Demographics details for Tatamy, PA vs Hampton, GA
Population Overview
Compare main population characteristics in Tatamy, PA vs Hampton, GA.
| Data | Tatamy | Hampton |
|---|---|---|
| Population | 1,369 | 8,267 |
| Median Age | 40.7 years | 32.9 years |
| Median Income | $97,857 | $67,808 |
| Married Families | 36.0% | 33.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Tatamy vs Hampton
- The population in Hampton is higher at 8,267, compared to 1,369 in Tatamy.
- Residents in Tatamy have a higher median age of 40.7 years compared to 32.9 years in Hampton.
- Tatamy has a higher median income of $97,857 compared to $67,808 in Hampton.
- A higher percentage of married families is found in Tatamy at 36.0% compared to 33.0% in Hampton.
- The poverty level is higher in Hampton at 10%, compared to 5% in Tatamy.
- Hampton has a higher unemployment rate at 4.0% compared to 3.5% in Tatamy.
Demographics
Demographics Tatamy vs Hampton provide insight into the diversity of the communities to compare.
| Demographic | Tatamy | Hampton |
|---|---|---|
| Black | 4 | 58 |
| White | 88 | 35 |
| Asian | 1 | Data is updating |
| Hispanic | 6 | 4 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tatamy vs Hampton
- In Hampton, the percentage of Black residents is higher at 58% compared to 4% in Tatamy.
- Tatamy has a higher percentage of White residents at 88% compared to 35% in Hampton.
- The Asian population is larger in Tatamy at 1% compared to 0% in Hampton.
- The Hispanic community is larger in Tatamy at 6% compared to 4% in Hampton.
- The percentage of residents identifying as two or more races is higher in Hampton at 3%, compared to 1% in Tatamy.
- The percentage of American Indian residents is the same in both Tatamy and Hampton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tatamy | Hampton |
|---|---|---|
| Mental Health Not Good | 15.8% | 16.2% |
| Physical Health Not Good | 10.1% | 11.2% |
| Depression | 21.9% | 20.7% |
| Smoking | 16.2% | 15.5% |
| Binge Drinking | 20.3% | 16.5% |
| Obesity | 31.0% | 37.0% |
| Disability Percentage | 6.0% | 6.0% |
Health Statistics Comparison: Tatamy vs Hampton
- In Hampton, a higher percentage report poor mental health at 16.2% compared to 15.8% in Tatamy.
- Depression is more prevalent in Tatamy at 21.9% compared to 20.7% in Hampton.
- Smoking is more prevalent in Tatamy at 16.2% compared to 15.5% in Hampton.
- Binge drinking is more common in Tatamy at 20.3% compared to 16.5% in Hampton.
- Hampton has higher obesity rates at 37.0% compared to 31.0% in Tatamy.
- Disability percentages are the same in both Tatamy and Hampton at 6.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tatamy | Hampton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 20.2% (277) | 19.6% (1,619) |
| Less than High School | 1.9% (26) | 3.5% (293) |
| Bachelor's Degree and Higher | 17.1% (234) | 13.8% (1,140) |
Education Levels Comparison: Tatamy vs Hampton
- The percentage of residents with no formal schooling is the same in both Tatamy and Hampton at 0.0%.
- A higher percentage of residents in Tatamy hold a high school diploma at 20.2% compared to 19.6% in Hampton.
- The percentage of residents with less than a high school education is higher in Hampton at 3.5%, compared to 1.9% in Tatamy.
- A higher percentage of residents in Tatamy hold a bachelor's degree or higher at 17.1% 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.