Demographics details for Mount juliet, TN vs Toccoa, GA
Population Overview
Compare main population characteristics in Mount juliet, TN vs Toccoa, GA.
Data | Mount juliet | Toccoa |
---|---|---|
Population | 42,548 | 9,146 |
Median Age | 39.2 years | 42.3 years |
Median Income | $108,066 | $49,860 |
Married Families | 45.0% | 31.0% |
Poverty Level | 5% | 17% |
Unemployment Rate | 2.8 | 4.0 |
Population Comparison: Mount juliet vs Toccoa
- In Mount juliet, the population is higher at 42,548, compared to 9,146 in Toccoa.
- The median age in Toccoa is higher at 42.3 years, compared to 39.2 years in Mount juliet.
- Mount juliet has a higher median income of $108,066 compared to $49,860 in Toccoa.
- A higher percentage of married families is found in Mount juliet at 45.0% compared to 31.0% in Toccoa.
- The poverty level is higher in Toccoa at 17%, compared to 5% in Mount juliet.
- Toccoa has a higher unemployment rate at 4.0% compared to 2.8% in Mount juliet.
Demographics
Demographics Mount juliet vs Toccoa provide insight into the diversity of the communities to compare.
Demographic | Mount juliet | Toccoa |
---|---|---|
Black | 7 | 19 |
White | 79 | 74 |
Asian | 4 | 2 |
Hispanic | 6 | 1 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount juliet vs Toccoa
- In Toccoa, the percentage of Black residents is higher at 19% compared to 7% in Mount juliet.
- Mount juliet has a higher percentage of White residents at 79% compared to 74% in Toccoa.
- The Asian population is larger in Mount juliet at 4% compared to 2% in Toccoa.
- The Hispanic community is larger in Mount juliet at 6% compared to 1% in Toccoa.
- Both Mount juliet and Toccoa 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 Mount juliet and Toccoa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount juliet | Toccoa |
---|---|---|
Mental Health Not Good | 16.0% | 18.3% |
Physical Health Not Good | 10.0% | 13.3% |
Depression | 25.7% | 22.6% |
Smoking | 15.2% | 19.9% |
Binge Drinking | 16.8% | 15.5% |
Obesity | 29.9% | 34.9% |
Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Mount juliet vs Toccoa
- In Toccoa, a higher percentage report poor mental health at 18.3% compared to 16.0% in Mount juliet.
- Depression is more prevalent in Mount juliet at 25.7% compared to 22.6% in Toccoa.
- Toccoa has a higher smoking rate at 19.9% compared to 15.2% in Mount juliet.
- Binge drinking is more common in Mount juliet at 16.8% compared to 15.5% in Toccoa.
- Toccoa has higher obesity rates at 34.9% compared to 29.9% in Mount juliet.
- There is a higher percentage of disabled individuals in Toccoa at 16.0% 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 | Toccoa |
---|---|---|
No Schooling | 0.4% (173) | 2.7% (244) |
High School Diploma | 10.4% (4,408) | 25.0% (2,284) |
Less than High School | 3.9% (1,653) | 20.6% (1,887) |
Bachelor's Degree and Higher | 29.4% (12,510) | 11.9% (1,090) |
Education Levels Comparison: Mount juliet vs Toccoa
- In Toccoa, a larger percentage of residents lack formal schooling at 2.7% compared to 0.4% in Mount juliet.
- In Toccoa, the rate of residents with high school diplomas is higher at 25.0% compared to 10.4% in Mount juliet.
- The percentage of residents with less than a high school education is higher in Toccoa at 20.6%, 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 11.9% in Toccoa.
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.