Demographics details for Hazel, KY vs Sylvan beach, NY
Population Overview
Compare main population characteristics in Hazel, KY vs Sylvan beach, NY.
| Data | Hazel | Sylvan beach |
|---|---|---|
| Population | 398 | 885 |
| Median Age | 38.8 years | 50.1 years |
| Median Income | $36,765 | $48,125 |
| Married Families | 38.0% | 32.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Hazel vs Sylvan beach
- The population in Sylvan beach is higher at 885, compared to 398 in Hazel.
- The median age in Sylvan beach is higher at 50.1 years, compared to 38.8 years in Hazel.
- Sylvan beach has a higher median income of $48,125, compared to $36,765 in Hazel.
- A higher percentage of married families is found in Hazel at 38.0% compared to 32.0% in Sylvan beach.
- Hazel has a higher poverty level at 14% compared to 10% in Sylvan beach.
- The unemployment rate in Hazel is higher at 5.0%, compared to 4.5% in Sylvan beach.
Demographics
Demographics Hazel vs Sylvan beach provide insight into the diversity of the communities to compare.
| Demographic | Hazel | Sylvan beach |
|---|---|---|
| Black | 10 | Data is updating |
| White | 76 | 94 |
| Asian | 5 | 1 |
| Hispanic | 3 | 1 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Hazel vs Sylvan beach
- A higher percentage of Black residents are in Hazel at 10% compared to 0% in Sylvan beach.
- The percentage of White residents is higher in Sylvan beach at 94% compared to 76% in Hazel.
- The Asian population is larger in Hazel at 5% compared to 1% in Sylvan beach.
- The Hispanic community is larger in Hazel at 3% compared to 1% in Sylvan beach.
- More residents identify as two or more races in Hazel at 6% compared to 3% in Sylvan beach.
- In Sylvan beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Hazel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hazel | Sylvan beach |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.8% |
| Physical Health Not Good | 12.5% | 11.8% |
| Depression | 27.6% | 26.8% |
| Smoking | 19.0% | 24.0% |
| Binge Drinking | 15.0% | 19.7% |
| Obesity | 38.9% | 36.2% |
| Disability Percentage | 35.0% | 20.0% |
Health Statistics Comparison: Hazel vs Sylvan beach
- More residents in Hazel report poor mental health at 18.3% compared to 17.8% in Sylvan beach.
- Depression is more prevalent in Hazel at 27.6% compared to 26.8% in Sylvan beach.
- Sylvan beach has a higher smoking rate at 24.0% compared to 19.0% in Hazel.
- More residents engage in binge drinking in Sylvan beach at 19.7% compared to 15.0% in Hazel.
- Obesity rates are higher in Hazel at 38.9% compared to 36.2% in Sylvan beach.
- Disability percentages are higher in Hazel at 35.0% compared to 20.0% in Sylvan beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hazel | Sylvan beach |
|---|---|---|
| No Schooling | 0.8% (3) | 0.0% (Data is updating) |
| High School Diploma | 21.9% (87) | 28.5% (252) |
| Less than High School | 21.1% (84) | 14.5% (128) |
| Bachelor's Degree and Higher | 9.0% (36) | 15.6% (138) |
Education Levels Comparison: Hazel vs Sylvan beach
- A higher percentage of residents in Hazel have no formal schooling at 0.8% compared to 0.0% in Sylvan beach.
- In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 21.9% in Hazel.
- More residents in Hazel have less than a high school education at 21.1% compared to 14.5% in Sylvan beach.
- In Sylvan beach, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 9.0% in Hazel.
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.