Demographics details for Bloomington, CA vs Mount juliet, TN
Population Overview
Compare main population characteristics in Bloomington, CA vs Mount juliet, TN.
Data | Bloomington | Mount juliet |
---|---|---|
Population | 23,051 | 42,548 |
Median Age | 32.5 years | 39.2 years |
Median Income | $74,414 | $108,066 |
Married Families | 37.0% | 45.0% |
Poverty Level | 15% | 5% |
Unemployment Rate | 7.5 | 2.8 |
Population Comparison: Bloomington vs Mount juliet
- The population in Mount juliet is higher at 42,548, compared to 23,051 in Bloomington.
- The median age in Mount juliet is higher at 39.2 years, compared to 32.5 years in Bloomington.
- Mount juliet has a higher median income of $108,066, compared to $74,414 in Bloomington.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 37.0% in Bloomington.
- Bloomington has a higher poverty level at 15% compared to 5% in Mount juliet.
- The unemployment rate in Bloomington is higher at 7.5%, compared to 2.8% in Mount juliet.
Demographics
Demographics Bloomington vs Mount juliet provide insight into the diversity of the communities to compare.
Demographic | Bloomington | Mount juliet |
---|---|---|
Black | 1 | 7 |
White | -9 | 79 |
Asian | 1 | 4 |
Hispanic | 88 | 6 |
Two or More Races | 18 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Bloomington vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 1% in Bloomington.
- The percentage of White residents is higher in Mount juliet at 79% compared to -9% in Bloomington.
- In Mount juliet, the Asian population stands at 4%, greater than 1% in Bloomington.
- The Hispanic community is larger in Bloomington at 88% compared to 6% in Mount juliet.
- More residents identify as two or more races in Bloomington at 18% compared to 4% in Mount juliet.
- A greater percentage of American Indian residents live in Bloomington at 1% compared to 0% in Mount juliet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bloomington | Mount juliet |
---|---|---|
Mental Health Not Good | 17.4% | 16.0% |
Physical Health Not Good | 14.7% | 10.0% |
Depression | 18.2% | 25.7% |
Smoking | 14.4% | 15.2% |
Binge Drinking | 14.9% | 16.8% |
Obesity | 41.1% | 29.9% |
Disability Percentage | 10.0% | 7.0% |
Health Statistics Comparison: Bloomington vs Mount juliet
- More residents in Bloomington report poor mental health at 17.4% compared to 16.0% in Mount juliet.
- Higher depression rates are seen in Mount juliet at 25.7% versus 18.2% in Bloomington.
- Mount juliet has a higher smoking rate at 15.2% compared to 14.4% in Bloomington.
- More residents engage in binge drinking in Mount juliet at 16.8% compared to 14.9% in Bloomington.
- Obesity rates are higher in Bloomington at 41.1% compared to 29.9% in Mount juliet.
- Disability percentages are higher in Bloomington 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 | Bloomington | Mount juliet |
---|---|---|
No Schooling | 3.9% (906) | 0.4% (173) |
High School Diploma | 15.7% (3,618) | 10.4% (4,408) |
Less than High School | 48.5% (11,184) | 3.9% (1,653) |
Bachelor's Degree and Higher | 5.9% (1,351) | 29.4% (12,510) |
Education Levels Comparison: Bloomington vs Mount juliet
- A higher percentage of residents in Bloomington have no formal schooling at 3.9% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Bloomington hold a high school diploma at 15.7% compared to 10.4% in Mount juliet.
- More residents in Bloomington have less than a high school education at 48.5% 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 5.9% in Bloomington.
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.