Demographics details for Virginia beach, VA vs Campbell, CA
Population Overview
Compare main population characteristics in Virginia beach, VA vs Campbell, CA.
Data | Virginia beach | Campbell |
---|---|---|
Population | 455,618 | 42,286 |
Median Age | 37.1 years | 39.3 years |
Median Income | $87,544 | $141,794 |
Married Families | 42.0% | 45.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 2.8 | 3.6 |
Population Comparison: Virginia beach vs Campbell
- In Virginia beach, the population is higher at 455,618, compared to 42,286 in Campbell.
- The median age in Campbell is higher at 39.3 years, compared to 37.1 years in Virginia beach.
- Campbell has a higher median income of $141,794, compared to $87,544 in Virginia beach.
- In Campbell, the percentage of married families is higher at 45.0%, compared to 42.0% in Virginia beach.
- Virginia beach has a higher poverty level at 10% compared to 6% in Campbell.
- Campbell has a higher unemployment rate at 3.6% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Campbell provide insight into the diversity of the communities to compare.
Demographic | Virginia beach | Campbell |
---|---|---|
Black | 19 | 2 |
White | 56 | 42 |
Asian | 7 | 27 |
Hispanic | 9 | 18 |
Two or More Races | 9 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Virginia beach vs Campbell
- A higher percentage of Black residents are in Virginia beach at 19% compared to 2% in Campbell.
- Virginia beach has a higher percentage of White residents at 56% compared to 42% in Campbell.
- In Campbell, the Asian population stands at 27%, greater than 7% in Virginia beach.
- Campbell has a higher percentage of Hispanic residents at 18%, compared to 9% in Virginia beach.
- The percentage of residents identifying as two or more races is higher in Campbell at 11%, compared to 9% in Virginia beach.
- The percentage of American Indian residents is the same in both Virginia beach and Campbell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Virginia beach | Campbell |
---|---|---|
Mental Health Not Good | 14.5% | 13.3% |
Physical Health Not Good | 9.3% | 8.0% |
Depression | 20.4% | 16.8% |
Smoking | 13.7% | 8.0% |
Binge Drinking | 16.8% | 15.9% |
Obesity | 31.5% | 21.0% |
Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Virginia beach vs Campbell
- More residents in Virginia beach report poor mental health at 14.5% compared to 13.3% in Campbell.
- Depression is more prevalent in Virginia beach at 20.4% compared to 16.8% in Campbell.
- Smoking is more prevalent in Virginia beach at 13.7% compared to 8.0% in Campbell.
- Binge drinking is more common in Virginia beach at 16.8% compared to 15.9% in Campbell.
- Obesity rates are higher in Virginia beach at 31.5% compared to 21.0% in Campbell.
- Disability percentages are higher in Virginia beach at 11.0% compared to 9.0% in Campbell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Virginia beach | Campbell |
---|---|---|
No Schooling | 0.6% (2,931) | 1.4% (599) |
High School Diploma | 11.8% (53,968) | 8.1% (3,429) |
Less than High School | 6.0% (27,564) | 7.6% (3,214) |
Bachelor's Degree and Higher | 27.6% (125,790) | 44.5% (18,829) |
Education Levels Comparison: Virginia beach vs Campbell
- In Campbell, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Virginia beach.
- A higher percentage of residents in Virginia beach hold a high school diploma at 11.8% compared to 8.1% in Campbell.
- The percentage of residents with less than a high school education is higher in Campbell at 7.6%, compared to 6.0% in Virginia beach.
- In Campbell, a larger share of residents have a bachelor's degree or higher at 44.5% compared to 27.6% in Virginia beach.
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.