Demographics details for Florence, OR vs Red bay, AL
Population Overview
Compare main population characteristics in Florence, OR vs Red bay, AL.
| Data | Florence | Red bay |
|---|---|---|
| Population | 9,376 | 3,205 |
| Median Age | 57.7 years | 46.3 years |
| Median Income | $57,568 | $33,234 |
| Married Families | 42.0% | 32.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Florence vs Red bay
- In Florence, the population is higher at 9,376, compared to 3,205 in Red bay.
- Residents in Florence have a higher median age of 57.7 years compared to 46.3 years in Red bay.
- Florence has a higher median income of $57,568 compared to $33,234 in Red bay.
- A higher percentage of married families is found in Florence at 42.0% compared to 32.0% in Red bay.
- The poverty level is identical in both Florence and Red bay at 10%.
- The unemployment rate in Florence is higher at 4.5%, compared to 3.5% in Red bay.
Demographics
Demographics Florence vs Red bay provide insight into the diversity of the communities to compare.
| Demographic | Florence | Red bay |
|---|---|---|
| Black | 2 | Data is updating |
| White | 87 | 87 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 7 |
| Two or More Races | 3 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Red bay
- A higher percentage of Black residents are in Florence at 2% compared to 0% in Red bay.
- The percentage of White residents is the same in both Florence and Red bay at 87%.
- The Asian population is larger in Florence at 2% compared to 0% in Red bay.
- Red bay has a higher percentage of Hispanic residents at 7%, compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Red bay at 6%, compared to 3% in Florence.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Red bay.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Red bay |
|---|---|---|
| Mental Health Not Good | 19.8% | 20.9% |
| Physical Health Not Good | 13.1% | 14.8% |
| Depression | 29.2% | 26.5% |
| Smoking | 16.7% | 23.2% |
| Binge Drinking | 17.0% | 15.2% |
| Obesity | 36.0% | 38.3% |
| Disability Percentage | 25.0% | 21.0% |
Health Statistics Comparison: Florence vs Red bay
- In Red bay, a higher percentage report poor mental health at 20.9% compared to 19.8% in Florence.
- Depression is more prevalent in Florence at 29.2% compared to 26.5% in Red bay.
- Red bay has a higher smoking rate at 23.2% compared to 16.7% in Florence.
- Binge drinking is more common in Florence at 17.0% compared to 15.2% in Red bay.
- Red bay has higher obesity rates at 38.3% compared to 36.0% in Florence.
- Disability percentages are higher in Florence at 25.0% compared to 21.0% in Red bay.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Red bay |
|---|---|---|
| No Schooling | 0.4% (35) | 0.4% (14) |
| High School Diploma | 14.2% (1,331) | 29.0% (930) |
| Less than High School | 15.6% (1,467) | 27.0% (866) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 11.6% (372) |
Education Levels Comparison: Florence vs Red bay
- The percentage of residents with no formal schooling is the same in both Florence and Red bay at 0.4%.
- In Red bay, the rate of residents with high school diplomas is higher at 29.0% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Red bay at 27.0%, compared to 15.6% in Florence.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% 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.