Demographics details for Kenosha, WI vs Clifton, KS
Population Overview
Compare main population characteristics in Kenosha, WI vs Clifton, KS.
| Data | Kenosha | Clifton |
|---|---|---|
| Population | 98,484 | 447 |
| Median Age | 36.3 years | 43.5 years |
| Median Income | $64,963 | $51,563 |
| Married Families | 35.0% | 41.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Kenosha vs Clifton
- In Kenosha, the population is higher at 98,484, compared to 447 in Clifton.
- The median age in Clifton is higher at 43.5 years, compared to 36.3 years in Kenosha.
- Kenosha has a higher median income of $64,963 compared to $51,563 in Clifton.
- In Clifton, the percentage of married families is higher at 41.0%, compared to 35.0% in Kenosha.
- Kenosha has a higher poverty level at 13% compared to 0% in Clifton.
- The unemployment rate in Kenosha is higher at 4.1%, compared to 3.5% in Clifton.
Demographics
Demographics Kenosha vs Clifton provide insight into the diversity of the communities to compare.
| Demographic | Kenosha | Clifton |
|---|---|---|
| Black | 10 | Data is updating |
| White | 57 | 93 |
| Asian | 2 | 4 |
| Hispanic | 18 | 2 |
| Two or More Races | 12 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kenosha vs Clifton
- A higher percentage of Black residents are in Kenosha at 10% compared to 0% in Clifton.
- The percentage of White residents is higher in Clifton at 93% compared to 57% in Kenosha.
- In Clifton, the Asian population stands at 4%, greater than 2% in Kenosha.
- The Hispanic community is larger in Kenosha at 18% compared to 2% in Clifton.
- More residents identify as two or more races in Kenosha at 12% compared to 1% in Clifton.
- A greater percentage of American Indian residents live in Kenosha at 1% compared to 0% in Clifton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kenosha | Clifton |
|---|---|---|
| Mental Health Not Good | 15.7% | 15.7% |
| Physical Health Not Good | 11.1% | 10.1% |
| Depression | 23.4% | 20.7% |
| Smoking | 17.1% | 18.8% |
| Binge Drinking | 22.4% | 20.8% |
| Obesity | 38.8% | 40.0% |
| Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Kenosha vs Clifton
- Poor mental health levels are equal in both Kenosha and Clifton at 15.7%.
- Depression is more prevalent in Kenosha at 23.4% compared to 20.7% in Clifton.
- Clifton has a higher smoking rate at 18.8% compared to 17.1% in Kenosha.
- Binge drinking is more common in Kenosha at 22.4% compared to 20.8% in Clifton.
- Clifton has higher obesity rates at 40.0% compared to 38.8% in Kenosha.
- There is a higher percentage of disabled individuals in Clifton at 19.0% compared to 14.0% in Kenosha.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kenosha | Clifton |
|---|---|---|
| No Schooling | 1.1% (1,036) | 0.4% (2) |
| High School Diploma | 15.4% (15,122) | 29.1% (130) |
| Less than High School | 12.9% (12,739) | 7.2% (32) |
| Bachelor's Degree and Higher | 18.1% (17,852) | 14.5% (65) |
Education Levels Comparison: Kenosha vs Clifton
- A higher percentage of residents in Kenosha have no formal schooling at 1.1% compared to 0.4% in Clifton.
- In Clifton, the rate of residents with high school diplomas is higher at 29.1% compared to 15.4% in Kenosha.
- More residents in Kenosha have less than a high school education at 12.9% compared to 7.2% in Clifton.
- A higher percentage of residents in Kenosha hold a bachelor's degree or higher at 18.1% compared to 14.5% in Clifton.
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.