Demographics details for Shunk, PA vs Pleasanton, CA
Population Overview
Compare main population characteristics in Shunk, PA vs Pleasanton, CA.
| Data | Shunk | Pleasanton |
|---|---|---|
| Population | 88 | 76,689 |
| Median Age | 45.0 years | 41.5 years |
| Median Income | $60,000 | $181,639 |
| Married Families | 55.0% | 53.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 5.0 | 4.3 |
Population Comparison: Shunk vs Pleasanton
- The population in Pleasanton is higher at 76,689, compared to 88 in Shunk.
- Residents in Shunk have a higher median age of 45.0 years compared to 41.5 years in Pleasanton.
- Pleasanton has a higher median income of $181,639, compared to $60,000 in Shunk.
- A higher percentage of married families is found in Shunk at 55.0% compared to 53.0% in Pleasanton.
- Shunk has a higher poverty level at 10% compared to 7% in Pleasanton.
- The unemployment rate in Shunk is higher at 5.0%, compared to 4.3% in Pleasanton.
Demographics
Demographics Shunk vs Pleasanton provide insight into the diversity of the communities to compare.
| Demographic | Shunk | Pleasanton |
|---|---|---|
| Black | Data is updating | 2 |
| White | 90 | 37 |
| Asian | Data is updating | 42 |
| Hispanic | 5 | 12 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Shunk vs Pleasanton
- In Pleasanton, the percentage of Black residents is higher at 2% compared to 0% in Shunk.
- Shunk has a higher percentage of White residents at 90% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 0% in Shunk.
- Pleasanton has a higher percentage of Hispanic residents at 12%, compared to 5% in Shunk.
- The percentage of residents identifying as two or more races is higher in Pleasanton at 7%, compared to 5% in Shunk.
- The percentage of American Indian residents is the same in both Shunk and Pleasanton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shunk | Pleasanton |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.1% |
| Physical Health Not Good | Data is updating% | 7.3% |
| Depression | Data is updating% | 17.6% |
| Smoking | Data is updating% | 7.2% |
| Binge Drinking | Data is updating% | 17.2% |
| Obesity | Data is updating% | 22.9% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Shunk vs Pleasanton
- In Pleasanton, a higher percentage report poor mental health at 13.1% compared to 0.0% in Shunk.
- Higher depression rates are seen in Pleasanton at 17.6% versus 0.0% in Shunk.
- Pleasanton has a higher smoking rate at 7.2% compared to 0.0% in Shunk.
- More residents engage in binge drinking in Pleasanton at 17.2% compared to 0.0% in Shunk.
- Pleasanton has higher obesity rates at 22.9% compared to 0.0% in Shunk.
- There is a higher percentage of disabled individuals in Pleasanton at 8.0% compared to 0.0% in Shunk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shunk | Pleasanton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (407) |
| High School Diploma | 0.0% (Data is updating) | 6.2% (4,722) |
| Less than High School | 0.0% (Data is updating) | 3.8% (2,941) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 49.3% (37,825) |
Education Levels Comparison: Shunk vs Pleasanton
- In Pleasanton, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Shunk.
- In Pleasanton, the rate of residents with high school diplomas is higher at 6.2% compared to 0.0% in Shunk.
- The percentage of residents with less than a high school education is higher in Pleasanton at 3.8%, compared to 0.0% in Shunk.
- In Pleasanton, a larger share of residents have a bachelor's degree or higher at 49.3% compared to 0.0% in Shunk.
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.