Demographics details for Freeport, MN vs Sterling, IL
Population Overview
Compare main population characteristics in Freeport, MN vs Sterling, IL.
| Data | Freeport | Sterling |
|---|---|---|
| Population | 677 | 14,566 |
| Median Age | 29.9 years | 43.0 years |
| Median Income | $91,250 | $49,007 |
| Married Families | 53.0% | 32.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.5 | 4.2 |
Population Comparison: Freeport vs Sterling
- The population in Sterling is higher at 14,566, compared to 677 in Freeport.
- The median age in Sterling is higher at 43.0 years, compared to 29.9 years in Freeport.
- Freeport has a higher median income of $91,250 compared to $49,007 in Sterling.
- A higher percentage of married families is found in Freeport at 53.0% compared to 32.0% in Sterling.
- The poverty level is higher in Sterling at 12%, compared to 5% in Freeport.
- Sterling has a higher unemployment rate at 4.2% compared to 2.5% in Freeport.
Demographics
Demographics Freeport vs Sterling provide insight into the diversity of the communities to compare.
| Demographic | Freeport | Sterling |
|---|---|---|
| Black | 2 | 2 |
| White | 82 | 56 |
| Asian | Data is updating | 2 |
| Hispanic | 12 | 27 |
| Two or More Races | 4 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Freeport vs Sterling
- The percentage of Black residents is the same in both Freeport and Sterling at 2%.
- Freeport has a higher percentage of White residents at 82% compared to 56% in Sterling.
- In Sterling, the Asian population stands at 2%, greater than 0% in Freeport.
- Sterling has a higher percentage of Hispanic residents at 27%, compared to 12% in Freeport.
- The percentage of residents identifying as two or more races is higher in Sterling at 12%, compared to 4% in Freeport.
- In Sterling, the percentage of American Indian residents is higher at 1%, compared to 0% in Freeport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Freeport | Sterling |
|---|---|---|
| Mental Health Not Good | 15.0% | 16.7% |
| Physical Health Not Good | 9.3% | 12.2% |
| Depression | 23.7% | 22.2% |
| Smoking | 17.2% | 18.6% |
| Binge Drinking | 23.3% | 17.4% |
| Obesity | 39.9% | 39.5% |
| Disability Percentage | 6.0% | 17.0% |
Health Statistics Comparison: Freeport vs Sterling
- In Sterling, a higher percentage report poor mental health at 16.7% compared to 15.0% in Freeport.
- Depression is more prevalent in Freeport at 23.7% compared to 22.2% in Sterling.
- Sterling has a higher smoking rate at 18.6% compared to 17.2% in Freeport.
- Binge drinking is more common in Freeport at 23.3% compared to 17.4% in Sterling.
- Obesity rates are higher in Freeport at 39.9% compared to 39.5% in Sterling.
- There is a higher percentage of disabled individuals in Sterling at 17.0% compared to 6.0% in Freeport.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Freeport | Sterling |
|---|---|---|
| No Schooling | 0.3% (2) | 1.1% (164) |
| High School Diploma | 19.9% (135) | 24.1% (3,511) |
| Less than High School | 9.2% (62) | 13.8% (2,012) |
| Bachelor's Degree and Higher | 17.4% (118) | 11.8% (1,713) |
Education Levels Comparison: Freeport vs Sterling
- In Sterling, a larger percentage of residents lack formal schooling at 1.1% compared to 0.3% in Freeport.
- In Sterling, the rate of residents with high school diplomas is higher at 24.1% compared to 19.9% in Freeport.
- The percentage of residents with less than a high school education is higher in Sterling at 13.8%, compared to 9.2% in Freeport.
- A higher percentage of residents in Freeport hold a bachelor's degree or higher at 17.4% compared to 11.8% in Sterling.
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.