Demographics details for Sunnyside, WA vs Marietta, GA
Population Overview
Compare main population characteristics in Sunnyside, WA vs Marietta, GA.
| Data | Sunnyside | Marietta |
|---|---|---|
| Population | 16,296 | 62,602 |
| Median Age | 27.1 years | 35.2 years |
| Median Income | $49,134 | $67,589 |
| Married Families | 31.0% | 31.0% |
| Poverty Level | 18% | 11% |
| Unemployment Rate | 5.3 | 3.5 |
Population Comparison: Sunnyside vs Marietta
- The population in Marietta is higher at 62,602, compared to 16,296 in Sunnyside.
- The median age in Marietta is higher at 35.2 years, compared to 27.1 years in Sunnyside.
- Marietta has a higher median income of $67,589, compared to $49,134 in Sunnyside.
- The percentage of married families is the same in both Sunnyside and Marietta at 31.0%.
- Sunnyside has a higher poverty level at 18% compared to 11% in Marietta.
- The unemployment rate in Sunnyside is higher at 5.3%, compared to 3.5% in Marietta.
Demographics
Demographics Sunnyside vs Marietta provide insight into the diversity of the communities to compare.
| Demographic | Sunnyside | Marietta |
|---|---|---|
| Black | Data is updating | 30 |
| White | -10 | 41 |
| Asian | 1 | 2 |
| Hispanic | 86 | 18 |
| Two or More Races | 22 | 8 |
| American Indian | 1 | 1 |
Demographics Comparison: Sunnyside vs Marietta
- In Marietta, the percentage of Black residents is higher at 30% compared to 0% in Sunnyside.
- The percentage of White residents is higher in Marietta at 41% compared to -10% in Sunnyside.
- In Marietta, the Asian population stands at 2%, greater than 1% in Sunnyside.
- The Hispanic community is larger in Sunnyside at 86% compared to 18% in Marietta.
- More residents identify as two or more races in Sunnyside at 22% compared to 8% in Marietta.
- The percentage of American Indian residents is the same in both Sunnyside and Marietta at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sunnyside | Marietta |
|---|---|---|
| Mental Health Not Good | 19.4% | 15.1% |
| Physical Health Not Good | 18.4% | 11.1% |
| Depression | 22.8% | 18.1% |
| Smoking | 19.2% | 14.5% |
| Binge Drinking | 13.4% | 14.5% |
| Obesity | 44.5% | 32.3% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Sunnyside vs Marietta
- More residents in Sunnyside report poor mental health at 19.4% compared to 15.1% in Marietta.
- Depression is more prevalent in Sunnyside at 22.8% compared to 18.1% in Marietta.
- Smoking is more prevalent in Sunnyside at 19.2% compared to 14.5% in Marietta.
- More residents engage in binge drinking in Marietta at 14.5% compared to 13.4% in Sunnyside.
- Obesity rates are higher in Sunnyside at 44.5% compared to 32.3% in Marietta.
- Disability percentages are higher in Sunnyside at 11.0% compared to 9.0% in Marietta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sunnyside | Marietta |
|---|---|---|
| No Schooling | 3.3% (530) | 1.8% (1,148) |
| High School Diploma | 12.2% (1,985) | 10.0% (6,250) |
| Less than High School | 49.1% (8,000) | 13.1% (8,224) |
| Bachelor's Degree and Higher | 4.4% (710) | 29.9% (18,706) |
Education Levels Comparison: Sunnyside vs Marietta
- A higher percentage of residents in Sunnyside have no formal schooling at 3.3% compared to 1.8% in Marietta.
- A higher percentage of residents in Sunnyside hold a high school diploma at 12.2% compared to 10.0% in Marietta.
- More residents in Sunnyside have less than a high school education at 49.1% compared to 13.1% in Marietta.
- In Marietta, a larger share of residents have a bachelor's degree or higher at 29.9% 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.