Demographics details for Strum, WI vs Virginia beach, VA
Population Overview
Compare main population characteristics in Strum, WI vs Virginia beach, VA.
| Data | Strum | Virginia beach |
|---|---|---|
| Population | 1,068 | 455,618 |
| Median Age | 33.7 years | 37.1 years |
| Median Income | $64,911 | $87,544 |
| Married Families | 41.0% | 42.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 2.5 | 2.8 |
Population Comparison: Strum vs Virginia beach
- The population in Virginia beach is higher at 455,618, compared to 1,068 in Strum.
- The median age in Virginia beach is higher at 37.1 years, compared to 33.7 years in Strum.
- Virginia beach has a higher median income of $87,544, compared to $64,911 in Strum.
- In Virginia beach, the percentage of married families is higher at 42.0%, compared to 41.0% in Strum.
- The poverty level is higher in Virginia beach at 10%, compared to 0% in Strum.
- Virginia beach has a higher unemployment rate at 2.8% compared to 2.5% in Strum.
Demographics
Demographics Strum vs Virginia beach provide insight into the diversity of the communities to compare.
| Demographic | Strum | Virginia beach |
|---|---|---|
| Black | Data is updating | 19 |
| White | 91 | 56 |
| Asian | 1 | 7 |
| Hispanic | 4 | 9 |
| Two or More Races | 3 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Strum vs Virginia beach
- In Virginia beach, the percentage of Black residents is higher at 19% compared to 0% in Strum.
- Strum has a higher percentage of White residents at 91% compared to 56% in Virginia beach.
- In Virginia beach, the Asian population stands at 7%, greater than 1% in Strum.
- Virginia beach has a higher percentage of Hispanic residents at 9%, compared to 4% in Strum.
- The percentage of residents identifying as two or more races is higher in Virginia beach at 9%, compared to 3% in Strum.
- A greater percentage of American Indian residents live in Strum at 1% compared to 0% in Virginia beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Strum | Virginia beach |
|---|---|---|
| Mental Health Not Good | 14.7% | 14.5% |
| Physical Health Not Good | 9.9% | 9.3% |
| Depression | 23.2% | 20.4% |
| Smoking | 15.7% | 13.7% |
| Binge Drinking | 24.8% | 16.8% |
| Obesity | 35.0% | 31.5% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Strum vs Virginia beach
- More residents in Strum report poor mental health at 14.7% compared to 14.5% in Virginia beach.
- Depression is more prevalent in Strum at 23.2% compared to 20.4% in Virginia beach.
- Smoking is more prevalent in Strum at 15.7% compared to 13.7% in Virginia beach.
- Binge drinking is more common in Strum at 24.8% compared to 16.8% in Virginia beach.
- Obesity rates are higher in Strum at 35.0% compared to 31.5% in Virginia beach.
- Disability percentages are higher in Strum at 14.0% 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 | Strum | Virginia beach |
|---|---|---|
| No Schooling | 0.7% (7) | 0.6% (2,931) |
| High School Diploma | 23.6% (252) | 11.8% (53,968) |
| Less than High School | 4.5% (48) | 6.0% (27,564) |
| Bachelor's Degree and Higher | 14.5% (155) | 27.6% (125,790) |
Education Levels Comparison: Strum vs Virginia beach
- A higher percentage of residents in Strum have no formal schooling at 0.7% compared to 0.6% in Virginia beach.
- A higher percentage of residents in Strum hold a high school diploma at 23.6% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Virginia beach at 6.0%, compared to 4.5% in Strum.
- In Virginia beach, a larger share of residents have a bachelor's degree or higher at 27.6% compared to 14.5% in Strum.
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.