Demographics details for Mount pocono, PA vs Blair, SC
Population Overview
Compare main population characteristics in Mount pocono, PA vs Blair, SC.
| Data | Mount pocono | Blair |
|---|---|---|
| Population | 3,071 | 250 |
| Median Age | 38.5 years | 35.0 years |
| Median Income | $81,127 | $55,000 |
| Married Families | 30.0% | 30.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.8 | 4.0 |
Population Comparison: Mount pocono vs Blair
- In Mount pocono, the population is higher at 3,071, compared to 250 in Blair.
- Residents in Mount pocono have a higher median age of 38.5 years compared to 35.0 years in Blair.
- Mount pocono has a higher median income of $81,127 compared to $55,000 in Blair.
- The percentage of married families is the same in both Mount pocono and Blair at 30.0%.
- The poverty level is higher in Blair at 12%, compared to 10% in Mount pocono.
- The unemployment rate in Mount pocono is higher at 4.8%, compared to 4.0% in Blair.
Demographics
Demographics Mount pocono vs Blair provide insight into the diversity of the communities to compare.
| Demographic | Mount pocono | Blair |
|---|---|---|
| Black | 16 | 20 |
| White | 41 | 70 |
| Asian | 6 | Data is updating |
| Hispanic | 33 | 5 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount pocono vs Blair
- In Blair, the percentage of Black residents is higher at 20% compared to 16% in Mount pocono.
- The percentage of White residents is higher in Blair at 70% compared to 41% in Mount pocono.
- The Asian population is larger in Mount pocono at 6% compared to 0% in Blair.
- The Hispanic community is larger in Mount pocono at 33% compared to 5% in Blair.
- The percentage of residents identifying as two or more races is higher in Blair at 5%, compared to 4% in Mount pocono.
- The percentage of American Indian residents is the same in both Mount pocono and Blair at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pocono | Blair |
|---|---|---|
| Mental Health Not Good | 16.1% | Data is updating% |
| Physical Health Not Good | 11.8% | Data is updating% |
| Depression | 20.1% | Data is updating% |
| Smoking | 18.1% | Data is updating% |
| Binge Drinking | 16.1% | Data is updating% |
| Obesity | 34.3% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Mount pocono vs Blair
- More residents in Mount pocono report poor mental health at 16.1% compared to 0.0% in Blair.
- Depression is more prevalent in Mount pocono at 20.1% compared to 0.0% in Blair.
- Smoking is more prevalent in Mount pocono at 18.1% compared to 0.0% in Blair.
- Binge drinking is more common in Mount pocono at 16.1% compared to 0.0% in Blair.
- Obesity rates are higher in Mount pocono at 34.3% compared to 0.0% in Blair.
- Disability percentages are higher in Mount pocono at 13.0% compared to 0.0% in Blair.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pocono | Blair |
|---|---|---|
| No Schooling | 3.2% (98) | 0.0% (Data is updating) |
| High School Diploma | 27.4% (842) | 0.0% (Data is updating) |
| Less than High School | 18.1% (555) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.9% (488) | 0.0% (Data is updating) |
Education Levels Comparison: Mount pocono vs Blair
- A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 0.0% in Blair.
- A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 0.0% in Blair.
- More residents in Mount pocono have less than a high school education at 18.1% compared to 0.0% in Blair.
- A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 0.0% in Blair.
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.