Demographics details for Oceanside, CA vs Mount juliet, TN
Population Overview
Compare main population characteristics in Oceanside, CA vs Mount juliet, TN.
| Data | Oceanside | Mount juliet |
|---|---|---|
| Population | 172,199 | 42,548 |
| Median Age | 37.5 years | 39.2 years |
| Median Income | $86,701 | $108,066 |
| Married Families | 41.0% | 45.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 4.6 | 2.8 |
Population Comparison: Oceanside vs Mount juliet
- In Oceanside, the population is higher at 172,199, compared to 42,548 in Mount juliet.
- The median age in Mount juliet is higher at 39.2 years, compared to 37.5 years in Oceanside.
- Mount juliet has a higher median income of $108,066, compared to $86,701 in Oceanside.
- In Mount juliet, the percentage of married families is higher at 45.0%, compared to 41.0% in Oceanside.
- Oceanside has a higher poverty level at 9% compared to 5% in Mount juliet.
- The unemployment rate in Oceanside is higher at 4.6%, compared to 2.8% in Mount juliet.
Demographics
Demographics Oceanside vs Mount juliet provide insight into the diversity of the communities to compare.
| Demographic | Oceanside | Mount juliet |
|---|---|---|
| Black | 4 | 7 |
| White | 31 | 79 |
| Asian | 7 | 4 |
| Hispanic | 38 | 6 |
| Two or More Races | 19 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Oceanside vs Mount juliet
- In Mount juliet, the percentage of Black residents is higher at 7% compared to 4% in Oceanside.
- The percentage of White residents is higher in Mount juliet at 79% compared to 31% in Oceanside.
- The Asian population is larger in Oceanside at 7% compared to 4% in Mount juliet.
- The Hispanic community is larger in Oceanside at 38% compared to 6% in Mount juliet.
- More residents identify as two or more races in Oceanside at 19% compared to 4% in Mount juliet.
- A greater percentage of American Indian residents live in Oceanside at 1% compared to 0% in Mount juliet.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oceanside | Mount juliet |
|---|---|---|
| Mental Health Not Good | 16.2% | 16.0% |
| Physical Health Not Good | 10.9% | 10.0% |
| Depression | 17.9% | 25.7% |
| Smoking | 11.7% | 15.2% |
| Binge Drinking | 18.9% | 16.8% |
| Obesity | 25.0% | 29.9% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Oceanside vs Mount juliet
- More residents in Oceanside report poor mental health at 16.2% compared to 16.0% in Mount juliet.
- Higher depression rates are seen in Mount juliet at 25.7% versus 17.9% in Oceanside.
- Mount juliet has a higher smoking rate at 15.2% compared to 11.7% in Oceanside.
- Binge drinking is more common in Oceanside at 18.9% compared to 16.8% in Mount juliet.
- Mount juliet has higher obesity rates at 29.9% compared to 25.0% in Oceanside.
- Disability percentages are higher in Oceanside at 12.0% 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 | Oceanside | Mount juliet |
|---|---|---|
| No Schooling | 1.7% (2,927) | 0.4% (173) |
| High School Diploma | 12.0% (20,662) | 10.4% (4,408) |
| Less than High School | 17.7% (30,528) | 3.9% (1,653) |
| Bachelor's Degree and Higher | 23.5% (40,490) | 29.4% (12,510) |
Education Levels Comparison: Oceanside vs Mount juliet
- A higher percentage of residents in Oceanside have no formal schooling at 1.7% compared to 0.4% in Mount juliet.
- A higher percentage of residents in Oceanside hold a high school diploma at 12.0% compared to 10.4% in Mount juliet.
- More residents in Oceanside have less than a high school education at 17.7% 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 23.5% in Oceanside.
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.