Demographics details for Oceanside, NY vs Park ridge, NJ
Population Overview
Compare main population characteristics in Oceanside, NY vs Park ridge, NJ.
| Data | Oceanside | Park ridge |
|---|---|---|
| Population | 31,488 | 9,426 |
| Median Age | 45.8 years | 47.8 years |
| Median Income | $136,997 | $164,241 |
| Married Families | 50.0% | 50.0% |
| Poverty Level | 4% | Data is updating |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Oceanside vs Park ridge
- In Oceanside, the population is higher at 31,488, compared to 9,426 in Park ridge.
- The median age in Park ridge is higher at 47.8 years, compared to 45.8 years in Oceanside.
- Park ridge has a higher median income of $164,241, compared to $136,997 in Oceanside.
- The percentage of married families is the same in both Oceanside and Park ridge at 50.0%.
- Oceanside has a higher poverty level at 4% compared to 0% in Park ridge.
- Park ridge has a higher unemployment rate at 4.5% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Park ridge provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Park ridge |
|---|---|---|
| Black | 3 | 1 |
| White | 71 | 77 |
| Asian | 3 | 4 |
| Hispanic | 16 | 13 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oceanside vs Park ridge
- A higher percentage of Black residents are in Oceanside at 3% compared to 1% in Park ridge.
- The percentage of White residents is higher in Park ridge at 77% compared to 71% in Oceanside.
- In Park ridge, the Asian population stands at 4%, greater than 3% in Oceanside.
- The Hispanic community is larger in Oceanside at 16% compared to 13% in Park ridge.
- More residents identify as two or more races in Oceanside at 7% compared to 5% in Park ridge.
- The percentage of American Indian residents is the same in both Oceanside and Park ridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Park ridge |
|---|---|---|
| Mental Health Not Good | 13.7% | 13.1% |
| Physical Health Not Good | 8.3% | 7.4% |
| Depression | 17.6% | 17.8% |
| Smoking | 11.7% | 10.2% |
| Binge Drinking | 18.5% | 18.7% |
| Obesity | 26.9% | 24.6% |
| Disability Percentage | 9.0% | 5.0% |
Health Statistics Comparison: Oceanside vs Park ridge
- More residents in Oceanside report poor mental health at 13.7% compared to 13.1% in Park ridge.
- Higher depression rates are seen in Park ridge at 17.8% versus 17.6% in Oceanside.
- Smoking is more prevalent in Oceanside at 11.7% compared to 10.2% in Park ridge.
- More residents engage in binge drinking in Park ridge at 18.7% compared to 18.5% in Oceanside.
- Obesity rates are higher in Oceanside at 26.9% compared to 24.6% in Park ridge.
- Disability percentages are higher in Oceanside at 9.0% compared to 5.0% in Park ridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oceanside | Park ridge |
|---|---|---|
| No Schooling | 0.8% (241) | 0.3% (27) |
| High School Diploma | 16.5% (5,186) | 12.4% (1,169) |
| Less than High School | 7.5% (2,349) | 5.8% (549) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 37.8% (3,565) |
Education Levels Comparison: Oceanside vs Park ridge
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.3% in Park ridge.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 12.4% in Park ridge.
- More residents in Oceanside have less than a high school education at 7.5% compared to 5.8% in Park ridge.
- In Park ridge, a larger share of residents have a bachelor's degree or higher at 37.8% compared to 34.5% in Oceanside.
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.