Demographics details for Pompano beach, FL vs Frankfort, KY
Population Overview
Compare main population characteristics in Pompano beach, FL vs Frankfort, KY.
Data | Pompano beach | Frankfort |
---|---|---|
Population | 112,302 | 28,391 |
Median Age | 41.5 years | 34.2 years |
Median Income | $61,155 | $53,905 |
Married Families | 33.0% | 31.0% |
Poverty Level | 11% | 12% |
Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Pompano beach vs Frankfort
- In Pompano beach, the population is higher at 112,302, compared to 28,391 in Frankfort.
- Residents in Pompano beach have a higher median age of 41.5 years compared to 34.2 years in Frankfort.
- Pompano beach has a higher median income of $61,155 compared to $53,905 in Frankfort.
- A higher percentage of married families is found in Pompano beach at 33.0% compared to 31.0% in Frankfort.
- The poverty level is higher in Frankfort at 12%, compared to 11% in Pompano beach.
- Frankfort has a higher unemployment rate at 4.5% compared to 3.8% in Pompano beach.
Demographics
Demographics Pompano beach vs Frankfort provide insight into the diversity of the communities to compare.
Demographic | Pompano beach | Frankfort |
---|---|---|
Black | 30 | 12 |
White | 30 | 71 |
Asian | 2 | 3 |
Hispanic | 24 | 6 |
Two or More Races | 14 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pompano beach vs Frankfort
- A higher percentage of Black residents are in Pompano beach at 30% compared to 12% in Frankfort.
- The percentage of White residents is higher in Frankfort at 71% compared to 30% in Pompano beach.
- In Frankfort, the Asian population stands at 3%, greater than 2% in Pompano beach.
- The Hispanic community is larger in Pompano beach at 24% compared to 6% in Frankfort.
- More residents identify as two or more races in Pompano beach at 14% compared to 8% in Frankfort.
- The percentage of American Indian residents is the same in both Pompano beach and Frankfort at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pompano beach | Frankfort |
---|---|---|
Mental Health Not Good | 16.7% | 18.1% |
Physical Health Not Good | 12.2% | 13.0% |
Depression | 18.1% | 26.4% |
Smoking | 20.9% | 19.4% |
Binge Drinking | 14.9% | 14.5% |
Obesity | 31.4% | 38.6% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Pompano beach vs Frankfort
- In Frankfort, a higher percentage report poor mental health at 18.1% compared to 16.7% in Pompano beach.
- Higher depression rates are seen in Frankfort at 26.4% versus 18.1% in Pompano beach.
- Smoking is more prevalent in Pompano beach at 20.9% compared to 19.4% in Frankfort.
- Binge drinking is more common in Pompano beach at 14.9% compared to 14.5% in Frankfort.
- Frankfort has higher obesity rates at 38.6% compared to 31.4% in Pompano beach.
- There is a higher percentage of disabled individuals in Frankfort at 16.0% 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 | Frankfort |
---|---|---|
No Schooling | 1.9% (2,095) | 0.3% (89) |
High School Diploma | 18.0% (20,172) | 15.3% (4,339) |
Less than High School | 17.1% (19,168) | 11.5% (3,279) |
Bachelor's Degree and Higher | 22.2% (24,905) | 18.7% (5,295) |
Education Levels Comparison: Pompano beach vs Frankfort
- A higher percentage of residents in Pompano beach have no formal schooling at 1.9% compared to 0.3% in Frankfort.
- A higher percentage of residents in Pompano beach hold a high school diploma at 18.0% compared to 15.3% in Frankfort.
- More residents in Pompano beach have less than a high school education at 17.1% compared to 11.5% in Frankfort.
- A higher percentage of residents in Pompano beach hold a bachelor's degree or higher at 22.2% compared to 18.7% in Frankfort.
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.