Demographics details for Richville, MN vs Dayton, PA
Population Overview
Compare main population characteristics in Richville, MN vs Dayton, PA.
| Data | Richville | Dayton |
|---|---|---|
| Population | 77 | 544 |
| Median Age | 46.5 years | 44.7 years |
| Median Income | $68,750 | $53,750 |
| Married Families | 23.0% | 50.0% |
| Poverty Level | 9% | 7% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Richville vs Dayton
- The population in Dayton is higher at 544, compared to 77 in Richville.
- Residents in Richville have a higher median age of 46.5 years compared to 44.7 years in Dayton.
- Richville has a higher median income of $68,750 compared to $53,750 in Dayton.
- In Dayton, the percentage of married families is higher at 50.0%, compared to 23.0% in Richville.
- Richville has a higher poverty level at 9% compared to 7% in Dayton.
- Dayton has a higher unemployment rate at 4.5% compared to 3.5% in Richville.
Demographics
Demographics Richville vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Richville | Dayton |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Richville vs Dayton
- The percentage of Black residents is the same in both Richville and Dayton at 0%.
- Richville has a higher percentage of White residents at 100% compared to 96% in Dayton.
- Both Richville and Dayton have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Richville and Dayton at 0%.
- The percentage of residents identifying as two or more races is higher in Dayton at 4%, compared to 0% in Richville.
- The percentage of American Indian residents is the same in both Richville and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Richville | Dayton |
|---|---|---|
| Mental Health Not Good | 15.8% | 18.1% |
| Physical Health Not Good | 10.4% | 13.0% |
| Depression | 23.8% | 24.0% |
| Smoking | 19.8% | 22.4% |
| Binge Drinking | 20.1% | 18.3% |
| Obesity | 38.1% | 36.0% |
| Disability Percentage | 22.0% | 22.0% |
Health Statistics Comparison: Richville vs Dayton
- In Dayton, a higher percentage report poor mental health at 18.1% compared to 15.8% in Richville.
- Higher depression rates are seen in Dayton at 24.0% versus 23.8% in Richville.
- Dayton has a higher smoking rate at 22.4% compared to 19.8% in Richville.
- Binge drinking is more common in Richville at 20.1% compared to 18.3% in Dayton.
- Obesity rates are higher in Richville at 38.1% compared to 36.0% in Dayton.
- Disability percentages are the same in both Richville and Dayton at 22.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Richville | Dayton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (3) |
| High School Diploma | 2.6% (2) | 35.1% (191) |
| Less than High School | 13.0% (10) | 15.8% (86) |
| Bachelor's Degree and Higher | 1.3% (1) | 9.2% (50) |
Education Levels Comparison: Richville vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Richville.
- In Dayton, the rate of residents with high school diplomas is higher at 35.1% compared to 2.6% in Richville.
- The percentage of residents with less than a high school education is higher in Dayton at 15.8%, compared to 13.0% in Richville.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 9.2% compared to 1.3% in Richville.
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.