Demographics details for Daytona beach, FL vs Rincon, GA
Population Overview
Compare main population characteristics in Daytona beach, FL vs Rincon, GA.
| Data | Daytona beach | Rincon |
|---|---|---|
| Population | 77,958 | 11,248 |
| Median Age | 40.2 years | 31.4 years |
| Median Income | $47,608 | $73,708 |
| Married Families | 27.0% | 41.0% |
| Poverty Level | 15% | 9% |
| Unemployment Rate | 5.0 | 4.0 |
Population Comparison: Daytona beach vs Rincon
- In Daytona beach, the population is higher at 77,958, compared to 11,248 in Rincon.
- Residents in Daytona beach have a higher median age of 40.2 years compared to 31.4 years in Rincon.
- Rincon has a higher median income of $73,708, compared to $47,608 in Daytona beach.
- In Rincon, the percentage of married families is higher at 41.0%, compared to 27.0% in Daytona beach.
- Daytona beach has a higher poverty level at 15% compared to 9% in Rincon.
- The unemployment rate in Daytona beach is higher at 5.0%, compared to 4.0% in Rincon.
Demographics
Demographics Daytona beach vs Rincon provide insight into the diversity of the communities to compare.
| Demographic | Daytona beach | Rincon |
|---|---|---|
| Black | 30 | 19 |
| White | 52 | 69 |
| Asian | 3 | 2 |
| Hispanic | 10 | 6 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Daytona beach vs Rincon
- A higher percentage of Black residents are in Daytona beach at 30% compared to 19% in Rincon.
- The percentage of White residents is higher in Rincon at 69% compared to 52% in Daytona beach.
- The Asian population is larger in Daytona beach at 3% compared to 2% in Rincon.
- The Hispanic community is larger in Daytona beach at 10% compared to 6% in Rincon.
- More residents identify as two or more races in Daytona beach at 5% compared to 4% in Rincon.
- The percentage of American Indian residents is the same in both Daytona beach and Rincon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Daytona beach | Rincon |
|---|---|---|
| Mental Health Not Good | 17.9% | 16.3% |
| Physical Health Not Good | 13.9% | 11.2% |
| Depression | 20.8% | 20.6% |
| Smoking | 25.2% | 16.2% |
| Binge Drinking | 16.0% | 15.9% |
| Obesity | 38.5% | 37.7% |
| Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Daytona beach vs Rincon
- More residents in Daytona beach report poor mental health at 17.9% compared to 16.3% in Rincon.
- Depression is more prevalent in Daytona beach at 20.8% compared to 20.6% in Rincon.
- Smoking is more prevalent in Daytona beach at 25.2% compared to 16.2% in Rincon.
- Binge drinking is more common in Daytona beach at 16.0% compared to 15.9% in Rincon.
- Obesity rates are higher in Daytona beach at 38.5% compared to 37.7% in Rincon.
- Disability percentages are higher in Daytona beach at 17.0% compared to 9.0% in Rincon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Daytona beach | Rincon |
|---|---|---|
| No Schooling | 1.4% (1,065) | 0.5% (57) |
| High School Diploma | 17.5% (13,654) | 11.3% (1,274) |
| Less than High School | 11.3% (8,833) | 8.0% (905) |
| Bachelor's Degree and Higher | 16.5% (12,881) | 15.6% (1,754) |
Education Levels Comparison: Daytona beach vs Rincon
- A higher percentage of residents in Daytona beach have no formal schooling at 1.4% compared to 0.5% in Rincon.
- A higher percentage of residents in Daytona beach hold a high school diploma at 17.5% compared to 11.3% in Rincon.
- More residents in Daytona beach have less than a high school education at 11.3% compared to 8.0% in Rincon.
- A higher percentage of residents in Daytona beach hold a bachelor's degree or higher at 16.5% compared to 15.6% in Rincon.
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.