Demographics details for Wheeling, WV vs Ingalls, MI
Population Overview
Compare main population characteristics in Wheeling, WV vs Ingalls, MI.
| Data | Wheeling | Ingalls |
|---|---|---|
| Population | 26,391 | 150 |
| Median Age | 45.0 years | 35.0 years |
| Median Income | $46,516 | $60,000 |
| Married Families | 34.0% | 50.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 4.1 | 5.0 |
Population Comparison: Wheeling vs Ingalls
- In Wheeling, the population is higher at 26,391, compared to 150 in Ingalls.
- Residents in Wheeling have a higher median age of 45.0 years compared to 35.0 years in Ingalls.
- Ingalls has a higher median income of $60,000, compared to $46,516 in Wheeling.
- In Ingalls, the percentage of married families is higher at 50.0%, compared to 34.0% in Wheeling.
- Wheeling has a higher poverty level at 18% compared to 10% in Ingalls.
- Ingalls has a higher unemployment rate at 5.0% compared to 4.1% in Wheeling.
Demographics
Demographics Wheeling vs Ingalls provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Ingalls |
|---|---|---|
| Black | 4 | Data is updating |
| White | 90 | 90 |
| Asian | 1 | 5 |
| Hispanic | 1 | Data is updating |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeling vs Ingalls
- A higher percentage of Black residents are in Wheeling at 4% compared to 0% in Ingalls.
- The percentage of White residents is the same in both Wheeling and Ingalls at 90%.
- In Ingalls, the Asian population stands at 5%, greater than 1% in Wheeling.
- The Hispanic community is larger in Wheeling at 1% compared to 0% in Ingalls.
- The percentage of residents identifying as two or more races is higher in Ingalls at 5%, compared to 4% in Wheeling.
- The percentage of American Indian residents is the same in both Wheeling and Ingalls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Ingalls |
|---|---|---|
| Mental Health Not Good | 19.5% | Data is updating% |
| Physical Health Not Good | 13.3% | Data is updating% |
| Depression | 28.7% | Data is updating% |
| Smoking | 21.0% | Data is updating% |
| Binge Drinking | 14.4% | Data is updating% |
| Obesity | 40.4% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Wheeling vs Ingalls
- More residents in Wheeling report poor mental health at 19.5% compared to 0.0% in Ingalls.
- Depression is more prevalent in Wheeling at 28.7% compared to 0.0% in Ingalls.
- Smoking is more prevalent in Wheeling at 21.0% compared to 0.0% in Ingalls.
- Binge drinking is more common in Wheeling at 14.4% compared to 0.0% in Ingalls.
- Obesity rates are higher in Wheeling at 40.4% compared to 0.0% in Ingalls.
- Disability percentages are higher in Wheeling at 17.0% compared to 0.0% in Ingalls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Ingalls |
|---|---|---|
| No Schooling | 0.5% (130) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (5,888) | 0.0% (Data is updating) |
| Less than High School | 10.1% (2,653) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 0.0% (Data is updating) |
Education Levels Comparison: Wheeling vs Ingalls
- A higher percentage of residents in Wheeling have no formal schooling at 0.5% compared to 0.0% in Ingalls.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 0.0% in Ingalls.
- More residents in Wheeling have less than a high school education at 10.1% compared to 0.0% in Ingalls.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 0.0% in Ingalls.
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.