Demographics details for Spring city, PA vs San dimas, CA
Population Overview
Compare main population characteristics in Spring city, PA vs San dimas, CA.
| Data | Spring city | San dimas |
|---|---|---|
| Population | 3,495 | 33,535 |
| Median Age | 36.7 years | 42.7 years |
| Median Income | $70,181 | $102,241 |
| Married Families | 30.0% | 44.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 2.5 | 5.2 |
Population Comparison: Spring city vs San dimas
- The population in San dimas is higher at 33,535, compared to 3,495 in Spring city.
- The median age in San dimas is higher at 42.7 years, compared to 36.7 years in Spring city.
- San dimas has a higher median income of $102,241, compared to $70,181 in Spring city.
- In San dimas, the percentage of married families is higher at 44.0%, compared to 30.0% in Spring city.
- The poverty level is higher in San dimas at 9%, compared to 5% in Spring city.
- San dimas has a higher unemployment rate at 5.2% compared to 2.5% in Spring city.
Demographics
Demographics Spring city vs San dimas provide insight into the diversity of the communities to compare.
| Demographic | Spring city | San dimas |
|---|---|---|
| Black | 4 | 3 |
| White | 85 | 25 |
| Asian | 2 | 16 |
| Hispanic | 6 | 37 |
| Two or More Races | 3 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Spring city vs San dimas
- A higher percentage of Black residents are in Spring city at 4% compared to 3% in San dimas.
- Spring city has a higher percentage of White residents at 85% compared to 25% in San dimas.
- In San dimas, the Asian population stands at 16%, greater than 2% in Spring city.
- San dimas has a higher percentage of Hispanic residents at 37%, compared to 6% in Spring city.
- The percentage of residents identifying as two or more races is higher in San dimas at 18%, compared to 3% in Spring city.
- In San dimas, the percentage of American Indian residents is higher at 1%, compared to 0% in Spring city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Spring city | San dimas |
|---|---|---|
| Mental Health Not Good | 15.8% | 14.6% |
| Physical Health Not Good | 10.8% | 9.5% |
| Depression | 23.0% | 16.6% |
| Smoking | 16.9% | 9.3% |
| Binge Drinking | 18.9% | 16.7% |
| Obesity | 34.8% | 26.3% |
| Disability Percentage | 20.0% | 15.0% |
Health Statistics Comparison: Spring city vs San dimas
- More residents in Spring city report poor mental health at 15.8% compared to 14.6% in San dimas.
- Depression is more prevalent in Spring city at 23.0% compared to 16.6% in San dimas.
- Smoking is more prevalent in Spring city at 16.9% compared to 9.3% in San dimas.
- Binge drinking is more common in Spring city at 18.9% compared to 16.7% in San dimas.
- Obesity rates are higher in Spring city at 34.8% compared to 26.3% in San dimas.
- Disability percentages are higher in Spring city at 20.0% compared to 15.0% in San dimas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Spring city | San dimas |
|---|---|---|
| No Schooling | 1.0% (34) | 1.1% (362) |
| High School Diploma | 17.5% (613) | 13.8% (4,634) |
| Less than High School | 8.8% (309) | 8.5% (2,851) |
| Bachelor's Degree and Higher | 28.0% (980) | 28.3% (9,476) |
Education Levels Comparison: Spring city vs San dimas
- In San dimas, a larger percentage of residents lack formal schooling at 1.1% compared to 1.0% in Spring city.
- A higher percentage of residents in Spring city hold a high school diploma at 17.5% compared to 13.8% in San dimas.
- More residents in Spring city have less than a high school education at 8.8% compared to 8.5% in San dimas.
- In San dimas, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 28.0% in Spring 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.