Demographics details for Hackensack, NJ vs Columbia, SC
Population Overview
Compare main population characteristics in Hackensack, NJ vs Columbia, SC.
| Data | Hackensack | Columbia |
|---|---|---|
| Population | 45,633 | 139,698 |
| Median Age | 40.0 years | 28.3 years |
| Median Income | $79,133 | $54,095 |
| Married Families | 33.0% | 25.0% |
| Poverty Level | 9% | 17% |
| Unemployment Rate | 5.0 | 5.8 |
Population Comparison: Hackensack vs Columbia
- The population in Columbia is higher at 139,698, compared to 45,633 in Hackensack.
- Residents in Hackensack have a higher median age of 40.0 years compared to 28.3 years in Columbia.
- Hackensack has a higher median income of $79,133 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Hackensack at 33.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 9% in Hackensack.
- Columbia has a higher unemployment rate at 5.8% compared to 5.0% in Hackensack.
Demographics
Demographics Hackensack vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Hackensack | Columbia |
|---|---|---|
| Black | 20 | 40 |
| White | 17 | 48 |
| Asian | 13 | 2 |
| Hispanic | 37 | 5 |
| Two or More Races | 13 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hackensack vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 20% in Hackensack.
- The percentage of White residents is higher in Columbia at 48% compared to 17% in Hackensack.
- The Asian population is larger in Hackensack at 13% compared to 2% in Columbia.
- The Hispanic community is larger in Hackensack at 37% compared to 5% in Columbia.
- More residents identify as two or more races in Hackensack at 13% compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Hackensack and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hackensack | Columbia |
|---|---|---|
| Mental Health Not Good | 14.2% | 18.6% |
| Physical Health Not Good | 9.9% | 13.1% |
| Depression | 15.7% | 20.8% |
| Smoking | 13.5% | 19.1% |
| Binge Drinking | 15.5% | 18.1% |
| Obesity | 30.5% | 39.0% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Hackensack vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 14.2% in Hackensack.
- Higher depression rates are seen in Columbia at 20.8% versus 15.7% in Hackensack.
- Columbia has a higher smoking rate at 19.1% compared to 13.5% in Hackensack.
- More residents engage in binge drinking in Columbia at 18.1% compared to 15.5% in Hackensack.
- Columbia has higher obesity rates at 39.0% compared to 30.5% in Hackensack.
- Disability percentages are the same in both Hackensack and Columbia at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hackensack | Columbia |
|---|---|---|
| No Schooling | 3.3% (1,520) | 0.4% (555) |
| High School Diploma | 17.2% (7,861) | 8.4% (11,712) |
| Less than High School | 19.0% (8,680) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 31.8% (14,527) | 24.7% (34,575) |
Education Levels Comparison: Hackensack vs Columbia
- A higher percentage of residents in Hackensack have no formal schooling at 3.3% compared to 0.4% in Columbia.
- A higher percentage of residents in Hackensack hold a high school diploma at 17.2% compared to 8.4% in Columbia.
- More residents in Hackensack have less than a high school education at 19.0% compared to 5.9% in Columbia.
- A higher percentage of residents in Hackensack hold a bachelor's degree or higher at 31.8% compared to 24.7% in Columbia.
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.