Demographics details for Kenosha, WI vs West chester, OH
Population Overview
Compare main population characteristics in Kenosha, WI vs West chester, OH.
| Data | Kenosha | West chester |
|---|---|---|
| Population | 98,484 | 64,794 |
| Median Age | 36.3 years | 38.7 years |
| Median Income | $64,963 | $106,150 |
| Married Families | 35.0% | 46.0% |
| Poverty Level | 13% | 4% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Kenosha vs West chester
- In Kenosha, the population is higher at 98,484, compared to 64,794 in West chester.
- The median age in West chester is higher at 38.7 years, compared to 36.3 years in Kenosha.
- West chester has a higher median income of $106,150, compared to $64,963 in Kenosha.
- In West chester, the percentage of married families is higher at 46.0%, compared to 35.0% in Kenosha.
- Kenosha has a higher poverty level at 13% compared to 4% in West chester.
- The unemployment rate in Kenosha is higher at 4.1%, compared to 3.2% in West chester.
Demographics
Demographics Kenosha vs West chester provide insight into the diversity of the communities to compare.
| Demographic | Kenosha | West chester |
|---|---|---|
| Black | 10 | 9 |
| White | 57 | 73 |
| Asian | 2 | 9 |
| Hispanic | 18 | 5 |
| Two or More Races | 12 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kenosha vs West chester
- A higher percentage of Black residents are in Kenosha at 10% compared to 9% in West chester.
- The percentage of White residents is higher in West chester at 73% compared to 57% in Kenosha.
- In West chester, the Asian population stands at 9%, greater than 2% in Kenosha.
- The Hispanic community is larger in Kenosha at 18% compared to 5% in West chester.
- More residents identify as two or more races in Kenosha at 12% compared to 4% in West chester.
- A greater percentage of American Indian residents live in Kenosha at 1% compared to 0% in West chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kenosha | West chester |
|---|---|---|
| Mental Health Not Good | 15.7% | Data is updating% |
| Physical Health Not Good | 11.1% | Data is updating% |
| Depression | 23.4% | Data is updating% |
| Smoking | 17.1% | Data is updating% |
| Binge Drinking | 22.4% | Data is updating% |
| Obesity | 38.8% | Data is updating% |
| Disability Percentage | 14.0% | 8.0% |
Health Statistics Comparison: Kenosha vs West chester
- More residents in Kenosha report poor mental health at 15.7% compared to 0.0% in West chester.
- Depression is more prevalent in Kenosha at 23.4% compared to 0.0% in West chester.
- Smoking is more prevalent in Kenosha at 17.1% compared to 0.0% in West chester.
- Binge drinking is more common in Kenosha at 22.4% compared to 0.0% in West chester.
- Obesity rates are higher in Kenosha at 38.8% compared to 0.0% in West chester.
- Disability percentages are higher in Kenosha at 14.0% compared to 8.0% in West chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kenosha | West chester |
|---|---|---|
| No Schooling | 1.1% (1,036) | 1.1% (725) |
| High School Diploma | 15.4% (15,122) | 12.3% (7,946) |
| Less than High School | 12.9% (12,739) | 6.8% (4,436) |
| Bachelor's Degree and Higher | 18.1% (17,852) | 34.7% (22,503) |
Education Levels Comparison: Kenosha vs West chester
- The percentage of residents with no formal schooling is the same in both Kenosha and West chester at 1.1%.
- A higher percentage of residents in Kenosha hold a high school diploma at 15.4% compared to 12.3% in West chester.
- More residents in Kenosha have less than a high school education at 12.9% compared to 6.8% in West chester.
- In West chester, a larger share of residents have a bachelor's degree or higher at 34.7% 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.