Demographics details for Paterson, NJ vs Milwaukee, WI
Population Overview
Compare main population characteristics in Paterson, NJ vs Milwaukee, WI.
| Data | Paterson | Milwaukee |
|---|---|---|
| Population | 156,661 | 563,305 |
| Median Age | 33.1 years | 31.8 years |
| Median Income | $52,092 | $49,733 |
| Married Families | 27.0% | 23.0% |
| Poverty Level | 18% | 18% |
| Unemployment Rate | 8.8 | 4.8 |
Population Comparison: Paterson vs Milwaukee
- The population in Milwaukee is higher at 563,305, compared to 156,661 in Paterson.
- Residents in Paterson have a higher median age of 33.1 years compared to 31.8 years in Milwaukee.
- Paterson has a higher median income of $52,092 compared to $49,733 in Milwaukee.
- A higher percentage of married families is found in Paterson at 27.0% compared to 23.0% in Milwaukee.
- The poverty level is identical in both Paterson and Milwaukee at 18%.
- The unemployment rate in Paterson is higher at 8.8%, compared to 4.8% in Milwaukee.
Demographics
Demographics Paterson vs Milwaukee provide insight into the diversity of the communities to compare.
| Demographic | Paterson | Milwaukee |
|---|---|---|
| Black | 25 | 39 |
| White | Data is updating | 24 |
| Asian | 5 | 5 |
| Hispanic | 64 | 21 |
| Two or More Races | 17 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Paterson vs Milwaukee
- In Milwaukee, the percentage of Black residents is higher at 39% compared to 25% in Paterson.
- The percentage of White residents is higher in Milwaukee at 24% compared to 0% in Paterson.
- Both Paterson and Milwaukee have the same percentage of Asian residents at 5%.
- The Hispanic community is larger in Paterson at 64% compared to 21% in Milwaukee.
- More residents identify as two or more races in Paterson at 17% compared to 10% in Milwaukee.
- In Milwaukee, the percentage of American Indian residents is higher at 1%, compared to 0% in Paterson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paterson | Milwaukee |
|---|---|---|
| Mental Health Not Good | 17.5% | 17.5% |
| Physical Health Not Good | 15.1% | 12.7% |
| Depression | 16.5% | 22.9% |
| Smoking | 17.7% | 21.0% |
| Binge Drinking | 13.9% | 21.3% |
| Obesity | 38.0% | 41.6% |
| Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Paterson vs Milwaukee
- Poor mental health levels are equal in both Paterson and Milwaukee at 17.5%.
- Higher depression rates are seen in Milwaukee at 22.9% versus 16.5% in Paterson.
- Milwaukee has a higher smoking rate at 21.0% compared to 17.7% in Paterson.
- More residents engage in binge drinking in Milwaukee at 21.3% compared to 13.9% in Paterson.
- Milwaukee has higher obesity rates at 41.6% compared to 38.0% in Paterson.
- There is a higher percentage of disabled individuals in Milwaukee at 13.0% 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 | Paterson | Milwaukee |
|---|---|---|
| No Schooling | 2.1% (3,278) | 1.3% (7,509) |
| High School Diploma | 25.1% (39,354) | 16.7% (93,798) |
| Less than High School | 26.1% (40,961) | 14.4% (81,002) |
| Bachelor's Degree and Higher | 7.9% (12,450) | 16.6% (93,378) |
Education Levels Comparison: Paterson vs Milwaukee
- A higher percentage of residents in Paterson have no formal schooling at 2.1% compared to 1.3% in Milwaukee.
- A higher percentage of residents in Paterson hold a high school diploma at 25.1% compared to 16.7% in Milwaukee.
- More residents in Paterson have less than a high school education at 26.1% compared to 14.4% in Milwaukee.
- In Milwaukee, a larger share of residents have a bachelor's degree or higher at 16.6% 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.