Demographics details for Bellflower, CA vs Addyston, OH
Population Overview
Compare main population characteristics in Bellflower, CA vs Addyston, OH.
Data | Bellflower | Addyston |
---|---|---|
Population | 76,405 | 907 |
Median Age | 35.5 years | 29.1 years |
Median Income | $75,379 | $46,818 |
Married Families | 34.0% | 26.0% |
Poverty Level | 14% | 9% |
Unemployment Rate | 6.2 | 3.5 |
Population Comparison: Bellflower vs Addyston
- In Bellflower, the population is higher at 76,405, compared to 907 in Addyston.
- Residents in Bellflower have a higher median age of 35.5 years compared to 29.1 years in Addyston.
- Bellflower has a higher median income of $75,379 compared to $46,818 in Addyston.
- A higher percentage of married families is found in Bellflower at 34.0% compared to 26.0% in Addyston.
- Bellflower has a higher poverty level at 14% compared to 9% in Addyston.
- The unemployment rate in Bellflower is higher at 6.2%, compared to 3.5% in Addyston.
Demographics
Demographics Bellflower vs Addyston provide insight into the diversity of the communities to compare.
Demographic | Bellflower | Addyston |
---|---|---|
Black | 13 | 16 |
White | -3 | 74 |
Asian | 12 | Data is updating |
Hispanic | 62 | 3 |
Two or More Races | 15 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Bellflower vs Addyston
- In Addyston, the percentage of Black residents is higher at 16% compared to 13% in Bellflower.
- The percentage of White residents is higher in Addyston at 74% compared to -3% in Bellflower.
- The Asian population is larger in Bellflower at 12% compared to 0% in Addyston.
- The Hispanic community is larger in Bellflower at 62% compared to 3% in Addyston.
- More residents identify as two or more races in Bellflower at 15% compared to 7% in Addyston.
- A greater percentage of American Indian residents live in Bellflower at 1% compared to 0% in Addyston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bellflower | Addyston |
---|---|---|
Mental Health Not Good | 16.1% | 17.1% |
Physical Health Not Good | 12.1% | 11.4% |
Depression | 15.9% | 23.6% |
Smoking | 12.2% | 19.5% |
Binge Drinking | 14.7% | 22.0% |
Obesity | 30.2% | 33.9% |
Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Bellflower vs Addyston
- In Addyston, a higher percentage report poor mental health at 17.1% compared to 16.1% in Bellflower.
- Higher depression rates are seen in Addyston at 23.6% versus 15.9% in Bellflower.
- Addyston has a higher smoking rate at 19.5% compared to 12.2% in Bellflower.
- More residents engage in binge drinking in Addyston at 22.0% compared to 14.7% in Bellflower.
- Addyston has higher obesity rates at 33.9% compared to 30.2% in Bellflower.
- There is a higher percentage of disabled individuals in Addyston 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 | Bellflower | Addyston |
---|---|---|
No Schooling | 3.8% (2,888) | 0.0% (Data is updating) |
High School Diploma | 15.5% (11,834) | 30.3% (275) |
Less than High School | 28.9% (22,107) | 21.1% (191) |
Bachelor's Degree and Higher | 13.6% (10,396) | 5.2% (47) |
Education Levels Comparison: Bellflower vs Addyston
- A higher percentage of residents in Bellflower have no formal schooling at 3.8% compared to 0.0% in Addyston.
- In Addyston, the rate of residents with high school diplomas is higher at 30.3% compared to 15.5% in Bellflower.
- More residents in Bellflower have less than a high school education at 28.9% compared to 21.1% in Addyston.
- A higher percentage of residents in Bellflower hold a bachelor's degree or higher at 13.6% compared to 5.2% in Addyston.
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.