Demographics details for Bryant, SD vs Millen, GA
Population Overview
Compare main population characteristics in Bryant, SD vs Millen, GA.
| Data | Bryant | Millen |
|---|---|---|
| Population | 473 | 2,957 |
| Median Age | 22.8 years | 54.5 years |
| Median Income | $58,558 | $34,213 |
| Married Families | 56.0% | 29.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Bryant vs Millen
- The population in Millen is higher at 2,957, compared to 473 in Bryant.
- The median age in Millen is higher at 54.5 years, compared to 22.8 years in Bryant.
- Bryant has a higher median income of $58,558 compared to $34,213 in Millen.
- A higher percentage of married families is found in Bryant at 56.0% compared to 29.0% in Millen.
- The poverty level is higher in Millen at 15%, compared to 10% in Bryant.
- Millen has a higher unemployment rate at 4.5% compared to 2.5% in Bryant.
Demographics
Demographics Bryant vs Millen provide insight into the diversity of the communities to compare.
| Demographic | Bryant | Millen |
|---|---|---|
| Black | Data is updating | 48 |
| White | 89 | 40 |
| Asian | Data is updating | Data is updating |
| Hispanic | 11 | 6 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bryant vs Millen
- In Millen, the percentage of Black residents is higher at 48% compared to 0% in Bryant.
- Bryant has a higher percentage of White residents at 89% compared to 40% in Millen.
- Both Bryant and Millen have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bryant at 11% compared to 6% in Millen.
- The percentage of residents identifying as two or more races is higher in Millen at 6%, compared to 0% in Bryant.
- The percentage of American Indian residents is the same in both Bryant and Millen at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryant | Millen |
|---|---|---|
| Mental Health Not Good | 13.2% | 21.3% |
| Physical Health Not Good | 9.0% | 17.2% |
| Depression | 18.0% | 22.3% |
| Smoking | 17.5% | 26.7% |
| Binge Drinking | 20.1% | 12.0% |
| Obesity | 36.6% | 45.9% |
| Disability Percentage | 10.0% | 26.0% |
Health Statistics Comparison: Bryant vs Millen
- In Millen, a higher percentage report poor mental health at 21.3% compared to 13.2% in Bryant.
- Higher depression rates are seen in Millen at 22.3% versus 18.0% in Bryant.
- Millen has a higher smoking rate at 26.7% compared to 17.5% in Bryant.
- Binge drinking is more common in Bryant at 20.1% compared to 12.0% in Millen.
- Millen has higher obesity rates at 45.9% compared to 36.6% in Bryant.
- There is a higher percentage of disabled individuals in Millen at 26.0% 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 | Millen |
|---|---|---|
| No Schooling | 3.4% (16) | 1.2% (36) |
| High School Diploma | 32.8% (155) | 32.5% (960) |
| Less than High School | 33.0% (156) | 23.3% (690) |
| Bachelor's Degree and Higher | 6.1% (29) | 7.1% (211) |
Education Levels Comparison: Bryant vs Millen
- A higher percentage of residents in Bryant have no formal schooling at 3.4% compared to 1.2% in Millen.
- A higher percentage of residents in Bryant hold a high school diploma at 32.8% compared to 32.5% in Millen.
- More residents in Bryant have less than a high school education at 33.0% compared to 23.3% in Millen.
- In Millen, a larger share of residents have a bachelor's degree or higher at 7.1% 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.