Demographics details for Waterman, IL vs Canton, MA
Population Overview
Compare main population characteristics in Waterman, IL vs Canton, MA.
| Data | Waterman | Canton |
|---|---|---|
| Population | 1,427 | 23,629 |
| Median Age | 36.2 years | 39.0 years |
| Median Income | $87,292 | $120,000 |
| Married Families | 50.0% | 69.6% |
| Poverty Level | 6% | 4% |
| Unemployment Rate | 4.1 | 3.9 |
Population Comparison: Waterman vs Canton
- The population in Canton is higher at 23,629, compared to 1,427 in Waterman.
- The median age in Canton is higher at 39.0 years, compared to 36.2 years in Waterman.
- Canton has a higher median income of $120,000, compared to $87,292 in Waterman.
- In Canton, the percentage of married families is higher at 69.6%, compared to 50.0% in Waterman.
- Waterman has a higher poverty level at 6% compared to 4% in Canton.
- The unemployment rate in Waterman is higher at 4.1%, compared to 3.9% in Canton.
Demographics
Demographics Waterman vs Canton provide insight into the diversity of the communities to compare.
| Demographic | Waterman | Canton |
|---|---|---|
| Black | 2 | 1.2 |
| White | 78 | 85.3 |
| Asian | 1 | 11.5 |
| Hispanic | 10 | 2.0 |
| Two or More Races | 9 | 4.5 |
| American Indian | Data is updating | 0.2 |
Demographics Comparison: Waterman vs Canton
- A higher percentage of Black residents are in Waterman at 2% compared to 1.2% in Canton.
- The percentage of White residents is higher in Canton at 85.3% compared to 78% in Waterman.
- In Canton, the Asian population stands at 11.5%, greater than 1% in Waterman.
- The Hispanic community is larger in Waterman at 10% compared to 2.0% in Canton.
- More residents identify as two or more races in Waterman at 9% compared to 4.5% in Canton.
- In Canton, the percentage of American Indian residents is higher at 0.2%, compared to 0% in Waterman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waterman | Canton |
|---|---|---|
| Mental Health Not Good | 16.0% | Data is updating% |
| Physical Health Not Good | 10.4% | Data is updating% |
| Depression | 21.6% | Data is updating% |
| Smoking | 16.2% | Data is updating% |
| Binge Drinking | 18.7% | Data is updating% |
| Obesity | 36.4% | Data is updating% |
| Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Waterman vs Canton
- More residents in Waterman report poor mental health at 16.0% compared to 0.0% in Canton.
- Depression is more prevalent in Waterman at 21.6% compared to 0.0% in Canton.
- Smoking is more prevalent in Waterman at 16.2% compared to 0.0% in Canton.
- Binge drinking is more common in Waterman at 18.7% compared to 0.0% in Canton.
- Obesity rates are higher in Waterman at 36.4% compared to 0.0% in Canton.
- Disability percentages are higher in Waterman at 10.0% compared to 0.0% in Canton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waterman | Canton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 22.6% (323) | 0.0% (Data is updating) |
| Less than High School | 8.5% (122) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.5% (221) | 0.0% (Data is updating) |
Education Levels Comparison: Waterman vs Canton
- The percentage of residents with no formal schooling is the same in both Waterman and Canton at 0.0%.
- A higher percentage of residents in Waterman hold a high school diploma at 22.6% compared to 0.0% in Canton.
- More residents in Waterman have less than a high school education at 8.5% compared to 0.0% in Canton.
- A higher percentage of residents in Waterman hold a bachelor's degree or higher at 15.5% compared to 0.0% in Canton.
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.