Demographics details for Jupiter, FL vs Mount juliet, TN
Population Overview
Compare main population characteristics in Jupiter, FL vs Mount juliet, TN.
Data | Jupiter | Mount juliet |
---|---|---|
Population | 61,126 | 42,548 |
Median Age | 47.1 years | 39.2 years |
Median Income | $105,413 | $108,066 |
Married Families | 45.0% | 45.0% |
Poverty Level | 9% | 5% |
Unemployment Rate | 2.9 | 2.8 |
Population Comparison: Jupiter vs Mount juliet
- In Jupiter, the population is higher at 61,126, compared to 42,548 in Mount juliet.
- Residents in Jupiter have a higher median age of 47.1 years compared to 39.2 years in Mount juliet.
- Mount juliet has a higher median income of $108,066, compared to $105,413 in Jupiter.
- The percentage of married families is the same in both Jupiter and Mount juliet at 45.0%.
- Jupiter has a higher poverty level at 9% compared to 5% in Mount juliet.
- The unemployment rate in Jupiter is higher at 2.9%, compared to 2.8% in Mount juliet.
Demographics
Demographics Jupiter vs Mount juliet provide insight into the diversity of the communities to compare.
Demographic | Jupiter | Mount juliet |
---|---|---|
Black | 1 | 7 |
White | 69 | 79 |
Asian | 2 | 4 |
Hispanic | 16 | 6 |
Two or More Races | 11 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Jupiter vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 1% in Jupiter.
- The percentage of White residents is higher in Mount juliet at 79% compared to 69% in Jupiter.
- In Mount juliet, the Asian population stands at 4%, greater than 2% in Jupiter.
- The Hispanic community is larger in Jupiter at 16% compared to 6% in Mount juliet.
- More residents identify as two or more races in Jupiter at 11% compared to 4% in Mount juliet.
- A greater percentage of American Indian residents live in Jupiter at 1% compared to 0% in Mount juliet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Jupiter | Mount juliet |
---|---|---|
Mental Health Not Good | 14.1% | 16.0% |
Physical Health Not Good | 8.6% | 10.0% |
Depression | 17.9% | 25.7% |
Smoking | 14.4% | 15.2% |
Binge Drinking | 17.7% | 16.8% |
Obesity | 23.3% | 29.9% |
Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Jupiter vs Mount juliet
- In Mount juliet, a higher percentage report poor mental health at 16.0% compared to 14.1% in Jupiter.
- Higher depression rates are seen in Mount juliet at 25.7% versus 17.9% in Jupiter.
- Mount juliet has a higher smoking rate at 15.2% compared to 14.4% in Jupiter.
- Binge drinking is more common in Jupiter at 17.7% compared to 16.8% in Mount juliet.
- Mount juliet has higher obesity rates at 29.9% compared to 23.3% in Jupiter.
- Disability percentages are higher in Jupiter 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 | Jupiter | Mount juliet |
---|---|---|
No Schooling | 1.2% (721) | 0.4% (173) |
High School Diploma | 10.8% (6,624) | 10.4% (4,408) |
Less than High School | 9.1% (5,552) | 3.9% (1,653) |
Bachelor's Degree and Higher | 36.5% (22,312) | 29.4% (12,510) |
Education Levels Comparison: Jupiter vs Mount juliet
- A higher percentage of residents in Jupiter have no formal schooling at 1.2% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Jupiter hold a high school diploma at 10.8% compared to 10.4% in Mount juliet.
- More residents in Jupiter have less than a high school education at 9.1% compared to 3.9% in Mount juliet.
- A higher percentage of residents in Jupiter hold a bachelor's degree or higher at 36.5% 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.