Demographics details for Bellflower, CA vs Brussels, WI
Population Overview
Compare main population characteristics in Bellflower, CA vs Brussels, WI.
Data | Bellflower | Brussels |
---|---|---|
Population | 76,405 | 1,105 |
Median Age | 35.5 years | 41.0 years |
Median Income | $75,379 | $61,000 |
Married Families | 34.0% | 43.0% |
Poverty Level | 14% | 3% |
Unemployment Rate | 6.2 | 4.0 |
Population Comparison: Bellflower vs Brussels
- In Bellflower, the population is higher at 76,405, compared to 1,105 in Brussels.
- The median age in Brussels is higher at 41.0 years, compared to 35.5 years in Bellflower.
- Bellflower has a higher median income of $75,379 compared to $61,000 in Brussels.
- In Brussels, the percentage of married families is higher at 43.0%, compared to 34.0% in Bellflower.
- Bellflower has a higher poverty level at 14% compared to 3% in Brussels.
- The unemployment rate in Bellflower is higher at 6.2%, compared to 4.0% in Brussels.
Demographics
Demographics Bellflower vs Brussels provide insight into the diversity of the communities to compare.
Demographic | Bellflower | Brussels |
---|---|---|
Black | 13 | Data is updating |
White | -3 | 100 |
Asian | 12 | Data is updating |
Hispanic | 62 | Data is updating |
Two or More Races | 15 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Bellflower vs Brussels
- A higher percentage of Black residents are in Bellflower at 13% compared to 0% in Brussels.
- The percentage of White residents is higher in Brussels at 100% compared to -3% in Bellflower.
- The Asian population is larger in Bellflower at 12% compared to 0% in Brussels.
- The Hispanic community is larger in Bellflower at 62% compared to 0% in Brussels.
- More residents identify as two or more races in Bellflower at 15% compared to 0% in Brussels.
- A greater percentage of American Indian residents live in Bellflower at 1% compared to 0% in Brussels.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bellflower | Brussels |
---|---|---|
Mental Health Not Good | 16.1% | Data is updating% |
Physical Health Not Good | 12.1% | Data is updating% |
Depression | 15.9% | Data is updating% |
Smoking | 12.2% | Data is updating% |
Binge Drinking | 14.7% | Data is updating% |
Obesity | 30.2% | Data is updating% |
Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Bellflower vs Brussels
- More residents in Bellflower report poor mental health at 16.1% compared to 0.0% in Brussels.
- Depression is more prevalent in Bellflower at 15.9% compared to 0.0% in Brussels.
- Smoking is more prevalent in Bellflower at 12.2% compared to 0.0% in Brussels.
- Binge drinking is more common in Bellflower at 14.7% compared to 0.0% in Brussels.
- Obesity rates are higher in Bellflower at 30.2% compared to 0.0% in Brussels.
- Disability percentages are higher in Bellflower at 10.0% compared to 0.0% in Brussels.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bellflower | Brussels |
---|---|---|
No Schooling | 3.8% (2,888) | 0.0% (Data is updating) |
High School Diploma | 15.5% (11,834) | 0.0% (Data is updating) |
Less than High School | 28.9% (22,107) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.6% (10,396) | 0.0% (Data is updating) |
Education Levels Comparison: Bellflower vs Brussels
- A higher percentage of residents in Bellflower have no formal schooling at 3.8% compared to 0.0% in Brussels.
- A higher percentage of residents in Bellflower hold a high school diploma at 15.5% compared to 0.0% in Brussels.
- More residents in Bellflower have less than a high school education at 28.9% compared to 0.0% in Brussels.
- A higher percentage of residents in Bellflower hold a bachelor's degree or higher at 13.6% compared to 0.0% in Brussels.
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.