Demographics details for Virginia beach, VA vs Bastrop, TX
Population Overview
Compare main population characteristics in Virginia beach, VA vs Bastrop, TX.
Data | Virginia beach | Bastrop |
---|---|---|
Population | 455,618 | 11,189 |
Median Age | 37.1 years | 40.7 years |
Median Income | $87,544 | $59,087 |
Married Families | 42.0% | 32.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 2.8 | 3.5 |
Population Comparison: Virginia beach vs Bastrop
- In Virginia beach, the population is higher at 455,618, compared to 11,189 in Bastrop.
- The median age in Bastrop is higher at 40.7 years, compared to 37.1 years in Virginia beach.
- Virginia beach has a higher median income of $87,544 compared to $59,087 in Bastrop.
- A higher percentage of married families is found in Virginia beach at 42.0% compared to 32.0% in Bastrop.
- The poverty level is identical in both Virginia beach and Bastrop at 10%.
- Bastrop has a higher unemployment rate at 3.5% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Bastrop provide insight into the diversity of the communities to compare.
Demographic | Virginia beach | Bastrop |
---|---|---|
Black | 19 | 6 |
White | 56 | 52 |
Asian | 7 | 2 |
Hispanic | 9 | 27 |
Two or More Races | 9 | 12 |
American Indian | Data is updating | 1 |
Demographics Comparison: Virginia beach vs Bastrop
- A higher percentage of Black residents are in Virginia beach at 19% compared to 6% in Bastrop.
- Virginia beach has a higher percentage of White residents at 56% compared to 52% in Bastrop.
- The Asian population is larger in Virginia beach at 7% compared to 2% in Bastrop.
- Bastrop has a higher percentage of Hispanic residents at 27%, compared to 9% in Virginia beach.
- The percentage of residents identifying as two or more races is higher in Bastrop at 12%, compared to 9% in Virginia beach.
- In Bastrop, 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 | Bastrop |
---|---|---|
Mental Health Not Good | 14.5% | 15.9% |
Physical Health Not Good | 9.3% | 10.5% |
Depression | 20.4% | 22.6% |
Smoking | 13.7% | 14.9% |
Binge Drinking | 16.8% | 20.1% |
Obesity | 31.5% | 35.5% |
Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Virginia beach vs Bastrop
- In Bastrop, a higher percentage report poor mental health at 15.9% compared to 14.5% in Virginia beach.
- Higher depression rates are seen in Bastrop at 22.6% versus 20.4% in Virginia beach.
- Bastrop has a higher smoking rate at 14.9% compared to 13.7% in Virginia beach.
- More residents engage in binge drinking in Bastrop at 20.1% compared to 16.8% in Virginia beach.
- Bastrop has higher obesity rates at 35.5% compared to 31.5% in Virginia beach.
- There is a higher percentage of disabled individuals in Bastrop 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 | Bastrop |
---|---|---|
No Schooling | 0.6% (2,931) | 0.9% (104) |
High School Diploma | 11.8% (53,968) | 16.7% (1,863) |
Less than High School | 6.0% (27,564) | 15.0% (1,677) |
Bachelor's Degree and Higher | 27.6% (125,790) | 20.1% (2,245) |
Education Levels Comparison: Virginia beach vs Bastrop
- In Bastrop, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Virginia beach.
- In Bastrop, the rate of residents with high school diplomas is higher at 16.7% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Bastrop at 15.0%, 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 20.1% in Bastrop.
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.