Demographics details for Franklin, IN vs Pocatello, ID
Population Overview
Compare main population characteristics in Franklin, IN vs Pocatello, ID.
| Data | Franklin | Pocatello |
|---|---|---|
| Population | 25,728 | 57,730 |
| Median Age | 34.4 years | 32.9 years |
| Median Income | $72,344 | $56,115 |
| Married Families | 38.0% | 35.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 4.1 | 3.6 |
Population Comparison: Franklin vs Pocatello
- The population in Pocatello is higher at 57,730, compared to 25,728 in Franklin.
- Residents in Franklin have a higher median age of 34.4 years compared to 32.9 years in Pocatello.
- Franklin has a higher median income of $72,344 compared to $56,115 in Pocatello.
- A higher percentage of married families is found in Franklin at 38.0% compared to 35.0% in Pocatello.
- The poverty level is higher in Pocatello at 15%, compared to 9% in Franklin.
- The unemployment rate in Franklin is higher at 4.1%, compared to 3.6% in Pocatello.
Demographics
Demographics Franklin vs Pocatello provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Pocatello |
|---|---|---|
| Black | 4 | 1 |
| White | 87 | 81 |
| Asian | 1 | 2 |
| Hispanic | 3 | 9 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Franklin vs Pocatello
- A higher percentage of Black residents are in Franklin at 4% compared to 1% in Pocatello.
- Franklin has a higher percentage of White residents at 87% compared to 81% in Pocatello.
- In Pocatello, the Asian population stands at 2%, greater than 1% in Franklin.
- Pocatello has a higher percentage of Hispanic residents at 9%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Pocatello at 6%, compared to 5% in Franklin.
- In Pocatello, the percentage of American Indian residents is higher at 1%, compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin | Pocatello |
|---|---|---|
| Mental Health Not Good | 17.7% | 17.5% |
| Physical Health Not Good | 11.4% | 12.2% |
| Depression | 28.9% | 24.3% |
| Smoking | 19.2% | 17.9% |
| Binge Drinking | 16.9% | 14.0% |
| Obesity | 41.6% | 38.5% |
| Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Franklin vs Pocatello
- More residents in Franklin report poor mental health at 17.7% compared to 17.5% in Pocatello.
- Depression is more prevalent in Franklin at 28.9% compared to 24.3% in Pocatello.
- Smoking is more prevalent in Franklin at 19.2% compared to 17.9% in Pocatello.
- Binge drinking is more common in Franklin at 16.9% compared to 14.0% in Pocatello.
- Obesity rates are higher in Franklin at 41.6% compared to 38.5% in Pocatello.
- There is a higher percentage of disabled individuals in Pocatello at 16.0% 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 | Pocatello |
|---|---|---|
| No Schooling | 0.6% (148) | 0.3% (164) |
| High School Diploma | 19.1% (4,910) | 11.7% (6,767) |
| Less than High School | 8.9% (2,296) | 7.9% (4,589) |
| Bachelor's Degree and Higher | 13.4% (3,460) | 19.5% (11,240) |
Education Levels Comparison: Franklin vs Pocatello
- A higher percentage of residents in Franklin have no formal schooling at 0.6% compared to 0.3% in Pocatello.
- A higher percentage of residents in Franklin hold a high school diploma at 19.1% compared to 11.7% in Pocatello.
- More residents in Franklin have less than a high school education at 8.9% compared to 7.9% in Pocatello.
- In Pocatello, a larger share of residents have a bachelor's degree or higher at 19.5% compared to 13.4% 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.