Demographics details for Union city, PA vs Closter, NJ
Population Overview
Compare main population characteristics in Union city, PA vs Closter, NJ.
| Data | Union city | Closter |
|---|---|---|
| Population | 2,887 | 8,514 |
| Median Age | 46.6 years | 40.4 years |
| Median Income | $41,764 | $181,652 |
| Married Families | 40.0% | 47.0% |
| Poverty Level | 12% | 2% |
| Unemployment Rate | 5.2 | 5.1 |
Population Comparison: Union city vs Closter
- The population in Closter is higher at 8,514, compared to 2,887 in Union city.
- Residents in Union city have a higher median age of 46.6 years compared to 40.4 years in Closter.
- Closter has a higher median income of $181,652, compared to $41,764 in Union city.
- In Closter, the percentage of married families is higher at 47.0%, compared to 40.0% in Union city.
- Union city has a higher poverty level at 12% compared to 2% in Closter.
- The unemployment rate in Union city is higher at 5.2%, compared to 5.1% in Closter.
Demographics
Demographics Union city vs Closter provide insight into the diversity of the communities to compare.
| Demographic | Union city | Closter |
|---|---|---|
| Black | Data is updating | 3 |
| White | 91 | 44 |
| Asian | Data is updating | 35 |
| Hispanic | 4 | 8 |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Union city vs Closter
- In Closter, the percentage of Black residents is higher at 3% compared to 0% in Union city.
- Union city has a higher percentage of White residents at 91% compared to 44% in Closter.
- In Closter, the Asian population stands at 35%, greater than 0% in Union city.
- Closter has a higher percentage of Hispanic residents at 8%, compared to 4% in Union city.
- The percentage of residents identifying as two or more races is higher in Closter at 8%, compared to 5% in Union city.
- In Closter, the percentage of American Indian residents is higher at 2%, compared to 0% in Union city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | Closter |
|---|---|---|
| Mental Health Not Good | 19.6% | 11.7% |
| Physical Health Not Good | 14.5% | 6.9% |
| Depression | 24.6% | 14.9% |
| Smoking | 25.3% | 9.4% |
| Binge Drinking | 17.8% | 16.0% |
| Obesity | 39.2% | 21.2% |
| Disability Percentage | 21.0% | 8.0% |
Health Statistics Comparison: Union city vs Closter
- More residents in Union city report poor mental health at 19.6% compared to 11.7% in Closter.
- Depression is more prevalent in Union city at 24.6% compared to 14.9% in Closter.
- Smoking is more prevalent in Union city at 25.3% compared to 9.4% in Closter.
- Binge drinking is more common in Union city at 17.8% compared to 16.0% in Closter.
- Obesity rates are higher in Union city at 39.2% compared to 21.2% in Closter.
- Disability percentages are higher in Union city at 21.0% compared to 8.0% in Closter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Union city | Closter |
|---|---|---|
| No Schooling | 0.3% (9) | 0.6% (49) |
| High School Diploma | 42.5% (1,226) | 8.7% (744) |
| Less than High School | 16.5% (476) | 5.4% (457) |
| Bachelor's Degree and Higher | 8.2% (237) | 44.4% (3,779) |
Education Levels Comparison: Union city vs Closter
- In Closter, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Union city.
- A higher percentage of residents in Union city hold a high school diploma at 42.5% compared to 8.7% in Closter.
- More residents in Union city have less than a high school education at 16.5% compared to 5.4% in Closter.
- In Closter, a larger share of residents have a bachelor's degree or higher at 44.4% compared to 8.2% in Union city.
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.