Demographics details for Franklin, NE vs Yellville, AR
Population Overview
Compare main population characteristics in Franklin, NE vs Yellville, AR.
Data | Franklin | Yellville |
---|---|---|
Population | 2,873 | 1,170 |
Median Age | 49.8 years | 33.2 years |
Median Income | $55,625 | $33,983 |
Married Families | 51.0% | 34.0% |
Poverty Level | Data is updating | 18% |
Unemployment Rate | 3.2 | 3.7 |
Population Comparison: Franklin vs Yellville
- In Franklin, the population is higher at 2,873, compared to 1,170 in Yellville.
- Residents in Franklin have a higher median age of 49.8 years compared to 33.2 years in Yellville.
- Franklin has a higher median income of $55,625 compared to $33,983 in Yellville.
- A higher percentage of married families is found in Franklin at 51.0% compared to 34.0% in Yellville.
- The poverty level is higher in Yellville at 18%, compared to 0% in Franklin.
- Yellville has a higher unemployment rate at 3.7% compared to 3.2% in Franklin.
Demographics
Demographics Franklin vs Yellville provide insight into the diversity of the communities to compare.
Demographic | Franklin | Yellville |
---|---|---|
Black | Data is updating | 6 |
White | 94 | 81 |
Asian | Data is updating | 1 |
Hispanic | 3 | 4 |
Two or More Races | 2 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Franklin vs Yellville
- In Yellville, the percentage of Black residents is higher at 6% compared to 0% in Franklin.
- Franklin has a higher percentage of White residents at 94% compared to 81% in Yellville.
- In Yellville, the Asian population stands at 1%, greater than 0% in Franklin.
- Yellville has a higher percentage of Hispanic residents at 4%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Yellville at 8%, compared to 2% in Franklin.
- A greater percentage of American Indian residents live in Franklin at 1% compared to 0% in Yellville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Franklin | Yellville |
---|---|---|
Mental Health Not Good | 15.4% | 22.5% |
Physical Health Not Good | 10.8% | 16.6% |
Depression | 18.5% | 29.9% |
Smoking | 19.6% | 27.4% |
Binge Drinking | 20.2% | 14.6% |
Obesity | 43.8% | 39.9% |
Disability Percentage | 18.0% | 21.0% |
Health Statistics Comparison: Franklin vs Yellville
- In Yellville, a higher percentage report poor mental health at 22.5% compared to 15.4% in Franklin.
- Higher depression rates are seen in Yellville at 29.9% versus 18.5% in Franklin.
- Yellville has a higher smoking rate at 27.4% compared to 19.6% in Franklin.
- Binge drinking is more common in Franklin at 20.2% compared to 14.6% in Yellville.
- Obesity rates are higher in Franklin at 43.8% compared to 39.9% in Yellville.
- There is a higher percentage of disabled individuals in Yellville at 21.0% compared to 18.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Franklin | Yellville |
---|---|---|
No Schooling | 0.2% (6) | 0.5% (6) |
High School Diploma | 21.8% (627) | 24.1% (282) |
Less than High School | 10.1% (289) | 16.3% (191) |
Bachelor's Degree and Higher | 14.5% (416) | 7.2% (84) |
Education Levels Comparison: Franklin vs Yellville
- In Yellville, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in Franklin.
- In Yellville, the rate of residents with high school diplomas is higher at 24.1% compared to 21.8% in Franklin.
- The percentage of residents with less than a high school education is higher in Yellville at 16.3%, compared to 10.1% in Franklin.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 14.5% compared to 7.2% in Yellville.
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.