Demographics details for Mount juliet, TN vs Wilkinson, IN
Population Overview
Compare main population characteristics in Mount juliet, TN vs Wilkinson, IN.
Data | Mount juliet | Wilkinson |
---|---|---|
Population | 42,548 | 408 |
Median Age | 39.2 years | 33.5 years |
Median Income | $108,066 | $61,146 |
Married Families | 45.0% | 36.0% |
Poverty Level | 5% | 7% |
Unemployment Rate | 2.8 | 3.5 |
Population Comparison: Mount juliet vs Wilkinson
- In Mount juliet, the population is higher at 42,548, compared to 408 in Wilkinson.
- Residents in Mount juliet have a higher median age of 39.2 years compared to 33.5 years in Wilkinson.
- Mount juliet has a higher median income of $108,066 compared to $61,146 in Wilkinson.
- A higher percentage of married families is found in Mount juliet at 45.0% compared to 36.0% in Wilkinson.
- The poverty level is higher in Wilkinson at 7%, compared to 5% in Mount juliet.
- Wilkinson has a higher unemployment rate at 3.5% compared to 2.8% in Mount juliet.
Demographics
Demographics Mount juliet vs Wilkinson provide insight into the diversity of the communities to compare.
Demographic | Mount juliet | Wilkinson |
---|---|---|
Black | 7 | Data is updating |
White | 79 | 96 |
Asian | 4 | Data is updating |
Hispanic | 6 | 1 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount juliet vs Wilkinson
- A higher percentage of Black residents are in Mount juliet at 7% compared to 0% in Wilkinson.
- The percentage of White residents is higher in Wilkinson at 96% compared to 79% in Mount juliet.
- The Asian population is larger in Mount juliet at 4% compared to 0% in Wilkinson.
- The Hispanic community is larger in Mount juliet at 6% compared to 1% in Wilkinson.
- More residents identify as two or more races in Mount juliet at 4% compared to 3% in Wilkinson.
- The percentage of American Indian residents is the same in both Mount juliet and Wilkinson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount juliet | Wilkinson |
---|---|---|
Mental Health Not Good | 16.0% | 16.8% |
Physical Health Not Good | 10.0% | 11.4% |
Depression | 25.7% | 26.6% |
Smoking | 15.2% | 19.0% |
Binge Drinking | 16.8% | 16.8% |
Obesity | 29.9% | 34.1% |
Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Mount juliet vs Wilkinson
- In Wilkinson, a higher percentage report poor mental health at 16.8% compared to 16.0% in Mount juliet.
- Higher depression rates are seen in Wilkinson at 26.6% versus 25.7% in Mount juliet.
- Wilkinson has a higher smoking rate at 19.0% compared to 15.2% in Mount juliet.
- Binge drinking rates are similar in both Mount juliet and Wilkinson at 16.8%.
- Wilkinson has higher obesity rates at 34.1% compared to 29.9% in Mount juliet.
- There is a higher percentage of disabled individuals in Wilkinson at 10.0% 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 | Wilkinson |
---|---|---|
No Schooling | 0.4% (173) | 0.0% (Data is updating) |
High School Diploma | 10.4% (4,408) | 30.4% (124) |
Less than High School | 3.9% (1,653) | 8.8% (36) |
Bachelor's Degree and Higher | 29.4% (12,510) | 8.8% (36) |
Education Levels Comparison: Mount juliet vs Wilkinson
- A higher percentage of residents in Mount juliet have no formal schooling at 0.4% compared to 0.0% in Wilkinson.
- In Wilkinson, the rate of residents with high school diplomas is higher at 30.4% compared to 10.4% in Mount juliet.
- The percentage of residents with less than a high school education is higher in Wilkinson at 8.8%, 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 8.8% in Wilkinson.
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.