Demographics details for Palm bay, FL vs Oceanside, CA
Population Overview
Compare main population characteristics in Palm bay, FL vs Oceanside, CA.
Data | Palm bay | Oceanside |
---|---|---|
Population | 129,234 | 172,199 |
Median Age | 41.8 years | 37.5 years |
Median Income | $62,538 | $86,701 |
Married Families | 37.0% | 41.0% |
Poverty Level | 10% | 9% |
Unemployment Rate | 4.0 | 4.6 |
Population Comparison: Palm bay vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 129,234 in Palm bay.
- Residents in Palm bay have a higher median age of 41.8 years compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701, compared to $62,538 in Palm bay.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 37.0% in Palm bay.
- Palm bay has a higher poverty level at 10% compared to 9% in Oceanside.
- Oceanside has a higher unemployment rate at 4.6% compared to 4.0% in Palm bay.
Demographics
Demographics Palm bay vs Oceanside provide insight into the diversity of the communities to compare.
Demographic | Palm bay | Oceanside |
---|---|---|
Black | 18 | 4 |
White | 51 | 31 |
Asian | 2 | 7 |
Hispanic | 17 | 38 |
Two or More Races | 12 | 19 |
American Indian | Data is updating | 1 |
Demographics Comparison: Palm bay vs Oceanside
- A higher percentage of Black residents are in Palm bay at 18% compared to 4% in Oceanside.
- Palm bay has a higher percentage of White residents at 51% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 2% in Palm bay.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 17% in Palm bay.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 12% in Palm bay.
- In Oceanside, the percentage of American Indian residents is higher at 1%, compared to 0% in Palm bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Palm bay | Oceanside |
---|---|---|
Mental Health Not Good | 16.8% | 16.2% |
Physical Health Not Good | 11.5% | 10.9% |
Depression | 20.3% | 17.9% |
Smoking | 19.6% | 11.7% |
Binge Drinking | 15.8% | 18.9% |
Obesity | 34.9% | 25.0% |
Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Palm bay vs Oceanside
- More residents in Palm bay report poor mental health at 16.8% compared to 16.2% in Oceanside.
- Depression is more prevalent in Palm bay at 20.3% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Palm bay at 19.6% compared to 11.7% in Oceanside.
- More residents engage in binge drinking in Oceanside at 18.9% compared to 15.8% in Palm bay.
- Obesity rates are higher in Palm bay at 34.9% compared to 25.0% in Oceanside.
- Disability percentages are higher in Palm bay at 16.0% compared to 12.0% in Oceanside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Palm bay | Oceanside |
---|---|---|
No Schooling | 0.9% (1,215) | 1.7% (2,927) |
High School Diploma | 17.2% (22,173) | 12.0% (20,662) |
Less than High School | 11.5% (14,805) | 17.7% (30,528) |
Bachelor's Degree and Higher | 14.6% (18,880) | 23.5% (40,490) |
Education Levels Comparison: Palm bay vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 0.9% in Palm bay.
- A higher percentage of residents in Palm bay hold a high school diploma at 17.2% compared to 12.0% in Oceanside.
- The percentage of residents with less than a high school education is higher in Oceanside at 17.7%, compared to 11.5% in Palm bay.
- In Oceanside, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 14.6% in Palm bay.
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.