Demographics details for Savage, MN vs Bieber, CA
Population Overview
Compare main population characteristics in Savage, MN vs Bieber, CA.
| Data | Savage | Bieber |
|---|---|---|
| Population | 32,893 | 151 |
| Median Age | 37.5 years | 33.6 years |
| Median Income | $123,069 | $46,667 |
| Married Families | 47.0% | 34.0% |
| Poverty Level | 4% | Data is updating |
| Unemployment Rate | 3.3 | 5.1 |
Population Comparison: Savage vs Bieber
- In Savage, the population is higher at 32,893, compared to 151 in Bieber.
- Residents in Savage have a higher median age of 37.5 years compared to 33.6 years in Bieber.
- Savage has a higher median income of $123,069 compared to $46,667 in Bieber.
- A higher percentage of married families is found in Savage at 47.0% compared to 34.0% in Bieber.
- Savage has a higher poverty level at 4% compared to 0% in Bieber.
- Bieber has a higher unemployment rate at 5.1% compared to 3.3% in Savage.
Demographics
Demographics Savage vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Savage | Bieber |
|---|---|---|
| Black | 9 | Data is updating |
| White | 74 | 94 |
| Asian | 7 | Data is updating |
| Hispanic | 5 | 3 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Savage vs Bieber
- A higher percentage of Black residents are in Savage at 9% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 74% in Savage.
- The Asian population is larger in Savage at 7% compared to 0% in Bieber.
- The Hispanic community is larger in Savage at 5% compared to 3% in Bieber.
- More residents identify as two or more races in Savage at 5% compared to 3% in Bieber.
- The percentage of American Indian residents is the same in both Savage and Bieber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Savage | Bieber |
|---|---|---|
| Mental Health Not Good | 12.1% | 17.6% |
| Physical Health Not Good | 7.5% | 11.9% |
| Depression | 20.5% | 21.1% |
| Smoking | 12.0% | 14.9% |
| Binge Drinking | 18.9% | 18.1% |
| Obesity | 32.4% | 30.8% |
| Disability Percentage | 7.0% | 19.0% |
Health Statistics Comparison: Savage vs Bieber
- In Bieber, a higher percentage report poor mental health at 17.6% compared to 12.1% in Savage.
- Higher depression rates are seen in Bieber at 21.1% versus 20.5% in Savage.
- Bieber has a higher smoking rate at 14.9% compared to 12.0% in Savage.
- Binge drinking is more common in Savage at 18.9% compared to 18.1% in Bieber.
- Obesity rates are higher in Savage at 32.4% compared to 30.8% in Bieber.
- There is a higher percentage of disabled individuals in Bieber at 19.0% compared to 7.0% in Savage.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Savage | Bieber |
|---|---|---|
| No Schooling | 0.9% (303) | 0.0% (Data is updating) |
| High School Diploma | 9.0% (2,949) | 13.2% (20) |
| Less than High School | 3.3% (1,095) | 5.3% (8) |
| Bachelor's Degree and Higher | 34.5% (11,339) | 6.0% (9) |
Education Levels Comparison: Savage vs Bieber
- A higher percentage of residents in Savage have no formal schooling at 0.9% compared to 0.0% in Bieber.
- In Bieber, the rate of residents with high school diplomas is higher at 13.2% compared to 9.0% in Savage.
- The percentage of residents with less than a high school education is higher in Bieber at 5.3%, compared to 3.3% in Savage.
- A higher percentage of residents in Savage hold a bachelor's degree or higher at 34.5% compared to 6.0% in Bieber.
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.