Demographics details for Princeton, IL vs Wiota, IA
Population Overview
Compare main population characteristics in Princeton, IL vs Wiota, IA.
| Data | Princeton | Wiota |
|---|---|---|
| Population | 7,721 | 91 |
| Median Age | 46.5 years | 70.0 years |
| Median Income | $55,926 | $73,403 |
| Married Families | 39.0% | 71.0% |
| Poverty Level | 8% | Data is updating |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Princeton vs Wiota
- In Princeton, the population is higher at 7,721, compared to 91 in Wiota.
- The median age in Wiota is higher at 70.0 years, compared to 46.5 years in Princeton.
- Wiota has a higher median income of $73,403, compared to $55,926 in Princeton.
- In Wiota, the percentage of married families is higher at 71.0%, compared to 39.0% in Princeton.
- Princeton has a higher poverty level at 8% compared to 0% in Wiota.
- The unemployment rate in Princeton is higher at 4.0%, compared to 3.5% in Wiota.
Demographics
Demographics Princeton vs Wiota provide insight into the diversity of the communities to compare.
| Demographic | Princeton | Wiota |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 91 | 100 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Princeton vs Wiota
- The percentage of Black residents is the same in both Princeton and Wiota at 0%.
- The percentage of White residents is higher in Wiota at 100% compared to 91% in Princeton.
- The Asian population is larger in Princeton at 1% compared to 0% in Wiota.
- The Hispanic community is larger in Princeton at 4% compared to 0% in Wiota.
- More residents identify as two or more races in Princeton at 4% compared to 0% in Wiota.
- The percentage of American Indian residents is the same in both Princeton and Wiota at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Princeton | Wiota |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.3% |
| Physical Health Not Good | 10.7% | 9.9% |
| Depression | 22.4% | 18.3% |
| Smoking | 16.9% | 18.7% |
| Binge Drinking | 18.1% | 22.8% |
| Obesity | 36.4% | 41.9% |
| Disability Percentage | 16.0% | 27.0% |
Health Statistics Comparison: Princeton vs Wiota
- More residents in Princeton report poor mental health at 16.3% compared to 15.3% in Wiota.
- Depression is more prevalent in Princeton at 22.4% compared to 18.3% in Wiota.
- Wiota has a higher smoking rate at 18.7% compared to 16.9% in Princeton.
- More residents engage in binge drinking in Wiota at 22.8% compared to 18.1% in Princeton.
- Wiota has higher obesity rates at 41.9% compared to 36.4% in Princeton.
- There is a higher percentage of disabled individuals in Wiota at 27.0% 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 | Wiota |
|---|---|---|
| No Schooling | 0.3% (20) | 2.2% (2) |
| High School Diploma | 20.9% (1,617) | 35.2% (32) |
| Less than High School | 11.2% (863) | 4.4% (4) |
| Bachelor's Degree and Higher | 20.1% (1,554) | 9.9% (9) |
Education Levels Comparison: Princeton vs Wiota
- In Wiota, a larger percentage of residents lack formal schooling at 2.2% compared to 0.3% in Princeton.
- In Wiota, the rate of residents with high school diplomas is higher at 35.2% compared to 20.9% in Princeton.
- More residents in Princeton have less than a high school education at 11.2% compared to 4.4% in Wiota.
- A higher percentage of residents in Princeton hold a bachelor's degree or higher at 20.1% compared to 9.9% in Wiota.
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.