Demographics details for Princeton, IL vs Rayne, LA
Population Overview
Compare main population characteristics in Princeton, IL vs Rayne, LA.
| Data | Princeton | Rayne |
|---|---|---|
| Population | 7,721 | 7,040 |
| Median Age | 46.5 years | 35.4 years |
| Median Income | $55,926 | $34,725 |
| Married Families | 39.0% | 32.0% |
| Poverty Level | 8% | 24% |
| Unemployment Rate | 4.0 | 4.5 |
Population Comparison: Princeton vs Rayne
- In Princeton, the population is higher at 7,721, compared to 7,040 in Rayne.
- Residents in Princeton have a higher median age of 46.5 years compared to 35.4 years in Rayne.
- Princeton has a higher median income of $55,926 compared to $34,725 in Rayne.
- A higher percentage of married families is found in Princeton at 39.0% compared to 32.0% in Rayne.
- The poverty level is higher in Rayne at 24%, compared to 8% in Princeton.
- Rayne has a higher unemployment rate at 4.5% compared to 4.0% in Princeton.
Demographics
Demographics Princeton vs Rayne provide insight into the diversity of the communities to compare.
| Demographic | Princeton | Rayne |
|---|---|---|
| Black | Data is updating | 46 |
| White | 91 | 47 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 2 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Princeton vs Rayne
- In Rayne, the percentage of Black residents is higher at 46% compared to 0% in Princeton.
- Princeton has a higher percentage of White residents at 91% compared to 47% in Rayne.
- The Asian population is larger in Princeton at 1% compared to 0% in Rayne.
- The Hispanic community is larger in Princeton at 4% compared to 2% in Rayne.
- The percentage of residents identifying as two or more races is higher in Rayne at 5%, compared to 4% in Princeton.
- The percentage of American Indian residents is the same in both Princeton and Rayne at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Princeton | Rayne |
|---|---|---|
| Mental Health Not Good | 16.3% | 21.9% |
| Physical Health Not Good | 10.7% | 15.6% |
| Depression | 22.4% | 29.6% |
| Smoking | 16.9% | 26.8% |
| Binge Drinking | 18.1% | 17.4% |
| Obesity | 36.4% | 41.8% |
| Disability Percentage | 16.0% | 25.0% |
Health Statistics Comparison: Princeton vs Rayne
- In Rayne, a higher percentage report poor mental health at 21.9% compared to 16.3% in Princeton.
- Higher depression rates are seen in Rayne at 29.6% versus 22.4% in Princeton.
- Rayne has a higher smoking rate at 26.8% compared to 16.9% in Princeton.
- Binge drinking is more common in Princeton at 18.1% compared to 17.4% in Rayne.
- Rayne has higher obesity rates at 41.8% compared to 36.4% in Princeton.
- There is a higher percentage of disabled individuals in Rayne at 25.0% 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 | Rayne |
|---|---|---|
| No Schooling | 0.3% (20) | 1.6% (116) |
| High School Diploma | 20.9% (1,617) | 26.0% (1,832) |
| Less than High School | 11.2% (863) | 25.8% (1,813) |
| Bachelor's Degree and Higher | 20.1% (1,554) | 5.8% (406) |
Education Levels Comparison: Princeton vs Rayne
- In Rayne, a larger percentage of residents lack formal schooling at 1.6% compared to 0.3% in Princeton.
- In Rayne, the rate of residents with high school diplomas is higher at 26.0% compared to 20.9% in Princeton.
- The percentage of residents with less than a high school education is higher in Rayne at 25.8%, 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 5.8% in Rayne.
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.