Demographics details for Princeton, IL vs Chanhassen, MN
Population Overview
Compare main population characteristics in Princeton, IL vs Chanhassen, MN.
Data | Princeton | Chanhassen |
---|---|---|
Population | 7,721 | 26,224 |
Median Age | 46.5 years | 40.6 years |
Median Income | $55,926 | $131,633 |
Married Families | 39.0% | 47.0% |
Poverty Level | 8% | 4% |
Unemployment Rate | 4.0 | 3.4 |
Population Comparison: Princeton vs Chanhassen
- The population in Chanhassen is higher at 26,224, compared to 7,721 in Princeton.
- Residents in Princeton have a higher median age of 46.5 years compared to 40.6 years in Chanhassen.
- Chanhassen has a higher median income of $131,633, compared to $55,926 in Princeton.
- In Chanhassen, the percentage of married families is higher at 47.0%, compared to 39.0% in Princeton.
- Princeton has a higher poverty level at 8% compared to 4% in Chanhassen.
- The unemployment rate in Princeton is higher at 4.0%, compared to 3.4% in Chanhassen.
Demographics
Demographics Princeton vs Chanhassen provide insight into the diversity of the communities to compare.
Demographic | Princeton | Chanhassen |
---|---|---|
Black | Data is updating | 1 |
White | 91 | 84 |
Asian | 1 | 7 |
Hispanic | 4 | 3 |
Two or More Races | 4 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Princeton vs Chanhassen
- In Chanhassen, the percentage of Black residents is higher at 1% compared to 0% in Princeton.
- Princeton has a higher percentage of White residents at 91% compared to 84% in Chanhassen.
- In Chanhassen, the Asian population stands at 7%, greater than 1% in Princeton.
- The Hispanic community is larger in Princeton at 4% compared to 3% in Chanhassen.
- The percentage of residents identifying as two or more races is higher in Chanhassen at 5%, compared to 4% in Princeton.
- The percentage of American Indian residents is the same in both Princeton and Chanhassen at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Princeton | Chanhassen |
---|---|---|
Mental Health Not Good | 16.3% | 11.8% |
Physical Health Not Good | 10.7% | 6.4% |
Depression | 22.4% | 19.8% |
Smoking | 16.9% | 10.0% |
Binge Drinking | 18.1% | 20.9% |
Obesity | 36.4% | 29.7% |
Disability Percentage | 16.0% | 5.0% |
Health Statistics Comparison: Princeton vs Chanhassen
- More residents in Princeton report poor mental health at 16.3% compared to 11.8% in Chanhassen.
- Depression is more prevalent in Princeton at 22.4% compared to 19.8% in Chanhassen.
- Smoking is more prevalent in Princeton at 16.9% compared to 10.0% in Chanhassen.
- More residents engage in binge drinking in Chanhassen at 20.9% compared to 18.1% in Princeton.
- Obesity rates are higher in Princeton at 36.4% compared to 29.7% in Chanhassen.
- Disability percentages are higher in Princeton at 16.0% compared to 5.0% in Chanhassen.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Princeton | Chanhassen |
---|---|---|
No Schooling | 0.3% (20) | 0.1% (31) |
High School Diploma | 20.9% (1,617) | 5.7% (1,502) |
Less than High School | 11.2% (863) | 1.7% (452) |
Bachelor's Degree and Higher | 20.1% (1,554) | 42.7% (11,186) |
Education Levels Comparison: Princeton vs Chanhassen
- A higher percentage of residents in Princeton have no formal schooling at 0.3% compared to 0.1% in Chanhassen.
- A higher percentage of residents in Princeton hold a high school diploma at 20.9% compared to 5.7% in Chanhassen.
- More residents in Princeton have less than a high school education at 11.2% compared to 1.7% in Chanhassen.
- In Chanhassen, a larger share of residents have a bachelor's degree or higher at 42.7% compared to 20.1% in Princeton.
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.