Demographics details for San dimas, CA vs Severn, MD
Population Overview
Compare main population characteristics in San dimas, CA vs Severn, MD.
| Data | San dimas | Severn |
|---|---|---|
| Population | 33,535 | 56,438 |
| Median Age | 42.7 years | 35.9 years |
| Median Income | $102,241 | $125,330 |
| Married Families | 44.0% | 43.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 5.2 | 4.0 |
Population Comparison: San dimas vs Severn
- The population in Severn is higher at 56,438, compared to 33,535 in San dimas.
- Residents in San dimas have a higher median age of 42.7 years compared to 35.9 years in Severn.
- Severn has a higher median income of $125,330, compared to $102,241 in San dimas.
- A higher percentage of married families is found in San dimas at 44.0% compared to 43.0% in Severn.
- San dimas has a higher poverty level at 9% compared to 5% in Severn.
- The unemployment rate in San dimas is higher at 5.2%, compared to 4.0% in Severn.
Demographics
Demographics San dimas vs Severn provide insight into the diversity of the communities to compare.
| Demographic | San dimas | Severn |
|---|---|---|
| Black | 3 | 34 |
| White | 25 | 41 |
| Asian | 16 | 8 |
| Hispanic | 37 | 9 |
| Two or More Races | 18 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: San dimas vs Severn
- In Severn, the percentage of Black residents is higher at 34% compared to 3% in San dimas.
- The percentage of White residents is higher in Severn at 41% compared to 25% in San dimas.
- The Asian population is larger in San dimas at 16% compared to 8% in Severn.
- The Hispanic community is larger in San dimas at 37% compared to 9% in Severn.
- More residents identify as two or more races in San dimas at 18% compared to 8% in Severn.
- A greater percentage of American Indian residents live in San dimas at 1% compared to 0% in Severn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San dimas | Severn |
|---|---|---|
| Mental Health Not Good | 14.6% | 14.1% |
| Physical Health Not Good | 9.5% | 8.4% |
| Depression | 16.6% | 18.2% |
| Smoking | 9.3% | 11.1% |
| Binge Drinking | 16.7% | 16.1% |
| Obesity | 26.3% | 36.0% |
| Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: San dimas vs Severn
- More residents in San dimas report poor mental health at 14.6% compared to 14.1% in Severn.
- Higher depression rates are seen in Severn at 18.2% versus 16.6% in San dimas.
- Severn has a higher smoking rate at 11.1% compared to 9.3% in San dimas.
- Binge drinking is more common in San dimas at 16.7% compared to 16.1% in Severn.
- Severn has higher obesity rates at 36.0% compared to 26.3% in San dimas.
- Disability percentages are higher in San dimas at 15.0% 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 | San dimas | Severn |
|---|---|---|
| No Schooling | 1.1% (362) | 0.9% (487) |
| High School Diploma | 13.8% (4,634) | 12.9% (7,270) |
| Less than High School | 8.5% (2,851) | 6.1% (3,423) |
| Bachelor's Degree and Higher | 28.3% (9,476) | 29.5% (16,630) |
Education Levels Comparison: San dimas vs Severn
- A higher percentage of residents in San dimas have no formal schooling at 1.1% compared to 0.9% in Severn.
- A higher percentage of residents in San dimas hold a high school diploma at 13.8% compared to 12.9% in Severn.
- More residents in San dimas have less than a high school education at 8.5% compared to 6.1% in Severn.
- In Severn, a larger share of residents have a bachelor's degree or higher at 29.5% compared to 28.3% in San dimas.
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.