Demographics details for Franklin, NE vs Dushore, PA
Population Overview
Compare main population characteristics in Franklin, NE vs Dushore, PA.
| Data | Franklin | Dushore |
|---|---|---|
| Population | 2,873 | 454 |
| Median Age | 49.8 years | 60.8 years |
| Median Income | $55,625 | $32,250 |
| Married Families | 51.0% | 32.0% |
| Poverty Level | Data is updating | 11% |
| Unemployment Rate | 3.2 | 5.3 |
Population Comparison: Franklin vs Dushore
- In Franklin, the population is higher at 2,873, compared to 454 in Dushore.
- The median age in Dushore is higher at 60.8 years, compared to 49.8 years in Franklin.
- Franklin has a higher median income of $55,625 compared to $32,250 in Dushore.
- A higher percentage of married families is found in Franklin at 51.0% compared to 32.0% in Dushore.
- The poverty level is higher in Dushore at 11%, compared to 0% in Franklin.
- Dushore has a higher unemployment rate at 5.3% compared to 3.2% in Franklin.
Demographics
Demographics Franklin vs Dushore provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Dushore |
|---|---|---|
| Black | Data is updating | 1 |
| White | 94 | 98 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 1 |
| Two or More Races | 2 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Franklin vs Dushore
- In Dushore, the percentage of Black residents is higher at 1% compared to 0% in Franklin.
- The percentage of White residents is higher in Dushore at 98% compared to 94% in Franklin.
- Both Franklin and Dushore have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Franklin at 3% compared to 1% in Dushore.
- More residents identify as two or more races in Franklin at 2% compared to 0% in Dushore.
- A greater percentage of American Indian residents live in Franklin at 1% compared to 0% in Dushore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Dushore |
|---|---|---|
| Mental Health Not Good | 15.4% | 18.6% |
| Physical Health Not Good | 10.8% | 13.0% |
| Depression | 18.5% | 25.7% |
| Smoking | 19.6% | 22.4% |
| Binge Drinking | 20.2% | 18.0% |
| Obesity | 43.8% | 36.6% |
| Disability Percentage | 18.0% | 31.0% |
Health Statistics Comparison: Franklin vs Dushore
- In Dushore, a higher percentage report poor mental health at 18.6% compared to 15.4% in Franklin.
- Higher depression rates are seen in Dushore at 25.7% versus 18.5% in Franklin.
- Dushore has a higher smoking rate at 22.4% compared to 19.6% in Franklin.
- Binge drinking is more common in Franklin at 20.2% compared to 18.0% in Dushore.
- Obesity rates are higher in Franklin at 43.8% compared to 36.6% in Dushore.
- There is a higher percentage of disabled individuals in Dushore at 31.0% 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 | Dushore |
|---|---|---|
| No Schooling | 0.2% (6) | 0.4% (2) |
| High School Diploma | 21.8% (627) | 28.4% (129) |
| Less than High School | 10.1% (289) | 25.6% (116) |
| Bachelor's Degree and Higher | 14.5% (416) | 17.6% (80) |
Education Levels Comparison: Franklin vs Dushore
- In Dushore, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Franklin.
- In Dushore, the rate of residents with high school diplomas is higher at 28.4% compared to 21.8% in Franklin.
- The percentage of residents with less than a high school education is higher in Dushore at 25.6%, compared to 10.1% in Franklin.
- In Dushore, a larger share of residents have a bachelor's degree or higher at 17.6% compared to 14.5% in Franklin.
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.