Demographics details for Oceanside, NY vs Saint marys, PA
Population Overview
Compare main population characteristics in Oceanside, NY vs Saint marys, PA.
| Data | Oceanside | Saint marys |
|---|---|---|
| Population | 31,488 | 12,520 |
| Median Age | 45.8 years | 50.5 years |
| Median Income | $136,997 | $61,364 |
| Married Families | 50.0% | 43.0% |
| Poverty Level | 4% | 9% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Oceanside vs Saint marys
- In Oceanside, the population is higher at 31,488, compared to 12,520 in Saint marys.
- The median age in Saint marys is higher at 50.5 years, compared to 45.8 years in Oceanside.
- Oceanside has a higher median income of $136,997 compared to $61,364 in Saint marys.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 43.0% in Saint marys.
- The poverty level is higher in Saint marys at 9%, compared to 4% in Oceanside.
- Saint marys has a higher unemployment rate at 4.5% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Saint marys provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Saint marys |
|---|---|---|
| Black | 3 | 1 |
| White | 71 | 95 |
| Asian | 3 | Data is updating |
| Hispanic | 16 | 1 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oceanside vs Saint marys
- A higher percentage of Black residents are in Oceanside at 3% compared to 1% in Saint marys.
- The percentage of White residents is higher in Saint marys at 95% compared to 71% in Oceanside.
- The Asian population is larger in Oceanside at 3% compared to 0% in Saint marys.
- The Hispanic community is larger in Oceanside at 16% compared to 1% in Saint marys.
- More residents identify as two or more races in Oceanside at 7% compared to 3% in Saint marys.
- The percentage of American Indian residents is the same in both Oceanside and Saint marys at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Saint marys |
|---|---|---|
| Mental Health Not Good | 13.7% | 16.8% |
| Physical Health Not Good | 8.3% | 11.2% |
| Depression | 17.6% | 23.8% |
| Smoking | 11.7% | 19.4% |
| Binge Drinking | 18.5% | 18.7% |
| Obesity | 26.9% | 34.4% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Oceanside vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 16.8% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Saint marys at 23.8% versus 17.6% in Oceanside.
- Saint marys has a higher smoking rate at 19.4% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Saint marys at 18.7% compared to 18.5% in Oceanside.
- Saint marys has higher obesity rates at 34.4% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Saint marys at 17.0% compared to 9.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Saint marys |
|---|---|---|
| No Schooling | 0.8% (241) | 0.5% (62) |
| High School Diploma | 16.5% (5,186) | 36.9% (4,616) |
| Less than High School | 7.5% (2,349) | 9.3% (1,170) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 15.1% (1,895) |
Education Levels Comparison: Oceanside vs Saint marys
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.5% in Saint marys.
- In Saint marys, the rate of residents with high school diplomas is higher at 36.9% compared to 16.5% in Oceanside.
- The percentage of residents with less than a high school education is higher in Saint marys at 9.3%, compared to 7.5% in Oceanside.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 34.5% compared to 15.1% in Saint marys.
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.