Demographics details for Whitehall, WI vs Churchville, VA
Population Overview
Compare main population characteristics in Whitehall, WI vs Churchville, VA.
Data | Whitehall | Churchville |
---|---|---|
Population | 1,632 | 61 |
Median Age | 36.8 years | 59.7 years |
Median Income | $56,894 | $81,220 |
Married Families | 30.0% | 59.0% |
Poverty Level | 7% | Data is updating |
Unemployment Rate | 3.6 | Data is updating |
Population Comparison: Whitehall vs Churchville
- In Whitehall, the population is higher at 1,632, compared to 61 in Churchville.
- The median age in Churchville is higher at 59.7 years, compared to 36.8 years in Whitehall.
- Churchville has a higher median income of $81,220, compared to $56,894 in Whitehall.
- In Churchville, the percentage of married families is higher at 59.0%, compared to 30.0% in Whitehall.
- Whitehall has a higher poverty level at 7% compared to 0% in Churchville.
- The unemployment rate in Whitehall is higher at 3.6%, compared to 0.0% in Churchville.
Demographics
Demographics Whitehall vs Churchville provide insight into the diversity of the communities to compare.
Demographic | Whitehall | Churchville |
---|---|---|
Black | 1 | Data is updating |
White | 83 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 12 | Data is updating |
Two or More Races | 3 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Whitehall vs Churchville
- A higher percentage of Black residents are in Whitehall at 1% compared to 0% in Churchville.
- The percentage of White residents is higher in Churchville at 100% compared to 83% in Whitehall.
- Both Whitehall and Churchville have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Whitehall at 12% compared to 0% in Churchville.
- More residents identify as two or more races in Whitehall at 3% compared to 0% in Churchville.
- A greater percentage of American Indian residents live in Whitehall at 1% compared to 0% in Churchville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Whitehall | Churchville |
---|---|---|
Mental Health Not Good | 15.2% | 17.2% |
Physical Health Not Good | 10.3% | 10.3% |
Depression | 24.0% | 24.9% |
Smoking | 16.7% | 16.6% |
Binge Drinking | 24.4% | 18.9% |
Obesity | 34.9% | 34.4% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Whitehall vs Churchville
- In Churchville, a higher percentage report poor mental health at 17.2% compared to 15.2% in Whitehall.
- Higher depression rates are seen in Churchville at 24.9% versus 24.0% in Whitehall.
- Smoking is more prevalent in Whitehall at 16.7% compared to 16.6% in Churchville.
- Binge drinking is more common in Whitehall at 24.4% compared to 18.9% in Churchville.
- Obesity rates are higher in Whitehall at 34.9% compared to 34.4% in Churchville.
- Disability percentages are higher in Whitehall at 15.0% compared to 0.0% in Churchville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Whitehall | Churchville |
---|---|---|
No Schooling | 0.4% (7) | 0.0% (Data is updating) |
High School Diploma | 24.4% (398) | 0.0% (Data is updating) |
Less than High School | 15.7% (256) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 8.6% (141) | 50.8% (31) |
Education Levels Comparison: Whitehall vs Churchville
- A higher percentage of residents in Whitehall have no formal schooling at 0.4% compared to 0.0% in Churchville.
- A higher percentage of residents in Whitehall hold a high school diploma at 24.4% compared to 0.0% in Churchville.
- More residents in Whitehall have less than a high school education at 15.7% compared to 0.0% in Churchville.
- In Churchville, a larger share of residents have a bachelor's degree or higher at 50.8% 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.