Demographics details for Turtle lake, ND vs Princeton, IL
Population Overview
Compare main population characteristics in Turtle lake, ND vs Princeton, IL.
Data | Turtle lake | Princeton |
---|---|---|
Population | 538 | 7,721 |
Median Age | 42.8 years | 46.5 years |
Median Income | $58,125 | $55,926 |
Married Families | 39.0% | 39.0% |
Poverty Level | 9% | 8% |
Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Turtle lake vs Princeton
- The population in Princeton is higher at 7,721, compared to 538 in Turtle lake.
- The median age in Princeton is higher at 46.5 years, compared to 42.8 years in Turtle lake.
- Turtle lake has a higher median income of $58,125 compared to $55,926 in Princeton.
- The percentage of married families is the same in both Turtle lake and Princeton at 39.0%.
- Turtle lake has a higher poverty level at 9% compared to 8% in Princeton.
- Princeton has a higher unemployment rate at 4.0% compared to 3.2% in Turtle lake.
Demographics
Demographics Turtle lake vs Princeton provide insight into the diversity of the communities to compare.
Demographic | Turtle lake | Princeton |
---|---|---|
Black | Data is updating | Data is updating |
White | 94 | 91 |
Asian | 2 | 1 |
Hispanic | 2 | 4 |
Two or More Races | 2 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Turtle lake vs Princeton
- The percentage of Black residents is the same in both Turtle lake and Princeton at 0%.
- Turtle lake has a higher percentage of White residents at 94% compared to 91% in Princeton.
- The Asian population is larger in Turtle lake at 2% compared to 1% in Princeton.
- Princeton has a higher percentage of Hispanic residents at 4%, compared to 2% in Turtle lake.
- The percentage of residents identifying as two or more races is higher in Princeton at 4%, compared to 2% in Turtle lake.
- The percentage of American Indian residents is the same in both Turtle lake and Princeton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Turtle lake | Princeton |
---|---|---|
Mental Health Not Good | 13.9% | 16.3% |
Physical Health Not Good | 10.0% | 10.7% |
Depression | 18.5% | 22.4% |
Smoking | 18.7% | 16.9% |
Binge Drinking | 21.5% | 18.1% |
Obesity | 41.7% | 36.4% |
Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Turtle lake vs Princeton
- In Princeton, a higher percentage report poor mental health at 16.3% compared to 13.9% in Turtle lake.
- Higher depression rates are seen in Princeton at 22.4% versus 18.5% in Turtle lake.
- Smoking is more prevalent in Turtle lake at 18.7% compared to 16.9% in Princeton.
- Binge drinking is more common in Turtle lake at 21.5% compared to 18.1% in Princeton.
- Obesity rates are higher in Turtle lake at 41.7% compared to 36.4% in Princeton.
- There is a higher percentage of disabled individuals in Princeton at 16.0% compared to 15.0% in Turtle lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Turtle lake | Princeton |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (20) |
High School Diploma | 16.9% (91) | 20.9% (1,617) |
Less than High School | 5.8% (31) | 11.2% (863) |
Bachelor's Degree and Higher | 15.6% (84) | 20.1% (1,554) |
Education Levels Comparison: Turtle lake vs Princeton
- In Princeton, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Turtle lake.
- In Princeton, the rate of residents with high school diplomas is higher at 20.9% compared to 16.9% in Turtle lake.
- The percentage of residents with less than a high school education is higher in Princeton at 11.2%, compared to 5.8% in Turtle lake.
- In Princeton, a larger share of residents have a bachelor's degree or higher at 20.1% compared to 15.6% in Turtle lake.
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.