Demographics details for Dexter, MN vs Mount pocono, PA
Population Overview
Compare main population characteristics in Dexter, MN vs Mount pocono, PA.
| Data | Dexter | Mount pocono |
|---|---|---|
| Population | 323 | 3,071 |
| Median Age | 45.8 years | 38.5 years |
| Median Income | $84,375 | $81,127 |
| Married Families | 59.0% | 30.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Dexter vs Mount pocono
- The population in Mount pocono is higher at 3,071, compared to 323 in Dexter.
- Residents in Dexter have a higher median age of 45.8 years compared to 38.5 years in Mount pocono.
- Dexter has a higher median income of $84,375 compared to $81,127 in Mount pocono.
- A higher percentage of married families is found in Dexter at 59.0% compared to 30.0% in Mount pocono.
- The poverty level is higher in Mount pocono at 10%, compared to 7% in Dexter.
- Mount pocono has a higher unemployment rate at 4.8% compared to 3.5% in Dexter.
Demographics
Demographics Dexter vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | Dexter | Mount pocono |
|---|---|---|
| Black | Data is updating | 16 |
| White | 100 | 41 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 33 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dexter vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 0% in Dexter.
- Dexter has a higher percentage of White residents at 100% compared to 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 0% in Dexter.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 0% in Dexter.
- The percentage of residents identifying as two or more races is higher in Mount pocono at 4%, compared to 0% in Dexter.
- The percentage of American Indian residents is the same in both Dexter and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dexter | Mount pocono |
|---|---|---|
| Mental Health Not Good | 15.5% | 16.1% |
| Physical Health Not Good | 9.4% | 11.8% |
| Depression | 22.6% | 20.1% |
| Smoking | 18.5% | 18.1% |
| Binge Drinking | 20.4% | 16.1% |
| Obesity | 34.1% | 34.3% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Dexter vs Mount pocono
- In Mount pocono, a higher percentage report poor mental health at 16.1% compared to 15.5% in Dexter.
- Depression is more prevalent in Dexter at 22.6% compared to 20.1% in Mount pocono.
- Smoking is more prevalent in Dexter at 18.5% compared to 18.1% in Mount pocono.
- Binge drinking is more common in Dexter at 20.4% compared to 16.1% in Mount pocono.
- Mount pocono has higher obesity rates at 34.3% compared to 34.1% in Dexter.
- Disability percentages are higher in Dexter at 14.0% 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 | Dexter | Mount pocono |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.2% (98) |
| High School Diploma | 31.0% (100) | 27.4% (842) |
| Less than High School | 9.3% (30) | 18.1% (555) |
| Bachelor's Degree and Higher | 7.1% (23) | 15.9% (488) |
Education Levels Comparison: Dexter vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.0% in Dexter.
- A higher percentage of residents in Dexter hold a high school diploma at 31.0% compared to 27.4% in Mount pocono.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 9.3% in Dexter.
- In Mount pocono, a larger share of residents have a bachelor's degree or higher at 15.9% compared to 7.1% in Dexter.
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.