Demographics details for Virginia beach, VA vs Experiment, GA
Population Overview
Compare main population characteristics in Virginia beach, VA vs Experiment, GA.
| Data | Virginia beach | Experiment |
|---|---|---|
| Population | 455,618 | 2,578 |
| Median Age | 37.1 years | 37.3 years |
| Median Income | $87,544 | $28,955 |
| Married Families | 42.0% | 17.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 2.8 | 4.2 |
Population Comparison: Virginia beach vs Experiment
- In Virginia beach, the population is higher at 455,618, compared to 2,578 in Experiment.
- The median age in Experiment is higher at 37.3 years, compared to 37.1 years in Virginia beach.
- Virginia beach has a higher median income of $87,544 compared to $28,955 in Experiment.
- A higher percentage of married families is found in Virginia beach at 42.0% compared to 17.0% in Experiment.
- The poverty level is higher in Experiment at 13%, compared to 10% in Virginia beach.
- Experiment has a higher unemployment rate at 4.2% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Experiment provide insight into the diversity of the communities to compare.
| Demographic | Virginia beach | Experiment |
|---|---|---|
| Black | 19 | 55 |
| White | 56 | 38 |
| Asian | 7 | Data is updating |
| Hispanic | 9 | 6 |
| Two or More Races | 9 | Data is updating |
| American Indian | Data is updating | 1 |
Demographics Comparison: Virginia beach vs Experiment
- In Experiment, the percentage of Black residents is higher at 55% compared to 19% in Virginia beach.
- Virginia beach has a higher percentage of White residents at 56% compared to 38% in Experiment.
- The Asian population is larger in Virginia beach at 7% compared to 0% in Experiment.
- The Hispanic community is larger in Virginia beach at 9% compared to 6% in Experiment.
- More residents identify as two or more races in Virginia beach at 9% compared to 0% in Experiment.
- In Experiment, 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 | Experiment |
|---|---|---|
| Mental Health Not Good | 14.5% | 22.7% |
| Physical Health Not Good | 9.3% | 19.6% |
| Depression | 20.4% | 22.2% |
| Smoking | 13.7% | 31.3% |
| Binge Drinking | 16.8% | 11.8% |
| Obesity | 31.5% | 44.5% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Virginia beach vs Experiment
- In Experiment, a higher percentage report poor mental health at 22.7% compared to 14.5% in Virginia beach.
- Higher depression rates are seen in Experiment at 22.2% versus 20.4% in Virginia beach.
- Experiment has a higher smoking rate at 31.3% compared to 13.7% in Virginia beach.
- Binge drinking is more common in Virginia beach at 16.8% compared to 11.8% in Experiment.
- Experiment has higher obesity rates at 44.5% compared to 31.5% in Virginia beach.
- There is a higher percentage of disabled individuals in Experiment at 18.0% 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 | Experiment |
|---|---|---|
| No Schooling | 0.6% (2,931) | 3.2% (83) |
| High School Diploma | 11.8% (53,968) | 29.1% (749) |
| Less than High School | 6.0% (27,564) | 33.7% (869) |
| Bachelor's Degree and Higher | 27.6% (125,790) | 3.8% (98) |
Education Levels Comparison: Virginia beach vs Experiment
- In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 0.6% in Virginia beach.
- In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Experiment at 33.7%, 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 3.8% in Experiment.
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.