Demographics details for Pierre, SD vs Franklin, IN
Population Overview
Compare main population characteristics in Pierre, SD vs Franklin, IN.
| Data | Pierre | Franklin |
|---|---|---|
| Population | 13,969 | 25,728 |
| Median Age | 39.6 years | 34.4 years |
| Median Income | $80,473 | $72,344 |
| Married Families | 38.0% | 38.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 2.6 | 4.1 |
Population Comparison: Pierre vs Franklin
- The population in Franklin is higher at 25,728, compared to 13,969 in Pierre.
- Residents in Pierre have a higher median age of 39.6 years compared to 34.4 years in Franklin.
- Pierre has a higher median income of $80,473 compared to $72,344 in Franklin.
- The percentage of married families is the same in both Pierre and Franklin at 38.0%.
- Pierre has a higher poverty level at 10% compared to 9% in Franklin.
- Franklin has a higher unemployment rate at 4.1% compared to 2.6% in Pierre.
Demographics
Demographics Pierre vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Pierre | Franklin |
|---|---|---|
| Black | Data is updating | 4 |
| White | 79 | 87 |
| Asian | 1 | 1 |
| Hispanic | 4 | 3 |
| Two or More Races | 6 | 5 |
| American Indian | 10 | Data is updating |
Demographics Comparison: Pierre vs Franklin
- In Franklin, the percentage of Black residents is higher at 4% compared to 0% in Pierre.
- The percentage of White residents is higher in Franklin at 87% compared to 79% in Pierre.
- Both Pierre and Franklin have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Pierre at 4% compared to 3% in Franklin.
- More residents identify as two or more races in Pierre at 6% compared to 5% in Franklin.
- A greater percentage of American Indian residents live in Pierre at 10% compared to 0% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pierre | Franklin |
|---|---|---|
| Mental Health Not Good | 13.5% | 17.7% |
| Physical Health Not Good | 9.2% | 11.4% |
| Depression | 17.5% | 28.9% |
| Smoking | 16.6% | 19.2% |
| Binge Drinking | 19.7% | 16.9% |
| Obesity | 36.2% | 41.6% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Pierre vs Franklin
- In Franklin, a higher percentage report poor mental health at 17.7% compared to 13.5% in Pierre.
- Higher depression rates are seen in Franklin at 28.9% versus 17.5% in Pierre.
- Franklin has a higher smoking rate at 19.2% compared to 16.6% in Pierre.
- Binge drinking is more common in Pierre at 19.7% compared to 16.9% in Franklin.
- Franklin has higher obesity rates at 41.6% compared to 36.2% in Pierre.
- Disability percentages are higher in Pierre at 13.0% 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 | Pierre | Franklin |
|---|---|---|
| No Schooling | 0.2% (23) | 0.6% (148) |
| High School Diploma | 15.8% (2,201) | 19.1% (4,910) |
| Less than High School | 3.5% (495) | 8.9% (2,296) |
| Bachelor's Degree and Higher | 24.2% (3,384) | 13.4% (3,460) |
Education Levels Comparison: Pierre vs Franklin
- In Franklin, a larger percentage of residents lack formal schooling at 0.6% compared to 0.2% in Pierre.
- In Franklin, the rate of residents with high school diplomas is higher at 19.1% compared to 15.8% in Pierre.
- The percentage of residents with less than a high school education is higher in Franklin at 8.9%, compared to 3.5% in Pierre.
- A higher percentage of residents in Pierre hold a bachelor's degree or higher at 24.2% 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.