Demographics details for Elizabeth, NJ vs Milford, CT
Population Overview
Compare main population characteristics in Elizabeth, NJ vs Milford, CT.
| Data | Elizabeth | Milford |
|---|---|---|
| Population | 134,283 | 50,471 |
| Median Age | 35.7 years | 46.6 years |
| Median Income | $59,939 | $104,503 |
| Married Families | 30.0% | 45.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 5.9 | 4.2 |
Population Comparison: Elizabeth vs Milford
- In Elizabeth, the population is higher at 134,283, compared to 50,471 in Milford.
- The median age in Milford is higher at 46.6 years, compared to 35.7 years in Elizabeth.
- Milford has a higher median income of $104,503, compared to $59,939 in Elizabeth.
- In Milford, the percentage of married families is higher at 45.0%, compared to 30.0% in Elizabeth.
- Elizabeth has a higher poverty level at 12% compared to 5% in Milford.
- The unemployment rate in Elizabeth is higher at 5.9%, compared to 4.2% in Milford.
Demographics
Demographics Elizabeth vs Milford provide insight into the diversity of the communities to compare.
| Demographic | Elizabeth | Milford |
|---|---|---|
| Black | 18 | 2 |
| White | 11 | 79 |
| Asian | 2 | 5 |
| Hispanic | 66 | 8 |
| Two or More Races | 14 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Elizabeth vs Milford
- A higher percentage of Black residents are in Elizabeth at 18% compared to 2% in Milford.
- The percentage of White residents is higher in Milford at 79% compared to 11% in Elizabeth.
- In Milford, the Asian population stands at 5%, greater than 2% in Elizabeth.
- The Hispanic community is larger in Elizabeth at 66% compared to 8% in Milford.
- More residents identify as two or more races in Elizabeth at 14% compared to 6% in Milford.
- A greater percentage of American Indian residents live in Elizabeth at 1% compared to 0% in Milford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elizabeth | Milford |
|---|---|---|
| Mental Health Not Good | 16.8% | 13.2% |
| Physical Health Not Good | 14.5% | 7.9% |
| Depression | 18.0% | 20.5% |
| Smoking | 17.7% | 12.7% |
| Binge Drinking | 15.0% | 17.0% |
| Obesity | 33.9% | 27.5% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Elizabeth vs Milford
- More residents in Elizabeth report poor mental health at 16.8% compared to 13.2% in Milford.
- Higher depression rates are seen in Milford at 20.5% versus 18.0% in Elizabeth.
- Smoking is more prevalent in Elizabeth at 17.7% compared to 12.7% in Milford.
- More residents engage in binge drinking in Milford at 17.0% compared to 15.0% in Elizabeth.
- Obesity rates are higher in Elizabeth at 33.9% compared to 27.5% in Milford.
- Disability percentages are the same in both Elizabeth and Milford at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Elizabeth | Milford |
|---|---|---|
| No Schooling | 2.6% (3,513) | 0.7% (366) |
| High School Diploma | 23.7% (31,770) | 16.7% (8,431) |
| Less than High School | 31.8% (42,757) | 6.6% (3,307) |
| Bachelor's Degree and Higher | 9.2% (12,394) | 36.0% (18,184) |
Education Levels Comparison: Elizabeth vs Milford
- A higher percentage of residents in Elizabeth have no formal schooling at 2.6% compared to 0.7% in Milford.
- A higher percentage of residents in Elizabeth hold a high school diploma at 23.7% compared to 16.7% in Milford.
- More residents in Elizabeth have less than a high school education at 31.8% compared to 6.6% in Milford.
- In Milford, a larger share of residents have a bachelor's degree or higher at 36.0% 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.