Demographics details for Wheeling, WV vs Northfield, MN
Population Overview
Compare main population characteristics in Wheeling, WV vs Northfield, MN.
| Data | Wheeling | Northfield |
|---|---|---|
| Population | 26,391 | 20,924 |
| Median Age | 45.0 years | 29.4 years |
| Median Income | $46,516 | $83,125 |
| Married Families | 34.0% | 32.0% |
| Poverty Level | 18% | 6% |
| Unemployment Rate | 4.1 | 2.3 |
Population Comparison: Wheeling vs Northfield
- In Wheeling, the population is higher at 26,391, compared to 20,924 in Northfield.
- Residents in Wheeling have a higher median age of 45.0 years compared to 29.4 years in Northfield.
- Northfield has a higher median income of $83,125, compared to $46,516 in Wheeling.
- A higher percentage of married families is found in Wheeling at 34.0% compared to 32.0% in Northfield.
- Wheeling has a higher poverty level at 18% compared to 6% in Northfield.
- The unemployment rate in Wheeling is higher at 4.1%, compared to 2.3% in Northfield.
Demographics
Demographics Wheeling vs Northfield provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Northfield |
|---|---|---|
| Black | 4 | 2 |
| White | 90 | 77 |
| Asian | 1 | 4 |
| Hispanic | 1 | 9 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wheeling vs Northfield
- A higher percentage of Black residents are in Wheeling at 4% compared to 2% in Northfield.
- Wheeling has a higher percentage of White residents at 90% compared to 77% in Northfield.
- In Northfield, the Asian population stands at 4%, greater than 1% in Wheeling.
- Northfield has a higher percentage of Hispanic residents at 9%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Northfield at 7%, compared to 4% in Wheeling.
- In Northfield, the percentage of American Indian residents is higher at 1%, compared to 0% in Wheeling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Northfield |
|---|---|---|
| Mental Health Not Good | 19.5% | 13.6% |
| Physical Health Not Good | 13.3% | 8.3% |
| Depression | 28.7% | 20.8% |
| Smoking | 21.0% | 14.4% |
| Binge Drinking | 14.4% | 19.1% |
| Obesity | 40.4% | 35.3% |
| Disability Percentage | 17.0% | 6.0% |
Health Statistics Comparison: Wheeling vs Northfield
- More residents in Wheeling report poor mental health at 19.5% compared to 13.6% in Northfield.
- Depression is more prevalent in Wheeling at 28.7% compared to 20.8% in Northfield.
- Smoking is more prevalent in Wheeling at 21.0% compared to 14.4% in Northfield.
- More residents engage in binge drinking in Northfield at 19.1% compared to 14.4% in Wheeling.
- Obesity rates are higher in Wheeling at 40.4% compared to 35.3% in Northfield.
- Disability percentages are higher in Wheeling at 17.0% compared to 6.0% in Northfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Northfield |
|---|---|---|
| No Schooling | 0.5% (130) | 0.2% (44) |
| High School Diploma | 22.3% (5,888) | 8.7% (1,816) |
| Less than High School | 10.1% (2,653) | 3.1% (646) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 27.3% (5,717) |
Education Levels Comparison: Wheeling vs Northfield
- A higher percentage of residents in Wheeling have no formal schooling at 0.5% compared to 0.2% in Northfield.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 8.7% in Northfield.
- More residents in Wheeling have less than a high school education at 10.1% compared to 3.1% in Northfield.
- In Northfield, a larger share of residents have a bachelor's degree or higher at 27.3% compared to 23.5% in Wheeling.
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.