Demographics details for Fountain run, KY vs Pembroke pines, FL

Population Overview

Compare main population characteristics in Fountain run, KY vs Pembroke pines, FL.

Data Fountain run Pembroke pines
Population 221 169,876
Median Age 49.1 years 42.9 years
Median Income $38,750 $77,657
Married Families 62.0% 39.0%
Poverty Level 12% 10%
Unemployment Rate 3.2 3.2

Population Comparison: Fountain run vs Pembroke pines

  • The population in Pembroke pines is higher at 169,876, compared to 221 in Fountain run.
  • Residents in Fountain run have a higher median age of 49.1 years compared to 42.9 years in Pembroke pines.
  • Pembroke pines has a higher median income of $77,657, compared to $38,750 in Fountain run.
  • A higher percentage of married families is found in Fountain run at 62.0% compared to 39.0% in Pembroke pines.
  • Fountain run has a higher poverty level at 12% compared to 10% in Pembroke pines.
  • The unemployment rate is the same in both Fountain run and Pembroke pines at 3.2%.

Demographics

Demographics Fountain run vs Pembroke pines provide insight into the diversity of the communities to compare.

Demographic Fountain run Pembroke pines
Black 1 21
White 99 9
Asian Data is updating 5
Hispanic Data is updating 47
Two or More Races Data is updating 18
American Indian Data is updating Data is updating

Demographics Comparison: Fountain run vs Pembroke pines

  • In Pembroke pines, the percentage of Black residents is higher at 21% compared to 1% in Fountain run.
  • Fountain run has a higher percentage of White residents at 99% compared to 9% in Pembroke pines.
  • In Pembroke pines, the Asian population stands at 5%, greater than 0% in Fountain run.
  • Pembroke pines has a higher percentage of Hispanic residents at 47%, compared to 0% in Fountain run.
  • The percentage of residents identifying as two or more races is higher in Pembroke pines at 18%, compared to 0% in Fountain run.
  • The percentage of American Indian residents is the same in both Fountain run and Pembroke pines at 0%.

Health Statistics

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

Health Metric Fountain run Pembroke pines
Mental Health Not Good 22.1% 14.4%
Physical Health Not Good 17.4% 9.7%
Depression 30.6% 16.0%
Smoking 29.1% 13.7%
Binge Drinking 14.2% 14.8%
Obesity 41.1% 28.3%
Disability Percentage 24.0% 10.0%

Health Statistics Comparison: Fountain run vs Pembroke pines

  • More residents in Fountain run report poor mental health at 22.1% compared to 14.4% in Pembroke pines.
  • Depression is more prevalent in Fountain run at 30.6% compared to 16.0% in Pembroke pines.
  • Smoking is more prevalent in Fountain run at 29.1% compared to 13.7% in Pembroke pines.
  • More residents engage in binge drinking in Pembroke pines at 14.8% compared to 14.2% in Fountain run.
  • Obesity rates are higher in Fountain run at 41.1% compared to 28.3% in Pembroke pines.
  • Disability percentages are higher in Fountain run at 24.0% compared to 10.0% in Pembroke pines.

Education Levels

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

Education Level Fountain run Pembroke pines
No Schooling 1.8% (4) 1.3% (2,184)
High School Diploma 42.1% (93) 18.7% (31,781)
Less than High School 48.9% (108) 8.3% (14,103)
Bachelor's Degree and Higher 10.9% (24) 25.9% (43,973)

Education Levels Comparison: Fountain run vs Pembroke pines

  • A higher percentage of residents in Fountain run have no formal schooling at 1.8% compared to 1.3% in Pembroke pines.
  • A higher percentage of residents in Fountain run hold a high school diploma at 42.1% compared to 18.7% in Pembroke pines.
  • More residents in Fountain run have less than a high school education at 48.9% compared to 8.3% in Pembroke pines.
  • In Pembroke pines, a larger share of residents have a bachelor's degree or higher at 25.9% compared to 10.9% in Fountain run.

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.