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.