Demographics details for Green bay, WI vs Franklin, GA
Population Overview
Compare main population characteristics in Green bay, WI vs Franklin, GA.
| Data | Green bay | Franklin |
|---|---|---|
| Population | 106,095 | 24,128 |
| Median Age | 35.6 years | 40.9 years |
| Median Income | $59,174 | $52,597 |
| Married Families | 34.0% | 39.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.2 | 4.8 |
Population Comparison: Green bay vs Franklin
- In Green bay, the population is higher at 106,095, compared to 24,128 in Franklin.
- The median age in Franklin is higher at 40.9 years, compared to 35.6 years in Green bay.
- Green bay has a higher median income of $59,174 compared to $52,597 in Franklin.
- In Franklin, the percentage of married families is higher at 39.0%, compared to 34.0% in Green bay.
- The poverty level is higher in Franklin at 13%, compared to 10% in Green bay.
- Franklin has a higher unemployment rate at 4.8% compared to 3.2% in Green bay.
Demographics
Demographics Green bay vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Green bay | Franklin |
|---|---|---|
| Black | 4 | 9 |
| White | 61 | 81 |
| Asian | 4 | 1 |
| Hispanic | 17 | 5 |
| Two or More Races | 11 | 3 |
| American Indian | 3 | 1 |
Demographics Comparison: Green bay vs Franklin
- In Franklin, the percentage of Black residents is higher at 9% compared to 4% in Green bay.
- The percentage of White residents is higher in Franklin at 81% compared to 61% in Green bay.
- The Asian population is larger in Green bay at 4% compared to 1% in Franklin.
- The Hispanic community is larger in Green bay at 17% compared to 5% in Franklin.
- More residents identify as two or more races in Green bay at 11% compared to 3% in Franklin.
- A greater percentage of American Indian residents live in Green bay at 3% compared to 1% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green bay | Franklin |
|---|---|---|
| Mental Health Not Good | 15.3% | 18.1% |
| Physical Health Not Good | 11.0% | 13.2% |
| Depression | 22.1% | 23.4% |
| Smoking | 16.8% | 19.9% |
| Binge Drinking | 22.8% | 16.2% |
| Obesity | 38.0% | 37.7% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Green bay vs Franklin
- In Franklin, a higher percentage report poor mental health at 18.1% compared to 15.3% in Green bay.
- Higher depression rates are seen in Franklin at 23.4% versus 22.1% in Green bay.
- Franklin has a higher smoking rate at 19.9% compared to 16.8% in Green bay.
- Binge drinking is more common in Green bay at 22.8% compared to 16.2% in Franklin.
- Obesity rates are higher in Green bay at 38.0% compared to 37.7% in Franklin.
- There is a higher percentage of disabled individuals in Franklin at 17.0% compared to 14.0% in Green bay.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green bay | Franklin |
|---|---|---|
| No Schooling | 1.7% (1,796) | 1.6% (394) |
| High School Diploma | 18.1% (19,183) | 16.4% (3,969) |
| Less than High School | 14.0% (14,805) | 23.7% (5,721) |
| Bachelor's Degree and Higher | 16.6% (17,606) | 11.1% (2,688) |
Education Levels Comparison: Green bay vs Franklin
- A higher percentage of residents in Green bay have no formal schooling at 1.7% compared to 1.6% in Franklin.
- A higher percentage of residents in Green bay hold a high school diploma at 18.1% compared to 16.4% in Franklin.
- The percentage of residents with less than a high school education is higher in Franklin at 23.7%, compared to 14.0% in Green bay.
- A higher percentage of residents in Green bay hold a bachelor's degree or higher at 16.6% compared to 11.1% in Franklin.
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.