Demographics details for East berlin, PA vs Pond eddy, NY
Population Overview
Compare main population characteristics in East berlin, PA vs Pond eddy, NY.
| Data | East berlin | Pond eddy |
|---|---|---|
| Population | 1,554 | 389 |
| Median Age | 41.9 years | 45.0 years |
| Median Income | $68,628 | $55,000 |
| Married Families | 47.0% | 65.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: East berlin vs Pond eddy
- In East berlin, the population is higher at 1,554, compared to 389 in Pond eddy.
- The median age in Pond eddy is higher at 45.0 years, compared to 41.9 years in East berlin.
- East berlin has a higher median income of $68,628 compared to $55,000 in Pond eddy.
- In Pond eddy, the percentage of married families is higher at 65.0%, compared to 47.0% in East berlin.
- The poverty level is higher in Pond eddy at 10%, compared to 5% in East berlin.
- The unemployment rate in East berlin is higher at 4.5%, compared to 4.0% in Pond eddy.
Demographics
Demographics East berlin vs Pond eddy provide insight into the diversity of the communities to compare.
| Demographic | East berlin | Pond eddy |
|---|---|---|
| Black | Data is updating | 2 |
| White | 92 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 2 |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: East berlin vs Pond eddy
- In Pond eddy, the percentage of Black residents is higher at 2% compared to 0% in East berlin.
- The percentage of White residents is higher in Pond eddy at 95% compared to 92% in East berlin.
- In Pond eddy, the Asian population stands at 1%, greater than 0% in East berlin.
- The Hispanic community is larger in East berlin at 5% compared to 2% in Pond eddy.
- More residents identify as two or more races in East berlin at 3% compared to 0% in Pond eddy.
- The percentage of American Indian residents is the same in both East berlin and Pond eddy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | East berlin | Pond eddy |
|---|---|---|
| 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 Pond eddy
- More residents in East berlin report poor mental health at 16.9% compared to 0.0% in Pond eddy.
- Depression is more prevalent in East berlin at 24.1% compared to 0.0% in Pond eddy.
- Smoking is more prevalent in East berlin at 18.8% compared to 0.0% in Pond eddy.
- Binge drinking is more common in East berlin at 19.2% compared to 0.0% in Pond eddy.
- Obesity rates are higher in East berlin at 36.9% compared to 0.0% in Pond eddy.
- Disability percentages are higher in East berlin at 12.0% compared to 0.0% in Pond eddy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | East berlin | Pond eddy |
|---|---|---|
| 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 Pond eddy
- A higher percentage of residents in East berlin have no formal schooling at 2.1% compared to 0.0% in Pond eddy.
- A higher percentage of residents in East berlin hold a high school diploma at 26.2% compared to 0.0% in Pond eddy.
- More residents in East berlin have less than a high school education at 16.5% compared to 0.0% in Pond eddy.
- A higher percentage of residents in East berlin hold a bachelor's degree or higher at 17.5% compared to 0.0% in Pond eddy.
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.