Demographics details for Severn, MD vs Southfield, MI
Population Overview
Compare main population characteristics in Severn, MD vs Southfield, MI.
| Data | Severn | Southfield |
|---|---|---|
| Population | 56,438 | 75,431 |
| Median Age | 35.9 years | 42.1 years |
| Median Income | $125,330 | $63,980 |
| Married Families | 43.0% | 31.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 4.0 | 6.2 |
Population Comparison: Severn vs Southfield
- The population in Southfield is higher at 75,431, compared to 56,438 in Severn.
- The median age in Southfield is higher at 42.1 years, compared to 35.9 years in Severn.
- Severn has a higher median income of $125,330 compared to $63,980 in Southfield.
- A higher percentage of married families is found in Severn at 43.0% compared to 31.0% in Southfield.
- The poverty level is higher in Southfield at 13%, compared to 5% in Severn.
- Southfield has a higher unemployment rate at 6.2% compared to 4.0% in Severn.
Demographics
Demographics Severn vs Southfield provide insight into the diversity of the communities to compare.
| Demographic | Severn | Southfield |
|---|---|---|
| Black | 34 | 66 |
| White | 41 | 23 |
| Asian | 8 | 2 |
| Hispanic | 9 | 2 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Severn vs Southfield
- In Southfield, the percentage of Black residents is higher at 66% compared to 34% in Severn.
- Severn has a higher percentage of White residents at 41% compared to 23% in Southfield.
- The Asian population is larger in Severn at 8% compared to 2% in Southfield.
- The Hispanic community is larger in Severn at 9% compared to 2% in Southfield.
- More residents identify as two or more races in Severn at 8% compared to 7% in Southfield.
- The percentage of American Indian residents is the same in both Severn and Southfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Severn | Southfield |
|---|---|---|
| Mental Health Not Good | 14.1% | 15.4% |
| Physical Health Not Good | 8.4% | 9.9% |
| Depression | 18.2% | 17.6% |
| Smoking | 11.1% | 14.8% |
| Binge Drinking | 16.1% | 14.9% |
| Obesity | 36.0% | 38.1% |
| Disability Percentage | 8.0% | 17.0% |
Health Statistics Comparison: Severn vs Southfield
- In Southfield, a higher percentage report poor mental health at 15.4% compared to 14.1% in Severn.
- Depression is more prevalent in Severn at 18.2% compared to 17.6% in Southfield.
- Southfield has a higher smoking rate at 14.8% compared to 11.1% in Severn.
- Binge drinking is more common in Severn at 16.1% compared to 14.9% in Southfield.
- Southfield has higher obesity rates at 38.1% compared to 36.0% in Severn.
- There is a higher percentage of disabled individuals in Southfield at 17.0% compared to 8.0% in Severn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Severn | Southfield |
|---|---|---|
| No Schooling | 0.9% (487) | 1.2% (870) |
| High School Diploma | 12.9% (7,270) | 12.0% (9,038) |
| Less than High School | 6.1% (3,423) | 6.1% (4,623) |
| Bachelor's Degree and Higher | 29.5% (16,630) | 27.5% (20,760) |
Education Levels Comparison: Severn vs Southfield
- In Southfield, a larger percentage of residents lack formal schooling at 1.2% compared to 0.9% in Severn.
- A higher percentage of residents in Severn hold a high school diploma at 12.9% compared to 12.0% in Southfield.
- Both cities report the same percentage of residents with less than a high school education at 6.1%.
- A higher percentage of residents in Severn hold a bachelor's degree or higher at 29.5% compared to 27.5% in Southfield.
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.