Demographics details for Keizer, OR vs Virginia beach, VA
Population Overview
Compare main population characteristics in Keizer, OR vs Virginia beach, VA.
| Data | Keizer | Virginia beach |
|---|---|---|
| Population | 38,704 | 455,618 |
| Median Age | 35.8 years | 37.1 years |
| Median Income | $75,753 | $87,544 |
| Married Families | 38.0% | 42.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.6 | 2.8 |
Population Comparison: Keizer vs Virginia beach
- The population in Virginia beach is higher at 455,618, compared to 38,704 in Keizer.
- The median age in Virginia beach is higher at 37.1 years, compared to 35.8 years in Keizer.
- Virginia beach has a higher median income of $87,544, compared to $75,753 in Keizer.
- In Virginia beach, the percentage of married families is higher at 42.0%, compared to 38.0% in Keizer.
- The poverty level is identical in both Keizer and Virginia beach at 10%.
- The unemployment rate in Keizer is higher at 3.6%, compared to 2.8% in Virginia beach.
Demographics
Demographics Keizer vs Virginia beach provide insight into the diversity of the communities to compare.
| Demographic | Keizer | Virginia beach |
|---|---|---|
| Black | 1 | 19 |
| White | 58 | 56 |
| Asian | 1 | 7 |
| Hispanic | 25 | 9 |
| Two or More Races | 14 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Keizer vs Virginia beach
- In Virginia beach, the percentage of Black residents is higher at 19% compared to 1% in Keizer.
- Keizer has a higher percentage of White residents at 58% compared to 56% in Virginia beach.
- In Virginia beach, the Asian population stands at 7%, greater than 1% in Keizer.
- The Hispanic community is larger in Keizer at 25% compared to 9% in Virginia beach.
- More residents identify as two or more races in Keizer at 14% compared to 9% in Virginia beach.
- A greater percentage of American Indian residents live in Keizer at 1% compared to 0% in Virginia beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keizer | Virginia beach |
|---|---|---|
| Mental Health Not Good | 17.9% | 14.5% |
| Physical Health Not Good | 11.4% | 9.3% |
| Depression | 28.5% | 20.4% |
| Smoking | 15.4% | 13.7% |
| Binge Drinking | 16.5% | 16.8% |
| Obesity | 35.7% | 31.5% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Keizer vs Virginia beach
- More residents in Keizer report poor mental health at 17.9% compared to 14.5% in Virginia beach.
- Depression is more prevalent in Keizer at 28.5% compared to 20.4% in Virginia beach.
- Smoking is more prevalent in Keizer at 15.4% compared to 13.7% in Virginia beach.
- More residents engage in binge drinking in Virginia beach at 16.8% compared to 16.5% in Keizer.
- Obesity rates are higher in Keizer at 35.7% compared to 31.5% in Virginia beach.
- Disability percentages are higher in Keizer at 16.0% 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 | Keizer | Virginia beach |
|---|---|---|
| No Schooling | 1.8% (685) | 0.6% (2,931) |
| High School Diploma | 12.7% (4,898) | 11.8% (53,968) |
| Less than High School | 13.9% (5,363) | 6.0% (27,564) |
| Bachelor's Degree and Higher | 17.1% (6,617) | 27.6% (125,790) |
Education Levels Comparison: Keizer vs Virginia beach
- A higher percentage of residents in Keizer have no formal schooling at 1.8% compared to 0.6% in Virginia beach.
- A higher percentage of residents in Keizer hold a high school diploma at 12.7% compared to 11.8% in Virginia beach.
- More residents in Keizer have less than a high school education at 13.9% 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 17.1% in Keizer.
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.