Demographics details for Ocean city, NJ vs Bothell, WA
Population Overview
Compare main population characteristics in Ocean city, NJ vs Bothell, WA.
| Data | Ocean city | Bothell |
|---|---|---|
| Population | 11,303 | 49,017 |
| Median Age | 56.9 years | 38.0 years |
| Median Income | $98,576 | $127,944 |
| Married Families | 53.0% | 47.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 3.2 | 4.8 |
Population Comparison: Ocean city vs Bothell
- The population in Bothell is higher at 49,017, compared to 11,303 in Ocean city.
- Residents in Ocean city have a higher median age of 56.9 years compared to 38.0 years in Bothell.
- Bothell has a higher median income of $127,944, compared to $98,576 in Ocean city.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 47.0% in Bothell.
- The poverty level is higher in Bothell at 6%, compared to 0% in Ocean city.
- Bothell has a higher unemployment rate at 4.8% compared to 3.2% in Ocean city.
Demographics
Demographics Ocean city vs Bothell provide insight into the diversity of the communities to compare.
| Demographic | Ocean city | Bothell |
|---|---|---|
| Black | 3 | 1 |
| White | 86 | 63 |
| Asian | Data is updating | 18 |
| Hispanic | 8 | 9 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ocean city vs Bothell
- A higher percentage of Black residents are in Ocean city at 3% compared to 1% in Bothell.
- Ocean city has a higher percentage of White residents at 86% compared to 63% in Bothell.
- In Bothell, the Asian population stands at 18%, greater than 0% in Ocean city.
- Bothell has a higher percentage of Hispanic residents at 9%, compared to 8% in Ocean city.
- The percentage of residents identifying as two or more races is higher in Bothell at 9%, compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Ocean city and Bothell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocean city | Bothell |
|---|---|---|
| Mental Health Not Good | 14.0% | 15.0% |
| Physical Health Not Good | 8.7% | 8.7% |
| Depression | 21.8% | 25.7% |
| Smoking | 11.9% | 8.9% |
| Binge Drinking | 20.3% | 17.5% |
| Obesity | 29.8% | 26.2% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Ocean city vs Bothell
- In Bothell, a higher percentage report poor mental health at 15.0% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Bothell at 25.7% versus 21.8% in Ocean city.
- Smoking is more prevalent in Ocean city at 11.9% compared to 8.9% in Bothell.
- Binge drinking is more common in Ocean city at 20.3% compared to 17.5% in Bothell.
- Obesity rates are higher in Ocean city at 29.8% compared to 26.2% in Bothell.
- Disability percentages are higher in Ocean city at 14.0% compared to 9.0% in Bothell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ocean city | Bothell |
|---|---|---|
| No Schooling | 0.4% (50) | 0.6% (276) |
| High School Diploma | 16.9% (1,907) | 6.4% (3,131) |
| Less than High School | 6.0% (676) | 5.8% (2,838) |
| Bachelor's Degree and Higher | 43.6% (4,926) | 39.0% (19,107) |
Education Levels Comparison: Ocean city vs Bothell
- In Bothell, a larger percentage of residents lack formal schooling at 0.6% 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 6.4% in Bothell.
- More residents in Ocean city have less than a high school education at 6.0% compared to 5.8% in Bothell.
- A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 39.0% in Bothell.
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.