Demographics details for La crosse, WI vs Sylvan beach, NY
Population Overview
Compare main population characteristics in La crosse, WI vs Sylvan beach, NY.
| Data | La crosse | Sylvan beach |
|---|---|---|
| Population | 51,380 | 885 |
| Median Age | 30.0 years | 50.1 years |
| Median Income | $51,836 | $48,125 |
| Married Families | 26.0% | 32.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: La crosse vs Sylvan beach
- In La crosse, the population is higher at 51,380, compared to 885 in Sylvan beach.
- The median age in Sylvan beach is higher at 50.1 years, compared to 30.0 years in La crosse.
- La crosse has a higher median income of $51,836 compared to $48,125 in Sylvan beach.
- In Sylvan beach, the percentage of married families is higher at 32.0%, compared to 26.0% in La crosse.
- The poverty level is identical in both La crosse and Sylvan beach at 10%.
- Sylvan beach has a higher unemployment rate at 4.5% compared to 3.2% in La crosse.
Demographics
Demographics La crosse vs Sylvan beach provide insight into the diversity of the communities to compare.
| Demographic | La crosse | Sylvan beach |
|---|---|---|
| Black | 2 | Data is updating |
| White | 88 | 94 |
| Asian | 4 | 1 |
| Hispanic | 2 | 1 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: La crosse vs Sylvan beach
- A higher percentage of Black residents are in La crosse at 2% compared to 0% in Sylvan beach.
- The percentage of White residents is higher in Sylvan beach at 94% compared to 88% in La crosse.
- The Asian population is larger in La crosse at 4% compared to 1% in Sylvan beach.
- The Hispanic community is larger in La crosse at 2% compared to 1% in Sylvan beach.
- More residents identify as two or more races in La crosse at 4% compared to 3% in Sylvan beach.
- In Sylvan beach, 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 | Sylvan beach |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.8% |
| Physical Health Not Good | 10.5% | 11.8% |
| Depression | 25.7% | 26.8% |
| Smoking | 16.8% | 24.0% |
| Binge Drinking | 23.1% | 19.7% |
| Obesity | 36.9% | 36.2% |
| Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: La crosse vs Sylvan beach
- In Sylvan beach, a higher percentage report poor mental health at 17.8% compared to 15.8% in La crosse.
- Higher depression rates are seen in Sylvan beach at 26.8% versus 25.7% in La crosse.
- Sylvan beach has a higher smoking rate at 24.0% compared to 16.8% in La crosse.
- Binge drinking is more common in La crosse at 23.1% compared to 19.7% in Sylvan beach.
- Obesity rates are higher in La crosse at 36.9% compared to 36.2% in Sylvan beach.
- There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 12.0% in La crosse.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | La crosse | Sylvan beach |
|---|---|---|
| No Schooling | 0.5% (232) | 0.0% (Data is updating) |
| High School Diploma | 13.6% (6,986) | 28.5% (252) |
| Less than High School | 5.3% (2,721) | 14.5% (128) |
| Bachelor's Degree and Higher | 20.8% (10,707) | 15.6% (138) |
Education Levels Comparison: La crosse vs Sylvan beach
- A higher percentage of residents in La crosse have no formal schooling at 0.5% compared to 0.0% in Sylvan beach.
- In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 13.6% in La crosse.
- The percentage of residents with less than a high school education is higher in Sylvan beach at 14.5%, compared to 5.3% in La crosse.
- A higher percentage of residents in La crosse hold a bachelor's degree or higher at 20.8% compared to 15.6% in Sylvan beach.
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.