Demographics details for Princeton, IL vs Saxton, PA
Population Overview
Compare main population characteristics in Princeton, IL vs Saxton, PA.
| Data | Princeton | Saxton |
|---|---|---|
| Population | 7,721 | 715 |
| Median Age | 46.5 years | 43.9 years |
| Median Income | $55,926 | $36,250 |
| Married Families | 39.0% | 27.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 4.0 | 4.0 |
Population Comparison: Princeton vs Saxton
- In Princeton, the population is higher at 7,721, compared to 715 in Saxton.
- Residents in Princeton have a higher median age of 46.5 years compared to 43.9 years in Saxton.
- Princeton has a higher median income of $55,926 compared to $36,250 in Saxton.
- A higher percentage of married families is found in Princeton at 39.0% compared to 27.0% in Saxton.
- The poverty level is higher in Saxton at 12%, compared to 8% in Princeton.
- The unemployment rate is the same in both Princeton and Saxton at 4.0%.
Demographics
Demographics Princeton vs Saxton provide insight into the diversity of the communities to compare.
| Demographic | Princeton | Saxton |
|---|---|---|
| Black | Data is updating | 3 |
| White | 91 | 96 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Princeton vs Saxton
- In Saxton, the percentage of Black residents is higher at 3% compared to 0% in Princeton.
- The percentage of White residents is higher in Saxton at 96% compared to 91% in Princeton.
- The Asian population is larger in Princeton at 1% compared to 0% in Saxton.
- The Hispanic community is larger in Princeton at 4% compared to 0% in Saxton.
- More residents identify as two or more races in Princeton at 4% compared to 1% in Saxton.
- The percentage of American Indian residents is the same in both Princeton and Saxton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Princeton | Saxton |
|---|---|---|
| Mental Health Not Good | 16.3% | 18.4% |
| Physical Health Not Good | 10.7% | 12.7% |
| Depression | 22.4% | 25.0% |
| Smoking | 16.9% | 21.8% |
| Binge Drinking | 18.1% | 18.4% |
| Obesity | 36.4% | 37.0% |
| Disability Percentage | 16.0% | 24.0% |
Health Statistics Comparison: Princeton vs Saxton
- In Saxton, a higher percentage report poor mental health at 18.4% compared to 16.3% in Princeton.
- Higher depression rates are seen in Saxton at 25.0% versus 22.4% in Princeton.
- Saxton has a higher smoking rate at 21.8% compared to 16.9% in Princeton.
- More residents engage in binge drinking in Saxton at 18.4% compared to 18.1% in Princeton.
- Saxton has higher obesity rates at 37.0% compared to 36.4% in Princeton.
- There is a higher percentage of disabled individuals in Saxton at 24.0% compared to 16.0% in Princeton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Princeton | Saxton |
|---|---|---|
| No Schooling | 0.3% (20) | 0.0% (Data is updating) |
| High School Diploma | 20.9% (1,617) | 31.0% (222) |
| Less than High School | 11.2% (863) | 12.3% (88) |
| Bachelor's Degree and Higher | 20.1% (1,554) | 13.3% (95) |
Education Levels Comparison: Princeton vs Saxton
- A higher percentage of residents in Princeton have no formal schooling at 0.3% compared to 0.0% in Saxton.
- In Saxton, the rate of residents with high school diplomas is higher at 31.0% compared to 20.9% in Princeton.
- The percentage of residents with less than a high school education is higher in Saxton at 12.3%, compared to 11.2% in Princeton.
- A higher percentage of residents in Princeton hold a bachelor's degree or higher at 20.1% compared to 13.3% in Saxton.
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.