Demographics details for Lu verne, IA vs Paterson, NJ
Population Overview
Compare main population characteristics in Lu verne, IA vs Paterson, NJ.
| Data | Lu verne | Paterson |
|---|---|---|
| Population | 249 | 156,661 |
| Median Age | 28.9 years | 33.1 years |
| Median Income | $54,500 | $52,092 |
| Married Families | 32.0% | 27.0% |
| Poverty Level | Data is updating | 18% |
| Unemployment Rate | 2.8 | 8.8 |
Population Comparison: Lu verne vs Paterson
- The population in Paterson is higher at 156,661, compared to 249 in Lu verne.
- The median age in Paterson is higher at 33.1 years, compared to 28.9 years in Lu verne.
- Lu verne has a higher median income of $54,500 compared to $52,092 in Paterson.
- A higher percentage of married families is found in Lu verne at 32.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 0% in Lu verne.
- Paterson has a higher unemployment rate at 8.8% compared to 2.8% in Lu verne.
Demographics
Demographics Lu verne vs Paterson provide insight into the diversity of the communities to compare.
| Demographic | Lu verne | Paterson |
|---|---|---|
| Black | 9 | 25 |
| White | 88 | Data is updating |
| Asian | Data is updating | 5 |
| Hispanic | Data is updating | 64 |
| Two or More Races | 3 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lu verne vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 9% in Lu verne.
- Lu verne has a higher percentage of White residents at 88% compared to 0% in Paterson.
- In Paterson, the Asian population stands at 5%, greater than 0% in Lu verne.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 0% in Lu verne.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 3% in Lu verne.
- The percentage of American Indian residents is the same in both Lu verne and Paterson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lu verne | Paterson |
|---|---|---|
| Mental Health Not Good | 15.5% | 17.5% |
| Physical Health Not Good | 9.7% | 15.1% |
| Depression | 18.9% | 16.5% |
| Smoking | 17.9% | 17.7% |
| Binge Drinking | 21.8% | 13.9% |
| Obesity | 38.1% | 38.0% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Lu verne vs Paterson
- In Paterson, a higher percentage report poor mental health at 17.5% compared to 15.5% in Lu verne.
- Depression is more prevalent in Lu verne at 18.9% compared to 16.5% in Paterson.
- Smoking is more prevalent in Lu verne at 17.9% compared to 17.7% in Paterson.
- Binge drinking is more common in Lu verne at 21.8% compared to 13.9% in Paterson.
- Obesity rates are higher in Lu verne at 38.1% compared to 38.0% in Paterson.
- Disability percentages are higher in Lu verne at 12.0% compared to 7.0% in Paterson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lu verne | Paterson |
|---|---|---|
| No Schooling | 0.8% (2) | 2.1% (3,278) |
| High School Diploma | 16.1% (40) | 25.1% (39,354) |
| Less than High School | 12.4% (31) | 26.1% (40,961) |
| Bachelor's Degree and Higher | 7.6% (19) | 7.9% (12,450) |
Education Levels Comparison: Lu verne vs Paterson
- In Paterson, a larger percentage of residents lack formal schooling at 2.1% compared to 0.8% in Lu verne.
- In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 16.1% in Lu verne.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 12.4% in Lu verne.
- In Paterson, a larger share of residents have a bachelor's degree or higher at 7.9% compared to 7.6% in Lu verne.
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.