Demographics details for Windber, PA vs Abrams, WI
Population Overview
Compare main population characteristics in Windber, PA vs Abrams, WI.
| Data | Windber | Abrams |
|---|---|---|
| Population | 3,875 | 1,887 |
| Median Age | 41.5 years | 38.0 years |
| Median Income | $48,299 | $80,000 |
| Married Families | 38.0% | 70.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 5.1 | 3.0 |
Population Comparison: Windber vs Abrams
- In Windber, the population is higher at 3,875, compared to 1,887 in Abrams.
- Residents in Windber have a higher median age of 41.5 years compared to 38.0 years in Abrams.
- Abrams has a higher median income of $80,000, compared to $48,299 in Windber.
- In Abrams, the percentage of married families is higher at 70.0%, compared to 38.0% in Windber.
- Windber has a higher poverty level at 9% compared to 5% in Abrams.
- The unemployment rate in Windber is higher at 5.1%, compared to 3.0% in Abrams.
Demographics
Demographics Windber vs Abrams provide insight into the diversity of the communities to compare.
| Demographic | Windber | Abrams |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 99 | 95 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 1 |
| Two or More Races | 1 | 1 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Windber vs Abrams
- The percentage of Black residents is the same in both Windber and Abrams at 0%.
- Windber has a higher percentage of White residents at 99% compared to 95% in Abrams.
- In Abrams, the Asian population stands at 2%, greater than 0% in Windber.
- Abrams has a higher percentage of Hispanic residents at 1%, compared to 0% in Windber.
- Both Windber and Abrams have the same percentage of residents identifying as two or more races at 1%.
- In Abrams, the percentage of American Indian residents is higher at 1%, compared to 0% in Windber.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Windber | Abrams |
|---|---|---|
| Mental Health Not Good | 18.8% | Data is updating% |
| Physical Health Not Good | 13.5% | Data is updating% |
| Depression | 24.8% | Data is updating% |
| Smoking | 23.4% | Data is updating% |
| Binge Drinking | 18.1% | Data is updating% |
| Obesity | 41.2% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Windber vs Abrams
- More residents in Windber report poor mental health at 18.8% compared to 0.0% in Abrams.
- Depression is more prevalent in Windber at 24.8% compared to 0.0% in Abrams.
- Smoking is more prevalent in Windber at 23.4% compared to 0.0% in Abrams.
- Binge drinking is more common in Windber at 18.1% compared to 0.0% in Abrams.
- Obesity rates are higher in Windber at 41.2% compared to 0.0% in Abrams.
- Disability percentages are higher in Windber at 13.0% compared to 0.0% in Abrams.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Windber | Abrams |
|---|---|---|
| No Schooling | 0.6% (24) | 0.0% (Data is updating) |
| High School Diploma | 38.3% (1,484) | 0.0% (Data is updating) |
| Less than High School | 6.9% (268) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.8% (496) | 0.0% (Data is updating) |
Education Levels Comparison: Windber vs Abrams
- A higher percentage of residents in Windber have no formal schooling at 0.6% compared to 0.0% in Abrams.
- A higher percentage of residents in Windber hold a high school diploma at 38.3% compared to 0.0% in Abrams.
- More residents in Windber have less than a high school education at 6.9% compared to 0.0% in Abrams.
- A higher percentage of residents in Windber hold a bachelor's degree or higher at 12.8% compared to 0.0% in Abrams.
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.