Demographics details for Miller place, NY vs Mount juliet, TN
Population Overview
Compare main population characteristics in Miller place, NY vs Mount juliet, TN.
Data | Miller place | Mount juliet |
---|---|---|
Population | 11,848 | 42,548 |
Median Age | 42.5 years | 39.2 years |
Median Income | $136,203 | $108,066 |
Married Families | 48.0% | 45.0% |
Poverty Level | 3% | 5% |
Unemployment Rate | 4.1 | 2.8 |
Population Comparison: Miller place vs Mount juliet
- The population in Mount juliet is higher at 42,548, compared to 11,848 in Miller place.
- Residents in Miller place have a higher median age of 42.5 years compared to 39.2 years in Mount juliet.
- Miller place has a higher median income of $136,203 compared to $108,066 in Mount juliet.
- A higher percentage of married families is found in Miller place at 48.0% compared to 45.0% in Mount juliet.
- The poverty level is higher in Mount juliet at 5%, compared to 3% in Miller place.
- The unemployment rate in Miller place is higher at 4.1%, compared to 2.8% in Mount juliet.
Demographics
Demographics Miller place vs Mount juliet provide insight into the diversity of the communities to compare.
Demographic | Miller place | Mount juliet |
---|---|---|
Black | 1 | 7 |
White | 77 | 79 |
Asian | 3 | 4 |
Hispanic | 12 | 6 |
Two or More Races | 7 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Miller place vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 1% in Miller place.
- The percentage of White residents is higher in Mount juliet at 79% compared to 77% in Miller place.
- In Mount juliet, the Asian population stands at 4%, greater than 3% in Miller place.
- The Hispanic community is larger in Miller place at 12% compared to 6% in Mount juliet.
- More residents identify as two or more races in Miller place at 7% compared to 4% in Mount juliet.
- The percentage of American Indian residents is the same in both Miller place and Mount juliet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Miller place | Mount juliet |
---|---|---|
Mental Health Not Good | 13.3% | 16.0% |
Physical Health Not Good | 7.3% | 10.0% |
Depression | 19.6% | 25.7% |
Smoking | 10.5% | 15.2% |
Binge Drinking | 17.9% | 16.8% |
Obesity | 26.8% | 29.9% |
Disability Percentage | 9.0% | 7.0% |
Health Statistics Comparison: Miller place vs Mount juliet
- In Mount juliet, a higher percentage report poor mental health at 16.0% compared to 13.3% in Miller place.
- Higher depression rates are seen in Mount juliet at 25.7% versus 19.6% in Miller place.
- Mount juliet has a higher smoking rate at 15.2% compared to 10.5% in Miller place.
- Binge drinking is more common in Miller place at 17.9% compared to 16.8% in Mount juliet.
- Mount juliet has higher obesity rates at 29.9% compared to 26.8% in Miller place.
- Disability percentages are higher in Miller place at 9.0% 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 | Miller place | Mount juliet |
---|---|---|
No Schooling | 1.7% (201) | 0.4% (173) |
High School Diploma | 13.9% (1,647) | 10.4% (4,408) |
Less than High School | 7.0% (835) | 3.9% (1,653) |
Bachelor's Degree and Higher | 30.8% (3,649) | 29.4% (12,510) |
Education Levels Comparison: Miller place vs Mount juliet
- A higher percentage of residents in Miller place have no formal schooling at 1.7% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Miller place hold a high school diploma at 13.9% compared to 10.4% in Mount juliet.
- More residents in Miller place have less than a high school education at 7.0% compared to 3.9% in Mount juliet.
- A higher percentage of residents in Miller place hold a bachelor's degree or higher at 30.8% compared to 29.4% in Mount juliet.
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.