Demographics details for Evansville, IN vs Windber, PA
Population Overview
Compare main population characteristics in Evansville, IN vs Windber, PA.
| Data | Evansville | Windber |
|---|---|---|
| Population | 115,749 | 3,875 |
| Median Age | 38.1 years | 41.5 years |
| Median Income | $49,853 | $48,299 |
| Married Families | 33.0% | 38.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 4.4 | 5.1 |
Population Comparison: Evansville vs Windber
- In Evansville, the population is higher at 115,749, compared to 3,875 in Windber.
- The median age in Windber is higher at 41.5 years, compared to 38.1 years in Evansville.
- Evansville has a higher median income of $49,853 compared to $48,299 in Windber.
- In Windber, the percentage of married families is higher at 38.0%, compared to 33.0% in Evansville.
- Evansville has a higher poverty level at 13% compared to 9% in Windber.
- Windber has a higher unemployment rate at 5.1% compared to 4.4% in Evansville.
Demographics
Demographics Evansville vs Windber provide insight into the diversity of the communities to compare.
| Demographic | Evansville | Windber |
|---|---|---|
| Black | 14 | Data is updating |
| White | 76 | 99 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Evansville vs Windber
- A higher percentage of Black residents are in Evansville at 14% compared to 0% in Windber.
- The percentage of White residents is higher in Windber at 99% compared to 76% in Evansville.
- The Asian population is larger in Evansville at 1% compared to 0% in Windber.
- The Hispanic community is larger in Evansville at 4% compared to 0% in Windber.
- More residents identify as two or more races in Evansville at 5% compared to 1% in Windber.
- The percentage of American Indian residents is the same in both Evansville and Windber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Evansville | Windber |
|---|---|---|
| Mental Health Not Good | 19.5% | 18.8% |
| Physical Health Not Good | 13.8% | 13.5% |
| Depression | 27.6% | 24.8% |
| Smoking | 23.2% | 23.4% |
| Binge Drinking | 15.9% | 18.1% |
| Obesity | 44.3% | 41.2% |
| Disability Percentage | 18.0% | 13.0% |
Health Statistics Comparison: Evansville vs Windber
- More residents in Evansville report poor mental health at 19.5% compared to 18.8% in Windber.
- Depression is more prevalent in Evansville at 27.6% compared to 24.8% in Windber.
- Windber has a higher smoking rate at 23.4% compared to 23.2% in Evansville.
- More residents engage in binge drinking in Windber at 18.1% compared to 15.9% in Evansville.
- Obesity rates are higher in Evansville at 44.3% compared to 41.2% in Windber.
- Disability percentages are higher in Evansville at 18.0% 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 | Evansville | Windber |
|---|---|---|
| No Schooling | 0.8% (939) | 0.6% (24) |
| High School Diploma | 20.0% (23,144) | 38.3% (1,484) |
| Less than High School | 13.6% (15,701) | 6.9% (268) |
| Bachelor's Degree and Higher | 15.7% (18,125) | 12.8% (496) |
Education Levels Comparison: Evansville vs Windber
- A higher percentage of residents in Evansville have no formal schooling at 0.8% compared to 0.6% in Windber.
- In Windber, the rate of residents with high school diplomas is higher at 38.3% compared to 20.0% in Evansville.
- More residents in Evansville have less than a high school education at 13.6% compared to 6.9% in Windber.
- A higher percentage of residents in Evansville hold a bachelor's degree or higher at 15.7% 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.