Demographics details for La crosse, WI vs Cushing, OK
Population Overview
Compare main population characteristics in La crosse, WI vs Cushing, OK.
| Data | La crosse | Cushing |
|---|---|---|
| Population | 51,380 | 8,345 |
| Median Age | 30.0 years | 35.8 years |
| Median Income | $51,836 | $46,602 |
| Married Families | 26.0% | 35.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: La crosse vs Cushing
- In La crosse, the population is higher at 51,380, compared to 8,345 in Cushing.
- The median age in Cushing is higher at 35.8 years, compared to 30.0 years in La crosse.
- La crosse has a higher median income of $51,836 compared to $46,602 in Cushing.
- In Cushing, the percentage of married families is higher at 35.0%, compared to 26.0% in La crosse.
- The poverty level is higher in Cushing at 13%, compared to 10% in La crosse.
- Cushing has a higher unemployment rate at 3.5% compared to 3.2% in La crosse.
Demographics
Demographics La crosse vs Cushing provide insight into the diversity of the communities to compare.
| Demographic | La crosse | Cushing |
|---|---|---|
| Black | 2 | 6 |
| White | 88 | 70 |
| Asian | 4 | Data is updating |
| Hispanic | 2 | 6 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 9 |
Demographics Comparison: La crosse vs Cushing
- In Cushing, the percentage of Black residents is higher at 6% compared to 2% in La crosse.
- La crosse has a higher percentage of White residents at 88% compared to 70% in Cushing.
- The Asian population is larger in La crosse at 4% compared to 0% in Cushing.
- Cushing has a higher percentage of Hispanic residents at 6%, compared to 2% in La crosse.
- The percentage of residents identifying as two or more races is higher in Cushing at 9%, compared to 4% in La crosse.
- In Cushing, the percentage of American Indian residents is higher at 9%, compared to 0% in La crosse.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La crosse | Cushing |
|---|---|---|
| Mental Health Not Good | 15.8% | 19.1% |
| Physical Health Not Good | 10.5% | 13.6% |
| Depression | 25.7% | 25.6% |
| Smoking | 16.8% | 22.3% |
| Binge Drinking | 23.1% | 15.0% |
| Obesity | 36.9% | 42.5% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: La crosse vs Cushing
- In Cushing, a higher percentage report poor mental health at 19.1% compared to 15.8% in La crosse.
- Depression is more prevalent in La crosse at 25.7% compared to 25.6% in Cushing.
- Cushing 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 15.0% in Cushing.
- Cushing has higher obesity rates at 42.5% compared to 36.9% in La crosse.
- There is a higher percentage of disabled individuals in Cushing at 15.0% 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 | Cushing |
|---|---|---|
| No Schooling | 0.5% (232) | 0.5% (41) |
| High School Diploma | 13.6% (6,986) | 25.8% (2,152) |
| Less than High School | 5.3% (2,721) | 13.3% (1,108) |
| Bachelor's Degree and Higher | 20.8% (10,707) | 11.0% (918) |
Education Levels Comparison: La crosse vs Cushing
- The percentage of residents with no formal schooling is the same in both La crosse and Cushing at 0.5%.
- In Cushing, the rate of residents with high school diplomas is higher at 25.8% compared to 13.6% in La crosse.
- The percentage of residents with less than a high school education is higher in Cushing at 13.3%, 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 11.0% in Cushing.
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.