Demographics details for Zumbro falls, MN vs Pekin, IL
Population Overview
Compare main population characteristics in Zumbro falls, MN vs Pekin, IL.
| Data | Zumbro falls | Pekin |
|---|---|---|
| Population | 155 | 31,260 |
| Median Age | 36.6 years | 41.2 years |
| Median Income | $84,750 | $52,507 |
| Married Families | 46.0% | 34.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 2.5 | 6.4 |
Population Comparison: Zumbro falls vs Pekin
- The population in Pekin is higher at 31,260, compared to 155 in Zumbro falls.
- The median age in Pekin is higher at 41.2 years, compared to 36.6 years in Zumbro falls.
- Zumbro falls has a higher median income of $84,750 compared to $52,507 in Pekin.
- A higher percentage of married families is found in Zumbro falls at 46.0% compared to 34.0% in Pekin.
- The poverty level is higher in Pekin at 12%, compared to 0% in Zumbro falls.
- Pekin has a higher unemployment rate at 6.4% compared to 2.5% in Zumbro falls.
Demographics
Demographics Zumbro falls vs Pekin provide insight into the diversity of the communities to compare.
| Demographic | Zumbro falls | Pekin |
|---|---|---|
| Black | Data is updating | 3 |
| White | 99 | 89 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 3 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Zumbro falls vs Pekin
- In Pekin, the percentage of Black residents is higher at 3% compared to 0% in Zumbro falls.
- Zumbro falls has a higher percentage of White residents at 99% compared to 89% in Pekin.
- In Pekin, the Asian population stands at 1%, greater than 0% in Zumbro falls.
- Pekin has a higher percentage of Hispanic residents at 3%, compared to 0% in Zumbro falls.
- The percentage of residents identifying as two or more races is higher in Pekin at 4%, compared to 1% in Zumbro falls.
- The percentage of American Indian residents is the same in both Zumbro falls and Pekin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Zumbro falls | Pekin |
|---|---|---|
| Mental Health Not Good | 14.4% | 17.3% |
| Physical Health Not Good | 8.8% | 12.0% |
| Depression | 23.3% | 23.2% |
| Smoking | 17.2% | 19.8% |
| Binge Drinking | 21.7% | 17.3% |
| Obesity | 36.5% | 38.0% |
| Disability Percentage | 5.0% | 15.0% |
Health Statistics Comparison: Zumbro falls vs Pekin
- In Pekin, a higher percentage report poor mental health at 17.3% compared to 14.4% in Zumbro falls.
- Depression is more prevalent in Zumbro falls at 23.3% compared to 23.2% in Pekin.
- Pekin has a higher smoking rate at 19.8% compared to 17.2% in Zumbro falls.
- Binge drinking is more common in Zumbro falls at 21.7% compared to 17.3% in Pekin.
- Pekin has higher obesity rates at 38.0% compared to 36.5% in Zumbro falls.
- There is a higher percentage of disabled individuals in Pekin at 15.0% compared to 5.0% in Zumbro falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Zumbro falls | Pekin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (204) |
| High School Diploma | 17.4% (27) | 21.2% (6,641) |
| Less than High School | 1.3% (2) | 13.9% (4,351) |
| Bachelor's Degree and Higher | 21.9% (34) | 13.2% (4,126) |
Education Levels Comparison: Zumbro falls vs Pekin
- In Pekin, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Zumbro falls.
- In Pekin, the rate of residents with high school diplomas is higher at 21.2% compared to 17.4% in Zumbro falls.
- The percentage of residents with less than a high school education is higher in Pekin at 13.9%, compared to 1.3% in Zumbro falls.
- A higher percentage of residents in Zumbro falls hold a bachelor's degree or higher at 21.9% compared to 13.2% in Pekin.
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.