Demographics details for Ocean city, NJ vs Oxnard, CA
Population Overview
Compare main population characteristics in Ocean city, NJ vs Oxnard, CA.
| Data | Ocean city | Oxnard |
|---|---|---|
| Population | 11,303 | 200,415 |
| Median Age | 56.9 years | 33.5 years |
| Median Income | $98,576 | $90,409 |
| Married Families | 53.0% | 34.0% |
| Poverty Level | Data is updating | 11% |
| Unemployment Rate | 3.2 | 4.9 |
Population Comparison: Ocean city vs Oxnard
- The population in Oxnard is higher at 200,415, compared to 11,303 in Ocean city.
- Residents in Ocean city have a higher median age of 56.9 years compared to 33.5 years in Oxnard.
- Ocean city has a higher median income of $98,576 compared to $90,409 in Oxnard.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 34.0% in Oxnard.
- The poverty level is higher in Oxnard at 11%, compared to 0% in Ocean city.
- Oxnard has a higher unemployment rate at 4.9% compared to 3.2% in Ocean city.
Demographics
Demographics Ocean city vs Oxnard provide insight into the diversity of the communities to compare.
| Demographic | Ocean city | Oxnard |
|---|---|---|
| Black | 3 | 2 |
| White | 86 | -16 |
| Asian | Data is updating | 7 |
| Hispanic | 8 | 77 |
| Two or More Races | 3 | 27 |
| American Indian | Data is updating | 3 |
Demographics Comparison: Ocean city vs Oxnard
- A higher percentage of Black residents are in Ocean city at 3% compared to 2% in Oxnard.
- Ocean city has a higher percentage of White residents at 86% compared to -16% in Oxnard.
- In Oxnard, the Asian population stands at 7%, greater than 0% in Ocean city.
- Oxnard has a higher percentage of Hispanic residents at 77%, compared to 8% in Ocean city.
- The percentage of residents identifying as two or more races is higher in Oxnard at 27%, compared to 3% in Ocean city.
- In Oxnard, the percentage of American Indian residents is higher at 3%, compared to 0% in Ocean city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocean city | Oxnard |
|---|---|---|
| Mental Health Not Good | 14.0% | 15.8% |
| Physical Health Not Good | 8.7% | 13.1% |
| Depression | 21.8% | 17.0% |
| Smoking | 11.9% | 13.2% |
| Binge Drinking | 20.3% | 15.1% |
| Obesity | 29.8% | 30.3% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Ocean city vs Oxnard
- In Oxnard, a higher percentage report poor mental health at 15.8% compared to 14.0% in Ocean city.
- Depression is more prevalent in Ocean city at 21.8% compared to 17.0% in Oxnard.
- Oxnard has a higher smoking rate at 13.2% compared to 11.9% in Ocean city.
- Binge drinking is more common in Ocean city at 20.3% compared to 15.1% in Oxnard.
- Oxnard has higher obesity rates at 30.3% compared to 29.8% in Ocean city.
- Disability percentages are higher in Ocean city at 14.0% compared to 9.0% in Oxnard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ocean city | Oxnard |
|---|---|---|
| No Schooling | 0.4% (50) | 3.5% (7,053) |
| High School Diploma | 16.9% (1,907) | 15.0% (30,118) |
| Less than High School | 6.0% (676) | 38.1% (76,346) |
| Bachelor's Degree and Higher | 43.6% (4,926) | 12.3% (24,627) |
Education Levels Comparison: Ocean city vs Oxnard
- In Oxnard, a larger percentage of residents lack formal schooling at 3.5% compared to 0.4% in Ocean city.
- A higher percentage of residents in Ocean city hold a high school diploma at 16.9% compared to 15.0% in Oxnard.
- The percentage of residents with less than a high school education is higher in Oxnard at 38.1%, compared to 6.0% in Ocean city.
- A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 12.3% in Oxnard.
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.