Demographics details for Franklin, TX vs Erskine, MN
Population Overview
Compare main population characteristics in Franklin, TX vs Erskine, MN.
| Data | Franklin | Erskine |
|---|---|---|
| Population | 10,618 | 393 |
| Median Age | 42.9 years | 39.5 years |
| Median Income | $67,915 | $26,000 |
| Married Families | 42.0% | 37.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.6 | 4.2 |
Population Comparison: Franklin vs Erskine
- In Franklin, the population is higher at 10,618, compared to 393 in Erskine.
- Residents in Franklin have a higher median age of 42.9 years compared to 39.5 years in Erskine.
- Franklin has a higher median income of $67,915 compared to $26,000 in Erskine.
- A higher percentage of married families is found in Franklin at 42.0% compared to 37.0% in Erskine.
- Franklin has a higher poverty level at 12% compared to 0% in Erskine.
- The unemployment rate in Franklin is higher at 4.6%, compared to 4.2% in Erskine.
Demographics
Demographics Franklin vs Erskine provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Erskine |
|---|---|---|
| Black | 4 | Data is updating |
| White | 69 | 80 |
| Asian | Data is updating | 3 |
| Hispanic | 15 | 10 |
| Two or More Races | 12 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Franklin vs Erskine
- A higher percentage of Black residents are in Franklin at 4% compared to 0% in Erskine.
- The percentage of White residents is higher in Erskine at 80% compared to 69% in Franklin.
- In Erskine, the Asian population stands at 3%, greater than 0% in Franklin.
- The Hispanic community is larger in Franklin at 15% compared to 10% in Erskine.
- More residents identify as two or more races in Franklin at 12% compared to 7% in Erskine.
- The percentage of American Indian residents is the same in both Franklin and Erskine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Erskine |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.6% |
| Physical Health Not Good | 10.3% | 10.0% |
| Depression | 23.5% | 24.3% |
| Smoking | 14.8% | 19.9% |
| Binge Drinking | 19.8% | 21.9% |
| Obesity | 33.2% | 39.8% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Franklin vs Erskine
- More residents in Franklin report poor mental health at 16.3% compared to 15.6% in Erskine.
- Higher depression rates are seen in Erskine at 24.3% versus 23.5% in Franklin.
- Erskine has a higher smoking rate at 19.9% compared to 14.8% in Franklin.
- More residents engage in binge drinking in Erskine at 21.9% compared to 19.8% in Franklin.
- Erskine has higher obesity rates at 39.8% compared to 33.2% in Franklin.
- There is a higher percentage of disabled individuals in Erskine at 20.0% compared to 15.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Erskine |
|---|---|---|
| No Schooling | 0.5% (51) | 1.3% (5) |
| High School Diploma | 15.0% (1,588) | 33.8% (133) |
| Less than High School | 11.3% (1,197) | 18.3% (72) |
| Bachelor's Degree and Higher | 21.2% (2,251) | 4.3% (17) |
Education Levels Comparison: Franklin vs Erskine
- In Erskine, a larger percentage of residents lack formal schooling at 1.3% compared to 0.5% in Franklin.
- In Erskine, the rate of residents with high school diplomas is higher at 33.8% compared to 15.0% in Franklin.
- The percentage of residents with less than a high school education is higher in Erskine at 18.3%, compared to 11.3% in Franklin.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 21.2% compared to 4.3% in Erskine.
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.