Demographics details for Bonita springs, FL vs Franklin, IN
Population Overview
Compare main population characteristics in Bonita springs, FL vs Franklin, IN.
| Data | Bonita springs | Franklin |
|---|---|---|
| Population | 56,370 | 25,728 |
| Median Age | 60.2 years | 34.4 years |
| Median Income | $84,668 | $72,344 |
| Married Families | 54.0% | 38.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 3.1 | 4.1 |
Population Comparison: Bonita springs vs Franklin
- In Bonita springs, the population is higher at 56,370, compared to 25,728 in Franklin.
- Residents in Bonita springs have a higher median age of 60.2 years compared to 34.4 years in Franklin.
- Bonita springs has a higher median income of $84,668 compared to $72,344 in Franklin.
- A higher percentage of married families is found in Bonita springs at 54.0% compared to 38.0% in Franklin.
- The poverty level is higher in Franklin at 9%, compared to 8% in Bonita springs.
- Franklin has a higher unemployment rate at 4.1% compared to 3.1% in Bonita springs.
Demographics
Demographics Bonita springs vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Bonita springs | Franklin |
|---|---|---|
| Black | 2 | 4 |
| White | 68 | 87 |
| Asian | 1 | 1 |
| Hispanic | 21 | 3 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bonita springs vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 2% in Bonita springs.
- The percentage of White residents is higher in Franklin at 87% compared to 68% in Bonita springs.
- Both Bonita springs and Franklin have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Bonita springs at 21% compared to 3% in Franklin.
- More residents identify as two or more races in Bonita springs at 8% compared to 5% in Franklin.
- The percentage of American Indian residents is the same in both Bonita springs and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bonita springs | Franklin |
|---|---|---|
| Mental Health Not Good | 14.4% | 17.7% |
| Physical Health Not Good | 9.7% | 11.4% |
| Depression | 17.7% | 28.9% |
| Smoking | 16.1% | 19.2% |
| Binge Drinking | 18.1% | 16.9% |
| Obesity | 26.1% | 41.6% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Bonita springs vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 14.4% in Bonita springs.
- Higher depression rates are seen in Franklin at 28.9% versus 17.7% in Bonita springs.
- Franklin has a higher smoking rate at 19.2% compared to 16.1% in Bonita springs.
- Binge drinking is more common in Bonita springs at 18.1% compared to 16.9% in Franklin.
- Franklin has higher obesity rates at 41.6% compared to 26.1% in Bonita springs.
- Disability percentages are the same in both Bonita springs and Franklin at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bonita springs | Franklin |
|---|---|---|
| No Schooling | 1.4% (810) | 0.6% (148) |
| High School Diploma | 14.9% (8,384) | 19.1% (4,910) |
| Less than High School | 15.7% (8,845) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 33.1% (18,684) | 13.4% (3,460) |
Education Levels Comparison: Bonita springs vs Franklin
- A higher percentage of residents in Bonita springs have no formal schooling at 1.4% compared to 0.6% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 19.1% compared to 14.9% in Bonita springs.
- More residents in Bonita springs have less than a high school education at 15.7% compared to 8.9% in Franklin.
- A higher percentage of residents in Bonita springs hold a bachelor's degree or higher at 33.1% compared to 13.4% in Franklin.
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.