Demographics details for Adamsburg, PA vs Sylvan beach, NY
Population Overview
Compare main population characteristics in Adamsburg, PA vs Sylvan beach, NY.
Data | Adamsburg | Sylvan beach |
---|---|---|
Population | 143 | 885 |
Median Age | 27.6 years | 50.1 years |
Median Income | $71,429 | $48,125 |
Married Families | 22.0% | 32.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Adamsburg vs Sylvan beach
- The population in Sylvan beach is higher at 885, compared to 143 in Adamsburg.
- The median age in Sylvan beach is higher at 50.1 years, compared to 27.6 years in Adamsburg.
- Adamsburg has a higher median income of $71,429 compared to $48,125 in Sylvan beach.
- In Sylvan beach, the percentage of married families is higher at 32.0%, compared to 22.0% in Adamsburg.
- The poverty level is higher in Sylvan beach at 10%, compared to 9% in Adamsburg.
- Sylvan beach has a higher unemployment rate at 4.5% compared to 3.1% in Adamsburg.
Demographics
Demographics Adamsburg vs Sylvan beach provide insight into the diversity of the communities to compare.
Demographic | Adamsburg | Sylvan beach |
---|---|---|
Black | Data is updating | Data is updating |
White | 92 | 94 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 1 |
Two or More Races | 7 | 3 |
American Indian | 1 | 1 |
Demographics Comparison: Adamsburg vs Sylvan beach
- The percentage of Black residents is the same in both Adamsburg and Sylvan beach at 0%.
- The percentage of White residents is higher in Sylvan beach at 94% compared to 92% in Adamsburg.
- In Sylvan beach, the Asian population stands at 1%, greater than 0% in Adamsburg.
- Sylvan beach has a higher percentage of Hispanic residents at 1%, compared to 0% in Adamsburg.
- More residents identify as two or more races in Adamsburg at 7% compared to 3% in Sylvan beach.
- The percentage of American Indian residents is the same in both Adamsburg and Sylvan beach at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Adamsburg | Sylvan beach |
---|---|---|
Mental Health Not Good | 17.9% | 17.8% |
Physical Health Not Good | 12.5% | 11.8% |
Depression | 22.6% | 26.8% |
Smoking | 19.8% | 24.0% |
Binge Drinking | 19.3% | 19.7% |
Obesity | 34.1% | 36.2% |
Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Adamsburg vs Sylvan beach
- More residents in Adamsburg report poor mental health at 17.9% compared to 17.8% in Sylvan beach.
- Higher depression rates are seen in Sylvan beach at 26.8% versus 22.6% in Adamsburg.
- Sylvan beach has a higher smoking rate at 24.0% compared to 19.8% in Adamsburg.
- More residents engage in binge drinking in Sylvan beach at 19.7% compared to 19.3% in Adamsburg.
- Sylvan beach has higher obesity rates at 36.2% compared to 34.1% in Adamsburg.
- There is a higher percentage of disabled individuals in Sylvan beach at 20.0% compared to 15.0% in Adamsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Adamsburg | Sylvan beach |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 19.6% (28) | 28.5% (252) |
Less than High School | 2.8% (4) | 14.5% (128) |
Bachelor's Degree and Higher | 7.0% (10) | 15.6% (138) |
Education Levels Comparison: Adamsburg vs Sylvan beach
- The percentage of residents with no formal schooling is the same in both Adamsburg and Sylvan beach at 0.0%.
- In Sylvan beach, the rate of residents with high school diplomas is higher at 28.5% compared to 19.6% in Adamsburg.
- The percentage of residents with less than a high school education is higher in Sylvan beach at 14.5%, compared to 2.8% in Adamsburg.
- In Sylvan beach, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 7.0% in Adamsburg.
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.