Demographics details for Rayland, OH vs La crosse, WI
Population Overview
Compare main population characteristics in Rayland, OH vs La crosse, WI.
| Data | Rayland | La crosse |
|---|---|---|
| Population | 384 | 51,380 |
| Median Age | 48.5 years | 30.0 years |
| Median Income | $56,875 | $51,836 |
| Married Families | 46.0% | 26.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Rayland vs La crosse
- The population in La crosse is higher at 51,380, compared to 384 in Rayland.
- Residents in Rayland have a higher median age of 48.5 years compared to 30.0 years in La crosse.
- Rayland has a higher median income of $56,875 compared to $51,836 in La crosse.
- A higher percentage of married families is found in Rayland at 46.0% compared to 26.0% in La crosse.
- Rayland has a higher poverty level at 16% compared to 10% in La crosse.
- The unemployment rate in Rayland is higher at 4.5%, compared to 3.2% in La crosse.
Demographics
Demographics Rayland vs La crosse provide insight into the diversity of the communities to compare.
| Demographic | Rayland | La crosse |
|---|---|---|
| Black | Data is updating | 2 |
| White | 98 | 88 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 2 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rayland vs La crosse
- In La crosse, the percentage of Black residents is higher at 2% compared to 0% in Rayland.
- Rayland has a higher percentage of White residents at 98% compared to 88% in La crosse.
- In La crosse, the Asian population stands at 4%, greater than 0% in Rayland.
- La crosse has a higher percentage of Hispanic residents at 2%, compared to 0% in Rayland.
- The percentage of residents identifying as two or more races is higher in La crosse at 4%, compared to 2% in Rayland.
- The percentage of American Indian residents is the same in both Rayland and La crosse at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rayland | La crosse |
|---|---|---|
| Mental Health Not Good | 19.8% | 15.8% |
| Physical Health Not Good | 13.6% | 10.5% |
| Depression | 25.8% | 25.7% |
| Smoking | 25.7% | 16.8% |
| Binge Drinking | 18.0% | 23.1% |
| Obesity | 41.8% | 36.9% |
| Disability Percentage | 24.0% | 12.0% |
Health Statistics Comparison: Rayland vs La crosse
- More residents in Rayland report poor mental health at 19.8% compared to 15.8% in La crosse.
- Depression is more prevalent in Rayland at 25.8% compared to 25.7% in La crosse.
- Smoking is more prevalent in Rayland at 25.7% compared to 16.8% in La crosse.
- More residents engage in binge drinking in La crosse at 23.1% compared to 18.0% in Rayland.
- Obesity rates are higher in Rayland at 41.8% compared to 36.9% in La crosse.
- Disability percentages are higher in Rayland 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 | Rayland | La crosse |
|---|---|---|
| No Schooling | 1.0% (4) | 0.5% (232) |
| High School Diploma | 35.4% (136) | 13.6% (6,986) |
| Less than High School | 9.9% (38) | 5.3% (2,721) |
| Bachelor's Degree and Higher | 7.3% (28) | 20.8% (10,707) |
Education Levels Comparison: Rayland vs La crosse
- A higher percentage of residents in Rayland have no formal schooling at 1.0% compared to 0.5% in La crosse.
- A higher percentage of residents in Rayland hold a high school diploma at 35.4% compared to 13.6% in La crosse.
- More residents in Rayland have less than a high school education at 9.9% 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 7.3% in Rayland.
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.