Demographics details for Mount pocono, PA vs Orr, MN
Population Overview
Compare main population characteristics in Mount pocono, PA vs Orr, MN.
| Data | Mount pocono | Orr |
|---|---|---|
| Population | 3,071 | 214 |
| Median Age | 38.5 years | 25.7 years |
| Median Income | $81,127 | $77,188 |
| Married Families | 30.0% | 41.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.8 | 5.0 |
Population Comparison: Mount pocono vs Orr
- In Mount pocono, the population is higher at 3,071, compared to 214 in Orr.
- Residents in Mount pocono have a higher median age of 38.5 years compared to 25.7 years in Orr.
- Mount pocono has a higher median income of $81,127 compared to $77,188 in Orr.
- In Orr, the percentage of married families is higher at 41.0%, compared to 30.0% in Mount pocono.
- The poverty level is higher in Orr at 12%, compared to 10% in Mount pocono.
- Orr has a higher unemployment rate at 5.0% compared to 4.8% in Mount pocono.
Demographics
Demographics Mount pocono vs Orr provide insight into the diversity of the communities to compare.
| Demographic | Mount pocono | Orr |
|---|---|---|
| Black | 16 | Data is updating |
| White | 41 | 61 |
| Asian | 6 | Data is updating |
| Hispanic | 33 | 9 |
| Two or More Races | 4 | 24 |
| American Indian | Data is updating | 6 |
Demographics Comparison: Mount pocono vs Orr
- A higher percentage of Black residents are in Mount pocono at 16% compared to 0% in Orr.
- The percentage of White residents is higher in Orr at 61% compared to 41% in Mount pocono.
- The Asian population is larger in Mount pocono at 6% compared to 0% in Orr.
- The Hispanic community is larger in Mount pocono at 33% compared to 9% in Orr.
- The percentage of residents identifying as two or more races is higher in Orr at 24%, compared to 4% in Mount pocono.
- In Orr, the percentage of American Indian residents is higher at 6%, compared to 0% in Mount pocono.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount pocono | Orr |
|---|---|---|
| Mental Health Not Good | 16.1% | 16.8% |
| Physical Health Not Good | 11.8% | 10.1% |
| Depression | 20.1% | 23.5% |
| Smoking | 18.1% | 20.5% |
| Binge Drinking | 16.1% | 21.3% |
| Obesity | 34.3% | 35.5% |
| Disability Percentage | 13.0% | 46.0% |
Health Statistics Comparison: Mount pocono vs Orr
- In Orr, a higher percentage report poor mental health at 16.8% compared to 16.1% in Mount pocono.
- Higher depression rates are seen in Orr at 23.5% versus 20.1% in Mount pocono.
- Orr has a higher smoking rate at 20.5% compared to 18.1% in Mount pocono.
- More residents engage in binge drinking in Orr at 21.3% compared to 16.1% in Mount pocono.
- Orr has higher obesity rates at 35.5% compared to 34.3% in Mount pocono.
- There is a higher percentage of disabled individuals in Orr at 46.0% 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 | Mount pocono | Orr |
|---|---|---|
| No Schooling | 3.2% (98) | 0.5% (1) |
| High School Diploma | 27.4% (842) | 46.3% (99) |
| Less than High School | 18.1% (555) | 7.0% (15) |
| Bachelor's Degree and Higher | 15.9% (488) | 15.0% (32) |
Education Levels Comparison: Mount pocono vs Orr
- A higher percentage of residents in Mount pocono have no formal schooling at 3.2% compared to 0.5% in Orr.
- In Orr, the rate of residents with high school diplomas is higher at 46.3% compared to 27.4% in Mount pocono.
- More residents in Mount pocono have less than a high school education at 18.1% compared to 7.0% in Orr.
- A higher percentage of residents in Mount pocono hold a bachelor's degree or higher at 15.9% compared to 15.0% in Orr.
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.