Demographics details for Kenosha, WI vs Valley, AL
Population Overview
Compare main population characteristics in Kenosha, WI vs Valley, AL.
| Data | Kenosha | Valley |
|---|---|---|
| Population | 98,484 | 10,323 |
| Median Age | 36.3 years | 32.5 years |
| Median Income | $64,963 | $54,237 |
| Married Families | 35.0% | 30.0% |
| Poverty Level | 13% | 14% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Kenosha vs Valley
- In Kenosha, the population is higher at 98,484, compared to 10,323 in Valley.
- Residents in Kenosha have a higher median age of 36.3 years compared to 32.5 years in Valley.
- Kenosha has a higher median income of $64,963 compared to $54,237 in Valley.
- A higher percentage of married families is found in Kenosha at 35.0% compared to 30.0% in Valley.
- The poverty level is higher in Valley at 14%, compared to 13% in Kenosha.
- The unemployment rate in Kenosha is higher at 4.1%, compared to 3.2% in Valley.
Demographics
Demographics Kenosha vs Valley provide insight into the diversity of the communities to compare.
| Demographic | Kenosha | Valley |
|---|---|---|
| Black | 10 | 39 |
| White | 57 | 56 |
| Asian | 2 | Data is updating |
| Hispanic | 18 | 3 |
| Two or More Races | 12 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kenosha vs Valley
- In Valley, the percentage of Black residents is higher at 39% compared to 10% in Kenosha.
- Kenosha has a higher percentage of White residents at 57% compared to 56% in Valley.
- The Asian population is larger in Kenosha at 2% compared to 0% in Valley.
- The Hispanic community is larger in Kenosha at 18% compared to 3% in Valley.
- More residents identify as two or more races in Kenosha at 12% compared to 2% in Valley.
- A greater percentage of American Indian residents live in Kenosha at 1% compared to 0% in Valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kenosha | Valley |
|---|---|---|
| Mental Health Not Good | 15.7% | 19.5% |
| Physical Health Not Good | 11.1% | 13.6% |
| Depression | 23.4% | 23.5% |
| Smoking | 17.1% | 20.1% |
| Binge Drinking | 22.4% | 14.3% |
| Obesity | 38.8% | 42.9% |
| Disability Percentage | 14.0% | 16.0% |
Health Statistics Comparison: Kenosha vs Valley
- In Valley, a higher percentage report poor mental health at 19.5% compared to 15.7% in Kenosha.
- Higher depression rates are seen in Valley at 23.5% versus 23.4% in Kenosha.
- Valley has a higher smoking rate at 20.1% compared to 17.1% in Kenosha.
- Binge drinking is more common in Kenosha at 22.4% compared to 14.3% in Valley.
- Valley has higher obesity rates at 42.9% compared to 38.8% in Kenosha.
- There is a higher percentage of disabled individuals in Valley at 16.0% 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 | Valley |
|---|---|---|
| No Schooling | 1.1% (1,036) | 2.4% (252) |
| High School Diploma | 15.4% (15,122) | 22.3% (2,302) |
| Less than High School | 12.9% (12,739) | 14.2% (1,467) |
| Bachelor's Degree and Higher | 18.1% (17,852) | 9.3% (956) |
Education Levels Comparison: Kenosha vs Valley
- In Valley, a larger percentage of residents lack formal schooling at 2.4% compared to 1.1% in Kenosha.
- In Valley, the rate of residents with high school diplomas is higher at 22.3% compared to 15.4% in Kenosha.
- The percentage of residents with less than a high school education is higher in Valley at 14.2%, compared to 12.9% in Kenosha.
- A higher percentage of residents in Kenosha hold a bachelor's degree or higher at 18.1% compared to 9.3% in Valley.
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.