Demographics details for Dayton, MN vs Riverhead, NY
Population Overview
Compare main population characteristics in Dayton, MN vs Riverhead, NY.
| Data | Dayton | Riverhead |
|---|---|---|
| Population | 9,242 | 33,539 |
| Median Age | 41.1 years | 42.0 years |
| Median Income | $138,654 | $80,000 |
| Married Families | 45.0% | 60.0% |
| Poverty Level | 3% | 7% |
| Unemployment Rate | 3.1 | 3.3 |
Population Comparison: Dayton vs Riverhead
- The population in Riverhead is higher at 33,539, compared to 9,242 in Dayton.
- The median age in Riverhead is higher at 42.0 years, compared to 41.1 years in Dayton.
- Dayton has a higher median income of $138,654 compared to $80,000 in Riverhead.
- In Riverhead, the percentage of married families is higher at 60.0%, compared to 45.0% in Dayton.
- The poverty level is higher in Riverhead at 7%, compared to 3% in Dayton.
- Riverhead has a higher unemployment rate at 3.3% compared to 3.1% in Dayton.
Demographics
Demographics Dayton vs Riverhead provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Riverhead |
|---|---|---|
| Black | 4 | 10 |
| White | 81 | 70 |
| Asian | 4 | 5 |
| Hispanic | 5 | 15 |
| Two or More Races | 6 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Riverhead
- In Riverhead, the percentage of Black residents is higher at 10% compared to 4% in Dayton.
- Dayton has a higher percentage of White residents at 81% compared to 70% in Riverhead.
- In Riverhead, the Asian population stands at 5%, greater than 4% in Dayton.
- Riverhead has a higher percentage of Hispanic residents at 15%, compared to 5% in Dayton.
- More residents identify as two or more races in Dayton at 6% compared to 0% in Riverhead.
- The percentage of American Indian residents is the same in both Dayton and Riverhead at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Riverhead |
|---|---|---|
| Mental Health Not Good | 14.2% | Data is updating% |
| Physical Health Not Good | 8.0% | Data is updating% |
| Depression | 24.1% | Data is updating% |
| Smoking | 13.7% | Data is updating% |
| Binge Drinking | 21.8% | Data is updating% |
| Obesity | 27.8% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Dayton vs Riverhead
- More residents in Dayton report poor mental health at 14.2% compared to 0.0% in Riverhead.
- Depression is more prevalent in Dayton at 24.1% compared to 0.0% in Riverhead.
- Smoking is more prevalent in Dayton at 13.7% compared to 0.0% in Riverhead.
- Binge drinking is more common in Dayton at 21.8% compared to 0.0% in Riverhead.
- Obesity rates are higher in Dayton at 27.8% compared to 0.0% in Riverhead.
- Disability percentages are higher in Dayton at 7.0% compared to 0.0% in Riverhead.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Riverhead |
|---|---|---|
| No Schooling | 0.4% (40) | 0.0% (Data is updating) |
| High School Diploma | 12.5% (1,158) | 0.0% (Data is updating) |
| Less than High School | 5.6% (522) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 25.2% (2,333) | 0.0% (Data is updating) |
Education Levels Comparison: Dayton vs Riverhead
- A higher percentage of residents in Dayton have no formal schooling at 0.4% compared to 0.0% in Riverhead.
- A higher percentage of residents in Dayton hold a high school diploma at 12.5% compared to 0.0% in Riverhead.
- More residents in Dayton have less than a high school education at 5.6% compared to 0.0% in Riverhead.
- A higher percentage of residents in Dayton hold a bachelor's degree or higher at 25.2% compared to 0.0% in Riverhead.
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.