Demographics details for Hampton, GA vs Bethlehem, PA
Population Overview
Compare main population characteristics in Hampton, GA vs Bethlehem, PA.
| Data | Hampton | Bethlehem |
|---|---|---|
| Population | 8,267 | 77,617 |
| Median Age | 32.9 years | 35.9 years |
| Median Income | $67,808 | $62,072 |
| Married Families | 33.0% | 29.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Hampton vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 8,267 in Hampton.
- The median age in Bethlehem is higher at 35.9 years, compared to 32.9 years in Hampton.
- Hampton has a higher median income of $67,808 compared to $62,072 in Bethlehem.
- A higher percentage of married families is found in Hampton at 33.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 10% in Hampton.
- The unemployment rate in Hampton is higher at 4.0%, compared to 3.5% in Bethlehem.
Demographics
Demographics Hampton vs Bethlehem provide insight into the diversity of the communities to compare.
| Demographic | Hampton | Bethlehem |
|---|---|---|
| Black | 58 | 9 |
| White | 35 | 47 |
| Asian | Data is updating | 3 |
| Hispanic | 4 | 30 |
| Two or More Races | 3 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs Bethlehem
- A higher percentage of Black residents are in Hampton at 58% compared to 9% in Bethlehem.
- The percentage of White residents is higher in Bethlehem at 47% compared to 35% in Hampton.
- In Bethlehem, the Asian population stands at 3%, greater than 0% in Hampton.
- Bethlehem has a higher percentage of Hispanic residents at 30%, compared to 4% in Hampton.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 3% in Hampton.
- The percentage of American Indian residents is the same in both Hampton and Bethlehem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hampton | Bethlehem |
|---|---|---|
| Mental Health Not Good | 16.2% | 16.9% |
| Physical Health Not Good | 11.2% | 12.1% |
| Depression | 20.7% | 21.8% |
| Smoking | 15.5% | 18.4% |
| Binge Drinking | 16.5% | 17.6% |
| Obesity | 37.0% | 34.7% |
| Disability Percentage | 6.0% | 13.0% |
Health Statistics Comparison: Hampton vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 16.2% in Hampton.
- Higher depression rates are seen in Bethlehem at 21.8% versus 20.7% in Hampton.
- Bethlehem has a higher smoking rate at 18.4% compared to 15.5% in Hampton.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 16.5% in Hampton.
- Obesity rates are higher in Hampton at 37.0% compared to 34.7% in Bethlehem.
- There is a higher percentage of disabled individuals in Bethlehem 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 | Hampton | Bethlehem |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (452) |
| High School Diploma | 19.6% (1,619) | 16.9% (13,125) |
| Less than High School | 3.5% (293) | 12.9% (10,045) |
| Bachelor's Degree and Higher | 13.8% (1,140) | 22.0% (17,044) |
Education Levels Comparison: Hampton vs Bethlehem
- In Bethlehem, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Hampton.
- A higher percentage of residents in Hampton hold a high school diploma at 19.6% compared to 16.9% in Bethlehem.
- The percentage of residents with less than a high school education is higher in Bethlehem at 12.9%, compared to 3.5% in Hampton.
- In Bethlehem, a larger share of residents have a bachelor's degree or higher at 22.0% 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.