Demographics details for Coconut creek, FL vs Sand coulee, MT

Population Overview

Compare main population characteristics in Coconut creek, FL vs Sand coulee, MT.

Data Coconut creek Sand coulee
Population 57,348 223
Median Age 42.4 years 43.9 years
Median Income $72,740 $74,091
Married Families 37.0% 54.0%
Poverty Level 10% 7%
Unemployment Rate 3.2 2.5

Population Comparison: Coconut creek vs Sand coulee

  • In Coconut creek, the population is higher at 57,348, compared to 223 in Sand coulee.
  • The median age in Sand coulee is higher at 43.9 years, compared to 42.4 years in Coconut creek.
  • Sand coulee has a higher median income of $74,091, compared to $72,740 in Coconut creek.
  • In Sand coulee, the percentage of married families is higher at 54.0%, compared to 37.0% in Coconut creek.
  • Coconut creek has a higher poverty level at 10% compared to 7% in Sand coulee.
  • The unemployment rate in Coconut creek is higher at 3.2%, compared to 2.5% in Sand coulee.

Demographics

Demographics Coconut creek vs Sand coulee provide insight into the diversity of the communities to compare.

Demographic Coconut creek Sand coulee
Black 15 Data is updating
White 39 83
Asian 3 1
Hispanic 27 8
Two or More Races 16 8
American Indian Data is updating Data is updating

Demographics Comparison: Coconut creek vs Sand coulee

  • A higher percentage of Black residents are in Coconut creek at 15% compared to 0% in Sand coulee.
  • The percentage of White residents is higher in Sand coulee at 83% compared to 39% in Coconut creek.
  • The Asian population is larger in Coconut creek at 3% compared to 1% in Sand coulee.
  • The Hispanic community is larger in Coconut creek at 27% compared to 8% in Sand coulee.
  • More residents identify as two or more races in Coconut creek at 16% compared to 8% in Sand coulee.
  • The percentage of American Indian residents is the same in both Coconut creek and Sand coulee at 0%.

Health Statistics

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

Health Metric Coconut creek Sand coulee
Mental Health Not Good 15.4% 16.3%
Physical Health Not Good 9.9% 10.8%
Depression 17.8% 24.3%
Smoking 16.2% 17.5%
Binge Drinking 15.6% 22.4%
Obesity 27.5% 34.6%
Disability Percentage 11.0% 9.0%

Health Statistics Comparison: Coconut creek vs Sand coulee

  • In Sand coulee, a higher percentage report poor mental health at 16.3% compared to 15.4% in Coconut creek.
  • Higher depression rates are seen in Sand coulee at 24.3% versus 17.8% in Coconut creek.
  • Sand coulee has a higher smoking rate at 17.5% compared to 16.2% in Coconut creek.
  • More residents engage in binge drinking in Sand coulee at 22.4% compared to 15.6% in Coconut creek.
  • Sand coulee has higher obesity rates at 34.6% compared to 27.5% in Coconut creek.
  • Disability percentages are higher in Coconut creek at 11.0% compared to 9.0% in Sand coulee.

Education Levels

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

Education Level Coconut creek Sand coulee
No Schooling 1.4% (831) 0.0% (Data is updating)
High School Diploma 16.6% (9,506) 22.0% (49)
Less than High School 8.9% (5,111) 16.1% (36)
Bachelor's Degree and Higher 26.5% (15,196) 22.9% (51)

Education Levels Comparison: Coconut creek vs Sand coulee

  • A higher percentage of residents in Coconut creek have no formal schooling at 1.4% compared to 0.0% in Sand coulee.
  • In Sand coulee, the rate of residents with high school diplomas is higher at 22.0% compared to 16.6% in Coconut creek.
  • The percentage of residents with less than a high school education is higher in Sand coulee at 16.1%, 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 22.9% in Sand coulee.

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.