Demographics details for La crosse, WI vs Monroe city, MO
Population Overview
Compare main population characteristics in La crosse, WI vs Monroe city, MO.
| Data | La crosse | Monroe city |
|---|---|---|
| Population | 51,380 | 2,650 |
| Median Age | 30.0 years | 40.1 years |
| Median Income | $51,836 | $50,885 |
| Married Families | 26.0% | 42.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: La crosse vs Monroe city
- In La crosse, the population is higher at 51,380, compared to 2,650 in Monroe city.
- The median age in Monroe city is higher at 40.1 years, compared to 30.0 years in La crosse.
- La crosse has a higher median income of $51,836 compared to $50,885 in Monroe city.
- In Monroe city, the percentage of married families is higher at 42.0%, compared to 26.0% in La crosse.
- The poverty level is higher in Monroe city at 13%, compared to 10% in La crosse.
- The unemployment rate is the same in both La crosse and Monroe city at 3.2%.
Demographics
Demographics La crosse vs Monroe city provide insight into the diversity of the communities to compare.
| Demographic | La crosse | Monroe city |
|---|---|---|
| Black | 2 | 11 |
| White | 88 | 79 |
| Asian | 4 | 2 |
| Hispanic | 2 | 1 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | 2 |
Demographics Comparison: La crosse vs Monroe city
- In Monroe city, the percentage of Black residents is higher at 11% compared to 2% in La crosse.
- La crosse has a higher percentage of White residents at 88% compared to 79% in Monroe city.
- The Asian population is larger in La crosse at 4% compared to 2% in Monroe city.
- The Hispanic community is larger in La crosse at 2% compared to 1% in Monroe city.
- The percentage of residents identifying as two or more races is higher in Monroe city at 5%, compared to 4% in La crosse.
- In Monroe city, the percentage of American Indian residents is higher at 2%, compared to 0% in La crosse.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La crosse | Monroe city |
|---|---|---|
| Mental Health Not Good | 15.8% | 18.6% |
| Physical Health Not Good | 10.5% | 13.1% |
| Depression | 25.7% | 25.7% |
| Smoking | 16.8% | 22.3% |
| Binge Drinking | 23.1% | 17.7% |
| Obesity | 36.9% | 41.5% |
| Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: La crosse vs Monroe city
- In Monroe city, a higher percentage report poor mental health at 18.6% compared to 15.8% in La crosse.
- Both cities have comparable depression rates at 25.7%.
- Monroe city has a higher smoking rate at 22.3% compared to 16.8% in La crosse.
- Binge drinking is more common in La crosse at 23.1% compared to 17.7% in Monroe city.
- Monroe city has higher obesity rates at 41.5% compared to 36.9% in La crosse.
- There is a higher percentage of disabled individuals in Monroe city at 21.0% 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 | Monroe city |
|---|---|---|
| No Schooling | 0.5% (232) | 0.5% (13) |
| High School Diploma | 13.6% (6,986) | 33.2% (880) |
| Less than High School | 5.3% (2,721) | 20.6% (545) |
| Bachelor's Degree and Higher | 20.8% (10,707) | 12.2% (323) |
Education Levels Comparison: La crosse vs Monroe city
- The percentage of residents with no formal schooling is the same in both La crosse and Monroe city at 0.5%.
- In Monroe city, the rate of residents with high school diplomas is higher at 33.2% compared to 13.6% in La crosse.
- The percentage of residents with less than a high school education is higher in Monroe city at 20.6%, 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 12.2% in Monroe city.
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.