Demographics details for Virginia beach, VA vs San ramon, CA
Population Overview
Compare main population characteristics in Virginia beach, VA vs San ramon, CA.
Data | Virginia beach | San ramon |
---|---|---|
Population | 455,618 | 85,953 |
Median Age | 37.1 years | 40.5 years |
Median Income | $87,544 | $190,829 |
Married Families | 42.0% | 50.0% |
Poverty Level | 10% | 3% |
Unemployment Rate | 2.8 | 4.3 |
Population Comparison: Virginia beach vs San ramon
- In Virginia beach, the population is higher at 455,618, compared to 85,953 in San ramon.
- The median age in San ramon is higher at 40.5 years, compared to 37.1 years in Virginia beach.
- San ramon has a higher median income of $190,829, compared to $87,544 in Virginia beach.
- In San ramon, the percentage of married families is higher at 50.0%, compared to 42.0% in Virginia beach.
- Virginia beach has a higher poverty level at 10% compared to 3% in San ramon.
- San ramon has a higher unemployment rate at 4.3% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs San ramon provide insight into the diversity of the communities to compare.
Demographic | Virginia beach | San ramon |
---|---|---|
Black | 19 | 3 |
White | 56 | 33 |
Asian | 7 | 48 |
Hispanic | 9 | 8 |
Two or More Races | 9 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Virginia beach vs San ramon
- A higher percentage of Black residents are in Virginia beach at 19% compared to 3% in San ramon.
- Virginia beach has a higher percentage of White residents at 56% compared to 33% in San ramon.
- In San ramon, the Asian population stands at 48%, greater than 7% in Virginia beach.
- The Hispanic community is larger in Virginia beach at 9% compared to 8% in San ramon.
- More residents identify as two or more races in Virginia beach at 9% compared to 8% in San ramon.
- The percentage of American Indian residents is the same in both Virginia beach and San ramon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Virginia beach | San ramon |
---|---|---|
Mental Health Not Good | 14.5% | 11.6% |
Physical Health Not Good | 9.3% | 6.7% |
Depression | 20.4% | 14.9% |
Smoking | 13.7% | 6.3% |
Binge Drinking | 16.8% | 16.3% |
Obesity | 31.5% | 18.9% |
Disability Percentage | 11.0% | 6.0% |
Health Statistics Comparison: Virginia beach vs San ramon
- More residents in Virginia beach report poor mental health at 14.5% compared to 11.6% in San ramon.
- Depression is more prevalent in Virginia beach at 20.4% compared to 14.9% in San ramon.
- Smoking is more prevalent in Virginia beach at 13.7% compared to 6.3% in San ramon.
- Binge drinking is more common in Virginia beach at 16.8% compared to 16.3% in San ramon.
- Obesity rates are higher in Virginia beach at 31.5% compared to 18.9% in San ramon.
- Disability percentages are higher in Virginia beach at 11.0% compared to 6.0% in San ramon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Virginia beach | San ramon |
---|---|---|
No Schooling | 0.6% (2,931) | 0.7% (596) |
High School Diploma | 11.8% (53,968) | 5.2% (4,459) |
Less than High School | 6.0% (27,564) | 3.2% (2,726) |
Bachelor's Degree and Higher | 27.6% (125,790) | 46.6% (40,044) |
Education Levels Comparison: Virginia beach vs San ramon
- In San ramon, a larger percentage of residents lack formal schooling at 0.7% 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 5.2% in San ramon.
- More residents in Virginia beach have less than a high school education at 6.0% compared to 3.2% in San ramon.
- In San ramon, a larger share of residents have a bachelor's degree or higher at 46.6% 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.