Demographics details for Hackensack, NJ vs Cleveland, OH
Population Overview
Compare main population characteristics in Hackensack, NJ vs Cleveland, OH.
| Data | Hackensack | Cleveland |
|---|---|---|
| Population | 45,633 | 361,607 |
| Median Age | 40.0 years | 36.3 years |
| Median Income | $79,133 | $37,271 |
| Married Families | 33.0% | 20.0% |
| Poverty Level | 9% | 23% |
| Unemployment Rate | 5.0 | 5.7 |
Population Comparison: Hackensack vs Cleveland
- The population in Cleveland is higher at 361,607, compared to 45,633 in Hackensack.
- Residents in Hackensack have a higher median age of 40.0 years compared to 36.3 years in Cleveland.
- Hackensack has a higher median income of $79,133 compared to $37,271 in Cleveland.
- A higher percentage of married families is found in Hackensack at 33.0% compared to 20.0% in Cleveland.
- The poverty level is higher in Cleveland at 23%, compared to 9% in Hackensack.
- Cleveland has a higher unemployment rate at 5.7% compared to 5.0% in Hackensack.
Demographics
Demographics Hackensack vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Hackensack | Cleveland |
|---|---|---|
| Black | 20 | 48 |
| White | 17 | 28 |
| Asian | 13 | 3 |
| Hispanic | 37 | 13 |
| Two or More Races | 13 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hackensack vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 48% compared to 20% in Hackensack.
- The percentage of White residents is higher in Cleveland at 28% compared to 17% in Hackensack.
- The Asian population is larger in Hackensack at 13% compared to 3% in Cleveland.
- The Hispanic community is larger in Hackensack at 37% compared to 13% in Cleveland.
- More residents identify as two or more races in Hackensack at 13% compared to 8% in Cleveland.
- The percentage of American Indian residents is the same in both Hackensack and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hackensack | Cleveland |
|---|---|---|
| Mental Health Not Good | 14.2% | 20.2% |
| Physical Health Not Good | 9.9% | 16.6% |
| Depression | 15.7% | 24.0% |
| Smoking | 13.5% | 27.1% |
| Binge Drinking | 15.5% | 14.8% |
| Obesity | 30.5% | 42.1% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Hackensack vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 20.2% compared to 14.2% in Hackensack.
- Higher depression rates are seen in Cleveland at 24.0% versus 15.7% in Hackensack.
- Cleveland has a higher smoking rate at 27.1% compared to 13.5% in Hackensack.
- Binge drinking is more common in Hackensack at 15.5% compared to 14.8% in Cleveland.
- Cleveland has higher obesity rates at 42.1% compared to 30.5% in Hackensack.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% 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 | Cleveland |
|---|---|---|
| No Schooling | 3.3% (1,520) | 1.6% (5,667) |
| High School Diploma | 17.2% (7,861) | 19.0% (68,853) |
| Less than High School | 19.0% (8,680) | 17.5% (63,329) |
| Bachelor's Degree and Higher | 31.8% (14,527) | 14.3% (51,656) |
Education Levels Comparison: Hackensack vs Cleveland
- A higher percentage of residents in Hackensack have no formal schooling at 3.3% compared to 1.6% in Cleveland.
- In Cleveland, the rate of residents with high school diplomas is higher at 19.0% compared to 17.2% in Hackensack.
- More residents in Hackensack have less than a high school education at 19.0% compared to 17.5% in Cleveland.
- A higher percentage of residents in Hackensack hold a bachelor's degree or higher at 31.8% compared to 14.3% in Cleveland.
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.