Demographics details for Weyers cave, VA vs Petaluma, CA
Population Overview
Compare main population characteristics in Weyers cave, VA vs Petaluma, CA.
| Data | Weyers cave | Petaluma |
|---|---|---|
| Population | 2,212 | 58,652 |
| Median Age | 26.6 years | 43.5 years |
| Median Income | $93,384 | $108,527 |
| Married Families | 39.0% | 44.0% |
| Poverty Level | 8% | 7% |
| Unemployment Rate | 2.5 | 3.6 |
Population Comparison: Weyers cave vs Petaluma
- The population in Petaluma is higher at 58,652, compared to 2,212 in Weyers cave.
- The median age in Petaluma is higher at 43.5 years, compared to 26.6 years in Weyers cave.
- Petaluma has a higher median income of $108,527, compared to $93,384 in Weyers cave.
- In Petaluma, the percentage of married families is higher at 44.0%, compared to 39.0% in Weyers cave.
- Weyers cave has a higher poverty level at 8% compared to 7% in Petaluma.
- Petaluma has a higher unemployment rate at 3.6% compared to 2.5% in Weyers cave.
Demographics
Demographics Weyers cave vs Petaluma provide insight into the diversity of the communities to compare.
| Demographic | Weyers cave | Petaluma |
|---|---|---|
| Black | 7 | 1 |
| White | 80 | 62 |
| Asian | Data is updating | 5 |
| Hispanic | 8 | 20 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Weyers cave vs Petaluma
- A higher percentage of Black residents are in Weyers cave at 7% compared to 1% in Petaluma.
- Weyers cave has a higher percentage of White residents at 80% compared to 62% in Petaluma.
- In Petaluma, the Asian population stands at 5%, greater than 0% in Weyers cave.
- Petaluma has a higher percentage of Hispanic residents at 20%, compared to 8% in Weyers cave.
- The percentage of residents identifying as two or more races is higher in Petaluma at 11%, compared to 5% in Weyers cave.
- In Petaluma, the percentage of American Indian residents is higher at 1%, compared to 0% in Weyers cave.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Weyers cave | Petaluma |
|---|---|---|
| Mental Health Not Good | 16.2% | 15.1% |
| Physical Health Not Good | 9.8% | 9.5% |
| Depression | 23.6% | 20.1% |
| Smoking | 14.8% | 10.5% |
| Binge Drinking | 18.6% | 20.4% |
| Obesity | 34.2% | 27.5% |
| Disability Percentage | 4.0% | 10.0% |
Health Statistics Comparison: Weyers cave vs Petaluma
- More residents in Weyers cave report poor mental health at 16.2% compared to 15.1% in Petaluma.
- Depression is more prevalent in Weyers cave at 23.6% compared to 20.1% in Petaluma.
- Smoking is more prevalent in Weyers cave at 14.8% compared to 10.5% in Petaluma.
- More residents engage in binge drinking in Petaluma at 20.4% compared to 18.6% in Weyers cave.
- Obesity rates are higher in Weyers cave at 34.2% compared to 27.5% in Petaluma.
- There is a higher percentage of disabled individuals in Petaluma at 10.0% compared to 4.0% in Weyers cave.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Weyers cave | Petaluma |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (558) |
| High School Diploma | 15.5% (342) | 11.0% (6,434) |
| Less than High School | 3.0% (66) | 11.1% (6,496) |
| Bachelor's Degree and Higher | 26.2% (580) | 32.4% (18,996) |
Education Levels Comparison: Weyers cave vs Petaluma
- In Petaluma, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Weyers cave.
- A higher percentage of residents in Weyers cave hold a high school diploma at 15.5% 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 3.0% in Weyers cave.
- In Petaluma, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 26.2% in Weyers cave.
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.