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

Population Overview

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

Data Panama city beach Griffin
Population 19,056 23,693
Median Age 45.3 years 33.2 years
Median Income $76,091 $42,047
Married Families 42.0% 26.0%
Poverty Level 10% 15%
Unemployment Rate 4.1 4.5

Population Comparison: Panama city beach vs Griffin

  • The population in Griffin is higher at 23,693, compared to 19,056 in Panama city beach.
  • Residents in Panama city beach have a higher median age of 45.3 years compared to 33.2 years in Griffin.
  • Panama city beach has a higher median income of $76,091 compared to $42,047 in Griffin.
  • A higher percentage of married families is found in Panama city beach at 42.0% compared to 26.0% in Griffin.
  • The poverty level is higher in Griffin at 15%, compared to 10% in Panama city beach.
  • Griffin has a higher unemployment rate at 4.5% compared to 4.1% in Panama city beach.

Demographics

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

Demographic Panama city beach Griffin
Black 8 52
White 77 36
Asian 1 1
Hispanic 8 5
Two or More Races 5 5
American Indian 1 1

Demographics Comparison: Panama city beach vs Griffin

  • In Griffin, the percentage of Black residents is higher at 52% compared to 8% in Panama city beach.
  • Panama city beach has a higher percentage of White residents at 77% compared to 36% in Griffin.
  • Both Panama city beach and Griffin have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Panama city beach at 8% compared to 5% in Griffin.
  • Both Panama city beach and Griffin have the same percentage of residents identifying as two or more races at 5%.
  • The percentage of American Indian residents is the same in both Panama city beach and Griffin at 1%.

Health Statistics

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

Health Metric Panama city beach Griffin
Mental Health Not Good 15.6% 18.8%
Physical Health Not Good 9.7% 14.6%
Depression 20.9% 19.7%
Smoking 17.8% 22.4%
Binge Drinking 18.0% 13.4%
Obesity 27.3% 38.8%
Disability Percentage 12.0% 13.0%

Health Statistics Comparison: Panama city beach vs Griffin

  • In Griffin, a higher percentage report poor mental health at 18.8% compared to 15.6% in Panama city beach.
  • Depression is more prevalent in Panama city beach at 20.9% compared to 19.7% in Griffin.
  • Griffin has a higher smoking rate at 22.4% compared to 17.8% in Panama city beach.
  • Binge drinking is more common in Panama city beach at 18.0% compared to 13.4% in Griffin.
  • Griffin has higher obesity rates at 38.8% compared to 27.3% in Panama city beach.
  • There is a higher percentage of disabled individuals in Griffin at 13.0% 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 Panama city beach Griffin
No Schooling 1.4% (262) 2.2% (517)
High School Diploma 12.8% (2,447) 22.6% (5,347)
Less than High School 10.0% (1,899) 16.3% (3,859)
Bachelor's Degree and Higher 24.6% (4,680) 11.9% (2,819)

Education Levels Comparison: Panama city beach vs Griffin

  • In Griffin, a larger percentage of residents lack formal schooling at 2.2% compared to 1.4% in Panama city beach.
  • In Griffin, the rate of residents with high school diplomas is higher at 22.6% compared to 12.8% in Panama city beach.
  • The percentage of residents with less than a high school education is higher in Griffin at 16.3%, compared to 10.0% in Panama city beach.
  • A higher percentage of residents in Panama city beach hold a bachelor's degree or higher at 24.6% compared to 11.9% in Griffin.

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.