Demographics details for Dayton, TN vs Richfield, PA
Population Overview
Compare main population characteristics in Dayton, TN vs Richfield, PA.
| Data | Dayton | Richfield |
|---|---|---|
| Population | 7,347 | 549 |
| Median Age | 34.6 years | 40.0 years |
| Median Income | $54,511 | $60,000 |
| Married Families | 36.0% | 60.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Dayton vs Richfield
- In Dayton, the population is higher at 7,347, compared to 549 in Richfield.
- The median age in Richfield is higher at 40.0 years, compared to 34.6 years in Dayton.
- Richfield has a higher median income of $60,000, compared to $54,511 in Dayton.
- In Richfield, the percentage of married families is higher at 60.0%, compared to 36.0% in Dayton.
- Dayton has a higher poverty level at 15% compared to 10% in Richfield.
- The unemployment rate is the same in both Dayton and Richfield at 3.5%.
Demographics
Demographics Dayton vs Richfield provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Richfield |
|---|---|---|
| Black | 4 | 1 |
| White | 83 | 98 |
| Asian | 2 | Data is updating |
| Hispanic | 6 | 1 |
| Two or More Races | 5 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Richfield
- A higher percentage of Black residents are in Dayton at 4% compared to 1% in Richfield.
- The percentage of White residents is higher in Richfield at 98% compared to 83% in Dayton.
- The Asian population is larger in Dayton at 2% compared to 0% in Richfield.
- The Hispanic community is larger in Dayton at 6% compared to 1% in Richfield.
- More residents identify as two or more races in Dayton at 5% compared to 0% in Richfield.
- The percentage of American Indian residents is the same in both Dayton and Richfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Richfield |
|---|---|---|
| Mental Health Not Good | 22.9% | Data is updating% |
| Physical Health Not Good | 17.4% | Data is updating% |
| Depression | 32.0% | Data is updating% |
| Smoking | 28.8% | Data is updating% |
| Binge Drinking | 13.4% | Data is updating% |
| Obesity | 44.2% | Data is updating% |
| Disability Percentage | 20.0% | Data is updating% |
Health Statistics Comparison: Dayton vs Richfield
- More residents in Dayton report poor mental health at 22.9% compared to 0.0% in Richfield.
- Depression is more prevalent in Dayton at 32.0% compared to 0.0% in Richfield.
- Smoking is more prevalent in Dayton at 28.8% compared to 0.0% in Richfield.
- Binge drinking is more common in Dayton at 13.4% compared to 0.0% in Richfield.
- Obesity rates are higher in Dayton at 44.2% compared to 0.0% in Richfield.
- Disability percentages are higher in Dayton at 20.0% compared to 0.0% in Richfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Richfield |
|---|---|---|
| No Schooling | 2.0% (145) | 0.0% (Data is updating) |
| High School Diploma | 19.8% (1,453) | 0.0% (Data is updating) |
| Less than High School | 23.6% (1,732) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.7% (783) | 0.0% (Data is updating) |
Education Levels Comparison: Dayton vs Richfield
- A higher percentage of residents in Dayton have no formal schooling at 2.0% compared to 0.0% in Richfield.
- A higher percentage of residents in Dayton hold a high school diploma at 19.8% compared to 0.0% in Richfield.
- More residents in Dayton have less than a high school education at 23.6% compared to 0.0% in Richfield.
- A higher percentage of residents in Dayton hold a bachelor's degree or higher at 10.7% compared to 0.0% in Richfield.
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.