Demographics details for Elizabeth, NJ vs Wickliffe, OH
Population Overview
Compare main population characteristics in Elizabeth, NJ vs Wickliffe, OH.
| Data | Elizabeth | Wickliffe |
|---|---|---|
| Population | 134,283 | 12,610 |
| Median Age | 35.7 years | 43.7 years |
| Median Income | $59,939 | $76,938 |
| Married Families | 30.0% | 37.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 5.9 | 4.5 |
Population Comparison: Elizabeth vs Wickliffe
- In Elizabeth, the population is higher at 134,283, compared to 12,610 in Wickliffe.
- The median age in Wickliffe is higher at 43.7 years, compared to 35.7 years in Elizabeth.
- Wickliffe has a higher median income of $76,938, compared to $59,939 in Elizabeth.
- In Wickliffe, the percentage of married families is higher at 37.0%, compared to 30.0% in Elizabeth.
- Elizabeth has a higher poverty level at 12% compared to 5% in Wickliffe.
- The unemployment rate in Elizabeth is higher at 5.9%, compared to 4.5% in Wickliffe.
Demographics
Demographics Elizabeth vs Wickliffe provide insight into the diversity of the communities to compare.
| Demographic | Elizabeth | Wickliffe |
|---|---|---|
| Black | 18 | 6 |
| White | 11 | 85 |
| Asian | 2 | 2 |
| Hispanic | 66 | 2 |
| Two or More Races | 14 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Elizabeth vs Wickliffe
- A higher percentage of Black residents are in Elizabeth at 18% compared to 6% in Wickliffe.
- The percentage of White residents is higher in Wickliffe at 85% compared to 11% in Elizabeth.
- Both Elizabeth and Wickliffe have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Elizabeth at 66% compared to 2% in Wickliffe.
- More residents identify as two or more races in Elizabeth at 14% compared to 5% in Wickliffe.
- A greater percentage of American Indian residents live in Elizabeth at 1% compared to 0% in Wickliffe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elizabeth | Wickliffe |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.7% |
| Physical Health Not Good | 14.5% | 10.7% |
| Depression | 18.0% | 22.3% |
| Smoking | 17.7% | 18.1% |
| Binge Drinking | 15.0% | 19.4% |
| Obesity | 33.9% | 36.7% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Elizabeth vs Wickliffe
- More residents in Elizabeth report poor mental health at 16.8% compared to 16.7% in Wickliffe.
- Higher depression rates are seen in Wickliffe at 22.3% versus 18.0% in Elizabeth.
- Wickliffe has a higher smoking rate at 18.1% compared to 17.7% in Elizabeth.
- More residents engage in binge drinking in Wickliffe at 19.4% compared to 15.0% in Elizabeth.
- Wickliffe has higher obesity rates at 36.7% compared to 33.9% in Elizabeth.
- There is a higher percentage of disabled individuals in Wickliffe at 13.0% 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 | Elizabeth | Wickliffe |
|---|---|---|
| No Schooling | 2.6% (3,513) | 0.3% (32) |
| High School Diploma | 23.7% (31,770) | 22.8% (2,877) |
| Less than High School | 31.8% (42,757) | 8.3% (1,049) |
| Bachelor's Degree and Higher | 9.2% (12,394) | 18.5% (2,331) |
Education Levels Comparison: Elizabeth vs Wickliffe
- A higher percentage of residents in Elizabeth have no formal schooling at 2.6% compared to 0.3% in Wickliffe.
- A higher percentage of residents in Elizabeth hold a high school diploma at 23.7% compared to 22.8% in Wickliffe.
- More residents in Elizabeth have less than a high school education at 31.8% compared to 8.3% in Wickliffe.
- In Wickliffe, a larger share of residents have a bachelor's degree or higher at 18.5% 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.