Demographics details for Seneca, MO vs Franklin, IN
Population Overview
Compare main population characteristics in Seneca, MO vs Franklin, IN.
| Data | Seneca | Franklin |
|---|---|---|
| Population | 2,284 | 25,728 |
| Median Age | 35.3 years | 34.4 years |
| Median Income | $42,279 | $72,344 |
| Married Families | 37.0% | 38.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 3.1 | 4.1 |
Population Comparison: Seneca vs Franklin
- The population in Franklin is higher at 25,728, compared to 2,284 in Seneca.
- Residents in Seneca have a higher median age of 35.3 years compared to 34.4 years in Franklin.
- Franklin has a higher median income of $72,344, compared to $42,279 in Seneca.
- In Franklin, the percentage of married families is higher at 38.0%, compared to 37.0% in Seneca.
- The poverty level is higher in Franklin at 9%, compared to 0% in Seneca.
- Franklin has a higher unemployment rate at 4.1% compared to 3.1% in Seneca.
Demographics
Demographics Seneca vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Seneca | Franklin |
|---|---|---|
| Black | Data is updating | 4 |
| White | 87 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 3 |
| Two or More Races | 7 | 5 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Seneca vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 0% in Seneca.
- The percentage of White residents is the same in both Seneca and Franklin at 87%.
- In Franklin, the Asian population stands at 1%, greater than 0% in Seneca.
- The percentage of Hispanic residents is the same in both Seneca and Franklin at 3%.
- More residents identify as two or more races in Seneca at 7% compared to 5% in Franklin.
- A greater percentage of American Indian residents live in Seneca at 3% compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Seneca | Franklin |
|---|---|---|
| Mental Health Not Good | 19.3% | 17.7% |
| Physical Health Not Good | 14.1% | 11.4% |
| Depression | 27.1% | 28.9% |
| Smoking | 24.5% | 19.2% |
| Binge Drinking | 16.7% | 16.9% |
| Obesity | 42.3% | 41.6% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Seneca vs Franklin
- More residents in Seneca report poor mental health at 19.3% compared to 17.7% in Franklin.
- Higher depression rates are seen in Franklin at 28.9% versus 27.1% in Seneca.
- Smoking is more prevalent in Seneca at 24.5% compared to 19.2% in Franklin.
- More residents engage in binge drinking in Franklin at 16.9% compared to 16.7% in Seneca.
- Obesity rates are higher in Seneca at 42.3% compared to 41.6% in Franklin.
- Disability percentages are higher in Seneca at 20.0% compared to 12.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Seneca | Franklin |
|---|---|---|
| No Schooling | 0.1% (3) | 0.6% (148) |
| High School Diploma | 18.0% (411) | 19.1% (4,910) |
| Less than High School | 14.9% (340) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 7.4% (170) | 13.4% (3,460) |
Education Levels Comparison: Seneca vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 0.6% compared to 0.1% in Seneca.
- In Franklin, the rate of residents with high school diplomas is higher at 19.1% compared to 18.0% in Seneca.
- More residents in Seneca have less than a high school education at 14.9% compared to 8.9% in Franklin.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 13.4% compared to 7.4% in Seneca.
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.