Demographics details for East berlin, PA vs New albany, OH
Population Overview
Compare main population characteristics in East berlin, PA vs New albany, OH.
Data | East berlin | New albany |
---|---|---|
Population | 1,554 | 11,043 |
Median Age | 41.9 years | 40.9 years |
Median Income | $68,628 | $224,824 |
Married Families | 47.0% | 51.0% |
Poverty Level | 5% | 1% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: East berlin vs New albany
- The population in New albany is higher at 11,043, compared to 1,554 in East berlin.
- Residents in East berlin have a higher median age of 41.9 years compared to 40.9 years in New albany.
- New albany has a higher median income of $224,824, compared to $68,628 in East berlin.
- In New albany, the percentage of married families is higher at 51.0%, compared to 47.0% in East berlin.
- East berlin has a higher poverty level at 5% compared to 1% in New albany.
- The unemployment rate in East berlin is higher at 4.5%, compared to 3.2% in New albany.
Demographics
Demographics East berlin vs New albany provide insight into the diversity of the communities to compare.
Demographic | East berlin | New albany |
---|---|---|
Black | Data is updating | 2 |
White | 92 | 72 |
Asian | Data is updating | 8 |
Hispanic | 5 | 7 |
Two or More Races | 3 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: East berlin vs New albany
- In New albany, the percentage of Black residents is higher at 2% compared to 0% in East berlin.
- East berlin has a higher percentage of White residents at 92% compared to 72% in New albany.
- In New albany, the Asian population stands at 8%, greater than 0% in East berlin.
- New albany has a higher percentage of Hispanic residents at 7%, compared to 5% in East berlin.
- The percentage of residents identifying as two or more races is higher in New albany at 11%, compared to 3% in East berlin.
- The percentage of American Indian residents is the same in both East berlin and New albany at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | East berlin | New albany |
---|---|---|
Mental Health Not Good | 16.9% | 13.6% |
Physical Health Not Good | 11.1% | 7.3% |
Depression | 24.1% | 22.1% |
Smoking | 18.8% | 10.1% |
Binge Drinking | 19.2% | 20.8% |
Obesity | 36.9% | 28.6% |
Disability Percentage | 12.0% | 4.0% |
Health Statistics Comparison: East berlin vs New albany
- More residents in East berlin report poor mental health at 16.9% compared to 13.6% in New albany.
- Depression is more prevalent in East berlin at 24.1% compared to 22.1% in New albany.
- Smoking is more prevalent in East berlin at 18.8% compared to 10.1% in New albany.
- More residents engage in binge drinking in New albany at 20.8% compared to 19.2% in East berlin.
- Obesity rates are higher in East berlin at 36.9% compared to 28.6% in New albany.
- Disability percentages are higher in East berlin at 12.0% compared to 4.0% in New albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | East berlin | New albany |
---|---|---|
No Schooling | 2.1% (32) | 0.2% (17) |
High School Diploma | 26.2% (407) | 3.4% (371) |
Less than High School | 16.5% (257) | 1.0% (111) |
Bachelor's Degree and Higher | 17.5% (272) | 45.6% (5,031) |
Education Levels Comparison: East berlin vs New albany
- A higher percentage of residents in East berlin have no formal schooling at 2.1% compared to 0.2% in New albany.
- A higher percentage of residents in East berlin hold a high school diploma at 26.2% compared to 3.4% in New albany.
- More residents in East berlin have less than a high school education at 16.5% compared to 1.0% in New albany.
- In New albany, a larger share of residents have a bachelor's degree or higher at 45.6% compared to 17.5% in East berlin.
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.