Demographics details for Pembroke pines, FL vs Olcott, NY

Population Overview

Compare main population characteristics in Pembroke pines, FL vs Olcott, NY.

Data Pembroke pines Olcott
Population 169,876 1,041
Median Age 42.9 years 47.1 years
Median Income $77,657 $70,606
Married Families 39.0% 29.0%
Poverty Level 10% 10%
Unemployment Rate 3.2 4.5

Population Comparison: Pembroke pines vs Olcott

  • In Pembroke pines, the population is higher at 169,876, compared to 1,041 in Olcott.
  • The median age in Olcott is higher at 47.1 years, compared to 42.9 years in Pembroke pines.
  • Pembroke pines has a higher median income of $77,657 compared to $70,606 in Olcott.
  • A higher percentage of married families is found in Pembroke pines at 39.0% compared to 29.0% in Olcott.
  • The poverty level is identical in both Pembroke pines and Olcott at 10%.
  • Olcott has a higher unemployment rate at 4.5% compared to 3.2% in Pembroke pines.

Demographics

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

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

Demographics Comparison: Pembroke pines vs Olcott

  • A higher percentage of Black residents are in Pembroke pines at 21% compared to 0% in Olcott.
  • The percentage of White residents is higher in Olcott at 99% compared to 9% in Pembroke pines.
  • The Asian population is larger in Pembroke pines at 5% compared to 0% in Olcott.
  • The Hispanic community is larger in Pembroke pines at 47% compared to 1% in Olcott.
  • More residents identify as two or more races in Pembroke pines at 18% compared to 0% in Olcott.
  • The percentage of American Indian residents is the same in both Pembroke pines and Olcott at 0%.

Health Statistics

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

Health Metric Pembroke pines Olcott
Mental Health Not Good 14.4% 17.6%
Physical Health Not Good 9.7% 11.6%
Depression 16.0% 26.7%
Smoking 13.7% 22.8%
Binge Drinking 14.8% 18.4%
Obesity 28.3% 35.9%
Disability Percentage 10.0% 11.0%

Health Statistics Comparison: Pembroke pines vs Olcott

  • In Olcott, a higher percentage report poor mental health at 17.6% compared to 14.4% in Pembroke pines.
  • Higher depression rates are seen in Olcott at 26.7% versus 16.0% in Pembroke pines.
  • Olcott has a higher smoking rate at 22.8% compared to 13.7% in Pembroke pines.
  • More residents engage in binge drinking in Olcott at 18.4% compared to 14.8% in Pembroke pines.
  • Olcott has higher obesity rates at 35.9% compared to 28.3% in Pembroke pines.
  • There is a higher percentage of disabled individuals in Olcott at 11.0% 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 Pembroke pines Olcott
No Schooling 1.3% (2,184) 0.0% (Data is updating)
High School Diploma 18.7% (31,781) 27.3% (284)
Less than High School 8.3% (14,103) 5.8% (60)
Bachelor's Degree and Higher 25.9% (43,973) 13.5% (141)

Education Levels Comparison: Pembroke pines vs Olcott

  • A higher percentage of residents in Pembroke pines have no formal schooling at 1.3% compared to 0.0% in Olcott.
  • In Olcott, the rate of residents with high school diplomas is higher at 27.3% compared to 18.7% in Pembroke pines.
  • More residents in Pembroke pines have less than a high school education at 8.3% compared to 5.8% in Olcott.
  • A higher percentage of residents in Pembroke pines hold a bachelor's degree or higher at 25.9% compared to 13.5% in Olcott.

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.