Demographics details for Hackensack, NJ vs Whitehall, PA
Population Overview
Compare main population characteristics in Hackensack, NJ vs Whitehall, PA.
Data | Hackensack | Whitehall |
---|---|---|
Population | 45,633 | 14,785 |
Median Age | 40.0 years | 44.8 years |
Median Income | $79,133 | $77,752 |
Married Families | 33.0% | 45.0% |
Poverty Level | 9% | 8% |
Unemployment Rate | 5.0 | 4.5 |
Population Comparison: Hackensack vs Whitehall
- In Hackensack, the population is higher at 45,633, compared to 14,785 in Whitehall.
- The median age in Whitehall is higher at 44.8 years, compared to 40.0 years in Hackensack.
- Hackensack has a higher median income of $79,133 compared to $77,752 in Whitehall.
- In Whitehall, the percentage of married families is higher at 45.0%, compared to 33.0% in Hackensack.
- Hackensack has a higher poverty level at 9% compared to 8% in Whitehall.
- The unemployment rate in Hackensack is higher at 5.0%, compared to 4.5% in Whitehall.
Demographics
Demographics Hackensack vs Whitehall provide insight into the diversity of the communities to compare.
Demographic | Hackensack | Whitehall |
---|---|---|
Black | 20 | 4 |
White | 17 | 78 |
Asian | 13 | 14 |
Hispanic | 37 | 1 |
Two or More Races | 13 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hackensack vs Whitehall
- A higher percentage of Black residents are in Hackensack at 20% compared to 4% in Whitehall.
- The percentage of White residents is higher in Whitehall at 78% compared to 17% in Hackensack.
- In Whitehall, the Asian population stands at 14%, greater than 13% in Hackensack.
- The Hispanic community is larger in Hackensack at 37% compared to 1% in Whitehall.
- More residents identify as two or more races in Hackensack at 13% compared to 3% in Whitehall.
- The percentage of American Indian residents is the same in both Hackensack and Whitehall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hackensack | Whitehall |
---|---|---|
Mental Health Not Good | 14.2% | 15.5% |
Physical Health Not Good | 9.9% | 10.3% |
Depression | 15.7% | 22.0% |
Smoking | 13.5% | 17.0% |
Binge Drinking | 15.5% | 21.4% |
Obesity | 30.5% | 30.9% |
Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Hackensack vs Whitehall
- In Whitehall, a higher percentage report poor mental health at 15.5% compared to 14.2% in Hackensack.
- Higher depression rates are seen in Whitehall at 22.0% versus 15.7% in Hackensack.
- Whitehall has a higher smoking rate at 17.0% compared to 13.5% in Hackensack.
- More residents engage in binge drinking in Whitehall at 21.4% compared to 15.5% in Hackensack.
- Whitehall has higher obesity rates at 30.9% compared to 30.5% in Hackensack.
- There is a higher percentage of disabled individuals in Whitehall at 15.0% compared to 11.0% in Hackensack.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hackensack | Whitehall |
---|---|---|
No Schooling | 3.3% (1,520) | 2.0% (302) |
High School Diploma | 17.2% (7,861) | 18.2% (2,688) |
Less than High School | 19.0% (8,680) | 7.7% (1,141) |
Bachelor's Degree and Higher | 31.8% (14,527) | 31.1% (4,603) |
Education Levels Comparison: Hackensack vs Whitehall
- A higher percentage of residents in Hackensack have no formal schooling at 3.3% compared to 2.0% in Whitehall.
- In Whitehall, the rate of residents with high school diplomas is higher at 18.2% compared to 17.2% in Hackensack.
- More residents in Hackensack have less than a high school education at 19.0% compared to 7.7% in Whitehall.
- A higher percentage of residents in Hackensack hold a bachelor's degree or higher at 31.8% compared to 31.1% in Whitehall.
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.