Demographics details for Bellflower, CA vs Fort smith, AR
Population Overview
Compare main population characteristics in Bellflower, CA vs Fort smith, AR.
Data | Bellflower | Fort smith |
---|---|---|
Population | 76,405 | 89,992 |
Median Age | 35.5 years | 36.4 years |
Median Income | $75,379 | $50,799 |
Married Families | 34.0% | 36.0% |
Poverty Level | 14% | 12% |
Unemployment Rate | 6.2 | 3.7 |
Population Comparison: Bellflower vs Fort smith
- The population in Fort smith is higher at 89,992, compared to 76,405 in Bellflower.
- The median age in Fort smith is higher at 36.4 years, compared to 35.5 years in Bellflower.
- Bellflower has a higher median income of $75,379 compared to $50,799 in Fort smith.
- In Fort smith, 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 12% in Fort smith.
- The unemployment rate in Bellflower is higher at 6.2%, compared to 3.7% in Fort smith.
Demographics
Demographics Bellflower vs Fort smith provide insight into the diversity of the communities to compare.
Demographic | Bellflower | Fort smith |
---|---|---|
Black | 13 | 8 |
White | -3 | 57 |
Asian | 12 | 6 |
Hispanic | 62 | 19 |
Two or More Races | 15 | 9 |
American Indian | 1 | 1 |
Demographics Comparison: Bellflower vs Fort smith
- A higher percentage of Black residents are in Bellflower at 13% compared to 8% in Fort smith.
- The percentage of White residents is higher in Fort smith at 57% compared to -3% in Bellflower.
- The Asian population is larger in Bellflower at 12% compared to 6% in Fort smith.
- The Hispanic community is larger in Bellflower at 62% compared to 19% in Fort smith.
- More residents identify as two or more races in Bellflower at 15% compared to 9% in Fort smith.
- The percentage of American Indian residents is the same in both Bellflower and Fort smith at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bellflower | Fort smith |
---|---|---|
Mental Health Not Good | 16.1% | 19.6% |
Physical Health Not Good | 12.1% | 14.7% |
Depression | 15.9% | 27.8% |
Smoking | 12.2% | 21.8% |
Binge Drinking | 14.7% | 13.2% |
Obesity | 30.2% | 39.5% |
Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Bellflower vs Fort smith
- In Fort smith, a higher percentage report poor mental health at 19.6% compared to 16.1% in Bellflower.
- Higher depression rates are seen in Fort smith at 27.8% versus 15.9% in Bellflower.
- Fort smith has a higher smoking rate at 21.8% compared to 12.2% in Bellflower.
- Binge drinking is more common in Bellflower at 14.7% compared to 13.2% in Fort smith.
- Fort smith has higher obesity rates at 39.5% compared to 30.2% in Bellflower.
- There is a higher percentage of disabled individuals in Fort smith 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 | Fort smith |
---|---|---|
No Schooling | 3.8% (2,888) | 2.3% (2,029) |
High School Diploma | 15.5% (11,834) | 14.8% (13,356) |
Less than High School | 28.9% (22,107) | 19.8% (17,822) |
Bachelor's Degree and Higher | 13.6% (10,396) | 16.4% (14,745) |
Education Levels Comparison: Bellflower vs Fort smith
- A higher percentage of residents in Bellflower have no formal schooling at 3.8% compared to 2.3% in Fort smith.
- A higher percentage of residents in Bellflower hold a high school diploma at 15.5% compared to 14.8% in Fort smith.
- More residents in Bellflower have less than a high school education at 28.9% compared to 19.8% in Fort smith.
- In Fort smith, a larger share of residents have a bachelor's degree or higher at 16.4% 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.