Demographics details for Danville, IL vs Whitehall, WI
Population Overview
Compare main population characteristics in Danville, IL vs Whitehall, WI.
| Data | Danville | Whitehall |
|---|---|---|
| Population | 28,472 | 1,632 |
| Median Age | 38.6 years | 36.8 years |
| Median Income | $42,424 | $56,894 |
| Married Families | 25.0% | 30.0% |
| Poverty Level | 20% | 7% |
| Unemployment Rate | 8.6 | 3.6 |
Population Comparison: Danville vs Whitehall
- In Danville, the population is higher at 28,472, compared to 1,632 in Whitehall.
- Residents in Danville have a higher median age of 38.6 years compared to 36.8 years in Whitehall.
- Whitehall has a higher median income of $56,894, compared to $42,424 in Danville.
- In Whitehall, the percentage of married families is higher at 30.0%, compared to 25.0% in Danville.
- Danville has a higher poverty level at 20% compared to 7% in Whitehall.
- The unemployment rate in Danville is higher at 8.6%, compared to 3.6% in Whitehall.
Demographics
Demographics Danville vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Danville | Whitehall |
|---|---|---|
| Black | 34 | 1 |
| White | 52 | 83 |
| Asian | 1 | Data is updating |
| Hispanic | 8 | 12 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Danville vs Whitehall
- A higher percentage of Black residents are in Danville at 34% compared to 1% in Whitehall.
- The percentage of White residents is higher in Whitehall at 83% compared to 52% in Danville.
- The Asian population is larger in Danville at 1% compared to 0% in Whitehall.
- Whitehall has a higher percentage of Hispanic residents at 12%, compared to 8% in Danville.
- More residents identify as two or more races in Danville at 5% compared to 3% in Whitehall.
- In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Danville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danville | Whitehall |
|---|---|---|
| Mental Health Not Good | 18.9% | 15.2% |
| Physical Health Not Good | 14.5% | 10.3% |
| Depression | 21.2% | 24.0% |
| Smoking | 23.9% | 16.7% |
| Binge Drinking | 14.9% | 24.4% |
| Obesity | 41.4% | 34.9% |
| Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Danville vs Whitehall
- More residents in Danville report poor mental health at 18.9% compared to 15.2% in Whitehall.
- Higher depression rates are seen in Whitehall at 24.0% versus 21.2% in Danville.
- Smoking is more prevalent in Danville at 23.9% compared to 16.7% in Whitehall.
- More residents engage in binge drinking in Whitehall at 24.4% compared to 14.9% in Danville.
- Obesity rates are higher in Danville at 41.4% compared to 34.9% in Whitehall.
- Disability percentages are higher in Danville 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 | Danville | Whitehall |
|---|---|---|
| No Schooling | 0.9% (270) | 0.4% (7) |
| High School Diploma | 20.6% (5,853) | 24.4% (398) |
| Less than High School | 13.1% (3,727) | 15.7% (256) |
| Bachelor's Degree and Higher | 11.7% (3,344) | 8.6% (141) |
Education Levels Comparison: Danville vs Whitehall
- A higher percentage of residents in Danville have no formal schooling at 0.9% compared to 0.4% in Whitehall.
- In Whitehall, the rate of residents with high school diplomas is higher at 24.4% compared to 20.6% in Danville.
- The percentage of residents with less than a high school education is higher in Whitehall at 15.7%, compared to 13.1% in Danville.
- A higher percentage of residents in Danville hold a bachelor's degree or higher at 11.7% 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.