Demographics details for Aurora, NE vs Pleasanton, CA
Population Overview
Compare main population characteristics in Aurora, NE vs Pleasanton, CA.
| Data | Aurora | Pleasanton |
|---|---|---|
| Population | 4,648 | 76,689 |
| Median Age | 39.2 years | 41.5 years |
| Median Income | $66,328 | $181,639 |
| Married Families | 44.0% | 53.0% |
| Poverty Level | 9% | 7% |
| Unemployment Rate | 2.3 | 4.3 |
Population Comparison: Aurora vs Pleasanton
- The population in Pleasanton is higher at 76,689, compared to 4,648 in Aurora.
- The median age in Pleasanton is higher at 41.5 years, compared to 39.2 years in Aurora.
- Pleasanton has a higher median income of $181,639, compared to $66,328 in Aurora.
- In Pleasanton, the percentage of married families is higher at 53.0%, compared to 44.0% in Aurora.
- Aurora has a higher poverty level at 9% compared to 7% in Pleasanton.
- Pleasanton has a higher unemployment rate at 4.3% compared to 2.3% in Aurora.
Demographics
Demographics Aurora vs Pleasanton provide insight into the diversity of the communities to compare.
| Demographic | Aurora | Pleasanton |
|---|---|---|
| Black | Data is updating | 2 |
| White | 93 | 37 |
| Asian | Data is updating | 42 |
| Hispanic | 3 | 12 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Aurora vs Pleasanton
- In Pleasanton, the percentage of Black residents is higher at 2% compared to 0% in Aurora.
- Aurora has a higher percentage of White residents at 93% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 0% in Aurora.
- Pleasanton has a higher percentage of Hispanic residents at 12%, compared to 3% in Aurora.
- The percentage of residents identifying as two or more races is higher in Pleasanton at 7%, compared to 4% in Aurora.
- The percentage of American Indian residents is the same in both Aurora and Pleasanton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Aurora | Pleasanton |
|---|---|---|
| Mental Health Not Good | 12.7% | 13.1% |
| Physical Health Not Good | 8.4% | 7.3% |
| Depression | 16.5% | 17.6% |
| Smoking | 13.7% | 7.2% |
| Binge Drinking | 21.7% | 17.2% |
| Obesity | 40.6% | 22.9% |
| Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Aurora vs Pleasanton
- In Pleasanton, a higher percentage report poor mental health at 13.1% compared to 12.7% in Aurora.
- Higher depression rates are seen in Pleasanton at 17.6% versus 16.5% in Aurora.
- Smoking is more prevalent in Aurora at 13.7% compared to 7.2% in Pleasanton.
- Binge drinking is more common in Aurora at 21.7% compared to 17.2% in Pleasanton.
- Obesity rates are higher in Aurora at 40.6% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Aurora at 12.0% compared to 8.0% in Pleasanton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Aurora | Pleasanton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (407) |
| High School Diploma | 14.5% (673) | 6.2% (4,722) |
| Less than High School | 2.3% (108) | 3.8% (2,941) |
| Bachelor's Degree and Higher | 14.7% (684) | 49.3% (37,825) |
Education Levels Comparison: Aurora vs Pleasanton
- In Pleasanton, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Aurora.
- A higher percentage of residents in Aurora hold a high school diploma at 14.5% compared to 6.2% in Pleasanton.
- The percentage of residents with less than a high school education is higher in Pleasanton at 3.8%, compared to 2.3% in Aurora.
- In Pleasanton, a larger share of residents have a bachelor's degree or higher at 49.3% compared to 14.7% in Aurora.
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.