Demographics details for Griffin, GA vs Sunnyside, WA
Population Overview
Compare main population characteristics in Griffin, GA vs Sunnyside, WA.
| Data | Griffin | Sunnyside |
|---|---|---|
| Population | 23,693 | 16,296 |
| Median Age | 33.2 years | 27.1 years |
| Median Income | $42,047 | $49,134 |
| Married Families | 26.0% | 31.0% |
| Poverty Level | 15% | 18% |
| Unemployment Rate | 4.5 | 5.3 |
Population Comparison: Griffin vs Sunnyside
- In Griffin, the population is higher at 23,693, compared to 16,296 in Sunnyside.
- Residents in Griffin have a higher median age of 33.2 years compared to 27.1 years in Sunnyside.
- Sunnyside has a higher median income of $49,134, compared to $42,047 in Griffin.
- In Sunnyside, the percentage of married families is higher at 31.0%, compared to 26.0% in Griffin.
- The poverty level is higher in Sunnyside at 18%, compared to 15% in Griffin.
- Sunnyside has a higher unemployment rate at 5.3% compared to 4.5% in Griffin.
Demographics
Demographics Griffin vs Sunnyside provide insight into the diversity of the communities to compare.
| Demographic | Griffin | Sunnyside |
|---|---|---|
| Black | 52 | Data is updating |
| White | 36 | -10 |
| Asian | 1 | 1 |
| Hispanic | 5 | 86 |
| Two or More Races | 5 | 22 |
| American Indian | 1 | 1 |
Demographics Comparison: Griffin vs Sunnyside
- A higher percentage of Black residents are in Griffin at 52% compared to 0% in Sunnyside.
- Griffin has a higher percentage of White residents at 36% compared to -10% in Sunnyside.
- Both Griffin and Sunnyside have the same percentage of Asian residents at 1%.
- Sunnyside has a higher percentage of Hispanic residents at 86%, compared to 5% in Griffin.
- The percentage of residents identifying as two or more races is higher in Sunnyside at 22%, compared to 5% in Griffin.
- The percentage of American Indian residents is the same in both Griffin and Sunnyside at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Griffin | Sunnyside |
|---|---|---|
| Mental Health Not Good | 18.8% | 19.4% |
| Physical Health Not Good | 14.6% | 18.4% |
| Depression | 19.7% | 22.8% |
| Smoking | 22.4% | 19.2% |
| Binge Drinking | 13.4% | 13.4% |
| Obesity | 38.8% | 44.5% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Griffin vs Sunnyside
- In Sunnyside, a higher percentage report poor mental health at 19.4% compared to 18.8% in Griffin.
- Higher depression rates are seen in Sunnyside at 22.8% versus 19.7% in Griffin.
- Smoking is more prevalent in Griffin at 22.4% compared to 19.2% in Sunnyside.
- Binge drinking rates are similar in both Griffin and Sunnyside at 13.4%.
- Sunnyside has higher obesity rates at 44.5% compared to 38.8% in Griffin.
- Disability percentages are higher in Griffin at 13.0% compared to 11.0% in Sunnyside.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Griffin | Sunnyside |
|---|---|---|
| No Schooling | 2.2% (517) | 3.3% (530) |
| High School Diploma | 22.6% (5,347) | 12.2% (1,985) |
| Less than High School | 16.3% (3,859) | 49.1% (8,000) |
| Bachelor's Degree and Higher | 11.9% (2,819) | 4.4% (710) |
Education Levels Comparison: Griffin vs Sunnyside
- In Sunnyside, a larger percentage of residents lack formal schooling at 3.3% compared to 2.2% in Griffin.
- A higher percentage of residents in Griffin hold a high school diploma at 22.6% 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 16.3% in Griffin.
- A higher percentage of residents in Griffin hold a bachelor's degree or higher at 11.9% 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.