Demographics details for Virginia beach, VA vs Rupert, ID
Population Overview
Compare main population characteristics in Virginia beach, VA vs Rupert, ID.
| Data | Virginia beach | Rupert |
|---|---|---|
| Population | 455,618 | 6,238 |
| Median Age | 37.1 years | 34.1 years |
| Median Income | $87,544 | $53,348 |
| Married Families | 42.0% | 38.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 2.8 | 4.1 |
Population Comparison: Virginia beach vs Rupert
- In Virginia beach, the population is higher at 455,618, compared to 6,238 in Rupert.
- Residents in Virginia beach have a higher median age of 37.1 years compared to 34.1 years in Rupert.
- Virginia beach has a higher median income of $87,544 compared to $53,348 in Rupert.
- A higher percentage of married families is found in Virginia beach at 42.0% compared to 38.0% in Rupert.
- The poverty level is higher in Rupert at 12%, compared to 10% in Virginia beach.
- Rupert has a higher unemployment rate at 4.1% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Rupert provide insight into the diversity of the communities to compare.
| Demographic | Virginia beach | Rupert |
|---|---|---|
| Black | 19 | Data is updating |
| White | 56 | 39 |
| Asian | 7 | Data is updating |
| Hispanic | 9 | 47 |
| Two or More Races | 9 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Virginia beach vs Rupert
- A higher percentage of Black residents are in Virginia beach at 19% compared to 0% in Rupert.
- Virginia beach has a higher percentage of White residents at 56% compared to 39% in Rupert.
- The Asian population is larger in Virginia beach at 7% compared to 0% in Rupert.
- Rupert has a higher percentage of Hispanic residents at 47%, compared to 9% in Virginia beach.
- The percentage of residents identifying as two or more races is higher in Rupert at 13%, compared to 9% in Virginia beach.
- In Rupert, 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 | Rupert |
|---|---|---|
| Mental Health Not Good | 14.5% | 17.5% |
| Physical Health Not Good | 9.3% | 14.9% |
| Depression | 20.4% | 23.0% |
| Smoking | 13.7% | 20.0% |
| Binge Drinking | 16.8% | 14.0% |
| Obesity | 31.5% | 39.7% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Virginia beach vs Rupert
- In Rupert, a higher percentage report poor mental health at 17.5% compared to 14.5% in Virginia beach.
- Higher depression rates are seen in Rupert at 23.0% versus 20.4% in Virginia beach.
- Rupert has a higher smoking rate at 20.0% compared to 13.7% in Virginia beach.
- Binge drinking is more common in Virginia beach at 16.8% compared to 14.0% in Rupert.
- Rupert has higher obesity rates at 39.7% compared to 31.5% in Virginia beach.
- There is a higher percentage of disabled individuals in Rupert at 14.0% 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 | Rupert |
|---|---|---|
| No Schooling | 0.6% (2,931) | 1.7% (107) |
| High School Diploma | 11.8% (53,968) | 16.8% (1,046) |
| Less than High School | 6.0% (27,564) | 25.5% (1,589) |
| Bachelor's Degree and Higher | 27.6% (125,790) | 5.7% (354) |
Education Levels Comparison: Virginia beach vs Rupert
- In Rupert, a larger percentage of residents lack formal schooling at 1.7% compared to 0.6% in Virginia beach.
- In Rupert, the rate of residents with high school diplomas is higher at 16.8% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Rupert at 25.5%, 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 5.7% in Rupert.
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.