Demographics details for Pompano beach, FL vs Experiment, GA

Population Overview

Compare main population characteristics in Pompano beach, FL vs Experiment, GA.

Data Pompano beach Experiment
Population 112,302 2,578
Median Age 41.5 years 37.3 years
Median Income $61,155 $28,955
Married Families 33.0% 17.0%
Poverty Level 11% 13%
Unemployment Rate 3.8 4.2

Population Comparison: Pompano beach vs Experiment

  • In Pompano beach, the population is higher at 112,302, compared to 2,578 in Experiment.
  • Residents in Pompano beach have a higher median age of 41.5 years compared to 37.3 years in Experiment.
  • Pompano beach has a higher median income of $61,155 compared to $28,955 in Experiment.
  • A higher percentage of married families is found in Pompano beach at 33.0% compared to 17.0% in Experiment.
  • The poverty level is higher in Experiment at 13%, compared to 11% in Pompano beach.
  • Experiment has a higher unemployment rate at 4.2% compared to 3.8% in Pompano beach.

Demographics

Demographics Pompano beach vs Experiment provide insight into the diversity of the communities to compare.

Demographic Pompano beach Experiment
Black 30 55
White 30 38
Asian 2 Data is updating
Hispanic 24 6
Two or More Races 14 Data is updating
American Indian Data is updating 1

Demographics Comparison: Pompano beach vs Experiment

  • In Experiment, the percentage of Black residents is higher at 55% compared to 30% in Pompano beach.
  • The percentage of White residents is higher in Experiment at 38% compared to 30% in Pompano beach.
  • The Asian population is larger in Pompano beach at 2% compared to 0% in Experiment.
  • The Hispanic community is larger in Pompano beach at 24% compared to 6% in Experiment.
  • More residents identify as two or more races in Pompano beach at 14% compared to 0% in Experiment.
  • In Experiment, the percentage of American Indian residents is higher at 1%, compared to 0% in Pompano beach.

Health Statistics

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

Health Metric Pompano beach Experiment
Mental Health Not Good 16.7% 22.7%
Physical Health Not Good 12.2% 19.6%
Depression 18.1% 22.2%
Smoking 20.9% 31.3%
Binge Drinking 14.9% 11.8%
Obesity 31.4% 44.5%
Disability Percentage 13.0% 18.0%

Health Statistics Comparison: Pompano beach vs Experiment

  • In Experiment, a higher percentage report poor mental health at 22.7% compared to 16.7% in Pompano beach.
  • Higher depression rates are seen in Experiment at 22.2% versus 18.1% in Pompano beach.
  • Experiment has a higher smoking rate at 31.3% compared to 20.9% in Pompano beach.
  • Binge drinking is more common in Pompano beach at 14.9% compared to 11.8% in Experiment.
  • Experiment has higher obesity rates at 44.5% compared to 31.4% in Pompano beach.
  • There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 13.0% in Pompano beach.

Education Levels

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

Education Level Pompano beach Experiment
No Schooling 1.9% (2,095) 3.2% (83)
High School Diploma 18.0% (20,172) 29.1% (749)
Less than High School 17.1% (19,168) 33.7% (869)
Bachelor's Degree and Higher 22.2% (24,905) 3.8% (98)

Education Levels Comparison: Pompano beach vs Experiment

  • In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 1.9% in Pompano beach.
  • In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 18.0% in Pompano beach.
  • The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 17.1% in Pompano beach.
  • A higher percentage of residents in Pompano beach hold a bachelor's degree or higher at 22.2% compared to 3.8% in Experiment.

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.