Demographics details for Buhl, MN vs Bellflower, CA
Population Overview
Compare main population characteristics in Buhl, MN vs Bellflower, CA.
Data | Buhl | Bellflower |
---|---|---|
Population | 949 | 76,405 |
Median Age | 48.3 years | 35.5 years |
Median Income | $55,925 | $75,379 |
Married Families | 38.0% | 34.0% |
Poverty Level | 10% | 14% |
Unemployment Rate | 4.5 | 6.2 |
Population Comparison: Buhl vs Bellflower
- The population in Bellflower is higher at 76,405, compared to 949 in Buhl.
- Residents in Buhl have a higher median age of 48.3 years compared to 35.5 years in Bellflower.
- Bellflower has a higher median income of $75,379, compared to $55,925 in Buhl.
- A higher percentage of married families is found in Buhl at 38.0% compared to 34.0% in Bellflower.
- The poverty level is higher in Bellflower at 14%, compared to 10% in Buhl.
- Bellflower has a higher unemployment rate at 6.2% compared to 4.5% in Buhl.
Demographics
Demographics Buhl vs Bellflower provide insight into the diversity of the communities to compare.
Demographic | Buhl | Bellflower |
---|---|---|
Black | 1 | 13 |
White | 90 | -3 |
Asian | Data is updating | 12 |
Hispanic | Data is updating | 62 |
Two or More Races | 7 | 15 |
American Indian | 2 | 1 |
Demographics Comparison: Buhl vs Bellflower
- In Bellflower, the percentage of Black residents is higher at 13% compared to 1% in Buhl.
- Buhl has a higher percentage of White residents at 90% compared to -3% in Bellflower.
- In Bellflower, the Asian population stands at 12%, greater than 0% in Buhl.
- Bellflower has a higher percentage of Hispanic residents at 62%, compared to 0% in Buhl.
- The percentage of residents identifying as two or more races is higher in Bellflower at 15%, compared to 7% in Buhl.
- A greater percentage of American Indian residents live in Buhl at 2% compared to 1% in Bellflower.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Buhl | Bellflower |
---|---|---|
Mental Health Not Good | 16.0% | 16.1% |
Physical Health Not Good | 9.2% | 12.1% |
Depression | 23.2% | 15.9% |
Smoking | 18.6% | 12.2% |
Binge Drinking | 21.8% | 14.7% |
Obesity | 34.2% | 30.2% |
Disability Percentage | 18.0% | 10.0% |
Health Statistics Comparison: Buhl vs Bellflower
- In Bellflower, a higher percentage report poor mental health at 16.1% compared to 16.0% in Buhl.
- Depression is more prevalent in Buhl at 23.2% compared to 15.9% in Bellflower.
- Smoking is more prevalent in Buhl at 18.6% compared to 12.2% in Bellflower.
- Binge drinking is more common in Buhl at 21.8% compared to 14.7% in Bellflower.
- Obesity rates are higher in Buhl at 34.2% compared to 30.2% in Bellflower.
- Disability percentages are higher in Buhl at 18.0% 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 | Buhl | Bellflower |
---|---|---|
No Schooling | 0.8% (8) | 3.8% (2,888) |
High School Diploma | 27.6% (262) | 15.5% (11,834) |
Less than High School | 8.9% (84) | 28.9% (22,107) |
Bachelor's Degree and Higher | 13.4% (127) | 13.6% (10,396) |
Education Levels Comparison: Buhl vs Bellflower
- In Bellflower, a larger percentage of residents lack formal schooling at 3.8% compared to 0.8% in Buhl.
- A higher percentage of residents in Buhl hold a high school diploma at 27.6% compared to 15.5% in Bellflower.
- The percentage of residents with less than a high school education is higher in Bellflower at 28.9%, compared to 8.9% in Buhl.
- In Bellflower, a larger share of residents have a bachelor's degree or higher at 13.6% compared to 13.4% in Buhl.
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.