Demographics details for Waterproof, LA vs Powhatan, VA
Population Overview
Compare main population characteristics in Waterproof, LA vs Powhatan, VA.
| Data | Waterproof | Powhatan |
|---|---|---|
| Population | 499 | 31,489 |
| Median Age | 37.0 years | 45.6 years |
| Median Income | $21,953 | $108,089 |
| Married Families | 9.0% | 49.0% |
| Poverty Level | 30% | 4% |
| Unemployment Rate | 5.0 | 2.6 |
Population Comparison: Waterproof vs Powhatan
- The population in Powhatan is higher at 31,489, compared to 499 in Waterproof.
- The median age in Powhatan is higher at 45.6 years, compared to 37.0 years in Waterproof.
- Powhatan has a higher median income of $108,089, compared to $21,953 in Waterproof.
- In Powhatan, the percentage of married families is higher at 49.0%, compared to 9.0% in Waterproof.
- Waterproof has a higher poverty level at 30% compared to 4% in Powhatan.
- The unemployment rate in Waterproof is higher at 5.0%, compared to 2.6% in Powhatan.
Demographics
Demographics Waterproof vs Powhatan provide insight into the diversity of the communities to compare.
| Demographic | Waterproof | Powhatan |
|---|---|---|
| Black | 103 | 9 |
| White | -12 | 85 |
| Asian | 7 | Data is updating |
| Hispanic | Data is updating | 2 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waterproof vs Powhatan
- A higher percentage of Black residents are in Waterproof at 103% compared to 9% in Powhatan.
- The percentage of White residents is higher in Powhatan at 85% compared to -12% in Waterproof.
- The Asian population is larger in Waterproof at 7% compared to 0% in Powhatan.
- Powhatan has a higher percentage of Hispanic residents at 2%, compared to 0% in Waterproof.
- The percentage of residents identifying as two or more races is higher in Powhatan at 4%, compared to 2% in Waterproof.
- The percentage of American Indian residents is the same in both Waterproof and Powhatan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterproof | Powhatan |
|---|---|---|
| Mental Health Not Good | 24.5% | 15.5% |
| Physical Health Not Good | 20.0% | 9.5% |
| Depression | 25.1% | 22.9% |
| Smoking | 33.7% | 14.2% |
| Binge Drinking | 11.8% | 19.9% |
| Obesity | 53.1% | 33.7% |
| Disability Percentage | 22.0% | 10.0% |
Health Statistics Comparison: Waterproof vs Powhatan
- More residents in Waterproof report poor mental health at 24.5% compared to 15.5% in Powhatan.
- Depression is more prevalent in Waterproof at 25.1% compared to 22.9% in Powhatan.
- Smoking is more prevalent in Waterproof at 33.7% compared to 14.2% in Powhatan.
- More residents engage in binge drinking in Powhatan at 19.9% compared to 11.8% in Waterproof.
- Obesity rates are higher in Waterproof at 53.1% compared to 33.7% in Powhatan.
- Disability percentages are higher in Waterproof at 22.0% compared to 10.0% in Powhatan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterproof | Powhatan |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (182) |
| High School Diploma | 27.7% (138) | 15.0% (4,711) |
| Less than High School | 10.6% (53) | 10.5% (3,300) |
| Bachelor's Degree and Higher | 12.8% (64) | 23.9% (7,526) |
Education Levels Comparison: Waterproof vs Powhatan
- In Powhatan, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Waterproof.
- A higher percentage of residents in Waterproof hold a high school diploma at 27.7% compared to 15.0% in Powhatan.
- More residents in Waterproof have less than a high school education at 10.6% compared to 10.5% in Powhatan.
- In Powhatan, a larger share of residents have a bachelor's degree or higher at 23.9% compared to 12.8% in Waterproof.
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.