Demographics details for Hampton, VA vs Arnett, WV
Population Overview
Compare main population characteristics in Hampton, VA vs Arnett, WV.
| Data | Hampton | Arnett |
|---|---|---|
| Population | 138,037 | 59 |
| Median Age | 36.5 years | 42.0 years |
| Median Income | $64,430 | $35,000 |
| Married Families | 34.0% | 24.0% |
| Poverty Level | 12% | 35% |
| Unemployment Rate | 3.7 | 5.0 |
Population Comparison: Hampton vs Arnett
- In Hampton, the population is higher at 138,037, compared to 59 in Arnett.
- The median age in Arnett is higher at 42.0 years, compared to 36.5 years in Hampton.
- Hampton has a higher median income of $64,430 compared to $35,000 in Arnett.
- A higher percentage of married families is found in Hampton at 34.0% compared to 24.0% in Arnett.
- The poverty level is higher in Arnett at 35%, compared to 12% in Hampton.
- Arnett has a higher unemployment rate at 5.0% compared to 3.7% in Hampton.
Demographics
Demographics Hampton vs Arnett provide insight into the diversity of the communities to compare.
| Demographic | Hampton | Arnett |
|---|---|---|
| Black | 49 | Data is updating |
| White | 34 | 100 |
| Asian | 2 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 8 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs Arnett
- A higher percentage of Black residents are in Hampton at 49% compared to 0% in Arnett.
- The percentage of White residents is higher in Arnett at 100% compared to 34% in Hampton.
- The Asian population is larger in Hampton at 2% compared to 0% in Arnett.
- The Hispanic community is larger in Hampton at 7% compared to 0% in Arnett.
- More residents identify as two or more races in Hampton at 8% compared to 0% in Arnett.
- The percentage of American Indian residents is the same in both Hampton and Arnett at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hampton | Arnett |
|---|---|---|
| Mental Health Not Good | 16.8% | Data is updating% |
| Physical Health Not Good | 11.3% | Data is updating% |
| Depression | 21.1% | Data is updating% |
| Smoking | 17.7% | Data is updating% |
| Binge Drinking | 15.2% | Data is updating% |
| Obesity | 42.6% | Data is updating% |
| Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Hampton vs Arnett
- More residents in Hampton report poor mental health at 16.8% compared to 0.0% in Arnett.
- Depression is more prevalent in Hampton at 21.1% compared to 0.0% in Arnett.
- Smoking is more prevalent in Hampton at 17.7% compared to 0.0% in Arnett.
- Binge drinking is more common in Hampton at 15.2% compared to 0.0% in Arnett.
- Obesity rates are higher in Hampton at 42.6% compared to 0.0% in Arnett.
- Disability percentages are higher in Hampton at 15.0% compared to 0.0% in Arnett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hampton | Arnett |
|---|---|---|
| No Schooling | 0.7% (1,033) | 0.0% (Data is updating) |
| High School Diploma | 16.8% (23,123) | 0.0% (Data is updating) |
| Less than High School | 7.0% (9,612) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 18.5% (25,602) | 0.0% (Data is updating) |
Education Levels Comparison: Hampton vs Arnett
- A higher percentage of residents in Hampton have no formal schooling at 0.7% compared to 0.0% in Arnett.
- A higher percentage of residents in Hampton hold a high school diploma at 16.8% compared to 0.0% in Arnett.
- More residents in Hampton have less than a high school education at 7.0% compared to 0.0% in Arnett.
- A higher percentage of residents in Hampton hold a bachelor's degree or higher at 18.5% compared to 0.0% in Arnett.
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.