Demographics details for Manhattan, MT vs Aulander, NC
Population Overview
Compare main population characteristics in Manhattan, MT vs Aulander, NC.
| Data | Manhattan | Aulander |
|---|---|---|
| Population | 2,120 | 727 |
| Median Age | 39.6 years | 42.4 years |
| Median Income | $57,045 | $33,250 |
| Married Families | 37.0% | 23.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 4.2 | 6.1 |
Population Comparison: Manhattan vs Aulander
- In Manhattan, the population is higher at 2,120, compared to 727 in Aulander.
- The median age in Aulander is higher at 42.4 years, compared to 39.6 years in Manhattan.
- Manhattan has a higher median income of $57,045 compared to $33,250 in Aulander.
- A higher percentage of married families is found in Manhattan at 37.0% compared to 23.0% in Aulander.
- The poverty level is higher in Aulander at 14%, compared to 10% in Manhattan.
- Aulander has a higher unemployment rate at 6.1% compared to 4.2% in Manhattan.
Demographics
Demographics Manhattan vs Aulander provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Aulander |
|---|---|---|
| Black | Data is updating | 61 |
| White | 94 | 38 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 3 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Aulander
- In Aulander, the percentage of Black residents is higher at 61% compared to 0% in Manhattan.
- Manhattan has a higher percentage of White residents at 94% compared to 38% in Aulander.
- Both Manhattan and Aulander have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Manhattan at 2% compared to 0% in Aulander.
- More residents identify as two or more races in Manhattan at 3% compared to 1% in Aulander.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Aulander.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Aulander |
|---|---|---|
| Mental Health Not Good | 14.4% | 19.2% |
| Physical Health Not Good | 9.0% | 14.7% |
| Depression | 22.7% | 23.5% |
| Smoking | 13.5% | 23.9% |
| Binge Drinking | 24.2% | 14.2% |
| Obesity | 24.2% | 44.9% |
| Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Manhattan vs Aulander
- In Aulander, a higher percentage report poor mental health at 19.2% compared to 14.4% in Manhattan.
- Higher depression rates are seen in Aulander at 23.5% versus 22.7% in Manhattan.
- Aulander has a higher smoking rate at 23.9% compared to 13.5% in Manhattan.
- Binge drinking is more common in Manhattan at 24.2% compared to 14.2% in Aulander.
- Aulander has higher obesity rates at 44.9% compared to 24.2% in Manhattan.
- There is a higher percentage of disabled individuals in Aulander at 16.0% 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 | Aulander |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (3) |
| High School Diploma | 15.3% (325) | 13.3% (97) |
| Less than High School | 0.6% (12) | 28.5% (207) |
| Bachelor's Degree and Higher | 18.5% (392) | 2.9% (21) |
Education Levels Comparison: Manhattan vs Aulander
- In Aulander, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Manhattan.
- A higher percentage of residents in Manhattan hold a high school diploma at 15.3% compared to 13.3% in Aulander.
- The percentage of residents with less than a high school education is higher in Aulander at 28.5%, compared to 0.6% in Manhattan.
- A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 18.5% compared to 2.9% in Aulander.
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.