Demographics details for Indiana, PA vs Pleasanton, CA
Population Overview
Compare main population characteristics in Indiana, PA vs Pleasanton, CA.
| Data | Indiana | Pleasanton |
|---|---|---|
| Population | 14,205 | 76,689 |
| Median Age | 21.8 years | 41.5 years |
| Median Income | $40,013 | $181,639 |
| Married Families | 21.0% | 53.0% |
| Poverty Level | 17% | 7% |
| Unemployment Rate | 3.9 | 4.3 |
Population Comparison: Indiana vs Pleasanton
- The population in Pleasanton is higher at 76,689, compared to 14,205 in Indiana.
- The median age in Pleasanton is higher at 41.5 years, compared to 21.8 years in Indiana.
- Pleasanton has a higher median income of $181,639, compared to $40,013 in Indiana.
- In Pleasanton, the percentage of married families is higher at 53.0%, compared to 21.0% in Indiana.
- Indiana has a higher poverty level at 17% compared to 7% in Pleasanton.
- Pleasanton has a higher unemployment rate at 4.3% compared to 3.9% in Indiana.
Demographics
Demographics Indiana vs Pleasanton provide insight into the diversity of the communities to compare.
| Demographic | Indiana | Pleasanton |
|---|---|---|
| Black | 5 | 2 |
| White | 86 | 37 |
| Asian | 1 | 42 |
| Hispanic | 3 | 12 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Indiana vs Pleasanton
- A higher percentage of Black residents are in Indiana at 5% compared to 2% in Pleasanton.
- Indiana has a higher percentage of White residents at 86% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 1% in Indiana.
- Pleasanton has a higher percentage of Hispanic residents at 12%, compared to 3% in Indiana.
- The percentage of residents identifying as two or more races is higher in Pleasanton at 7%, compared to 5% in Indiana.
- The percentage of American Indian residents is the same in both Indiana and Pleasanton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Indiana | Pleasanton |
|---|---|---|
| Mental Health Not Good | 18.4% | 13.1% |
| Physical Health Not Good | 12.9% | 7.3% |
| Depression | 24.5% | 17.6% |
| Smoking | 20.1% | 7.2% |
| Binge Drinking | 17.1% | 17.2% |
| Obesity | 41.2% | 22.9% |
| Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Indiana vs Pleasanton
- More residents in Indiana report poor mental health at 18.4% compared to 13.1% in Pleasanton.
- Depression is more prevalent in Indiana at 24.5% compared to 17.6% in Pleasanton.
- Smoking is more prevalent in Indiana at 20.1% compared to 7.2% in Pleasanton.
- More residents engage in binge drinking in Pleasanton at 17.2% compared to 17.1% in Indiana.
- Obesity rates are higher in Indiana at 41.2% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Indiana 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 | Indiana | Pleasanton |
|---|---|---|
| No Schooling | 0.0% (3) | 0.5% (407) |
| High School Diploma | 7.7% (1,089) | 6.2% (4,722) |
| Less than High School | 3.2% (454) | 3.8% (2,941) |
| Bachelor's Degree and Higher | 19.7% (2,801) | 49.3% (37,825) |
Education Levels Comparison: Indiana vs Pleasanton
- In Pleasanton, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Indiana.
- A higher percentage of residents in Indiana hold a high school diploma at 7.7% 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 3.2% in Indiana.
- In Pleasanton, a larger share of residents have a bachelor's degree or higher at 49.3% compared to 19.7% in Indiana.
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.