Demographics details for Pleasanton, CA vs Danube, MN
Population Overview
Compare main population characteristics in Pleasanton, CA vs Danube, MN.
| Data | Pleasanton | Danube |
|---|---|---|
| Population | 76,689 | 450 |
| Median Age | 41.5 years | 36.0 years |
| Median Income | $181,639 | $57,083 |
| Married Families | 53.0% | 41.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Pleasanton vs Danube
- In Pleasanton, the population is higher at 76,689, compared to 450 in Danube.
- Residents in Pleasanton have a higher median age of 41.5 years compared to 36.0 years in Danube.
- Pleasanton has a higher median income of $181,639 compared to $57,083 in Danube.
- A higher percentage of married families is found in Pleasanton at 53.0% compared to 41.0% in Danube.
- Pleasanton has a higher poverty level at 7% compared to 5% in Danube.
- The unemployment rate in Pleasanton is higher at 4.3%, compared to 4.2% in Danube.
Demographics
Demographics Pleasanton vs Danube provide insight into the diversity of the communities to compare.
| Demographic | Pleasanton | Danube |
|---|---|---|
| Black | 2 | Data is updating |
| White | 37 | 95 |
| Asian | 42 | Data is updating |
| Hispanic | 12 | 5 |
| Two or More Races | 7 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pleasanton vs Danube
- A higher percentage of Black residents are in Pleasanton at 2% compared to 0% in Danube.
- The percentage of White residents is higher in Danube at 95% compared to 37% in Pleasanton.
- The Asian population is larger in Pleasanton at 42% compared to 0% in Danube.
- The Hispanic community is larger in Pleasanton at 12% compared to 5% in Danube.
- More residents identify as two or more races in Pleasanton at 7% compared to 0% in Danube.
- The percentage of American Indian residents is the same in both Pleasanton and Danube at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pleasanton | Danube |
|---|---|---|
| Mental Health Not Good | 13.1% | 15.2% |
| Physical Health Not Good | 7.3% | 9.9% |
| Depression | 17.6% | 23.3% |
| Smoking | 7.2% | 18.5% |
| Binge Drinking | 17.2% | 19.6% |
| Obesity | 22.9% | 37.8% |
| Disability Percentage | 8.0% | 12.0% |
Health Statistics Comparison: Pleasanton vs Danube
- In Danube, a higher percentage report poor mental health at 15.2% compared to 13.1% in Pleasanton.
- Higher depression rates are seen in Danube at 23.3% versus 17.6% in Pleasanton.
- Danube has a higher smoking rate at 18.5% compared to 7.2% in Pleasanton.
- More residents engage in binge drinking in Danube at 19.6% compared to 17.2% in Pleasanton.
- Danube has higher obesity rates at 37.8% compared to 22.9% in Pleasanton.
- There is a higher percentage of disabled individuals in Danube 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 | Pleasanton | Danube |
|---|---|---|
| No Schooling | 0.5% (407) | 0.0% (Data is updating) |
| High School Diploma | 6.2% (4,722) | 19.3% (87) |
| Less than High School | 3.8% (2,941) | 10.4% (47) |
| Bachelor's Degree and Higher | 49.3% (37,825) | 5.8% (26) |
Education Levels Comparison: Pleasanton vs Danube
- A higher percentage of residents in Pleasanton have no formal schooling at 0.5% compared to 0.0% in Danube.
- In Danube, the rate of residents with high school diplomas is higher at 19.3% compared to 6.2% in Pleasanton.
- The percentage of residents with less than a high school education is higher in Danube at 10.4%, compared to 3.8% in Pleasanton.
- A higher percentage of residents in Pleasanton hold a bachelor's degree or higher at 49.3% compared to 5.8% in Danube.
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.