Demographics details for Dayton, PA vs Santa clara, CA
Population Overview
Compare main population characteristics in Dayton, PA vs Santa clara, CA.
| Data | Dayton | Santa clara |
|---|---|---|
| Population | 544 | 126,930 |
| Median Age | 44.7 years | 34.5 years |
| Median Income | $53,750 | $165,352 |
| Married Families | 50.0% | 45.0% |
| Poverty Level | 7% | 8% |
| Unemployment Rate | 4.5 | 3.9 |
Population Comparison: Dayton vs Santa clara
- The population in Santa clara is higher at 126,930, compared to 544 in Dayton.
- Residents in Dayton have a higher median age of 44.7 years compared to 34.5 years in Santa clara.
- Santa clara has a higher median income of $165,352, compared to $53,750 in Dayton.
- A higher percentage of married families is found in Dayton at 50.0% compared to 45.0% in Santa clara.
- The poverty level is higher in Santa clara at 8%, compared to 7% in Dayton.
- The unemployment rate in Dayton is higher at 4.5%, compared to 3.9% in Santa clara.
Demographics
Demographics Dayton vs Santa clara provide insight into the diversity of the communities to compare.
| Demographic | Dayton | Santa clara |
|---|---|---|
| Black | Data is updating | 2 |
| White | 96 | 27 |
| Asian | Data is updating | 48 |
| Hispanic | Data is updating | 15 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dayton vs Santa clara
- In Santa clara, the percentage of Black residents is higher at 2% compared to 0% in Dayton.
- Dayton has a higher percentage of White residents at 96% compared to 27% in Santa clara.
- In Santa clara, the Asian population stands at 48%, greater than 0% in Dayton.
- Santa clara has a higher percentage of Hispanic residents at 15%, compared to 0% in Dayton.
- The percentage of residents identifying as two or more races is higher in Santa clara at 8%, compared to 4% in Dayton.
- The percentage of American Indian residents is the same in both Dayton and Santa clara at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dayton | Santa clara |
|---|---|---|
| Mental Health Not Good | 18.1% | 12.0% |
| Physical Health Not Good | 13.0% | 7.4% |
| Depression | 24.0% | 14.2% |
| Smoking | 22.4% | 7.1% |
| Binge Drinking | 18.3% | 13.9% |
| Obesity | 36.0% | 18.6% |
| Disability Percentage | 22.0% | 7.0% |
Health Statistics Comparison: Dayton vs Santa clara
- More residents in Dayton report poor mental health at 18.1% compared to 12.0% in Santa clara.
- Depression is more prevalent in Dayton at 24.0% compared to 14.2% in Santa clara.
- Smoking is more prevalent in Dayton at 22.4% compared to 7.1% in Santa clara.
- Binge drinking is more common in Dayton at 18.3% compared to 13.9% in Santa clara.
- Obesity rates are higher in Dayton at 36.0% compared to 18.6% in Santa clara.
- Disability percentages are higher in Dayton at 22.0% compared to 7.0% in Santa clara.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dayton | Santa clara |
|---|---|---|
| No Schooling | 0.6% (3) | 0.9% (1,134) |
| High School Diploma | 35.1% (191) | 7.3% (9,232) |
| Less than High School | 15.8% (86) | 7.1% (8,967) |
| Bachelor's Degree and Higher | 9.2% (50) | 46.5% (58,962) |
Education Levels Comparison: Dayton vs Santa clara
- In Santa clara, a larger percentage of residents lack formal schooling at 0.9% compared to 0.6% in Dayton.
- A higher percentage of residents in Dayton hold a high school diploma at 35.1% compared to 7.3% in Santa clara.
- More residents in Dayton have less than a high school education at 15.8% compared to 7.1% in Santa clara.
- In Santa clara, a larger share of residents have a bachelor's degree or higher at 46.5% 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.