Demographics details for Dallastown, PA vs Elizabeth, NJ
Population Overview
Compare main population characteristics in Dallastown, PA vs Elizabeth, NJ.
| Data | Dallastown | Elizabeth |
|---|---|---|
| Population | 4,176 | 134,283 |
| Median Age | 39.9 years | 35.7 years |
| Median Income | $56,397 | $59,939 |
| Married Families | 39.0% | 30.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.5 | 5.9 |
Population Comparison: Dallastown vs Elizabeth
- The population in Elizabeth is higher at 134,283, compared to 4,176 in Dallastown.
- Residents in Dallastown have a higher median age of 39.9 years compared to 35.7 years in Elizabeth.
- Elizabeth has a higher median income of $59,939, compared to $56,397 in Dallastown.
- A higher percentage of married families is found in Dallastown at 39.0% compared to 30.0% in Elizabeth.
- The poverty level is higher in Elizabeth at 12%, compared to 7% in Dallastown.
- Elizabeth has a higher unemployment rate at 5.9% compared to 3.5% in Dallastown.
Demographics
Demographics Dallastown vs Elizabeth provide insight into the diversity of the communities to compare.
| Demographic | Dallastown | Elizabeth |
|---|---|---|
| Black | 2 | 18 |
| White | 92 | 11 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 66 |
| Two or More Races | 2 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Dallastown vs Elizabeth
- In Elizabeth, the percentage of Black residents is higher at 18% compared to 2% in Dallastown.
- Dallastown has a higher percentage of White residents at 92% compared to 11% in Elizabeth.
- In Elizabeth, the Asian population stands at 2%, greater than 0% in Dallastown.
- Elizabeth has a higher percentage of Hispanic residents at 66%, compared to 4% in Dallastown.
- The percentage of residents identifying as two or more races is higher in Elizabeth at 14%, compared to 2% in Dallastown.
- In Elizabeth, the percentage of American Indian residents is higher at 1%, compared to 0% in Dallastown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dallastown | Elizabeth |
|---|---|---|
| Mental Health Not Good | 17.7% | 16.8% |
| Physical Health Not Good | 12.3% | 14.5% |
| Depression | 25.2% | 18.0% |
| Smoking | 19.4% | 17.7% |
| Binge Drinking | 17.4% | 15.0% |
| Obesity | 41.0% | 33.9% |
| Disability Percentage | 20.0% | 10.0% |
Health Statistics Comparison: Dallastown vs Elizabeth
- More residents in Dallastown report poor mental health at 17.7% compared to 16.8% in Elizabeth.
- Depression is more prevalent in Dallastown at 25.2% compared to 18.0% in Elizabeth.
- Smoking is more prevalent in Dallastown at 19.4% compared to 17.7% in Elizabeth.
- Binge drinking is more common in Dallastown at 17.4% compared to 15.0% in Elizabeth.
- Obesity rates are higher in Dallastown at 41.0% compared to 33.9% in Elizabeth.
- Disability percentages are higher in Dallastown at 20.0% compared to 10.0% in Elizabeth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dallastown | Elizabeth |
|---|---|---|
| No Schooling | 0.0% (1) | 2.6% (3,513) |
| High School Diploma | 22.5% (939) | 23.7% (31,770) |
| Less than High School | 12.3% (512) | 31.8% (42,757) |
| Bachelor's Degree and Higher | 14.3% (599) | 9.2% (12,394) |
Education Levels Comparison: Dallastown vs Elizabeth
- In Elizabeth, a larger percentage of residents lack formal schooling at 2.6% compared to 0.0% in Dallastown.
- In Elizabeth, the rate of residents with high school diplomas is higher at 23.7% compared to 22.5% in Dallastown.
- The percentage of residents with less than a high school education is higher in Elizabeth at 31.8%, compared to 12.3% in Dallastown.
- A higher percentage of residents in Dallastown hold a bachelor's degree or higher at 14.3% compared to 9.2% in Elizabeth.
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.