Demographics details for Bamberg, SC vs Washington, IN
Population Overview
Compare main population characteristics in Bamberg, SC vs Washington, IN.
| Data | Bamberg | Washington |
|---|---|---|
| Population | 12,908 | 12,171 |
| Median Age | 40.8 years | 37.0 years |
| Median Income | $43,920 | $48,255 |
| Married Families | 31.0% | 38.0% |
| Poverty Level | 23% | 12% |
| Unemployment Rate | 8.4 | 3.2 |
Population Comparison: Bamberg vs Washington
- In Bamberg, the population is higher at 12,908, compared to 12,171 in Washington.
- Residents in Bamberg have a higher median age of 40.8 years compared to 37.0 years in Washington.
- Washington has a higher median income of $48,255, compared to $43,920 in Bamberg.
- In Washington, the percentage of married families is higher at 38.0%, compared to 31.0% in Bamberg.
- Bamberg has a higher poverty level at 23% compared to 12% in Washington.
- The unemployment rate in Bamberg is higher at 8.4%, compared to 3.2% in Washington.
Demographics
Demographics Bamberg vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Bamberg | Washington |
|---|---|---|
| Black | 62 | 4 |
| White | 35 | 76 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 12 |
| Two or More Races | 1 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bamberg vs Washington
- A higher percentage of Black residents are in Bamberg at 62% compared to 4% in Washington.
- The percentage of White residents is higher in Washington at 76% compared to 35% in Bamberg.
- Both Bamberg and Washington have the same percentage of Asian residents at 0%.
- Washington has a higher percentage of Hispanic residents at 12%, compared to 2% in Bamberg.
- The percentage of residents identifying as two or more races is higher in Washington at 8%, compared to 1% in Bamberg.
- The percentage of American Indian residents is the same in both Bamberg and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bamberg | Washington |
|---|---|---|
| Mental Health Not Good | 18.9% | 18.7% |
| Physical Health Not Good | 13.4% | 13.5% |
| Depression | 20.7% | 27.6% |
| Smoking | 21.2% | 23.3% |
| Binge Drinking | 15.2% | 16.3% |
| Obesity | 44.2% | 36.4% |
| Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Bamberg vs Washington
- More residents in Bamberg report poor mental health at 18.9% compared to 18.7% in Washington.
- Higher depression rates are seen in Washington at 27.6% versus 20.7% in Bamberg.
- Washington has a higher smoking rate at 23.3% compared to 21.2% in Bamberg.
- More residents engage in binge drinking in Washington at 16.3% compared to 15.2% in Bamberg.
- Obesity rates are higher in Bamberg at 44.2% compared to 36.4% in Washington.
- Disability percentages are higher in Bamberg at 20.0% compared to 16.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bamberg | Washington |
|---|---|---|
| No Schooling | 1.6% (209) | 1.3% (163) |
| High School Diploma | 18.1% (2,342) | 22.8% (2,771) |
| Less than High School | 19.0% (2,448) | 20.2% (2,460) |
| Bachelor's Degree and Higher | 12.4% (1,603) | 9.3% (1,129) |
Education Levels Comparison: Bamberg vs Washington
- A higher percentage of residents in Bamberg have no formal schooling at 1.6% compared to 1.3% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 22.8% compared to 18.1% in Bamberg.
- The percentage of residents with less than a high school education is higher in Washington at 20.2%, compared to 19.0% in Bamberg.
- A higher percentage of residents in Bamberg hold a bachelor's degree or higher at 12.4% compared to 9.3% in Washington.
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.