Demographics details for Sunrise beach, MO vs Oceanside, CA
Population Overview
Compare main population characteristics in Sunrise beach, MO vs Oceanside, CA.
Data | Sunrise beach | Oceanside |
---|---|---|
Population | 475 | 172,199 |
Median Age | 43.9 years | 37.5 years |
Median Income | $46,389 | $86,701 |
Married Families | 33.0% | 41.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 3.5 | 4.6 |
Population Comparison: Sunrise beach vs Oceanside
- The population in Oceanside is higher at 172,199, compared to 475 in Sunrise beach.
- Residents in Sunrise beach have a higher median age of 43.9 years compared to 37.5 years in Oceanside.
- Oceanside has a higher median income of $86,701, compared to $46,389 in Sunrise beach.
- In Oceanside, the percentage of married families is higher at 41.0%, compared to 33.0% in Sunrise beach.
- Sunrise beach has a higher poverty level at 12% compared to 9% in Oceanside.
- Oceanside has a higher unemployment rate at 4.6% compared to 3.5% in Sunrise beach.
Demographics
Demographics Sunrise beach vs Oceanside provide insight into the diversity of the communities to compare.
Demographic | Sunrise beach | Oceanside |
---|---|---|
Black | 1 | 4 |
White | 91 | 31 |
Asian | 1 | 7 |
Hispanic | 5 | 38 |
Two or More Races | 1 | 19 |
American Indian | 1 | 1 |
Demographics Comparison: Sunrise beach vs Oceanside
- In Oceanside, the percentage of Black residents is higher at 4% compared to 1% in Sunrise beach.
- Sunrise beach has a higher percentage of White residents at 91% compared to 31% in Oceanside.
- In Oceanside, the Asian population stands at 7%, greater than 1% in Sunrise beach.
- Oceanside has a higher percentage of Hispanic residents at 38%, compared to 5% in Sunrise beach.
- The percentage of residents identifying as two or more races is higher in Oceanside at 19%, compared to 1% in Sunrise beach.
- The percentage of American Indian residents is the same in both Sunrise beach and Oceanside at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sunrise beach | Oceanside |
---|---|---|
Mental Health Not Good | 17.7% | 16.2% |
Physical Health Not Good | 12.6% | 10.9% |
Depression | 25.2% | 17.9% |
Smoking | 20.6% | 11.7% |
Binge Drinking | 19.7% | 18.9% |
Obesity | 37.2% | 25.0% |
Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Sunrise beach vs Oceanside
- More residents in Sunrise beach report poor mental health at 17.7% compared to 16.2% in Oceanside.
- Depression is more prevalent in Sunrise beach at 25.2% compared to 17.9% in Oceanside.
- Smoking is more prevalent in Sunrise beach at 20.6% compared to 11.7% in Oceanside.
- Binge drinking is more common in Sunrise beach at 19.7% compared to 18.9% in Oceanside.
- Obesity rates are higher in Sunrise beach at 37.2% compared to 25.0% in Oceanside.
- Disability percentages are higher in Sunrise beach at 17.0% 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 | Sunrise beach | Oceanside |
---|---|---|
No Schooling | 1.1% (5) | 1.7% (2,927) |
High School Diploma | 20.8% (99) | 12.0% (20,662) |
Less than High School | 2.9% (14) | 17.7% (30,528) |
Bachelor's Degree and Higher | 25.5% (121) | 23.5% (40,490) |
Education Levels Comparison: Sunrise beach vs Oceanside
- In Oceanside, a larger percentage of residents lack formal schooling at 1.7% compared to 1.1% in Sunrise beach.
- A higher percentage of residents in Sunrise beach hold a high school diploma at 20.8% 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 2.9% in Sunrise beach.
- A higher percentage of residents in Sunrise beach hold a bachelor's degree or higher at 25.5% 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.