Demographics details for East berlin, PA vs Wildwood, GA
Population Overview
Compare main population characteristics in East berlin, PA vs Wildwood, GA.
| Data | East berlin | Wildwood |
|---|---|---|
| Population | 1,554 | 1,923 |
| Median Age | 41.9 years | 35.0 years |
| Median Income | $68,628 | $50,000 |
| Married Families | 47.0% | 30.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: East berlin vs Wildwood
- The population in Wildwood is higher at 1,923, compared to 1,554 in East berlin.
- Residents in East berlin have a higher median age of 41.9 years compared to 35.0 years in Wildwood.
- East berlin has a higher median income of $68,628 compared to $50,000 in Wildwood.
- A higher percentage of married families is found in East berlin at 47.0% compared to 30.0% in Wildwood.
- The poverty level is higher in Wildwood at 12%, compared to 5% in East berlin.
- The unemployment rate in East berlin is higher at 4.5%, compared to 4.0% in Wildwood.
Demographics
Demographics East berlin vs Wildwood provide insight into the diversity of the communities to compare.
| Demographic | East berlin | Wildwood |
|---|---|---|
| Black | Data is updating | 5 |
| White | 92 | 90 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 3 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: East berlin vs Wildwood
- In Wildwood, the percentage of Black residents is higher at 5% compared to 0% in East berlin.
- East berlin has a higher percentage of White residents at 92% compared to 90% in Wildwood.
- Both East berlin and Wildwood have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in East berlin at 5% compared to 3% in Wildwood.
- More residents identify as two or more races in East berlin at 3% compared to 2% in Wildwood.
- The percentage of American Indian residents is the same in both East berlin and Wildwood at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | East berlin | Wildwood |
|---|---|---|
| Mental Health Not Good | 16.9% | Data is updating% |
| Physical Health Not Good | 11.1% | Data is updating% |
| Depression | 24.1% | Data is updating% |
| Smoking | 18.8% | Data is updating% |
| Binge Drinking | 19.2% | Data is updating% |
| Obesity | 36.9% | Data is updating% |
| Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: East berlin vs Wildwood
- More residents in East berlin report poor mental health at 16.9% compared to 0.0% in Wildwood.
- Depression is more prevalent in East berlin at 24.1% compared to 0.0% in Wildwood.
- Smoking is more prevalent in East berlin at 18.8% compared to 0.0% in Wildwood.
- Binge drinking is more common in East berlin at 19.2% compared to 0.0% in Wildwood.
- Obesity rates are higher in East berlin at 36.9% compared to 0.0% in Wildwood.
- Disability percentages are higher in East berlin at 12.0% compared to 0.0% in Wildwood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | East berlin | Wildwood |
|---|---|---|
| No Schooling | 2.1% (32) | 0.0% (Data is updating) |
| High School Diploma | 26.2% (407) | 0.0% (Data is updating) |
| Less than High School | 16.5% (257) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 17.5% (272) | 0.0% (Data is updating) |
Education Levels Comparison: East berlin vs Wildwood
- A higher percentage of residents in East berlin have no formal schooling at 2.1% compared to 0.0% in Wildwood.
- A higher percentage of residents in East berlin hold a high school diploma at 26.2% compared to 0.0% in Wildwood.
- More residents in East berlin have less than a high school education at 16.5% compared to 0.0% in Wildwood.
- A higher percentage of residents in East berlin hold a bachelor's degree or higher at 17.5% compared to 0.0% in Wildwood.
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.