Demographics details for La crosse, WI vs Petaluma, CA
Population Overview
Compare main population characteristics in La crosse, WI vs Petaluma, CA.
| Data | La crosse | Petaluma |
|---|---|---|
| Population | 51,380 | 58,652 |
| Median Age | 30.0 years | 43.5 years |
| Median Income | $51,836 | $108,527 |
| Married Families | 26.0% | 44.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 3.2 | 3.6 |
Population Comparison: La crosse vs Petaluma
- The population in Petaluma is higher at 58,652, compared to 51,380 in La crosse.
- The median age in Petaluma is higher at 43.5 years, compared to 30.0 years in La crosse.
- Petaluma has a higher median income of $108,527, compared to $51,836 in La crosse.
- In Petaluma, the percentage of married families is higher at 44.0%, compared to 26.0% in La crosse.
- La crosse has a higher poverty level at 10% compared to 7% in Petaluma.
- Petaluma has a higher unemployment rate at 3.6% compared to 3.2% in La crosse.
Demographics
Demographics La crosse vs Petaluma provide insight into the diversity of the communities to compare.
| Demographic | La crosse | Petaluma |
|---|---|---|
| Black | 2 | 1 |
| White | 88 | 62 |
| Asian | 4 | 5 |
| Hispanic | 2 | 20 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: La crosse vs Petaluma
- A higher percentage of Black residents are in La crosse at 2% compared to 1% in Petaluma.
- La crosse has a higher percentage of White residents at 88% compared to 62% in Petaluma.
- In Petaluma, the Asian population stands at 5%, greater than 4% in La crosse.
- Petaluma has a higher percentage of Hispanic residents at 20%, compared to 2% in La crosse.
- The percentage of residents identifying as two or more races is higher in Petaluma at 11%, compared to 4% in La crosse.
- In Petaluma, the percentage of American Indian residents is higher at 1%, compared to 0% in La crosse.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La crosse | Petaluma |
|---|---|---|
| Mental Health Not Good | 15.8% | 15.1% |
| Physical Health Not Good | 10.5% | 9.5% |
| Depression | 25.7% | 20.1% |
| Smoking | 16.8% | 10.5% |
| Binge Drinking | 23.1% | 20.4% |
| Obesity | 36.9% | 27.5% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: La crosse vs Petaluma
- More residents in La crosse report poor mental health at 15.8% compared to 15.1% in Petaluma.
- Depression is more prevalent in La crosse at 25.7% compared to 20.1% in Petaluma.
- Smoking is more prevalent in La crosse at 16.8% compared to 10.5% in Petaluma.
- Binge drinking is more common in La crosse at 23.1% compared to 20.4% in Petaluma.
- Obesity rates are higher in La crosse at 36.9% compared to 27.5% in Petaluma.
- Disability percentages are higher in La crosse at 12.0% 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 | La crosse | Petaluma |
|---|---|---|
| No Schooling | 0.5% (232) | 1.0% (558) |
| High School Diploma | 13.6% (6,986) | 11.0% (6,434) |
| Less than High School | 5.3% (2,721) | 11.1% (6,496) |
| Bachelor's Degree and Higher | 20.8% (10,707) | 32.4% (18,996) |
Education Levels Comparison: La crosse vs Petaluma
- In Petaluma, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in La crosse.
- A higher percentage of residents in La crosse hold a high school diploma at 13.6% 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 5.3% in La crosse.
- In Petaluma, a larger share of residents have a bachelor's degree or higher at 32.4% compared to 20.8% in La crosse.
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.