Demographics details for Hanover, MI vs Sublimity, OR
Population Overview
Compare main population characteristics in Hanover, MI vs Sublimity, OR.
| Data | Hanover | Sublimity |
|---|---|---|
| Population | 474 | 2,942 |
| Median Age | 37.0 years | 51.8 years |
| Median Income | $65,250 | $74,875 |
| Married Families | 31.0% | 46.0% |
| Poverty Level | 10% | 6% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Hanover vs Sublimity
- The population in Sublimity is higher at 2,942, compared to 474 in Hanover.
- The median age in Sublimity is higher at 51.8 years, compared to 37.0 years in Hanover.
- Sublimity has a higher median income of $74,875, compared to $65,250 in Hanover.
- In Sublimity, the percentage of married families is higher at 46.0%, compared to 31.0% in Hanover.
- Hanover has a higher poverty level at 10% compared to 6% in Sublimity.
- The unemployment rate in Hanover is higher at 3.5%, compared to 3.2% in Sublimity.
Demographics
Demographics Hanover vs Sublimity provide insight into the diversity of the communities to compare.
| Demographic | Hanover | Sublimity |
|---|---|---|
| Black | 3 | Data is updating |
| White | 89 | 85 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 10 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hanover vs Sublimity
- A higher percentage of Black residents are in Hanover at 3% compared to 0% in Sublimity.
- Hanover has a higher percentage of White residents at 89% compared to 85% in Sublimity.
- In Sublimity, the Asian population stands at 1%, greater than 0% in Hanover.
- Sublimity has a higher percentage of Hispanic residents at 10%, compared to 3% in Hanover.
- More residents identify as two or more races in Hanover at 5% compared to 4% in Sublimity.
- The percentage of American Indian residents is the same in both Hanover and Sublimity at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hanover | Sublimity |
|---|---|---|
| Mental Health Not Good | 17.7% | 18.3% |
| Physical Health Not Good | 10.6% | 11.1% |
| Depression | 25.8% | 29.6% |
| Smoking | 18.5% | 15.9% |
| Binge Drinking | 17.9% | 17.4% |
| Obesity | 34.2% | 34.8% |
| Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Hanover vs Sublimity
- In Sublimity, a higher percentage report poor mental health at 18.3% compared to 17.7% in Hanover.
- Higher depression rates are seen in Sublimity at 29.6% versus 25.8% in Hanover.
- Smoking is more prevalent in Hanover at 18.5% compared to 15.9% in Sublimity.
- Binge drinking is more common in Hanover at 17.9% compared to 17.4% in Sublimity.
- Sublimity has higher obesity rates at 34.8% compared to 34.2% in Hanover.
- Disability percentages are higher in Hanover at 17.0% compared to 14.0% in Sublimity.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hanover | Sublimity |
|---|---|---|
| No Schooling | 0.4% (2) | 1.4% (42) |
| High School Diploma | 29.5% (140) | 17.2% (507) |
| Less than High School | 2.7% (13) | 9.2% (272) |
| Bachelor's Degree and Higher | 6.1% (29) | 23.6% (695) |
Education Levels Comparison: Hanover vs Sublimity
- In Sublimity, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Hanover.
- A higher percentage of residents in Hanover hold a high school diploma at 29.5% compared to 17.2% in Sublimity.
- The percentage of residents with less than a high school education is higher in Sublimity at 9.2%, compared to 2.7% in Hanover.
- In Sublimity, a larger share of residents have a bachelor's degree or higher at 23.6% compared to 6.1% in Hanover.
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.