Demographics details for Vernon, TX vs Virginia beach, VA
Population Overview
Compare main population characteristics in Vernon, TX vs Virginia beach, VA.
| Data | Vernon | Virginia beach |
|---|---|---|
| Population | 9,745 | 455,618 |
| Median Age | 36.7 years | 37.1 years |
| Median Income | $47,528 | $87,544 |
| Married Families | 33.0% | 42.0% |
| Poverty Level | 19% | 10% |
| Unemployment Rate | 5.3 | 2.8 |
Population Comparison: Vernon vs Virginia beach
- The population in Virginia beach is higher at 455,618, compared to 9,745 in Vernon.
- The median age in Virginia beach is higher at 37.1 years, compared to 36.7 years in Vernon.
- Virginia beach has a higher median income of $87,544, compared to $47,528 in Vernon.
- In Virginia beach, the percentage of married families is higher at 42.0%, compared to 33.0% in Vernon.
- Vernon has a higher poverty level at 19% compared to 10% in Virginia beach.
- The unemployment rate in Vernon is higher at 5.3%, compared to 2.8% in Virginia beach.
Demographics
Demographics Vernon vs Virginia beach provide insight into the diversity of the communities to compare.
| Demographic | Vernon | Virginia beach |
|---|---|---|
| Black | 8 | 19 |
| White | 37 | 56 |
| Asian | 4 | 7 |
| Hispanic | 35 | 9 |
| Two or More Races | 15 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Vernon vs Virginia beach
- In Virginia beach, the percentage of Black residents is higher at 19% compared to 8% in Vernon.
- The percentage of White residents is higher in Virginia beach at 56% compared to 37% in Vernon.
- In Virginia beach, the Asian population stands at 7%, greater than 4% in Vernon.
- The Hispanic community is larger in Vernon at 35% compared to 9% in Virginia beach.
- More residents identify as two or more races in Vernon at 15% compared to 9% in Virginia beach.
- A greater percentage of American Indian residents live in Vernon at 1% compared to 0% in Virginia beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Vernon | Virginia beach |
|---|---|---|
| Mental Health Not Good | 20.2% | 14.5% |
| Physical Health Not Good | 15.2% | 9.3% |
| Depression | 25.2% | 20.4% |
| Smoking | 22.9% | 13.7% |
| Binge Drinking | 16.7% | 16.8% |
| Obesity | 41.1% | 31.5% |
| Disability Percentage | 24.0% | 11.0% |
Health Statistics Comparison: Vernon vs Virginia beach
- More residents in Vernon report poor mental health at 20.2% compared to 14.5% in Virginia beach.
- Depression is more prevalent in Vernon at 25.2% compared to 20.4% in Virginia beach.
- Smoking is more prevalent in Vernon at 22.9% compared to 13.7% in Virginia beach.
- More residents engage in binge drinking in Virginia beach at 16.8% compared to 16.7% in Vernon.
- Obesity rates are higher in Vernon at 41.1% compared to 31.5% in Virginia beach.
- Disability percentages are higher in Vernon at 24.0% 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 | Vernon | Virginia beach |
|---|---|---|
| No Schooling | 2.0% (196) | 0.6% (2,931) |
| High School Diploma | 18.4% (1,796) | 11.8% (53,968) |
| Less than High School | 28.4% (2,763) | 6.0% (27,564) |
| Bachelor's Degree and Higher | 10.0% (976) | 27.6% (125,790) |
Education Levels Comparison: Vernon vs Virginia beach
- A higher percentage of residents in Vernon have no formal schooling at 2.0% compared to 0.6% in Virginia beach.
- A higher percentage of residents in Vernon hold a high school diploma at 18.4% compared to 11.8% in Virginia beach.
- More residents in Vernon have less than a high school education at 28.4% compared to 6.0% in Virginia beach.
- In Virginia beach, a larger share of residents have a bachelor's degree or higher at 27.6% compared to 10.0% in Vernon.
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.