Demographics details for Hampton, VA vs Penn valley, CA
Population Overview
Compare main population characteristics in Hampton, VA vs Penn valley, CA.
| Data | Hampton | Penn valley |
|---|---|---|
| Population | 138,037 | 1,188 |
| Median Age | 36.5 years | 55.7 years |
| Median Income | $64,430 | $65,882 |
| Married Families | 34.0% | 60.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.7 | 5.1 |
Population Comparison: Hampton vs Penn valley
- In Hampton, the population is higher at 138,037, compared to 1,188 in Penn valley.
- The median age in Penn valley is higher at 55.7 years, compared to 36.5 years in Hampton.
- Penn valley has a higher median income of $65,882, compared to $64,430 in Hampton.
- In Penn valley, the percentage of married families is higher at 60.0%, compared to 34.0% in Hampton.
- Hampton has a higher poverty level at 12% compared to 8% in Penn valley.
- Penn valley has a higher unemployment rate at 5.1% compared to 3.7% in Hampton.
Demographics
Demographics Hampton vs Penn valley provide insight into the diversity of the communities to compare.
| Demographic | Hampton | Penn valley |
|---|---|---|
| Black | 49 | Data is updating |
| White | 34 | 86 |
| Asian | 2 | Data is updating |
| Hispanic | 7 | 7 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hampton vs Penn valley
- A higher percentage of Black residents are in Hampton at 49% compared to 0% in Penn valley.
- The percentage of White residents is higher in Penn valley at 86% compared to 34% in Hampton.
- The Asian population is larger in Hampton at 2% compared to 0% in Penn valley.
- The percentage of Hispanic residents is the same in both Hampton and Penn valley at 7%.
- More residents identify as two or more races in Hampton at 8% compared to 7% in Penn valley.
- The percentage of American Indian residents is the same in both Hampton and Penn valley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hampton | Penn valley |
|---|---|---|
| Mental Health Not Good | 16.8% | 18.4% |
| Physical Health Not Good | 11.3% | 11.8% |
| Depression | 21.1% | 22.9% |
| Smoking | 17.7% | 14.8% |
| Binge Drinking | 15.2% | 17.9% |
| Obesity | 42.6% | 29.5% |
| Disability Percentage | 15.0% | 30.0% |
Health Statistics Comparison: Hampton vs Penn valley
- In Penn valley, a higher percentage report poor mental health at 18.4% compared to 16.8% in Hampton.
- Higher depression rates are seen in Penn valley at 22.9% versus 21.1% in Hampton.
- Smoking is more prevalent in Hampton at 17.7% compared to 14.8% in Penn valley.
- More residents engage in binge drinking in Penn valley at 17.9% compared to 15.2% in Hampton.
- Obesity rates are higher in Hampton at 42.6% compared to 29.5% in Penn valley.
- There is a higher percentage of disabled individuals in Penn valley at 30.0% compared to 15.0% in Hampton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hampton | Penn valley |
|---|---|---|
| No Schooling | 0.7% (1,033) | 4.9% (58) |
| High School Diploma | 16.8% (23,123) | 21.6% (257) |
| Less than High School | 7.0% (9,612) | 8.2% (98) |
| Bachelor's Degree and Higher | 18.5% (25,602) | 12.3% (146) |
Education Levels Comparison: Hampton vs Penn valley
- In Penn valley, a larger percentage of residents lack formal schooling at 4.9% compared to 0.7% in Hampton.
- In Penn valley, the rate of residents with high school diplomas is higher at 21.6% compared to 16.8% in Hampton.
- The percentage of residents with less than a high school education is higher in Penn valley at 8.2%, compared to 7.0% in Hampton.
- A higher percentage of residents in Hampton hold a bachelor's degree or higher at 18.5% compared to 12.3% in Penn valley.
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.