Demographics details for Piqua, OH vs Paterson, NJ
Population Overview
Compare main population characteristics in Piqua, OH vs Paterson, NJ.
| Data | Piqua | Paterson |
|---|---|---|
| Population | 20,607 | 156,661 |
| Median Age | 37.9 years | 33.1 years |
| Median Income | $55,379 | $52,092 |
| Married Families | 35.0% | 27.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 4.5 | 8.8 |
Population Comparison: Piqua vs Paterson
- The population in Paterson is higher at 156,661, compared to 20,607 in Piqua.
- Residents in Piqua have a higher median age of 37.9 years compared to 33.1 years in Paterson.
- Piqua has a higher median income of $55,379 compared to $52,092 in Paterson.
- A higher percentage of married families is found in Piqua at 35.0% compared to 27.0% in Paterson.
- The poverty level is higher in Paterson at 18%, compared to 10% in Piqua.
- Paterson has a higher unemployment rate at 8.8% compared to 4.5% in Piqua.
Demographics
Demographics Piqua vs Paterson provide insight into the diversity of the communities to compare.
| Demographic | Piqua | Paterson |
|---|---|---|
| Black | 2 | 25 |
| White | 92 | Data is updating |
| Asian | 1 | 5 |
| Hispanic | 1 | 64 |
| Two or More Races | 4 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Piqua vs Paterson
- In Paterson, the percentage of Black residents is higher at 25% compared to 2% in Piqua.
- Piqua has a higher percentage of White residents at 92% compared to 0% in Paterson.
- In Paterson, the Asian population stands at 5%, greater than 1% in Piqua.
- Paterson has a higher percentage of Hispanic residents at 64%, compared to 1% in Piqua.
- The percentage of residents identifying as two or more races is higher in Paterson at 17%, compared to 4% in Piqua.
- The percentage of American Indian residents is the same in both Piqua and Paterson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piqua | Paterson |
|---|---|---|
| Mental Health Not Good | 18.8% | 17.5% |
| Physical Health Not Good | 13.1% | 15.1% |
| Depression | 23.9% | 16.5% |
| Smoking | 23.2% | 17.7% |
| Binge Drinking | 17.2% | 13.9% |
| Obesity | 42.0% | 38.0% |
| Disability Percentage | 14.0% | 7.0% |
Health Statistics Comparison: Piqua vs Paterson
- More residents in Piqua report poor mental health at 18.8% compared to 17.5% in Paterson.
- Depression is more prevalent in Piqua at 23.9% compared to 16.5% in Paterson.
- Smoking is more prevalent in Piqua at 23.2% compared to 17.7% in Paterson.
- Binge drinking is more common in Piqua at 17.2% compared to 13.9% in Paterson.
- Obesity rates are higher in Piqua at 42.0% compared to 38.0% in Paterson.
- Disability percentages are higher in Piqua at 14.0% 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 | Piqua | Paterson |
|---|---|---|
| No Schooling | 0.5% (109) | 2.1% (3,278) |
| High School Diploma | 24.5% (5,047) | 25.1% (39,354) |
| Less than High School | 13.5% (2,775) | 26.1% (40,961) |
| Bachelor's Degree and Higher | 8.9% (1,835) | 7.9% (12,450) |
Education Levels Comparison: Piqua vs Paterson
- In Paterson, a larger percentage of residents lack formal schooling at 2.1% compared to 0.5% in Piqua.
- In Paterson, the rate of residents with high school diplomas is higher at 25.1% compared to 24.5% in Piqua.
- The percentage of residents with less than a high school education is higher in Paterson at 26.1%, compared to 13.5% in Piqua.
- A higher percentage of residents in Piqua hold a bachelor's degree or higher at 8.9% 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.