Demographics details for Manhattan, KS vs Honea path, SC
Population Overview
Compare main population characteristics in Manhattan, KS vs Honea path, SC.
| Data | Manhattan | Honea path |
|---|---|---|
| Population | 53,829 | 3,788 |
| Median Age | 24.7 years | 46.5 years |
| Median Income | $55,316 | $50,375 |
| Married Families | 29.0% | 37.0% |
| Poverty Level | 15% | 15% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Manhattan vs Honea path
- In Manhattan, the population is higher at 53,829, compared to 3,788 in Honea path.
- The median age in Honea path is higher at 46.5 years, compared to 24.7 years in Manhattan.
- Manhattan has a higher median income of $55,316 compared to $50,375 in Honea path.
- In Honea path, the percentage of married families is higher at 37.0%, compared to 29.0% in Manhattan.
- The poverty level is identical in both Manhattan and Honea path at 15%.
- The unemployment rate in Manhattan is higher at 3.8%, compared to 3.5% in Honea path.
Demographics
Demographics Manhattan vs Honea path provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Honea path |
|---|---|---|
| Black | 5 | 12 |
| White | 74 | 84 |
| Asian | 5 | Data is updating |
| Hispanic | 8 | Data is updating |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Honea path
- In Honea path, the percentage of Black residents is higher at 12% compared to 5% in Manhattan.
- The percentage of White residents is higher in Honea path at 84% compared to 74% in Manhattan.
- The Asian population is larger in Manhattan at 5% compared to 0% in Honea path.
- The Hispanic community is larger in Manhattan at 8% compared to 0% in Honea path.
- More residents identify as two or more races in Manhattan at 7% compared to 4% in Honea path.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Honea path.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Honea path |
|---|---|---|
| Mental Health Not Good | 15.7% | 18.7% |
| Physical Health Not Good | 10.1% | 12.7% |
| Depression | 20.2% | 23.6% |
| Smoking | 16.0% | 19.7% |
| Binge Drinking | 20.6% | 17.1% |
| Obesity | 32.2% | 37.2% |
| Disability Percentage | 12.0% | 25.0% |
Health Statistics Comparison: Manhattan vs Honea path
- In Honea path, a higher percentage report poor mental health at 18.7% compared to 15.7% in Manhattan.
- Higher depression rates are seen in Honea path at 23.6% versus 20.2% in Manhattan.
- Honea path has a higher smoking rate at 19.7% compared to 16.0% in Manhattan.
- Binge drinking is more common in Manhattan at 20.6% compared to 17.1% in Honea path.
- Honea path has higher obesity rates at 37.2% compared to 32.2% in Manhattan.
- There is a higher percentage of disabled individuals in Honea path at 25.0% 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 | Manhattan | Honea path |
|---|---|---|
| No Schooling | 0.5% (256) | 1.2% (46) |
| High School Diploma | 5.8% (3,138) | 17.6% (667) |
| Less than High School | 4.2% (2,256) | 22.2% (841) |
| Bachelor's Degree and Higher | 26.0% (14,017) | 16.0% (606) |
Education Levels Comparison: Manhattan vs Honea path
- In Honea path, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Manhattan.
- In Honea path, the rate of residents with high school diplomas is higher at 17.6% compared to 5.8% in Manhattan.
- The percentage of residents with less than a high school education is higher in Honea path at 22.2%, compared to 4.2% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 16.0% in Honea path.
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.