Demographics details for Pasadena, MD vs Sunnyside, WA
Population Overview
Compare main population characteristics in Pasadena, MD vs Sunnyside, WA.
| Data | Pasadena | Sunnyside |
|---|---|---|
| Population | 32,161 | 16,296 |
| Median Age | 35.1 years | 27.1 years |
| Median Income | $113,944 | $49,134 |
| Married Families | 43.0% | 31.0% |
| Poverty Level | 6% | 18% |
| Unemployment Rate | 4.5 | 5.3 |
Population Comparison: Pasadena vs Sunnyside
- In Pasadena, the population is higher at 32,161, compared to 16,296 in Sunnyside.
- Residents in Pasadena have a higher median age of 35.1 years compared to 27.1 years in Sunnyside.
- Pasadena has a higher median income of $113,944 compared to $49,134 in Sunnyside.
- A higher percentage of married families is found in Pasadena at 43.0% compared to 31.0% in Sunnyside.
- The poverty level is higher in Sunnyside at 18%, compared to 6% in Pasadena.
- Sunnyside has a higher unemployment rate at 5.3% compared to 4.5% in Pasadena.
Demographics
Demographics Pasadena vs Sunnyside provide insight into the diversity of the communities to compare.
| Demographic | Pasadena | Sunnyside |
|---|---|---|
| Black | 17 | Data is updating |
| White | 66 | -10 |
| Asian | 4 | 1 |
| Hispanic | 7 | 86 |
| Two or More Races | 6 | 22 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pasadena vs Sunnyside
- A higher percentage of Black residents are in Pasadena at 17% compared to 0% in Sunnyside.
- Pasadena has a higher percentage of White residents at 66% compared to -10% in Sunnyside.
- The Asian population is larger in Pasadena at 4% compared to 1% in Sunnyside.
- Sunnyside has a higher percentage of Hispanic residents at 86%, compared to 7% in Pasadena.
- The percentage of residents identifying as two or more races is higher in Sunnyside at 22%, compared to 6% in Pasadena.
- In Sunnyside, the percentage of American Indian residents is higher at 1%, compared to 0% in Pasadena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pasadena | Sunnyside |
|---|---|---|
| Mental Health Not Good | 15.4% | 19.4% |
| Physical Health Not Good | 9.3% | 18.4% |
| Depression | 21.4% | 22.8% |
| Smoking | 13.2% | 19.2% |
| Binge Drinking | 17.8% | 13.4% |
| Obesity | 35.6% | 44.5% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Pasadena vs Sunnyside
- In Sunnyside, a higher percentage report poor mental health at 19.4% compared to 15.4% in Pasadena.
- Higher depression rates are seen in Sunnyside at 22.8% versus 21.4% in Pasadena.
- Sunnyside has a higher smoking rate at 19.2% compared to 13.2% in Pasadena.
- Binge drinking is more common in Pasadena at 17.8% compared to 13.4% in Sunnyside.
- Sunnyside has higher obesity rates at 44.5% compared to 35.6% in Pasadena.
- There is a higher percentage of disabled individuals in Sunnyside at 11.0% compared to 10.0% in Pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pasadena | Sunnyside |
|---|---|---|
| No Schooling | 0.6% (191) | 3.3% (530) |
| High School Diploma | 17.5% (5,624) | 12.2% (1,985) |
| Less than High School | 8.8% (2,835) | 49.1% (8,000) |
| Bachelor's Degree and Higher | 23.8% (7,658) | 4.4% (710) |
Education Levels Comparison: Pasadena vs Sunnyside
- In Sunnyside, a larger percentage of residents lack formal schooling at 3.3% compared to 0.6% in Pasadena.
- A higher percentage of residents in Pasadena hold a high school diploma at 17.5% compared to 12.2% in Sunnyside.
- The percentage of residents with less than a high school education is higher in Sunnyside at 49.1%, compared to 8.8% in Pasadena.
- A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 23.8% compared to 4.4% in Sunnyside.
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.