Demographics details for La crosse, WI vs Mount vernon, TX
Population Overview
Compare main population characteristics in La crosse, WI vs Mount vernon, TX.
Data | La crosse | Mount vernon |
---|---|---|
Population | 51,380 | 2,541 |
Median Age | 30.0 years | 31.1 years |
Median Income | $51,836 | $63,750 |
Married Families | 26.0% | 40.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.2 | 4.5 |
Population Comparison: La crosse vs Mount vernon
- In La crosse, the population is higher at 51,380, compared to 2,541 in Mount vernon.
- The median age in Mount vernon is higher at 31.1 years, compared to 30.0 years in La crosse.
- Mount vernon has a higher median income of $63,750, compared to $51,836 in La crosse.
- In Mount vernon, the percentage of married families is higher at 40.0%, compared to 26.0% in La crosse.
- The poverty level is identical in both La crosse and Mount vernon at 10%.
- Mount vernon has a higher unemployment rate at 4.5% compared to 3.2% in La crosse.
Demographics
Demographics La crosse vs Mount vernon provide insight into the diversity of the communities to compare.
Demographic | La crosse | Mount vernon |
---|---|---|
Black | 2 | 15 |
White | 88 | 50 |
Asian | 4 | Data is updating |
Hispanic | 2 | 21 |
Two or More Races | 4 | 14 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: La crosse vs Mount vernon
- In Mount vernon, the percentage of Black residents is higher at 15% compared to 2% in La crosse.
- La crosse has a higher percentage of White residents at 88% compared to 50% in Mount vernon.
- The Asian population is larger in La crosse at 4% compared to 0% in Mount vernon.
- Mount vernon has a higher percentage of Hispanic residents at 21%, compared to 2% in La crosse.
- The percentage of residents identifying as two or more races is higher in Mount vernon at 14%, compared to 4% in La crosse.
- The percentage of American Indian residents is the same in both La crosse and Mount vernon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | La crosse | Mount vernon |
---|---|---|
Mental Health Not Good | 15.8% | 18.1% |
Physical Health Not Good | 10.5% | 11.8% |
Depression | 25.7% | 24.9% |
Smoking | 16.8% | 17.6% |
Binge Drinking | 23.1% | 18.5% |
Obesity | 36.9% | 35.4% |
Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: La crosse vs Mount vernon
- In Mount vernon, a higher percentage report poor mental health at 18.1% compared to 15.8% in La crosse.
- Depression is more prevalent in La crosse at 25.7% compared to 24.9% in Mount vernon.
- Mount vernon has a higher smoking rate at 17.6% compared to 16.8% in La crosse.
- Binge drinking is more common in La crosse at 23.1% compared to 18.5% in Mount vernon.
- Obesity rates are higher in La crosse at 36.9% compared to 35.4% in Mount vernon.
- There is a higher percentage of disabled individuals in Mount vernon at 17.0% 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 | Mount vernon |
---|---|---|
No Schooling | 0.5% (232) | 0.6% (16) |
High School Diploma | 13.6% (6,986) | 15.7% (399) |
Less than High School | 5.3% (2,721) | 21.8% (555) |
Bachelor's Degree and Higher | 20.8% (10,707) | 11.1% (282) |
Education Levels Comparison: La crosse vs Mount vernon
- In Mount vernon, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in La crosse.
- In Mount vernon, the rate of residents with high school diplomas is higher at 15.7% compared to 13.6% in La crosse.
- The percentage of residents with less than a high school education is higher in Mount vernon at 21.8%, 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 11.1% in Mount vernon.
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.