Demographics details for Bellflower, CA vs Wichita, KS
Population Overview
Compare main population characteristics in Bellflower, CA vs Wichita, KS.
| Data | Bellflower | Wichita |
|---|---|---|
| Population | 76,405 | 396,192 |
| Median Age | 35.5 years | 35.4 years |
| Median Income | $75,379 | $60,712 |
| Married Families | 34.0% | 36.0% |
| Poverty Level | 14% | 13% |
| Unemployment Rate | 6.2 | 4.1 |
Population Comparison: Bellflower vs Wichita
- The population in Wichita is higher at 396,192, compared to 76,405 in Bellflower.
- Residents in Bellflower have a higher median age of 35.5 years compared to 35.4 years in Wichita.
- Bellflower has a higher median income of $75,379 compared to $60,712 in Wichita.
- In Wichita, the percentage of married families is higher at 36.0%, compared to 34.0% in Bellflower.
- Bellflower has a higher poverty level at 14% compared to 13% in Wichita.
- The unemployment rate in Bellflower is higher at 6.2%, compared to 4.1% in Wichita.
Demographics
Demographics Bellflower vs Wichita provide insight into the diversity of the communities to compare.
| Demographic | Bellflower | Wichita |
|---|---|---|
| Black | 13 | 10 |
| White | -3 | 56 |
| Asian | 12 | 5 |
| Hispanic | 62 | 18 |
| Two or More Races | 15 | 10 |
| American Indian | 1 | 1 |
Demographics Comparison: Bellflower vs Wichita
- A higher percentage of Black residents are in Bellflower at 13% compared to 10% in Wichita.
- The percentage of White residents is higher in Wichita at 56% compared to -3% in Bellflower.
- The Asian population is larger in Bellflower at 12% compared to 5% in Wichita.
- The Hispanic community is larger in Bellflower at 62% compared to 18% in Wichita.
- More residents identify as two or more races in Bellflower at 15% compared to 10% in Wichita.
- The percentage of American Indian residents is the same in both Bellflower and Wichita at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bellflower | Wichita |
|---|---|---|
| Mental Health Not Good | 16.1% | 17.1% |
| Physical Health Not Good | 12.1% | 10.7% |
| Depression | 15.9% | 21.2% |
| Smoking | 12.2% | 20.0% |
| Binge Drinking | 14.7% | 16.6% |
| Obesity | 30.2% | 40.4% |
| Disability Percentage | 10.0% | 15.0% |
Health Statistics Comparison: Bellflower vs Wichita
- In Wichita, a higher percentage report poor mental health at 17.1% compared to 16.1% in Bellflower.
- Higher depression rates are seen in Wichita at 21.2% versus 15.9% in Bellflower.
- Wichita has a higher smoking rate at 20.0% compared to 12.2% in Bellflower.
- More residents engage in binge drinking in Wichita at 16.6% compared to 14.7% in Bellflower.
- Wichita has higher obesity rates at 40.4% compared to 30.2% in Bellflower.
- There is a higher percentage of disabled individuals in Wichita at 15.0% 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 | Wichita |
|---|---|---|
| No Schooling | 3.8% (2,888) | 1.6% (6,509) |
| High School Diploma | 15.5% (11,834) | 13.5% (53,581) |
| Less than High School | 28.9% (22,107) | 13.8% (54,534) |
| Bachelor's Degree and Higher | 13.6% (10,396) | 20.3% (80,251) |
Education Levels Comparison: Bellflower vs Wichita
- A higher percentage of residents in Bellflower have no formal schooling at 3.8% compared to 1.6% in Wichita.
- A higher percentage of residents in Bellflower hold a high school diploma at 15.5% compared to 13.5% in Wichita.
- More residents in Bellflower have less than a high school education at 28.9% compared to 13.8% in Wichita.
- In Wichita, a larger share of residents have a bachelor's degree or higher at 20.3% 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.