Demographics details for Bay shore, NY vs Waterman, IL
Population Overview
Compare main population characteristics in Bay shore, NY vs Waterman, IL.
| Data | Bay shore | Waterman |
|---|---|---|
| Population | 30,553 | 1,427 |
| Median Age | 36.4 years | 36.2 years |
| Median Income | $103,272 | $87,292 |
| Married Families | 32.0% | 50.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Bay shore vs Waterman
- In Bay shore, the population is higher at 30,553, compared to 1,427 in Waterman.
- Residents in Bay shore have a higher median age of 36.4 years compared to 36.2 years in Waterman.
- Bay shore has a higher median income of $103,272 compared to $87,292 in Waterman.
- In Waterman, the percentage of married families is higher at 50.0%, compared to 32.0% in Bay shore.
- The poverty level is higher in Waterman at 6%, compared to 5% in Bay shore.
- The unemployment rate in Bay shore is higher at 4.2%, compared to 4.1% in Waterman.
Demographics
Demographics Bay shore vs Waterman provide insight into the diversity of the communities to compare.
| Demographic | Bay shore | Waterman |
|---|---|---|
| Black | 15 | 2 |
| White | 31 | 78 |
| Asian | 9 | 1 |
| Hispanic | 33 | 10 |
| Two or More Races | 10 | 9 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Bay shore vs Waterman
- A higher percentage of Black residents are in Bay shore at 15% compared to 2% in Waterman.
- The percentage of White residents is higher in Waterman at 78% compared to 31% in Bay shore.
- The Asian population is larger in Bay shore at 9% compared to 1% in Waterman.
- The Hispanic community is larger in Bay shore at 33% compared to 10% in Waterman.
- More residents identify as two or more races in Bay shore at 10% compared to 9% in Waterman.
- A greater percentage of American Indian residents live in Bay shore at 2% compared to 0% in Waterman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bay shore | Waterman |
|---|---|---|
| Mental Health Not Good | 14.6% | 16.0% |
| Physical Health Not Good | 9.7% | 10.4% |
| Depression | 18.6% | 21.6% |
| Smoking | 13.8% | 16.2% |
| Binge Drinking | 15.3% | 18.7% |
| Obesity | 32.0% | 36.4% |
| Disability Percentage | 8.0% | 10.0% |
Health Statistics Comparison: Bay shore vs Waterman
- In Waterman, a higher percentage report poor mental health at 16.0% compared to 14.6% in Bay shore.
- Higher depression rates are seen in Waterman at 21.6% versus 18.6% in Bay shore.
- Waterman has a higher smoking rate at 16.2% compared to 13.8% in Bay shore.
- More residents engage in binge drinking in Waterman at 18.7% compared to 15.3% in Bay shore.
- Waterman has higher obesity rates at 36.4% compared to 32.0% in Bay shore.
- There is a higher percentage of disabled individuals in Waterman at 10.0% compared to 8.0% in Bay shore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bay shore | Waterman |
|---|---|---|
| No Schooling | 1.7% (506) | 0.0% (Data is updating) |
| High School Diploma | 14.9% (4,552) | 22.6% (323) |
| Less than High School | 16.0% (4,885) | 8.5% (122) |
| Bachelor's Degree and Higher | 21.1% (6,444) | 15.5% (221) |
Education Levels Comparison: Bay shore vs Waterman
- A higher percentage of residents in Bay shore have no formal schooling at 1.7% compared to 0.0% in Waterman.
- In Waterman, the rate of residents with high school diplomas is higher at 22.6% compared to 14.9% in Bay shore.
- More residents in Bay shore have less than a high school education at 16.0% compared to 8.5% in Waterman.
- A higher percentage of residents in Bay shore hold a bachelor's degree or higher at 21.1% compared to 15.5% in Waterman.
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.