Demographics details for East berlin, PA vs Woodruff, SC
Population Overview
Compare main population characteristics in East berlin, PA vs Woodruff, SC.
| Data | East berlin | Woodruff |
|---|---|---|
| Population | 1,554 | 4,431 |
| Median Age | 41.9 years | 37.3 years |
| Median Income | $68,628 | $68,451 |
| Married Families | 47.0% | 22.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: East berlin vs Woodruff
- The population in Woodruff is higher at 4,431, compared to 1,554 in East berlin.
- Residents in East berlin have a higher median age of 41.9 years compared to 37.3 years in Woodruff.
- East berlin has a higher median income of $68,628 compared to $68,451 in Woodruff.
- A higher percentage of married families is found in East berlin at 47.0% compared to 22.0% in Woodruff.
- The poverty level is higher in Woodruff at 10%, compared to 5% in East berlin.
- The unemployment rate is the same in both East berlin and Woodruff at 4.5%.
Demographics
Demographics East berlin vs Woodruff provide insight into the diversity of the communities to compare.
| Demographic | East berlin | Woodruff |
|---|---|---|
| Black | Data is updating | 24 |
| White | 92 | 70 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 4 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: East berlin vs Woodruff
- In Woodruff, the percentage of Black residents is higher at 24% compared to 0% in East berlin.
- East berlin has a higher percentage of White residents at 92% compared to 70% in Woodruff.
- Both East berlin and Woodruff have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in East berlin at 5% compared to 4% in Woodruff.
- More residents identify as two or more races in East berlin at 3% compared to 2% in Woodruff.
- The percentage of American Indian residents is the same in both East berlin and Woodruff at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | East berlin | Woodruff |
|---|---|---|
| Mental Health Not Good | 16.9% | 19.0% |
| Physical Health Not Good | 11.1% | 13.1% |
| Depression | 24.1% | 24.8% |
| Smoking | 18.8% | 20.3% |
| Binge Drinking | 19.2% | 15.3% |
| Obesity | 36.9% | 36.4% |
| Disability Percentage | 12.0% | 17.0% |
Health Statistics Comparison: East berlin vs Woodruff
- In Woodruff, a higher percentage report poor mental health at 19.0% compared to 16.9% in East berlin.
- Higher depression rates are seen in Woodruff at 24.8% versus 24.1% in East berlin.
- Woodruff has a higher smoking rate at 20.3% compared to 18.8% in East berlin.
- Binge drinking is more common in East berlin at 19.2% compared to 15.3% in Woodruff.
- Obesity rates are higher in East berlin at 36.9% compared to 36.4% in Woodruff.
- There is a higher percentage of disabled individuals in Woodruff at 17.0% compared to 12.0% in East berlin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | East berlin | Woodruff |
|---|---|---|
| No Schooling | 2.1% (32) | 0.0% (Data is updating) |
| High School Diploma | 26.2% (407) | 20.5% (907) |
| Less than High School | 16.5% (257) | 20.9% (926) |
| Bachelor's Degree and Higher | 17.5% (272) | 13.3% (589) |
Education Levels Comparison: East berlin vs Woodruff
- A higher percentage of residents in East berlin have no formal schooling at 2.1% compared to 0.0% in Woodruff.
- A higher percentage of residents in East berlin hold a high school diploma at 26.2% compared to 20.5% in Woodruff.
- The percentage of residents with less than a high school education is higher in Woodruff at 20.9%, compared to 16.5% in East berlin.
- A higher percentage of residents in East berlin hold a bachelor's degree or higher at 17.5% compared to 13.3% in Woodruff.
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.