Demographics details for Dayton, PA vs Surprise, AZ
Population Overview
Compare main population characteristics in Dayton, PA vs Surprise, AZ.
| Data | Dayton | Surprise |
|---|---|---|
| Population | 544 | 154,198 |
| Median Age | 44.7 years | 41.5 years |
| Median Income | $53,750 | $87,756 |
| Married Families | 50.0% | 44.0% |
| Poverty Level | 7% | 13% |
| Unemployment Rate | 4.5 | 3.9 |
Population Comparison: Dayton vs Surprise
- The population in Surprise is higher at 154,198, compared to 544 in Dayton.
- Residents in Dayton have a higher median age of 44.7 years compared to 41.5 years in Surprise.
- Surprise has a higher median income of $87,756, compared to $53,750 in Dayton.
- A higher percentage of married families is found in Dayton at 50.0% compared to 44.0% in Surprise.
- The poverty level is higher in Surprise at 13%, compared to 7% in Dayton.
- The unemployment rate in Dayton is higher at 4.5%, compared to 3.9% in Surprise.
Demographics
Demographics Dayton vs Surprise provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Surprise |
|---|---|---|
| Black | Data is updating | 5 |
| White | 96 | 63 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 20 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Dayton vs Surprise
- In Surprise, the percentage of Black residents is higher at 5% compared to 0% in Dayton.
- Dayton has a higher percentage of White residents at 96% compared to 63% in Surprise.
- In Surprise, the Asian population stands at 2%, greater than 0% in Dayton.
- Surprise has a higher percentage of Hispanic residents at 20%, compared to 0% in Dayton.
- The percentage of residents identifying as two or more races is higher in Surprise at 9%, compared to 4% in Dayton.
- In Surprise, the percentage of American Indian residents is higher at 1%, compared to 0% in Dayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Surprise |
|---|---|---|
| Mental Health Not Good | 18.1% | 17.0% |
| Physical Health Not Good | 13.0% | 10.1% |
| Depression | 24.0% | 20.1% |
| Smoking | 22.4% | 14.4% |
| Binge Drinking | 18.3% | 18.5% |
| Obesity | 36.0% | 30.1% |
| Disability Percentage | 22.0% | 11.0% |
Health Statistics Comparison: Dayton vs Surprise
- More residents in Dayton report poor mental health at 18.1% compared to 17.0% in Surprise.
- Depression is more prevalent in Dayton at 24.0% compared to 20.1% in Surprise.
- Smoking is more prevalent in Dayton at 22.4% compared to 14.4% in Surprise.
- More residents engage in binge drinking in Surprise at 18.5% compared to 18.3% in Dayton.
- Obesity rates are higher in Dayton at 36.0% compared to 30.1% in Surprise.
- Disability percentages are higher in Dayton at 22.0% compared to 11.0% in Surprise.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Surprise |
|---|---|---|
| No Schooling | 0.6% (3) | 0.5% (754) |
| High School Diploma | 35.1% (191) | 13.7% (21,050) |
| Less than High School | 15.8% (86) | 7.6% (11,792) |
| Bachelor's Degree and Higher | 9.2% (50) | 19.9% (30,735) |
Education Levels Comparison: Dayton vs Surprise
- A higher percentage of residents in Dayton have no formal schooling at 0.6% compared to 0.5% in Surprise.
- A higher percentage of residents in Dayton hold a high school diploma at 35.1% compared to 13.7% in Surprise.
- More residents in Dayton have less than a high school education at 15.8% compared to 7.6% in Surprise.
- In Surprise, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 9.2% 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.