Demographics details for Red bay, AL vs Columbus, OH
Population Overview
Compare main population characteristics in Red bay, AL vs Columbus, OH.
| Data | Red bay | Columbus |
|---|---|---|
| Population | 3,205 | 907,971 |
| Median Age | 46.3 years | 32.7 years |
| Median Income | $33,234 | $62,994 |
| Married Families | 32.0% | 29.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Red bay vs Columbus
- The population in Columbus is higher at 907,971, compared to 3,205 in Red bay.
- Residents in Red bay have a higher median age of 46.3 years compared to 32.7 years in Columbus.
- Columbus has a higher median income of $62,994, compared to $33,234 in Red bay.
- A higher percentage of married families is found in Red bay at 32.0% compared to 29.0% in Columbus.
- The poverty level is higher in Columbus at 14%, compared to 10% in Red bay.
- Columbus has a higher unemployment rate at 5.0% compared to 3.5% in Red bay.
Demographics
Demographics Red bay vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Red bay | Columbus |
|---|---|---|
| Black | Data is updating | 29 |
| White | 87 | 51 |
| Asian | Data is updating | 6 |
| Hispanic | 7 | 7 |
| Two or More Races | 6 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Red bay vs Columbus
- In Columbus, the percentage of Black residents is higher at 29% compared to 0% in Red bay.
- Red bay has a higher percentage of White residents at 87% compared to 51% in Columbus.
- In Columbus, the Asian population stands at 6%, greater than 0% in Red bay.
- The percentage of Hispanic residents is the same in both Red bay and Columbus at 7%.
- The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 6% in Red bay.
- The percentage of American Indian residents is the same in both Red bay and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Red bay | Columbus |
|---|---|---|
| Mental Health Not Good | 20.9% | 18.4% |
| Physical Health Not Good | 14.8% | 12.2% |
| Depression | 26.5% | 23.9% |
| Smoking | 23.2% | 19.6% |
| Binge Drinking | 15.2% | 17.7% |
| Obesity | 38.3% | 38.0% |
| Disability Percentage | 21.0% | 11.0% |
Health Statistics Comparison: Red bay vs Columbus
- More residents in Red bay report poor mental health at 20.9% compared to 18.4% in Columbus.
- Depression is more prevalent in Red bay at 26.5% compared to 23.9% in Columbus.
- Smoking is more prevalent in Red bay at 23.2% compared to 19.6% in Columbus.
- More residents engage in binge drinking in Columbus at 17.7% compared to 15.2% in Red bay.
- Obesity rates are higher in Red bay at 38.3% compared to 38.0% in Columbus.
- Disability percentages are higher in Red bay at 21.0% compared to 11.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Red bay | Columbus |
|---|---|---|
| No Schooling | 0.4% (14) | 1.4% (12,592) |
| High School Diploma | 29.0% (930) | 14.4% (130,716) |
| Less than High School | 27.0% (866) | 9.7% (87,770) |
| Bachelor's Degree and Higher | 11.6% (372) | 25.2% (229,071) |
Education Levels Comparison: Red bay vs Columbus
- In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Red bay.
- A higher percentage of residents in Red bay hold a high school diploma at 29.0% compared to 14.4% in Columbus.
- More residents in Red bay have less than a high school education at 27.0% compared to 9.7% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 11.6% in Red bay.
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.