Demographics details for Mount juliet, TN vs Dike, TX
Population Overview
Compare main population characteristics in Mount juliet, TN vs Dike, TX.
| Data | Mount juliet | Dike |
|---|---|---|
| Population | 42,548 | 103 |
| Median Age | 39.2 years | 44.0 years |
| Median Income | $108,066 | $50,000 |
| Married Families | 45.0% | 20.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 2.8 | 4.0 |
Population Comparison: Mount juliet vs Dike
- In Mount juliet, the population is higher at 42,548, compared to 103 in Dike.
- The median age in Dike is higher at 44.0 years, compared to 39.2 years in Mount juliet.
- Mount juliet has a higher median income of $108,066 compared to $50,000 in Dike.
- A higher percentage of married families is found in Mount juliet at 45.0% compared to 20.0% in Dike.
- The poverty level is higher in Dike at 15%, compared to 5% in Mount juliet.
- Dike has a higher unemployment rate at 4.0% compared to 2.8% in Mount juliet.
Demographics
Demographics Mount juliet vs Dike provide insight into the diversity of the communities to compare.
| Demographic | Mount juliet | Dike |
|---|---|---|
| Black | 7 | Data is updating |
| White | 79 | 100 |
| Asian | 4 | Data is updating |
| Hispanic | 6 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount juliet vs Dike
- A higher percentage of Black residents are in Mount juliet at 7% compared to 0% in Dike.
- The percentage of White residents is higher in Dike at 100% compared to 79% in Mount juliet.
- The Asian population is larger in Mount juliet at 4% compared to 0% in Dike.
- The Hispanic community is larger in Mount juliet at 6% compared to 0% in Dike.
- More residents identify as two or more races in Mount juliet at 4% compared to 0% in Dike.
- The percentage of American Indian residents is the same in both Mount juliet and Dike at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount juliet | Dike |
|---|---|---|
| Mental Health Not Good | 16.0% | Data is updating% |
| Physical Health Not Good | 10.0% | Data is updating% |
| Depression | 25.7% | Data is updating% |
| Smoking | 15.2% | Data is updating% |
| Binge Drinking | 16.8% | Data is updating% |
| Obesity | 29.9% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Mount juliet vs Dike
- More residents in Mount juliet report poor mental health at 16.0% compared to 0.0% in Dike.
- Depression is more prevalent in Mount juliet at 25.7% compared to 0.0% in Dike.
- Smoking is more prevalent in Mount juliet at 15.2% compared to 0.0% in Dike.
- Binge drinking is more common in Mount juliet at 16.8% compared to 0.0% in Dike.
- Obesity rates are higher in Mount juliet at 29.9% compared to 0.0% in Dike.
- Disability percentages are higher in Mount juliet at 7.0% compared to 0.0% in Dike.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount juliet | Dike |
|---|---|---|
| No Schooling | 0.4% (173) | 0.0% (Data is updating) |
| High School Diploma | 10.4% (4,408) | 0.0% (Data is updating) |
| Less than High School | 3.9% (1,653) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 29.4% (12,510) | 0.0% (Data is updating) |
Education Levels Comparison: Mount juliet vs Dike
- A higher percentage of residents in Mount juliet have no formal schooling at 0.4% compared to 0.0% in Dike.
- A higher percentage of residents in Mount juliet hold a high school diploma at 10.4% compared to 0.0% in Dike.
- More residents in Mount juliet have less than a high school education at 3.9% compared to 0.0% in Dike.
- A higher percentage of residents in Mount juliet hold a bachelor's degree or higher at 29.4% compared to 0.0% in Dike.
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.