Demographics details for Max meadows, VA vs Kenosha, WI
Population Overview
Compare main population characteristics in Max meadows, VA vs Kenosha, WI.
| Data | Max meadows | Kenosha |
|---|---|---|
| Population | 580 | 98,484 |
| Median Age | 47.2 years | 36.3 years |
| Median Income | $73,683 | $64,963 |
| Married Families | 43.0% | 35.0% |
| Poverty Level | 5% | 13% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Max meadows vs Kenosha
- The population in Kenosha is higher at 98,484, compared to 580 in Max meadows.
- Residents in Max meadows have a higher median age of 47.2 years compared to 36.3 years in Kenosha.
- Max meadows has a higher median income of $73,683 compared to $64,963 in Kenosha.
- A higher percentage of married families is found in Max meadows at 43.0% compared to 35.0% in Kenosha.
- The poverty level is higher in Kenosha at 13%, compared to 5% in Max meadows.
- Kenosha has a higher unemployment rate at 4.1% compared to 3.5% in Max meadows.
Demographics
Demographics Max meadows vs Kenosha provide insight into the diversity of the communities to compare.
| Demographic | Max meadows | Kenosha |
|---|---|---|
| Black | Data is updating | 10 |
| White | 98 | 57 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 18 |
| Two or More Races | 2 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Max meadows vs Kenosha
- In Kenosha, the percentage of Black residents is higher at 10% compared to 0% in Max meadows.
- Max meadows has a higher percentage of White residents at 98% compared to 57% in Kenosha.
- In Kenosha, the Asian population stands at 2%, greater than 0% in Max meadows.
- Kenosha has a higher percentage of Hispanic residents at 18%, compared to 0% in Max meadows.
- The percentage of residents identifying as two or more races is higher in Kenosha at 12%, compared to 2% in Max meadows.
- In Kenosha, the percentage of American Indian residents is higher at 1%, compared to 0% in Max meadows.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Max meadows | Kenosha |
|---|---|---|
| Mental Health Not Good | 18.9% | 15.7% |
| Physical Health Not Good | 12.6% | 11.1% |
| Depression | 26.2% | 23.4% |
| Smoking | 20.4% | 17.1% |
| Binge Drinking | 17.9% | 22.4% |
| Obesity | 40.3% | 38.8% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Max meadows vs Kenosha
- More residents in Max meadows report poor mental health at 18.9% compared to 15.7% in Kenosha.
- Depression is more prevalent in Max meadows at 26.2% compared to 23.4% in Kenosha.
- Smoking is more prevalent in Max meadows at 20.4% compared to 17.1% in Kenosha.
- More residents engage in binge drinking in Kenosha at 22.4% compared to 17.9% in Max meadows.
- Obesity rates are higher in Max meadows at 40.3% compared to 38.8% in Kenosha.
- There is a higher percentage of disabled individuals in Kenosha at 14.0% compared to 9.0% in Max meadows.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Max meadows | Kenosha |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (1,036) |
| High School Diploma | 37.1% (215) | 15.4% (15,122) |
| Less than High School | 0.0% (Data is updating) | 12.9% (12,739) |
| Bachelor's Degree and Higher | 9.8% (57) | 18.1% (17,852) |
Education Levels Comparison: Max meadows vs Kenosha
- In Kenosha, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Max meadows.
- A higher percentage of residents in Max meadows hold a high school diploma at 37.1% compared to 15.4% in Kenosha.
- The percentage of residents with less than a high school education is higher in Kenosha at 12.9%, compared to 0.0% in Max meadows.
- In Kenosha, a larger share of residents have a bachelor's degree or higher at 18.1% compared to 9.8% in Max meadows.
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.