Demographics details for Fishtail, MT vs Pembroke pines, FL

Population Overview

Compare main population characteristics in Fishtail, MT vs Pembroke pines, FL.

Data Fishtail Pembroke pines
Population 478 169,876
Median Age 35.0 years 42.9 years
Median Income $60,000 $77,657
Married Families 50.0% 39.0%
Poverty Level 10% 10%
Unemployment Rate 5.0 3.2

Population Comparison: Fishtail vs Pembroke pines

  • The population in Pembroke pines is higher at 169,876, compared to 478 in Fishtail.
  • The median age in Pembroke pines is higher at 42.9 years, compared to 35.0 years in Fishtail.
  • Pembroke pines has a higher median income of $77,657, compared to $60,000 in Fishtail.
  • A higher percentage of married families is found in Fishtail at 50.0% compared to 39.0% in Pembroke pines.
  • The poverty level is identical in both Fishtail and Pembroke pines at 10%.
  • The unemployment rate in Fishtail is higher at 5.0%, compared to 3.2% in Pembroke pines.

Demographics

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

Demographic Fishtail Pembroke pines
Black 1 21
White 95 9
Asian 1 5
Hispanic 1 47
Two or More Races 2 18
American Indian Data is updating Data is updating

Demographics Comparison: Fishtail vs Pembroke pines

  • In Pembroke pines, the percentage of Black residents is higher at 21% compared to 1% in Fishtail.
  • Fishtail has a higher percentage of White residents at 95% compared to 9% in Pembroke pines.
  • In Pembroke pines, the Asian population stands at 5%, greater than 1% in Fishtail.
  • Pembroke pines has a higher percentage of Hispanic residents at 47%, compared to 1% in Fishtail.
  • The percentage of residents identifying as two or more races is higher in Pembroke pines at 18%, compared to 2% in Fishtail.
  • The percentage of American Indian residents is the same in both Fishtail and Pembroke pines at 0%.

Health Statistics

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

Health Metric Fishtail Pembroke pines
Mental Health Not Good Data is updating% 14.4%
Physical Health Not Good Data is updating% 9.7%
Depression Data is updating% 16.0%
Smoking Data is updating% 13.7%
Binge Drinking Data is updating% 14.8%
Obesity Data is updating% 28.3%
Disability Percentage Data is updating% 10.0%

Health Statistics Comparison: Fishtail vs Pembroke pines

  • In Pembroke pines, a higher percentage report poor mental health at 14.4% compared to 0.0% in Fishtail.
  • Higher depression rates are seen in Pembroke pines at 16.0% versus 0.0% in Fishtail.
  • Pembroke pines has a higher smoking rate at 13.7% compared to 0.0% in Fishtail.
  • More residents engage in binge drinking in Pembroke pines at 14.8% compared to 0.0% in Fishtail.
  • Pembroke pines has higher obesity rates at 28.3% compared to 0.0% in Fishtail.
  • There is a higher percentage of disabled individuals in Pembroke pines at 10.0% compared to 0.0% in Fishtail.

Education Levels

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

Education Level Fishtail Pembroke pines
No Schooling 0.0% (Data is updating) 1.3% (2,184)
High School Diploma 0.0% (Data is updating) 18.7% (31,781)
Less than High School 0.0% (Data is updating) 8.3% (14,103)
Bachelor's Degree and Higher 0.0% (Data is updating) 25.9% (43,973)

Education Levels Comparison: Fishtail vs Pembroke pines

  • In Pembroke pines, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Fishtail.
  • In Pembroke pines, the rate of residents with high school diplomas is higher at 18.7% compared to 0.0% in Fishtail.
  • The percentage of residents with less than a high school education is higher in Pembroke pines at 8.3%, compared to 0.0% in Fishtail.
  • In Pembroke pines, a larger share of residents have a bachelor's degree or higher at 25.9% compared to 0.0% in Fishtail.

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.