Demographics details for Cornelius, NC vs Windber, PA
Population Overview
Compare main population characteristics in Cornelius, NC vs Windber, PA.
| Data | Cornelius | Windber |
|---|---|---|
| Population | 32,294 | 3,875 |
| Median Age | 44.3 years | 41.5 years |
| Median Income | $107,969 | $48,299 |
| Married Families | 48.0% | 38.0% |
| Poverty Level | 4% | 9% |
| Unemployment Rate | 3.2 | 5.1 |
Population Comparison: Cornelius vs Windber
- In Cornelius, the population is higher at 32,294, compared to 3,875 in Windber.
- Residents in Cornelius have a higher median age of 44.3 years compared to 41.5 years in Windber.
- Cornelius has a higher median income of $107,969 compared to $48,299 in Windber.
- A higher percentage of married families is found in Cornelius at 48.0% compared to 38.0% in Windber.
- The poverty level is higher in Windber at 9%, compared to 4% in Cornelius.
- Windber has a higher unemployment rate at 5.1% compared to 3.2% in Cornelius.
Demographics
Demographics Cornelius vs Windber provide insight into the diversity of the communities to compare.
| Demographic | Cornelius | Windber |
|---|---|---|
| Black | 5 | Data is updating |
| White | 81 | 99 |
| Asian | 3 | Data is updating |
| Hispanic | 6 | Data is updating |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cornelius vs Windber
- A higher percentage of Black residents are in Cornelius at 5% compared to 0% in Windber.
- The percentage of White residents is higher in Windber at 99% compared to 81% in Cornelius.
- The Asian population is larger in Cornelius at 3% compared to 0% in Windber.
- The Hispanic community is larger in Cornelius at 6% compared to 0% in Windber.
- More residents identify as two or more races in Cornelius at 5% compared to 1% in Windber.
- The percentage of American Indian residents is the same in both Cornelius and Windber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cornelius | Windber |
|---|---|---|
| Mental Health Not Good | 13.3% | 18.8% |
| Physical Health Not Good | 8.0% | 13.5% |
| Depression | 21.6% | 24.8% |
| Smoking | 10.6% | 23.4% |
| Binge Drinking | 20.6% | 18.1% |
| Obesity | 29.5% | 41.2% |
| Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Cornelius vs Windber
- In Windber, a higher percentage report poor mental health at 18.8% compared to 13.3% in Cornelius.
- Higher depression rates are seen in Windber at 24.8% versus 21.6% in Cornelius.
- Windber has a higher smoking rate at 23.4% compared to 10.6% in Cornelius.
- Binge drinking is more common in Cornelius at 20.6% compared to 18.1% in Windber.
- Windber has higher obesity rates at 41.2% compared to 29.5% in Cornelius.
- There is a higher percentage of disabled individuals in Windber at 13.0% compared to 7.0% in Cornelius.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cornelius | Windber |
|---|---|---|
| No Schooling | 0.7% (220) | 0.6% (24) |
| High School Diploma | 6.7% (2,153) | 38.3% (1,484) |
| Less than High School | 3.5% (1,130) | 6.9% (268) |
| Bachelor's Degree and Higher | 40.9% (13,215) | 12.8% (496) |
Education Levels Comparison: Cornelius vs Windber
- A higher percentage of residents in Cornelius have no formal schooling at 0.7% compared to 0.6% in Windber.
- In Windber, the rate of residents with high school diplomas is higher at 38.3% compared to 6.7% in Cornelius.
- The percentage of residents with less than a high school education is higher in Windber at 6.9%, compared to 3.5% in Cornelius.
- A higher percentage of residents in Cornelius hold a bachelor's degree or higher at 40.9% 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.