Demographics details for Mount juliet, TN vs Franklin, NE
Population Overview
Compare main population characteristics in Mount juliet, TN vs Franklin, NE.
| Data | Mount juliet | Franklin |
|---|---|---|
| Population | 42,548 | 2,873 |
| Median Age | 39.2 years | 49.8 years |
| Median Income | $108,066 | $55,625 |
| Married Families | 45.0% | 51.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 2.8 | 3.2 |
Population Comparison: Mount juliet vs Franklin
- In Mount juliet, the population is higher at 42,548, compared to 2,873 in Franklin.
- The median age in Franklin is higher at 49.8 years, compared to 39.2 years in Mount juliet.
- Mount juliet has a higher median income of $108,066 compared to $55,625 in Franklin.
- In Franklin, the percentage of married families is higher at 51.0%, compared to 45.0% in Mount juliet.
- Mount juliet has a higher poverty level at 5% compared to 0% in Franklin.
- Franklin has a higher unemployment rate at 3.2% compared to 2.8% in Mount juliet.
Demographics
Demographics Mount juliet vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Mount juliet | Franklin |
|---|---|---|
| Black | 7 | Data is updating |
| White | 79 | 94 |
| Asian | 4 | Data is updating |
| Hispanic | 6 | 3 |
| Two or More Races | 4 | 2 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount juliet vs Franklin
- A higher percentage of Black residents are in Mount juliet at 7% compared to 0% in Franklin.
- The percentage of White residents is higher in Franklin at 94% compared to 79% in Mount juliet.
- The Asian population is larger in Mount juliet at 4% compared to 0% in Franklin.
- The Hispanic community is larger in Mount juliet at 6% compared to 3% in Franklin.
- More residents identify as two or more races in Mount juliet at 4% compared to 2% in Franklin.
- In Franklin, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount juliet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount juliet | Franklin |
|---|---|---|
| Mental Health Not Good | 16.0% | 15.4% |
| Physical Health Not Good | 10.0% | 10.8% |
| Depression | 25.7% | 18.5% |
| Smoking | 15.2% | 19.6% |
| Binge Drinking | 16.8% | 20.2% |
| Obesity | 29.9% | 43.8% |
| Disability Percentage | 7.0% | 18.0% |
Health Statistics Comparison: Mount juliet vs Franklin
- More residents in Mount juliet report poor mental health at 16.0% compared to 15.4% in Franklin.
- Depression is more prevalent in Mount juliet at 25.7% compared to 18.5% in Franklin.
- Franklin has a higher smoking rate at 19.6% compared to 15.2% in Mount juliet.
- More residents engage in binge drinking in Franklin at 20.2% compared to 16.8% in Mount juliet.
- Franklin has higher obesity rates at 43.8% compared to 29.9% in Mount juliet.
- There is a higher percentage of disabled individuals in Franklin at 18.0% compared to 7.0% in Mount juliet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount juliet | Franklin |
|---|---|---|
| No Schooling | 0.4% (173) | 0.2% (6) |
| High School Diploma | 10.4% (4,408) | 21.8% (627) |
| Less than High School | 3.9% (1,653) | 10.1% (289) |
| Bachelor's Degree and Higher | 29.4% (12,510) | 14.5% (416) |
Education Levels Comparison: Mount juliet vs Franklin
- A higher percentage of residents in Mount juliet have no formal schooling at 0.4% compared to 0.2% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 21.8% compared to 10.4% in Mount juliet.
- The percentage of residents with less than a high school education is higher in Franklin at 10.1%, compared to 3.9% in Mount juliet.
- A higher percentage of residents in Mount juliet hold a bachelor's degree or higher at 29.4% compared to 14.5% 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.