Demographics details for Crescent, PA vs La crosse, WI
Population Overview
Compare main population characteristics in Crescent, PA vs La crosse, WI.
| Data | Crescent | La crosse |
|---|---|---|
| Population | 2,455 | 51,380 |
| Median Age | 50.8 years | 30.0 years |
| Median Income | $76,116 | $51,836 |
| Married Families | 49.0% | 26.0% |
| Poverty Level | 4% | 10% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Crescent vs La crosse
- The population in La crosse is higher at 51,380, compared to 2,455 in Crescent.
- Residents in Crescent have a higher median age of 50.8 years compared to 30.0 years in La crosse.
- Crescent has a higher median income of $76,116 compared to $51,836 in La crosse.
- A higher percentage of married families is found in Crescent at 49.0% compared to 26.0% in La crosse.
- The poverty level is higher in La crosse at 10%, compared to 4% in Crescent.
- The unemployment rate in Crescent is higher at 3.5%, compared to 3.2% in La crosse.
Demographics
Demographics Crescent vs La crosse provide insight into the diversity of the communities to compare.
| Demographic | Crescent | La crosse |
|---|---|---|
| Black | 1 | 2 |
| White | 92 | 88 |
| Asian | 3 | 4 |
| Hispanic | 3 | 2 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Crescent vs La crosse
- In La crosse, the percentage of Black residents is higher at 2% compared to 1% in Crescent.
- Crescent has a higher percentage of White residents at 92% compared to 88% in La crosse.
- In La crosse, the Asian population stands at 4%, greater than 3% in Crescent.
- The Hispanic community is larger in Crescent at 3% compared to 2% in La crosse.
- The percentage of residents identifying as two or more races is higher in La crosse at 4%, compared to 1% in Crescent.
- The percentage of American Indian residents is the same in both Crescent and La crosse at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crescent | La crosse |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.8% |
| Physical Health Not Good | Data is updating% | 10.5% |
| Depression | Data is updating% | 25.7% |
| Smoking | Data is updating% | 16.8% |
| Binge Drinking | Data is updating% | 23.1% |
| Obesity | Data is updating% | 36.9% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Crescent vs La crosse
- In La crosse, a higher percentage report poor mental health at 15.8% compared to 0.0% in Crescent.
- Higher depression rates are seen in La crosse at 25.7% versus 0.0% in Crescent.
- La crosse has a higher smoking rate at 16.8% compared to 0.0% in Crescent.
- More residents engage in binge drinking in La crosse at 23.1% compared to 0.0% in Crescent.
- La crosse has higher obesity rates at 36.9% compared to 0.0% in Crescent.
- Disability percentages are higher in Crescent at 13.0% 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 | Crescent | La crosse |
|---|---|---|
| No Schooling | 1.1% (27) | 0.5% (232) |
| High School Diploma | 18.3% (449) | 13.6% (6,986) |
| Less than High School | 10.8% (264) | 5.3% (2,721) |
| Bachelor's Degree and Higher | 19.8% (487) | 20.8% (10,707) |
Education Levels Comparison: Crescent vs La crosse
- A higher percentage of residents in Crescent have no formal schooling at 1.1% compared to 0.5% in La crosse.
- A higher percentage of residents in Crescent hold a high school diploma at 18.3% compared to 13.6% in La crosse.
- More residents in Crescent have less than a high school education at 10.8% compared to 5.3% in La crosse.
- In La crosse, a larger share of residents have a bachelor's degree or higher at 20.8% compared to 19.8% in Crescent.
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.