Demographics details for What cheer, IA vs Franklin, IN
Population Overview
Compare main population characteristics in What cheer, IA vs Franklin, IN.
| Data | What cheer | Franklin |
|---|---|---|
| Population | 597 | 25,728 |
| Median Age | 34.8 years | 34.4 years |
| Median Income | $45,500 | $72,344 |
| Married Families | 45.0% | 38.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.9 | 4.1 |
Population Comparison: What cheer vs Franklin
- The population in Franklin is higher at 25,728, compared to 597 in What cheer.
- Residents in What cheer have a higher median age of 34.8 years compared to 34.4 years in Franklin.
- Franklin has a higher median income of $72,344, compared to $45,500 in What cheer.
- A higher percentage of married families is found in What cheer at 45.0% compared to 38.0% in Franklin.
- What cheer has a higher poverty level at 12% compared to 9% in Franklin.
- Franklin has a higher unemployment rate at 4.1% compared to 3.9% in What cheer.
Demographics
Demographics What cheer vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | What cheer | Franklin |
|---|---|---|
| Black | 3 | 4 |
| White | 87 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 3 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: What cheer vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 3% in What cheer.
- The percentage of White residents is the same in both What cheer and Franklin at 87%.
- In Franklin, the Asian population stands at 1%, greater than 0% in What cheer.
- The Hispanic community is larger in What cheer at 6% compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Franklin at 5%, compared to 4% in What cheer.
- The percentage of American Indian residents is the same in both What cheer and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | What cheer | Franklin |
|---|---|---|
| Mental Health Not Good | 17.0% | 17.7% |
| Physical Health Not Good | 11.3% | 11.4% |
| Depression | 20.1% | 28.9% |
| Smoking | 21.2% | 19.2% |
| Binge Drinking | 21.0% | 16.9% |
| Obesity | 40.1% | 41.6% |
| Disability Percentage | 30.0% | 12.0% |
Health Statistics Comparison: What cheer vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 17.0% in What cheer.
- Higher depression rates are seen in Franklin at 28.9% versus 20.1% in What cheer.
- Smoking is more prevalent in What cheer at 21.2% compared to 19.2% in Franklin.
- Binge drinking is more common in What cheer at 21.0% compared to 16.9% in Franklin.
- Franklin has higher obesity rates at 41.6% compared to 40.1% in What cheer.
- Disability percentages are higher in What cheer at 30.0% 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 | What cheer | Franklin |
|---|---|---|
| No Schooling | 1.5% (9) | 0.6% (148) |
| High School Diploma | 31.8% (190) | 19.1% (4,910) |
| Less than High School | 11.9% (71) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 5.0% (30) | 13.4% (3,460) |
Education Levels Comparison: What cheer vs Franklin
- A higher percentage of residents in What cheer have no formal schooling at 1.5% compared to 0.6% in Franklin.
- A higher percentage of residents in What cheer hold a high school diploma at 31.8% compared to 19.1% in Franklin.
- More residents in What cheer have less than a high school education at 11.9% compared to 8.9% in Franklin.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 13.4% compared to 5.0% in What cheer.
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.