Demographics details for Bangor, WI vs San dimas, CA
Population Overview
Compare main population characteristics in Bangor, WI vs San dimas, CA.
| Data | Bangor | San dimas |
|---|---|---|
| Population | 1,446 | 33,535 |
| Median Age | 40.0 years | 42.7 years |
| Median Income | $72,019 | $102,241 |
| Married Families | 41.0% | 44.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 3.0 | 5.2 |
Population Comparison: Bangor vs San dimas
- The population in San dimas is higher at 33,535, compared to 1,446 in Bangor.
- The median age in San dimas is higher at 42.7 years, compared to 40.0 years in Bangor.
- San dimas has a higher median income of $102,241, compared to $72,019 in Bangor.
- In San dimas, the percentage of married families is higher at 44.0%, compared to 41.0% in Bangor.
- The poverty level is higher in San dimas at 9%, compared to 8% in Bangor.
- San dimas has a higher unemployment rate at 5.2% compared to 3.0% in Bangor.
Demographics
Demographics Bangor vs San dimas provide insight into the diversity of the communities to compare.
| Demographic | Bangor | San dimas |
|---|---|---|
| Black | Data is updating | 3 |
| White | 97 | 25 |
| Asian | 1 | 16 |
| Hispanic | 1 | 37 |
| Two or More Races | 1 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bangor vs San dimas
- In San dimas, the percentage of Black residents is higher at 3% compared to 0% in Bangor.
- Bangor has a higher percentage of White residents at 97% compared to 25% in San dimas.
- In San dimas, the Asian population stands at 16%, greater than 1% in Bangor.
- San dimas has a higher percentage of Hispanic residents at 37%, compared to 1% in Bangor.
- The percentage of residents identifying as two or more races is higher in San dimas at 18%, compared to 1% in Bangor.
- In San dimas, the percentage of American Indian residents is higher at 1%, compared to 0% in Bangor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bangor | San dimas |
|---|---|---|
| Mental Health Not Good | 14.7% | 14.6% |
| Physical Health Not Good | 9.4% | 9.5% |
| Depression | 25.2% | 16.6% |
| Smoking | 15.3% | 9.3% |
| Binge Drinking | 25.4% | 16.7% |
| Obesity | 35.2% | 26.3% |
| Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: Bangor vs San dimas
- More residents in Bangor report poor mental health at 14.7% compared to 14.6% in San dimas.
- Depression is more prevalent in Bangor at 25.2% compared to 16.6% in San dimas.
- Smoking is more prevalent in Bangor at 15.3% compared to 9.3% in San dimas.
- Binge drinking is more common in Bangor at 25.4% compared to 16.7% in San dimas.
- Obesity rates are higher in Bangor at 35.2% compared to 26.3% in San dimas.
- There is a higher percentage of disabled individuals in San dimas at 15.0% compared to 9.0% in Bangor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bangor | San dimas |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (362) |
| High School Diploma | 15.5% (224) | 13.8% (4,634) |
| Less than High School | 5.1% (74) | 8.5% (2,851) |
| Bachelor's Degree and Higher | 16.6% (240) | 28.3% (9,476) |
Education Levels Comparison: Bangor vs San dimas
- In San dimas, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Bangor.
- A higher percentage of residents in Bangor hold a high school diploma at 15.5% compared to 13.8% in San dimas.
- The percentage of residents with less than a high school education is higher in San dimas at 8.5%, compared to 5.1% in Bangor.
- In San dimas, a larger share of residents have a bachelor's degree or higher at 28.3% compared to 16.6% in Bangor.
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.