Demographics details for Stephens city, VA vs Kenosha, WI
Population Overview
Compare main population characteristics in Stephens city, VA vs Kenosha, WI.
| Data | Stephens city | Kenosha |
|---|---|---|
| Population | 2,096 | 98,484 |
| Median Age | 34.1 years | 36.3 years |
| Median Income | $90,588 | $64,963 |
| Married Families | 38.0% | 35.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Stephens city vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 2,096 in Stephens city.
- The median age in Kenosha is higher at 36.3 years, compared to 34.1 years in Stephens city.
- Stephens city has a higher median income of $90,588 compared to $64,963 in Kenosha.
- A higher percentage of married families is found in Stephens city at 38.0% compared to 35.0% in Kenosha.
- The poverty level is higher in Kenosha at 13%, compared to 5% in Stephens city.
- Kenosha has a higher unemployment rate at 4.1% compared to 3.5% in Stephens city.
Demographics
Demographics Stephens city vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Stephens city | Kenosha |
|---|---|---|
| Black | 8 | 10 |
| White | 50 | 57 |
| Asian | 1 | 2 |
| Hispanic | 25 | 18 |
| Two or More Races | 16 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Stephens city vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 8% in Stephens city.
- The percentage of White residents is higher in Kenosha at 57% compared to 50% in Stephens city.
- In Kenosha, the Asian population stands at 2%, greater than 1% in Stephens city.
- The Hispanic community is larger in Stephens city at 25% compared to 18% in Kenosha.
- More residents identify as two or more races in Stephens city at 16% compared to 12% in Kenosha.
- In Kenosha, the percentage of American Indian residents is higher at 1%, compared to 0% in Stephens city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stephens city | Kenosha |
|---|---|---|
| Mental Health Not Good | 15.8% | 15.7% |
| Physical Health Not Good | 9.7% | 11.1% |
| Depression | 23.1% | 23.4% |
| Smoking | 14.7% | 17.1% |
| Binge Drinking | 18.6% | 22.4% |
| Obesity | 32.8% | 38.8% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Stephens city vs Kenosha
- More residents in Stephens city report poor mental health at 15.8% compared to 15.7% in Kenosha.
- Higher depression rates are seen in Kenosha at 23.4% versus 23.1% in Stephens city.
- Kenosha has a higher smoking rate at 17.1% compared to 14.7% in Stephens city.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 18.6% in Stephens city.
- Kenosha has higher obesity rates at 38.8% compared to 32.8% in Stephens city.
- There is a higher percentage of disabled individuals in Kenosha at 14.0% compared to 12.0% in Stephens city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stephens city | Kenosha |
|---|---|---|
| No Schooling | 0.1% (3) | 1.1% (1,036) |
| High School Diploma | 13.2% (276) | 15.4% (15,122) |
| Less than High School | 13.5% (282) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 19.3% (405) | 18.1% (17,852) |
Education Levels Comparison: Stephens city vs Kenosha
- In Kenosha, a larger percentage of residents lack formal schooling at 1.1% compared to 0.1% in Stephens city.
- In Kenosha, the rate of residents with high school diplomas is higher at 15.4% compared to 13.2% in Stephens city.
- More residents in Stephens city have less than a high school education at 13.5% compared to 12.9% in Kenosha.
- A higher percentage of residents in Stephens city hold a bachelor's degree or higher at 19.3% 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.