Demographics details for Red bay, AL vs Ballard, WV
Population Overview
Compare main population characteristics in Red bay, AL vs Ballard, WV.
Data | Red bay | Ballard |
---|---|---|
Population | 3,205 | 187 |
Median Age | 46.3 years | 40.0 years |
Median Income | $33,234 | $60,000 |
Married Families | 32.0% | 50.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Red bay vs Ballard
- In Red bay, the population is higher at 3,205, compared to 187 in Ballard.
- Residents in Red bay have a higher median age of 46.3 years compared to 40.0 years in Ballard.
- Ballard has a higher median income of $60,000, compared to $33,234 in Red bay.
- In Ballard, the percentage of married families is higher at 50.0%, compared to 32.0% in Red bay.
- The poverty level is higher in Ballard at 12%, compared to 10% in Red bay.
- Ballard has a higher unemployment rate at 5.0% compared to 3.5% in Red bay.
Demographics
Demographics Red bay vs Ballard provide insight into the diversity of the communities to compare.
Demographic | Red bay | Ballard |
---|---|---|
Black | Data is updating | Data is updating |
White | 87 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 7 | Data is updating |
Two or More Races | 6 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Red bay vs Ballard
- The percentage of Black residents is the same in both Red bay and Ballard at 0%.
- The percentage of White residents is higher in Ballard at 100% compared to 87% in Red bay.
- Both Red bay and Ballard have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Red bay at 7% compared to 0% in Ballard.
- More residents identify as two or more races in Red bay at 6% compared to 0% in Ballard.
- The percentage of American Indian residents is the same in both Red bay and Ballard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Red bay | Ballard |
---|---|---|
Mental Health Not Good | 20.9% | Data is updating% |
Physical Health Not Good | 14.8% | Data is updating% |
Depression | 26.5% | Data is updating% |
Smoking | 23.2% | Data is updating% |
Binge Drinking | 15.2% | Data is updating% |
Obesity | 38.3% | Data is updating% |
Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: Red bay vs Ballard
- More residents in Red bay report poor mental health at 20.9% compared to 0.0% in Ballard.
- Depression is more prevalent in Red bay at 26.5% compared to 0.0% in Ballard.
- Smoking is more prevalent in Red bay at 23.2% compared to 0.0% in Ballard.
- Binge drinking is more common in Red bay at 15.2% compared to 0.0% in Ballard.
- Obesity rates are higher in Red bay at 38.3% compared to 0.0% in Ballard.
- Disability percentages are higher in Red bay at 21.0% compared to 0.0% in Ballard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Red bay | Ballard |
---|---|---|
No Schooling | 0.4% (14) | 0.0% (Data is updating) |
High School Diploma | 29.0% (930) | 0.0% (Data is updating) |
Less than High School | 27.0% (866) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 11.6% (372) | 0.0% (Data is updating) |
Education Levels Comparison: Red bay vs Ballard
- A higher percentage of residents in Red bay have no formal schooling at 0.4% compared to 0.0% in Ballard.
- A higher percentage of residents in Red bay hold a high school diploma at 29.0% compared to 0.0% in Ballard.
- More residents in Red bay have less than a high school education at 27.0% compared to 0.0% in Ballard.
- A higher percentage of residents in Red bay hold a bachelor's degree or higher at 11.6% compared to 0.0% in Ballard.
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.