Demographics details for Whitehall, PA vs Hanover, MI
Population Overview
Compare main population characteristics in Whitehall, PA vs Hanover, MI.
| Data | Whitehall | Hanover |
|---|---|---|
| Population | 14,785 | 474 |
| Median Age | 44.8 years | 37.0 years |
| Median Income | $77,752 | $65,250 |
| Married Families | 45.0% | 31.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Whitehall vs Hanover
- In Whitehall, the population is higher at 14,785, compared to 474 in Hanover.
- Residents in Whitehall have a higher median age of 44.8 years compared to 37.0 years in Hanover.
- Whitehall has a higher median income of $77,752 compared to $65,250 in Hanover.
- A higher percentage of married families is found in Whitehall at 45.0% compared to 31.0% in Hanover.
- The poverty level is higher in Hanover at 10%, compared to 8% in Whitehall.
- The unemployment rate in Whitehall is higher at 4.5%, compared to 3.5% in Hanover.
Demographics
Demographics Whitehall vs Hanover provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Hanover |
|---|---|---|
| Black | 4 | 3 |
| White | 78 | 89 |
| Asian | 14 | Data is updating |
| Hispanic | 1 | 3 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Whitehall vs Hanover
- A higher percentage of Black residents are in Whitehall at 4% compared to 3% in Hanover.
- The percentage of White residents is higher in Hanover at 89% compared to 78% in Whitehall.
- The Asian population is larger in Whitehall at 14% compared to 0% in Hanover.
- Hanover has a higher percentage of Hispanic residents at 3%, compared to 1% in Whitehall.
- The percentage of residents identifying as two or more races is higher in Hanover at 5%, compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Whitehall and Hanover at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Hanover |
|---|---|---|
| Mental Health Not Good | 15.5% | 17.7% |
| Physical Health Not Good | 10.3% | 10.6% |
| Depression | 22.0% | 25.8% |
| Smoking | 17.0% | 18.5% |
| Binge Drinking | 21.4% | 17.9% |
| Obesity | 30.9% | 34.2% |
| Disability Percentage | 15.0% | 17.0% |
Health Statistics Comparison: Whitehall vs Hanover
- In Hanover, a higher percentage report poor mental health at 17.7% compared to 15.5% in Whitehall.
- Higher depression rates are seen in Hanover at 25.8% versus 22.0% in Whitehall.
- Hanover has a higher smoking rate at 18.5% compared to 17.0% in Whitehall.
- Binge drinking is more common in Whitehall at 21.4% compared to 17.9% in Hanover.
- Hanover has higher obesity rates at 34.2% compared to 30.9% in Whitehall.
- There is a higher percentage of disabled individuals in Hanover at 17.0% compared to 15.0% in Whitehall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whitehall | Hanover |
|---|---|---|
| No Schooling | 2.0% (302) | 0.4% (2) |
| High School Diploma | 18.2% (2,688) | 29.5% (140) |
| Less than High School | 7.7% (1,141) | 2.7% (13) |
| Bachelor's Degree and Higher | 31.1% (4,603) | 6.1% (29) |
Education Levels Comparison: Whitehall vs Hanover
- A higher percentage of residents in Whitehall have no formal schooling at 2.0% compared to 0.4% in Hanover.
- In Hanover, the rate of residents with high school diplomas is higher at 29.5% compared to 18.2% in Whitehall.
- More residents in Whitehall have less than a high school education at 7.7% compared to 2.7% in Hanover.
- A higher percentage of residents in Whitehall hold a bachelor's degree or higher at 31.1% 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.