Demographics details for Dearborn, MI vs Mount juliet, TN
Population Overview
Compare main population characteristics in Dearborn, MI vs Mount juliet, TN.
Data | Dearborn | Mount juliet |
---|---|---|
Population | 107,710 | 42,548 |
Median Age | 32.3 years | 39.2 years |
Median Income | $64,600 | $108,066 |
Married Families | 38.0% | 45.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 4.1 | 2.8 |
Population Comparison: Dearborn vs Mount juliet
- In Dearborn, the population is higher at 107,710, compared to 42,548 in Mount juliet.
- The median age in Mount juliet is higher at 39.2 years, compared to 32.3 years in Dearborn.
- Mount juliet has a higher median income of $108,066, compared to $64,600 in Dearborn.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 38.0% in Dearborn.
- Dearborn has a higher poverty level at 12% compared to 5% in Mount juliet.
- The unemployment rate in Dearborn is higher at 4.1%, compared to 2.8% in Mount juliet.
Demographics
Demographics Dearborn vs Mount juliet provide insight into the diversity of the communities to compare.
Demographic | Dearborn | Mount juliet |
---|---|---|
Black | 3 | 7 |
White | 86 | 79 |
Asian | 3 | 4 |
Hispanic | 3 | 6 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Dearborn vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 3% in Dearborn.
- Dearborn has a higher percentage of White residents at 86% compared to 79% in Mount juliet.
- In Mount juliet, the Asian population stands at 4%, greater than 3% in Dearborn.
- Mount juliet has a higher percentage of Hispanic residents at 6%, compared to 3% in Dearborn.
- More residents identify as two or more races in Dearborn at 5% compared to 4% in Mount juliet.
- The percentage of American Indian residents is the same in both Dearborn and Mount juliet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dearborn | Mount juliet |
---|---|---|
Mental Health Not Good | 19.4% | 16.0% |
Physical Health Not Good | 13.7% | 10.0% |
Depression | 26.6% | 25.7% |
Smoking | 24.6% | 15.2% |
Binge Drinking | 17.6% | 16.8% |
Obesity | 34.2% | 29.9% |
Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Dearborn vs Mount juliet
- More residents in Dearborn report poor mental health at 19.4% compared to 16.0% in Mount juliet.
- Depression is more prevalent in Dearborn at 26.6% compared to 25.7% in Mount juliet.
- Smoking is more prevalent in Dearborn at 24.6% compared to 15.2% in Mount juliet.
- Binge drinking is more common in Dearborn at 17.6% compared to 16.8% in Mount juliet.
- Obesity rates are higher in Dearborn at 34.2% compared to 29.9% in Mount juliet.
- Disability percentages are higher in Dearborn at 11.0% 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 | Dearborn | Mount juliet |
---|---|---|
No Schooling | 2.8% (3,058) | 0.4% (173) |
High School Diploma | 12.3% (13,249) | 10.4% (4,408) |
Less than High School | 17.5% (18,849) | 3.9% (1,653) |
Bachelor's Degree and Higher | 21.3% (22,938) | 29.4% (12,510) |
Education Levels Comparison: Dearborn vs Mount juliet
- A higher percentage of residents in Dearborn have no formal schooling at 2.8% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Dearborn hold a high school diploma at 12.3% compared to 10.4% in Mount juliet.
- More residents in Dearborn have less than a high school education at 17.5% 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 21.3% in Dearborn.
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.