Demographics details for Rising city, NE vs Dayton, PA
Population Overview
Compare main population characteristics in Rising city, NE vs Dayton, PA.
| Data | Rising city | Dayton |
|---|---|---|
| Population | 354 | 544 |
| Median Age | 44.3 years | 44.7 years |
| Median Income | $81,477 | $53,750 |
| Married Families | 45.0% | 50.0% |
| Poverty Level | 9% | 7% |
| Unemployment Rate | 2.7 | 4.5 |
Population Comparison: Rising city vs Dayton
- The population in Dayton is higher at 544, compared to 354 in Rising city.
- The median age in Dayton is higher at 44.7 years, compared to 44.3 years in Rising city.
- Rising city has a higher median income of $81,477 compared to $53,750 in Dayton.
- In Dayton, the percentage of married families is higher at 50.0%, compared to 45.0% in Rising city.
- Rising city has a higher poverty level at 9% compared to 7% in Dayton.
- Dayton has a higher unemployment rate at 4.5% compared to 2.7% in Rising city.
Demographics
Demographics Rising city vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Rising city | Dayton |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 98 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rising city vs Dayton
- The percentage of Black residents is the same in both Rising city and Dayton at 0%.
- Rising city has a higher percentage of White residents at 98% compared to 96% in Dayton.
- Both Rising city and Dayton have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Rising city at 2% compared to 0% in Dayton.
- The percentage of residents identifying as two or more races is higher in Dayton at 4%, compared to 0% in Rising city.
- The percentage of American Indian residents is the same in both Rising city and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rising city | Dayton |
|---|---|---|
| Mental Health Not Good | 13.5% | 18.1% |
| Physical Health Not Good | 9.2% | 13.0% |
| Depression | 16.0% | 24.0% |
| Smoking | 16.3% | 22.4% |
| Binge Drinking | 23.1% | 18.3% |
| Obesity | 40.3% | 36.0% |
| Disability Percentage | 13.0% | 22.0% |
Health Statistics Comparison: Rising city vs Dayton
- In Dayton, a higher percentage report poor mental health at 18.1% compared to 13.5% in Rising city.
- Higher depression rates are seen in Dayton at 24.0% versus 16.0% in Rising city.
- Dayton has a higher smoking rate at 22.4% compared to 16.3% in Rising city.
- Binge drinking is more common in Rising city at 23.1% compared to 18.3% in Dayton.
- Obesity rates are higher in Rising city at 40.3% compared to 36.0% in Dayton.
- There is a higher percentage of disabled individuals in Dayton at 22.0% compared to 13.0% in Rising city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rising city | Dayton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (3) |
| High School Diploma | 19.8% (70) | 35.1% (191) |
| Less than High School | 9.6% (34) | 15.8% (86) |
| Bachelor's Degree and Higher | 7.6% (27) | 9.2% (50) |
Education Levels Comparison: Rising city vs Dayton
- In Dayton, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Rising city.
- In Dayton, the rate of residents with high school diplomas is higher at 35.1% compared to 19.8% in Rising city.
- The percentage of residents with less than a high school education is higher in Dayton at 15.8%, compared to 9.6% in Rising city.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 9.2% compared to 7.6% in Rising city.
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.