Demographics details for Bamberg, SC vs Freeland, WA
Population Overview
Compare main population characteristics in Bamberg, SC vs Freeland, WA.
| Data | Bamberg | Freeland |
|---|---|---|
| Population | 12,908 | 1,894 |
| Median Age | 40.8 years | 51.2 years |
| Median Income | $43,920 | $89,868 |
| Married Families | 31.0% | 44.0% |
| Poverty Level | 23% | 5% |
| Unemployment Rate | 8.4 | 5.1 |
Population Comparison: Bamberg vs Freeland
- In Bamberg, the population is higher at 12,908, compared to 1,894 in Freeland.
- The median age in Freeland is higher at 51.2 years, compared to 40.8 years in Bamberg.
- Freeland has a higher median income of $89,868, compared to $43,920 in Bamberg.
- In Freeland, the percentage of married families is higher at 44.0%, compared to 31.0% in Bamberg.
- Bamberg has a higher poverty level at 23% compared to 5% in Freeland.
- The unemployment rate in Bamberg is higher at 8.4%, compared to 5.1% in Freeland.
Demographics
Demographics Bamberg vs Freeland provide insight into the diversity of the communities to compare.
| Demographic | Bamberg | Freeland |
|---|---|---|
| Black | 62 | 3 |
| White | 35 | 86 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 3 |
| Two or More Races | 1 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bamberg vs Freeland
- A higher percentage of Black residents are in Bamberg at 62% compared to 3% in Freeland.
- The percentage of White residents is higher in Freeland at 86% compared to 35% in Bamberg.
- In Freeland, the Asian population stands at 1%, greater than 0% in Bamberg.
- Freeland has a higher percentage of Hispanic residents at 3%, compared to 2% in Bamberg.
- The percentage of residents identifying as two or more races is higher in Freeland at 6%, compared to 1% in Bamberg.
- In Freeland, the percentage of American Indian residents is higher at 1%, compared to 0% in Bamberg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bamberg | Freeland |
|---|---|---|
| Mental Health Not Good | 18.9% | 15.8% |
| Physical Health Not Good | 13.4% | 9.2% |
| Depression | 20.7% | 25.5% |
| Smoking | 21.2% | 11.8% |
| Binge Drinking | 15.2% | 18.0% |
| Obesity | 44.2% | 29.6% |
| Disability Percentage | 20.0% | 19.0% |
Health Statistics Comparison: Bamberg vs Freeland
- More residents in Bamberg report poor mental health at 18.9% compared to 15.8% in Freeland.
- Higher depression rates are seen in Freeland at 25.5% versus 20.7% in Bamberg.
- Smoking is more prevalent in Bamberg at 21.2% compared to 11.8% in Freeland.
- More residents engage in binge drinking in Freeland at 18.0% compared to 15.2% in Bamberg.
- Obesity rates are higher in Bamberg at 44.2% compared to 29.6% in Freeland.
- Disability percentages are higher in Bamberg at 20.0% compared to 19.0% in Freeland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bamberg | Freeland |
|---|---|---|
| No Schooling | 1.6% (209) | 0.0% (Data is updating) |
| High School Diploma | 18.1% (2,342) | 8.1% (153) |
| Less than High School | 19.0% (2,448) | 8.7% (164) |
| Bachelor's Degree and Higher | 12.4% (1,603) | 28.9% (548) |
Education Levels Comparison: Bamberg vs Freeland
- A higher percentage of residents in Bamberg have no formal schooling at 1.6% compared to 0.0% in Freeland.
- A higher percentage of residents in Bamberg hold a high school diploma at 18.1% compared to 8.1% in Freeland.
- More residents in Bamberg have less than a high school education at 19.0% compared to 8.7% in Freeland.
- In Freeland, a larger share of residents have a bachelor's degree or higher at 28.9% 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.