Demographics details for Six mile, SC vs Manhattan, KS
Population Overview
Compare main population characteristics in Six mile, SC vs Manhattan, KS.
| Data | Six mile | Manhattan |
|---|---|---|
| Population | 756 | 53,829 |
| Median Age | 33.4 years | 24.7 years |
| Median Income | $103,750 | $55,316 |
| Married Families | 63.0% | 29.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 4.0 | 3.8 |
Population Comparison: Six mile vs Manhattan
- The population in Manhattan is higher at 53,829, compared to 756 in Six mile.
- Residents in Six mile have a higher median age of 33.4 years compared to 24.7 years in Manhattan.
- Six mile has a higher median income of $103,750 compared to $55,316 in Manhattan.
- A higher percentage of married families is found in Six mile at 63.0% compared to 29.0% in Manhattan.
- The poverty level is higher in Manhattan at 15%, compared to 10% in Six mile.
- The unemployment rate in Six mile is higher at 4.0%, compared to 3.8% in Manhattan.
Demographics
Demographics Six mile vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | Six mile | Manhattan |
|---|---|---|
| Black | Data is updating | 5 |
| White | 96 | 74 |
| Asian | Data is updating | 5 |
| Hispanic | 1 | 8 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Six mile vs Manhattan
- In Manhattan, the percentage of Black residents is higher at 5% compared to 0% in Six mile.
- Six mile has a higher percentage of White residents at 96% compared to 74% in Manhattan.
- In Manhattan, the Asian population stands at 5%, greater than 0% in Six mile.
- Manhattan has a higher percentage of Hispanic residents at 8%, compared to 1% in Six mile.
- The percentage of residents identifying as two or more races is higher in Manhattan at 7%, compared to 3% in Six mile.
- In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in Six mile.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Six mile | Manhattan |
|---|---|---|
| Mental Health Not Good | 16.9% | 15.7% |
| Physical Health Not Good | 10.7% | 10.1% |
| Depression | 24.5% | 20.2% |
| Smoking | 17.2% | 16.0% |
| Binge Drinking | 18.4% | 20.6% |
| Obesity | 30.4% | 32.2% |
| Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Six mile vs Manhattan
- More residents in Six mile report poor mental health at 16.9% compared to 15.7% in Manhattan.
- Depression is more prevalent in Six mile at 24.5% compared to 20.2% in Manhattan.
- Smoking is more prevalent in Six mile at 17.2% compared to 16.0% in Manhattan.
- More residents engage in binge drinking in Manhattan at 20.6% compared to 18.4% in Six mile.
- Manhattan has higher obesity rates at 32.2% compared to 30.4% in Six mile.
- Disability percentages are higher in Six mile at 20.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Six mile | Manhattan |
|---|---|---|
| No Schooling | 1.1% (8) | 0.5% (256) |
| High School Diploma | 12.0% (91) | 5.8% (3,138) |
| Less than High School | 6.6% (50) | 4.2% (2,256) |
| Bachelor's Degree and Higher | 45.2% (342) | 26.0% (14,017) |
Education Levels Comparison: Six mile vs Manhattan
- A higher percentage of residents in Six mile have no formal schooling at 1.1% compared to 0.5% in Manhattan.
- A higher percentage of residents in Six mile hold a high school diploma at 12.0% compared to 5.8% in Manhattan.
- More residents in Six mile have less than a high school education at 6.6% compared to 4.2% in Manhattan.
- A higher percentage of residents in Six mile hold a bachelor's degree or higher at 45.2% compared to 26.0% in Manhattan.
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.