Demographics details for Senecaville, OH vs Mount juliet, TN
Population Overview
Compare main population characteristics in Senecaville, OH vs Mount juliet, TN.
Data | Senecaville | Mount juliet |
---|---|---|
Population | 415 | 42,548 |
Median Age | 36.4 years | 39.2 years |
Median Income | $48,036 | $108,066 |
Married Families | 43.0% | 45.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 4.5 | 2.8 |
Population Comparison: Senecaville vs Mount juliet
- The population in Mount juliet is higher at 42,548, compared to 415 in Senecaville.
- The median age in Mount juliet is higher at 39.2 years, compared to 36.4 years in Senecaville.
- Mount juliet has a higher median income of $108,066, compared to $48,036 in Senecaville.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 43.0% in Senecaville.
- Senecaville has a higher poverty level at 10% compared to 5% in Mount juliet.
- The unemployment rate in Senecaville is higher at 4.5%, compared to 2.8% in Mount juliet.
Demographics
Demographics Senecaville vs Mount juliet provide insight into the diversity of the communities to compare.
Demographic | Senecaville | Mount juliet |
---|---|---|
Black | 3 | 7 |
White | 89 | 79 |
Asian | Data is updating | 4 |
Hispanic | 1 | 6 |
Two or More Races | 7 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Senecaville vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 3% in Senecaville.
- Senecaville has a higher percentage of White residents at 89% compared to 79% in Mount juliet.
- In Mount juliet, the Asian population stands at 4%, greater than 0% in Senecaville.
- Mount juliet has a higher percentage of Hispanic residents at 6%, compared to 1% in Senecaville.
- More residents identify as two or more races in Senecaville at 7% compared to 4% in Mount juliet.
- The percentage of American Indian residents is the same in both Senecaville and Mount juliet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Senecaville | Mount juliet |
---|---|---|
Mental Health Not Good | 18.4% | 16.0% |
Physical Health Not Good | 13.1% | 10.0% |
Depression | 24.5% | 25.7% |
Smoking | 22.6% | 15.2% |
Binge Drinking | 18.7% | 16.8% |
Obesity | 42.9% | 29.9% |
Disability Percentage | 26.0% | 7.0% |
Health Statistics Comparison: Senecaville vs Mount juliet
- More residents in Senecaville report poor mental health at 18.4% compared to 16.0% in Mount juliet.
- Higher depression rates are seen in Mount juliet at 25.7% versus 24.5% in Senecaville.
- Smoking is more prevalent in Senecaville at 22.6% compared to 15.2% in Mount juliet.
- Binge drinking is more common in Senecaville at 18.7% compared to 16.8% in Mount juliet.
- Obesity rates are higher in Senecaville at 42.9% compared to 29.9% in Mount juliet.
- Disability percentages are higher in Senecaville at 26.0% 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 | Senecaville | Mount juliet |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (173) |
High School Diploma | 31.3% (130) | 10.4% (4,408) |
Less than High School | 19.3% (80) | 3.9% (1,653) |
Bachelor's Degree and Higher | 5.3% (22) | 29.4% (12,510) |
Education Levels Comparison: Senecaville vs Mount juliet
- In Mount juliet, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Senecaville.
- A higher percentage of residents in Senecaville hold a high school diploma at 31.3% compared to 10.4% in Mount juliet.
- More residents in Senecaville 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 5.3% in Senecaville.
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.