Demographics details for Williams bay, WI vs Seymour, IN
Population Overview
Compare main population characteristics in Williams bay, WI vs Seymour, IN.
| Data | Williams bay | Seymour |
|---|---|---|
| Population | 2,969 | 21,618 |
| Median Age | 48.2 years | 34.5 years |
| Median Income | $71,250 | $57,347 |
| Married Families | 43.0% | 32.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Williams bay vs Seymour
- The population in Seymour is higher at 21,618, compared to 2,969 in Williams bay.
- Residents in Williams bay have a higher median age of 48.2 years compared to 34.5 years in Seymour.
- Williams bay has a higher median income of $71,250 compared to $57,347 in Seymour.
- A higher percentage of married families is found in Williams bay at 43.0% compared to 32.0% in Seymour.
- The poverty level is higher in Seymour at 12%, compared to 0% in Williams bay.
- Seymour has a higher unemployment rate at 3.5% compared to 3.0% in Williams bay.
Demographics
Demographics Williams bay vs Seymour provide insight into the diversity of the communities to compare.
| Demographic | Williams bay | Seymour |
|---|---|---|
| Black | Data is updating | 2 |
| White | 91 | 68 |
| Asian | Data is updating | 3 |
| Hispanic | 8 | 15 |
| Two or More Races | 1 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Williams bay vs Seymour
- In Seymour, the percentage of Black residents is higher at 2% compared to 0% in Williams bay.
- Williams bay has a higher percentage of White residents at 91% compared to 68% in Seymour.
- In Seymour, the Asian population stands at 3%, greater than 0% in Williams bay.
- Seymour has a higher percentage of Hispanic residents at 15%, compared to 8% in Williams bay.
- The percentage of residents identifying as two or more races is higher in Seymour at 11%, compared to 1% in Williams bay.
- In Seymour, the percentage of American Indian residents is higher at 1%, compared to 0% in Williams bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Williams bay | Seymour |
|---|---|---|
| Mental Health Not Good | 14.3% | 18.0% |
| Physical Health Not Good | 9.1% | 12.9% |
| Depression | 22.8% | 26.9% |
| Smoking | 13.3% | 21.5% |
| Binge Drinking | 24.1% | 16.3% |
| Obesity | 36.4% | 42.2% |
| Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Williams bay vs Seymour
- In Seymour, a higher percentage report poor mental health at 18.0% compared to 14.3% in Williams bay.
- Higher depression rates are seen in Seymour at 26.9% versus 22.8% in Williams bay.
- Seymour has a higher smoking rate at 21.5% compared to 13.3% in Williams bay.
- Binge drinking is more common in Williams bay at 24.1% compared to 16.3% in Seymour.
- Seymour has higher obesity rates at 42.2% compared to 36.4% in Williams bay.
- Disability percentages are higher in Williams bay at 19.0% compared to 15.0% in Seymour.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Williams bay | Seymour |
|---|---|---|
| No Schooling | 0.3% (9) | 1.6% (348) |
| High School Diploma | 11.6% (345) | 20.2% (4,374) |
| Less than High School | 1.4% (43) | 17.4% (3,765) |
| Bachelor's Degree and Higher | 34.6% (1,028) | 12.2% (2,648) |
Education Levels Comparison: Williams bay vs Seymour
- In Seymour, a larger percentage of residents lack formal schooling at 1.6% compared to 0.3% in Williams bay.
- In Seymour, the rate of residents with high school diplomas is higher at 20.2% compared to 11.6% in Williams bay.
- The percentage of residents with less than a high school education is higher in Seymour at 17.4%, compared to 1.4% in Williams bay.
- A higher percentage of residents in Williams bay hold a bachelor's degree or higher at 34.6% compared to 12.2% in Seymour.
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.