Demographics details for Paupack, PA vs Chester, IL
Population Overview
Compare main population characteristics in Paupack, PA vs Chester, IL.
| Data | Paupack | Chester |
|---|---|---|
| Population | 1,000 | 6,782 |
| Median Age | 42.0 years | 43.2 years |
| Median Income | $60,000 | $68,826 |
| Married Families | 300.0% | 29.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Paupack vs Chester
- The population in Chester is higher at 6,782, compared to 1,000 in Paupack.
- The median age in Chester is higher at 43.2 years, compared to 42.0 years in Paupack.
- Chester has a higher median income of $68,826, compared to $60,000 in Paupack.
- A higher percentage of married families is found in Paupack at 300.0% compared to 29.0% in Chester.
- The poverty level is higher in Chester at 10%, compared to 8% in Paupack.
- Chester has a higher unemployment rate at 4.5% compared to 4.0% in Paupack.
Demographics
Demographics Paupack vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Paupack | Chester |
|---|---|---|
| Black | 2 | 27 |
| White | 90 | 66 |
| Asian | 5 | Data is updating |
| Hispanic | 3 | 5 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Paupack vs Chester
- In Chester, the percentage of Black residents is higher at 27% compared to 2% in Paupack.
- Paupack has a higher percentage of White residents at 90% compared to 66% in Chester.
- The Asian population is larger in Paupack at 5% compared to 0% in Chester.
- Chester has a higher percentage of Hispanic residents at 5%, compared to 3% in Paupack.
- The percentage of residents identifying as two or more races is higher in Chester at 2%, compared to 0% in Paupack.
- The percentage of American Indian residents is the same in both Paupack and Chester at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paupack | Chester |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.3% |
| Physical Health Not Good | Data is updating% | 13.1% |
| Depression | Data is updating% | 18.6% |
| Smoking | Data is updating% | 22.6% |
| Binge Drinking | Data is updating% | 17.6% |
| Obesity | Data is updating% | 40.8% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Paupack vs Chester
- In Chester, a higher percentage report poor mental health at 16.3% compared to 0.0% in Paupack.
- Higher depression rates are seen in Chester at 18.6% versus 0.0% in Paupack.
- Chester has a higher smoking rate at 22.6% compared to 0.0% in Paupack.
- More residents engage in binge drinking in Chester at 17.6% compared to 0.0% in Paupack.
- Chester has higher obesity rates at 40.8% compared to 0.0% in Paupack.
- There is a higher percentage of disabled individuals in Chester at 15.0% compared to 0.0% in Paupack.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paupack | Chester |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.4% (97) |
| High School Diploma | 0.0% (Data is updating) | 23.9% (1,620) |
| Less than High School | 0.0% (Data is updating) | 35.1% (2,380) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 6.6% (447) |
Education Levels Comparison: Paupack vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Paupack.
- In Chester, the rate of residents with high school diplomas is higher at 23.9% compared to 0.0% in Paupack.
- The percentage of residents with less than a high school education is higher in Chester at 35.1%, compared to 0.0% in Paupack.
- In Chester, a larger share of residents have a bachelor's degree or higher at 6.6% compared to 0.0% in Paupack.
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.