Demographics details for Beverly, MA vs Bellflower, CA
Population Overview
Compare main population characteristics in Beverly, MA vs Bellflower, CA.
| Data | Beverly | Bellflower |
|---|---|---|
| Population | 42,235 | 76,405 |
| Median Age | 40.3 years | 35.5 years |
| Median Income | $99,525 | $75,379 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 3.5 | 6.2 |
Population Comparison: Beverly vs Bellflower
- The population in Bellflower is higher at 76,405, compared to 42,235 in Beverly.
- Residents in Beverly have a higher median age of 40.3 years compared to 35.5 years in Bellflower.
- Beverly has a higher median income of $99,525 compared to $75,379 in Bellflower.
- A higher percentage of married families is found in Beverly at 40.0% compared to 34.0% in Bellflower.
- The poverty level is higher in Bellflower at 14%, compared to 5% in Beverly.
- Bellflower has a higher unemployment rate at 6.2% compared to 3.5% in Beverly.
Demographics
Demographics Beverly vs Bellflower provide insight into the diversity of the communities to compare.
| Demographic | Beverly | Bellflower |
|---|---|---|
| Black | 3 | 13 |
| White | 83 | -3 |
| Asian | 3 | 12 |
| Hispanic | 6 | 62 |
| Two or More Races | 5 | 15 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Beverly vs Bellflower
- In Bellflower, the percentage of Black residents is higher at 13% compared to 3% in Beverly.
- Beverly has a higher percentage of White residents at 83% compared to -3% in Bellflower.
- In Bellflower, the Asian population stands at 12%, greater than 3% in Beverly.
- Bellflower has a higher percentage of Hispanic residents at 62%, compared to 6% in Beverly.
- The percentage of residents identifying as two or more races is higher in Bellflower at 15%, compared to 5% in Beverly.
- In Bellflower, the percentage of American Indian residents is higher at 1%, compared to 0% in Beverly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beverly | Bellflower |
|---|---|---|
| Mental Health Not Good | 16.1% | 16.1% |
| Physical Health Not Good | 8.5% | 12.1% |
| Depression | 23.6% | 15.9% |
| Smoking | 11.9% | 12.2% |
| Binge Drinking | 18.4% | 14.7% |
| Obesity | 28.5% | 30.2% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Beverly vs Bellflower
- Poor mental health levels are equal in both Beverly and Bellflower at 16.1%.
- Depression is more prevalent in Beverly at 23.6% compared to 15.9% in Bellflower.
- Bellflower has a higher smoking rate at 12.2% compared to 11.9% in Beverly.
- Binge drinking is more common in Beverly at 18.4% compared to 14.7% in Bellflower.
- Bellflower has higher obesity rates at 30.2% compared to 28.5% in Beverly.
- Disability percentages are higher in Beverly at 11.0% 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 | Beverly | Bellflower |
|---|---|---|
| No Schooling | 0.3% (143) | 3.8% (2,888) |
| High School Diploma | 13.0% (5,502) | 15.5% (11,834) |
| Less than High School | 4.0% (1,686) | 28.9% (22,107) |
| Bachelor's Degree and Higher | 36.2% (15,307) | 13.6% (10,396) |
Education Levels Comparison: Beverly vs Bellflower
- In Bellflower, a larger percentage of residents lack formal schooling at 3.8% compared to 0.3% in Beverly.
- In Bellflower, the rate of residents with high school diplomas is higher at 15.5% compared to 13.0% in Beverly.
- The percentage of residents with less than a high school education is higher in Bellflower at 28.9%, compared to 4.0% in Beverly.
- A higher percentage of residents in Beverly hold a bachelor's degree or higher at 36.2% 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.