Demographics details for Marianna, AR vs Pembroke pines, FL

Population Overview

Compare main population characteristics in Marianna, AR vs Pembroke pines, FL.

Data Marianna Pembroke pines
Population 3,432 169,876
Median Age 41.7 years 42.9 years
Median Income $21,057 $77,657
Married Families 16.0% 39.0%
Poverty Level 20% 10%
Unemployment Rate 5.2 3.2

Population Comparison: Marianna vs Pembroke pines

  • The population in Pembroke pines is higher at 169,876, compared to 3,432 in Marianna.
  • The median age in Pembroke pines is higher at 42.9 years, compared to 41.7 years in Marianna.
  • Pembroke pines has a higher median income of $77,657, compared to $21,057 in Marianna.
  • In Pembroke pines, the percentage of married families is higher at 39.0%, compared to 16.0% in Marianna.
  • Marianna has a higher poverty level at 20% compared to 10% in Pembroke pines.
  • The unemployment rate in Marianna is higher at 5.2%, compared to 3.2% in Pembroke pines.

Demographics

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

Demographic Marianna Pembroke pines
Black 84 21
White 14 9
Asian Data is updating 5
Hispanic Data is updating 47
Two or More Races 2 18
American Indian Data is updating Data is updating

Demographics Comparison: Marianna vs Pembroke pines

  • A higher percentage of Black residents are in Marianna at 84% compared to 21% in Pembroke pines.
  • Marianna has a higher percentage of White residents at 14% compared to 9% in Pembroke pines.
  • In Pembroke pines, the Asian population stands at 5%, greater than 0% in Marianna.
  • Pembroke pines has a higher percentage of Hispanic residents at 47%, compared to 0% in Marianna.
  • The percentage of residents identifying as two or more races is higher in Pembroke pines at 18%, compared to 2% in Marianna.
  • The percentage of American Indian residents is the same in both Marianna and Pembroke pines at 0%.

Health Statistics

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

Health Metric Marianna Pembroke pines
Mental Health Not Good 22.0% 14.4%
Physical Health Not Good 17.6% 9.7%
Depression 23.8% 16.0%
Smoking 28.5% 13.7%
Binge Drinking 10.9% 14.8%
Obesity 49.3% 28.3%
Disability Percentage 22.0% 10.0%

Health Statistics Comparison: Marianna vs Pembroke pines

  • More residents in Marianna report poor mental health at 22.0% compared to 14.4% in Pembroke pines.
  • Depression is more prevalent in Marianna at 23.8% compared to 16.0% in Pembroke pines.
  • Smoking is more prevalent in Marianna at 28.5% compared to 13.7% in Pembroke pines.
  • More residents engage in binge drinking in Pembroke pines at 14.8% compared to 10.9% in Marianna.
  • Obesity rates are higher in Marianna at 49.3% compared to 28.3% in Pembroke pines.
  • Disability percentages are higher in Marianna at 22.0% 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 Marianna Pembroke pines
No Schooling 0.3% (10) 1.3% (2,184)
High School Diploma 30.3% (1,041) 18.7% (31,781)
Less than High School 9.1% (312) 8.3% (14,103)
Bachelor's Degree and Higher 3.3% (113) 25.9% (43,973)

Education Levels Comparison: Marianna vs Pembroke pines

  • In Pembroke pines, a larger percentage of residents lack formal schooling at 1.3% compared to 0.3% in Marianna.
  • A higher percentage of residents in Marianna hold a high school diploma at 30.3% compared to 18.7% in Pembroke pines.
  • More residents in Marianna have less than a high school education at 9.1% 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 3.3% in Marianna.

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.