Demographics details for Baldwin park, CA vs Mount juliet, TN
Population Overview
Compare main population characteristics in Baldwin park, CA vs Mount juliet, TN.
Data | Baldwin park | Mount juliet |
---|---|---|
Population | 69,455 | 42,548 |
Median Age | 37.1 years | 39.2 years |
Median Income | $76,002 | $108,066 |
Married Families | 37.0% | 45.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 6.3 | 2.8 |
Population Comparison: Baldwin park vs Mount juliet
- In Baldwin park, the population is higher at 69,455, compared to 42,548 in Mount juliet.
- The median age in Mount juliet is higher at 39.2 years, compared to 37.1 years in Baldwin park.
- Mount juliet has a higher median income of $108,066, compared to $76,002 in Baldwin park.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 37.0% in Baldwin park.
- Baldwin park has a higher poverty level at 12% compared to 5% in Mount juliet.
- The unemployment rate in Baldwin park is higher at 6.3%, compared to 2.8% in Mount juliet.
Demographics
Demographics Baldwin park vs Mount juliet provide insight into the diversity of the communities to compare.
Demographic | Baldwin park | Mount juliet |
---|---|---|
Black | 1 | 7 |
White | -25 | 79 |
Asian | 23 | 4 |
Hispanic | 75 | 6 |
Two or More Races | 23 | 4 |
American Indian | 3 | Data is updating |
Demographics Comparison: Baldwin park vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 1% in Baldwin park.
- The percentage of White residents is higher in Mount juliet at 79% compared to -25% in Baldwin park.
- The Asian population is larger in Baldwin park at 23% compared to 4% in Mount juliet.
- The Hispanic community is larger in Baldwin park at 75% compared to 6% in Mount juliet.
- More residents identify as two or more races in Baldwin park at 23% compared to 4% in Mount juliet.
- A greater percentage of American Indian residents live in Baldwin park at 3% compared to 0% in Mount juliet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Baldwin park | Mount juliet |
---|---|---|
Mental Health Not Good | 15.4% | 16.0% |
Physical Health Not Good | 12.7% | 10.0% |
Depression | 14.7% | 25.7% |
Smoking | 11.4% | 15.2% |
Binge Drinking | 14.2% | 16.8% |
Obesity | 29.9% | 29.9% |
Disability Percentage | 10.0% | 7.0% |
Health Statistics Comparison: Baldwin park vs Mount juliet
- In Mount juliet, a higher percentage report poor mental health at 16.0% compared to 15.4% in Baldwin park.
- Higher depression rates are seen in Mount juliet at 25.7% versus 14.7% in Baldwin park.
- Mount juliet has a higher smoking rate at 15.2% compared to 11.4% in Baldwin park.
- More residents engage in binge drinking in Mount juliet at 16.8% compared to 14.2% in Baldwin park.
- Both cities have the same obesity rates at 29.9%.
- Disability percentages are higher in Baldwin park 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 | Baldwin park | Mount juliet |
---|---|---|
No Schooling | 5.5% (3,853) | 0.4% (173) |
High School Diploma | 18.1% (12,587) | 10.4% (4,408) |
Less than High School | 41.7% (28,939) | 3.9% (1,653) |
Bachelor's Degree and Higher | 9.8% (6,787) | 29.4% (12,510) |
Education Levels Comparison: Baldwin park vs Mount juliet
- A higher percentage of residents in Baldwin park have no formal schooling at 5.5% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Baldwin park hold a high school diploma at 18.1% compared to 10.4% in Mount juliet.
- More residents in Baldwin park have less than a high school education at 41.7% 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 9.8% in Baldwin park.
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.