Demographics details for San dimas, CA vs Pine, AZ
Population Overview
Compare main population characteristics in San dimas, CA vs Pine, AZ.
| Data | San dimas | Pine |
|---|---|---|
| Population | 33,535 | 1,526 |
| Median Age | 42.7 years | 68.7 years |
| Median Income | $102,241 | $54,720 |
| Married Families | 44.0% | 64.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 5.2 | 4.2 |
Population Comparison: San dimas vs Pine
- In San dimas, the population is higher at 33,535, compared to 1,526 in Pine.
- The median age in Pine is higher at 68.7 years, compared to 42.7 years in San dimas.
- San dimas has a higher median income of $102,241 compared to $54,720 in Pine.
- In Pine, the percentage of married families is higher at 64.0%, compared to 44.0% in San dimas.
- The poverty level is higher in Pine at 10%, compared to 9% in San dimas.
- The unemployment rate in San dimas is higher at 5.2%, compared to 4.2% in Pine.
Demographics
Demographics San dimas vs Pine provide insight into the diversity of the communities to compare.
| Demographic | San dimas | Pine |
|---|---|---|
| Black | 3 | Data is updating |
| White | 25 | 96 |
| Asian | 16 | Data is updating |
| Hispanic | 37 | 4 |
| Two or More Races | 18 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: San dimas vs Pine
- A higher percentage of Black residents are in San dimas at 3% compared to 0% in Pine.
- The percentage of White residents is higher in Pine at 96% compared to 25% in San dimas.
- The Asian population is larger in San dimas at 16% compared to 0% in Pine.
- The Hispanic community is larger in San dimas at 37% compared to 4% in Pine.
- More residents identify as two or more races in San dimas at 18% compared to 0% in Pine.
- A greater percentage of American Indian residents live in San dimas at 1% compared to 0% in Pine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San dimas | Pine |
|---|---|---|
| Mental Health Not Good | 14.6% | 16.5% |
| Physical Health Not Good | 9.5% | 9.8% |
| Depression | 16.6% | 20.3% |
| Smoking | 9.3% | 15.0% |
| Binge Drinking | 16.7% | 21.2% |
| Obesity | 26.3% | 31.2% |
| Disability Percentage | 15.0% | 36.0% |
Health Statistics Comparison: San dimas vs Pine
- In Pine, a higher percentage report poor mental health at 16.5% compared to 14.6% in San dimas.
- Higher depression rates are seen in Pine at 20.3% versus 16.6% in San dimas.
- Pine has a higher smoking rate at 15.0% compared to 9.3% in San dimas.
- More residents engage in binge drinking in Pine at 21.2% compared to 16.7% in San dimas.
- Pine has higher obesity rates at 31.2% compared to 26.3% in San dimas.
- There is a higher percentage of disabled individuals in Pine at 36.0% 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 | San dimas | Pine |
|---|---|---|
| No Schooling | 1.1% (362) | 0.0% (Data is updating) |
| High School Diploma | 13.8% (4,634) | 21.5% (328) |
| Less than High School | 8.5% (2,851) | 3.8% (58) |
| Bachelor's Degree and Higher | 28.3% (9,476) | 26.6% (406) |
Education Levels Comparison: San dimas vs Pine
- A higher percentage of residents in San dimas have no formal schooling at 1.1% compared to 0.0% in Pine.
- In Pine, the rate of residents with high school diplomas is higher at 21.5% compared to 13.8% in San dimas.
- More residents in San dimas have less than a high school education at 8.5% compared to 3.8% in Pine.
- A higher percentage of residents in San dimas hold a bachelor's degree or higher at 28.3% compared to 26.6% in Pine.
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.