Demographics details for Germantown, TN vs San dimas, CA
Population Overview
Compare main population characteristics in Germantown, TN vs San dimas, CA.
| Data | Germantown | San dimas |
|---|---|---|
| Population | 40,816 | 33,535 |
| Median Age | 43.5 years | 42.7 years |
| Median Income | $140,429 | $102,241 |
| Married Families | 53.0% | 44.0% |
| Poverty Level | 4% | 9% |
| Unemployment Rate | 2.9 | 5.2 |
Population Comparison: Germantown vs San dimas
- In Germantown, the population is higher at 40,816, compared to 33,535 in San dimas.
- Residents in Germantown have a higher median age of 43.5 years compared to 42.7 years in San dimas.
- Germantown has a higher median income of $140,429 compared to $102,241 in San dimas.
- A higher percentage of married families is found in Germantown at 53.0% compared to 44.0% in San dimas.
- The poverty level is higher in San dimas at 9%, compared to 4% in Germantown.
- San dimas has a higher unemployment rate at 5.2% compared to 2.9% in Germantown.
Demographics
Demographics Germantown vs San dimas provide insight into the diversity of the communities to compare.
| Demographic | Germantown | San dimas |
|---|---|---|
| Black | 5 | 3 |
| White | 85 | 25 |
| Asian | 5 | 16 |
| Hispanic | 2 | 37 |
| Two or More Races | 3 | 18 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Germantown vs San dimas
- A higher percentage of Black residents are in Germantown at 5% compared to 3% in San dimas.
- Germantown 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 5% in Germantown.
- San dimas has a higher percentage of Hispanic residents at 37%, compared to 2% in Germantown.
- The percentage of residents identifying as two or more races is higher in San dimas at 18%, compared to 3% in Germantown.
- In San dimas, the percentage of American Indian residents is higher at 1%, compared to 0% in Germantown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Germantown | San dimas |
|---|---|---|
| Mental Health Not Good | 13.7% | 14.6% |
| Physical Health Not Good | 7.9% | 9.5% |
| Depression | 22.1% | 16.6% |
| Smoking | 10.1% | 9.3% |
| Binge Drinking | 18.8% | 16.7% |
| Obesity | 26.5% | 26.3% |
| Disability Percentage | 8.0% | 15.0% |
Health Statistics Comparison: Germantown vs San dimas
- In San dimas, a higher percentage report poor mental health at 14.6% compared to 13.7% in Germantown.
- Depression is more prevalent in Germantown at 22.1% compared to 16.6% in San dimas.
- Smoking is more prevalent in Germantown at 10.1% compared to 9.3% in San dimas.
- Binge drinking is more common in Germantown at 18.8% compared to 16.7% in San dimas.
- Obesity rates are higher in Germantown at 26.5% compared to 26.3% in San dimas.
- There is a higher percentage of disabled individuals in San dimas at 15.0% compared to 8.0% in Germantown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Germantown | San dimas |
|---|---|---|
| No Schooling | 0.1% (57) | 1.1% (362) |
| High School Diploma | 5.2% (2,137) | 13.8% (4,634) |
| Less than High School | 1.9% (786) | 8.5% (2,851) |
| Bachelor's Degree and Higher | 47.7% (19,459) | 28.3% (9,476) |
Education Levels Comparison: Germantown vs San dimas
- In San dimas, a larger percentage of residents lack formal schooling at 1.1% compared to 0.1% in Germantown.
- In San dimas, the rate of residents with high school diplomas is higher at 13.8% compared to 5.2% in Germantown.
- The percentage of residents with less than a high school education is higher in San dimas at 8.5%, compared to 1.9% in Germantown.
- A higher percentage of residents in Germantown hold a bachelor's degree or higher at 47.7% compared to 28.3% in San dimas.
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.