Demographics details for Manhattan, MT vs Oak harbor, OH
Population Overview
Compare main population characteristics in Manhattan, MT vs Oak harbor, OH.
| Data | Manhattan | Oak harbor |
|---|---|---|
| Population | 2,120 | 2,797 |
| Median Age | 39.6 years | 37.9 years |
| Median Income | $57,045 | $50,362 |
| Married Families | 37.0% | 31.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Manhattan vs Oak harbor
- The population in Oak harbor is higher at 2,797, compared to 2,120 in Manhattan.
- Residents in Manhattan have a higher median age of 39.6 years compared to 37.9 years in Oak harbor.
- Manhattan has a higher median income of $57,045 compared to $50,362 in Oak harbor.
- A higher percentage of married families is found in Manhattan at 37.0% compared to 31.0% in Oak harbor.
- Manhattan has a higher poverty level at 10% compared to 8% in Oak harbor.
- Oak harbor has a higher unemployment rate at 4.5% compared to 4.2% in Manhattan.
Demographics
Demographics Manhattan vs Oak harbor provide insight into the diversity of the communities to compare.
| Demographic | Manhattan | Oak harbor |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 94 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 4 |
| Two or More Races | 3 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Manhattan vs Oak harbor
- The percentage of Black residents is the same in both Manhattan and Oak harbor at 0%.
- The percentage of White residents is the same in both Manhattan and Oak harbor at 94%.
- In Oak harbor, the Asian population stands at 1%, greater than 0% in Manhattan.
- Oak harbor has a higher percentage of Hispanic residents at 4%, compared to 2% in Manhattan.
- More residents identify as two or more races in Manhattan at 3% compared to 1% in Oak harbor.
- A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Oak harbor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Manhattan | Oak harbor |
|---|---|---|
| Mental Health Not Good | 14.4% | 18.4% |
| Physical Health Not Good | 9.0% | 12.3% |
| Depression | 22.7% | 25.1% |
| Smoking | 13.5% | 21.7% |
| Binge Drinking | 24.2% | 18.4% |
| Obesity | 24.2% | 38.9% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Manhattan vs Oak harbor
- In Oak harbor, a higher percentage report poor mental health at 18.4% compared to 14.4% in Manhattan.
- Higher depression rates are seen in Oak harbor at 25.1% versus 22.7% in Manhattan.
- Oak harbor has a higher smoking rate at 21.7% compared to 13.5% in Manhattan.
- Binge drinking is more common in Manhattan at 24.2% compared to 18.4% in Oak harbor.
- Oak harbor has higher obesity rates at 38.9% compared to 24.2% in Manhattan.
- There is a higher percentage of disabled individuals in Oak harbor at 15.0% 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 | Oak harbor |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 15.3% (325) | 19.1% (534) |
| Less than High School | 0.6% (12) | 4.6% (130) |
| Bachelor's Degree and Higher | 18.5% (392) | 13.3% (372) |
Education Levels Comparison: Manhattan vs Oak harbor
- The percentage of residents with no formal schooling is the same in both Manhattan and Oak harbor at 0.0%.
- In Oak harbor, the rate of residents with high school diplomas is higher at 19.1% compared to 15.3% in Manhattan.
- The percentage of residents with less than a high school education is higher in Oak harbor at 4.6%, 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 13.3% in Oak harbor.
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.