Demographics details for Powder springs, GA vs Dayton, TN
Population Overview
Compare main population characteristics in Powder springs, GA vs Dayton, TN.
| Data | Powder springs | Dayton |
|---|---|---|
| Population | 17,337 | 7,347 |
| Median Age | 38.7 years | 34.6 years |
| Median Income | $88,311 | $54,511 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Powder springs vs Dayton
- In Powder springs, the population is higher at 17,337, compared to 7,347 in Dayton.
- Residents in Powder springs have a higher median age of 38.7 years compared to 34.6 years in Dayton.
- Powder springs has a higher median income of $88,311 compared to $54,511 in Dayton.
- The percentage of married families is the same in both Powder springs and Dayton at 36.0%.
- The poverty level is higher in Dayton at 15%, compared to 12% in Powder springs.
- The unemployment rate is the same in both Powder springs and Dayton at 3.5%.
Demographics
Demographics Powder springs vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Powder springs | Dayton |
|---|---|---|
| Black | 51 | 4 |
| White | 22 | 83 |
| Asian | 2 | 2 |
| Hispanic | 19 | 6 |
| Two or More Races | 5 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Powder springs vs Dayton
- A higher percentage of Black residents are in Powder springs at 51% compared to 4% in Dayton.
- The percentage of White residents is higher in Dayton at 83% compared to 22% in Powder springs.
- Both Powder springs and Dayton have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Powder springs at 19% compared to 6% in Dayton.
- Both Powder springs and Dayton have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Powder springs at 1% compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Powder springs | Dayton |
|---|---|---|
| Mental Health Not Good | 15.0% | 22.9% |
| Physical Health Not Good | 10.7% | 17.4% |
| Depression | 17.7% | 32.0% |
| Smoking | 14.4% | 28.8% |
| Binge Drinking | 14.4% | 13.4% |
| Obesity | 33.0% | 44.2% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Powder springs vs Dayton
- In Dayton, a higher percentage report poor mental health at 22.9% compared to 15.0% in Powder springs.
- Higher depression rates are seen in Dayton at 32.0% versus 17.7% in Powder springs.
- Dayton has a higher smoking rate at 28.8% compared to 14.4% in Powder springs.
- Binge drinking is more common in Powder springs at 14.4% compared to 13.4% in Dayton.
- Dayton has higher obesity rates at 44.2% compared to 33.0% in Powder springs.
- There is a higher percentage of disabled individuals in Dayton at 20.0% compared to 11.0% in Powder springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Powder springs | Dayton |
|---|---|---|
| No Schooling | 1.3% (225) | 2.0% (145) |
| High School Diploma | 15.0% (2,598) | 19.8% (1,453) |
| Less than High School | 7.6% (1,309) | 23.6% (1,732) |
| Bachelor's Degree and Higher | 26.3% (4,561) | 10.7% (783) |
Education Levels Comparison: Powder springs vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 2.0% compared to 1.3% in Powder springs.
- In Dayton, the rate of residents with high school diplomas is higher at 19.8% compared to 15.0% in Powder springs.
- The percentage of residents with less than a high school education is higher in Dayton at 23.6%, compared to 7.6% in Powder springs.
- A higher percentage of residents in Powder springs hold a bachelor's degree or higher at 26.3% compared to 10.7% in Dayton.
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.