Demographics details for Helen, GA vs Manhattan, KS
Population Overview
Compare main population characteristics in Helen, GA vs Manhattan, KS.
| Data | Helen | Manhattan |
|---|---|---|
| Population | 578 | 53,829 |
| Median Age | 60.2 years | 24.7 years |
| Median Income | $74,375 | $55,316 |
| Married Families | 46.0% | 29.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 4.4 | 3.8 |
Population Comparison: Helen vs Manhattan
- The population in Manhattan is higher at 53,829, compared to 578 in Helen.
- Residents in Helen have a higher median age of 60.2 years compared to 24.7 years in Manhattan.
- Helen has a higher median income of $74,375 compared to $55,316 in Manhattan.
- A higher percentage of married families is found in Helen at 46.0% compared to 29.0% in Manhattan.
- The poverty level is higher in Manhattan at 15%, compared to 8% in Helen.
- The unemployment rate in Helen is higher at 4.4%, compared to 3.8% in Manhattan.
Demographics
Demographics Helen vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | Helen | Manhattan |
|---|---|---|
| Black | Data is updating | 5 |
| White | 91 | 74 |
| Asian | 7 | 5 |
| Hispanic | Data is updating | 8 |
| Two or More Races | 2 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Helen vs Manhattan
- In Manhattan, the percentage of Black residents is higher at 5% compared to 0% in Helen.
- Helen has a higher percentage of White residents at 91% compared to 74% in Manhattan.
- The Asian population is larger in Helen at 7% compared to 5% in Manhattan.
- Manhattan has a higher percentage of Hispanic residents at 8%, compared to 0% in Helen.
- The percentage of residents identifying as two or more races is higher in Manhattan at 7%, compared to 2% in Helen.
- In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in Helen.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Helen | Manhattan |
|---|---|---|
| Mental Health Not Good | 14.9% | 15.7% |
| Physical Health Not Good | 9.6% | 10.1% |
| Depression | 21.8% | 20.2% |
| Smoking | 12.8% | 16.0% |
| Binge Drinking | 17.1% | 20.6% |
| Obesity | 28.6% | 32.2% |
| Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Helen vs Manhattan
- In Manhattan, a higher percentage report poor mental health at 15.7% compared to 14.9% in Helen.
- Depression is more prevalent in Helen at 21.8% compared to 20.2% in Manhattan.
- Manhattan has a higher smoking rate at 16.0% compared to 12.8% in Helen.
- More residents engage in binge drinking in Manhattan at 20.6% compared to 17.1% in Helen.
- Manhattan has higher obesity rates at 32.2% compared to 28.6% in Helen.
- Disability percentages are higher in Helen at 18.0% 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 | Helen | Manhattan |
|---|---|---|
| No Schooling | 0.3% (2) | 0.5% (256) |
| High School Diploma | 11.6% (67) | 5.8% (3,138) |
| Less than High School | 6.4% (37) | 4.2% (2,256) |
| Bachelor's Degree and Higher | 28.4% (164) | 26.0% (14,017) |
Education Levels Comparison: Helen vs Manhattan
- In Manhattan, a larger percentage of residents lack formal schooling at 0.5% compared to 0.3% in Helen.
- A higher percentage of residents in Helen hold a high school diploma at 11.6% compared to 5.8% in Manhattan.
- More residents in Helen have less than a high school education at 6.4% compared to 4.2% in Manhattan.
- A higher percentage of residents in Helen hold a bachelor's degree or higher at 28.4% 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.