Demographics details for Bunnell, FL vs Santa paula, CA
Population Overview
Compare main population characteristics in Bunnell, FL vs Santa paula, CA.
| Data | Bunnell | Santa paula |
|---|---|---|
| Population | 3,631 | 31,018 |
| Median Age | 51.4 years | 34.6 years |
| Median Income | $42,831 | $72,014 |
| Married Families | 26.0% | 36.0% |
| Poverty Level | 15% | 15% |
| Unemployment Rate | 4.1 | 5.6 |
Population Comparison: Bunnell vs Santa paula
- The population in Santa paula is higher at 31,018, compared to 3,631 in Bunnell.
- Residents in Bunnell have a higher median age of 51.4 years compared to 34.6 years in Santa paula.
- Santa paula has a higher median income of $72,014, compared to $42,831 in Bunnell.
- In Santa paula, the percentage of married families is higher at 36.0%, compared to 26.0% in Bunnell.
- The poverty level is identical in both Bunnell and Santa paula at 15%.
- Santa paula has a higher unemployment rate at 5.6% compared to 4.1% in Bunnell.
Demographics
Demographics Bunnell vs Santa paula provide insight into the diversity of the communities to compare.
| Demographic | Bunnell | Santa paula |
|---|---|---|
| Black | 19 | 1 |
| White | 68 | 2 |
| Asian | 1 | 1 |
| Hispanic | 4 | 81 |
| Two or More Races | 8 | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Bunnell vs Santa paula
- A higher percentage of Black residents are in Bunnell at 19% compared to 1% in Santa paula.
- Bunnell has a higher percentage of White residents at 68% compared to 2% in Santa paula.
- Both Bunnell and Santa paula have the same percentage of Asian residents at 1%.
- Santa paula has a higher percentage of Hispanic residents at 81%, compared to 4% in Bunnell.
- The percentage of residents identifying as two or more races is higher in Santa paula at 13%, compared to 8% in Bunnell.
- In Santa paula, the percentage of American Indian residents is higher at 2%, compared to 0% in Bunnell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bunnell | Santa paula |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.2% |
| Physical Health Not Good | 11.5% | 13.5% |
| Depression | 21.0% | 17.9% |
| Smoking | 21.0% | 13.4% |
| Binge Drinking | 16.5% | 15.6% |
| Obesity | 34.3% | 31.5% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Bunnell vs Santa paula
- More residents in Bunnell report poor mental health at 16.7% compared to 16.2% in Santa paula.
- Depression is more prevalent in Bunnell at 21.0% compared to 17.9% in Santa paula.
- Smoking is more prevalent in Bunnell at 21.0% compared to 13.4% in Santa paula.
- Binge drinking is more common in Bunnell at 16.5% compared to 15.6% in Santa paula.
- Obesity rates are higher in Bunnell at 34.3% compared to 31.5% in Santa paula.
- There is a higher percentage of disabled individuals in Santa paula at 12.0% compared to 9.0% in Bunnell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bunnell | Santa paula |
|---|---|---|
| No Schooling | 0.7% (25) | 2.9% (907) |
| High School Diploma | 31.2% (1,134) | 12.8% (3,980) |
| Less than High School | 13.9% (505) | 43.7% (13,547) |
| Bachelor's Degree and Higher | 11.3% (411) | 8.6% (2,653) |
Education Levels Comparison: Bunnell vs Santa paula
- In Santa paula, a larger percentage of residents lack formal schooling at 2.9% compared to 0.7% in Bunnell.
- A higher percentage of residents in Bunnell hold a high school diploma at 31.2% compared to 12.8% in Santa paula.
- The percentage of residents with less than a high school education is higher in Santa paula at 43.7%, compared to 13.9% in Bunnell.
- A higher percentage of residents in Bunnell hold a bachelor's degree or higher at 11.3% compared to 8.6% in Santa paula.
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.