Demographics details for Mount pocono, PA vs Jefferson, OR
Population Overview
Compare main population characteristics in Mount pocono, PA vs Jefferson, OR.
| Data | Mount pocono | Jefferson |
|---|---|---|
| Population | 3,071 | 3,304 |
| Median Age | 38.5 years | 31.7 years |
| Median Income | $81,127 | $87,604 |
| Married Families | 30.0% | 39.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.8 | 3.5 |
Population Comparison: Mount pocono vs Jefferson
- The population in Jefferson is higher at 3,304, compared to 3,071 in Mount pocono.
- Residents in Mount pocono have a higher median age of 38.5 years compared to 31.7 years in Jefferson.
- Jefferson has a higher median income of $87,604, compared to $81,127 in Mount pocono.
- In Jefferson, the percentage of married families is higher at 39.0%, compared to 30.0% in Mount pocono.
- The poverty level is identical in both Mount pocono and Jefferson at 10%.
- The unemployment rate in Mount pocono is higher at 4.8%, compared to 3.5% in Jefferson.
Demographics
Demographics Mount pocono vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Mount pocono | Jefferson |
|---|---|---|
| Black | 16 | 2 |
| White | 41 | 67 |
| Asian | 6 | Data is updating |
| Hispanic | 33 | 20 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mount pocono vs Jefferson
- A higher percentage of Black residents are in Mount pocono at 16% compared to 2% in Jefferson.
- The percentage of White residents is higher in Jefferson at 67% compared to 41% in Mount pocono.
- The Asian population is larger in Mount pocono at 6% compared to 0% in Jefferson.
- The Hispanic community is larger in Mount pocono at 33% compared to 20% in Jefferson.
- The percentage of residents identifying as two or more races is higher in Jefferson at 10%, compared to 4% in Mount pocono.
- In Jefferson, 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 | Jefferson |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.4% |
| Physical Health Not Good | 11.8% | 12.0% |
| Depression | 20.1% | 28.9% |
| Smoking | 18.1% | 16.5% |
| Binge Drinking | 16.1% | 16.4% |
| Obesity | 34.3% | 36.5% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Mount pocono vs Jefferson
- In Jefferson, a higher percentage report poor mental health at 18.4% compared to 16.1% in Mount pocono.
- Higher depression rates are seen in Jefferson at 28.9% versus 20.1% in Mount pocono.
- Smoking is more prevalent in Mount pocono at 18.1% compared to 16.5% in Jefferson.
- More residents engage in binge drinking in Jefferson at 16.4% compared to 16.1% in Mount pocono.
- Jefferson has higher obesity rates at 36.5% compared to 34.3% in Mount pocono.
- Disability percentages are the same in both Mount pocono and Jefferson at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount pocono | Jefferson |
|---|---|---|
| No Schooling | 3.2% (98) | 2.4% (78) |
| High School Diploma | 27.4% (842) | 13.0% (430) |
| Less than High School | 18.1% (555) | 13.9% (458) |
| Bachelor's Degree and Higher | 15.9% (488) | 11.0% (363) |
Education Levels Comparison: Mount pocono vs Jefferson
- A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 2.4% in Jefferson.
- A higher percentage of residents in Mount pocono hold a high school diploma at 27.4% compared to 13.0% in Jefferson.
- More residents in Mount pocono have less than a high school education at 18.1% compared to 13.9% in Jefferson.
- A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 11.0% in Jefferson.
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.