Demographics details for Keyport, WA vs Bellflower, CA
Population Overview
Compare main population characteristics in Keyport, WA vs Bellflower, CA.
Data | Keyport | Bellflower |
---|---|---|
Population | 284 | 76,405 |
Median Age | 57.0 years | 35.5 years |
Median Income | $128,221 | $75,379 |
Married Families | 58.0% | 34.0% |
Poverty Level | 5% | 14% |
Unemployment Rate | 3.0 | 6.2 |
Population Comparison: Keyport vs Bellflower
- The population in Bellflower is higher at 76,405, compared to 284 in Keyport.
- Residents in Keyport have a higher median age of 57.0 years compared to 35.5 years in Bellflower.
- Keyport has a higher median income of $128,221 compared to $75,379 in Bellflower.
- A higher percentage of married families is found in Keyport at 58.0% compared to 34.0% in Bellflower.
- The poverty level is higher in Bellflower at 14%, compared to 5% in Keyport.
- Bellflower has a higher unemployment rate at 6.2% compared to 3.0% in Keyport.
Demographics
Demographics Keyport vs Bellflower provide insight into the diversity of the communities to compare.
Demographic | Keyport | Bellflower |
---|---|---|
Black | Data is updating | 13 |
White | 95 | -3 |
Asian | Data is updating | 12 |
Hispanic | 5 | 62 |
Two or More Races | Data is updating | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Keyport vs Bellflower
- In Bellflower, the percentage of Black residents is higher at 13% compared to 0% in Keyport.
- Keyport has a higher percentage of White residents at 95% compared to -3% in Bellflower.
- In Bellflower, the Asian population stands at 12%, greater than 0% in Keyport.
- Bellflower has a higher percentage of Hispanic residents at 62%, compared to 5% in Keyport.
- The percentage of residents identifying as two or more races is higher in Bellflower at 15%, compared to 0% in Keyport.
- In Bellflower, the percentage of American Indian residents is higher at 1%, compared to 0% in Keyport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Keyport | Bellflower |
---|---|---|
Mental Health Not Good | 14.9% | 16.1% |
Physical Health Not Good | 9.2% | 12.1% |
Depression | 26.4% | 15.9% |
Smoking | 11.5% | 12.2% |
Binge Drinking | 18.9% | 14.7% |
Obesity | 30.8% | 30.2% |
Disability Percentage | 24.0% | 10.0% |
Health Statistics Comparison: Keyport vs Bellflower
- In Bellflower, a higher percentage report poor mental health at 16.1% compared to 14.9% in Keyport.
- Depression is more prevalent in Keyport at 26.4% compared to 15.9% in Bellflower.
- Bellflower has a higher smoking rate at 12.2% compared to 11.5% in Keyport.
- Binge drinking is more common in Keyport at 18.9% compared to 14.7% in Bellflower.
- Obesity rates are higher in Keyport at 30.8% compared to 30.2% in Bellflower.
- Disability percentages are higher in Keyport at 24.0% 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 | Keyport | Bellflower |
---|---|---|
No Schooling | 6.0% (17) | 3.8% (2,888) |
High School Diploma | 8.8% (25) | 15.5% (11,834) |
Less than High School | 12.0% (34) | 28.9% (22,107) |
Bachelor's Degree and Higher | 37.3% (106) | 13.6% (10,396) |
Education Levels Comparison: Keyport vs Bellflower
- A higher percentage of residents in Keyport have no formal schooling at 6.0% compared to 3.8% in Bellflower.
- In Bellflower, the rate of residents with high school diplomas is higher at 15.5% compared to 8.8% in Keyport.
- The percentage of residents with less than a high school education is higher in Bellflower at 28.9%, compared to 12.0% in Keyport.
- A higher percentage of residents in Keyport hold a bachelor's degree or higher at 37.3% 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.