Demographics details for Bryant, SD vs Warner robins, GA
Population Overview
Compare main population characteristics in Bryant, SD vs Warner robins, GA.
Data | Bryant | Warner robins |
---|---|---|
Population | 473 | 82,175 |
Median Age | 22.8 years | 32.4 years |
Median Income | $58,558 | $63,678 |
Married Families | 56.0% | 32.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 2.5 | 3.8 |
Population Comparison: Bryant vs Warner robins
- The population in Warner robins is higher at 82,175, compared to 473 in Bryant.
- The median age in Warner robins is higher at 32.4 years, compared to 22.8 years in Bryant.
- Warner robins has a higher median income of $63,678, compared to $58,558 in Bryant.
- A higher percentage of married families is found in Bryant at 56.0% compared to 32.0% in Warner robins.
- Bryant has a higher poverty level at 10% compared to 8% in Warner robins.
- Warner robins has a higher unemployment rate at 3.8% compared to 2.5% in Bryant.
Demographics
Demographics Bryant vs Warner robins provide insight into the diversity of the communities to compare.
Demographic | Bryant | Warner robins |
---|---|---|
Black | Data is updating | 40 |
White | 89 | 42 |
Asian | Data is updating | 3 |
Hispanic | 11 | 7 |
Two or More Races | Data is updating | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Bryant vs Warner robins
- In Warner robins, the percentage of Black residents is higher at 40% compared to 0% in Bryant.
- Bryant has a higher percentage of White residents at 89% compared to 42% in Warner robins.
- In Warner robins, the Asian population stands at 3%, greater than 0% in Bryant.
- The Hispanic community is larger in Bryant at 11% compared to 7% in Warner robins.
- The percentage of residents identifying as two or more races is higher in Warner robins at 7%, compared to 0% in Bryant.
- In Warner robins, the percentage of American Indian residents is higher at 1%, compared to 0% in Bryant.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bryant | Warner robins |
---|---|---|
Mental Health Not Good | 13.2% | 17.6% |
Physical Health Not Good | 9.0% | 13.1% |
Depression | 18.0% | 22.1% |
Smoking | 17.5% | 18.6% |
Binge Drinking | 20.1% | 15.9% |
Obesity | 36.6% | 39.9% |
Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Bryant vs Warner robins
- In Warner robins, a higher percentage report poor mental health at 17.6% compared to 13.2% in Bryant.
- Higher depression rates are seen in Warner robins at 22.1% versus 18.0% in Bryant.
- Warner robins has a higher smoking rate at 18.6% compared to 17.5% in Bryant.
- Binge drinking is more common in Bryant at 20.1% compared to 15.9% in Warner robins.
- Warner robins has higher obesity rates at 39.9% compared to 36.6% in Bryant.
- There is a higher percentage of disabled individuals in Warner robins at 12.0% 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 | Warner robins |
---|---|---|
No Schooling | 3.4% (16) | 0.4% (335) |
High School Diploma | 32.8% (155) | 14.9% (12,260) |
Less than High School | 33.0% (156) | 7.0% (5,714) |
Bachelor's Degree and Higher | 6.1% (29) | 19.2% (15,752) |
Education Levels Comparison: Bryant vs Warner robins
- A higher percentage of residents in Bryant have no formal schooling at 3.4% compared to 0.4% in Warner robins.
- A higher percentage of residents in Bryant hold a high school diploma at 32.8% compared to 14.9% in Warner robins.
- More residents in Bryant have less than a high school education at 33.0% compared to 7.0% in Warner robins.
- In Warner robins, a larger share of residents have a bachelor's degree or higher at 19.2% 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.