Demographics details for Bryantown, MD vs New bern, NC
Population Overview
Compare main population characteristics in Bryantown, MD vs New bern, NC.
| Data | Bryantown | New bern |
|---|---|---|
| Population | 620 | 31,539 |
| Median Age | 41.0 years | 40.4 years |
| Median Income | $123,785 | $55,673 |
| Married Families | 55.0% | 38.0% |
| Poverty Level | 4% | 8% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Bryantown vs New bern
- The population in New bern is higher at 31,539, compared to 620 in Bryantown.
- Residents in Bryantown have a higher median age of 41.0 years compared to 40.4 years in New bern.
- Bryantown has a higher median income of $123,785 compared to $55,673 in New bern.
- A higher percentage of married families is found in Bryantown at 55.0% compared to 38.0% in New bern.
- The poverty level is higher in New bern at 8%, compared to 4% in Bryantown.
- New bern has a higher unemployment rate at 4.0% compared to 3.5% in Bryantown.
Demographics
Demographics Bryantown vs New bern provide insight into the diversity of the communities to compare.
| Demographic | Bryantown | New bern |
|---|---|---|
| Black | 20 | 31 |
| White | 60 | 52 |
| Asian | Data is updating | 5 |
| Hispanic | 10 | 6 |
| Two or More Races | 10 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bryantown vs New bern
- In New bern, the percentage of Black residents is higher at 31% compared to 20% in Bryantown.
- Bryantown has a higher percentage of White residents at 60% compared to 52% in New bern.
- In New bern, the Asian population stands at 5%, greater than 0% in Bryantown.
- The Hispanic community is larger in Bryantown at 10% compared to 6% in New bern.
- More residents identify as two or more races in Bryantown at 10% compared to 5% in New bern.
- In New bern, the percentage of American Indian residents is higher at 1%, compared to 0% in Bryantown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryantown | New bern |
|---|---|---|
| Mental Health Not Good | 14.4% | 17.0% |
| Physical Health Not Good | 9.1% | 12.4% |
| Depression | 17.9% | 23.1% |
| Smoking | 13.3% | 19.2% |
| Binge Drinking | 18.1% | 15.7% |
| Obesity | 39.0% | 39.6% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Bryantown vs New bern
- In New bern, a higher percentage report poor mental health at 17.0% compared to 14.4% in Bryantown.
- Higher depression rates are seen in New bern at 23.1% versus 17.9% in Bryantown.
- New bern has a higher smoking rate at 19.2% compared to 13.3% in Bryantown.
- Binge drinking is more common in Bryantown at 18.1% compared to 15.7% in New bern.
- New bern has higher obesity rates at 39.6% compared to 39.0% in Bryantown.
- Disability percentages are higher in Bryantown at 16.0% compared to 14.0% in New bern.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bryantown | New bern |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (226) |
| High School Diploma | 4.5% (28) | 14.6% (4,607) |
| Less than High School | 0.0% (Data is updating) | 10.3% (3,249) |
| Bachelor's Degree and Higher | 33.9% (210) | 20.0% (6,293) |
Education Levels Comparison: Bryantown vs New bern
- In New bern, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Bryantown.
- In New bern, the rate of residents with high school diplomas is higher at 14.6% compared to 4.5% in Bryantown.
- The percentage of residents with less than a high school education is higher in New bern at 10.3%, compared to 0.0% in Bryantown.
- A higher percentage of residents in Bryantown hold a bachelor's degree or higher at 33.9% compared to 20.0% in New bern.
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.