Demographics details for Mountain home, ID vs Coconut creek, FL

Population Overview

Compare main population characteristics in Mountain home, ID vs Coconut creek, FL.

Data Mountain home Coconut creek
Population 16,469 57,348
Median Age 31.3 years 42.4 years
Median Income $53,108 $72,740
Married Families 36.0% 37.0%
Poverty Level 12% 10%
Unemployment Rate 3.1 3.2

Population Comparison: Mountain home vs Coconut creek

  • The population in Coconut creek is higher at 57,348, compared to 16,469 in Mountain home.
  • The median age in Coconut creek is higher at 42.4 years, compared to 31.3 years in Mountain home.
  • Coconut creek has a higher median income of $72,740, compared to $53,108 in Mountain home.
  • In Coconut creek, the percentage of married families is higher at 37.0%, compared to 36.0% in Mountain home.
  • Mountain home has a higher poverty level at 12% compared to 10% in Coconut creek.
  • Coconut creek has a higher unemployment rate at 3.2% compared to 3.1% in Mountain home.

Demographics

Demographics Mountain home vs Coconut creek provide insight into the diversity of the communities to compare.

Demographic Mountain home Coconut creek
Black 2 15
White 69 39
Asian 4 3
Hispanic 14 27
Two or More Races 9 16
American Indian 2 Data is updating

Demographics Comparison: Mountain home vs Coconut creek

  • In Coconut creek, the percentage of Black residents is higher at 15% compared to 2% in Mountain home.
  • Mountain home has a higher percentage of White residents at 69% compared to 39% in Coconut creek.
  • The Asian population is larger in Mountain home at 4% compared to 3% in Coconut creek.
  • Coconut creek has a higher percentage of Hispanic residents at 27%, compared to 14% in Mountain home.
  • The percentage of residents identifying as two or more races is higher in Coconut creek at 16%, compared to 9% in Mountain home.
  • A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Coconut creek.

Health Statistics

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

Health Metric Mountain home Coconut creek
Mental Health Not Good 16.9% 15.4%
Physical Health Not Good 12.6% 9.9%
Depression 22.4% 17.8%
Smoking 18.3% 16.2%
Binge Drinking 15.8% 15.6%
Obesity 36.1% 27.5%
Disability Percentage 18.0% 11.0%

Health Statistics Comparison: Mountain home vs Coconut creek

  • More residents in Mountain home report poor mental health at 16.9% compared to 15.4% in Coconut creek.
  • Depression is more prevalent in Mountain home at 22.4% compared to 17.8% in Coconut creek.
  • Smoking is more prevalent in Mountain home at 18.3% compared to 16.2% in Coconut creek.
  • Binge drinking is more common in Mountain home at 15.8% compared to 15.6% in Coconut creek.
  • Obesity rates are higher in Mountain home at 36.1% compared to 27.5% in Coconut creek.
  • Disability percentages are higher in Mountain home at 18.0% 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 Mountain home Coconut creek
No Schooling 1.7% (273) 1.4% (831)
High School Diploma 16.3% (2,690) 16.6% (9,506)
Less than High School 12.8% (2,116) 8.9% (5,111)
Bachelor's Degree and Higher 10.4% (1,720) 26.5% (15,196)

Education Levels Comparison: Mountain home vs Coconut creek

  • A higher percentage of residents in Mountain home have no formal schooling at 1.7% compared to 1.4% in Coconut creek.
  • In Coconut creek, the rate of residents with high school diplomas is higher at 16.6% compared to 16.3% in Mountain home.
  • More residents in Mountain home have less than a high school education at 12.8% compared to 8.9% in Coconut creek.
  • In Coconut creek, a larger share of residents have a bachelor's degree or higher at 26.5% compared to 10.4% in Mountain home.

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.