Demographics details for Petaluma, CA vs Swansea, MA
Population Overview
Compare main population characteristics in Petaluma, CA vs Swansea, MA.
| Data | Petaluma | Swansea |
|---|---|---|
| Population | 58,652 | 16,705 |
| Median Age | 43.5 years | 42.0 years |
| Median Income | $108,527 | $71,000 |
| Married Families | 44.0% | 60.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 3.6 | 3.4 |
Population Comparison: Petaluma vs Swansea
- In Petaluma, the population is higher at 58,652, compared to 16,705 in Swansea.
- Residents in Petaluma have a higher median age of 43.5 years compared to 42.0 years in Swansea.
- Petaluma has a higher median income of $108,527 compared to $71,000 in Swansea.
- In Swansea, the percentage of married families is higher at 60.0%, compared to 44.0% in Petaluma.
- The poverty level is identical in both Petaluma and Swansea at 7%.
- The unemployment rate in Petaluma is higher at 3.6%, compared to 3.4% in Swansea.
Demographics
Demographics Petaluma vs Swansea provide insight into the diversity of the communities to compare.
| Demographic | Petaluma | Swansea |
|---|---|---|
| Black | 1 | 2 |
| White | 62 | 90 |
| Asian | 5 | 1 |
| Hispanic | 20 | 5 |
| Two or More Races | 11 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Petaluma vs Swansea
- In Swansea, the percentage of Black residents is higher at 2% compared to 1% in Petaluma.
- The percentage of White residents is higher in Swansea at 90% compared to 62% in Petaluma.
- The Asian population is larger in Petaluma at 5% compared to 1% in Swansea.
- The Hispanic community is larger in Petaluma at 20% compared to 5% in Swansea.
- More residents identify as two or more races in Petaluma at 11% compared to 2% in Swansea.
- A greater percentage of American Indian residents live in Petaluma at 1% compared to 0% in Swansea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Petaluma | Swansea |
|---|---|---|
| Mental Health Not Good | 15.1% | Data is updating% |
| Physical Health Not Good | 9.5% | Data is updating% |
| Depression | 20.1% | Data is updating% |
| Smoking | 10.5% | Data is updating% |
| Binge Drinking | 20.4% | Data is updating% |
| Obesity | 27.5% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Petaluma vs Swansea
- More residents in Petaluma report poor mental health at 15.1% compared to 0.0% in Swansea.
- Depression is more prevalent in Petaluma at 20.1% compared to 0.0% in Swansea.
- Smoking is more prevalent in Petaluma at 10.5% compared to 0.0% in Swansea.
- Binge drinking is more common in Petaluma at 20.4% compared to 0.0% in Swansea.
- Obesity rates are higher in Petaluma at 27.5% compared to 0.0% in Swansea.
- Disability percentages are higher in Petaluma at 10.0% compared to 0.0% in Swansea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Petaluma | Swansea |
|---|---|---|
| No Schooling | 1.0% (558) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (6,434) | 0.0% (Data is updating) |
| Less than High School | 11.1% (6,496) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 32.4% (18,996) | 0.0% (Data is updating) |
Education Levels Comparison: Petaluma vs Swansea
- A higher percentage of residents in Petaluma have no formal schooling at 1.0% compared to 0.0% in Swansea.
- A higher percentage of residents in Petaluma hold a high school diploma at 11.0% compared to 0.0% in Swansea.
- More residents in Petaluma have less than a high school education at 11.1% compared to 0.0% in Swansea.
- A higher percentage of residents in Petaluma hold a bachelor's degree or higher at 32.4% compared to 0.0% in Swansea.
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.