Demographics details for Aurora, CO vs Mount union, PA
Population Overview
Compare main population characteristics in Aurora, CO vs Mount union, PA.
| Data | Aurora | Mount union |
|---|---|---|
| Population | 393,537 | 2,267 |
| Median Age | 35.1 years | 34.8 years |
| Median Income | $78,685 | $38,382 |
| Married Families | 36.0% | 25.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Aurora vs Mount union
- In Aurora, the population is higher at 393,537, compared to 2,267 in Mount union.
- Residents in Aurora have a higher median age of 35.1 years compared to 34.8 years in Mount union.
- Aurora has a higher median income of $78,685 compared to $38,382 in Mount union.
- A higher percentage of married families is found in Aurora at 36.0% compared to 25.0% in Mount union.
- The poverty level is higher in Mount union at 12%, compared to 11% in Aurora.
- The unemployment rate is the same in both Aurora and Mount union at 4.2%.
Demographics
Demographics Aurora vs Mount union provide insight into the diversity of the communities to compare.
| Demographic | Aurora | Mount union |
|---|---|---|
| Black | 16 | 8 |
| White | 35 | 87 |
| Asian | 6 | Data is updating |
| Hispanic | 29 | 1 |
| Two or More Races | 13 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Aurora vs Mount union
- A higher percentage of Black residents are in Aurora at 16% compared to 8% in Mount union.
- The percentage of White residents is higher in Mount union at 87% compared to 35% in Aurora.
- The Asian population is larger in Aurora at 6% compared to 0% in Mount union.
- The Hispanic community is larger in Aurora at 29% compared to 1% in Mount union.
- More residents identify as two or more races in Aurora at 13% compared to 4% in Mount union.
- A greater percentage of American Indian residents live in Aurora at 1% compared to 0% in Mount union.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aurora | Mount union |
|---|---|---|
| Mental Health Not Good | 15.6% | 20.7% |
| Physical Health Not Good | 10.8% | 15.3% |
| Depression | 20.4% | 25.6% |
| Smoking | 15.8% | 26.4% |
| Binge Drinking | 17.7% | 16.4% |
| Obesity | 28.2% | 43.0% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Aurora vs Mount union
- In Mount union, a higher percentage report poor mental health at 20.7% compared to 15.6% in Aurora.
- Higher depression rates are seen in Mount union at 25.6% versus 20.4% in Aurora.
- Mount union has a higher smoking rate at 26.4% compared to 15.8% in Aurora.
- Binge drinking is more common in Aurora at 17.7% compared to 16.4% in Mount union.
- Mount union has higher obesity rates at 43.0% compared to 28.2% in Aurora.
- There is a higher percentage of disabled individuals in Mount union at 20.0% 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 | Mount union |
|---|---|---|
| No Schooling | 1.8% (7,109) | 1.9% (43) |
| High School Diploma | 13.0% (51,046) | 28.5% (646) |
| Less than High School | 14.8% (58,325) | 16.3% (370) |
| Bachelor's Degree and Higher | 20.8% (81,674) | 6.3% (142) |
Education Levels Comparison: Aurora vs Mount union
- In Mount union, a larger percentage of residents lack formal schooling at 1.9% compared to 1.8% in Aurora.
- In Mount union, the rate of residents with high school diplomas is higher at 28.5% compared to 13.0% in Aurora.
- The percentage of residents with less than a high school education is higher in Mount union at 16.3%, compared to 14.8% in Aurora.
- A higher percentage of residents in Aurora hold a bachelor's degree or higher at 20.8% compared to 6.3% in Mount union.
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.