Demographics details for Spring valley, NY vs Kenosha, WI
Population Overview
Compare main population characteristics in Spring valley, NY vs Kenosha, WI.
| Data | Spring valley | Kenosha |
|---|---|---|
| Population | 32,884 | 98,484 |
| Median Age | 27.5 years | 36.3 years |
| Median Income | $50,749 | $64,963 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Spring valley vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 32,884 in Spring valley.
- The median age in Kenosha is higher at 36.3 years, compared to 27.5 years in Spring valley.
- Kenosha has a higher median income of $64,963, compared to $50,749 in Spring valley.
- In Kenosha, the percentage of married families is higher at 35.0%, compared to 32.0% in Spring valley.
- The poverty level is higher in Kenosha at 13%, compared to 10% in Spring valley.
- Kenosha has a higher unemployment rate at 4.1% compared to 3.2% in Spring valley.
Demographics
Demographics Spring valley vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Spring valley | Kenosha |
|---|---|---|
| Black | 32 | 10 |
| White | 31 | 57 |
| Asian | 3 | 2 |
| Hispanic | 29 | 18 |
| Two or More Races | 5 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Spring valley vs Kenosha
- A higher percentage of Black residents are in Spring valley at 32% compared to 10% in Kenosha.
- The percentage of White residents is higher in Kenosha at 57% compared to 31% in Spring valley.
- The Asian population is larger in Spring valley at 3% compared to 2% in Kenosha.
- The Hispanic community is larger in Spring valley at 29% compared to 18% in Kenosha.
- The percentage of residents identifying as two or more races is higher in Kenosha at 12%, compared to 5% in Spring valley.
- In Kenosha, the percentage of American Indian residents is higher at 1%, compared to 0% in Spring valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spring valley | Kenosha |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.7% |
| Physical Health Not Good | 13.9% | 11.1% |
| Depression | 18.7% | 23.4% |
| Smoking | 22.3% | 17.1% |
| Binge Drinking | 12.6% | 22.4% |
| Obesity | 34.3% | 38.8% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Spring valley vs Kenosha
- More residents in Spring valley report poor mental health at 16.7% compared to 15.7% in Kenosha.
- Higher depression rates are seen in Kenosha at 23.4% versus 18.7% in Spring valley.
- Smoking is more prevalent in Spring valley at 22.3% compared to 17.1% in Kenosha.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 12.6% in Spring valley.
- Kenosha has higher obesity rates at 38.8% compared to 34.3% in Spring valley.
- There is a higher percentage of disabled individuals in Kenosha at 14.0% compared to 8.0% in Spring valley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spring valley | Kenosha |
|---|---|---|
| No Schooling | 3.7% (1,224) | 1.1% (1,036) |
| High School Diploma | 13.1% (4,315) | 15.4% (15,122) |
| Less than High School | 20.5% (6,742) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 10.0% (3,273) | 18.1% (17,852) |
Education Levels Comparison: Spring valley vs Kenosha
- A higher percentage of residents in Spring valley have no formal schooling at 3.7% compared to 1.1% in Kenosha.
- In Kenosha, the rate of residents with high school diplomas is higher at 15.4% compared to 13.1% in Spring valley.
- More residents in Spring valley have less than a high school education at 20.5% compared to 12.9% in Kenosha.
- In Kenosha, a larger share of residents have a bachelor's degree or higher at 18.1% compared to 10.0% in Spring 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.