Demographics details for Wiota, IA vs Whitehall, WI
Population Overview
Compare main population characteristics in Wiota, IA vs Whitehall, WI.
| Data | Wiota | Whitehall |
|---|---|---|
| Population | 91 | 1,632 |
| Median Age | 70.0 years | 36.8 years |
| Median Income | $73,403 | $56,894 |
| Married Families | 71.0% | 30.0% |
| Poverty Level | Data is updating | 7% |
| Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Wiota vs Whitehall
- The population in Whitehall is higher at 1,632, compared to 91 in Wiota.
- Residents in Wiota have a higher median age of 70.0 years compared to 36.8 years in Whitehall.
- Wiota has a higher median income of $73,403 compared to $56,894 in Whitehall.
- A higher percentage of married families is found in Wiota at 71.0% compared to 30.0% in Whitehall.
- The poverty level is higher in Whitehall at 7%, compared to 0% in Wiota.
- Whitehall has a higher unemployment rate at 3.6% compared to 3.5% in Wiota.
Demographics
Demographics Wiota vs Whitehall provide insight into the diversity of the communities to compare.
| Demographic | Wiota | Whitehall |
|---|---|---|
| Black | Data is updating | 1 |
| White | 100 | 83 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 12 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wiota vs Whitehall
- In Whitehall, the percentage of Black residents is higher at 1% compared to 0% in Wiota.
- Wiota has a higher percentage of White residents at 100% compared to 83% in Whitehall.
- Both Wiota and Whitehall have the same percentage of Asian residents at 0%.
- Whitehall has a higher percentage of Hispanic residents at 12%, compared to 0% in Wiota.
- The percentage of residents identifying as two or more races is higher in Whitehall at 3%, compared to 0% in Wiota.
- In Whitehall, the percentage of American Indian residents is higher at 1%, compared to 0% in Wiota.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wiota | Whitehall |
|---|---|---|
| Mental Health Not Good | 15.3% | 15.2% |
| Physical Health Not Good | 9.9% | 10.3% |
| Depression | 18.3% | 24.0% |
| Smoking | 18.7% | 16.7% |
| Binge Drinking | 22.8% | 24.4% |
| Obesity | 41.9% | 34.9% |
| Disability Percentage | 27.0% | 15.0% |
Health Statistics Comparison: Wiota vs Whitehall
- More residents in Wiota report poor mental health at 15.3% compared to 15.2% in Whitehall.
- Higher depression rates are seen in Whitehall at 24.0% versus 18.3% in Wiota.
- Smoking is more prevalent in Wiota at 18.7% compared to 16.7% in Whitehall.
- More residents engage in binge drinking in Whitehall at 24.4% compared to 22.8% in Wiota.
- Obesity rates are higher in Wiota at 41.9% compared to 34.9% in Whitehall.
- Disability percentages are higher in Wiota at 27.0% 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 | Wiota | Whitehall |
|---|---|---|
| No Schooling | 2.2% (2) | 0.4% (7) |
| High School Diploma | 35.2% (32) | 24.4% (398) |
| Less than High School | 4.4% (4) | 15.7% (256) |
| Bachelor's Degree and Higher | 9.9% (9) | 8.6% (141) |
Education Levels Comparison: Wiota vs Whitehall
- A higher percentage of residents in Wiota have no formal schooling at 2.2% compared to 0.4% in Whitehall.
- A higher percentage of residents in Wiota hold a high school diploma at 35.2% compared to 24.4% in Whitehall.
- The percentage of residents with less than a high school education is higher in Whitehall at 15.7%, compared to 4.4% in Wiota.
- A higher percentage of residents in Wiota hold a bachelor's degree or higher at 9.9% 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.