Demographics details for Mars, PA vs Diamond springs, CA
Population Overview
Compare main population characteristics in Mars, PA vs Diamond springs, CA.
| Data | Mars | Diamond springs |
|---|---|---|
| Population | 1,430 | 12,197 |
| Median Age | 58.2 years | 43.7 years |
| Median Income | $57,700 | $71,279 |
| Married Families | 23.0% | 44.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Mars vs Diamond springs
- The population in Diamond springs is higher at 12,197, compared to 1,430 in Mars.
- Residents in Mars have a higher median age of 58.2 years compared to 43.7 years in Diamond springs.
- Diamond springs has a higher median income of $71,279, compared to $57,700 in Mars.
- In Diamond springs, the percentage of married families is higher at 44.0%, compared to 23.0% in Mars.
- The poverty level is higher in Diamond springs at 11%, compared to 5% in Mars.
- The unemployment rate is the same in both Mars and Diamond springs at 4.2%.
Demographics
Demographics Mars vs Diamond springs provide insight into the diversity of the communities to compare.
| Demographic | Mars | Diamond springs |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 89 | 72 |
| Asian | Data is updating | 3 |
| Hispanic | 6 | 18 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Mars vs Diamond springs
- The percentage of Black residents is the same in both Mars and Diamond springs at 0%.
- Mars has a higher percentage of White residents at 89% compared to 72% in Diamond springs.
- In Diamond springs, the Asian population stands at 3%, greater than 0% in Mars.
- Diamond springs has a higher percentage of Hispanic residents at 18%, compared to 6% in Mars.
- The percentage of residents identifying as two or more races is higher in Diamond springs at 6%, compared to 5% in Mars.
- In Diamond springs, the percentage of American Indian residents is higher at 1%, compared to 0% in Mars.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mars | Diamond springs |
|---|---|---|
| Mental Health Not Good | 14.2% | 16.7% |
| Physical Health Not Good | 9.1% | 10.4% |
| Depression | 20.7% | 23.2% |
| Smoking | 13.9% | 12.7% |
| Binge Drinking | 20.2% | 19.0% |
| Obesity | 30.7% | 29.1% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Mars vs Diamond springs
- In Diamond springs, a higher percentage report poor mental health at 16.7% compared to 14.2% in Mars.
- Higher depression rates are seen in Diamond springs at 23.2% versus 20.7% in Mars.
- Smoking is more prevalent in Mars at 13.9% compared to 12.7% in Diamond springs.
- Binge drinking is more common in Mars at 20.2% compared to 19.0% in Diamond springs.
- Obesity rates are higher in Mars at 30.7% compared to 29.1% in Diamond springs.
- Disability percentages are higher in Mars at 20.0% compared to 14.0% in Diamond springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mars | Diamond springs |
|---|---|---|
| No Schooling | 0.3% (5) | 0.6% (73) |
| High School Diploma | 23.1% (331) | 17.2% (2,093) |
| Less than High School | 7.6% (108) | 5.8% (711) |
| Bachelor's Degree and Higher | 16.4% (235) | 18.6% (2,271) |
Education Levels Comparison: Mars vs Diamond springs
- In Diamond springs, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Mars.
- A higher percentage of residents in Mars hold a high school diploma at 23.1% compared to 17.2% in Diamond springs.
- More residents in Mars have less than a high school education at 7.6% compared to 5.8% in Diamond springs.
- In Diamond springs, a larger share of residents have a bachelor's degree or higher at 18.6% compared to 16.4% in Mars.
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.