Demographics details for Franklin, IN vs Mountain home, ID
Population Overview
Compare main population characteristics in Franklin, IN vs Mountain home, ID.
| Data | Franklin | Mountain home |
|---|---|---|
| Population | 25,728 | 16,469 |
| Median Age | 34.4 years | 31.3 years |
| Median Income | $72,344 | $53,108 |
| Married Families | 38.0% | 36.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 4.1 | 3.1 |
Population Comparison: Franklin vs Mountain home
- In Franklin, the population is higher at 25,728, compared to 16,469 in Mountain home.
- Residents in Franklin have a higher median age of 34.4 years compared to 31.3 years in Mountain home.
- Franklin has a higher median income of $72,344 compared to $53,108 in Mountain home.
- A higher percentage of married families is found in Franklin at 38.0% compared to 36.0% in Mountain home.
- The poverty level is higher in Mountain home at 12%, compared to 9% in Franklin.
- The unemployment rate in Franklin is higher at 4.1%, compared to 3.1% in Mountain home.
Demographics
Demographics Franklin vs Mountain home provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Mountain home |
|---|---|---|
| Black | 4 | 2 |
| White | 87 | 69 |
| Asian | 1 | 4 |
| Hispanic | 3 | 14 |
| Two or More Races | 5 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Franklin vs Mountain home
- A higher percentage of Black residents are in Franklin at 4% compared to 2% in Mountain home.
- Franklin has a higher percentage of White residents at 87% compared to 69% in Mountain home.
- In Mountain home, the Asian population stands at 4%, greater than 1% in Franklin.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 5% in Franklin.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Mountain home |
|---|---|---|
| Mental Health Not Good | 17.7% | 16.9% |
| Physical Health Not Good | 11.4% | 12.6% |
| Depression | 28.9% | 22.4% |
| Smoking | 19.2% | 18.3% |
| Binge Drinking | 16.9% | 15.8% |
| Obesity | 41.6% | 36.1% |
| Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Franklin vs Mountain home
- More residents in Franklin report poor mental health at 17.7% compared to 16.9% in Mountain home.
- Depression is more prevalent in Franklin at 28.9% compared to 22.4% in Mountain home.
- Smoking is more prevalent in Franklin at 19.2% compared to 18.3% in Mountain home.
- Binge drinking is more common in Franklin at 16.9% compared to 15.8% in Mountain home.
- Obesity rates are higher in Franklin at 41.6% compared to 36.1% in Mountain home.
- There is a higher percentage of disabled individuals in Mountain home at 18.0% 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 | Mountain home |
|---|---|---|
| No Schooling | 0.6% (148) | 1.7% (273) |
| High School Diploma | 19.1% (4,910) | 16.3% (2,690) |
| Less than High School | 8.9% (2,296) | 12.8% (2,116) |
| Bachelor's Degree and Higher | 13.4% (3,460) | 10.4% (1,720) |
Education Levels Comparison: Franklin vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.6% in Franklin.
- A higher percentage of residents in Franklin hold a high school diploma at 19.1% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, 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 10.4% in Mountain home.
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.