Demographics details for Orefield, PA vs Winger, MN
Population Overview
Compare main population characteristics in Orefield, PA vs Winger, MN.
| Data | Orefield | Winger |
|---|---|---|
| Population | 945 | 173 |
| Median Age | 40.0 years | 48.8 years |
| Median Income | $72,000 | $42,500 |
| Married Families | 65.0% | 37.0% |
| Poverty Level | 4% | Data is updating |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Orefield vs Winger
- In Orefield, the population is higher at 945, compared to 173 in Winger.
- The median age in Winger is higher at 48.8 years, compared to 40.0 years in Orefield.
- Orefield has a higher median income of $72,000 compared to $42,500 in Winger.
- A higher percentage of married families is found in Orefield at 65.0% compared to 37.0% in Winger.
- Orefield has a higher poverty level at 4% compared to 0% in Winger.
- Winger has a higher unemployment rate at 4.5% compared to 3.0% in Orefield.
Demographics
Demographics Orefield vs Winger provide insight into the diversity of the communities to compare.
| Demographic | Orefield | Winger |
|---|---|---|
| Black | 2 | Data is updating |
| White | 90 | 88 |
| Asian | 2 | 1 |
| Hispanic | 3 | Data is updating |
| Two or More Races | 3 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Orefield vs Winger
- A higher percentage of Black residents are in Orefield at 2% compared to 0% in Winger.
- Orefield has a higher percentage of White residents at 90% compared to 88% in Winger.
- The Asian population is larger in Orefield at 2% compared to 1% in Winger.
- The Hispanic community is larger in Orefield at 3% compared to 0% in Winger.
- The percentage of residents identifying as two or more races is higher in Winger at 10%, compared to 3% in Orefield.
- In Winger, the percentage of American Indian residents is higher at 1%, compared to 0% in Orefield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orefield | Winger |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.5% |
| Physical Health Not Good | Data is updating% | 9.9% |
| Depression | Data is updating% | 24.3% |
| Smoking | Data is updating% | 19.8% |
| Binge Drinking | Data is updating% | 21.9% |
| Obesity | Data is updating% | 39.6% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Orefield vs Winger
- In Winger, a higher percentage report poor mental health at 15.5% compared to 0.0% in Orefield.
- Higher depression rates are seen in Winger at 24.3% versus 0.0% in Orefield.
- Winger has a higher smoking rate at 19.8% compared to 0.0% in Orefield.
- More residents engage in binge drinking in Winger at 21.9% compared to 0.0% in Orefield.
- Winger has higher obesity rates at 39.6% compared to 0.0% in Orefield.
- There is a higher percentage of disabled individuals in Winger at 16.0% compared to 0.0% in Orefield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orefield | Winger |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.3% (4) |
| High School Diploma | 0.0% (Data is updating) | 14.5% (25) |
| Less than High School | 0.0% (Data is updating) | 20.2% (35) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.7% (22) |
Education Levels Comparison: Orefield vs Winger
- In Winger, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Orefield.
- In Winger, the rate of residents with high school diplomas is higher at 14.5% compared to 0.0% in Orefield.
- The percentage of residents with less than a high school education is higher in Winger at 20.2%, compared to 0.0% in Orefield.
- In Winger, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 0.0% in Orefield.
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.