Demographics details for Milford, UT vs Paupack, PA
Population Overview
Compare main population characteristics in Milford, UT vs Paupack, PA.
| Data | Milford | Paupack |
|---|---|---|
| Population | 1,454 | 1,000 |
| Median Age | 24.8 years | 42.0 years |
| Median Income | $83,783 | $60,000 |
| Married Families | 50.0% | 300.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Milford vs Paupack
- In Milford, the population is higher at 1,454, compared to 1,000 in Paupack.
- The median age in Paupack is higher at 42.0 years, compared to 24.8 years in Milford.
- Milford has a higher median income of $83,783 compared to $60,000 in Paupack.
- In Paupack, the percentage of married families is higher at 300.0%, compared to 50.0% in Milford.
- Milford has a higher poverty level at 10% compared to 8% in Paupack.
- Paupack has a higher unemployment rate at 4.0% compared to 3.2% in Milford.
Demographics
Demographics Milford vs Paupack provide insight into the diversity of the communities to compare.
| Demographic | Milford | Paupack |
|---|---|---|
| Black | Data is updating | 2 |
| White | 74 | 90 |
| Asian | Data is updating | 5 |
| Hispanic | 19 | 3 |
| Two or More Races | 6 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Milford vs Paupack
- In Paupack, the percentage of Black residents is higher at 2% compared to 0% in Milford.
- The percentage of White residents is higher in Paupack at 90% compared to 74% in Milford.
- In Paupack, the Asian population stands at 5%, greater than 0% in Milford.
- The Hispanic community is larger in Milford at 19% compared to 3% in Paupack.
- More residents identify as two or more races in Milford at 6% compared to 0% in Paupack.
- A greater percentage of American Indian residents live in Milford at 1% compared to 0% in Paupack.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milford | Paupack |
|---|---|---|
| Mental Health Not Good | 17.2% | Data is updating% |
| Physical Health Not Good | 12.0% | Data is updating% |
| Depression | 23.5% | Data is updating% |
| Smoking | 12.4% | Data is updating% |
| Binge Drinking | 13.2% | Data is updating% |
| Obesity | 34.2% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Milford vs Paupack
- More residents in Milford report poor mental health at 17.2% compared to 0.0% in Paupack.
- Depression is more prevalent in Milford at 23.5% compared to 0.0% in Paupack.
- Smoking is more prevalent in Milford at 12.4% compared to 0.0% in Paupack.
- Binge drinking is more common in Milford at 13.2% compared to 0.0% in Paupack.
- Obesity rates are higher in Milford at 34.2% compared to 0.0% in Paupack.
- Disability percentages are higher in Milford at 14.0% compared to 0.0% in Paupack.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milford | Paupack |
|---|---|---|
| No Schooling | 0.3% (5) | 0.0% (Data is updating) |
| High School Diploma | 14.7% (214) | 0.0% (Data is updating) |
| Less than High School | 3.1% (45) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 16.8% (244) | 0.0% (Data is updating) |
Education Levels Comparison: Milford vs Paupack
- A higher percentage of residents in Milford have no formal schooling at 0.3% compared to 0.0% in Paupack.
- A higher percentage of residents in Milford hold a high school diploma at 14.7% compared to 0.0% in Paupack.
- More residents in Milford have less than a high school education at 3.1% compared to 0.0% in Paupack.
- A higher percentage of residents in Milford hold a bachelor's degree or higher at 16.8% compared to 0.0% in Paupack.
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.