Demographics details for Princeton, IL vs Forrest city, AR
Population Overview
Compare main population characteristics in Princeton, IL vs Forrest city, AR.
Data | Princeton | Forrest city |
---|---|---|
Population | 7,721 | 12,676 |
Median Age | 46.5 years | 35.2 years |
Median Income | $55,926 | $36,368 |
Married Families | 39.0% | 22.0% |
Poverty Level | 8% | 20% |
Unemployment Rate | 4.0 | 6.5 |
Population Comparison: Princeton vs Forrest city
- The population in Forrest city is higher at 12,676, compared to 7,721 in Princeton.
- Residents in Princeton have a higher median age of 46.5 years compared to 35.2 years in Forrest city.
- Princeton has a higher median income of $55,926 compared to $36,368 in Forrest city.
- A higher percentage of married families is found in Princeton at 39.0% compared to 22.0% in Forrest city.
- The poverty level is higher in Forrest city at 20%, compared to 8% in Princeton.
- Forrest city has a higher unemployment rate at 6.5% compared to 4.0% in Princeton.
Demographics
Demographics Princeton vs Forrest city provide insight into the diversity of the communities to compare.
Demographic | Princeton | Forrest city |
---|---|---|
Black | Data is updating | 73 |
White | 91 | 16 |
Asian | 1 | Data is updating |
Hispanic | 4 | 6 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | 1 |
Demographics Comparison: Princeton vs Forrest city
- In Forrest city, the percentage of Black residents is higher at 73% compared to 0% in Princeton.
- Princeton has a higher percentage of White residents at 91% compared to 16% in Forrest city.
- The Asian population is larger in Princeton at 1% compared to 0% in Forrest city.
- Forrest city has a higher percentage of Hispanic residents at 6%, compared to 4% in Princeton.
- Both Princeton and Forrest city have the same percentage of residents identifying as two or more races at 4%.
- In Forrest city, the percentage of American Indian residents is higher at 1%, compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Princeton | Forrest city |
---|---|---|
Mental Health Not Good | 16.3% | 19.7% |
Physical Health Not Good | 10.7% | 16.5% |
Depression | 22.4% | 21.2% |
Smoking | 16.9% | 26.2% |
Binge Drinking | 18.1% | 12.5% |
Obesity | 36.4% | 49.7% |
Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Princeton vs Forrest city
- In Forrest city, a higher percentage report poor mental health at 19.7% compared to 16.3% in Princeton.
- Depression is more prevalent in Princeton at 22.4% compared to 21.2% in Forrest city.
- Forrest city has a higher smoking rate at 26.2% compared to 16.9% in Princeton.
- Binge drinking is more common in Princeton at 18.1% compared to 12.5% in Forrest city.
- Forrest city has higher obesity rates at 49.7% compared to 36.4% in Princeton.
- Disability percentages are higher in Princeton at 16.0% compared to 15.0% in Forrest city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Princeton | Forrest city |
---|---|---|
No Schooling | 0.3% (20) | 0.8% (105) |
High School Diploma | 20.9% (1,617) | 21.3% (2,698) |
Less than High School | 11.2% (863) | 17.7% (2,241) |
Bachelor's Degree and Higher | 20.1% (1,554) | 8.9% (1,122) |
Education Levels Comparison: Princeton vs Forrest city
- In Forrest city, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Princeton.
- In Forrest city, the rate of residents with high school diplomas is higher at 21.3% compared to 20.9% in Princeton.
- The percentage of residents with less than a high school education is higher in Forrest city at 17.7%, 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 8.9% in Forrest city.
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.