Demographics details for Kenosha, WI vs Westminster, CA
Population Overview
Compare main population characteristics in Kenosha, WI vs Westminster, CA.
| Data | Kenosha | Westminster |
|---|---|---|
| Population | 98,484 | 89,397 |
| Median Age | 36.3 years | 41.6 years |
| Median Income | $64,963 | $80,271 |
| Married Families | 35.0% | 43.0% |
| Poverty Level | 13% | 11% |
| Unemployment Rate | 4.1 | 4.4 |
Population Comparison: Kenosha vs Westminster
- In Kenosha, the population is higher at 98,484, compared to 89,397 in Westminster.
- The median age in Westminster is higher at 41.6 years, compared to 36.3 years in Kenosha.
- Westminster has a higher median income of $80,271, compared to $64,963 in Kenosha.
- In Westminster, the percentage of married families is higher at 43.0%, compared to 35.0% in Kenosha.
- Kenosha has a higher poverty level at 13% compared to 11% in Westminster.
- Westminster has a higher unemployment rate at 4.4% compared to 4.1% in Kenosha.
Demographics
Demographics Kenosha vs Westminster provide insight into the diversity of the communities to compare.
| Demographic | Kenosha | Westminster |
|---|---|---|
| Black | 10 | 1 |
| White | 57 | 16 |
| Asian | 2 | 51 |
| Hispanic | 18 | 24 |
| Two or More Races | 12 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kenosha vs Westminster
- A higher percentage of Black residents are in Kenosha at 10% compared to 1% in Westminster.
- Kenosha has a higher percentage of White residents at 57% compared to 16% in Westminster.
- In Westminster, the Asian population stands at 51%, greater than 2% in Kenosha.
- Westminster has a higher percentage of Hispanic residents at 24%, compared to 18% in Kenosha.
- More residents identify as two or more races in Kenosha at 12% compared to 8% in Westminster.
- A greater percentage of American Indian residents live in Kenosha at 1% compared to 0% in Westminster.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kenosha | Westminster |
|---|---|---|
| Mental Health Not Good | 15.7% | 14.9% |
| Physical Health Not Good | 11.1% | 10.8% |
| Depression | 23.4% | 15.3% |
| Smoking | 17.1% | 12.5% |
| Binge Drinking | 22.4% | 13.0% |
| Obesity | 38.8% | 23.4% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Kenosha vs Westminster
- More residents in Kenosha report poor mental health at 15.7% compared to 14.9% in Westminster.
- Depression is more prevalent in Kenosha at 23.4% compared to 15.3% in Westminster.
- Smoking is more prevalent in Kenosha at 17.1% compared to 12.5% in Westminster.
- Binge drinking is more common in Kenosha at 22.4% compared to 13.0% in Westminster.
- Obesity rates are higher in Kenosha at 38.8% compared to 23.4% in Westminster.
- Disability percentages are higher in Kenosha at 14.0% compared to 12.0% in Westminster.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kenosha | Westminster |
|---|---|---|
| No Schooling | 1.1% (1,036) | 4.5% (4,006) |
| High School Diploma | 15.4% (15,122) | 16.0% (14,303) |
| Less than High School | 12.9% (12,739) | 21.5% (19,217) |
| Bachelor's Degree and Higher | 18.1% (17,852) | 18.5% (16,558) |
Education Levels Comparison: Kenosha vs Westminster
- In Westminster, a larger percentage of residents lack formal schooling at 4.5% compared to 1.1% in Kenosha.
- In Westminster, the rate of residents with high school diplomas is higher at 16.0% compared to 15.4% in Kenosha.
- The percentage of residents with less than a high school education is higher in Westminster at 21.5%, compared to 12.9% in Kenosha.
- In Westminster, a larger share of residents have a bachelor's degree or higher at 18.5% 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.