Demographics details for Franklin, IN vs Wellington, FL
Population Overview
Compare main population characteristics in Franklin, IN vs Wellington, FL.
| Data | Franklin | Wellington |
|---|---|---|
| Population | 25,728 | 61,438 |
| Median Age | 34.4 years | 41.5 years |
| Median Income | $72,344 | $105,848 |
| Married Families | 38.0% | 45.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 4.1 | 3.3 |
Population Comparison: Franklin vs Wellington
- The population in Wellington is higher at 61,438, compared to 25,728 in Franklin.
- The median age in Wellington is higher at 41.5 years, compared to 34.4 years in Franklin.
- Wellington has a higher median income of $105,848, compared to $72,344 in Franklin.
- In Wellington, the percentage of married families is higher at 45.0%, compared to 38.0% in Franklin.
- Franklin has a higher poverty level at 9% compared to 8% in Wellington.
- The unemployment rate in Franklin is higher at 4.1%, compared to 3.3% in Wellington.
Demographics
Demographics Franklin vs Wellington provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Wellington |
|---|---|---|
| Black | 4 | 11 |
| White | 87 | 42 |
| Asian | 1 | 5 |
| Hispanic | 3 | 27 |
| Two or More Races | 5 | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Franklin vs Wellington
- In Wellington, the percentage of Black residents is higher at 11% compared to 4% in Franklin.
- Franklin has a higher percentage of White residents at 87% compared to 42% in Wellington.
- In Wellington, the Asian population stands at 5%, greater than 1% in Franklin.
- Wellington has a higher percentage of Hispanic residents at 27%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Wellington at 15%, compared to 5% in Franklin.
- The percentage of American Indian residents is the same in both Franklin and Wellington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Wellington |
|---|---|---|
| Mental Health Not Good | 17.7% | 14.1% |
| Physical Health Not Good | 11.4% | 8.5% |
| Depression | 28.9% | 17.2% |
| Smoking | 19.2% | 13.9% |
| Binge Drinking | 16.9% | 16.7% |
| Obesity | 41.6% | 24.0% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Franklin vs Wellington
- More residents in Franklin report poor mental health at 17.7% compared to 14.1% in Wellington.
- Depression is more prevalent in Franklin at 28.9% compared to 17.2% in Wellington.
- Smoking is more prevalent in Franklin at 19.2% compared to 13.9% in Wellington.
- Binge drinking is more common in Franklin at 16.9% compared to 16.7% in Wellington.
- Obesity rates are higher in Franklin at 41.6% compared to 24.0% in Wellington.
- Disability percentages are higher in Franklin at 12.0% compared to 9.0% in Wellington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Wellington |
|---|---|---|
| No Schooling | 0.6% (148) | 0.7% (431) |
| High School Diploma | 19.1% (4,910) | 10.3% (6,304) |
| Less than High School | 8.9% (2,296) | 6.9% (4,234) |
| Bachelor's Degree and Higher | 13.4% (3,460) | 32.5% (19,977) |
Education Levels Comparison: Franklin vs Wellington
- In Wellington, a larger percentage of residents lack formal schooling at 0.7% compared to 0.6% in Franklin.
- A higher percentage of residents in Franklin hold a high school diploma at 19.1% compared to 10.3% in Wellington.
- More residents in Franklin have less than a high school education at 8.9% compared to 6.9% in Wellington.
- In Wellington, a larger share of residents have a bachelor's degree or higher at 32.5% 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.