Demographics details for Virginia beach, VA vs Plymouth, MI
Population Overview
Compare main population characteristics in Virginia beach, VA vs Plymouth, MI.
| Data | Virginia beach | Plymouth |
|---|---|---|
| Population | 455,618 | 9,252 |
| Median Age | 37.1 years | 44.3 years |
| Median Income | $87,544 | $107,156 |
| Married Families | 42.0% | 40.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 2.8 | 3.2 |
Population Comparison: Virginia beach vs Plymouth
- In Virginia beach, the population is higher at 455,618, compared to 9,252 in Plymouth.
- The median age in Plymouth is higher at 44.3 years, compared to 37.1 years in Virginia beach.
- Plymouth has a higher median income of $107,156, compared to $87,544 in Virginia beach.
- A higher percentage of married families is found in Virginia beach at 42.0% compared to 40.0% in Plymouth.
- Virginia beach has a higher poverty level at 10% compared to 5% in Plymouth.
- Plymouth has a higher unemployment rate at 3.2% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Plymouth provide insight into the diversity of the communities to compare.
| Demographic | Virginia beach | Plymouth |
|---|---|---|
| Black | 19 | 3 |
| White | 56 | 89 |
| Asian | 7 | 2 |
| Hispanic | 9 | 2 |
| Two or More Races | 9 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Virginia beach vs Plymouth
- A higher percentage of Black residents are in Virginia beach at 19% compared to 3% in Plymouth.
- The percentage of White residents is higher in Plymouth at 89% compared to 56% in Virginia beach.
- The Asian population is larger in Virginia beach at 7% compared to 2% in Plymouth.
- The Hispanic community is larger in Virginia beach at 9% compared to 2% in Plymouth.
- More residents identify as two or more races in Virginia beach at 9% compared to 4% in Plymouth.
- The percentage of American Indian residents is the same in both Virginia beach and Plymouth at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Virginia beach | Plymouth |
|---|---|---|
| Mental Health Not Good | 14.5% | 13.6% |
| Physical Health Not Good | 9.3% | 7.7% |
| Depression | 20.4% | 22.2% |
| Smoking | 13.7% | 12.0% |
| Binge Drinking | 16.8% | 20.9% |
| Obesity | 31.5% | 26.8% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Virginia beach vs Plymouth
- More residents in Virginia beach report poor mental health at 14.5% compared to 13.6% in Plymouth.
- Higher depression rates are seen in Plymouth at 22.2% versus 20.4% in Virginia beach.
- Smoking is more prevalent in Virginia beach at 13.7% compared to 12.0% in Plymouth.
- More residents engage in binge drinking in Plymouth at 20.9% compared to 16.8% in Virginia beach.
- Obesity rates are higher in Virginia beach at 31.5% compared to 26.8% in Plymouth.
- Disability percentages are higher in Virginia beach at 11.0% compared to 9.0% in Plymouth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Virginia beach | Plymouth |
|---|---|---|
| No Schooling | 0.6% (2,931) | 0.1% (10) |
| High School Diploma | 11.8% (53,968) | 8.5% (783) |
| Less than High School | 6.0% (27,564) | 2.4% (220) |
| Bachelor's Degree and Higher | 27.6% (125,790) | 45.4% (4,203) |
Education Levels Comparison: Virginia beach vs Plymouth
- A higher percentage of residents in Virginia beach have no formal schooling at 0.6% compared to 0.1% in Plymouth.
- A higher percentage of residents in Virginia beach hold a high school diploma at 11.8% compared to 8.5% in Plymouth.
- More residents in Virginia beach have less than a high school education at 6.0% compared to 2.4% in Plymouth.
- In Plymouth, a larger share of residents have a bachelor's degree or higher at 45.4% 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.