Demographics details for Franklin, VT vs Petaluma, CA
Population Overview
Compare main population characteristics in Franklin, VT vs Petaluma, CA.
| Data | Franklin | Petaluma |
|---|---|---|
| Population | 50,731 | 58,652 |
| Median Age | 40.6 years | 43.5 years |
| Median Income | $73,633 | $108,527 |
| Married Families | 42.0% | 44.0% |
| Poverty Level | 7% | 7% |
| Unemployment Rate | 1.9 | 3.6 |
Population Comparison: Franklin vs Petaluma
- The population in Petaluma is higher at 58,652, compared to 50,731 in Franklin.
- The median age in Petaluma is higher at 43.5 years, compared to 40.6 years in Franklin.
- Petaluma has a higher median income of $108,527, compared to $73,633 in Franklin.
- In Petaluma, the percentage of married families is higher at 44.0%, compared to 42.0% in Franklin.
- The poverty level is identical in both Franklin and Petaluma at 7%.
- Petaluma has a higher unemployment rate at 3.6% compared to 1.9% in Franklin.
Demographics
Demographics Franklin vs Petaluma provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Petaluma |
|---|---|---|
| Black | Data is updating | 1 |
| White | 91 | 62 |
| Asian | 1 | 5 |
| Hispanic | 2 | 20 |
| Two or More Races | 5 | 11 |
| American Indian | 1 | 1 |
Demographics Comparison: Franklin vs Petaluma
- In Petaluma, the percentage of Black residents is higher at 1% compared to 0% in Franklin.
- Franklin has a higher percentage of White residents at 91% compared to 62% in Petaluma.
- In Petaluma, the Asian population stands at 5%, greater than 1% in Franklin.
- Petaluma has a higher percentage of Hispanic residents at 20%, compared to 2% in Franklin.
- The percentage of residents identifying as two or more races is higher in Petaluma at 11%, compared to 5% in Franklin.
- The percentage of American Indian residents is the same in both Franklin and Petaluma at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Petaluma |
|---|---|---|
| Mental Health Not Good | 16.2% | 15.1% |
| Physical Health Not Good | 9.8% | 9.5% |
| Depression | 26.6% | 20.1% |
| Smoking | 17.9% | 10.5% |
| Binge Drinking | 19.8% | 20.4% |
| Obesity | 33.0% | 27.5% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Franklin vs Petaluma
- More residents in Franklin report poor mental health at 16.2% compared to 15.1% in Petaluma.
- Depression is more prevalent in Franklin at 26.6% compared to 20.1% in Petaluma.
- Smoking is more prevalent in Franklin at 17.9% compared to 10.5% in Petaluma.
- More residents engage in binge drinking in Petaluma at 20.4% compared to 19.8% in Franklin.
- Obesity rates are higher in Franklin at 33.0% compared to 27.5% in Petaluma.
- Disability percentages are higher in Franklin at 13.0% compared to 10.0% in Petaluma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Petaluma |
|---|---|---|
| No Schooling | 0.3% (150) | 1.0% (558) |
| High School Diploma | 23.1% (11,696) | 11.0% (6,434) |
| Less than High School | 11.0% (5,575) | 11.1% (6,496) |
| Bachelor's Degree and Higher | 19.1% (9,676) | 32.4% (18,996) |
Education Levels Comparison: Franklin vs Petaluma
- In Petaluma, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Franklin.
- A higher percentage of residents in Franklin hold a high school diploma at 23.1% compared to 11.0% in Petaluma.
- The percentage of residents with less than a high school education is higher in Petaluma at 11.1%, compared to 11.0% in Franklin.
- In Petaluma, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 19.1% in Franklin.
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.