Demographics details for Mountain home, AR vs Hampton, GA
Population Overview
Compare main population characteristics in Mountain home, AR vs Hampton, GA.
| Data | Mountain home | Hampton |
|---|---|---|
| Population | 13,150 | 8,267 |
| Median Age | 41.8 years | 32.9 years |
| Median Income | $42,281 | $67,808 |
| Married Families | 38.0% | 33.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Mountain home vs Hampton
- In Mountain home, the population is higher at 13,150, compared to 8,267 in Hampton.
- Residents in Mountain home have a higher median age of 41.8 years compared to 32.9 years in Hampton.
- Hampton has a higher median income of $67,808, compared to $42,281 in Mountain home.
- A higher percentage of married families is found in Mountain home at 38.0% compared to 33.0% in Hampton.
- Mountain home has a higher poverty level at 14% compared to 10% in Hampton.
- Hampton has a higher unemployment rate at 4.0% compared to 3.5% in Mountain home.
Demographics
Demographics Mountain home vs Hampton provide insight into the diversity of the communities to compare.
| Demographic | Mountain home | Hampton |
|---|---|---|
| Black | Data is updating | 58 |
| White | 90 | 35 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 4 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mountain home vs Hampton
- In Hampton, the percentage of Black residents is higher at 58% compared to 0% in Mountain home.
- Mountain home has a higher percentage of White residents at 90% compared to 35% in Hampton.
- The Asian population is larger in Mountain home at 1% compared to 0% in Hampton.
- The percentage of Hispanic residents is the same in both Mountain home and Hampton at 4%.
- More residents identify as two or more races in Mountain home at 4% compared to 3% in Hampton.
- A greater percentage of American Indian residents live in Mountain home at 1% compared to 0% in Hampton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain home | Hampton |
|---|---|---|
| Mental Health Not Good | 19.2% | 16.2% |
| Physical Health Not Good | 12.9% | 11.2% |
| Depression | 28.5% | 20.7% |
| Smoking | 21.1% | 15.5% |
| Binge Drinking | 16.3% | 16.5% |
| Obesity | 34.3% | 37.0% |
| Disability Percentage | 22.0% | 6.0% |
Health Statistics Comparison: Mountain home vs Hampton
- More residents in Mountain home report poor mental health at 19.2% compared to 16.2% in Hampton.
- Depression is more prevalent in Mountain home at 28.5% compared to 20.7% in Hampton.
- Smoking is more prevalent in Mountain home at 21.1% compared to 15.5% in Hampton.
- More residents engage in binge drinking in Hampton at 16.5% compared to 16.3% in Mountain home.
- Hampton has higher obesity rates at 37.0% compared to 34.3% in Mountain home.
- Disability percentages are higher in Mountain home at 22.0% 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 | Mountain home | Hampton |
|---|---|---|
| No Schooling | 0.7% (87) | 0.0% (Data is updating) |
| High School Diploma | 16.9% (2,225) | 19.6% (1,619) |
| Less than High School | 14.2% (1,870) | 3.5% (293) |
| Bachelor's Degree and Higher | 15.0% (1,973) | 13.8% (1,140) |
Education Levels Comparison: Mountain home vs Hampton
- A higher percentage of residents in Mountain home have no formal schooling at 0.7% compared to 0.0% in Hampton.
- In Hampton, the rate of residents with high school diplomas is higher at 19.6% compared to 16.9% in Mountain home.
- More residents in Mountain home have less than a high school education at 14.2% compared to 3.5% in Hampton.
- A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 15.0% 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.