Demographics details for Franklin, IN vs Picayune, MS
Population Overview
Compare main population characteristics in Franklin, IN vs Picayune, MS.
| Data | Franklin | Picayune |
|---|---|---|
| Population | 25,728 | 11,826 |
| Median Age | 34.4 years | 38.3 years |
| Median Income | $72,344 | $35,649 |
| Married Families | 38.0% | 27.0% |
| Poverty Level | 9% | 21% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Franklin vs Picayune
- In Franklin, the population is higher at 25,728, compared to 11,826 in Picayune.
- The median age in Picayune is higher at 38.3 years, compared to 34.4 years in Franklin.
- Franklin has a higher median income of $72,344 compared to $35,649 in Picayune.
- A higher percentage of married families is found in Franklin at 38.0% compared to 27.0% in Picayune.
- The poverty level is higher in Picayune at 21%, compared to 9% in Franklin.
- Picayune has a higher unemployment rate at 4.5% compared to 4.1% in Franklin.
Demographics
Demographics Franklin vs Picayune provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Picayune |
|---|---|---|
| Black | 4 | 38 |
| White | 87 | 55 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 2 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Franklin vs Picayune
- In Picayune, the percentage of Black residents is higher at 38% compared to 4% in Franklin.
- Franklin has a higher percentage of White residents at 87% compared to 55% in Picayune.
- The Asian population is larger in Franklin at 1% compared to 0% in Picayune.
- The Hispanic community is larger in Franklin at 3% compared to 2% in Picayune.
- Both Franklin and Picayune have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Franklin and Picayune at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Picayune |
|---|---|---|
| Mental Health Not Good | 17.7% | 18.4% |
| Physical Health Not Good | 11.4% | 14.3% |
| Depression | 28.9% | 24.0% |
| Smoking | 19.2% | 23.3% |
| Binge Drinking | 16.9% | 13.3% |
| Obesity | 41.6% | 44.0% |
| Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: Franklin vs Picayune
- In Picayune, a higher percentage report poor mental health at 18.4% compared to 17.7% in Franklin.
- Depression is more prevalent in Franklin at 28.9% compared to 24.0% in Picayune.
- Picayune has a higher smoking rate at 23.3% compared to 19.2% in Franklin.
- Binge drinking is more common in Franklin at 16.9% compared to 13.3% in Picayune.
- Picayune has higher obesity rates at 44.0% compared to 41.6% in Franklin.
- There is a higher percentage of disabled individuals in Picayune at 21.0% compared to 12.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Picayune |
|---|---|---|
| No Schooling | 0.6% (148) | 0.6% (73) |
| High School Diploma | 19.1% (4,910) | 17.8% (2,108) |
| Less than High School | 8.9% (2,296) | 11.8% (1,392) |
| Bachelor's Degree and Higher | 13.4% (3,460) | 10.1% (1,200) |
Education Levels Comparison: Franklin vs Picayune
- The percentage of residents with no formal schooling is the same in both Franklin and Picayune at 0.6%.
- A higher percentage of residents in Franklin hold a high school diploma at 19.1% compared to 17.8% in Picayune.
- The percentage of residents with less than a high school education is higher in Picayune at 11.8%, compared to 8.9% in Franklin.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 13.4% compared to 10.1% in Picayune.
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.