Demographics details for Petaluma, CA vs Waterman, IL
Population Overview
Compare main population characteristics in Petaluma, CA vs Waterman, IL.
| Data | Petaluma | Waterman |
|---|---|---|
| Population | 58,652 | 1,427 |
| Median Age | 43.5 years | 36.2 years |
| Median Income | $108,527 | $87,292 |
| Married Families | 44.0% | 50.0% |
| Poverty Level | 7% | 6% |
| Unemployment Rate | 3.6 | 4.1 |
Population Comparison: Petaluma vs Waterman
- In Petaluma, the population is higher at 58,652, compared to 1,427 in Waterman.
- Residents in Petaluma have a higher median age of 43.5 years compared to 36.2 years in Waterman.
- Petaluma has a higher median income of $108,527 compared to $87,292 in Waterman.
- In Waterman, the percentage of married families is higher at 50.0%, compared to 44.0% in Petaluma.
- Petaluma has a higher poverty level at 7% compared to 6% in Waterman.
- Waterman has a higher unemployment rate at 4.1% compared to 3.6% in Petaluma.
Demographics
Demographics Petaluma vs Waterman provide insight into the diversity of the communities to compare.
| Demographic | Petaluma | Waterman |
|---|---|---|
| Black | 1 | 2 |
| White | 62 | 78 |
| Asian | 5 | 1 |
| Hispanic | 20 | 10 |
| Two or More Races | 11 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Petaluma vs Waterman
- In Waterman, the percentage of Black residents is higher at 2% compared to 1% in Petaluma.
- The percentage of White residents is higher in Waterman at 78% compared to 62% in Petaluma.
- The Asian population is larger in Petaluma at 5% compared to 1% in Waterman.
- The Hispanic community is larger in Petaluma at 20% compared to 10% in Waterman.
- More residents identify as two or more races in Petaluma at 11% compared to 9% in Waterman.
- A greater percentage of American Indian residents live in Petaluma at 1% compared to 0% in Waterman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Petaluma | Waterman |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.0% |
| Physical Health Not Good | 9.5% | 10.4% |
| Depression | 20.1% | 21.6% |
| Smoking | 10.5% | 16.2% |
| Binge Drinking | 20.4% | 18.7% |
| Obesity | 27.5% | 36.4% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Petaluma vs Waterman
- In Waterman, a higher percentage report poor mental health at 16.0% compared to 15.1% in Petaluma.
- Higher depression rates are seen in Waterman at 21.6% versus 20.1% in Petaluma.
- Waterman has a higher smoking rate at 16.2% compared to 10.5% in Petaluma.
- Binge drinking is more common in Petaluma at 20.4% compared to 18.7% in Waterman.
- Waterman has higher obesity rates at 36.4% compared to 27.5% in Petaluma.
- Disability percentages are the same in both Petaluma and Waterman at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Petaluma | Waterman |
|---|---|---|
| No Schooling | 1.0% (558) | 0.0% (Data is updating) |
| High School Diploma | 11.0% (6,434) | 22.6% (323) |
| Less than High School | 11.1% (6,496) | 8.5% (122) |
| Bachelor's Degree and Higher | 32.4% (18,996) | 15.5% (221) |
Education Levels Comparison: Petaluma vs Waterman
- A higher percentage of residents in Petaluma have no formal schooling at 1.0% compared to 0.0% in Waterman.
- In Waterman, the rate of residents with high school diplomas is higher at 22.6% compared to 11.0% in Petaluma.
- More residents in Petaluma have less than a high school education at 11.1% compared to 8.5% in Waterman.
- A higher percentage of residents in Petaluma hold a bachelor's degree or higher at 32.4% compared to 15.5% in Waterman.
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.