Demographics details for Bryant, SD vs Saint marys, WV
Population Overview
Compare main population characteristics in Bryant, SD vs Saint marys, WV.
| Data | Bryant | Saint marys |
|---|---|---|
| Population | 473 | 1,808 |
| Median Age | 22.8 years | 40.5 years |
| Median Income | $58,558 | $53,125 |
| Married Families | 56.0% | 52.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 2.5 | 4.3 |
Population Comparison: Bryant vs Saint marys
- The population in Saint marys is higher at 1,808, compared to 473 in Bryant.
- The median age in Saint marys is higher at 40.5 years, compared to 22.8 years in Bryant.
- Bryant has a higher median income of $58,558 compared to $53,125 in Saint marys.
- A higher percentage of married families is found in Bryant at 56.0% compared to 52.0% in Saint marys.
- The poverty level is higher in Saint marys at 11%, compared to 10% in Bryant.
- Saint marys has a higher unemployment rate at 4.3% compared to 2.5% in Bryant.
Demographics
Demographics Bryant vs Saint marys provide insight into the diversity of the communities to compare.
| Demographic | Bryant | Saint marys |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 89 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 11 | 4 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bryant vs Saint marys
- The percentage of Black residents is the same in both Bryant and Saint marys at 0%.
- The percentage of White residents is higher in Saint marys at 91% compared to 89% in Bryant.
- Both Bryant and Saint marys have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bryant at 11% compared to 4% in Saint marys.
- The percentage of residents identifying as two or more races is higher in Saint marys at 5%, compared to 0% in Bryant.
- The percentage of American Indian residents is the same in both Bryant and Saint marys at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryant | Saint marys |
|---|---|---|
| Mental Health Not Good | 13.2% | 20.2% |
| Physical Health Not Good | 9.0% | 14.0% |
| Depression | 18.0% | 28.5% |
| Smoking | 17.5% | 22.0% |
| Binge Drinking | 20.1% | 14.5% |
| Obesity | 36.6% | 44.3% |
| Disability Percentage | 10.0% | 21.0% |
Health Statistics Comparison: Bryant vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 20.2% compared to 13.2% in Bryant.
- Higher depression rates are seen in Saint marys at 28.5% versus 18.0% in Bryant.
- Saint marys has a higher smoking rate at 22.0% compared to 17.5% in Bryant.
- Binge drinking is more common in Bryant at 20.1% compared to 14.5% in Saint marys.
- Saint marys has higher obesity rates at 44.3% compared to 36.6% in Bryant.
- There is a higher percentage of disabled individuals in Saint marys at 21.0% compared to 10.0% in Bryant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bryant | Saint marys |
|---|---|---|
| No Schooling | 3.4% (16) | 0.0% (Data is updating) |
| High School Diploma | 32.8% (155) | 34.4% (622) |
| Less than High School | 33.0% (156) | 15.7% (284) |
| Bachelor's Degree and Higher | 6.1% (29) | 15.0% (272) |
Education Levels Comparison: Bryant vs Saint marys
- A higher percentage of residents in Bryant have no formal schooling at 3.4% compared to 0.0% in Saint marys.
- In Saint marys, the rate of residents with high school diplomas is higher at 34.4% compared to 32.8% in Bryant.
- More residents in Bryant have less than a high school education at 33.0% compared to 15.7% in Saint marys.
- In Saint marys, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 6.1% in Bryant.
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.