Demographics details for Whitehall, PA vs Muscadine, AL
Population Overview
Compare main population characteristics in Whitehall, PA vs Muscadine, AL.
Data | Whitehall | Muscadine |
---|---|---|
Population | 14,785 | 104 |
Median Age | 44.8 years | 38.0 years |
Median Income | $77,752 | $50,000 |
Married Families | 45.0% | 20.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Whitehall vs Muscadine
- In Whitehall, the population is higher at 14,785, compared to 104 in Muscadine.
- Residents in Whitehall have a higher median age of 44.8 years compared to 38.0 years in Muscadine.
- Whitehall has a higher median income of $77,752 compared to $50,000 in Muscadine.
- A higher percentage of married families is found in Whitehall at 45.0% compared to 20.0% in Muscadine.
- The poverty level is higher in Muscadine at 12%, compared to 8% in Whitehall.
- The unemployment rate in Whitehall is higher at 4.5%, compared to 3.5% in Muscadine.
Demographics
Demographics Whitehall vs Muscadine provide insight into the diversity of the communities to compare.
Demographic | Whitehall | Muscadine |
---|---|---|
Black | 4 | 15 |
White | 78 | 80 |
Asian | 14 | Data is updating |
Hispanic | 1 | 5 |
Two or More Races | 3 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Whitehall vs Muscadine
- In Muscadine, the percentage of Black residents is higher at 15% compared to 4% in Whitehall.
- The percentage of White residents is higher in Muscadine at 80% compared to 78% in Whitehall.
- The Asian population is larger in Whitehall at 14% compared to 0% in Muscadine.
- Muscadine has a higher percentage of Hispanic residents at 5%, compared to 1% in Whitehall.
- More residents identify as two or more races in Whitehall at 3% compared to 0% in Muscadine.
- The percentage of American Indian residents is the same in both Whitehall and Muscadine at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Whitehall | Muscadine |
---|---|---|
Mental Health Not Good | 15.5% | Data is updating% |
Physical Health Not Good | 10.3% | Data is updating% |
Depression | 22.0% | Data is updating% |
Smoking | 17.0% | Data is updating% |
Binge Drinking | 21.4% | Data is updating% |
Obesity | 30.9% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Whitehall vs Muscadine
- More residents in Whitehall report poor mental health at 15.5% compared to 0.0% in Muscadine.
- Depression is more prevalent in Whitehall at 22.0% compared to 0.0% in Muscadine.
- Smoking is more prevalent in Whitehall at 17.0% compared to 0.0% in Muscadine.
- Binge drinking is more common in Whitehall at 21.4% compared to 0.0% in Muscadine.
- Obesity rates are higher in Whitehall at 30.9% compared to 0.0% in Muscadine.
- Disability percentages are higher in Whitehall at 15.0% compared to 0.0% in Muscadine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Whitehall | Muscadine |
---|---|---|
No Schooling | 2.0% (302) | 0.0% (Data is updating) |
High School Diploma | 18.2% (2,688) | 0.0% (Data is updating) |
Less than High School | 7.7% (1,141) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 31.1% (4,603) | 0.0% (Data is updating) |
Education Levels Comparison: Whitehall vs Muscadine
- A higher percentage of residents in Whitehall have no formal schooling at 2.0% compared to 0.0% in Muscadine.
- A higher percentage of residents in Whitehall hold a high school diploma at 18.2% compared to 0.0% in Muscadine.
- More residents in Whitehall have less than a high school education at 7.7% compared to 0.0% in Muscadine.
- A higher percentage of residents in Whitehall hold a bachelor's degree or higher at 31.1% compared to 0.0% in Muscadine.
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.