Demographics details for Whitehall, PA vs Charlotte, NC
Population Overview
Compare main population characteristics in Whitehall, PA vs Charlotte, NC.
| Data | Whitehall | Charlotte |
|---|---|---|
| Population | 14,785 | 897,720 |
| Median Age | 44.8 years | 34.5 years |
| Median Income | $77,752 | $74,070 |
| Married Families | 45.0% | 33.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Whitehall vs Charlotte
- The population in Charlotte is higher at 897,720, compared to 14,785 in Whitehall.
- Residents in Whitehall have a higher median age of 44.8 years compared to 34.5 years in Charlotte.
- Whitehall has a higher median income of $77,752 compared to $74,070 in Charlotte.
- A higher percentage of married families is found in Whitehall at 45.0% compared to 33.0% in Charlotte.
- The poverty level is higher in Charlotte at 12%, compared to 8% in Whitehall.
- The unemployment rate in Whitehall is higher at 4.5%, compared to 4.0% in Charlotte.
Demographics
Demographics Whitehall vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Charlotte |
|---|---|---|
| Black | 4 | 34 |
| White | 78 | 38 |
| Asian | 14 | 6 |
| Hispanic | 1 | 15 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Whitehall vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 34% compared to 4% in Whitehall.
- Whitehall has a higher percentage of White residents at 78% compared to 38% in Charlotte.
- The Asian population is larger in Whitehall at 14% compared to 6% in Charlotte.
- Charlotte has a higher percentage of Hispanic residents at 15%, compared to 1% in Whitehall.
- The percentage of residents identifying as two or more races is higher in Charlotte at 7%, compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Whitehall and Charlotte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Charlotte |
|---|---|---|
| Mental Health Not Good | 15.5% | 14.7% |
| Physical Health Not Good | 10.3% | 10.1% |
| Depression | 22.0% | 20.1% |
| Smoking | 17.0% | 13.9% |
| Binge Drinking | 21.4% | 17.5% |
| Obesity | 30.9% | 34.7% |
| Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Whitehall vs Charlotte
- More residents in Whitehall report poor mental health at 15.5% compared to 14.7% in Charlotte.
- Depression is more prevalent in Whitehall at 22.0% compared to 20.1% in Charlotte.
- Smoking is more prevalent in Whitehall at 17.0% compared to 13.9% in Charlotte.
- Binge drinking is more common in Whitehall at 21.4% compared to 17.5% in Charlotte.
- Charlotte has higher obesity rates at 34.7% compared to 30.9% in Whitehall.
- Disability percentages are higher in Whitehall at 15.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whitehall | Charlotte |
|---|---|---|
| No Schooling | 2.0% (302) | 1.2% (10,429) |
| High School Diploma | 18.2% (2,688) | 9.4% (84,002) |
| Less than High School | 7.7% (1,141) | 10.7% (95,990) |
| Bachelor's Degree and Higher | 31.1% (4,603) | 30.6% (274,311) |
Education Levels Comparison: Whitehall vs Charlotte
- A higher percentage of residents in Whitehall have no formal schooling at 2.0% compared to 1.2% in Charlotte.
- A higher percentage of residents in Whitehall hold a high school diploma at 18.2% compared to 9.4% in Charlotte.
- The percentage of residents with less than a high school education is higher in Charlotte at 10.7%, 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 30.6% in Charlotte.
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.