Demographics details for Whitehall, PA vs Millersburg, OH
Population Overview
Compare main population characteristics in Whitehall, PA vs Millersburg, OH.
| Data | Whitehall | Millersburg |
|---|---|---|
| Population | 14,785 | 3,180 |
| Median Age | 44.8 years | 38.2 years |
| Median Income | $77,752 | $48,913 |
| Married Families | 45.0% | 40.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Whitehall vs Millersburg
- In Whitehall, the population is higher at 14,785, compared to 3,180 in Millersburg.
- Residents in Whitehall have a higher median age of 44.8 years compared to 38.2 years in Millersburg.
- Whitehall has a higher median income of $77,752 compared to $48,913 in Millersburg.
- A higher percentage of married families is found in Whitehall at 45.0% compared to 40.0% in Millersburg.
- The poverty level is higher in Millersburg at 10%, compared to 8% in Whitehall.
- The unemployment rate is the same in both Whitehall and Millersburg at 4.5%.
Demographics
Demographics Whitehall vs Millersburg provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Millersburg |
|---|---|---|
| Black | 4 | 1 |
| White | 78 | 95 |
| Asian | 14 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Whitehall vs Millersburg
- A higher percentage of Black residents are in Whitehall at 4% compared to 1% in Millersburg.
- The percentage of White residents is higher in Millersburg at 95% compared to 78% in Whitehall.
- The Asian population is larger in Whitehall at 14% compared to 0% in Millersburg.
- The Hispanic community is larger in Whitehall at 1% compared to 0% in Millersburg.
- The percentage of residents identifying as two or more races is higher in Millersburg at 4%, compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Whitehall and Millersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Millersburg |
|---|---|---|
| Mental Health Not Good | 15.5% | 18.5% |
| Physical Health Not Good | 10.3% | 12.5% |
| Depression | 22.0% | 24.9% |
| Smoking | 17.0% | 22.4% |
| Binge Drinking | 21.4% | 18.0% |
| Obesity | 30.9% | 39.2% |
| Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Whitehall vs Millersburg
- In Millersburg, a higher percentage report poor mental health at 18.5% compared to 15.5% in Whitehall.
- Higher depression rates are seen in Millersburg at 24.9% versus 22.0% in Whitehall.
- Millersburg has a higher smoking rate at 22.4% compared to 17.0% in Whitehall.
- Binge drinking is more common in Whitehall at 21.4% compared to 18.0% in Millersburg.
- Millersburg has higher obesity rates at 39.2% compared to 30.9% in Whitehall.
- Disability percentages are higher in Whitehall at 15.0% compared to 13.0% in Millersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whitehall | Millersburg |
|---|---|---|
| No Schooling | 2.0% (302) | 1.4% (46) |
| High School Diploma | 18.2% (2,688) | 25.2% (801) |
| Less than High School | 7.7% (1,141) | 27.2% (864) |
| Bachelor's Degree and Higher | 31.1% (4,603) | 20.3% (644) |
Education Levels Comparison: Whitehall vs Millersburg
- A higher percentage of residents in Whitehall have no formal schooling at 2.0% compared to 1.4% in Millersburg.
- In Millersburg, the rate of residents with high school diplomas is higher at 25.2% compared to 18.2% in Whitehall.
- The percentage of residents with less than a high school education is higher in Millersburg at 27.2%, compared to 7.7% in Whitehall.
- A higher percentage of residents in Whitehall hold a bachelor's degree or higher at 31.1% compared to 20.3% in Millersburg.
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.