Demographics details for Franklin, TX vs Indian head, MD
Population Overview
Compare main population characteristics in Franklin, TX vs Indian head, MD.
| Data | Franklin | Indian head |
|---|---|---|
| Population | 10,618 | 4,025 |
| Median Age | 42.9 years | 37.5 years |
| Median Income | $67,915 | $77,948 |
| Married Families | 42.0% | 24.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 4.6 | 3.5 |
Population Comparison: Franklin vs Indian head
- In Franklin, the population is higher at 10,618, compared to 4,025 in Indian head.
- Residents in Franklin have a higher median age of 42.9 years compared to 37.5 years in Indian head.
- Indian head has a higher median income of $77,948, compared to $67,915 in Franklin.
- A higher percentage of married families is found in Franklin at 42.0% compared to 24.0% in Indian head.
- Franklin has a higher poverty level at 12% compared to 9% in Indian head.
- The unemployment rate in Franklin is higher at 4.6%, compared to 3.5% in Indian head.
Demographics
Demographics Franklin vs Indian head provide insight into the diversity of the communities to compare.
| Demographic | Franklin | Indian head |
|---|---|---|
| Black | 4 | 62 |
| White | 69 | 26 |
| Asian | Data is updating | 3 |
| Hispanic | 15 | 5 |
| Two or More Races | 12 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Franklin vs Indian head
- In Indian head, the percentage of Black residents is higher at 62% compared to 4% in Franklin.
- Franklin has a higher percentage of White residents at 69% compared to 26% in Indian head.
- In Indian head, the Asian population stands at 3%, greater than 0% in Franklin.
- The Hispanic community is larger in Franklin at 15% compared to 5% in Indian head.
- More residents identify as two or more races in Franklin at 12% compared to 3% in Indian head.
- In Indian head, 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 | Indian head |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.9% |
| Physical Health Not Good | 10.3% | 10.9% |
| Depression | 23.5% | 17.0% |
| Smoking | 14.8% | 16.4% |
| Binge Drinking | 19.8% | 15.1% |
| Obesity | 33.2% | 44.5% |
| Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Franklin vs Indian head
- More residents in Franklin report poor mental health at 16.3% compared to 15.9% in Indian head.
- Depression is more prevalent in Franklin at 23.5% compared to 17.0% in Indian head.
- Indian head has a higher smoking rate at 16.4% compared to 14.8% in Franklin.
- Binge drinking is more common in Franklin at 19.8% compared to 15.1% in Indian head.
- Indian head has higher obesity rates at 44.5% compared to 33.2% in Franklin.
- Disability percentages are higher in Franklin at 15.0% compared to 14.0% in Indian head.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin | Indian head |
|---|---|---|
| No Schooling | 0.5% (51) | 0.0% (Data is updating) |
| High School Diploma | 15.0% (1,588) | 27.9% (1,123) |
| Less than High School | 11.3% (1,197) | 4.5% (183) |
| Bachelor's Degree and Higher | 21.2% (2,251) | 10.9% (437) |
Education Levels Comparison: Franklin vs Indian head
- A higher percentage of residents in Franklin have no formal schooling at 0.5% compared to 0.0% in Indian head.
- In Indian head, the rate of residents with high school diplomas is higher at 27.9% compared to 15.0% in Franklin.
- More residents in Franklin have less than a high school education at 11.3% compared to 4.5% in Indian head.
- A higher percentage of residents in Franklin hold a bachelor's degree or higher at 21.2% compared to 10.9% in Indian head.
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.