Demographics details for Dahlonega, GA vs Franklin, WI
Population Overview
Compare main population characteristics in Dahlonega, GA vs Franklin, WI.
| Data | Dahlonega | Franklin |
|---|---|---|
| Population | 7,461 | 36,066 |
| Median Age | 21.8 years | 44.3 years |
| Median Income | $57,941 | $100,524 |
| Married Families | 28.0% | 50.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Dahlonega vs Franklin
- The population in Franklin is higher at 36,066, compared to 7,461 in Dahlonega.
- The median age in Franklin is higher at 44.3 years, compared to 21.8 years in Dahlonega.
- Franklin has a higher median income of $100,524, compared to $57,941 in Dahlonega.
- In Franklin, the percentage of married families is higher at 50.0%, compared to 28.0% in Dahlonega.
- Dahlonega has a higher poverty level at 12% compared to 5% in Franklin.
- The unemployment rate is the same in both Dahlonega and Franklin at 3.2%.
Demographics
Demographics Dahlonega vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Dahlonega | Franklin |
|---|---|---|
| Black | 5 | 4 |
| White | 84 | 80 |
| Asian | Data is updating | 6 |
| Hispanic | 6 | 6 |
| Two or More Races | 4 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dahlonega vs Franklin
- A higher percentage of Black residents are in Dahlonega at 5% compared to 4% in Franklin.
- Dahlonega has a higher percentage of White residents at 84% compared to 80% in Franklin.
- In Franklin, the Asian population stands at 6%, greater than 0% in Dahlonega.
- The percentage of Hispanic residents is the same in both Dahlonega and Franklin at 6%.
- Both Dahlonega and Franklin have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Dahlonega at 1% compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dahlonega | Franklin |
|---|---|---|
| Mental Health Not Good | 17.8% | 13.4% |
| Physical Health Not Good | 13.0% | 7.9% |
| Depression | 23.9% | 21.9% |
| Smoking | 19.4% | 12.8% |
| Binge Drinking | 16.7% | 27.0% |
| Obesity | 34.9% | 30.9% |
| Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Dahlonega vs Franklin
- More residents in Dahlonega report poor mental health at 17.8% compared to 13.4% in Franklin.
- Depression is more prevalent in Dahlonega at 23.9% compared to 21.9% in Franklin.
- Smoking is more prevalent in Dahlonega at 19.4% compared to 12.8% in Franklin.
- More residents engage in binge drinking in Franklin at 27.0% compared to 16.7% in Dahlonega.
- Obesity rates are higher in Dahlonega at 34.9% compared to 30.9% in Franklin.
- Disability percentages are higher in Dahlonega at 12.0% compared to 8.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dahlonega | Franklin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (98) |
| High School Diploma | 7.5% (556) | 15.5% (5,595) |
| Less than High School | 3.2% (236) | 6.8% (2,462) |
| Bachelor's Degree and Higher | 20.8% (1,554) | 31.8% (11,484) |
Education Levels Comparison: Dahlonega vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Dahlonega.
- In Franklin, the rate of residents with high school diplomas is higher at 15.5% compared to 7.5% in Dahlonega.
- The percentage of residents with less than a high school education is higher in Franklin at 6.8%, compared to 3.2% in Dahlonega.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 20.8% in Dahlonega.
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.