Demographics details for Kenosha, WI vs Manhattan, MT
Population Overview
Compare main population characteristics in Kenosha, WI vs Manhattan, MT.
| Data | Kenosha | Manhattan |
|---|---|---|
| Population | 98,484 | 2,120 |
| Median Age | 36.3 years | 39.6 years |
| Median Income | $64,963 | $57,045 |
| Married Families | 35.0% | 37.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Kenosha vs Manhattan
- In Kenosha, the population is higher at 98,484, compared to 2,120 in Manhattan.
- The median age in Manhattan is higher at 39.6 years, compared to 36.3 years in Kenosha.
- Kenosha has a higher median income of $64,963 compared to $57,045 in Manhattan.
- In Manhattan, the percentage of married families is higher at 37.0%, compared to 35.0% in Kenosha.
- Kenosha has a higher poverty level at 13% compared to 10% in Manhattan.
- Manhattan has a higher unemployment rate at 4.2% compared to 4.1% in Kenosha.
Demographics
Demographics Kenosha vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | Kenosha | Manhattan |
|---|---|---|
| Black | 10 | Data is updating |
| White | 57 | 94 |
| Asian | 2 | Data is updating |
| Hispanic | 18 | 2 |
| Two or More Races | 12 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Kenosha vs Manhattan
- A higher percentage of Black residents are in Kenosha at 10% compared to 0% in Manhattan.
- The percentage of White residents is higher in Manhattan at 94% compared to 57% in Kenosha.
- The Asian population is larger in Kenosha at 2% compared to 0% in Manhattan.
- The Hispanic community is larger in Kenosha at 18% compared to 2% in Manhattan.
- More residents identify as two or more races in Kenosha at 12% compared to 3% in Manhattan.
- The percentage of American Indian residents is the same in both Kenosha and Manhattan at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kenosha | Manhattan |
|---|---|---|
| Mental Health Not Good | 15.7% | 14.4% |
| Physical Health Not Good | 11.1% | 9.0% |
| Depression | 23.4% | 22.7% |
| Smoking | 17.1% | 13.5% |
| Binge Drinking | 22.4% | 24.2% |
| Obesity | 38.8% | 24.2% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Kenosha vs Manhattan
- More residents in Kenosha report poor mental health at 15.7% compared to 14.4% in Manhattan.
- Depression is more prevalent in Kenosha at 23.4% compared to 22.7% in Manhattan.
- Smoking is more prevalent in Kenosha at 17.1% compared to 13.5% in Manhattan.
- More residents engage in binge drinking in Manhattan at 24.2% compared to 22.4% in Kenosha.
- Obesity rates are higher in Kenosha at 38.8% compared to 24.2% in Manhattan.
- Disability percentages are higher in Kenosha at 14.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kenosha | Manhattan |
|---|---|---|
| No Schooling | 1.1% (1,036) | 0.0% (Data is updating) |
| High School Diploma | 15.4% (15,122) | 15.3% (325) |
| Less than High School | 12.9% (12,739) | 0.6% (12) |
| Bachelor's Degree and Higher | 18.1% (17,852) | 18.5% (392) |
Education Levels Comparison: Kenosha vs Manhattan
- A higher percentage of residents in Kenosha have no formal schooling at 1.1% compared to 0.0% in Manhattan.
- A higher percentage of residents in Kenosha hold a high school diploma at 15.4% compared to 15.3% in Manhattan.
- More residents in Kenosha have less than a high school education at 12.9% compared to 0.6% in Manhattan.
- In Manhattan, a larger share of residents have a bachelor's degree or higher at 18.5% 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.