Demographics details for Rockholds, KY vs Franklin, GA
Population Overview
Compare main population characteristics in Rockholds, KY vs Franklin, GA.
Data | Rockholds | Franklin |
---|---|---|
Population | 369 | 24,128 |
Median Age | 46.1 years | 40.9 years |
Median Income | $42,063 | $52,597 |
Married Families | 43.0% | 39.0% |
Poverty Level | 15% | 13% |
Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Rockholds vs Franklin
- The population in Franklin is higher at 24,128, compared to 369 in Rockholds.
- Residents in Rockholds have a higher median age of 46.1 years compared to 40.9 years in Franklin.
- Franklin has a higher median income of $52,597, compared to $42,063 in Rockholds.
- A higher percentage of married families is found in Rockholds at 43.0% compared to 39.0% in Franklin.
- Rockholds has a higher poverty level at 15% compared to 13% in Franklin.
- Franklin has a higher unemployment rate at 4.8% compared to 4.5% in Rockholds.
Demographics
Demographics Rockholds vs Franklin provide insight into the diversity of the communities to compare.
Demographic | Rockholds | Franklin |
---|---|---|
Black | Data is updating | 9 |
White | 100 | 81 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 5 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Rockholds vs Franklin
- In Franklin, the percentage of Black residents is higher at 9% compared to 0% in Rockholds.
- Rockholds has a higher percentage of White residents at 100% compared to 81% in Franklin.
- In Franklin, the Asian population stands at 1%, greater than 0% in Rockholds.
- Franklin has a higher percentage of Hispanic residents at 5%, compared to 0% in Rockholds.
- The percentage of residents identifying as two or more races is higher in Franklin at 3%, compared to 0% in Rockholds.
- In Franklin, the percentage of American Indian residents is higher at 1%, compared to 0% in Rockholds.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rockholds | Franklin |
---|---|---|
Mental Health Not Good | 22.4% | 18.1% |
Physical Health Not Good | 17.4% | 13.2% |
Depression | 32.6% | 23.4% |
Smoking | 28.7% | 19.9% |
Binge Drinking | 14.0% | 16.2% |
Obesity | 43.5% | 37.7% |
Disability Percentage | 40.0% | 17.0% |
Health Statistics Comparison: Rockholds vs Franklin
- More residents in Rockholds report poor mental health at 22.4% compared to 18.1% in Franklin.
- Depression is more prevalent in Rockholds at 32.6% compared to 23.4% in Franklin.
- Smoking is more prevalent in Rockholds at 28.7% compared to 19.9% in Franklin.
- More residents engage in binge drinking in Franklin at 16.2% compared to 14.0% in Rockholds.
- Obesity rates are higher in Rockholds at 43.5% compared to 37.7% in Franklin.
- Disability percentages are higher in Rockholds at 40.0% 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 | Rockholds | Franklin |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.6% (394) |
High School Diploma | 39.8% (147) | 16.4% (3,969) |
Less than High School | 32.5% (120) | 23.7% (5,721) |
Bachelor's Degree and Higher | 2.7% (10) | 11.1% (2,688) |
Education Levels Comparison: Rockholds vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Rockholds.
- A higher percentage of residents in Rockholds hold a high school diploma at 39.8% compared to 16.4% in Franklin.
- More residents in Rockholds have less than a high school education at 32.5% compared to 23.7% in Franklin.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 11.1% compared to 2.7% in Rockholds.
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.