Demographics details for Bryantown, MD vs Ocean city, NJ
Population Overview
Compare main population characteristics in Bryantown, MD vs Ocean city, NJ.
| Data | Bryantown | Ocean city |
|---|---|---|
| Population | 620 | 11,303 |
| Median Age | 41.0 years | 56.9 years |
| Median Income | $123,785 | $98,576 |
| Married Families | 55.0% | 53.0% |
| Poverty Level | 4% | Data is updating |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Bryantown vs Ocean city
- The population in Ocean city is higher at 11,303, compared to 620 in Bryantown.
- The median age in Ocean city is higher at 56.9 years, compared to 41.0 years in Bryantown.
- Bryantown has a higher median income of $123,785 compared to $98,576 in Ocean city.
- A higher percentage of married families is found in Bryantown at 55.0% compared to 53.0% in Ocean city.
- Bryantown has a higher poverty level at 4% compared to 0% in Ocean city.
- The unemployment rate in Bryantown is higher at 3.5%, compared to 3.2% in Ocean city.
Demographics
Demographics Bryantown vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Bryantown | Ocean city |
|---|---|---|
| Black | 20 | 3 |
| White | 60 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 10 | 8 |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bryantown vs Ocean city
- A higher percentage of Black residents are in Bryantown at 20% compared to 3% in Ocean city.
- The percentage of White residents is higher in Ocean city at 86% compared to 60% in Bryantown.
- Both Bryantown and Ocean city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bryantown at 10% compared to 8% in Ocean city.
- More residents identify as two or more races in Bryantown at 10% compared to 3% in Ocean city.
- The percentage of American Indian residents is the same in both Bryantown and Ocean city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryantown | Ocean city |
|---|---|---|
| Mental Health Not Good | 14.4% | 14.0% |
| Physical Health Not Good | 9.1% | 8.7% |
| Depression | 17.9% | 21.8% |
| Smoking | 13.3% | 11.9% |
| Binge Drinking | 18.1% | 20.3% |
| Obesity | 39.0% | 29.8% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Bryantown vs Ocean city
- More residents in Bryantown report poor mental health at 14.4% compared to 14.0% in Ocean city.
- Higher depression rates are seen in Ocean city at 21.8% versus 17.9% in Bryantown.
- Smoking is more prevalent in Bryantown at 13.3% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 18.1% in Bryantown.
- Obesity rates are higher in Bryantown at 39.0% compared to 29.8% in Ocean city.
- Disability percentages are higher in Bryantown at 16.0% 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 | Bryantown | Ocean city |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (50) |
| High School Diploma | 4.5% (28) | 16.9% (1,907) |
| Less than High School | 0.0% (Data is updating) | 6.0% (676) |
| Bachelor's Degree and Higher | 33.9% (210) | 43.6% (4,926) |
Education Levels Comparison: Bryantown vs Ocean city
- In Ocean city, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Bryantown.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 4.5% in Bryantown.
- The percentage of residents with less than a high school education is higher in Ocean city at 6.0%, compared to 0.0% in Bryantown.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 33.9% in Bryantown.
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.