Demographics details for Ashton, WV vs Severn, MD
Population Overview
Compare main population characteristics in Ashton, WV vs Severn, MD.
| Data | Ashton | Severn |
|---|---|---|
| Population | 200 | 56,438 |
| Median Age | 38.0 years | 35.9 years |
| Median Income | $50,000 | $125,330 |
| Married Families | 50.0% | 43.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 5.0 | 4.0 |
Population Comparison: Ashton vs Severn
- The population in Severn is higher at 56,438, compared to 200 in Ashton.
- Residents in Ashton have a higher median age of 38.0 years compared to 35.9 years in Severn.
- Severn has a higher median income of $125,330, compared to $50,000 in Ashton.
- A higher percentage of married families is found in Ashton at 50.0% compared to 43.0% in Severn.
- Ashton has a higher poverty level at 10% compared to 5% in Severn.
- The unemployment rate in Ashton is higher at 5.0%, compared to 4.0% in Severn.
Demographics
Demographics Ashton vs Severn provide insight into the diversity of the communities to compare.
| Demographic | Ashton | Severn |
|---|---|---|
| Black | Data is updating | 34 |
| White | 95 | 41 |
| Asian | 2 | 8 |
| Hispanic | 1 | 9 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ashton vs Severn
- In Severn, the percentage of Black residents is higher at 34% compared to 0% in Ashton.
- Ashton has a higher percentage of White residents at 95% compared to 41% in Severn.
- In Severn, the Asian population stands at 8%, greater than 2% in Ashton.
- Severn has a higher percentage of Hispanic residents at 9%, compared to 1% in Ashton.
- The percentage of residents identifying as two or more races is higher in Severn at 8%, compared to 2% in Ashton.
- The percentage of American Indian residents is the same in both Ashton and Severn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ashton | Severn |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.1% |
| Physical Health Not Good | Data is updating% | 8.4% |
| Depression | Data is updating% | 18.2% |
| Smoking | Data is updating% | 11.1% |
| Binge Drinking | Data is updating% | 16.1% |
| Obesity | Data is updating% | 36.0% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Ashton vs Severn
- In Severn, a higher percentage report poor mental health at 14.1% compared to 0.0% in Ashton.
- Higher depression rates are seen in Severn at 18.2% versus 0.0% in Ashton.
- Severn has a higher smoking rate at 11.1% compared to 0.0% in Ashton.
- More residents engage in binge drinking in Severn at 16.1% compared to 0.0% in Ashton.
- Severn has higher obesity rates at 36.0% compared to 0.0% in Ashton.
- There is a higher percentage of disabled individuals in Severn at 8.0% compared to 0.0% in Ashton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ashton | Severn |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (487) |
| High School Diploma | 0.0% (Data is updating) | 12.9% (7,270) |
| Less than High School | 0.0% (Data is updating) | 6.1% (3,423) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 29.5% (16,630) |
Education Levels Comparison: Ashton vs Severn
- In Severn, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Ashton.
- In Severn, the rate of residents with high school diplomas is higher at 12.9% compared to 0.0% in Ashton.
- The percentage of residents with less than a high school education is higher in Severn at 6.1%, compared to 0.0% in Ashton.
- In Severn, a larger share of residents have a bachelor's degree or higher at 29.5% compared to 0.0% in Ashton.
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.