Demographics details for Pottersville, NY vs Pleasanton, CA
Population Overview
Compare main population characteristics in Pottersville, NY vs Pleasanton, CA.
Data | Pottersville | Pleasanton |
---|---|---|
Population | 149 | 76,689 |
Median Age | 34.7 years | 41.5 years |
Median Income | $57,708 | $181,639 |
Married Families | 25.0% | 53.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Pottersville vs Pleasanton
- The population in Pleasanton is higher at 76,689, compared to 149 in Pottersville.
- The median age in Pleasanton is higher at 41.5 years, compared to 34.7 years in Pottersville.
- Pleasanton has a higher median income of $181,639, compared to $57,708 in Pottersville.
- In Pleasanton, the percentage of married families is higher at 53.0%, compared to 25.0% in Pottersville.
- Pottersville has a higher poverty level at 10% compared to 7% in Pleasanton.
- The unemployment rate in Pottersville is higher at 4.5%, compared to 4.3% in Pleasanton.
Demographics
Demographics Pottersville vs Pleasanton provide insight into the diversity of the communities to compare.
Demographic | Pottersville | Pleasanton |
---|---|---|
Black | 2 | 2 |
White | 61 | 37 |
Asian | 3 | 42 |
Hispanic | 1 | 12 |
Two or More Races | 33 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pottersville vs Pleasanton
- The percentage of Black residents is the same in both Pottersville and Pleasanton at 2%.
- Pottersville has a higher percentage of White residents at 61% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 3% in Pottersville.
- Pleasanton has a higher percentage of Hispanic residents at 12%, compared to 1% in Pottersville.
- More residents identify as two or more races in Pottersville at 33% compared to 7% in Pleasanton.
- The percentage of American Indian residents is the same in both Pottersville and Pleasanton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pottersville | Pleasanton |
---|---|---|
Mental Health Not Good | 15.2% | 13.1% |
Physical Health Not Good | 10.2% | 7.3% |
Depression | 24.8% | 17.6% |
Smoking | 17.5% | 7.2% |
Binge Drinking | 20.3% | 17.2% |
Obesity | 32.3% | 22.9% |
Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Pottersville vs Pleasanton
- More residents in Pottersville report poor mental health at 15.2% compared to 13.1% in Pleasanton.
- Depression is more prevalent in Pottersville at 24.8% compared to 17.6% in Pleasanton.
- Smoking is more prevalent in Pottersville at 17.5% compared to 7.2% in Pleasanton.
- Binge drinking is more common in Pottersville at 20.3% compared to 17.2% in Pleasanton.
- Obesity rates are higher in Pottersville at 32.3% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Pottersville at 11.0% 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 | Pottersville | Pleasanton |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (407) |
High School Diploma | 10.7% (16) | 6.2% (4,722) |
Less than High School | 16.1% (24) | 3.8% (2,941) |
Bachelor's Degree and Higher | 15.4% (23) | 49.3% (37,825) |
Education Levels Comparison: Pottersville vs Pleasanton
- In Pleasanton, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Pottersville.
- A higher percentage of residents in Pottersville hold a high school diploma at 10.7% compared to 6.2% in Pleasanton.
- More residents in Pottersville have less than a high school education at 16.1% 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 15.4% in Pottersville.
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.