Demographics details for Daphne, AL vs East berlin, PA
Population Overview
Compare main population characteristics in Daphne, AL vs East berlin, PA.
| Data | Daphne | East berlin |
|---|---|---|
| Population | 29,670 | 1,554 |
| Median Age | 37.6 years | 41.9 years |
| Median Income | $80,657 | $68,628 |
| Married Families | 41.0% | 47.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 2.7 | 4.5 |
Population Comparison: Daphne vs East berlin
- In Daphne, the population is higher at 29,670, compared to 1,554 in East berlin.
- The median age in East berlin is higher at 41.9 years, compared to 37.6 years in Daphne.
- Daphne has a higher median income of $80,657 compared to $68,628 in East berlin.
- In East berlin, the percentage of married families is higher at 47.0%, compared to 41.0% in Daphne.
- Daphne 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 2.7% in Daphne.
Demographics
Demographics Daphne vs East berlin provide insight into the diversity of the communities to compare.
| Demographic | Daphne | East berlin |
|---|---|---|
| Black | 14 | Data is updating |
| White | 74 | 92 |
| Asian | 3 | Data is updating |
| Hispanic | 4 | 5 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Daphne vs East berlin
- A higher percentage of Black residents are in Daphne at 14% compared to 0% in East berlin.
- The percentage of White residents is higher in East berlin at 92% compared to 74% in Daphne.
- The Asian population is larger in Daphne at 3% compared to 0% in East berlin.
- East berlin has a higher percentage of Hispanic residents at 5%, compared to 4% in Daphne.
- More residents identify as two or more races in Daphne at 5% compared to 3% in East berlin.
- The percentage of American Indian residents is the same in both Daphne and East berlin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Daphne | East berlin |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.9% |
| Physical Health Not Good | 10.5% | 11.1% |
| Depression | 22.8% | 24.1% |
| Smoking | 14.0% | 18.8% |
| Binge Drinking | 17.7% | 19.2% |
| Obesity | 37.2% | 36.9% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Daphne vs East berlin
- Poor mental health levels are equal in both Daphne and East berlin at 16.9%.
- Higher depression rates are seen in East berlin at 24.1% versus 22.8% in Daphne.
- East berlin has a higher smoking rate at 18.8% compared to 14.0% in Daphne.
- More residents engage in binge drinking in East berlin at 19.2% compared to 17.7% in Daphne.
- Obesity rates are higher in Daphne at 37.2% compared to 36.9% in East berlin.
- There is a higher percentage of disabled individuals in East berlin at 12.0% compared to 9.0% in Daphne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Daphne | East berlin |
|---|---|---|
| No Schooling | 0.1% (43) | 2.1% (32) |
| High School Diploma | 11.4% (3,374) | 26.2% (407) |
| Less than High School | 5.4% (1,610) | 16.5% (257) |
| Bachelor's Degree and Higher | 25.3% (7,505) | 17.5% (272) |
Education Levels Comparison: Daphne vs East berlin
- In East berlin, a larger percentage of residents lack formal schooling at 2.1% compared to 0.1% in Daphne.
- In East berlin, the rate of residents with high school diplomas is higher at 26.2% compared to 11.4% in Daphne.
- The percentage of residents with less than a high school education is higher in East berlin at 16.5%, compared to 5.4% in Daphne.
- A higher percentage of residents in Daphne hold a bachelor's degree or higher at 25.3% 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.