Demographics details for Buffalo, WV vs Franklin, IN
Population Overview
Compare main population characteristics in Buffalo, WV vs Franklin, IN.
| Data | Buffalo | Franklin |
|---|---|---|
| Population | 1,205 | 25,728 |
| Median Age | 42.5 years | 34.4 years |
| Median Income | $46,389 | $72,344 |
| Married Families | 41.0% | 38.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Buffalo vs Franklin
- The population in Franklin is higher at 25,728, compared to 1,205 in Buffalo.
- Residents in Buffalo have a higher median age of 42.5 years compared to 34.4 years in Franklin.
- Franklin has a higher median income of $72,344, compared to $46,389 in Buffalo.
- A higher percentage of married families is found in Buffalo at 41.0% compared to 38.0% in Franklin.
- Buffalo has a higher poverty level at 10% compared to 9% in Franklin.
- The unemployment rate in Buffalo is higher at 4.5%, compared to 4.1% in Franklin.
Demographics
Demographics Buffalo vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Buffalo | Franklin |
|---|---|---|
| Black | Data is updating | 4 |
| White | 100 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 3 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Buffalo vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 0% in Buffalo.
- Buffalo has a higher percentage of White residents at 100% compared to 87% in Franklin.
- In Franklin, the Asian population stands at 1%, greater than 0% in Buffalo.
- Franklin has a higher percentage of Hispanic residents at 3%, compared to 0% in Buffalo.
- The percentage of residents identifying as two or more races is higher in Franklin at 5%, compared to 0% in Buffalo.
- The percentage of American Indian residents is the same in both Buffalo and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Buffalo | Franklin |
|---|---|---|
| Mental Health Not Good | 20.5% | 17.7% |
| Physical Health Not Good | 14.1% | 11.4% |
| Depression | 28.2% | 28.9% |
| Smoking | 22.1% | 19.2% |
| Binge Drinking | 14.8% | 16.9% |
| Obesity | 46.5% | 41.6% |
| Disability Percentage | 12.0% | 12.0% |
Health Statistics Comparison: Buffalo vs Franklin
- More residents in Buffalo report poor mental health at 20.5% compared to 17.7% in Franklin.
- Higher depression rates are seen in Franklin at 28.9% versus 28.2% in Buffalo.
- Smoking is more prevalent in Buffalo at 22.1% compared to 19.2% in Franklin.
- More residents engage in binge drinking in Franklin at 16.9% compared to 14.8% in Buffalo.
- Obesity rates are higher in Buffalo at 46.5% compared to 41.6% in Franklin.
- Disability percentages are the same in both Buffalo and Franklin at 12.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Buffalo | Franklin |
|---|---|---|
| No Schooling | 0.8% (10) | 0.6% (148) |
| High School Diploma | 30.1% (363) | 19.1% (4,910) |
| Less than High School | 7.1% (86) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 9.5% (114) | 13.4% (3,460) |
Education Levels Comparison: Buffalo vs Franklin
- A higher percentage of residents in Buffalo have no formal schooling at 0.8% compared to 0.6% in Franklin.
- A higher percentage of residents in Buffalo hold a high school diploma at 30.1% compared to 19.1% in Franklin.
- The percentage of residents with less than a high school education is higher in Franklin at 8.9%, compared to 7.1% in Buffalo.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 13.4% compared to 9.5% in Buffalo.
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.