Demographics details for Virginia beach, VA vs Altoona, WI
Population Overview
Compare main population characteristics in Virginia beach, VA vs Altoona, WI.
| Data | Virginia beach | Altoona |
|---|---|---|
| Population | 455,618 | 9,139 |
| Median Age | 37.1 years | 36.7 years |
| Median Income | $87,544 | $77,002 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 2.8 | 3.2 |
Population Comparison: Virginia beach vs Altoona
- In Virginia beach, the population is higher at 455,618, compared to 9,139 in Altoona.
- Residents in Virginia beach have a higher median age of 37.1 years compared to 36.7 years in Altoona.
- Virginia beach has a higher median income of $87,544 compared to $77,002 in Altoona.
- A higher percentage of married families is found in Virginia beach at 42.0% compared to 34.0% in Altoona.
- Virginia beach has a higher poverty level at 10% compared to 7% in Altoona.
- Altoona has a higher unemployment rate at 3.2% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Altoona provide insight into the diversity of the communities to compare.
| Demographic | Virginia beach | Altoona |
|---|---|---|
| Black | 19 | 2 |
| White | 56 | 85 |
| Asian | 7 | 3 |
| Hispanic | 9 | 3 |
| Two or More Races | 9 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Virginia beach vs Altoona
- A higher percentage of Black residents are in Virginia beach at 19% compared to 2% in Altoona.
- The percentage of White residents is higher in Altoona at 85% compared to 56% in Virginia beach.
- The Asian population is larger in Virginia beach at 7% compared to 3% in Altoona.
- The Hispanic community is larger in Virginia beach at 9% compared to 3% in Altoona.
- More residents identify as two or more races in Virginia beach at 9% compared to 7% in Altoona.
- The percentage of American Indian residents is the same in both Virginia beach and Altoona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Virginia beach | Altoona |
|---|---|---|
| Mental Health Not Good | 14.5% | 14.6% |
| Physical Health Not Good | 9.3% | 9.0% |
| Depression | 20.4% | 23.3% |
| Smoking | 13.7% | 13.6% |
| Binge Drinking | 16.8% | 25.8% |
| Obesity | 31.5% | 31.0% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Virginia beach vs Altoona
- In Altoona, a higher percentage report poor mental health at 14.6% compared to 14.5% in Virginia beach.
- Higher depression rates are seen in Altoona at 23.3% versus 20.4% in Virginia beach.
- Smoking is more prevalent in Virginia beach at 13.7% compared to 13.6% in Altoona.
- More residents engage in binge drinking in Altoona at 25.8% compared to 16.8% in Virginia beach.
- Obesity rates are higher in Virginia beach at 31.5% compared to 31.0% in Altoona.
- There is a higher percentage of disabled individuals in Altoona at 12.0% 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 | Altoona |
|---|---|---|
| No Schooling | 0.6% (2,931) | 0.7% (63) |
| High School Diploma | 11.8% (53,968) | 12.2% (1,115) |
| Less than High School | 6.0% (27,564) | 3.9% (360) |
| Bachelor's Degree and Higher | 27.6% (125,790) | 24.2% (2,208) |
Education Levels Comparison: Virginia beach vs Altoona
- In Altoona, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Virginia beach.
- In Altoona, the rate of residents with high school diplomas is higher at 12.2% compared to 11.8% in Virginia beach.
- More residents in Virginia beach have less than a high school education at 6.0% compared to 3.9% in Altoona.
- A higher percentage of residents in Virginia beach hold a bachelor's degree or higher at 27.6% compared to 24.2% in Altoona.
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.