Demographics details for Coconut creek, FL vs College park, MD

Population Overview

Compare main population characteristics in Coconut creek, FL vs College park, MD.

Data Coconut creek College park
Population 57,348 34,190
Median Age 42.4 years 21.6 years
Median Income $72,740 $76,973
Married Families 37.0% 17.0%
Poverty Level 10% 10%
Unemployment Rate 3.2 5.5

Population Comparison: Coconut creek vs College park

  • In Coconut creek, the population is higher at 57,348, compared to 34,190 in College park.
  • Residents in Coconut creek have a higher median age of 42.4 years compared to 21.6 years in College park.
  • College park has a higher median income of $76,973, compared to $72,740 in Coconut creek.
  • A higher percentage of married families is found in Coconut creek at 37.0% compared to 17.0% in College park.
  • The poverty level is identical in both Coconut creek and College park at 10%.
  • College park has a higher unemployment rate at 5.5% compared to 3.2% in Coconut creek.

Demographics

Demographics Coconut creek vs College park provide insight into the diversity of the communities to compare.

Demographic Coconut creek College park
Black 15 23
White 39 39
Asian 3 14
Hispanic 27 17
Two or More Races 16 7
American Indian Data is updating Data is updating

Demographics Comparison: Coconut creek vs College park

  • In College park, the percentage of Black residents is higher at 23% compared to 15% in Coconut creek.
  • The percentage of White residents is the same in both Coconut creek and College park at 39%.
  • In College park, the Asian population stands at 14%, greater than 3% in Coconut creek.
  • The Hispanic community is larger in Coconut creek at 27% compared to 17% in College park.
  • More residents identify as two or more races in Coconut creek at 16% compared to 7% in College park.
  • The percentage of American Indian residents is the same in both Coconut creek and College park at 0%.

Health Statistics

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

Health Metric Coconut creek College park
Mental Health Not Good 15.4% 14.8%
Physical Health Not Good 9.9% 10.0%
Depression 17.8% 15.4%
Smoking 16.2% 12.4%
Binge Drinking 15.6% 12.8%
Obesity 27.5% 36.4%
Disability Percentage 11.0% 5.0%

Health Statistics Comparison: Coconut creek vs College park

  • More residents in Coconut creek report poor mental health at 15.4% compared to 14.8% in College park.
  • Depression is more prevalent in Coconut creek at 17.8% compared to 15.4% in College park.
  • Smoking is more prevalent in Coconut creek at 16.2% compared to 12.4% in College park.
  • Binge drinking is more common in Coconut creek at 15.6% compared to 12.8% in College park.
  • College park has higher obesity rates at 36.4% compared to 27.5% in Coconut creek.
  • Disability percentages are higher in Coconut creek at 11.0% compared to 5.0% in College park.

Education Levels

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

Education Level Coconut creek College park
No Schooling 1.4% (831) 1.9% (657)
High School Diploma 16.6% (9,506) 6.4% (2,199)
Less than High School 8.9% (5,111) 9.4% (3,210)
Bachelor's Degree and Higher 26.5% (15,196) 19.8% (6,769)

Education Levels Comparison: Coconut creek vs College park

  • In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 1.4% in Coconut creek.
  • A higher percentage of residents in Coconut creek hold a high school diploma at 16.6% compared to 6.4% in College park.
  • The percentage of residents with less than a high school education is higher in College park at 9.4%, compared to 8.9% in Coconut creek.
  • A higher percentage of residents in Coconut creek hold a bachelor's degree or higher at 26.5% compared to 19.8% in College park.

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.