Demographics details for Evansville, IN vs Pleasanton, CA
Population Overview
Compare main population characteristics in Evansville, IN vs Pleasanton, CA.
| Data | Evansville | Pleasanton |
|---|---|---|
| Population | 115,749 | 76,689 |
| Median Age | 38.1 years | 41.5 years |
| Median Income | $49,853 | $181,639 |
| Married Families | 33.0% | 53.0% |
| Poverty Level | 13% | 7% |
| Unemployment Rate | 4.4 | 4.3 |
Population Comparison: Evansville vs Pleasanton
- In Evansville, the population is higher at 115,749, compared to 76,689 in Pleasanton.
- The median age in Pleasanton is higher at 41.5 years, compared to 38.1 years in Evansville.
- Pleasanton has a higher median income of $181,639, compared to $49,853 in Evansville.
- In Pleasanton, the percentage of married families is higher at 53.0%, compared to 33.0% in Evansville.
- Evansville has a higher poverty level at 13% compared to 7% in Pleasanton.
- The unemployment rate in Evansville is higher at 4.4%, compared to 4.3% in Pleasanton.
Demographics
Demographics Evansville vs Pleasanton provide insight into the diversity of the communities to compare.
| Demographic | Evansville | Pleasanton |
|---|---|---|
| Black | 14 | 2 |
| White | 76 | 37 |
| Asian | 1 | 42 |
| Hispanic | 4 | 12 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Evansville vs Pleasanton
- A higher percentage of Black residents are in Evansville at 14% compared to 2% in Pleasanton.
- Evansville has a higher percentage of White residents at 76% compared to 37% in Pleasanton.
- In Pleasanton, the Asian population stands at 42%, greater than 1% in Evansville.
- Pleasanton has a higher percentage of Hispanic residents at 12%, compared to 4% in Evansville.
- The percentage of residents identifying as two or more races is higher in Pleasanton at 7%, compared to 5% in Evansville.
- The percentage of American Indian residents is the same in both Evansville and Pleasanton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Evansville | Pleasanton |
|---|---|---|
| Mental Health Not Good | 19.5% | 13.1% |
| Physical Health Not Good | 13.8% | 7.3% |
| Depression | 27.6% | 17.6% |
| Smoking | 23.2% | 7.2% |
| Binge Drinking | 15.9% | 17.2% |
| Obesity | 44.3% | 22.9% |
| Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Evansville vs Pleasanton
- More residents in Evansville report poor mental health at 19.5% compared to 13.1% in Pleasanton.
- Depression is more prevalent in Evansville at 27.6% compared to 17.6% in Pleasanton.
- Smoking is more prevalent in Evansville at 23.2% compared to 7.2% in Pleasanton.
- More residents engage in binge drinking in Pleasanton at 17.2% compared to 15.9% in Evansville.
- Obesity rates are higher in Evansville at 44.3% compared to 22.9% in Pleasanton.
- Disability percentages are higher in Evansville 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 | Evansville | Pleasanton |
|---|---|---|
| No Schooling | 0.8% (939) | 0.5% (407) |
| High School Diploma | 20.0% (23,144) | 6.2% (4,722) |
| Less than High School | 13.6% (15,701) | 3.8% (2,941) |
| Bachelor's Degree and Higher | 15.7% (18,125) | 49.3% (37,825) |
Education Levels Comparison: Evansville vs Pleasanton
- A higher percentage of residents in Evansville have no formal schooling at 0.8% compared to 0.5% in Pleasanton.
- A higher percentage of residents in Evansville hold a high school diploma at 20.0% compared to 6.2% in Pleasanton.
- More residents in Evansville have less than a high school education at 13.6% 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 15.7% in Evansville.
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.