Demographics details for Superior, WI vs Mount pocono, PA
Population Overview
Compare main population characteristics in Superior, WI vs Mount pocono, PA.
| Data | Superior | Mount pocono |
|---|---|---|
| Population | 26,459 | 3,071 |
| Median Age | 38.7 years | 38.5 years |
| Median Income | $54,935 | $81,127 |
| Married Families | 33.0% | 30.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 3.8 | 4.8 |
Population Comparison: Superior vs Mount pocono
- In Superior, the population is higher at 26,459, compared to 3,071 in Mount pocono.
- Residents in Superior have a higher median age of 38.7 years compared to 38.5 years in Mount pocono.
- Mount pocono has a higher median income of $81,127, compared to $54,935 in Superior.
- A higher percentage of married families is found in Superior at 33.0% compared to 30.0% in Mount pocono.
- Superior has a higher poverty level at 11% compared to 10% in Mount pocono.
- Mount pocono has a higher unemployment rate at 4.8% compared to 3.8% in Superior.
Demographics
Demographics Superior vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | Superior | Mount pocono |
|---|---|---|
| Black | 2 | 16 |
| White | 87 | 41 |
| Asian | 2 | 6 |
| Hispanic | 2 | 33 |
| Two or More Races | 5 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Superior vs Mount pocono
- In Mount pocono, 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 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 2% in Superior.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 2% in Superior.
- More residents identify as two or more races in Superior at 5% compared to 4% in Mount pocono.
- A greater percentage of American Indian residents live in Superior at 2% compared to 0% in Mount pocono.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Superior | Mount pocono |
|---|---|---|
| Mental Health Not Good | 15.7% | 16.1% |
| Physical Health Not Good | 10.8% | 11.8% |
| Depression | 24.0% | 20.1% |
| Smoking | 17.3% | 18.1% |
| Binge Drinking | 25.5% | 16.1% |
| Obesity | 36.9% | 34.3% |
| Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Superior vs Mount pocono
- In Mount pocono, a higher percentage report poor mental health at 16.1% compared to 15.7% in Superior.
- Depression is more prevalent in Superior at 24.0% compared to 20.1% in Mount pocono.
- Mount pocono has a higher smoking rate at 18.1% compared to 17.3% in Superior.
- Binge drinking is more common in Superior at 25.5% compared to 16.1% in Mount pocono.
- Obesity rates are higher in Superior at 36.9% compared to 34.3% in Mount pocono.
- Disability percentages are higher in Superior at 16.0% compared to 13.0% in Mount pocono.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Superior | Mount pocono |
|---|---|---|
| No Schooling | 0.6% (149) | 3.2% (98) |
| High School Diploma | 17.4% (4,616) | 27.4% (842) |
| Less than High School | 7.6% (2,003) | 18.1% (555) |
| Bachelor's Degree and Higher | 19.8% (5,251) | 15.9% (488) |
Education Levels Comparison: Superior vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.6% in Superior.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 17.4% in Superior.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 7.6% in Superior.
- A higher percentage of residents in Superior hold a bachelor's degree or higher at 19.8% compared to 15.9% in Mount pocono.
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.