Demographics details for Mercer, PA vs Pleasanton, CA
Population Overview
Compare main population characteristics in Mercer, PA vs Pleasanton, CA.
Data | Mercer | Pleasanton |
---|---|---|
Population | 109,220 | 76,689 |
Median Age | 45.0 years | 41.5 years |
Median Income | $57,353 | $181,639 |
Married Families | 42.0% | 53.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 4.2 | 4.3 |
Population Comparison: Mercer vs Pleasanton
- In Mercer, the population is higher at 109,220, compared to 76,689 in Pleasanton.
- Residents in Mercer 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 $57,353 in Mercer.
- In Pleasanton, the percentage of married families is higher at 53.0%, compared to 42.0% in Mercer.
- Mercer has a higher poverty level at 10% compared to 7% in Pleasanton.
- Pleasanton has a higher unemployment rate at 4.3% compared to 4.2% in Mercer.
Demographics
Demographics Mercer vs Pleasanton provide insight into the diversity of the communities to compare.
Demographic | Mercer | Pleasanton |
---|---|---|
Black | 6 | 2 |
White | 87 | 37 |
Asian | 1 | 42 |
Hispanic | 2 | 12 |
Two or More Races | 4 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mercer vs Pleasanton
- A higher percentage of Black residents are in Mercer at 6% compared to 2% in Pleasanton.
- Mercer has a higher percentage of White residents at 87% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 1% in Mercer.
- Pleasanton has a higher percentage of Hispanic residents at 12%, compared to 2% in Mercer.
- The percentage of residents identifying as two or more races is higher in Pleasanton at 7%, compared to 4% in Mercer.
- The percentage of American Indian residents is the same in both Mercer and Pleasanton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mercer | Pleasanton |
---|---|---|
Mental Health Not Good | 17.8% | 13.1% |
Physical Health Not Good | 12.1% | 7.3% |
Depression | 23.7% | 17.6% |
Smoking | 20.1% | 7.2% |
Binge Drinking | 18.5% | 17.2% |
Obesity | 40.3% | 22.9% |
Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Mercer vs Pleasanton
- More residents in Mercer report poor mental health at 17.8% compared to 13.1% in Pleasanton.
- Depression is more prevalent in Mercer at 23.7% compared to 17.6% in Pleasanton.
- Smoking is more prevalent in Mercer at 20.1% compared to 7.2% in Pleasanton.
- Binge drinking is more common in Mercer at 18.5% compared to 17.2% in Pleasanton.
- Obesity rates are higher in Mercer at 40.3% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Mercer at 18.0% 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 | Mercer | Pleasanton |
---|---|---|
No Schooling | 0.6% (662) | 0.5% (407) |
High School Diploma | 26.5% (28,924) | 6.2% (4,722) |
Less than High School | 13.0% (14,161) | 3.8% (2,941) |
Bachelor's Degree and Higher | 17.4% (19,021) | 49.3% (37,825) |
Education Levels Comparison: Mercer vs Pleasanton
- A higher percentage of residents in Mercer have no formal schooling at 0.6% compared to 0.5% in Pleasanton.
- A higher percentage of residents in Mercer hold a high school diploma at 26.5% compared to 6.2% in Pleasanton.
- More residents in Mercer have less than a high school education at 13.0% compared to 3.8% in Pleasanton.
- In Pleasanton, a larger share of residents have a bachelor's degree or higher at 49.3% compared to 17.4% in Mercer.
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.