Demographics details for Superior, WI vs Venus, PA
Population Overview
Compare main population characteristics in Superior, WI vs Venus, PA.
| Data | Superior | Venus |
|---|---|---|
| Population | 26,459 | 190 |
| Median Age | 38.7 years | 34.0 years |
| Median Income | $54,935 | $47,000 |
| Married Families | 33.0% | 44.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 3.8 | 4.0 |
Population Comparison: Superior vs Venus
- In Superior, the population is higher at 26,459, compared to 190 in Venus.
- Residents in Superior have a higher median age of 38.7 years compared to 34.0 years in Venus.
- Superior has a higher median income of $54,935 compared to $47,000 in Venus.
- In Venus, the percentage of married families is higher at 44.0%, compared to 33.0% in Superior.
- The poverty level is higher in Venus at 12%, compared to 11% in Superior.
- Venus has a higher unemployment rate at 4.0% compared to 3.8% in Superior.
Demographics
Demographics Superior vs Venus provide insight into the diversity of the communities to compare.
| Demographic | Superior | Venus |
|---|---|---|
| Black | 2 | Data is updating |
| White | 87 | 100 |
| Asian | 2 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 5 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Superior vs Venus
- A higher percentage of Black residents are in Superior at 2% compared to 0% in Venus.
- The percentage of White residents is higher in Venus at 100% compared to 87% in Superior.
- The Asian population is larger in Superior at 2% compared to 0% in Venus.
- The Hispanic community is larger in Superior at 2% compared to 0% in Venus.
- More residents identify as two or more races in Superior at 5% compared to 0% in Venus.
- A greater percentage of American Indian residents live in Superior at 2% compared to 0% in Venus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Superior | Venus |
|---|---|---|
| Mental Health Not Good | 15.7% | Data is updating% |
| Physical Health Not Good | 10.8% | Data is updating% |
| Depression | 24.0% | Data is updating% |
| Smoking | 17.3% | Data is updating% |
| Binge Drinking | 25.5% | Data is updating% |
| Obesity | 36.9% | Data is updating% |
| Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Superior vs Venus
- More residents in Superior report poor mental health at 15.7% compared to 0.0% in Venus.
- Depression is more prevalent in Superior at 24.0% compared to 0.0% in Venus.
- Smoking is more prevalent in Superior at 17.3% compared to 0.0% in Venus.
- Binge drinking is more common in Superior at 25.5% compared to 0.0% in Venus.
- Obesity rates are higher in Superior at 36.9% compared to 0.0% in Venus.
- Disability percentages are higher in Superior at 16.0% compared to 0.0% in Venus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Superior | Venus |
|---|---|---|
| No Schooling | 0.6% (149) | 0.0% (Data is updating) |
| High School Diploma | 17.4% (4,616) | 0.0% (Data is updating) |
| Less than High School | 7.6% (2,003) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 19.8% (5,251) | 0.0% (Data is updating) |
Education Levels Comparison: Superior vs Venus
- A higher percentage of residents in Superior have no formal schooling at 0.6% compared to 0.0% in Venus.
- A higher percentage of residents in Superior hold a high school diploma at 17.4% compared to 0.0% in Venus.
- More residents in Superior have less than a high school education at 7.6% compared to 0.0% in Venus.
- A higher percentage of residents in Superior hold a bachelor's degree or higher at 19.8% compared to 0.0% in Venus.
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.