Demographics details for South bend, IN vs Windber, PA
Population Overview
Compare main population characteristics in South bend, IN vs Windber, PA.
| Data | South bend | Windber |
|---|---|---|
| Population | 103,110 | 3,875 |
| Median Age | 33.4 years | 41.5 years |
| Median Income | $49,056 | $48,299 |
| Married Families | 28.0% | 38.0% |
| Poverty Level | 16% | 9% |
| Unemployment Rate | 5.2 | 5.1 |
Population Comparison: South bend vs Windber
- In South bend, the population is higher at 103,110, compared to 3,875 in Windber.
- The median age in Windber is higher at 41.5 years, compared to 33.4 years in South bend.
- South bend has a higher median income of $49,056 compared to $48,299 in Windber.
- In Windber, the percentage of married families is higher at 38.0%, compared to 28.0% in South bend.
- South bend has a higher poverty level at 16% compared to 9% in Windber.
- The unemployment rate in South bend is higher at 5.2%, compared to 5.1% in Windber.
Demographics
Demographics South bend vs Windber provide insight into the diversity of the communities to compare.
| Demographic | South bend | Windber |
|---|---|---|
| Black | 25 | Data is updating |
| White | 47 | 99 |
| Asian | 2 | Data is updating |
| Hispanic | 16 | Data is updating |
| Two or More Races | 10 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: South bend vs Windber
- A higher percentage of Black residents are in South bend at 25% compared to 0% in Windber.
- The percentage of White residents is higher in Windber at 99% compared to 47% in South bend.
- The Asian population is larger in South bend at 2% compared to 0% in Windber.
- The Hispanic community is larger in South bend at 16% compared to 0% in Windber.
- More residents identify as two or more races in South bend at 10% compared to 1% in Windber.
- The percentage of American Indian residents is the same in both South bend and Windber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South bend | Windber |
|---|---|---|
| Mental Health Not Good | 19.2% | 18.8% |
| Physical Health Not Good | 14.0% | 13.5% |
| Depression | 24.9% | 24.8% |
| Smoking | 22.4% | 23.4% |
| Binge Drinking | 14.6% | 18.1% |
| Obesity | 40.3% | 41.2% |
| Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: South bend vs Windber
- More residents in South bend report poor mental health at 19.2% compared to 18.8% in Windber.
- Depression is more prevalent in South bend at 24.9% compared to 24.8% in Windber.
- Windber has a higher smoking rate at 23.4% compared to 22.4% in South bend.
- More residents engage in binge drinking in Windber at 18.1% compared to 14.6% in South bend.
- Windber has higher obesity rates at 41.2% compared to 40.3% in South bend.
- Disability percentages are higher in South bend at 14.0% compared to 13.0% in Windber.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South bend | Windber |
|---|---|---|
| No Schooling | 1.2% (1,199) | 0.6% (24) |
| High School Diploma | 14.9% (15,409) | 38.3% (1,484) |
| Less than High School | 13.0% (13,380) | 6.9% (268) |
| Bachelor's Degree and Higher | 18.2% (18,716) | 12.8% (496) |
Education Levels Comparison: South bend vs Windber
- A higher percentage of residents in South bend have no formal schooling at 1.2% compared to 0.6% in Windber.
- In Windber, the rate of residents with high school diplomas is higher at 38.3% compared to 14.9% in South bend.
- More residents in South bend have less than a high school education at 13.0% compared to 6.9% in Windber.
- A higher percentage of residents in South bend hold a bachelor's degree or higher at 18.2% compared to 12.8% in Windber.
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.