Demographics details for Daytona beach, FL vs Madison, GA
Population Overview
Compare main population characteristics in Daytona beach, FL vs Madison, GA.
| Data | Daytona beach | Madison |
|---|---|---|
| Population | 77,958 | 31,473 |
| Median Age | 40.2 years | 40.2 years |
| Median Income | $47,608 | $53,626 |
| Married Families | 27.0% | 39.0% |
| Poverty Level | 15% | 9% |
| Unemployment Rate | 5.0 | 3.8 |
Population Comparison: Daytona beach vs Madison
- In Daytona beach, the population is higher at 77,958, compared to 31,473 in Madison.
- The median age is the same in both Daytona beach and Madison at 40.2 years.
- Madison has a higher median income of $53,626, compared to $47,608 in Daytona beach.
- In Madison, the percentage of married families is higher at 39.0%, compared to 27.0% in Daytona beach.
- Daytona beach has a higher poverty level at 15% compared to 9% in Madison.
- The unemployment rate in Daytona beach is higher at 5.0%, compared to 3.8% in Madison.
Demographics
Demographics Daytona beach vs Madison provide insight into the diversity of the communities to compare.
| Demographic | Daytona beach | Madison |
|---|---|---|
| Black | 30 | 8 |
| White | 52 | 79 |
| Asian | 3 | 2 |
| Hispanic | 10 | 6 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Daytona beach vs Madison
- A higher percentage of Black residents are in Daytona beach at 30% compared to 8% in Madison.
- The percentage of White residents is higher in Madison at 79% compared to 52% in Daytona beach.
- The Asian population is larger in Daytona beach at 3% compared to 2% in Madison.
- The Hispanic community is larger in Daytona beach at 10% compared to 6% in Madison.
- Both Daytona beach and Madison have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Daytona beach and Madison at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Daytona beach | Madison |
|---|---|---|
| Mental Health Not Good | 17.9% | 18.3% |
| Physical Health Not Good | 13.9% | 13.9% |
| Depression | 20.8% | 23.4% |
| Smoking | 25.2% | 20.8% |
| Binge Drinking | 16.0% | 15.8% |
| Obesity | 38.5% | 37.1% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Daytona beach vs Madison
- In Madison, a higher percentage report poor mental health at 18.3% compared to 17.9% in Daytona beach.
- Higher depression rates are seen in Madison at 23.4% versus 20.8% in Daytona beach.
- Smoking is more prevalent in Daytona beach at 25.2% compared to 20.8% in Madison.
- Binge drinking is more common in Daytona beach at 16.0% compared to 15.8% in Madison.
- Obesity rates are higher in Daytona beach at 38.5% compared to 37.1% in Madison.
- Disability percentages are the same in both Daytona beach and Madison at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Daytona beach | Madison |
|---|---|---|
| No Schooling | 1.4% (1,065) | 1.6% (490) |
| High School Diploma | 17.5% (13,654) | 18.1% (5,703) |
| Less than High School | 11.3% (8,833) | 20.2% (6,371) |
| Bachelor's Degree and Higher | 16.5% (12,881) | 12.9% (4,075) |
Education Levels Comparison: Daytona beach vs Madison
- In Madison, a larger percentage of residents lack formal schooling at 1.6% compared to 1.4% in Daytona beach.
- In Madison, the rate of residents with high school diplomas is higher at 18.1% compared to 17.5% in Daytona beach.
- The percentage of residents with less than a high school education is higher in Madison at 20.2%, compared to 11.3% in Daytona beach.
- A higher percentage of residents in Daytona beach hold a bachelor's degree or higher at 16.5% compared to 12.9% in Madison.
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.