Demographics details for Oceanside, NY vs Benicia, CA
Population Overview
Compare main population characteristics in Oceanside, NY vs Benicia, CA.
| Data | Oceanside | Benicia |
|---|---|---|
| Population | 31,488 | 26,567 |
| Median Age | 45.8 years | 45.3 years |
| Median Income | $136,997 | $124,375 |
| Married Families | 50.0% | 45.0% |
| Poverty Level | 4% | 4% |
| Unemployment Rate | 3.2 | 4.3 |
Population Comparison: Oceanside vs Benicia
- In Oceanside, the population is higher at 31,488, compared to 26,567 in Benicia.
- Residents in Oceanside have a higher median age of 45.8 years compared to 45.3 years in Benicia.
- Oceanside has a higher median income of $136,997 compared to $124,375 in Benicia.
- A higher percentage of married families is found in Oceanside at 50.0% compared to 45.0% in Benicia.
- The poverty level is identical in both Oceanside and Benicia at 4%.
- Benicia has a higher unemployment rate at 4.3% compared to 3.2% in Oceanside.
Demographics
Demographics Oceanside vs Benicia provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Benicia |
|---|---|---|
| Black | 3 | 4 |
| White | 71 | 56 |
| Asian | 3 | 12 |
| Hispanic | 16 | 15 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oceanside vs Benicia
- In Benicia, the percentage of Black residents is higher at 4% compared to 3% in Oceanside.
- Oceanside has a higher percentage of White residents at 71% compared to 56% in Benicia.
- In Benicia, the Asian population stands at 12%, greater than 3% in Oceanside.
- The Hispanic community is larger in Oceanside at 16% compared to 15% in Benicia.
- The percentage of residents identifying as two or more races is higher in Benicia at 13%, compared to 7% in Oceanside.
- The percentage of American Indian residents is the same in both Oceanside and Benicia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Benicia |
|---|---|---|
| Mental Health Not Good | 13.7% | 14.6% |
| Physical Health Not Good | 8.3% | 8.8% |
| Depression | 17.6% | 18.7% |
| Smoking | 11.7% | 9.4% |
| Binge Drinking | 18.5% | 17.7% |
| Obesity | 26.9% | 27.1% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Oceanside vs Benicia
- In Benicia, a higher percentage report poor mental health at 14.6% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Benicia at 18.7% versus 17.6% in Oceanside.
- Smoking is more prevalent in Oceanside at 11.7% compared to 9.4% in Benicia.
- Binge drinking is more common in Oceanside at 18.5% compared to 17.7% in Benicia.
- Benicia has higher obesity rates at 27.1% compared to 26.9% in Oceanside.
- There is a higher percentage of disabled individuals in Benicia at 10.0% 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 | Benicia |
|---|---|---|
| No Schooling | 0.8% (241) | 0.7% (197) |
| High School Diploma | 16.5% (5,186) | 10.8% (2,877) |
| Less than High School | 7.5% (2,349) | 5.8% (1,542) |
| Bachelor's Degree and Higher | 34.5% (10,876) | 34.3% (9,125) |
Education Levels Comparison: Oceanside vs Benicia
- A higher percentage of residents in Oceanside have no formal schooling at 0.8% compared to 0.7% in Benicia.
- A higher percentage of residents in Oceanside hold a high school diploma at 16.5% compared to 10.8% in Benicia.
- More residents in Oceanside have less than a high school education at 7.5% compared to 5.8% in Benicia.
- A higher percentage of residents in Oceanside hold a bachelor's degree or higher at 34.5% compared to 34.3% in Benicia.
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.