Demographics details for Lebanon, MO vs Paterson, NJ
Population Overview
Compare main population characteristics in Lebanon, MO vs Paterson, NJ.
| Data | Lebanon | Paterson |
|---|---|---|
| Population | 15,232 | 156,661 |
| Median Age | 35.1 years | 33.1 years |
| Median Income | $45,634 | $52,092 |
| Married Families | 33.0% | 27.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 3.5 | 8.8 |
Population Comparison: Lebanon vs Paterson
- The population in Paterson is higher at 156,661, compared to 15,232 in Lebanon.
- Residents in Lebanon have a higher median age of 35.1 years compared to 33.1 years in Paterson.
- Paterson has a higher median income of $52,092, compared to $45,634 in Lebanon.
- A higher percentage of married families is found in Lebanon at 33.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 12% in Lebanon.
- Paterson has a higher unemployment rate at 8.8% compared to 3.5% in Lebanon.
Demographics
Demographics Lebanon vs Paterson provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Paterson |
|---|---|---|
| Black | 1 | 25 |
| White | 87 | Data is updating |
| Asian | 1 | 5 |
| Hispanic | 4 | 64 |
| Two or More Races | 6 | 17 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lebanon vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 1% in Lebanon.
- Lebanon has a higher percentage of White residents at 87% compared to 0% in Paterson.
- In Paterson, the Asian population stands at 5%, greater than 1% in Lebanon.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 4% in Lebanon.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 6% in Lebanon.
- A greater percentage of American Indian residents live in Lebanon at 1% compared to 0% in Paterson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Paterson |
|---|---|---|
| Mental Health Not Good | 19.4% | 17.5% |
| Physical Health Not Good | 14.1% | 15.1% |
| Depression | 24.9% | 16.5% |
| Smoking | 23.6% | 17.7% |
| Binge Drinking | 16.5% | 13.9% |
| Obesity | 38.8% | 38.0% |
| Disability Percentage | 19.0% | 7.0% |
Health Statistics Comparison: Lebanon vs Paterson
- More residents in Lebanon report poor mental health at 19.4% compared to 17.5% in Paterson.
- Depression is more prevalent in Lebanon at 24.9% compared to 16.5% in Paterson.
- Smoking is more prevalent in Lebanon at 23.6% compared to 17.7% in Paterson.
- Binge drinking is more common in Lebanon at 16.5% compared to 13.9% in Paterson.
- Obesity rates are higher in Lebanon at 38.8% compared to 38.0% in Paterson.
- Disability percentages are higher in Lebanon at 19.0% 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 | Lebanon | Paterson |
|---|---|---|
| No Schooling | 0.6% (90) | 2.1% (3,278) |
| High School Diploma | 18.8% (2,870) | 25.1% (39,354) |
| Less than High School | 18.3% (2,795) | 26.1% (40,961) |
| Bachelor's Degree and Higher | 11.2% (1,707) | 7.9% (12,450) |
Education Levels Comparison: Lebanon vs Paterson
- In Paterson, a larger percentage of residents lack formal schooling at 2.1% compared to 0.6% in Lebanon.
- In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 18.8% in Lebanon.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 18.3% in Lebanon.
- A higher percentage of residents in Lebanon hold a bachelor's degree or higher at 11.2% 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.