Demographics details for Mountain view, CA vs Bamberg, SC
Population Overview
Compare main population characteristics in Mountain view, CA vs Bamberg, SC.
| Data | Mountain view | Bamberg |
|---|---|---|
| Population | 81,059 | 12,908 |
| Median Age | 35.5 years | 40.8 years |
| Median Income | $174,156 | $43,920 |
| Married Families | 43.0% | 31.0% |
| Poverty Level | 6% | 23% |
| Unemployment Rate | 3.2 | 8.4 |
Population Comparison: Mountain view vs Bamberg
- In Mountain view, the population is higher at 81,059, compared to 12,908 in Bamberg.
- The median age in Bamberg is higher at 40.8 years, compared to 35.5 years in Mountain view.
- Mountain view has a higher median income of $174,156 compared to $43,920 in Bamberg.
- A higher percentage of married families is found in Mountain view at 43.0% compared to 31.0% in Bamberg.
- The poverty level is higher in Bamberg at 23%, compared to 6% in Mountain view.
- Bamberg has a higher unemployment rate at 8.4% compared to 3.2% in Mountain view.
Demographics
Demographics Mountain view vs Bamberg provide insight into the diversity of the communities to compare.
| Demographic | Mountain view | Bamberg |
|---|---|---|
| Black | 2 | 62 |
| White | 32 | 35 |
| Asian | 34 | Data is updating |
| Hispanic | 19 | 2 |
| Two or More Races | 12 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Mountain view vs Bamberg
- In Bamberg, the percentage of Black residents is higher at 62% compared to 2% in Mountain view.
- The percentage of White residents is higher in Bamberg at 35% compared to 32% in Mountain view.
- The Asian population is larger in Mountain view at 34% compared to 0% in Bamberg.
- The Hispanic community is larger in Mountain view at 19% compared to 2% in Bamberg.
- More residents identify as two or more races in Mountain view at 12% compared to 1% in Bamberg.
- A greater percentage of American Indian residents live in Mountain view at 1% compared to 0% in Bamberg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mountain view | Bamberg |
|---|---|---|
| Mental Health Not Good | 11.7% | 18.9% |
| Physical Health Not Good | 7.1% | 13.4% |
| Depression | 14.7% | 20.7% |
| Smoking | 6.5% | 21.2% |
| Binge Drinking | 14.9% | 15.2% |
| Obesity | 19.1% | 44.2% |
| Disability Percentage | 6.0% | 20.0% |
Health Statistics Comparison: Mountain view vs Bamberg
- In Bamberg, a higher percentage report poor mental health at 18.9% compared to 11.7% in Mountain view.
- Higher depression rates are seen in Bamberg at 20.7% versus 14.7% in Mountain view.
- Bamberg has a higher smoking rate at 21.2% compared to 6.5% in Mountain view.
- More residents engage in binge drinking in Bamberg at 15.2% compared to 14.9% in Mountain view.
- Bamberg has higher obesity rates at 44.2% compared to 19.1% in Mountain view.
- There is a higher percentage of disabled individuals in Bamberg at 20.0% compared to 6.0% in Mountain view.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mountain view | Bamberg |
|---|---|---|
| No Schooling | 1.0% (826) | 1.6% (209) |
| High School Diploma | 4.9% (3,963) | 18.1% (2,342) |
| Less than High School | 7.1% (5,739) | 19.0% (2,448) |
| Bachelor's Degree and Higher | 54.5% (44,174) | 12.4% (1,603) |
Education Levels Comparison: Mountain view vs Bamberg
- In Bamberg, a larger percentage of residents lack formal schooling at 1.6% compared to 1.0% in Mountain view.
- In Bamberg, the rate of residents with high school diplomas is higher at 18.1% compared to 4.9% in Mountain view.
- The percentage of residents with less than a high school education is higher in Bamberg at 19.0%, compared to 7.1% in Mountain view.
- A higher percentage of residents in Mountain view hold a bachelor's degree or higher at 54.5% compared to 12.4% in Bamberg.
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.