Demographics details for Prairie farm, WI vs Princeton, IL
Population Overview
Compare main population characteristics in Prairie farm, WI vs Princeton, IL.
Data | Prairie farm | Princeton |
---|---|---|
Population | 498 | 7,721 |
Median Age | 47.9 years | 46.5 years |
Median Income | $55,192 | $55,926 |
Married Families | 45.0% | 39.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Prairie farm vs Princeton
- The population in Princeton is higher at 7,721, compared to 498 in Prairie farm.
- Residents in Prairie farm have a higher median age of 47.9 years compared to 46.5 years in Princeton.
- Princeton has a higher median income of $55,926, compared to $55,192 in Prairie farm.
- A higher percentage of married families is found in Prairie farm at 45.0% compared to 39.0% in Princeton.
- Prairie farm has a higher poverty level at 10% compared to 8% in Princeton.
- Princeton has a higher unemployment rate at 4.0% compared to 3.5% in Prairie farm.
Demographics
Demographics Prairie farm vs Princeton provide insight into the diversity of the communities to compare.
Demographic | Prairie farm | Princeton |
---|---|---|
Black | Data is updating | Data is updating |
White | 96 | 91 |
Asian | Data is updating | 1 |
Hispanic | 2 | 4 |
Two or More Races | 1 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Prairie farm vs Princeton
- The percentage of Black residents is the same in both Prairie farm and Princeton at 0%.
- Prairie farm has a higher percentage of White residents at 96% compared to 91% in Princeton.
- In Princeton, the Asian population stands at 1%, greater than 0% in Prairie farm.
- Princeton has a higher percentage of Hispanic residents at 4%, compared to 2% in Prairie farm.
- The percentage of residents identifying as two or more races is higher in Princeton at 4%, compared to 1% in Prairie farm.
- A greater percentage of American Indian residents live in Prairie farm at 1% compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Prairie farm | Princeton |
---|---|---|
Mental Health Not Good | 16.0% | 16.3% |
Physical Health Not Good | 10.8% | 10.7% |
Depression | 24.2% | 22.4% |
Smoking | 18.3% | 16.9% |
Binge Drinking | 24.1% | 18.1% |
Obesity | 35.7% | 36.4% |
Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Prairie farm vs Princeton
- In Princeton, a higher percentage report poor mental health at 16.3% compared to 16.0% in Prairie farm.
- Depression is more prevalent in Prairie farm at 24.2% compared to 22.4% in Princeton.
- Smoking is more prevalent in Prairie farm at 18.3% compared to 16.9% in Princeton.
- Binge drinking is more common in Prairie farm at 24.1% compared to 18.1% in Princeton.
- Princeton has higher obesity rates at 36.4% compared to 35.7% in Prairie farm.
- There is a higher percentage of disabled individuals in Princeton at 16.0% compared to 15.0% in Prairie farm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Prairie farm | Princeton |
---|---|---|
No Schooling | 0.2% (1) | 0.3% (20) |
High School Diploma | 32.3% (161) | 20.9% (1,617) |
Less than High School | 11.6% (58) | 11.2% (863) |
Bachelor's Degree and Higher | 6.8% (34) | 20.1% (1,554) |
Education Levels Comparison: Prairie farm vs Princeton
- In Princeton, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Prairie farm.
- A higher percentage of residents in Prairie farm hold a high school diploma at 32.3% compared to 20.9% in Princeton.
- More residents in Prairie farm have less than a high school education at 11.6% compared to 11.2% in Princeton.
- In Princeton, a larger share of residents have a bachelor's degree or higher at 20.1% compared to 6.8% in Prairie farm.
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.