Demographics details for San dimas, CA vs Wheeling, WV
Population Overview
Compare main population characteristics in San dimas, CA vs Wheeling, WV.
| Data | San dimas | Wheeling |
|---|---|---|
| Population | 33,535 | 26,391 |
| Median Age | 42.7 years | 45.0 years |
| Median Income | $102,241 | $46,516 |
| Married Families | 44.0% | 34.0% |
| Poverty Level | 9% | 18% |
| Unemployment Rate | 5.2 | 4.1 |
Population Comparison: San dimas vs Wheeling
- In San dimas, the population is higher at 33,535, compared to 26,391 in Wheeling.
- The median age in Wheeling is higher at 45.0 years, compared to 42.7 years in San dimas.
- San dimas has a higher median income of $102,241 compared to $46,516 in Wheeling.
- A higher percentage of married families is found in San dimas at 44.0% compared to 34.0% in Wheeling.
- The poverty level is higher in Wheeling at 18%, compared to 9% in San dimas.
- The unemployment rate in San dimas is higher at 5.2%, compared to 4.1% in Wheeling.
Demographics
Demographics San dimas vs Wheeling provide insight into the diversity of the communities to compare.
| Demographic | San dimas | Wheeling |
|---|---|---|
| Black | 3 | 4 |
| White | 25 | 90 |
| Asian | 16 | 1 |
| Hispanic | 37 | 1 |
| Two or More Races | 18 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: San dimas vs Wheeling
- In Wheeling, the percentage of Black residents is higher at 4% compared to 3% in San dimas.
- The percentage of White residents is higher in Wheeling at 90% compared to 25% in San dimas.
- The Asian population is larger in San dimas at 16% compared to 1% in Wheeling.
- The Hispanic community is larger in San dimas at 37% compared to 1% in Wheeling.
- More residents identify as two or more races in San dimas at 18% compared to 4% in Wheeling.
- A greater percentage of American Indian residents live in San dimas at 1% compared to 0% in Wheeling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San dimas | Wheeling |
|---|---|---|
| Mental Health Not Good | 14.6% | 19.5% |
| Physical Health Not Good | 9.5% | 13.3% |
| Depression | 16.6% | 28.7% |
| Smoking | 9.3% | 21.0% |
| Binge Drinking | 16.7% | 14.4% |
| Obesity | 26.3% | 40.4% |
| Disability Percentage | 15.0% | 17.0% |
Health Statistics Comparison: San dimas vs Wheeling
- In Wheeling, a higher percentage report poor mental health at 19.5% compared to 14.6% in San dimas.
- Higher depression rates are seen in Wheeling at 28.7% versus 16.6% in San dimas.
- Wheeling has a higher smoking rate at 21.0% compared to 9.3% in San dimas.
- Binge drinking is more common in San dimas at 16.7% compared to 14.4% in Wheeling.
- Wheeling has higher obesity rates at 40.4% compared to 26.3% in San dimas.
- There is a higher percentage of disabled individuals in Wheeling at 17.0% 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 | Wheeling |
|---|---|---|
| No Schooling | 1.1% (362) | 0.5% (130) |
| High School Diploma | 13.8% (4,634) | 22.3% (5,888) |
| Less than High School | 8.5% (2,851) | 10.1% (2,653) |
| Bachelor's Degree and Higher | 28.3% (9,476) | 23.5% (6,209) |
Education Levels Comparison: San dimas vs Wheeling
- A higher percentage of residents in San dimas have no formal schooling at 1.1% compared to 0.5% in Wheeling.
- In Wheeling, the rate of residents with high school diplomas is higher at 22.3% compared to 13.8% in San dimas.
- The percentage of residents with less than a high school education is higher in Wheeling at 10.1%, compared to 8.5% in San dimas.
- A higher percentage of residents in San dimas hold a bachelor's degree or higher at 28.3% compared to 23.5% in Wheeling.
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.