Demographics details for Seattle, WA vs Bluemont, VA
Population Overview
Compare main population characteristics in Seattle, WA vs Bluemont, VA.
| Data | Seattle | Bluemont |
|---|---|---|
| Population | 749,256 | 128 |
| Median Age | 35.4 years | 48.0 years |
| Median Income | $116,068 | $75,000 |
| Married Families | 35.0% | 64.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Seattle vs Bluemont
- In Seattle, the population is higher at 749,256, compared to 128 in Bluemont.
- The median age in Bluemont is higher at 48.0 years, compared to 35.4 years in Seattle.
- Seattle has a higher median income of $116,068 compared to $75,000 in Bluemont.
- In Bluemont, the percentage of married families is higher at 64.0%, compared to 35.0% in Seattle.
- Seattle has a higher poverty level at 9% compared to 5% in Bluemont.
- The unemployment rate in Seattle is higher at 4.6%, compared to 3.5% in Bluemont.
Demographics
Demographics Seattle vs Bluemont provide insight into the diversity of the communities to compare.
| Demographic | Seattle | Bluemont |
|---|---|---|
| Black | 7 | Data is updating |
| White | 59 | 95 |
| Asian | 17 | 1 |
| Hispanic | 7 | 2 |
| Two or More Races | 9 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Seattle vs Bluemont
- A higher percentage of Black residents are in Seattle at 7% compared to 0% in Bluemont.
- The percentage of White residents is higher in Bluemont at 95% compared to 59% in Seattle.
- The Asian population is larger in Seattle at 17% compared to 1% in Bluemont.
- The Hispanic community is larger in Seattle at 7% compared to 2% in Bluemont.
- More residents identify as two or more races in Seattle at 9% compared to 2% in Bluemont.
- A greater percentage of American Indian residents live in Seattle at 1% compared to 0% in Bluemont.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seattle | Bluemont |
|---|---|---|
| Mental Health Not Good | 15.1% | Data is updating% |
| Physical Health Not Good | 8.5% | Data is updating% |
| Depression | 23.6% | Data is updating% |
| Smoking | 8.6% | Data is updating% |
| Binge Drinking | 17.6% | Data is updating% |
| Obesity | 23.8% | Data is updating% |
| Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Seattle vs Bluemont
- More residents in Seattle report poor mental health at 15.1% compared to 0.0% in Bluemont.
- Depression is more prevalent in Seattle at 23.6% compared to 0.0% in Bluemont.
- Smoking is more prevalent in Seattle at 8.6% compared to 0.0% in Bluemont.
- Binge drinking is more common in Seattle at 17.6% compared to 0.0% in Bluemont.
- Obesity rates are higher in Seattle at 23.8% compared to 0.0% in Bluemont.
- Disability percentages are higher in Seattle at 9.0% compared to 0.0% in Bluemont.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seattle | Bluemont |
|---|---|---|
| No Schooling | 0.9% (6,839) | 0.0% (Data is updating) |
| High School Diploma | 5.8% (43,106) | 0.0% (Data is updating) |
| Less than High School | 4.7% (35,004) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 49.4% (369,798) | 0.0% (Data is updating) |
Education Levels Comparison: Seattle vs Bluemont
- A higher percentage of residents in Seattle have no formal schooling at 0.9% compared to 0.0% in Bluemont.
- A higher percentage of residents in Seattle hold a high school diploma at 5.8% compared to 0.0% in Bluemont.
- More residents in Seattle have less than a high school education at 4.7% compared to 0.0% in Bluemont.
- A higher percentage of residents in Seattle hold a bachelor's degree or higher at 49.4% compared to 0.0% in Bluemont.
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.