Demographics details for Hampton, GA vs Mitchell, IN
Population Overview
Compare main population characteristics in Hampton, GA vs Mitchell, IN.
| Data | Hampton | Mitchell |
|---|---|---|
| Population | 8,267 | 3,940 |
| Median Age | 32.9 years | 35.5 years |
| Median Income | $67,808 | $51,025 |
| Married Families | 33.0% | 32.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Hampton vs Mitchell
- In Hampton, the population is higher at 8,267, compared to 3,940 in Mitchell.
- The median age in Mitchell is higher at 35.5 years, compared to 32.9 years in Hampton.
- Hampton has a higher median income of $67,808 compared to $51,025 in Mitchell.
- A higher percentage of married families is found in Hampton at 33.0% compared to 32.0% in Mitchell.
- The poverty level is identical in both Hampton and Mitchell at 10%.
- The unemployment rate in Hampton is higher at 4.0%, compared to 3.5% in Mitchell.
Demographics
Demographics Hampton vs Mitchell provide insight into the diversity of the communities to compare.
| Demographic | Hampton | Mitchell |
|---|---|---|
| Black | 58 | 1 |
| White | 35 | 92 |
| Asian | Data is updating | 4 |
| Hispanic | 4 | 1 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs Mitchell
- A higher percentage of Black residents are in Hampton at 58% compared to 1% in Mitchell.
- The percentage of White residents is higher in Mitchell at 92% compared to 35% in Hampton.
- In Mitchell, the Asian population stands at 4%, greater than 0% in Hampton.
- The Hispanic community is larger in Hampton at 4% compared to 1% in Mitchell.
- More residents identify as two or more races in Hampton at 3% compared to 2% in Mitchell.
- The percentage of American Indian residents is the same in both Hampton and Mitchell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hampton | Mitchell |
|---|---|---|
| Mental Health Not Good | 16.2% | 19.4% |
| Physical Health Not Good | 11.2% | 13.7% |
| Depression | 20.7% | 28.5% |
| Smoking | 15.5% | 24.3% |
| Binge Drinking | 16.5% | 15.9% |
| Obesity | 37.0% | 43.5% |
| Disability Percentage | 6.0% | 21.0% |
Health Statistics Comparison: Hampton vs Mitchell
- In Mitchell, a higher percentage report poor mental health at 19.4% compared to 16.2% in Hampton.
- Higher depression rates are seen in Mitchell at 28.5% versus 20.7% in Hampton.
- Mitchell has a higher smoking rate at 24.3% compared to 15.5% in Hampton.
- Binge drinking is more common in Hampton at 16.5% compared to 15.9% in Mitchell.
- Mitchell has higher obesity rates at 43.5% compared to 37.0% in Hampton.
- There is a higher percentage of disabled individuals in Mitchell at 21.0% 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 | Mitchell |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (63) |
| High School Diploma | 19.6% (1,619) | 20.4% (802) |
| Less than High School | 3.5% (293) | 29.2% (1,152) |
| Bachelor's Degree and Higher | 13.8% (1,140) | 9.8% (387) |
Education Levels Comparison: Hampton vs Mitchell
- In Mitchell, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Hampton.
- In Mitchell, the rate of residents with high school diplomas is higher at 20.4% compared to 19.6% in Hampton.
- The percentage of residents with less than a high school education is higher in Mitchell at 29.2%, compared to 3.5% in Hampton.
- A higher percentage of residents in Hampton hold a bachelor's degree or higher at 13.8% compared to 9.8% in Mitchell.
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.