Demographics details for Forest city, NC vs Franklin, GA
Population Overview
Compare main population characteristics in Forest city, NC vs Franklin, GA.
Data | Forest city | Franklin |
---|---|---|
Population | 7,358 | 24,128 |
Median Age | 32.8 years | 40.9 years |
Median Income | $35,232 | $52,597 |
Married Families | 21.0% | 39.0% |
Poverty Level | 11% | 13% |
Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Forest city vs Franklin
- The population in Franklin is higher at 24,128, compared to 7,358 in Forest city.
- The median age in Franklin is higher at 40.9 years, compared to 32.8 years in Forest city.
- Franklin has a higher median income of $52,597, compared to $35,232 in Forest city.
- In Franklin, the percentage of married families is higher at 39.0%, compared to 21.0% in Forest city.
- The poverty level is higher in Franklin at 13%, compared to 11% in Forest city.
- Franklin has a higher unemployment rate at 4.8% compared to 4.5% in Forest city.
Demographics
Demographics Forest city vs Franklin provide insight into the diversity of the communities to compare.
Demographic | Forest city | Franklin |
---|---|---|
Black | 28 | 9 |
White | 57 | 81 |
Asian | 2 | 1 |
Hispanic | 8 | 5 |
Two or More Races | 5 | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Forest city vs Franklin
- A higher percentage of Black residents are in Forest city at 28% compared to 9% in Franklin.
- The percentage of White residents is higher in Franklin at 81% compared to 57% in Forest city.
- The Asian population is larger in Forest city at 2% compared to 1% in Franklin.
- The Hispanic community is larger in Forest city at 8% compared to 5% in Franklin.
- More residents identify as two or more races in Forest city at 5% compared to 3% in Franklin.
- In Franklin, the percentage of American Indian residents is higher at 1%, compared to 0% in Forest city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forest city | Franklin |
---|---|---|
Mental Health Not Good | 19.0% | 18.1% |
Physical Health Not Good | 14.4% | 13.2% |
Depression | 24.4% | 23.4% |
Smoking | 22.1% | 19.9% |
Binge Drinking | 15.2% | 16.2% |
Obesity | 41.2% | 37.7% |
Disability Percentage | 23.0% | 17.0% |
Health Statistics Comparison: Forest city vs Franklin
- More residents in Forest city report poor mental health at 19.0% compared to 18.1% in Franklin.
- Depression is more prevalent in Forest city at 24.4% compared to 23.4% in Franklin.
- Smoking is more prevalent in Forest city at 22.1% compared to 19.9% in Franklin.
- More residents engage in binge drinking in Franklin at 16.2% compared to 15.2% in Forest city.
- Obesity rates are higher in Forest city at 41.2% compared to 37.7% in Franklin.
- Disability percentages are higher in Forest city at 23.0% compared to 17.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Forest city | Franklin |
---|---|---|
No Schooling | 0.9% (63) | 1.6% (394) |
High School Diploma | 15.5% (1,140) | 16.4% (3,969) |
Less than High School | 13.0% (956) | 23.7% (5,721) |
Bachelor's Degree and Higher | 10.7% (785) | 11.1% (2,688) |
Education Levels Comparison: Forest city vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 1.6% compared to 0.9% in Forest city.
- In Franklin, the rate of residents with high school diplomas is higher at 16.4% compared to 15.5% in Forest city.
- The percentage of residents with less than a high school education is higher in Franklin at 23.7%, compared to 13.0% in Forest city.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 11.1% compared to 10.7% in Forest city.
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.