Demographics details for Superior, WI vs Wilmington, NC
Population Overview
Compare main population characteristics in Superior, WI vs Wilmington, NC.
| Data | Superior | Wilmington |
|---|---|---|
| Population | 26,459 | 120,324 |
| Median Age | 38.7 years | 37.6 years |
| Median Income | $54,935 | $58,908 |
| Married Families | 33.0% | 32.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 3.8 | 3.7 |
Population Comparison: Superior vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 26,459 in Superior.
- Residents in Superior have a higher median age of 38.7 years compared to 37.6 years in Wilmington.
- Wilmington has a higher median income of $58,908, compared to $54,935 in Superior.
- A higher percentage of married families is found in Superior at 33.0% compared to 32.0% in Wilmington.
- The poverty level is higher in Wilmington at 12%, compared to 11% in Superior.
- The unemployment rate in Superior is higher at 3.8%, compared to 3.7% in Wilmington.
Demographics
Demographics Superior vs Wilmington provide insight into the diversity of the communities to compare.
| Demographic | Superior | Wilmington |
|---|---|---|
| Black | 2 | 16 |
| White | 87 | 71 |
| Asian | 2 | 1 |
| Hispanic | 2 | 7 |
| Two or More Races | 5 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Superior vs Wilmington
- In Wilmington, the percentage of Black residents is higher at 16% compared to 2% in Superior.
- Superior has a higher percentage of White residents at 87% compared to 71% in Wilmington.
- The Asian population is larger in Superior at 2% compared to 1% in Wilmington.
- Wilmington has a higher percentage of Hispanic residents at 7%, compared to 2% in Superior.
- Both Superior and Wilmington have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Superior at 2% compared to 0% in Wilmington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Superior | Wilmington |
|---|---|---|
| Mental Health Not Good | 15.7% | 16.9% |
| Physical Health Not Good | 10.8% | 11.0% |
| Depression | 24.0% | 25.0% |
| Smoking | 17.3% | 16.5% |
| Binge Drinking | 25.5% | 18.5% |
| Obesity | 36.9% | 33.2% |
| Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Superior vs Wilmington
- In Wilmington, a higher percentage report poor mental health at 16.9% compared to 15.7% in Superior.
- Higher depression rates are seen in Wilmington at 25.0% versus 24.0% in Superior.
- Smoking is more prevalent in Superior at 17.3% compared to 16.5% in Wilmington.
- Binge drinking is more common in Superior at 25.5% compared to 18.5% in Wilmington.
- Obesity rates are higher in Superior at 36.9% compared to 33.2% in Wilmington.
- Disability percentages are higher in Superior at 16.0% compared to 12.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Superior | Wilmington |
|---|---|---|
| No Schooling | 0.6% (149) | 0.5% (560) |
| High School Diploma | 17.4% (4,616) | 10.5% (12,679) |
| Less than High School | 7.6% (2,003) | 7.1% (8,513) |
| Bachelor's Degree and Higher | 19.8% (5,251) | 28.5% (34,319) |
Education Levels Comparison: Superior vs Wilmington
- A higher percentage of residents in Superior have no formal schooling at 0.6% compared to 0.5% in Wilmington.
- A higher percentage of residents in Superior hold a high school diploma at 17.4% compared to 10.5% in Wilmington.
- More residents in Superior have less than a high school education at 7.6% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 19.8% in Superior.
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.