Demographics details for La crosse, WI vs White springs, FL
Population Overview
Compare main population characteristics in La crosse, WI vs White springs, FL.
Data | La crosse | White springs |
---|---|---|
Population | 51,380 | 746 |
Median Age | 30.0 years | 33.5 years |
Median Income | $51,836 | $38,631 |
Married Families | 26.0% | 41.0% |
Poverty Level | 10% | 16% |
Unemployment Rate | 3.2 | 4.3 |
Population Comparison: La crosse vs White springs
- In La crosse, the population is higher at 51,380, compared to 746 in White springs.
- The median age in White springs is higher at 33.5 years, compared to 30.0 years in La crosse.
- La crosse has a higher median income of $51,836 compared to $38,631 in White springs.
- In White springs, the percentage of married families is higher at 41.0%, compared to 26.0% in La crosse.
- The poverty level is higher in White springs at 16%, compared to 10% in La crosse.
- White springs has a higher unemployment rate at 4.3% compared to 3.2% in La crosse.
Demographics
Demographics La crosse vs White springs provide insight into the diversity of the communities to compare.
Demographic | La crosse | White springs |
---|---|---|
Black | 2 | 66 |
White | 88 | 33 |
Asian | 4 | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 4 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: La crosse vs White springs
- In White springs, the percentage of Black residents is higher at 66% compared to 2% in La crosse.
- La crosse has a higher percentage of White residents at 88% compared to 33% in White springs.
- The Asian population is larger in La crosse at 4% compared to 0% in White springs.
- The Hispanic community is larger in La crosse at 2% compared to 0% in White springs.
- More residents identify as two or more races in La crosse at 4% compared to 1% in White springs.
- The percentage of American Indian residents is the same in both La crosse and White springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | La crosse | White springs |
---|---|---|
Mental Health Not Good | 15.8% | 18.1% |
Physical Health Not Good | 10.5% | 13.4% |
Depression | 25.7% | 19.4% |
Smoking | 16.8% | 26.4% |
Binge Drinking | 23.1% | 13.7% |
Obesity | 36.9% | 37.4% |
Disability Percentage | 12.0% | 24.0% |
Health Statistics Comparison: La crosse vs White springs
- In White springs, 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 19.4% in White springs.
- White springs has a higher smoking rate at 26.4% compared to 16.8% in La crosse.
- Binge drinking is more common in La crosse at 23.1% compared to 13.7% in White springs.
- White springs has higher obesity rates at 37.4% compared to 36.9% in La crosse.
- There is a higher percentage of disabled individuals in White springs at 24.0% 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 | White springs |
---|---|---|
No Schooling | 0.5% (232) | 1.3% (10) |
High School Diploma | 13.6% (6,986) | 30.3% (226) |
Less than High School | 5.3% (2,721) | 14.1% (105) |
Bachelor's Degree and Higher | 20.8% (10,707) | 11.9% (89) |
Education Levels Comparison: La crosse vs White springs
- In White springs, a larger percentage of residents lack formal schooling at 1.3% compared to 0.5% in La crosse.
- In White springs, the rate of residents with high school diplomas is higher at 30.3% compared to 13.6% in La crosse.
- The percentage of residents with less than a high school education is higher in White springs at 14.1%, 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 11.9% in White springs.
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.