Demographics details for Marlboro, NJ vs Oceanside, CA
Population Overview
Compare main population characteristics in Marlboro, NJ vs Oceanside, CA.
Data | Marlboro | Oceanside |
---|---|---|
Population | 41,480 | 172,199 |
Median Age | 43.5 years | 37.5 years |
Median Income | $170,357 | $86,701 |
Married Families | 53.0% | 41.0% |
Poverty Level | 5% | 9% |
Unemployment Rate | 3.0 | 4.6 |
Population Comparison: Marlboro vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 41,480 in Marlboro.
- Residents in Marlboro have a higher median age of 43.5 years compared to 37.5 years in Oceanside.
- Marlboro has a higher median income of $170,357 compared to $86,701 in Oceanside.
- A higher percentage of married families is found in Marlboro at 53.0% compared to 41.0% in Oceanside.
- The poverty level is higher in Oceanside at 9%, compared to 5% in Marlboro.
- Oceanside has a higher unemployment rate at 4.6% compared to 3.0% in Marlboro.
Demographics
Demographics Marlboro vs Oceanside provide insight into the diversity of the communities to compare.
Demographic | Marlboro | Oceanside |
---|---|---|
Black | 2 | 4 |
White | 67 | 31 |
Asian | 22 | 7 |
Hispanic | 5 | 38 |
Two or More Races | 4 | 19 |
American Indian | Data is updating | 1 |
Demographics Comparison: Marlboro vs Oceanside
- In Oceanside, the percentage of Black residents is higher at 4% compared to 2% in Marlboro.
- Marlboro has a higher percentage of White residents at 67% compared to 31% in Oceanside.
- The Asian population is larger in Marlboro at 22% compared to 7% in Oceanside.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 5% in Marlboro.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 4% in Marlboro.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Marlboro.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marlboro | Oceanside |
---|---|---|
Mental Health Not Good | Data is updating% | 16.2% |
Physical Health Not Good | Data is updating% | 10.9% |
Depression | Data is updating% | 17.9% |
Smoking | Data is updating% | 11.7% |
Binge Drinking | Data is updating% | 18.9% |
Obesity | Data is updating% | 25.0% |
Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Marlboro vs Oceanside
- In Oceanside, a higher percentage report poor mental health at 16.2% compared to 0.0% in Marlboro.
- Higher depression rates are seen in Oceanside at 17.9% versus 0.0% in Marlboro.
- Oceanside has a higher smoking rate at 11.7% compared to 0.0% in Marlboro.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 0.0% in Marlboro.
- Oceanside has higher obesity rates at 25.0% compared to 0.0% in Marlboro.
- There is a higher percentage of disabled individuals in Oceanside at 12.0% compared to 8.0% in Marlboro.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marlboro | Oceanside |
---|---|---|
No Schooling | 0.8% (336) | 1.7% (2,927) |
High School Diploma | 8.6% (3,576) | 12.0% (20,662) |
Less than High School | 3.2% (1,348) | 17.7% (30,528) |
Bachelor's Degree and Higher | 43.0% (17,837) | 23.5% (40,490) |
Education Levels Comparison: Marlboro vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.8% in Marlboro.
- In Oceanside, the rate of residents with high school diplomas is higher at 12.0% compared to 8.6% in Marlboro.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 3.2% in Marlboro.
- A higher percentage of residents in Marlboro hold a bachelor's degree or higher at 43.0% 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.