Demographics details for Windermere, FL vs Kenosha, WI
Population Overview
Compare main population characteristics in Windermere, FL vs Kenosha, WI.
| Data | Windermere | Kenosha |
|---|---|---|
| Population | 3,057 | 98,484 |
| Median Age | 52.7 years | 36.3 years |
| Median Income | $143,988 | $64,963 |
| Married Families | 55.0% | 35.0% |
| Poverty Level | Data is updating | 13% |
| Unemployment Rate | 3.0 | 4.1 |
Population Comparison: Windermere vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 3,057 in Windermere.
- Residents in Windermere have a higher median age of 52.7 years compared to 36.3 years in Kenosha.
- Windermere has a higher median income of $143,988 compared to $64,963 in Kenosha.
- A higher percentage of married families is found in Windermere at 55.0% compared to 35.0% in Kenosha.
- The poverty level is higher in Kenosha at 13%, compared to 0% in Windermere.
- Kenosha has a higher unemployment rate at 4.1% compared to 3.0% in Windermere.
Demographics
Demographics Windermere vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Windermere | Kenosha |
|---|---|---|
| Black | 5 | 10 |
| White | 78 | 57 |
| Asian | 5 | 2 |
| Hispanic | 6 | 18 |
| Two or More Races | 6 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Windermere vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 5% in Windermere.
- Windermere has a higher percentage of White residents at 78% compared to 57% in Kenosha.
- The Asian population is larger in Windermere at 5% compared to 2% in Kenosha.
- Kenosha has a higher percentage of Hispanic residents at 18%, compared to 6% in Windermere.
- The percentage of residents identifying as two or more races is higher in Kenosha at 12%, compared to 6% in Windermere.
- In Kenosha, the percentage of American Indian residents is higher at 1%, compared to 0% in Windermere.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Windermere | Kenosha |
|---|---|---|
| Mental Health Not Good | 13.0% | 15.7% |
| Physical Health Not Good | 7.3% | 11.1% |
| Depression | 16.8% | 23.4% |
| Smoking | 11.2% | 17.1% |
| Binge Drinking | 16.8% | 22.4% |
| Obesity | 23.3% | 38.8% |
| Disability Percentage | 4.0% | 14.0% |
Health Statistics Comparison: Windermere vs Kenosha
- In Kenosha, a higher percentage report poor mental health at 15.7% compared to 13.0% in Windermere.
- Higher depression rates are seen in Kenosha at 23.4% versus 16.8% in Windermere.
- Kenosha has a higher smoking rate at 17.1% compared to 11.2% in Windermere.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 16.8% in Windermere.
- Kenosha has higher obesity rates at 38.8% compared to 23.3% in Windermere.
- There is a higher percentage of disabled individuals in Kenosha at 14.0% compared to 4.0% in Windermere.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Windermere | Kenosha |
|---|---|---|
| No Schooling | 0.3% (8) | 1.1% (1,036) |
| High School Diploma | 5.9% (181) | 15.4% (15,122) |
| Less than High School | 3.2% (97) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 50.8% (1,552) | 18.1% (17,852) |
Education Levels Comparison: Windermere vs Kenosha
- In Kenosha, a larger percentage of residents lack formal schooling at 1.1% compared to 0.3% in Windermere.
- In Kenosha, the rate of residents with high school diplomas is higher at 15.4% compared to 5.9% in Windermere.
- The percentage of residents with less than a high school education is higher in Kenosha at 12.9%, compared to 3.2% in Windermere.
- A higher percentage of residents in Windermere hold a bachelor's degree or higher at 50.8% compared to 18.1% in Kenosha.
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.