Demographics details for Experiment, GA vs Panama city beach, FL

Population Overview

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

Data Experiment Panama city beach
Population 2,578 19,056
Median Age 37.3 years 45.3 years
Median Income $28,955 $76,091
Married Families 17.0% 42.0%
Poverty Level 13% 10%
Unemployment Rate 4.2 4.1

Population Comparison: Experiment vs Panama city beach

  • The population in Panama city beach is higher at 19,056, compared to 2,578 in Experiment.
  • The median age in Panama city beach is higher at 45.3 years, compared to 37.3 years in Experiment.
  • Panama city beach has a higher median income of $76,091, compared to $28,955 in Experiment.
  • In Panama city beach, the percentage of married families is higher at 42.0%, compared to 17.0% in Experiment.
  • Experiment has a higher poverty level at 13% compared to 10% in Panama city beach.
  • The unemployment rate in Experiment is higher at 4.2%, compared to 4.1% in Panama city beach.

Demographics

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

Demographic Experiment Panama city beach
Black 55 8
White 38 77
Asian Data is updating 1
Hispanic 6 8
Two or More Races Data is updating 5
American Indian 1 1

Demographics Comparison: Experiment vs Panama city beach

  • A higher percentage of Black residents are in Experiment at 55% compared to 8% in Panama city beach.
  • The percentage of White residents is higher in Panama city beach at 77% compared to 38% in Experiment.
  • In Panama city beach, the Asian population stands at 1%, greater than 0% in Experiment.
  • Panama city beach has a higher percentage of Hispanic residents at 8%, compared to 6% in Experiment.
  • The percentage of residents identifying as two or more races is higher in Panama city beach at 5%, compared to 0% in Experiment.
  • The percentage of American Indian residents is the same in both Experiment and Panama city beach at 1%.

Health Statistics

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

Health Metric Experiment Panama city beach
Mental Health Not Good 22.7% 15.6%
Physical Health Not Good 19.6% 9.7%
Depression 22.2% 20.9%
Smoking 31.3% 17.8%
Binge Drinking 11.8% 18.0%
Obesity 44.5% 27.3%
Disability Percentage 18.0% 12.0%

Health Statistics Comparison: Experiment vs Panama city beach

  • More residents in Experiment report poor mental health at 22.7% compared to 15.6% in Panama city beach.
  • Depression is more prevalent in Experiment at 22.2% compared to 20.9% in Panama city beach.
  • Smoking is more prevalent in Experiment at 31.3% compared to 17.8% in Panama city beach.
  • More residents engage in binge drinking in Panama city beach at 18.0% compared to 11.8% in Experiment.
  • Obesity rates are higher in Experiment at 44.5% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Experiment at 18.0% compared to 12.0% in Panama city beach.

Education Levels

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

Education Level Experiment Panama city beach
No Schooling 3.2% (83) 1.4% (262)
High School Diploma 29.1% (749) 12.8% (2,447)
Less than High School 33.7% (869) 10.0% (1,899)
Bachelor's Degree and Higher 3.8% (98) 24.6% (4,680)

Education Levels Comparison: Experiment vs Panama city beach

  • A higher percentage of residents in Experiment have no formal schooling at 3.2% compared to 1.4% in Panama city beach.
  • A higher percentage of residents in Experiment hold a high school diploma at 29.1% compared to 12.8% in Panama city beach.
  • More residents in Experiment have less than a high school education at 33.7% compared to 10.0% in Panama city beach.
  • In Panama city beach, a larger share of residents have a bachelor's degree or higher at 24.6% 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.