Demographics details for Bryantown, MD vs Green, OH
Population Overview
Compare main population characteristics in Bryantown, MD vs Green, OH.
| Data | Bryantown | Green |
|---|---|---|
| Population | 620 | 27,269 |
| Median Age | 41.0 years | 41.1 years |
| Median Income | $123,785 | $90,419 |
| Married Families | 55.0% | 45.0% |
| Poverty Level | 4% | 4% |
| Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Bryantown vs Green
- The population in Green is higher at 27,269, compared to 620 in Bryantown.
- The median age in Green is higher at 41.1 years, compared to 41.0 years in Bryantown.
- Bryantown has a higher median income of $123,785 compared to $90,419 in Green.
- A higher percentage of married families is found in Bryantown at 55.0% compared to 45.0% in Green.
- The poverty level is identical in both Bryantown and Green at 4%.
- Green has a higher unemployment rate at 4.7% compared to 3.5% in Bryantown.
Demographics
Demographics Bryantown vs Green provide insight into the diversity of the communities to compare.
| Demographic | Bryantown | Green |
|---|---|---|
| Black | 20 | 1 |
| White | 60 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | 10 | 1 |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bryantown vs Green
- A higher percentage of Black residents are in Bryantown at 20% compared to 1% in Green.
- The percentage of White residents is higher in Green at 94% compared to 60% in Bryantown.
- In Green, the Asian population stands at 1%, greater than 0% in Bryantown.
- The Hispanic community is larger in Bryantown at 10% compared to 1% in Green.
- More residents identify as two or more races in Bryantown at 10% compared to 3% in Green.
- The percentage of American Indian residents is the same in both Bryantown and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryantown | Green |
|---|---|---|
| Mental Health Not Good | 14.4% | 16.6% |
| Physical Health Not Good | 9.1% | 10.5% |
| Depression | 17.9% | 24.7% |
| Smoking | 13.3% | 17.4% |
| Binge Drinking | 18.1% | 19.1% |
| Obesity | 39.0% | 40.2% |
| Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Bryantown vs Green
- In Green, a higher percentage report poor mental health at 16.6% compared to 14.4% in Bryantown.
- Higher depression rates are seen in Green at 24.7% versus 17.9% in Bryantown.
- Green has a higher smoking rate at 17.4% compared to 13.3% in Bryantown.
- More residents engage in binge drinking in Green at 19.1% compared to 18.1% in Bryantown.
- Green has higher obesity rates at 40.2% compared to 39.0% in Bryantown.
- Disability percentages are higher in Bryantown at 16.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bryantown | Green |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (46) |
| High School Diploma | 4.5% (28) | 16.6% (4,514) |
| Less than High School | 0.0% (Data is updating) | 3.0% (828) |
| Bachelor's Degree and Higher | 33.9% (210) | 29.3% (7,977) |
Education Levels Comparison: Bryantown vs Green
- In Green, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Bryantown.
- In Green, the rate of residents with high school diplomas is higher at 16.6% compared to 4.5% in Bryantown.
- The percentage of residents with less than a high school education is higher in Green at 3.0%, 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 29.3% in Green.
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.