Demographics details for Whitehall, WI vs Young harris, GA
Population Overview
Compare main population characteristics in Whitehall, WI vs Young harris, GA.
| Data | Whitehall | Young harris |
|---|---|---|
| Population | 1,632 | 810 |
| Median Age | 36.8 years | 20.4 years |
| Median Income | $56,894 | $27,500 |
| Married Families | 30.0% | 19.0% |
| Poverty Level | 7% | Data is updating |
| Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Whitehall vs Young harris
- In Whitehall, the population is higher at 1,632, compared to 810 in Young harris.
- Residents in Whitehall have a higher median age of 36.8 years compared to 20.4 years in Young harris.
- Whitehall has a higher median income of $56,894 compared to $27,500 in Young harris.
- A higher percentage of married families is found in Whitehall at 30.0% compared to 19.0% in Young harris.
- Whitehall has a higher poverty level at 7% compared to 0% in Young harris.
- The unemployment rate in Whitehall is higher at 3.6%, compared to 3.5% in Young harris.
Demographics
Demographics Whitehall vs Young harris provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Young harris |
|---|---|---|
| Black | 1 | 14 |
| White | 83 | 70 |
| Asian | Data is updating | Data is updating |
| Hispanic | 12 | 11 |
| Two or More Races | 3 | 3 |
| American Indian | 1 | 2 |
Demographics Comparison: Whitehall vs Young harris
- In Young harris, the percentage of Black residents is higher at 14% compared to 1% in Whitehall.
- Whitehall has a higher percentage of White residents at 83% compared to 70% in Young harris.
- Both Whitehall and Young harris have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Whitehall at 12% compared to 11% in Young harris.
- Both Whitehall and Young harris have the same percentage of residents identifying as two or more races at 3%.
- In Young harris, the percentage of American Indian residents is higher at 2%, compared to 1% in Whitehall.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Young harris |
|---|---|---|
| Mental Health Not Good | 15.2% | 17.3% |
| Physical Health Not Good | 10.3% | 12.0% |
| Depression | 24.0% | 23.4% |
| Smoking | 16.7% | 17.3% |
| Binge Drinking | 24.4% | 16.9% |
| Obesity | 34.9% | 33.5% |
| Disability Percentage | 15.0% | 23.0% |
Health Statistics Comparison: Whitehall vs Young harris
- In Young harris, a higher percentage report poor mental health at 17.3% compared to 15.2% in Whitehall.
- Depression is more prevalent in Whitehall at 24.0% compared to 23.4% in Young harris.
- Young harris has a higher smoking rate at 17.3% compared to 16.7% in Whitehall.
- Binge drinking is more common in Whitehall at 24.4% compared to 16.9% in Young harris.
- Obesity rates are higher in Whitehall at 34.9% compared to 33.5% in Young harris.
- There is a higher percentage of disabled individuals in Young harris at 23.0% 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 | Young harris |
|---|---|---|
| No Schooling | 0.4% (7) | 0.2% (2) |
| High School Diploma | 24.4% (398) | 5.7% (46) |
| Less than High School | 15.7% (256) | 4.4% (36) |
| Bachelor's Degree and Higher | 8.6% (141) | 9.3% (75) |
Education Levels Comparison: Whitehall vs Young harris
- A higher percentage of residents in Whitehall have no formal schooling at 0.4% compared to 0.2% in Young harris.
- A higher percentage of residents in Whitehall hold a high school diploma at 24.4% compared to 5.7% in Young harris.
- More residents in Whitehall have less than a high school education at 15.7% compared to 4.4% in Young harris.
- In Young harris, a larger share of residents have a bachelor's degree or higher at 9.3% compared to 8.6% in Whitehall.
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.