Demographics details for Boston, MA vs Ocean city, NJ
Population Overview
Compare main population characteristics in Boston, MA vs Ocean city, NJ.
| Data | Boston | Ocean city |
|---|---|---|
| Population | 650,706 | 11,303 |
| Median Age | 32.9 years | 56.9 years |
| Median Income | $89,212 | $98,576 |
| Married Families | 28.0% | 53.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Boston vs Ocean city
- In Boston, the population is higher at 650,706, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 32.9 years in Boston.
- Ocean city has a higher median income of $98,576, compared to $89,212 in Boston.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 28.0% in Boston.
- Boston has a higher poverty level at 12% compared to 0% in Ocean city.
- The unemployment rate in Boston is higher at 4.1%, compared to 3.2% in Ocean city.
Demographics
Demographics Boston vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Boston | Ocean city |
|---|---|---|
| Black | 23 | 3 |
| White | 35 | 86 |
| Asian | 10 | Data is updating |
| Hispanic | 20 | 8 |
| Two or More Races | 12 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boston vs Ocean city
- A higher percentage of Black residents are in Boston at 23% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 35% in Boston.
- The Asian population is larger in Boston at 10% compared to 0% in Ocean city.
- The Hispanic community is larger in Boston at 20% compared to 8% in Ocean city.
- More residents identify as two or more races in Boston at 12% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Boston and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boston | Ocean city |
|---|---|---|
| Mental Health Not Good | 15.7% | 14.0% |
| Physical Health Not Good | 9.9% | 8.7% |
| Depression | 20.8% | 21.8% |
| Smoking | 13.3% | 11.9% |
| Binge Drinking | 17.8% | 20.3% |
| Obesity | 25.6% | 29.8% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Boston vs Ocean city
- More residents in Boston report poor mental health at 15.7% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Ocean city at 21.8% versus 20.8% in Boston.
- Smoking is more prevalent in Boston at 13.3% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 17.8% in Boston.
- Ocean city has higher obesity rates at 29.8% compared to 25.6% in Boston.
- There is a higher percentage of disabled individuals in Ocean city at 14.0% compared to 12.0% in Boston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boston | Ocean city |
|---|---|---|
| No Schooling | 1.9% (12,293) | 0.4% (50) |
| High School Diploma | 11.1% (72,385) | 16.9% (1,907) |
| Less than High School | 12.6% (82,156) | 6.0% (676) |
| Bachelor's Degree and Higher | 38.1% (248,216) | 43.6% (4,926) |
Education Levels Comparison: Boston vs Ocean city
- A higher percentage of residents in Boston have no formal schooling at 1.9% compared to 0.4% in Ocean city.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 11.1% in Boston.
- More residents in Boston have less than a high school education at 12.6% compared to 6.0% in Ocean city.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 38.1% in Boston.
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.