Demographics details for Aiken, SC vs Bellflower, CA
Population Overview
Compare main population characteristics in Aiken, SC vs Bellflower, CA.
| Data | Aiken | Bellflower |
|---|---|---|
| Population | 32,463 | 76,405 |
| Median Age | 46.4 years | 35.5 years |
| Median Income | $65,712 | $75,379 |
| Married Families | 38.0% | 34.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 5.2 | 6.2 |
Population Comparison: Aiken vs Bellflower
- The population in Bellflower is higher at 76,405, compared to 32,463 in Aiken.
- Residents in Aiken have a higher median age of 46.4 years compared to 35.5 years in Bellflower.
- Bellflower has a higher median income of $75,379, compared to $65,712 in Aiken.
- A higher percentage of married families is found in Aiken at 38.0% compared to 34.0% in Bellflower.
- The poverty level is higher in Bellflower at 14%, compared to 12% in Aiken.
- Bellflower has a higher unemployment rate at 6.2% compared to 5.2% in Aiken.
Demographics
Demographics Aiken vs Bellflower provide insight into the diversity of the communities to compare.
| Demographic | Aiken | Bellflower |
|---|---|---|
| Black | 36 | 13 |
| White | 56 | -3 |
| Asian | 2 | 12 |
| Hispanic | 3 | 62 |
| Two or More Races | 3 | 15 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Aiken vs Bellflower
- A higher percentage of Black residents are in Aiken at 36% compared to 13% in Bellflower.
- Aiken has a higher percentage of White residents at 56% compared to -3% in Bellflower.
- In Bellflower, the Asian population stands at 12%, greater than 2% in Aiken.
- Bellflower has a higher percentage of Hispanic residents at 62%, compared to 3% in Aiken.
- The percentage of residents identifying as two or more races is higher in Bellflower at 15%, compared to 3% in Aiken.
- In Bellflower, the percentage of American Indian residents is higher at 1%, compared to 0% in Aiken.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aiken | Bellflower |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.1% |
| Physical Health Not Good | 11.0% | 12.1% |
| Depression | 20.3% | 15.9% |
| Smoking | 15.5% | 12.2% |
| Binge Drinking | 16.5% | 14.7% |
| Obesity | 35.7% | 30.2% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Aiken vs Bellflower
- More residents in Aiken report poor mental health at 16.6% compared to 16.1% in Bellflower.
- Depression is more prevalent in Aiken at 20.3% compared to 15.9% in Bellflower.
- Smoking is more prevalent in Aiken at 15.5% compared to 12.2% in Bellflower.
- Binge drinking is more common in Aiken at 16.5% compared to 14.7% in Bellflower.
- Obesity rates are higher in Aiken at 35.7% compared to 30.2% in Bellflower.
- Disability percentages are higher in Aiken at 12.0% 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 | Aiken | Bellflower |
|---|---|---|
| No Schooling | 0.5% (150) | 3.8% (2,888) |
| High School Diploma | 14.3% (4,646) | 15.5% (11,834) |
| Less than High School | 7.3% (2,369) | 28.9% (22,107) |
| Bachelor's Degree and Higher | 30.6% (9,923) | 13.6% (10,396) |
Education Levels Comparison: Aiken vs Bellflower
- In Bellflower, a larger percentage of residents lack formal schooling at 3.8% compared to 0.5% in Aiken.
- In Bellflower, the rate of residents with high school diplomas is higher at 15.5% compared to 14.3% in Aiken.
- The percentage of residents with less than a high school education is higher in Bellflower at 28.9%, compared to 7.3% in Aiken.
- A higher percentage of residents in Aiken hold a bachelor's degree or higher at 30.6% 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.