Demographics details for Mount pocono, PA vs Viborg, SD
Population Overview
Compare main population characteristics in Mount pocono, PA vs Viborg, SD.
| Data | Mount pocono | Viborg |
|---|---|---|
| Population | 3,071 | 824 |
| Median Age | 38.5 years | 50.3 years |
| Median Income | $81,127 | $46,316 |
| Married Families | 30.0% | 31.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.8 | 3.2 |
Population Comparison: Mount pocono vs Viborg
- In Mount pocono, the population is higher at 3,071, compared to 824 in Viborg.
- The median age in Viborg is higher at 50.3 years, compared to 38.5 years in Mount pocono.
- Mount pocono has a higher median income of $81,127 compared to $46,316 in Viborg.
- In Viborg, the percentage of married families is higher at 31.0%, compared to 30.0% in Mount pocono.
- The poverty level is higher in Viborg at 12%, compared to 10% in Mount pocono.
- The unemployment rate in Mount pocono is higher at 4.8%, compared to 3.2% in Viborg.
Demographics
Demographics Mount pocono vs Viborg provide insight into the diversity of the communities to compare.
| Demographic | Mount pocono | Viborg |
|---|---|---|
| Black | 16 | Data is updating |
| White | 41 | 91 |
| Asian | 6 | Data is updating |
| Hispanic | 33 | 4 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount pocono vs Viborg
- A higher percentage of Black residents are in Mount pocono at 16% compared to 0% in Viborg.
- The percentage of White residents is higher in Viborg at 91% compared to 41% in Mount pocono.
- The Asian population is larger in Mount pocono at 6% compared to 0% in Viborg.
- The Hispanic community is larger in Mount pocono at 33% compared to 4% in Viborg.
- Both Mount pocono and Viborg have the same percentage of residents identifying as two or more races at 4%.
- In Viborg, the percentage of American Indian residents is higher at 1%, compared to 0% in Mount pocono.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pocono | Viborg |
|---|---|---|
| Mental Health Not Good | 16.1% | 13.8% |
| Physical Health Not Good | 11.8% | 9.5% |
| Depression | 20.1% | 18.1% |
| Smoking | 18.1% | 17.4% |
| Binge Drinking | 16.1% | 20.1% |
| Obesity | 34.3% | 35.2% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Mount pocono vs Viborg
- More residents in Mount pocono report poor mental health at 16.1% compared to 13.8% in Viborg.
- Depression is more prevalent in Mount pocono at 20.1% compared to 18.1% in Viborg.
- Smoking is more prevalent in Mount pocono at 18.1% compared to 17.4% in Viborg.
- More residents engage in binge drinking in Viborg at 20.1% compared to 16.1% in Mount pocono.
- Viborg has higher obesity rates at 35.2% compared to 34.3% in Mount pocono.
- Disability percentages are higher in Mount pocono at 13.0% compared to 12.0% in Viborg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pocono | Viborg |
|---|---|---|
| No Schooling | 3.2% (98) | 0.0% (Data is updating) |
| High School Diploma | 27.4% (842) | 22.8% (188) |
| Less than High School | 18.1% (555) | 14.2% (117) |
| Bachelor's Degree and Higher | 15.9% (488) | 14.6% (120) |
Education Levels Comparison: Mount pocono vs Viborg
- A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 0.0% in Viborg.
- A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 22.8% in Viborg.
- More residents in Mount pocono have less than a high school education at 18.1% compared to 14.2% in Viborg.
- A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 14.6% in Viborg.
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.