Demographics details for Seaside, CA vs Powder springs, GA
Population Overview
Compare main population characteristics in Seaside, CA vs Powder springs, GA.
Data | Seaside | Powder springs |
---|---|---|
Population | 31,478 | 17,337 |
Median Age | 34.0 years | 38.7 years |
Median Income | $80,239 | $88,311 |
Married Families | 36.0% | 36.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Seaside vs Powder springs
- In Seaside, the population is higher at 31,478, compared to 17,337 in Powder springs.
- The median age in Powder springs is higher at 38.7 years, compared to 34.0 years in Seaside.
- Powder springs has a higher median income of $88,311, compared to $80,239 in Seaside.
- The percentage of married families is the same in both Seaside and Powder springs at 36.0%.
- Seaside has a higher poverty level at 13% compared to 12% in Powder springs.
- The unemployment rate in Seaside is higher at 4.1%, compared to 3.5% in Powder springs.
Demographics
Demographics Seaside vs Powder springs provide insight into the diversity of the communities to compare.
Demographic | Seaside | Powder springs |
---|---|---|
Black | 6 | 51 |
White | 24 | 22 |
Asian | 11 | 2 |
Hispanic | 46 | 19 |
Two or More Races | 13 | 5 |
American Indian | Data is updating | 1 |
Demographics Comparison: Seaside vs Powder springs
- In Powder springs, the percentage of Black residents is higher at 51% compared to 6% in Seaside.
- Seaside has a higher percentage of White residents at 24% compared to 22% in Powder springs.
- The Asian population is larger in Seaside at 11% compared to 2% in Powder springs.
- The Hispanic community is larger in Seaside at 46% compared to 19% in Powder springs.
- More residents identify as two or more races in Seaside at 13% compared to 5% in Powder springs.
- In Powder springs, the percentage of American Indian residents is higher at 1%, compared to 0% in Seaside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Seaside | Powder springs |
---|---|---|
Mental Health Not Good | 16.5% | 15.0% |
Physical Health Not Good | 12.1% | 10.7% |
Depression | 18.8% | 17.7% |
Smoking | 13.4% | 14.4% |
Binge Drinking | 15.1% | 14.4% |
Obesity | 27.5% | 33.0% |
Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Seaside vs Powder springs
- More residents in Seaside report poor mental health at 16.5% compared to 15.0% in Powder springs.
- Depression is more prevalent in Seaside at 18.8% compared to 17.7% in Powder springs.
- Powder springs has a higher smoking rate at 14.4% compared to 13.4% in Seaside.
- Binge drinking is more common in Seaside at 15.1% compared to 14.4% in Powder springs.
- Powder springs has higher obesity rates at 33.0% compared to 27.5% in Seaside.
- Disability percentages are the same in both Seaside and Powder springs at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Seaside | Powder springs |
---|---|---|
No Schooling | 1.8% (565) | 1.3% (225) |
High School Diploma | 12.2% (3,848) | 15.0% (2,598) |
Less than High School | 22.0% (6,935) | 7.6% (1,309) |
Bachelor's Degree and Higher | 16.5% (5,200) | 26.3% (4,561) |
Education Levels Comparison: Seaside vs Powder springs
- A higher percentage of residents in Seaside have no formal schooling at 1.8% compared to 1.3% in Powder springs.
- In Powder springs, the rate of residents with high school diplomas is higher at 15.0% compared to 12.2% in Seaside.
- More residents in Seaside have less than a high school education at 22.0% compared to 7.6% in Powder springs.
- In Powder springs, a larger share of residents have a bachelor's degree or higher at 26.3% 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.