Demographics details for Bellflower, CA vs Dayton, PA
Population Overview
Compare main population characteristics in Bellflower, CA vs Dayton, PA.
| Data | Bellflower | Dayton |
|---|---|---|
| Population | 76,405 | 544 |
| Median Age | 35.5 years | 44.7 years |
| Median Income | $75,379 | $53,750 |
| Married Families | 34.0% | 50.0% |
| Poverty Level | 14% | 7% |
| Unemployment Rate | 6.2 | 4.5 |
Population Comparison: Bellflower vs Dayton
- In Bellflower, the population is higher at 76,405, compared to 544 in Dayton.
- The median age in Dayton is higher at 44.7 years, compared to 35.5 years in Bellflower.
- Bellflower has a higher median income of $75,379 compared to $53,750 in Dayton.
- In Dayton, 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 7% in Dayton.
- The unemployment rate in Bellflower is higher at 6.2%, compared to 4.5% in Dayton.
Demographics
Demographics Bellflower vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Bellflower | Dayton |
|---|---|---|
| Black | 13 | Data is updating |
| White | -3 | 96 |
| Asian | 12 | Data is updating |
| Hispanic | 62 | Data is updating |
| Two or More Races | 15 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Bellflower vs Dayton
- A higher percentage of Black residents are in Bellflower at 13% compared to 0% in Dayton.
- The percentage of White residents is higher in Dayton at 96% compared to -3% in Bellflower.
- The Asian population is larger in Bellflower at 12% compared to 0% in Dayton.
- The Hispanic community is larger in Bellflower at 62% compared to 0% in Dayton.
- More residents identify as two or more races in Bellflower at 15% compared to 4% in Dayton.
- A greater percentage of American Indian residents live in Bellflower at 1% compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bellflower | Dayton |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.1% |
| Physical Health Not Good | 12.1% | 13.0% |
| Depression | 15.9% | 24.0% |
| Smoking | 12.2% | 22.4% |
| Binge Drinking | 14.7% | 18.3% |
| Obesity | 30.2% | 36.0% |
| Disability Percentage | 10.0% | 22.0% |
Health Statistics Comparison: Bellflower vs Dayton
- In Dayton, a higher percentage report poor mental health at 18.1% compared to 16.1% in Bellflower.
- Higher depression rates are seen in Dayton at 24.0% versus 15.9% in Bellflower.
- Dayton has a higher smoking rate at 22.4% compared to 12.2% in Bellflower.
- More residents engage in binge drinking in Dayton at 18.3% compared to 14.7% in Bellflower.
- Dayton has higher obesity rates at 36.0% compared to 30.2% in Bellflower.
- There is a higher percentage of disabled individuals in Dayton at 22.0% compared to 10.0% in Bellflower.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bellflower | Dayton |
|---|---|---|
| No Schooling | 3.8% (2,888) | 0.6% (3) |
| High School Diploma | 15.5% (11,834) | 35.1% (191) |
| Less than High School | 28.9% (22,107) | 15.8% (86) |
| Bachelor's Degree and Higher | 13.6% (10,396) | 9.2% (50) |
Education Levels Comparison: Bellflower vs Dayton
- A higher percentage of residents in Bellflower have no formal schooling at 3.8% compared to 0.6% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 35.1% compared to 15.5% in Bellflower.
- More residents in Bellflower have less than a high school education at 28.9% compared to 15.8% in Dayton.
- A higher percentage of residents in Bellflower hold a bachelor's degree or higher at 13.6% compared to 9.2% in Dayton.
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.