Demographics details for Mukwonago, WI vs Winona, MS
Population Overview
Compare main population characteristics in Mukwonago, WI vs Winona, MS.
| Data | Mukwonago | Winona |
|---|---|---|
| Population | 8,446 | 4,159 |
| Median Age | 39.7 years | 33.7 years |
| Median Income | $91,827 | $26,250 |
| Married Families | 44.0% | 21.0% |
| Poverty Level | 5% | 24% |
| Unemployment Rate | 3.4 | 3.6 |
Population Comparison: Mukwonago vs Winona
- In Mukwonago, the population is higher at 8,446, compared to 4,159 in Winona.
- Residents in Mukwonago have a higher median age of 39.7 years compared to 33.7 years in Winona.
- Mukwonago has a higher median income of $91,827 compared to $26,250 in Winona.
- A higher percentage of married families is found in Mukwonago at 44.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 5% in Mukwonago.
- Winona has a higher unemployment rate at 3.6% compared to 3.4% in Mukwonago.
Demographics
Demographics Mukwonago vs Winona provide insight into the diversity of the communities to compare.
| Demographic | Mukwonago | Winona |
|---|---|---|
| Black | Data is updating | 62 |
| White | 82 | 38 |
| Asian | 4 | Data is updating |
| Hispanic | 7 | Data is updating |
| Two or More Races | 7 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mukwonago vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 0% in Mukwonago.
- Mukwonago has a higher percentage of White residents at 82% compared to 38% in Winona.
- The Asian population is larger in Mukwonago at 4% compared to 0% in Winona.
- The Hispanic community is larger in Mukwonago at 7% compared to 0% in Winona.
- More residents identify as two or more races in Mukwonago at 7% compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Mukwonago and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mukwonago | Winona |
|---|---|---|
| Mental Health Not Good | 13.8% | 19.3% |
| Physical Health Not Good | 8.6% | 15.0% |
| Depression | 21.2% | 22.3% |
| Smoking | 13.8% | 24.8% |
| Binge Drinking | 25.2% | 11.8% |
| Obesity | 35.3% | 46.4% |
| Disability Percentage | 10.0% | 25.0% |
Health Statistics Comparison: Mukwonago vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 13.8% in Mukwonago.
- Higher depression rates are seen in Winona at 22.3% versus 21.2% in Mukwonago.
- Winona has a higher smoking rate at 24.8% compared to 13.8% in Mukwonago.
- Binge drinking is more common in Mukwonago at 25.2% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 35.3% in Mukwonago.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 10.0% in Mukwonago.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mukwonago | Winona |
|---|---|---|
| No Schooling | 0.6% (48) | 2.1% (87) |
| High School Diploma | 17.0% (1,435) | 11.4% (473) |
| Less than High School | 4.7% (394) | 28.5% (1,186) |
| Bachelor's Degree and Higher | 25.3% (2,138) | 9.3% (388) |
Education Levels Comparison: Mukwonago vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 0.6% in Mukwonago.
- A higher percentage of residents in Mukwonago hold a high school diploma at 17.0% compared to 11.4% in Winona.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 4.7% in Mukwonago.
- A higher percentage of residents in Mukwonago hold a bachelor's degree or higher at 25.3% compared to 9.3% in Winona.
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.