Demographics details for Bryantown, MD vs Seaside, CA
Population Overview
Compare main population characteristics in Bryantown, MD vs Seaside, CA.
| Data | Bryantown | Seaside |
|---|---|---|
| Population | 620 | 31,478 |
| Median Age | 41.0 years | 34.0 years |
| Median Income | $123,785 | $80,239 |
| Married Families | 55.0% | 36.0% |
| Poverty Level | 4% | 13% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Bryantown vs Seaside
- The population in Seaside is higher at 31,478, compared to 620 in Bryantown.
- Residents in Bryantown have a higher median age of 41.0 years compared to 34.0 years in Seaside.
- Bryantown has a higher median income of $123,785 compared to $80,239 in Seaside.
- A higher percentage of married families is found in Bryantown at 55.0% compared to 36.0% in Seaside.
- The poverty level is higher in Seaside at 13%, compared to 4% in Bryantown.
- Seaside has a higher unemployment rate at 4.1% compared to 3.5% in Bryantown.
Demographics
Demographics Bryantown vs Seaside provide insight into the diversity of the communities to compare.
| Demographic | Bryantown | Seaside |
|---|---|---|
| Black | 20 | 6 |
| White | 60 | 24 |
| Asian | Data is updating | 11 |
| Hispanic | 10 | 46 |
| Two or More Races | 10 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bryantown vs Seaside
- A higher percentage of Black residents are in Bryantown at 20% compared to 6% in Seaside.
- Bryantown has a higher percentage of White residents at 60% compared to 24% in Seaside.
- In Seaside, the Asian population stands at 11%, greater than 0% in Bryantown.
- Seaside has a higher percentage of Hispanic residents at 46%, compared to 10% in Bryantown.
- The percentage of residents identifying as two or more races is higher in Seaside at 13%, compared to 10% in Bryantown.
- The percentage of American Indian residents is the same in both Bryantown and Seaside at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryantown | Seaside |
|---|---|---|
| Mental Health Not Good | 14.4% | 16.5% |
| Physical Health Not Good | 9.1% | 12.1% |
| Depression | 17.9% | 18.8% |
| Smoking | 13.3% | 13.4% |
| Binge Drinking | 18.1% | 15.1% |
| Obesity | 39.0% | 27.5% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Bryantown vs Seaside
- In Seaside, a higher percentage report poor mental health at 16.5% compared to 14.4% in Bryantown.
- Higher depression rates are seen in Seaside at 18.8% versus 17.9% in Bryantown.
- Seaside has a higher smoking rate at 13.4% compared to 13.3% in Bryantown.
- Binge drinking is more common in Bryantown at 18.1% compared to 15.1% in Seaside.
- Obesity rates are higher in Bryantown at 39.0% compared to 27.5% in Seaside.
- Disability percentages are higher in Bryantown at 16.0% compared to 11.0% in Seaside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bryantown | Seaside |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.8% (565) |
| High School Diploma | 4.5% (28) | 12.2% (3,848) |
| Less than High School | 0.0% (Data is updating) | 22.0% (6,935) |
| Bachelor's Degree and Higher | 33.9% (210) | 16.5% (5,200) |
Education Levels Comparison: Bryantown vs Seaside
- In Seaside, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Bryantown.
- In Seaside, the rate of residents with high school diplomas is higher at 12.2% compared to 4.5% in Bryantown.
- The percentage of residents with less than a high school education is higher in Seaside at 22.0%, compared to 0.0% in Bryantown.
- A higher percentage of residents in Bryantown hold a bachelor's degree or higher at 33.9% compared to 16.5% in Seaside.
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.