Demographics details for Virginia beach, VA vs Carson, CA
Population Overview
Compare main population characteristics in Virginia beach, VA vs Carson, CA.
Data | Virginia beach | Carson |
---|---|---|
Population | 455,618 | 92,388 |
Median Age | 37.1 years | 41.3 years |
Median Income | $87,544 | $103,045 |
Married Families | 42.0% | 38.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 2.8 | 5.8 |
Population Comparison: Virginia beach vs Carson
- In Virginia beach, the population is higher at 455,618, compared to 92,388 in Carson.
- The median age in Carson is higher at 41.3 years, compared to 37.1 years in Virginia beach.
- Carson has a higher median income of $103,045, compared to $87,544 in Virginia beach.
- A higher percentage of married families is found in Virginia beach at 42.0% compared to 38.0% in Carson.
- The poverty level is higher in Carson at 15%, compared to 10% in Virginia beach.
- Carson has a higher unemployment rate at 5.8% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Carson provide insight into the diversity of the communities to compare.
Demographic | Virginia beach | Carson |
---|---|---|
Black | 19 | 23 |
White | 56 | -5 |
Asian | 7 | 26 |
Hispanic | 9 | 41 |
Two or More Races | 9 | 14 |
American Indian | Data is updating | 1 |
Demographics Comparison: Virginia beach vs Carson
- In Carson, the percentage of Black residents is higher at 23% compared to 19% in Virginia beach.
- Virginia beach has a higher percentage of White residents at 56% compared to -5% in Carson.
- In Carson, the Asian population stands at 26%, greater than 7% in Virginia beach.
- Carson has a higher percentage of Hispanic residents at 41%, compared to 9% in Virginia beach.
- The percentage of residents identifying as two or more races is higher in Carson at 14%, compared to 9% in Virginia beach.
- In Carson, the percentage of American Indian residents is higher at 1%, compared to 0% in Virginia beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Virginia beach | Carson |
---|---|---|
Mental Health Not Good | 14.5% | 14.2% |
Physical Health Not Good | 9.3% | 10.2% |
Depression | 20.4% | 13.4% |
Smoking | 13.7% | 10.2% |
Binge Drinking | 16.8% | 13.9% |
Obesity | 31.5% | 27.4% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Virginia beach vs Carson
- More residents in Virginia beach report poor mental health at 14.5% compared to 14.2% in Carson.
- Depression is more prevalent in Virginia beach at 20.4% compared to 13.4% in Carson.
- Smoking is more prevalent in Virginia beach at 13.7% compared to 10.2% in Carson.
- Binge drinking is more common in Virginia beach at 16.8% compared to 13.9% in Carson.
- Obesity rates are higher in Virginia beach at 31.5% compared to 27.4% in Carson.
- There is a higher percentage of disabled individuals in Carson at 13.0% 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 | Carson |
---|---|---|
No Schooling | 0.6% (2,931) | 3.3% (3,018) |
High School Diploma | 11.8% (53,968) | 14.3% (13,240) |
Less than High School | 6.0% (27,564) | 22.9% (21,161) |
Bachelor's Degree and Higher | 27.6% (125,790) | 21.6% (19,977) |
Education Levels Comparison: Virginia beach vs Carson
- In Carson, a larger percentage of residents lack formal schooling at 3.3% compared to 0.6% in Virginia beach.
- In Carson, the rate of residents with high school diplomas is higher at 14.3% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Carson at 22.9%, 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 21.6% in Carson.
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.