Demographics details for Franklin, IN vs Culleoka, TN
Population Overview
Compare main population characteristics in Franklin, IN vs Culleoka, TN.
| Data | Franklin | Culleoka |
|---|---|---|
| Population | 25,728 | 340 |
| Median Age | 34.4 years | 36.0 years |
| Median Income | $72,344 | $50,000 |
| Married Families | 38.0% | 70.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Franklin vs Culleoka
- In Franklin, the population is higher at 25,728, compared to 340 in Culleoka.
- The median age in Culleoka is higher at 36.0 years, compared to 34.4 years in Franklin.
- Franklin has a higher median income of $72,344 compared to $50,000 in Culleoka.
- In Culleoka, the percentage of married families is higher at 70.0%, compared to 38.0% in Franklin.
- The poverty level is higher in Culleoka at 12%, compared to 9% in Franklin.
- Culleoka has a higher unemployment rate at 4.5% compared to 4.1% in Franklin.
Demographics
Demographics Franklin vs Culleoka provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Culleoka |
|---|---|---|
| Black | 4 | 4 |
| White | 87 | 90 |
| Asian | 1 | 2 |
| Hispanic | 3 | 3 |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Franklin vs Culleoka
- The percentage of Black residents is the same in both Franklin and Culleoka at 4%.
- The percentage of White residents is higher in Culleoka at 90% compared to 87% in Franklin.
- In Culleoka, the Asian population stands at 2%, greater than 1% in Franklin.
- The percentage of Hispanic residents is the same in both Franklin and Culleoka at 3%.
- More residents identify as two or more races in Franklin at 5% compared to 1% in Culleoka.
- The percentage of American Indian residents is the same in both Franklin and Culleoka at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Culleoka |
|---|---|---|
| Mental Health Not Good | 17.7% | Data is updating% |
| Physical Health Not Good | 11.4% | Data is updating% |
| Depression | 28.9% | Data is updating% |
| Smoking | 19.2% | Data is updating% |
| Binge Drinking | 16.9% | Data is updating% |
| Obesity | 41.6% | Data is updating% |
| Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Franklin vs Culleoka
- More residents in Franklin report poor mental health at 17.7% compared to 0.0% in Culleoka.
- Depression is more prevalent in Franklin at 28.9% compared to 0.0% in Culleoka.
- Smoking is more prevalent in Franklin at 19.2% compared to 0.0% in Culleoka.
- Binge drinking is more common in Franklin at 16.9% compared to 0.0% in Culleoka.
- Obesity rates are higher in Franklin at 41.6% compared to 0.0% in Culleoka.
- Disability percentages are higher in Franklin at 12.0% compared to 0.0% in Culleoka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Culleoka |
|---|---|---|
| No Schooling | 0.6% (148) | 0.0% (Data is updating) |
| High School Diploma | 19.1% (4,910) | 0.0% (Data is updating) |
| Less than High School | 8.9% (2,296) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 13.4% (3,460) | 0.0% (Data is updating) |
Education Levels Comparison: Franklin vs Culleoka
- A higher percentage of residents in Franklin have no formal schooling at 0.6% compared to 0.0% in Culleoka.
- A higher percentage of residents in Franklin hold a high school diploma at 19.1% compared to 0.0% in Culleoka.
- More residents in Franklin have less than a high school education at 8.9% compared to 0.0% in Culleoka.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 13.4% compared to 0.0% in Culleoka.
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.