Demographics details for Franklin, GA vs Blytheville, AR
Population Overview
Compare main population characteristics in Franklin, GA vs Blytheville, AR.
Data | Franklin | Blytheville |
---|---|---|
Population | 24,128 | 12,706 |
Median Age | 40.9 years | 38.1 years |
Median Income | $52,597 | $45,746 |
Married Families | 39.0% | 33.0% |
Poverty Level | 13% | 21% |
Unemployment Rate | 4.8 | 4.2 |
Population Comparison: Franklin vs Blytheville
- In Franklin, the population is higher at 24,128, compared to 12,706 in Blytheville.
- Residents in Franklin have a higher median age of 40.9 years compared to 38.1 years in Blytheville.
- Franklin has a higher median income of $52,597 compared to $45,746 in Blytheville.
- A higher percentage of married families is found in Franklin at 39.0% compared to 33.0% in Blytheville.
- The poverty level is higher in Blytheville at 21%, compared to 13% in Franklin.
- The unemployment rate in Franklin is higher at 4.8%, compared to 4.2% in Blytheville.
Demographics
Demographics Franklin vs Blytheville provide insight into the diversity of the communities to compare.
Demographic | Franklin | Blytheville |
---|---|---|
Black | 9 | 64 |
White | 81 | 29 |
Asian | 1 | Data is updating |
Hispanic | 5 | 5 |
Two or More Races | 3 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Franklin vs Blytheville
- In Blytheville, the percentage of Black residents is higher at 64% compared to 9% in Franklin.
- Franklin has a higher percentage of White residents at 81% compared to 29% in Blytheville.
- The Asian population is larger in Franklin at 1% compared to 0% in Blytheville.
- The percentage of Hispanic residents is the same in both Franklin and Blytheville at 5%.
- More residents identify as two or more races in Franklin at 3% compared to 2% in Blytheville.
- A greater percentage of American Indian residents live in Franklin at 1% compared to 0% in Blytheville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Franklin | Blytheville |
---|---|---|
Mental Health Not Good | 18.1% | 20.8% |
Physical Health Not Good | 13.2% | 16.0% |
Depression | 23.4% | 24.9% |
Smoking | 19.9% | 26.3% |
Binge Drinking | 16.2% | 12.2% |
Obesity | 37.7% | 42.0% |
Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Franklin vs Blytheville
- In Blytheville, a higher percentage report poor mental health at 20.8% compared to 18.1% in Franklin.
- Higher depression rates are seen in Blytheville at 24.9% versus 23.4% in Franklin.
- Blytheville has a higher smoking rate at 26.3% compared to 19.9% in Franklin.
- Binge drinking is more common in Franklin at 16.2% compared to 12.2% in Blytheville.
- Blytheville has higher obesity rates at 42.0% compared to 37.7% in Franklin.
- Disability percentages are higher in Franklin at 17.0% compared to 15.0% in Blytheville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Franklin | Blytheville |
---|---|---|
No Schooling | 1.6% (394) | 1.0% (133) |
High School Diploma | 16.4% (3,969) | 24.0% (3,051) |
Less than High School | 23.7% (5,721) | 12.5% (1,585) |
Bachelor's Degree and Higher | 11.1% (2,688) | 10.6% (1,349) |
Education Levels Comparison: Franklin vs Blytheville
- A higher percentage of residents in Franklin have no formal schooling at 1.6% compared to 1.0% in Blytheville.
- In Blytheville, the rate of residents with high school diplomas is higher at 24.0% compared to 16.4% in Franklin.
- More residents in Franklin have less than a high school education at 23.7% compared to 12.5% in Blytheville.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 11.1% compared to 10.6% in Blytheville.
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.