Demographics details for Montgomery, IL vs Paterson, NJ
Population Overview
Compare main population characteristics in Montgomery, IL vs Paterson, NJ.
| Data | Montgomery | Paterson |
|---|---|---|
| Population | 21,799 | 156,661 |
| Median Age | 31.7 years | 33.1 years |
| Median Income | $105,240 | $52,092 |
| Married Families | 36.0% | 27.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 3.5 | 8.8 |
Population Comparison: Montgomery vs Paterson
- The population in Paterson is higher at 156,661, compared to 21,799 in Montgomery.
- The median age in Paterson is higher at 33.1 years, compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240 compared to $52,092 in Paterson.
- A higher percentage of married families is found in Montgomery at 36.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 5% in Montgomery.
- Paterson has a higher unemployment rate at 8.8% compared to 3.5% in Montgomery.
Demographics
Demographics Montgomery vs Paterson provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Paterson |
|---|---|---|
| Black | 5 | 25 |
| White | 52 | Data is updating |
| Asian | 1 | 5 |
| Hispanic | 31 | 64 |
| Two or More Races | 11 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Montgomery vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 5% in Montgomery.
- Montgomery has a higher percentage of White residents at 52% compared to 0% in Paterson.
- In Paterson, the Asian population stands at 5%, greater than 1% in Montgomery.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 31% in Montgomery.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 11% in Montgomery.
- The percentage of American Indian residents is the same in both Montgomery and Paterson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Paterson |
|---|---|---|
| Mental Health Not Good | 14.6% | 17.5% |
| Physical Health Not Good | 10.3% | 15.1% |
| Depression | 18.8% | 16.5% |
| Smoking | 14.1% | 17.7% |
| Binge Drinking | 17.3% | 13.9% |
| Obesity | 34.4% | 38.0% |
| Disability Percentage | 4.0% | 7.0% |
Health Statistics Comparison: Montgomery vs Paterson
- In Paterson, a higher percentage report poor mental health at 17.5% compared to 14.6% in Montgomery.
- Depression is more prevalent in Montgomery at 18.8% compared to 16.5% in Paterson.
- Paterson has a higher smoking rate at 17.7% compared to 14.1% in Montgomery.
- Binge drinking is more common in Montgomery at 17.3% compared to 13.9% in Paterson.
- Paterson has higher obesity rates at 38.0% compared to 34.4% in Montgomery.
- There is a higher percentage of disabled individuals in Paterson at 7.0% compared to 4.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Paterson |
|---|---|---|
| No Schooling | 1.2% (255) | 2.1% (3,278) |
| High School Diploma | 15.6% (3,406) | 25.1% (39,354) |
| Less than High School | 8.2% (1,792) | 26.1% (40,961) |
| Bachelor's Degree and Higher | 15.5% (3,372) | 7.9% (12,450) |
Education Levels Comparison: Montgomery vs Paterson
- In Paterson, a larger percentage of residents lack formal schooling at 2.1% compared to 1.2% in Montgomery.
- In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 15.6% in Montgomery.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 8.2% in Montgomery.
- A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 15.5% 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.