Demographics details for La crosse, WI vs Pavilion, NY
Population Overview
Compare main population characteristics in La crosse, WI vs Pavilion, NY.
Data | La crosse | Pavilion |
---|---|---|
Population | 51,380 | 2,495 |
Median Age | 30.0 years | 40.0 years |
Median Income | $51,836 | $60,000 |
Married Families | 26.0% | 60.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.2 | 4.0 |
Population Comparison: La crosse vs Pavilion
- In La crosse, the population is higher at 51,380, compared to 2,495 in Pavilion.
- The median age in Pavilion is higher at 40.0 years, compared to 30.0 years in La crosse.
- Pavilion has a higher median income of $60,000, compared to $51,836 in La crosse.
- In Pavilion, the percentage of married families is higher at 60.0%, compared to 26.0% in La crosse.
- The poverty level is identical in both La crosse and Pavilion at 10%.
- Pavilion has a higher unemployment rate at 4.0% compared to 3.2% in La crosse.
Demographics
Demographics La crosse vs Pavilion provide insight into the diversity of the communities to compare.
Demographic | La crosse | Pavilion |
---|---|---|
Black | 2 | 2 |
White | 88 | 95 |
Asian | 4 | 1 |
Hispanic | 2 | 1 |
Two or More Races | 4 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: La crosse vs Pavilion
- The percentage of Black residents is the same in both La crosse and Pavilion at 2%.
- The percentage of White residents is higher in Pavilion at 95% compared to 88% in La crosse.
- The Asian population is larger in La crosse at 4% compared to 1% in Pavilion.
- The Hispanic community is larger in La crosse at 2% compared to 1% in Pavilion.
- More residents identify as two or more races in La crosse at 4% compared to 1% in Pavilion.
- The percentage of American Indian residents is the same in both La crosse and Pavilion at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | La crosse | Pavilion |
---|---|---|
Mental Health Not Good | 15.8% | Data is updating% |
Physical Health Not Good | 10.5% | Data is updating% |
Depression | 25.7% | Data is updating% |
Smoking | 16.8% | Data is updating% |
Binge Drinking | 23.1% | Data is updating% |
Obesity | 36.9% | Data is updating% |
Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: La crosse vs Pavilion
- More residents in La crosse report poor mental health at 15.8% compared to 0.0% in Pavilion.
- Depression is more prevalent in La crosse at 25.7% compared to 0.0% in Pavilion.
- Smoking is more prevalent in La crosse at 16.8% compared to 0.0% in Pavilion.
- Binge drinking is more common in La crosse at 23.1% compared to 0.0% in Pavilion.
- Obesity rates are higher in La crosse at 36.9% compared to 0.0% in Pavilion.
- Disability percentages are higher in La crosse at 12.0% compared to 0.0% in Pavilion.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | La crosse | Pavilion |
---|---|---|
No Schooling | 0.5% (232) | 0.0% (Data is updating) |
High School Diploma | 13.6% (6,986) | 0.0% (Data is updating) |
Less than High School | 5.3% (2,721) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 20.8% (10,707) | 0.0% (Data is updating) |
Education Levels Comparison: La crosse vs Pavilion
- A higher percentage of residents in La crosse have no formal schooling at 0.5% compared to 0.0% in Pavilion.
- A higher percentage of residents in La crosse hold a high school diploma at 13.6% compared to 0.0% in Pavilion.
- More residents in La crosse have less than a high school education at 5.3% compared to 0.0% in Pavilion.
- A higher percentage of residents in La crosse hold a bachelor's degree or higher at 20.8% compared to 0.0% in Pavilion.
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.