Demographics details for Aurora, CO vs Williamsport, PA
Population Overview
Compare main population characteristics in Aurora, CO vs Williamsport, PA.
| Data | Aurora | Williamsport |
|---|---|---|
| Population | 393,537 | 27,403 |
| Median Age | 35.1 years | 30.3 years |
| Median Income | $78,685 | $48,388 |
| Married Families | 36.0% | 24.0% |
| Poverty Level | 11% | 16% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Aurora vs Williamsport
- In Aurora, the population is higher at 393,537, compared to 27,403 in Williamsport.
- Residents in Aurora have a higher median age of 35.1 years compared to 30.3 years in Williamsport.
- Aurora has a higher median income of $78,685 compared to $48,388 in Williamsport.
- A higher percentage of married families is found in Aurora at 36.0% compared to 24.0% in Williamsport.
- The poverty level is higher in Williamsport at 16%, compared to 11% in Aurora.
- The unemployment rate in Aurora is higher at 4.2%, compared to 4.1% in Williamsport.
Demographics
Demographics Aurora vs Williamsport provide insight into the diversity of the communities to compare.
| Demographic | Aurora | Williamsport |
|---|---|---|
| Black | 16 | 14 |
| White | 35 | 75 |
| Asian | 6 | 1 |
| Hispanic | 29 | 3 |
| Two or More Races | 13 | 6 |
| American Indian | 1 | 1 |
Demographics Comparison: Aurora vs Williamsport
- A higher percentage of Black residents are in Aurora at 16% compared to 14% in Williamsport.
- The percentage of White residents is higher in Williamsport at 75% compared to 35% in Aurora.
- The Asian population is larger in Aurora at 6% compared to 1% in Williamsport.
- The Hispanic community is larger in Aurora at 29% compared to 3% in Williamsport.
- More residents identify as two or more races in Aurora at 13% compared to 6% in Williamsport.
- The percentage of American Indian residents is the same in both Aurora and Williamsport at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aurora | Williamsport |
|---|---|---|
| Mental Health Not Good | 15.6% | 18.9% |
| Physical Health Not Good | 10.8% | 13.7% |
| Depression | 20.4% | 24.6% |
| Smoking | 15.8% | 22.7% |
| Binge Drinking | 17.7% | 16.2% |
| Obesity | 28.2% | 40.4% |
| Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Aurora vs Williamsport
- In Williamsport, a higher percentage report poor mental health at 18.9% compared to 15.6% in Aurora.
- Higher depression rates are seen in Williamsport at 24.6% versus 20.4% in Aurora.
- Williamsport has a higher smoking rate at 22.7% compared to 15.8% in Aurora.
- Binge drinking is more common in Aurora at 17.7% compared to 16.2% in Williamsport.
- Williamsport has higher obesity rates at 40.4% compared to 28.2% in Aurora.
- There is a higher percentage of disabled individuals in Williamsport at 18.0% compared to 10.0% in Aurora.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Aurora | Williamsport |
|---|---|---|
| No Schooling | 1.8% (7,109) | 0.7% (186) |
| High School Diploma | 13.0% (51,046) | 16.4% (4,487) |
| Less than High School | 14.8% (58,325) | 12.8% (3,507) |
| Bachelor's Degree and Higher | 20.8% (81,674) | 16.1% (4,416) |
Education Levels Comparison: Aurora vs Williamsport
- A higher percentage of residents in Aurora have no formal schooling at 1.8% compared to 0.7% in Williamsport.
- In Williamsport, the rate of residents with high school diplomas is higher at 16.4% compared to 13.0% in Aurora.
- More residents in Aurora have less than a high school education at 14.8% compared to 12.8% in Williamsport.
- A higher percentage of residents in Aurora hold a bachelor's degree or higher at 20.8% compared to 16.1% in Williamsport.
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.