Demographics details for Wauconda, IL vs Milford, MA
Population Overview
Compare main population characteristics in Wauconda, IL vs Milford, MA.
| Data | Wauconda | Milford |
|---|---|---|
| Population | 13,932 | 27,999 |
| Median Age | 36.8 years | 43.5 years |
| Median Income | $108,229 | $98,896 |
| Married Families | 43.0% | 60.0% |
| Poverty Level | 8% | 5% |
| Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Wauconda vs Milford
- The population in Milford is higher at 27,999, compared to 13,932 in Wauconda.
- The median age in Milford is higher at 43.5 years, compared to 36.8 years in Wauconda.
- Wauconda has a higher median income of $108,229 compared to $98,896 in Milford.
- In Milford, the percentage of married families is higher at 60.0%, compared to 43.0% in Wauconda.
- Wauconda has a higher poverty level at 8% compared to 5% in Milford.
- Milford has a higher unemployment rate at 3.8% compared to 3.5% in Wauconda.
Demographics
Demographics Wauconda vs Milford provide insight into the diversity of the communities to compare.
| Demographic | Wauconda | Milford |
|---|---|---|
| Black | 1 | 5 |
| White | 66 | 87 |
| Asian | 6 | 5 |
| Hispanic | 18 | 3 |
| Two or More Races | 9 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wauconda vs Milford
- In Milford, the percentage of Black residents is higher at 5% compared to 1% in Wauconda.
- The percentage of White residents is higher in Milford at 87% compared to 66% in Wauconda.
- The Asian population is larger in Wauconda at 6% compared to 5% in Milford.
- The Hispanic community is larger in Wauconda at 18% compared to 3% in Milford.
- More residents identify as two or more races in Wauconda at 9% compared to 1% in Milford.
- The percentage of American Indian residents is the same in both Wauconda and Milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wauconda | Milford |
|---|---|---|
| Mental Health Not Good | 14.2% | Data is updating% |
| Physical Health Not Good | 9.2% | Data is updating% |
| Depression | 18.8% | Data is updating% |
| Smoking | 12.7% | Data is updating% |
| Binge Drinking | 18.8% | Data is updating% |
| Obesity | 31.0% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Wauconda vs Milford
- More residents in Wauconda report poor mental health at 14.2% compared to 0.0% in Milford.
- Depression is more prevalent in Wauconda at 18.8% compared to 0.0% in Milford.
- Smoking is more prevalent in Wauconda at 12.7% compared to 0.0% in Milford.
- Binge drinking is more common in Wauconda at 18.8% compared to 0.0% in Milford.
- Obesity rates are higher in Wauconda at 31.0% compared to 0.0% in Milford.
- Disability percentages are higher in Wauconda at 8.0% compared to 0.0% in Milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wauconda | Milford |
|---|---|---|
| No Schooling | 1.4% (202) | 0.0% (Data is updating) |
| High School Diploma | 10.5% (1,456) | 0.0% (Data is updating) |
| Less than High School | 10.2% (1,425) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 26.0% (3,623) | 0.0% (Data is updating) |
Education Levels Comparison: Wauconda vs Milford
- A higher percentage of residents in Wauconda have no formal schooling at 1.4% compared to 0.0% in Milford.
- A higher percentage of residents in Wauconda hold a high school diploma at 10.5% compared to 0.0% in Milford.
- More residents in Wauconda have less than a high school education at 10.2% compared to 0.0% in Milford.
- A higher percentage of residents in Wauconda hold a bachelor's degree or higher at 26.0% compared to 0.0% in Milford.
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.