Demographics details for Coconut creek, FL vs Cuyahoga falls, OH

Population Overview

Compare main population characteristics in Coconut creek, FL vs Cuyahoga falls, OH.

Data Coconut creek Cuyahoga falls
Population 57,348 50,655
Median Age 42.4 years 37.8 years
Median Income $72,740 $67,922
Married Families 37.0% 41.0%
Poverty Level 10% 7%
Unemployment Rate 3.2 4.8

Population Comparison: Coconut creek vs Cuyahoga falls

  • In Coconut creek, the population is higher at 57,348, compared to 50,655 in Cuyahoga falls.
  • Residents in Coconut creek have a higher median age of 42.4 years compared to 37.8 years in Cuyahoga falls.
  • Coconut creek has a higher median income of $72,740 compared to $67,922 in Cuyahoga falls.
  • In Cuyahoga falls, the percentage of married families is higher at 41.0%, compared to 37.0% in Coconut creek.
  • Coconut creek has a higher poverty level at 10% compared to 7% in Cuyahoga falls.
  • Cuyahoga falls has a higher unemployment rate at 4.8% compared to 3.2% in Coconut creek.

Demographics

Demographics Coconut creek vs Cuyahoga falls provide insight into the diversity of the communities to compare.

Demographic Coconut creek Cuyahoga falls
Black 15 5
White 39 81
Asian 3 6
Hispanic 27 3
Two or More Races 16 5
American Indian Data is updating Data is updating

Demographics Comparison: Coconut creek vs Cuyahoga falls

  • A higher percentage of Black residents are in Coconut creek at 15% compared to 5% in Cuyahoga falls.
  • The percentage of White residents is higher in Cuyahoga falls at 81% compared to 39% in Coconut creek.
  • In Cuyahoga falls, the Asian population stands at 6%, greater than 3% in Coconut creek.
  • The Hispanic community is larger in Coconut creek at 27% compared to 3% in Cuyahoga falls.
  • More residents identify as two or more races in Coconut creek at 16% compared to 5% in Cuyahoga falls.
  • The percentage of American Indian residents is the same in both Coconut creek and Cuyahoga falls at 0%.

Health Statistics

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

Health Metric Coconut creek Cuyahoga falls
Mental Health Not Good 15.4% 17.1%
Physical Health Not Good 9.9% 11.1%
Depression 17.8% 25.1%
Smoking 16.2% 18.5%
Binge Drinking 15.6% 18.8%
Obesity 27.5% 41.1%
Disability Percentage 11.0% 13.0%

Health Statistics Comparison: Coconut creek vs Cuyahoga falls

  • In Cuyahoga falls, a higher percentage report poor mental health at 17.1% compared to 15.4% in Coconut creek.
  • Higher depression rates are seen in Cuyahoga falls at 25.1% versus 17.8% in Coconut creek.
  • Cuyahoga falls has a higher smoking rate at 18.5% compared to 16.2% in Coconut creek.
  • More residents engage in binge drinking in Cuyahoga falls at 18.8% compared to 15.6% in Coconut creek.
  • Cuyahoga falls has higher obesity rates at 41.1% compared to 27.5% in Coconut creek.
  • There is a higher percentage of disabled individuals in Cuyahoga falls at 13.0% compared to 11.0% in Coconut creek.

Education Levels

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

Education Level Coconut creek Cuyahoga falls
No Schooling 1.4% (831) 1.6% (825)
High School Diploma 16.6% (9,506) 19.4% (9,813)
Less than High School 8.9% (5,111) 6.3% (3,197)
Bachelor's Degree and Higher 26.5% (15,196) 26.1% (13,215)

Education Levels Comparison: Coconut creek vs Cuyahoga falls

  • In Cuyahoga falls, a larger percentage of residents lack formal schooling at 1.6% compared to 1.4% in Coconut creek.
  • In Cuyahoga falls, the rate of residents with high school diplomas is higher at 19.4% compared to 16.6% in Coconut creek.
  • More residents in Coconut creek have less than a high school education at 8.9% compared to 6.3% in Cuyahoga falls.
  • A higher percentage of residents in Coconut creek hold a bachelor's degree or higher at 26.5% compared to 26.1% in Cuyahoga falls.

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.