Demographics details for Bellflower, CA vs Oceanside, NY
Population Overview
Compare main population characteristics in Bellflower, CA vs Oceanside, NY.
| Data | Bellflower | Oceanside |
|---|---|---|
| Population | 76,405 | 31,488 |
| Median Age | 35.5 years | 45.8 years |
| Median Income | $75,379 | $136,997 |
| Married Families | 34.0% | 50.0% |
| Poverty Level | 14% | 4% |
| Unemployment Rate | 6.2 | 3.2 |
Population Comparison: Bellflower vs Oceanside
- In Bellflower, the population is higher at 76,405, compared to 31,488 in Oceanside.
- The median age in Oceanside is higher at 45.8 years, compared to 35.5 years in Bellflower.
- Oceanside has a higher median income of $136,997, compared to $75,379 in Bellflower.
- In Oceanside, the percentage of married families is higher at 50.0%, compared to 34.0% in Bellflower.
- Bellflower has a higher poverty level at 14% compared to 4% in Oceanside.
- The unemployment rate in Bellflower is higher at 6.2%, compared to 3.2% in Oceanside.
Demographics
Demographics Bellflower vs Oceanside provide insight into the diversity of the communities to compare.
| Demographic | Bellflower | Oceanside |
|---|---|---|
| Black | 13 | 3 |
| White | -3 | 71 |
| Asian | 12 | 3 |
| Hispanic | 62 | 16 |
| Two or More Races | 15 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Bellflower vs Oceanside
- A higher percentage of Black residents are in Bellflower at 13% compared to 3% in Oceanside.
- The percentage of White residents is higher in Oceanside at 71% compared to -3% in Bellflower.
- The Asian population is larger in Bellflower at 12% compared to 3% in Oceanside.
- The Hispanic community is larger in Bellflower at 62% compared to 16% in Oceanside.
- More residents identify as two or more races in Bellflower at 15% compared to 7% in Oceanside.
- A greater percentage of American Indian residents live in Bellflower at 1% compared to 0% in Oceanside.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bellflower | Oceanside |
|---|---|---|
| Mental Health Not Good | 16.1% | 13.7% |
| Physical Health Not Good | 12.1% | 8.3% |
| Depression | 15.9% | 17.6% |
| Smoking | 12.2% | 11.7% |
| Binge Drinking | 14.7% | 18.5% |
| Obesity | 30.2% | 26.9% |
| Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Bellflower vs Oceanside
- More residents in Bellflower report poor mental health at 16.1% compared to 13.7% in Oceanside.
- Higher depression rates are seen in Oceanside at 17.6% versus 15.9% in Bellflower.
- Smoking is more prevalent in Bellflower at 12.2% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.5% compared to 14.7% in Bellflower.
- Obesity rates are higher in Bellflower at 30.2% compared to 26.9% in Oceanside.
- Disability percentages are higher in Bellflower 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 | Bellflower | Oceanside |
|---|---|---|
| No Schooling | 3.8% (2,888) | 0.8% (241) |
| High School Diploma | 15.5% (11,834) | 16.5% (5,186) |
| Less than High School | 28.9% (22,107) | 7.5% (2,349) |
| Bachelor's Degree and Higher | 13.6% (10,396) | 34.5% (10,876) |
Education Levels Comparison: Bellflower vs Oceanside
- A higher percentage of residents in Bellflower have no formal schooling at 3.8% compared to 0.8% in Oceanside.
- In Oceanside, the rate of residents with high school diplomas is higher at 16.5% compared to 15.5% in Bellflower.
- More residents in Bellflower have less than a high school education at 28.9% compared to 7.5% in Oceanside.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 34.5% compared to 13.6% in Bellflower.
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.