Demographics details for Armstrong, IA vs Franklin, IN
Population Overview
Compare main population characteristics in Armstrong, IA vs Franklin, IN.
| Data | Armstrong | Franklin |
|---|---|---|
| Population | 845 | 25,728 |
| Median Age | 59.6 years | 34.4 years |
| Median Income | $49,338 | $72,344 |
| Married Families | 32.0% | 38.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 2.5 | 4.1 |
Population Comparison: Armstrong vs Franklin
- The population in Franklin is higher at 25,728, compared to 845 in Armstrong.
- Residents in Armstrong have a higher median age of 59.6 years compared to 34.4 years in Franklin.
- Franklin has a higher median income of $72,344, compared to $49,338 in Armstrong.
- In Franklin, the percentage of married families is higher at 38.0%, compared to 32.0% in Armstrong.
- Armstrong has a higher poverty level at 10% compared to 9% in Franklin.
- Franklin has a higher unemployment rate at 4.1% compared to 2.5% in Armstrong.
Demographics
Demographics Armstrong vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Armstrong | Franklin |
|---|---|---|
| Black | 1 | 4 |
| White | 96 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 3 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Armstrong vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 1% in Armstrong.
- Armstrong has a higher percentage of White residents at 96% compared to 87% in Franklin.
- In Franklin, the Asian population stands at 1%, greater than 0% in Armstrong.
- Franklin has a higher percentage of Hispanic residents at 3%, compared to 1% in Armstrong.
- The percentage of residents identifying as two or more races is higher in Franklin at 5%, compared to 2% in Armstrong.
- The percentage of American Indian residents is the same in both Armstrong and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Armstrong | Franklin |
|---|---|---|
| Mental Health Not Good | 16.7% | 17.7% |
| Physical Health Not Good | 10.7% | 11.4% |
| Depression | 20.7% | 28.9% |
| Smoking | 19.9% | 19.2% |
| Binge Drinking | 21.5% | 16.9% |
| Obesity | 39.8% | 41.6% |
| Disability Percentage | 21.0% | 12.0% |
Health Statistics Comparison: Armstrong vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 16.7% in Armstrong.
- Higher depression rates are seen in Franklin at 28.9% versus 20.7% in Armstrong.
- Smoking is more prevalent in Armstrong at 19.9% compared to 19.2% in Franklin.
- Binge drinking is more common in Armstrong at 21.5% compared to 16.9% in Franklin.
- Franklin has higher obesity rates at 41.6% compared to 39.8% in Armstrong.
- Disability percentages are higher in Armstrong 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 | Armstrong | Franklin |
|---|---|---|
| No Schooling | 0.9% (8) | 0.6% (148) |
| High School Diploma | 32.1% (271) | 19.1% (4,910) |
| Less than High School | 6.6% (56) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 8.6% (73) | 13.4% (3,460) |
Education Levels Comparison: Armstrong vs Franklin
- A higher percentage of residents in Armstrong have no formal schooling at 0.9% compared to 0.6% in Franklin.
- A higher percentage of residents in Armstrong hold a high school diploma at 32.1% compared to 19.1% in Franklin.
- The percentage of residents with less than a high school education is higher in Franklin at 8.9%, compared to 6.6% in Armstrong.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 13.4% compared to 8.6% in Armstrong.
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.