Demographics details for Virginia beach, VA vs Erie, PA
Population Overview
Compare main population characteristics in Virginia beach, VA vs Erie, PA.
| Data | Virginia beach | Erie |
|---|---|---|
| Population | 455,618 | 93,511 |
| Median Age | 37.1 years | 35.0 years |
| Median Income | $87,544 | $43,135 |
| Married Families | 42.0% | 27.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 2.8 | 3.9 |
Population Comparison: Virginia beach vs Erie
- In Virginia beach, the population is higher at 455,618, compared to 93,511 in Erie.
- Residents in Virginia beach have a higher median age of 37.1 years compared to 35.0 years in Erie.
- Virginia beach has a higher median income of $87,544 compared to $43,135 in Erie.
- A higher percentage of married families is found in Virginia beach at 42.0% compared to 27.0% in Erie.
- The poverty level is higher in Erie at 20%, compared to 10% in Virginia beach.
- Erie has a higher unemployment rate at 3.9% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Erie provide insight into the diversity of the communities to compare.
| Demographic | Virginia beach | Erie |
|---|---|---|
| Black | 19 | 17 |
| White | 56 | 65 |
| Asian | 7 | 2 |
| Hispanic | 9 | 8 |
| Two or More Races | 9 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Virginia beach vs Erie
- A higher percentage of Black residents are in Virginia beach at 19% compared to 17% in Erie.
- The percentage of White residents is higher in Erie at 65% compared to 56% in Virginia beach.
- The Asian population is larger in Virginia beach at 7% compared to 2% in Erie.
- The Hispanic community is larger in Virginia beach at 9% compared to 8% in Erie.
- More residents identify as two or more races in Virginia beach at 9% compared to 8% in Erie.
- The percentage of American Indian residents is the same in both Virginia beach and Erie at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Virginia beach | Erie |
|---|---|---|
| Mental Health Not Good | 14.5% | 19.6% |
| Physical Health Not Good | 9.3% | 15.0% |
| Depression | 20.4% | 23.2% |
| Smoking | 13.7% | 25.2% |
| Binge Drinking | 16.8% | 16.5% |
| Obesity | 31.5% | 41.6% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Virginia beach vs Erie
- In Erie, a higher percentage report poor mental health at 19.6% compared to 14.5% in Virginia beach.
- Higher depression rates are seen in Erie at 23.2% versus 20.4% in Virginia beach.
- Erie has a higher smoking rate at 25.2% compared to 13.7% in Virginia beach.
- Binge drinking is more common in Virginia beach at 16.8% compared to 16.5% in Erie.
- Erie has higher obesity rates at 41.6% compared to 31.5% in Virginia beach.
- There is a higher percentage of disabled individuals in Erie at 18.0% compared to 11.0% in Virginia beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Virginia beach | Erie |
|---|---|---|
| No Schooling | 0.6% (2,931) | 1.6% (1,478) |
| High School Diploma | 11.8% (53,968) | 21.4% (20,036) |
| Less than High School | 6.0% (27,564) | 12.8% (11,949) |
| Bachelor's Degree and Higher | 27.6% (125,790) | 14.9% (13,967) |
Education Levels Comparison: Virginia beach vs Erie
- In Erie, a larger percentage of residents lack formal schooling at 1.6% compared to 0.6% in Virginia beach.
- In Erie, the rate of residents with high school diplomas is higher at 21.4% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Erie at 12.8%, compared to 6.0% in Virginia beach.
- A higher percentage of residents in Virginia beach hold a bachelor's degree or higher at 27.6% compared to 14.9% in Erie.
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.