Demographics details for Paterson, NJ vs Leonard, MO
Population Overview
Compare main population characteristics in Paterson, NJ vs Leonard, MO.
| Data | Paterson | Leonard |
|---|---|---|
| Population | 156,661 | 57 |
| Median Age | 33.1 years | 44.3 years |
| Median Income | $52,092 | $59,688 |
| Married Families | 27.0% | 51.0% |
| Poverty Level | 18% | 8% |
| Unemployment Rate | 8.8 | 3.8 |
Population Comparison: Paterson vs Leonard
- In Paterson, the population is higher at 156,661, compared to 57 in Leonard.
- The median age in Leonard is higher at 44.3 years, compared to 33.1 years in Paterson.
- Leonard has a higher median income of $59,688, compared to $52,092 in Paterson.
- In Leonard, the percentage of married families is higher at 51.0%, compared to 27.0% in Paterson.
- Paterson has a higher poverty level at 18% compared to 8% in Leonard.
- The unemployment rate in Paterson is higher at 8.8%, compared to 3.8% in Leonard.
Demographics
Demographics Paterson vs Leonard provide insight into the diversity of the communities to compare.
| Demographic | Paterson | Leonard |
|---|---|---|
| Black | 25 | Data is updating |
| White | Data is updating | 100 |
| Asian | 5 | Data is updating |
| Hispanic | 64 | Data is updating |
| Two or More Races | 17 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Paterson vs Leonard
- A higher percentage of Black residents are in Paterson at 25% compared to 0% in Leonard.
- The percentage of White residents is higher in Leonard at 100% compared to 0% in Paterson.
- The Asian population is larger in Paterson at 5% compared to 0% in Leonard.
- The Hispanic community is larger in Paterson at 64% compared to 0% in Leonard.
- More residents identify as two or more races in Paterson at 17% compared to 0% in Leonard.
- The percentage of American Indian residents is the same in both Paterson and Leonard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paterson | Leonard |
|---|---|---|
| Mental Health Not Good | 17.5% | 17.4% |
| Physical Health Not Good | 15.1% | 17.0% |
| Depression | 16.5% | 25.3% |
| Smoking | 17.7% | 22.9% |
| Binge Drinking | 13.9% | 12.9% |
| Obesity | 38.0% | 40.2% |
| Disability Percentage | 7.0% | 4.0% |
Health Statistics Comparison: Paterson vs Leonard
- More residents in Paterson report poor mental health at 17.5% compared to 17.4% in Leonard.
- Higher depression rates are seen in Leonard at 25.3% versus 16.5% in Paterson.
- Leonard has a higher smoking rate at 22.9% compared to 17.7% in Paterson.
- Binge drinking is more common in Paterson at 13.9% compared to 12.9% in Leonard.
- Leonard has higher obesity rates at 40.2% compared to 38.0% in Paterson.
- Disability percentages are higher in Paterson at 7.0% compared to 4.0% in Leonard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paterson | Leonard |
|---|---|---|
| No Schooling | 2.1% (3,278) | 3.5% (2) |
| High School Diploma | 25.1% (39,354) | 22.8% (13) |
| Less than High School | 26.1% (40,961) | 7.0% (4) |
| Bachelor's Degree and Higher | 7.9% (12,450) | 21.1% (12) |
Education Levels Comparison: Paterson vs Leonard
- In Leonard, a larger percentage of residents lack formal schooling at 3.5% compared to 2.1% in Paterson.
- A higher percentage of residents in Paterson hold a high school diploma at 25.1% compared to 22.8% in Leonard.
- More residents in Paterson have less than a high school education at 26.1% compared to 7.0% in Leonard.
- In Leonard, a larger share of residents have a bachelor's degree or higher at 21.1% compared to 7.9% in Paterson.
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.