Demographics details for Severn, MD vs Ingalls, MI
Population Overview
Compare main population characteristics in Severn, MD vs Ingalls, MI.
| Data | Severn | Ingalls |
|---|---|---|
| Population | 56,438 | 150 |
| Median Age | 35.9 years | 35.0 years |
| Median Income | $125,330 | $60,000 |
| Married Families | 43.0% | 50.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.0 | 5.0 |
Population Comparison: Severn vs Ingalls
- In Severn, the population is higher at 56,438, compared to 150 in Ingalls.
- Residents in Severn have a higher median age of 35.9 years compared to 35.0 years in Ingalls.
- Severn has a higher median income of $125,330 compared to $60,000 in Ingalls.
- In Ingalls, the percentage of married families is higher at 50.0%, compared to 43.0% in Severn.
- The poverty level is higher in Ingalls at 10%, compared to 5% in Severn.
- Ingalls has a higher unemployment rate at 5.0% compared to 4.0% in Severn.
Demographics
Demographics Severn vs Ingalls provide insight into the diversity of the communities to compare.
| Demographic | Severn | Ingalls |
|---|---|---|
| Black | 34 | Data is updating |
| White | 41 | 90 |
| Asian | 8 | 5 |
| Hispanic | 9 | Data is updating |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Severn vs Ingalls
- A higher percentage of Black residents are in Severn at 34% compared to 0% in Ingalls.
- The percentage of White residents is higher in Ingalls at 90% compared to 41% in Severn.
- The Asian population is larger in Severn at 8% compared to 5% in Ingalls.
- The Hispanic community is larger in Severn at 9% compared to 0% in Ingalls.
- More residents identify as two or more races in Severn at 8% compared to 5% in Ingalls.
- The percentage of American Indian residents is the same in both Severn and Ingalls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Severn | Ingalls |
|---|---|---|
| Mental Health Not Good | 14.1% | Data is updating% |
| Physical Health Not Good | 8.4% | Data is updating% |
| Depression | 18.2% | Data is updating% |
| Smoking | 11.1% | Data is updating% |
| Binge Drinking | 16.1% | Data is updating% |
| Obesity | 36.0% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Severn vs Ingalls
- More residents in Severn report poor mental health at 14.1% compared to 0.0% in Ingalls.
- Depression is more prevalent in Severn at 18.2% compared to 0.0% in Ingalls.
- Smoking is more prevalent in Severn at 11.1% compared to 0.0% in Ingalls.
- Binge drinking is more common in Severn at 16.1% compared to 0.0% in Ingalls.
- Obesity rates are higher in Severn at 36.0% compared to 0.0% in Ingalls.
- Disability percentages are higher in Severn at 8.0% compared to 0.0% in Ingalls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Severn | Ingalls |
|---|---|---|
| No Schooling | 0.9% (487) | 0.0% (Data is updating) |
| High School Diploma | 12.9% (7,270) | 0.0% (Data is updating) |
| Less than High School | 6.1% (3,423) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 29.5% (16,630) | 0.0% (Data is updating) |
Education Levels Comparison: Severn vs Ingalls
- A higher percentage of residents in Severn have no formal schooling at 0.9% compared to 0.0% in Ingalls.
- A higher percentage of residents in Severn hold a high school diploma at 12.9% compared to 0.0% in Ingalls.
- More residents in Severn have less than a high school education at 6.1% compared to 0.0% in Ingalls.
- A higher percentage of residents in Severn hold a bachelor's degree or higher at 29.5% compared to 0.0% in Ingalls.
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.