Demographics details for Silverhill, AL vs Pasadena, MD
Population Overview
Compare main population characteristics in Silverhill, AL vs Pasadena, MD.
| Data | Silverhill | Pasadena |
|---|---|---|
| Population | 1,369 | 32,161 |
| Median Age | 43.0 years | 35.1 years |
| Median Income | $58,510 | $113,944 |
| Married Families | 26.0% | 43.0% |
| Poverty Level | 10% | 6% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Silverhill vs Pasadena
- The population in Pasadena is higher at 32,161, compared to 1,369 in Silverhill.
- Residents in Silverhill have a higher median age of 43.0 years compared to 35.1 years in Pasadena.
- Pasadena has a higher median income of $113,944, compared to $58,510 in Silverhill.
- In Pasadena, the percentage of married families is higher at 43.0%, compared to 26.0% in Silverhill.
- Silverhill has a higher poverty level at 10% compared to 6% in Pasadena.
- Pasadena has a higher unemployment rate at 4.5% compared to 3.5% in Silverhill.
Demographics
Demographics Silverhill vs Pasadena provide insight into the diversity of the communities to compare.
| Demographic | Silverhill | Pasadena |
|---|---|---|
| Black | Data is updating | 17 |
| White | 90 | 66 |
| Asian | Data is updating | 4 |
| Hispanic | 7 | 7 |
| Two or More Races | 2 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Silverhill vs Pasadena
- In Pasadena, the percentage of Black residents is higher at 17% compared to 0% in Silverhill.
- Silverhill has a higher percentage of White residents at 90% compared to 66% in Pasadena.
- In Pasadena, the Asian population stands at 4%, greater than 0% in Silverhill.
- The percentage of Hispanic residents is the same in both Silverhill and Pasadena at 7%.
- The percentage of residents identifying as two or more races is higher in Pasadena at 6%, compared to 2% in Silverhill.
- A greater percentage of American Indian residents live in Silverhill at 1% compared to 0% in Pasadena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Silverhill | Pasadena |
|---|---|---|
| Mental Health Not Good | 18.7% | 15.4% |
| Physical Health Not Good | 12.1% | 9.3% |
| Depression | 24.9% | 21.4% |
| Smoking | 17.6% | 13.2% |
| Binge Drinking | 17.7% | 17.8% |
| Obesity | 38.2% | 35.6% |
| Disability Percentage | 6.0% | 10.0% |
Health Statistics Comparison: Silverhill vs Pasadena
- More residents in Silverhill report poor mental health at 18.7% compared to 15.4% in Pasadena.
- Depression is more prevalent in Silverhill at 24.9% compared to 21.4% in Pasadena.
- Smoking is more prevalent in Silverhill at 17.6% compared to 13.2% in Pasadena.
- More residents engage in binge drinking in Pasadena at 17.8% compared to 17.7% in Silverhill.
- Obesity rates are higher in Silverhill at 38.2% compared to 35.6% in Pasadena.
- There is a higher percentage of disabled individuals in Pasadena at 10.0% compared to 6.0% in Silverhill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Silverhill | Pasadena |
|---|---|---|
| No Schooling | 2.0% (28) | 0.6% (191) |
| High School Diploma | 10.1% (138) | 17.5% (5,624) |
| Less than High School | 5.4% (74) | 8.8% (2,835) |
| Bachelor's Degree and Higher | 11.5% (157) | 23.8% (7,658) |
Education Levels Comparison: Silverhill vs Pasadena
- A higher percentage of residents in Silverhill have no formal schooling at 2.0% compared to 0.6% in Pasadena.
- In Pasadena, the rate of residents with high school diplomas is higher at 17.5% compared to 10.1% in Silverhill.
- The percentage of residents with less than a high school education is higher in Pasadena at 8.8%, compared to 5.4% in Silverhill.
- In Pasadena, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 11.5% in Silverhill.
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.