Demographics details for Hampton, GA vs Tipp city, OH
Population Overview
Compare main population characteristics in Hampton, GA vs Tipp city, OH.
| Data | Hampton | Tipp city |
|---|---|---|
| Population | 8,267 | 10,424 |
| Median Age | 32.9 years | 40.1 years |
| Median Income | $67,808 | $74,178 |
| Married Families | 33.0% | 46.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 4.0 | 3.2 |
Population Comparison: Hampton vs Tipp city
- The population in Tipp city is higher at 10,424, compared to 8,267 in Hampton.
- The median age in Tipp city is higher at 40.1 years, compared to 32.9 years in Hampton.
- Tipp city has a higher median income of $74,178, compared to $67,808 in Hampton.
- In Tipp city, the percentage of married families is higher at 46.0%, compared to 33.0% in Hampton.
- Hampton has a higher poverty level at 10% compared to 5% in Tipp city.
- The unemployment rate in Hampton is higher at 4.0%, compared to 3.2% in Tipp city.
Demographics
Demographics Hampton vs Tipp city provide insight into the diversity of the communities to compare.
| Demographic | Hampton | Tipp city |
|---|---|---|
| Black | 58 | 1 |
| White | 35 | 92 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 1 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs Tipp city
- A higher percentage of Black residents are in Hampton at 58% compared to 1% in Tipp city.
- The percentage of White residents is higher in Tipp city at 92% compared to 35% in Hampton.
- In Tipp city, the Asian population stands at 2%, greater than 0% in Hampton.
- The Hispanic community is larger in Hampton at 4% compared to 1% in Tipp city.
- The percentage of residents identifying as two or more races is higher in Tipp city at 4%, compared to 3% in Hampton.
- The percentage of American Indian residents is the same in both Hampton and Tipp city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hampton | Tipp city |
|---|---|---|
| Mental Health Not Good | 16.2% | 15.4% |
| Physical Health Not Good | 11.2% | 9.5% |
| Depression | 20.7% | 21.5% |
| Smoking | 15.5% | 15.4% |
| Binge Drinking | 16.5% | 19.2% |
| Obesity | 37.0% | 36.7% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Hampton vs Tipp city
- More residents in Hampton report poor mental health at 16.2% compared to 15.4% in Tipp city.
- Higher depression rates are seen in Tipp city at 21.5% versus 20.7% in Hampton.
- Smoking is more prevalent in Hampton at 15.5% compared to 15.4% in Tipp city.
- More residents engage in binge drinking in Tipp city at 19.2% compared to 16.5% in Hampton.
- Obesity rates are higher in Hampton at 37.0% compared to 36.7% in Tipp city.
- There is a higher percentage of disabled individuals in Tipp city at 11.0% 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 | Tipp city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (61) |
| High School Diploma | 19.6% (1,619) | 15.5% (1,616) |
| Less than High School | 3.5% (293) | 6.0% (624) |
| Bachelor's Degree and Higher | 13.8% (1,140) | 23.6% (2,455) |
Education Levels Comparison: Hampton vs Tipp city
- In Tipp city, 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 15.5% in Tipp city.
- The percentage of residents with less than a high school education is higher in Tipp city at 6.0%, compared to 3.5% in Hampton.
- In Tipp city, a larger share of residents have a bachelor's degree or higher at 23.6% 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.