Demographics details for Ocean city, NJ vs Sunrise beach, MO
Population Overview
Compare main population characteristics in Ocean city, NJ vs Sunrise beach, MO.
Data | Ocean city | Sunrise beach |
---|---|---|
Population | 11,303 | 475 |
Median Age | 56.9 years | 43.9 years |
Median Income | $98,576 | $46,389 |
Married Families | 53.0% | 33.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Ocean city vs Sunrise beach
- In Ocean city, the population is higher at 11,303, compared to 475 in Sunrise beach.
- Residents in Ocean city have a higher median age of 56.9 years compared to 43.9 years in Sunrise beach.
- Ocean city has a higher median income of $98,576 compared to $46,389 in Sunrise beach.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 33.0% in Sunrise beach.
- The poverty level is higher in Sunrise beach at 12%, compared to 0% in Ocean city.
- Sunrise beach has a higher unemployment rate at 3.5% compared to 3.2% in Ocean city.
Demographics
Demographics Ocean city vs Sunrise beach provide insight into the diversity of the communities to compare.
Demographic | Ocean city | Sunrise beach |
---|---|---|
Black | 3 | 1 |
White | 86 | 91 |
Asian | Data is updating | 1 |
Hispanic | 8 | 5 |
Two or More Races | 3 | 1 |
American Indian | Data is updating | 1 |
Demographics Comparison: Ocean city vs Sunrise beach
- A higher percentage of Black residents are in Ocean city at 3% compared to 1% in Sunrise beach.
- The percentage of White residents is higher in Sunrise beach at 91% compared to 86% in Ocean city.
- In Sunrise beach, the Asian population stands at 1%, greater than 0% in Ocean city.
- The Hispanic community is larger in Ocean city at 8% compared to 5% in Sunrise beach.
- More residents identify as two or more races in Ocean city at 3% compared to 1% in Sunrise beach.
- In Sunrise beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Ocean city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ocean city | Sunrise beach |
---|---|---|
Mental Health Not Good | 14.0% | 17.7% |
Physical Health Not Good | 8.7% | 12.6% |
Depression | 21.8% | 25.2% |
Smoking | 11.9% | 20.6% |
Binge Drinking | 20.3% | 19.7% |
Obesity | 29.8% | 37.2% |
Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Ocean city vs Sunrise beach
- In Sunrise beach, a higher percentage report poor mental health at 17.7% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Sunrise beach at 25.2% versus 21.8% in Ocean city.
- Sunrise beach has a higher smoking rate at 20.6% compared to 11.9% in Ocean city.
- Binge drinking is more common in Ocean city at 20.3% compared to 19.7% in Sunrise beach.
- Sunrise beach has higher obesity rates at 37.2% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Sunrise beach at 17.0% compared to 14.0% in Ocean city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ocean city | Sunrise beach |
---|---|---|
No Schooling | 0.4% (50) | 1.1% (5) |
High School Diploma | 16.9% (1,907) | 20.8% (99) |
Less than High School | 6.0% (676) | 2.9% (14) |
Bachelor's Degree and Higher | 43.6% (4,926) | 25.5% (121) |
Education Levels Comparison: Ocean city vs Sunrise beach
- In Sunrise beach, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Ocean city.
- In Sunrise beach, the rate of residents with high school diplomas is higher at 20.8% compared to 16.9% in Ocean city.
- More residents in Ocean city have less than a high school education at 6.0% compared to 2.9% in Sunrise beach.
- A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 25.5% in Sunrise beach.
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.