Demographics details for Ocean city, NJ vs Bolivar, TN
Population Overview
Compare main population characteristics in Ocean city, NJ vs Bolivar, TN.
| Data | Ocean city | Bolivar |
|---|---|---|
| Population | 11,303 | 5,194 |
| Median Age | 56.9 years | 39.9 years |
| Median Income | $98,576 | $36,348 |
| Married Families | 53.0% | 31.0% |
| Poverty Level | Data is updating | 22% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Ocean city vs Bolivar
- In Ocean city, the population is higher at 11,303, compared to 5,194 in Bolivar.
- Residents in Ocean city have a higher median age of 56.9 years compared to 39.9 years in Bolivar.
- Ocean city has a higher median income of $98,576 compared to $36,348 in Bolivar.
- A higher percentage of married families is found in Ocean city at 53.0% compared to 31.0% in Bolivar.
- The poverty level is higher in Bolivar at 22%, compared to 0% in Ocean city.
- Bolivar has a higher unemployment rate at 3.5% compared to 3.2% in Ocean city.
Demographics
Demographics Ocean city vs Bolivar provide insight into the diversity of the communities to compare.
| Demographic | Ocean city | Bolivar |
|---|---|---|
| Black | 3 | 62 |
| White | 86 | 30 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | 1 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Ocean city vs Bolivar
- In Bolivar, the percentage of Black residents is higher at 62% compared to 3% in Ocean city.
- Ocean city has a higher percentage of White residents at 86% compared to 30% in Bolivar.
- Both Ocean city and Bolivar have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Ocean city at 8% compared to 1% in Bolivar.
- The percentage of residents identifying as two or more races is higher in Bolivar at 5%, compared to 3% in Ocean city.
- In Bolivar, the percentage of American Indian residents is higher at 2%, compared to 0% in Ocean city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ocean city | Bolivar |
|---|---|---|
| Mental Health Not Good | 14.0% | 21.0% |
| Physical Health Not Good | 8.7% | 15.8% |
| Depression | 21.8% | 25.2% |
| Smoking | 11.9% | 26.1% |
| Binge Drinking | 20.3% | 11.7% |
| Obesity | 29.8% | 42.7% |
| Disability Percentage | 14.0% | 27.0% |
Health Statistics Comparison: Ocean city vs Bolivar
- In Bolivar, a higher percentage report poor mental health at 21.0% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Bolivar at 25.2% versus 21.8% in Ocean city.
- Bolivar has a higher smoking rate at 26.1% compared to 11.9% in Ocean city.
- Binge drinking is more common in Ocean city at 20.3% compared to 11.7% in Bolivar.
- Bolivar has higher obesity rates at 42.7% compared to 29.8% in Ocean city.
- There is a higher percentage of disabled individuals in Bolivar at 27.0% 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 | Bolivar |
|---|---|---|
| No Schooling | 0.4% (50) | 0.0% (Data is updating) |
| High School Diploma | 16.9% (1,907) | 23.8% (1,238) |
| Less than High School | 6.0% (676) | 15.1% (786) |
| Bachelor's Degree and Higher | 43.6% (4,926) | 7.7% (398) |
Education Levels Comparison: Ocean city vs Bolivar
- A higher percentage of residents in Ocean city have no formal schooling at 0.4% compared to 0.0% in Bolivar.
- In Bolivar, the rate of residents with high school diplomas is higher at 23.8% compared to 16.9% in Ocean city.
- The percentage of residents with less than a high school education is higher in Bolivar at 15.1%, compared to 6.0% in Ocean city.
- A higher percentage of residents in Ocean city hold a bachelor's degree or higher at 43.6% compared to 7.7% in Bolivar.
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.