Demographics details for Bellflower, CA vs Cleveland, MS
Population Overview
Compare main population characteristics in Bellflower, CA vs Cleveland, MS.
| Data | Bellflower | Cleveland |
|---|---|---|
| Population | 76,405 | 10,545 |
| Median Age | 35.5 years | 33.8 years |
| Median Income | $75,379 | $42,005 |
| Married Families | 34.0% | 27.0% |
| Poverty Level | 14% | 24% |
| Unemployment Rate | 6.2 | 5.6 |
Population Comparison: Bellflower vs Cleveland
- In Bellflower, the population is higher at 76,405, compared to 10,545 in Cleveland.
- Residents in Bellflower have a higher median age of 35.5 years compared to 33.8 years in Cleveland.
- Bellflower has a higher median income of $75,379 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Bellflower at 34.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 14% in Bellflower.
- The unemployment rate in Bellflower is higher at 6.2%, compared to 5.6% in Cleveland.
Demographics
Demographics Bellflower vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Bellflower | Cleveland |
|---|---|---|
| Black | 13 | 56 |
| White | -3 | 36 |
| Asian | 12 | 2 |
| Hispanic | 62 | 1 |
| Two or More Races | 15 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Bellflower vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 13% in Bellflower.
- The percentage of White residents is higher in Cleveland at 36% compared to -3% in Bellflower.
- The Asian population is larger in Bellflower at 12% compared to 2% in Cleveland.
- The Hispanic community is larger in Bellflower at 62% compared to 1% in Cleveland.
- More residents identify as two or more races in Bellflower at 15% compared to 5% in Cleveland.
- A greater percentage of American Indian residents live in Bellflower at 1% compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bellflower | Cleveland |
|---|---|---|
| Mental Health Not Good | 16.1% | 17.6% |
| Physical Health Not Good | 12.1% | 13.8% |
| Depression | 15.9% | 20.4% |
| Smoking | 12.2% | 21.0% |
| Binge Drinking | 14.7% | 12.7% |
| Obesity | 30.2% | 41.4% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Bellflower vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 16.1% in Bellflower.
- Higher depression rates are seen in Cleveland at 20.4% versus 15.9% in Bellflower.
- Cleveland has a higher smoking rate at 21.0% compared to 12.2% in Bellflower.
- Binge drinking is more common in Bellflower at 14.7% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 30.2% in Bellflower.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% 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 | Cleveland |
|---|---|---|
| No Schooling | 3.8% (2,888) | 0.9% (99) |
| High School Diploma | 15.5% (11,834) | 10.0% (1,059) |
| Less than High School | 28.9% (22,107) | 13.3% (1,404) |
| Bachelor's Degree and Higher | 13.6% (10,396) | 21.3% (2,242) |
Education Levels Comparison: Bellflower vs Cleveland
- A higher percentage of residents in Bellflower have no formal schooling at 3.8% compared to 0.9% in Cleveland.
- A higher percentage of residents in Bellflower hold a high school diploma at 15.5% compared to 10.0% in Cleveland.
- More residents in Bellflower have less than a high school education at 28.9% compared to 13.3% in Cleveland.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 21.3% 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.