Demographics details for Orefield, PA vs Bay shore, NY
Population Overview
Compare main population characteristics in Orefield, PA vs Bay shore, NY.
Data | Orefield | Bay shore |
---|---|---|
Population | 945 | 30,553 |
Median Age | 40.0 years | 36.4 years |
Median Income | $72,000 | $103,272 |
Married Families | 65.0% | 32.0% |
Poverty Level | 4% | 5% |
Unemployment Rate | 3.0 | 4.2 |
Population Comparison: Orefield vs Bay shore
- The population in Bay shore is higher at 30,553, compared to 945 in Orefield.
- Residents in Orefield have a higher median age of 40.0 years compared to 36.4 years in Bay shore.
- Bay shore has a higher median income of $103,272, compared to $72,000 in Orefield.
- A higher percentage of married families is found in Orefield at 65.0% compared to 32.0% in Bay shore.
- The poverty level is higher in Bay shore at 5%, compared to 4% in Orefield.
- Bay shore has a higher unemployment rate at 4.2% compared to 3.0% in Orefield.
Demographics
Demographics Orefield vs Bay shore provide insight into the diversity of the communities to compare.
Demographic | Orefield | Bay shore |
---|---|---|
Black | 2 | 15 |
White | 90 | 31 |
Asian | 2 | 9 |
Hispanic | 3 | 33 |
Two or More Races | 3 | 10 |
American Indian | Data is updating | 2 |
Demographics Comparison: Orefield vs Bay shore
- In Bay shore, the percentage of Black residents is higher at 15% compared to 2% in Orefield.
- Orefield has a higher percentage of White residents at 90% compared to 31% in Bay shore.
- In Bay shore, the Asian population stands at 9%, greater than 2% in Orefield.
- Bay shore has a higher percentage of Hispanic residents at 33%, compared to 3% in Orefield.
- The percentage of residents identifying as two or more races is higher in Bay shore at 10%, compared to 3% in Orefield.
- In Bay shore, the percentage of American Indian residents is higher at 2%, compared to 0% in Orefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Orefield | Bay shore |
---|---|---|
Mental Health Not Good | Data is updating% | 14.6% |
Physical Health Not Good | Data is updating% | 9.7% |
Depression | Data is updating% | 18.6% |
Smoking | Data is updating% | 13.8% |
Binge Drinking | Data is updating% | 15.3% |
Obesity | Data is updating% | 32.0% |
Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Orefield vs Bay shore
- In Bay shore, a higher percentage report poor mental health at 14.6% compared to 0.0% in Orefield.
- Higher depression rates are seen in Bay shore at 18.6% versus 0.0% in Orefield.
- Bay shore has a higher smoking rate at 13.8% compared to 0.0% in Orefield.
- More residents engage in binge drinking in Bay shore at 15.3% compared to 0.0% in Orefield.
- Bay shore has higher obesity rates at 32.0% compared to 0.0% in Orefield.
- There is a higher percentage of disabled individuals in Bay shore at 8.0% compared to 0.0% in Orefield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Orefield | Bay shore |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.7% (506) |
High School Diploma | 0.0% (Data is updating) | 14.9% (4,552) |
Less than High School | 0.0% (Data is updating) | 16.0% (4,885) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 21.1% (6,444) |
Education Levels Comparison: Orefield vs Bay shore
- In Bay shore, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Orefield.
- In Bay shore, the rate of residents with high school diplomas is higher at 14.9% compared to 0.0% in Orefield.
- The percentage of residents with less than a high school education is higher in Bay shore at 16.0%, compared to 0.0% in Orefield.
- In Bay shore, a larger share of residents have a bachelor's degree or higher at 21.1% compared to 0.0% in Orefield.
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.