Demographics details for Woodbridge, VA vs Petaluma, CA
Population Overview
Compare main population characteristics in Woodbridge, VA vs Petaluma, CA.
| Data | Woodbridge | Petaluma |
|---|---|---|
| Population | 42,619 | 58,652 |
| Median Age | 34.2 years | 43.5 years |
| Median Income | $93,347 | $108,527 |
| Married Families | 35.0% | 44.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 3.2 | 3.6 |
Population Comparison: Woodbridge vs Petaluma
- The population in Petaluma is higher at 58,652, compared to 42,619 in Woodbridge.
- The median age in Petaluma is higher at 43.5 years, compared to 34.2 years in Woodbridge.
- Petaluma has a higher median income of $108,527, compared to $93,347 in Woodbridge.
- In Petaluma, the percentage of married families is higher at 44.0%, compared to 35.0% in Woodbridge.
- The poverty level is higher in Petaluma at 7%, compared to 5% in Woodbridge.
- Petaluma has a higher unemployment rate at 3.6% compared to 3.2% in Woodbridge.
Demographics
Demographics Woodbridge vs Petaluma provide insight into the diversity of the communities to compare.
| Demographic | Woodbridge | Petaluma |
|---|---|---|
| Black | 26 | 1 |
| White | 10 | 62 |
| Asian | 9 | 5 |
| Hispanic | 41 | 20 |
| Two or More Races | 13 | 11 |
| American Indian | 1 | 1 |
Demographics Comparison: Woodbridge vs Petaluma
- A higher percentage of Black residents are in Woodbridge at 26% compared to 1% in Petaluma.
- The percentage of White residents is higher in Petaluma at 62% compared to 10% in Woodbridge.
- The Asian population is larger in Woodbridge at 9% compared to 5% in Petaluma.
- The Hispanic community is larger in Woodbridge at 41% compared to 20% in Petaluma.
- More residents identify as two or more races in Woodbridge at 13% compared to 11% in Petaluma.
- The percentage of American Indian residents is the same in both Woodbridge and Petaluma at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodbridge | Petaluma |
|---|---|---|
| Mental Health Not Good | 13.3% | 15.1% |
| Physical Health Not Good | 8.3% | 9.5% |
| Depression | 17.4% | 20.1% |
| Smoking | 10.7% | 10.5% |
| Binge Drinking | 16.3% | 20.4% |
| Obesity | 34.0% | 27.5% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Woodbridge vs Petaluma
- In Petaluma, a higher percentage report poor mental health at 15.1% compared to 13.3% in Woodbridge.
- Higher depression rates are seen in Petaluma at 20.1% versus 17.4% in Woodbridge.
- Smoking is more prevalent in Woodbridge at 10.7% compared to 10.5% in Petaluma.
- More residents engage in binge drinking in Petaluma at 20.4% compared to 16.3% in Woodbridge.
- Obesity rates are higher in Woodbridge at 34.0% compared to 27.5% in Petaluma.
- There is a higher percentage of disabled individuals in Petaluma at 10.0% compared to 9.0% in Woodbridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodbridge | Petaluma |
|---|---|---|
| No Schooling | 3.4% (1,450) | 1.0% (558) |
| High School Diploma | 15.8% (6,727) | 11.0% (6,434) |
| Less than High School | 17.5% (7,473) | 11.1% (6,496) |
| Bachelor's Degree and Higher | 20.2% (8,628) | 32.4% (18,996) |
Education Levels Comparison: Woodbridge vs Petaluma
- A higher percentage of residents in Woodbridge have no formal schooling at 3.4% compared to 1.0% in Petaluma.
- A higher percentage of residents in Woodbridge hold a high school diploma at 15.8% compared to 11.0% in Petaluma.
- More residents in Woodbridge have less than a high school education at 17.5% compared to 11.1% in Petaluma.
- In Petaluma, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 20.2% in Woodbridge.
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.