Demographics details for Englewood, OH vs Deerfield beach, FL

Population Overview

Compare main population characteristics in Englewood, OH vs Deerfield beach, FL.

Data Englewood Deerfield beach
Population 13,301 86,772
Median Age 43.1 years 43.5 years
Median Income $67,769 $53,741
Married Families 40.0% 35.0%
Poverty Level 5% 12%
Unemployment Rate 3.6 3.2

Population Comparison: Englewood vs Deerfield beach

  • The population in Deerfield beach is higher at 86,772, compared to 13,301 in Englewood.
  • The median age in Deerfield beach is higher at 43.5 years, compared to 43.1 years in Englewood.
  • Englewood has a higher median income of $67,769 compared to $53,741 in Deerfield beach.
  • A higher percentage of married families is found in Englewood at 40.0% compared to 35.0% in Deerfield beach.
  • The poverty level is higher in Deerfield beach at 12%, compared to 5% in Englewood.
  • The unemployment rate in Englewood is higher at 3.6%, compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Englewood Deerfield beach
Black 16 24
White 76 33
Asian 1 2
Hispanic 1 24
Two or More Races 6 17
American Indian Data is updating Data is updating

Demographics Comparison: Englewood vs Deerfield beach

  • In Deerfield beach, the percentage of Black residents is higher at 24% compared to 16% in Englewood.
  • Englewood has a higher percentage of White residents at 76% compared to 33% in Deerfield beach.
  • In Deerfield beach, the Asian population stands at 2%, greater than 1% in Englewood.
  • Deerfield beach has a higher percentage of Hispanic residents at 24%, compared to 1% in Englewood.
  • The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 6% in Englewood.
  • The percentage of American Indian residents is the same in both Englewood and Deerfield beach at 0%.

Health Statistics

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

Health Metric Englewood Deerfield beach
Mental Health Not Good 17.7% 16.6%
Physical Health Not Good 11.0% 11.6%
Depression 25.5% 18.5%
Smoking 16.8% 19.8%
Binge Drinking 18.8% 15.1%
Obesity 37.9% 30.3%
Disability Percentage 13.0% 14.0%

Health Statistics Comparison: Englewood vs Deerfield beach

  • More residents in Englewood report poor mental health at 17.7% compared to 16.6% in Deerfield beach.
  • Depression is more prevalent in Englewood at 25.5% compared to 18.5% in Deerfield beach.
  • Deerfield beach has a higher smoking rate at 19.8% compared to 16.8% in Englewood.
  • Binge drinking is more common in Englewood at 18.8% compared to 15.1% in Deerfield beach.
  • Obesity rates are higher in Englewood at 37.9% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in Deerfield beach at 14.0% compared to 13.0% in Englewood.

Education Levels

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

Education Level Englewood Deerfield beach
No Schooling 0.2% (22) 1.8% (1,563)
High School Diploma 17.4% (2,316) 18.7% (16,205)
Less than High School 2.3% (303) 18.3% (15,908)
Bachelor's Degree and Higher 21.4% (2,846) 20.3% (17,606)

Education Levels Comparison: Englewood vs Deerfield beach

  • In Deerfield beach, a larger percentage of residents lack formal schooling at 1.8% compared to 0.2% in Englewood.
  • In Deerfield beach, the rate of residents with high school diplomas is higher at 18.7% compared to 17.4% in Englewood.
  • The percentage of residents with less than a high school education is higher in Deerfield beach at 18.3%, compared to 2.3% in Englewood.
  • A higher percentage of residents in Englewood hold a bachelor's degree or higher at 21.4% 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.