Demographics details for Severn, MD vs Lost hills, CA
Population Overview
Compare main population characteristics in Severn, MD vs Lost hills, CA.
| Data | Severn | Lost hills |
|---|---|---|
| Population | 56,438 | 1,754 |
| Median Age | 35.9 years | 23.8 years |
| Median Income | $125,330 | $41,250 |
| Married Families | 43.0% | 32.0% |
| Poverty Level | 5% | 22% |
| Unemployment Rate | 4.0 | 5.2 |
Population Comparison: Severn vs Lost hills
- In Severn, the population is higher at 56,438, compared to 1,754 in Lost hills.
- Residents in Severn have a higher median age of 35.9 years compared to 23.8 years in Lost hills.
- Severn has a higher median income of $125,330 compared to $41,250 in Lost hills.
- A higher percentage of married families is found in Severn at 43.0% compared to 32.0% in Lost hills.
- The poverty level is higher in Lost hills at 22%, compared to 5% in Severn.
- Lost hills has a higher unemployment rate at 5.2% compared to 4.0% in Severn.
Demographics
Demographics Severn vs Lost hills provide insight into the diversity of the communities to compare.
| Demographic | Severn | Lost hills |
|---|---|---|
| Black | 34 | Data is updating |
| White | 41 | -35 |
| Asian | 8 | 1 |
| Hispanic | 9 | 97 |
| Two or More Races | 8 | 37 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Severn vs Lost hills
- A higher percentage of Black residents are in Severn at 34% compared to 0% in Lost hills.
- Severn has a higher percentage of White residents at 41% compared to -35% in Lost hills.
- The Asian population is larger in Severn at 8% compared to 1% in Lost hills.
- Lost hills has a higher percentage of Hispanic residents at 97%, compared to 9% in Severn.
- The percentage of residents identifying as two or more races is higher in Lost hills at 37%, compared to 8% in Severn.
- The percentage of American Indian residents is the same in both Severn and Lost hills at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Severn | Lost hills |
|---|---|---|
| Mental Health Not Good | 14.1% | 19.6% |
| Physical Health Not Good | 8.4% | 19.8% |
| Depression | 18.2% | 18.9% |
| Smoking | 11.1% | 20.9% |
| Binge Drinking | 16.1% | 13.6% |
| Obesity | 36.0% | 43.3% |
| Disability Percentage | 8.0% | 4.0% |
Health Statistics Comparison: Severn vs Lost hills
- In Lost hills, a higher percentage report poor mental health at 19.6% compared to 14.1% in Severn.
- Higher depression rates are seen in Lost hills at 18.9% versus 18.2% in Severn.
- Lost hills has a higher smoking rate at 20.9% compared to 11.1% in Severn.
- Binge drinking is more common in Severn at 16.1% compared to 13.6% in Lost hills.
- Lost hills has higher obesity rates at 43.3% compared to 36.0% in Severn.
- Disability percentages are higher in Severn at 8.0% compared to 4.0% in Lost hills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Severn | Lost hills |
|---|---|---|
| No Schooling | 0.9% (487) | 3.7% (65) |
| High School Diploma | 12.9% (7,270) | 10.0% (175) |
| Less than High School | 6.1% (3,423) | 64.7% (1,134) |
| Bachelor's Degree and Higher | 29.5% (16,630) | 0.9% (16) |
Education Levels Comparison: Severn vs Lost hills
- In Lost hills, a larger percentage of residents lack formal schooling at 3.7% compared to 0.9% in Severn.
- A higher percentage of residents in Severn hold a high school diploma at 12.9% compared to 10.0% in Lost hills.
- The percentage of residents with less than a high school education is higher in Lost hills at 64.7%, compared to 6.1% in Severn.
- A higher percentage of residents in Severn hold a bachelor's degree or higher at 29.5% compared to 0.9% in Lost hills.
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.