Demographics details for Dade city, FL vs Mount juliet, TN
Population Overview
Compare main population characteristics in Dade city, FL vs Mount juliet, TN.
Data | Dade city | Mount juliet |
---|---|---|
Population | 7,670 | 42,548 |
Median Age | 40.4 years | 39.2 years |
Median Income | $63,493 | $108,066 |
Married Families | 33.0% | 45.0% |
Poverty Level | 15% | 5% |
Unemployment Rate | 4.6 | 2.8 |
Population Comparison: Dade city vs Mount juliet
- The population in Mount juliet is higher at 42,548, compared to 7,670 in Dade city.
- Residents in Dade city have a higher median age of 40.4 years compared to 39.2 years in Mount juliet.
- Mount juliet has a higher median income of $108,066, compared to $63,493 in Dade city.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 33.0% in Dade city.
- Dade city has a higher poverty level at 15% compared to 5% in Mount juliet.
- The unemployment rate in Dade city is higher at 4.6%, compared to 2.8% in Mount juliet.
Demographics
Demographics Dade city vs Mount juliet provide insight into the diversity of the communities to compare.
Demographic | Dade city | Mount juliet |
---|---|---|
Black | 18 | 7 |
White | 59 | 79 |
Asian | Data is updating | 4 |
Hispanic | 19 | 6 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Dade city vs Mount juliet
- A higher percentage of Black residents are in Dade city at 18% compared to 7% in Mount juliet.
- The percentage of White residents is higher in Mount juliet at 79% compared to 59% in Dade city.
- In Mount juliet, the Asian population stands at 4%, greater than 0% in Dade city.
- The Hispanic community is larger in Dade city at 19% compared to 6% in Mount juliet.
- Both Dade city and Mount juliet have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Dade city and Mount juliet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dade city | Mount juliet |
---|---|---|
Mental Health Not Good | 19.3% | 16.0% |
Physical Health Not Good | 15.2% | 10.0% |
Depression | 24.2% | 25.7% |
Smoking | 28.5% | 15.2% |
Binge Drinking | 15.0% | 16.8% |
Obesity | 36.8% | 29.9% |
Disability Percentage | 21.0% | 7.0% |
Health Statistics Comparison: Dade city vs Mount juliet
- More residents in Dade city report poor mental health at 19.3% compared to 16.0% in Mount juliet.
- Higher depression rates are seen in Mount juliet at 25.7% versus 24.2% in Dade city.
- Smoking is more prevalent in Dade city at 28.5% compared to 15.2% in Mount juliet.
- More residents engage in binge drinking in Mount juliet at 16.8% compared to 15.0% in Dade city.
- Obesity rates are higher in Dade city at 36.8% compared to 29.9% in Mount juliet.
- Disability percentages are higher in Dade city at 21.0% 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 | Dade city | Mount juliet |
---|---|---|
No Schooling | 1.3% (101) | 0.4% (173) |
High School Diploma | 22.7% (1,743) | 10.4% (4,408) |
Less than High School | 19.3% (1,481) | 3.9% (1,653) |
Bachelor's Degree and Higher | 15.7% (1,203) | 29.4% (12,510) |
Education Levels Comparison: Dade city vs Mount juliet
- A higher percentage of residents in Dade city have no formal schooling at 1.3% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Dade city hold a high school diploma at 22.7% compared to 10.4% in Mount juliet.
- More residents in Dade city have less than a high school education at 19.3% compared to 3.9% in Mount juliet.
- In Mount juliet, a larger share of residents have a bachelor's degree or higher at 29.4% compared to 15.7% in Dade city.
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.