Demographics details for Lawrence, KS vs Hackensack, NJ
Population Overview
Compare main population characteristics in Lawrence, KS vs Hackensack, NJ.
Data | Lawrence | Hackensack |
---|---|---|
Population | 95,794 | 45,633 |
Median Age | 28.8 years | 40.0 years |
Median Income | $59,834 | $79,133 |
Married Families | 32.0% | 33.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 3.9 | 5.0 |
Population Comparison: Lawrence vs Hackensack
- In Lawrence, the population is higher at 95,794, compared to 45,633 in Hackensack.
- The median age in Hackensack is higher at 40.0 years, compared to 28.8 years in Lawrence.
- Hackensack has a higher median income of $79,133, compared to $59,834 in Lawrence.
- In Hackensack, the percentage of married families is higher at 33.0%, compared to 32.0% in Lawrence.
- Lawrence has a higher poverty level at 12% compared to 9% in Hackensack.
- Hackensack has a higher unemployment rate at 5.0% compared to 3.9% in Lawrence.
Demographics
Demographics Lawrence vs Hackensack provide insight into the diversity of the communities to compare.
Demographic | Lawrence | Hackensack |
---|---|---|
Black | 5 | 20 |
White | 71 | 17 |
Asian | 6 | 13 |
Hispanic | 7 | 37 |
Two or More Races | 9 | 13 |
American Indian | 2 | Data is updating |
Demographics Comparison: Lawrence vs Hackensack
- In Hackensack, the percentage of Black residents is higher at 20% compared to 5% in Lawrence.
- Lawrence has a higher percentage of White residents at 71% compared to 17% in Hackensack.
- In Hackensack, the Asian population stands at 13%, greater than 6% in Lawrence.
- Hackensack has a higher percentage of Hispanic residents at 37%, compared to 7% in Lawrence.
- The percentage of residents identifying as two or more races is higher in Hackensack at 13%, compared to 9% in Lawrence.
- A greater percentage of American Indian residents live in Lawrence at 2% compared to 0% in Hackensack.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lawrence | Hackensack |
---|---|---|
Mental Health Not Good | 16.5% | 14.2% |
Physical Health Not Good | 9.5% | 9.9% |
Depression | 22.3% | 15.7% |
Smoking | 14.8% | 13.5% |
Binge Drinking | 19.6% | 15.5% |
Obesity | 32.8% | 30.5% |
Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Lawrence vs Hackensack
- More residents in Lawrence report poor mental health at 16.5% compared to 14.2% in Hackensack.
- Depression is more prevalent in Lawrence at 22.3% compared to 15.7% in Hackensack.
- Smoking is more prevalent in Lawrence at 14.8% compared to 13.5% in Hackensack.
- Binge drinking is more common in Lawrence at 19.6% compared to 15.5% in Hackensack.
- Obesity rates are higher in Lawrence at 32.8% compared to 30.5% in Hackensack.
- There is a higher percentage of disabled individuals in Hackensack at 11.0% compared to 10.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lawrence | Hackensack |
---|---|---|
No Schooling | 0.5% (466) | 3.3% (1,520) |
High School Diploma | 8.2% (7,882) | 17.2% (7,861) |
Less than High School | 4.0% (3,784) | 19.0% (8,680) |
Bachelor's Degree and Higher | 31.1% (29,776) | 31.8% (14,527) |
Education Levels Comparison: Lawrence vs Hackensack
- In Hackensack, a larger percentage of residents lack formal schooling at 3.3% compared to 0.5% in Lawrence.
- In Hackensack, the rate of residents with high school diplomas is higher at 17.2% compared to 8.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Hackensack at 19.0%, compared to 4.0% in Lawrence.
- In Hackensack, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 31.1% in Lawrence.
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.