Demographics details for La crosse, WI vs Mentor, MN
Population Overview
Compare main population characteristics in La crosse, WI vs Mentor, MN.
| Data | La crosse | Mentor |
|---|---|---|
| Population | 51,380 | 105 |
| Median Age | 30.0 years | 52.5 years |
| Median Income | $51,836 | $39,583 |
| Married Families | 26.0% | 54.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.2 | 2.5 |
Population Comparison: La crosse vs Mentor
- In La crosse, the population is higher at 51,380, compared to 105 in Mentor.
- The median age in Mentor is higher at 52.5 years, compared to 30.0 years in La crosse.
- La crosse has a higher median income of $51,836 compared to $39,583 in Mentor.
- In Mentor, the percentage of married families is higher at 54.0%, compared to 26.0% in La crosse.
- La crosse has a higher poverty level at 10% compared to 0% in Mentor.
- The unemployment rate in La crosse is higher at 3.2%, compared to 2.5% in Mentor.
Demographics
Demographics La crosse vs Mentor provide insight into the diversity of the communities to compare.
| Demographic | La crosse | Mentor |
|---|---|---|
| Black | 2 | Data is updating |
| White | 88 | 100 |
| Asian | 4 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: La crosse vs Mentor
- A higher percentage of Black residents are in La crosse at 2% compared to 0% in Mentor.
- The percentage of White residents is higher in Mentor at 100% compared to 88% in La crosse.
- The Asian population is larger in La crosse at 4% compared to 0% in Mentor.
- The Hispanic community is larger in La crosse at 2% compared to 0% in Mentor.
- More residents identify as two or more races in La crosse at 4% compared to 0% in Mentor.
- The percentage of American Indian residents is the same in both La crosse and Mentor at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La crosse | Mentor |
|---|---|---|
| Mental Health Not Good | 15.8% | 15.5% |
| Physical Health Not Good | 10.5% | 9.9% |
| Depression | 25.7% | 24.4% |
| Smoking | 16.8% | 19.6% |
| Binge Drinking | 23.1% | 21.8% |
| Obesity | 36.9% | 39.7% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: La crosse vs Mentor
- More residents in La crosse report poor mental health at 15.8% compared to 15.5% in Mentor.
- Depression is more prevalent in La crosse at 25.7% compared to 24.4% in Mentor.
- Mentor has a higher smoking rate at 19.6% compared to 16.8% in La crosse.
- Binge drinking is more common in La crosse at 23.1% compared to 21.8% in Mentor.
- Mentor has higher obesity rates at 39.7% compared to 36.9% in La crosse.
- There is a higher percentage of disabled individuals in Mentor at 19.0% 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 | Mentor |
|---|---|---|
| No Schooling | 0.5% (232) | 0.0% (Data is updating) |
| High School Diploma | 13.6% (6,986) | 43.8% (46) |
| Less than High School | 5.3% (2,721) | 30.5% (32) |
| Bachelor's Degree and Higher | 20.8% (10,707) | 6.7% (7) |
Education Levels Comparison: La crosse vs Mentor
- A higher percentage of residents in La crosse have no formal schooling at 0.5% compared to 0.0% in Mentor.
- In Mentor, the rate of residents with high school diplomas is higher at 43.8% compared to 13.6% in La crosse.
- The percentage of residents with less than a high school education is higher in Mentor at 30.5%, 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 6.7% in Mentor.
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.