Demographics details for Gainesville, GA vs Hampton, VA
Population Overview
Compare main population characteristics in Gainesville, GA vs Hampton, VA.
| Data | Gainesville | Hampton |
|---|---|---|
| Population | 45,282 | 138,037 |
| Median Age | 32.1 years | 36.5 years |
| Median Income | $64,163 | $64,430 |
| Married Families | 31.0% | 34.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Gainesville vs Hampton
- The population in Hampton is higher at 138,037, compared to 45,282 in Gainesville.
- The median age in Hampton is higher at 36.5 years, compared to 32.1 years in Gainesville.
- Hampton has a higher median income of $64,430, compared to $64,163 in Gainesville.
- In Hampton, the percentage of married families is higher at 34.0%, compared to 31.0% in Gainesville.
- Gainesville has a higher poverty level at 13% compared to 12% in Hampton.
- Hampton has a higher unemployment rate at 3.7% compared to 3.5% in Gainesville.
Demographics
Demographics Gainesville vs Hampton provide insight into the diversity of the communities to compare.
| Demographic | Gainesville | Hampton |
|---|---|---|
| Black | 15 | 49 |
| White | 36 | 34 |
| Asian | 3 | 2 |
| Hispanic | 34 | 7 |
| Two or More Races | 12 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gainesville vs Hampton
- In Hampton, the percentage of Black residents is higher at 49% compared to 15% in Gainesville.
- Gainesville has a higher percentage of White residents at 36% compared to 34% in Hampton.
- The Asian population is larger in Gainesville at 3% compared to 2% in Hampton.
- The Hispanic community is larger in Gainesville at 34% compared to 7% in Hampton.
- More residents identify as two or more races in Gainesville at 12% compared to 8% in Hampton.
- The percentage of American Indian residents is the same in both Gainesville and Hampton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gainesville | Hampton |
|---|---|---|
| Mental Health Not Good | 17.3% | 16.8% |
| Physical Health Not Good | 13.5% | 11.3% |
| Depression | 20.5% | 21.1% |
| Smoking | 17.7% | 17.7% |
| Binge Drinking | 14.7% | 15.2% |
| Obesity | 41.1% | 42.6% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Gainesville vs Hampton
- More residents in Gainesville report poor mental health at 17.3% compared to 16.8% in Hampton.
- Higher depression rates are seen in Hampton at 21.1% versus 20.5% in Gainesville.
- Smoking rates are the same in both Gainesville and Hampton at 17.7%.
- More residents engage in binge drinking in Hampton at 15.2% compared to 14.7% in Gainesville.
- Hampton has higher obesity rates at 42.6% compared to 41.1% in Gainesville.
- There is a higher percentage of disabled individuals in Hampton at 15.0% compared to 12.0% in Gainesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gainesville | Hampton |
|---|---|---|
| No Schooling | 3.3% (1,499) | 0.7% (1,033) |
| High School Diploma | 13.1% (5,951) | 16.8% (23,123) |
| Less than High School | 24.9% (11,266) | 7.0% (9,612) |
| Bachelor's Degree and Higher | 14.8% (6,695) | 18.5% (25,602) |
Education Levels Comparison: Gainesville vs Hampton
- A higher percentage of residents in Gainesville have no formal schooling at 3.3% compared to 0.7% in Hampton.
- In Hampton, the rate of residents with high school diplomas is higher at 16.8% compared to 13.1% in Gainesville.
- More residents in Gainesville have less than a high school education at 24.9% compared to 7.0% in Hampton.
- In Hampton, a larger share of residents have a bachelor's degree or higher at 18.5% compared to 14.8% in Gainesville.
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.