hispanic community is larger in Deerfield beach at 24% compared to 12% in Plymouth.
  • More residents identify as two or more races in Deerfield beach at 17% compared to 6% in Plymouth.
  • The percentage of American Indian residents is the same in both Deerfield beach and Plymouth at 0%.

Health Statistics

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

Health Metric Deerfield beach Plymouth
Mental Health Not Good 16.6% 19.9%
Physical Health Not Good 11.6% 14.4%
Depression 18.5% 24.2%
Smoking 19.8% 25.3%
Binge Drinking 15.1% 16.7%
Obesity 30.3% 39.6%
Disability Percentage 14.0% 20.0%

Health Statistics Comparison: Deerfield beach vs Plymouth

  • In Plymouth, a higher percentage report poor mental health at 19.9% compared to 16.6% in Deerfield beach.
  • Higher depression rates are seen in Plymouth at 24.2% versus 18.5% in Deerfield beach.
  • Plymouth has a higher smoking rate at 25.3% compared to 19.8% in Deerfield beach.
  • More residents engage in binge drinking in Plymouth at 16.7% compared to 15.1% in Deerfield beach.
  • Plymouth has higher obesity rates at 39.6% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in Plymouth at 20.0% 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 Plymouth
No Schooling 1.8% (1,563) 2.3% (133)
High School Diploma 18.7% (16,205) 24.9% (1,432)
Less than High School 18.3% (15,908) 16.5% (949)
Bachelor's Degree and Higher 20.3% (17,606) 8.4% (482)

Education Levels Comparison: Deerfield beach vs Plymouth

  • In Plymouth, a larger percentage of residents lack formal schooling at 2.3% compared to 1.8% in Deerfield beach.
  • In Plymouth, the rate of residents with high school diplomas is higher at 24.9% compared to 18.7% in Deerfield beach.
  • More residents in Deerfield beach have less than a high school education at 18.3% compared to 16.5% in Plymouth.
  • A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% compared to 8.4% in Plymouth.

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.