Demographics details for Orchard, NE vs East berlin, PA
Population Overview
Compare main population characteristics in Orchard, NE vs East berlin, PA.
| Data | Orchard | East berlin |
|---|---|---|
| Population | 354 | 1,554 |
| Median Age | 36.5 years | 41.9 years |
| Median Income | $45,357 | $68,628 |
| Married Families | 42.0% | 47.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Orchard vs East berlin
- The population in East berlin is higher at 1,554, compared to 354 in Orchard.
- The median age in East berlin is higher at 41.9 years, compared to 36.5 years in Orchard.
- East berlin has a higher median income of $68,628, compared to $45,357 in Orchard.
- In East berlin, the percentage of married families is higher at 47.0%, compared to 42.0% in Orchard.
- Orchard has a higher poverty level at 10% compared to 5% in East berlin.
- East berlin has a higher unemployment rate at 4.5% compared to 3.5% in Orchard.
Demographics
Demographics Orchard vs East berlin provide insight into the diversity of the communities to compare.
| Demographic | Orchard | East berlin |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 93 | 92 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 5 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Orchard vs East berlin
- The percentage of Black residents is the same in both Orchard and East berlin at 0%.
- Orchard has a higher percentage of White residents at 93% compared to 92% in East berlin.
- Both Orchard and East berlin have the same percentage of Asian residents at 0%.
- East berlin has a higher percentage of Hispanic residents at 5%, compared to 4% in Orchard.
- Both Orchard and East berlin have the same percentage of residents identifying as two or more races at 3%.
- The percentage of American Indian residents is the same in both Orchard and East berlin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orchard | East berlin |
|---|---|---|
| Mental Health Not Good | 13.9% | 16.9% |
| Physical Health Not Good | 9.4% | 11.1% |
| Depression | 16.6% | 24.1% |
| Smoking | 17.0% | 18.8% |
| Binge Drinking | 21.9% | 19.2% |
| Obesity | 36.1% | 36.9% |
| Disability Percentage | 19.0% | 12.0% |
Health Statistics Comparison: Orchard vs East berlin
- In East berlin, a higher percentage report poor mental health at 16.9% compared to 13.9% in Orchard.
- Higher depression rates are seen in East berlin at 24.1% versus 16.6% in Orchard.
- East berlin has a higher smoking rate at 18.8% compared to 17.0% in Orchard.
- Binge drinking is more common in Orchard at 21.9% compared to 19.2% in East berlin.
- East berlin has higher obesity rates at 36.9% compared to 36.1% in Orchard.
- Disability percentages are higher in Orchard at 19.0% 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 | Orchard | East berlin |
|---|---|---|
| No Schooling | 0.3% (1) | 2.1% (32) |
| High School Diploma | 21.5% (76) | 26.2% (407) |
| Less than High School | 13.0% (46) | 16.5% (257) |
| Bachelor's Degree and Higher | 13.3% (47) | 17.5% (272) |
Education Levels Comparison: Orchard vs East berlin
- In East berlin, a larger percentage of residents lack formal schooling at 2.1% compared to 0.3% in Orchard.
- In East berlin, the rate of residents with high school diplomas is higher at 26.2% compared to 21.5% in Orchard.
- The percentage of residents with less than a high school education is higher in East berlin at 16.5%, compared to 13.0% in Orchard.
- In East berlin, a larger share of residents have a bachelor's degree or higher at 17.5% compared to 13.3% in Orchard.
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.