Demographics details for Pompano beach, FL vs Hampton, GA
Population Overview
Compare main population characteristics in Pompano beach, FL vs Hampton, GA.
Data | Pompano beach | Hampton |
---|---|---|
Population | 112,302 | 8,267 |
Median Age | 41.5 years | 32.9 years |
Median Income | $61,155 | $67,808 |
Married Families | 33.0% | 33.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 3.8 | 4.0 |
Population Comparison: Pompano beach vs Hampton
- In Pompano beach, the population is higher at 112,302, compared to 8,267 in Hampton.
- Residents in Pompano beach have a higher median age of 41.5 years compared to 32.9 years in Hampton.
- Hampton has a higher median income of $67,808, compared to $61,155 in Pompano beach.
- The percentage of married families is the same in both Pompano beach and Hampton at 33.0%.
- Pompano beach has a higher poverty level at 11% compared to 10% in Hampton.
- Hampton has a higher unemployment rate at 4.0% compared to 3.8% in Pompano beach.
Demographics
Demographics Pompano beach vs Hampton provide insight into the diversity of the communities to compare.
Demographic | Pompano beach | Hampton |
---|---|---|
Black | 30 | 58 |
White | 30 | 35 |
Asian | 2 | Data is updating |
Hispanic | 24 | 4 |
Two or More Races | 14 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pompano beach vs Hampton
- In Hampton, the percentage of Black residents is higher at 58% compared to 30% in Pompano beach.
- The percentage of White residents is higher in Hampton at 35% compared to 30% in Pompano beach.
- The Asian population is larger in Pompano beach at 2% compared to 0% in Hampton.
- The Hispanic community is larger in Pompano beach at 24% compared to 4% in Hampton.
- More residents identify as two or more races in Pompano beach at 14% compared to 3% in Hampton.
- The percentage of American Indian residents is the same in both Pompano beach and Hampton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pompano beach | Hampton |
---|---|---|
Mental Health Not Good | 16.7% | 16.2% |
Physical Health Not Good | 12.2% | 11.2% |
Depression | 18.1% | 20.7% |
Smoking | 20.9% | 15.5% |
Binge Drinking | 14.9% | 16.5% |
Obesity | 31.4% | 37.0% |
Disability Percentage | 13.0% | 6.0% |
Health Statistics Comparison: Pompano beach vs Hampton
- More residents in Pompano beach report poor mental health at 16.7% compared to 16.2% in Hampton.
- Higher depression rates are seen in Hampton at 20.7% versus 18.1% in Pompano beach.
- Smoking is more prevalent in Pompano beach at 20.9% compared to 15.5% in Hampton.
- More residents engage in binge drinking in Hampton at 16.5% compared to 14.9% in Pompano beach.
- Hampton has higher obesity rates at 37.0% compared to 31.4% in Pompano beach.
- Disability percentages are higher in Pompano beach at 13.0% compared to 6.0% in Hampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pompano beach | Hampton |
---|---|---|
No Schooling | 1.9% (2,095) | 0.0% (Data is updating) |
High School Diploma | 18.0% (20,172) | 19.6% (1,619) |
Less than High School | 17.1% (19,168) | 3.5% (293) |
Bachelor's Degree and Higher | 22.2% (24,905) | 13.8% (1,140) |
Education Levels Comparison: Pompano beach vs Hampton
- A higher percentage of residents in Pompano beach have no formal schooling at 1.9% compared to 0.0% in Hampton.
- In Hampton, the rate of residents with high school diplomas is higher at 19.6% compared to 18.0% in Pompano beach.
- More residents in Pompano beach have less than a high school education at 17.1% compared to 3.5% in Hampton.
- A higher percentage of residents in Pompano beach hold a bachelor's degree or higher at 22.2% compared to 13.8% in Hampton.
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.