Demographics details for North mankato, MN vs Dekalb, IL
Population Overview
Compare main population characteristics in North mankato, MN vs Dekalb, IL.
| Data | North mankato | Dekalb |
|---|---|---|
| Population | 14,251 | 40,220 |
| Median Age | 37.4 years | 24.9 years |
| Median Income | $74,602 | $47,410 |
| Married Families | 38.0% | 25.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 3.2 | 6.3 |
Population Comparison: North mankato vs Dekalb
- The population in Dekalb is higher at 40,220, compared to 14,251 in North mankato.
- Residents in North mankato have a higher median age of 37.4 years compared to 24.9 years in Dekalb.
- North mankato has a higher median income of $74,602 compared to $47,410 in Dekalb.
- A higher percentage of married families is found in North mankato at 38.0% compared to 25.0% in Dekalb.
- The poverty level is higher in Dekalb at 13%, compared to 9% in North mankato.
- Dekalb has a higher unemployment rate at 6.3% compared to 3.2% in North mankato.
Demographics
Demographics North mankato vs Dekalb provide insight into the diversity of the communities to compare.
| Demographic | North mankato | Dekalb |
|---|---|---|
| Black | 2 | 15 |
| White | 85 | 54 |
| Asian | 2 | 5 |
| Hispanic | 4 | 16 |
| Two or More Races | 7 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: North mankato vs Dekalb
- In Dekalb, the percentage of Black residents is higher at 15% compared to 2% in North mankato.
- North mankato has a higher percentage of White residents at 85% compared to 54% in Dekalb.
- In Dekalb, the Asian population stands at 5%, greater than 2% in North mankato.
- Dekalb has a higher percentage of Hispanic residents at 16%, compared to 4% in North mankato.
- The percentage of residents identifying as two or more races is higher in Dekalb at 9%, compared to 7% in North mankato.
- In Dekalb, the percentage of American Indian residents is higher at 1%, compared to 0% in North mankato.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | North mankato | Dekalb |
|---|---|---|
| Mental Health Not Good | 13.5% | 16.6% |
| Physical Health Not Good | 8.0% | 11.4% |
| Depression | 23.7% | 21.2% |
| Smoking | 14.3% | 16.6% |
| Binge Drinking | 21.5% | 16.5% |
| Obesity | 33.4% | 39.0% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: North mankato vs Dekalb
- In Dekalb, a higher percentage report poor mental health at 16.6% compared to 13.5% in North mankato.
- Depression is more prevalent in North mankato at 23.7% compared to 21.2% in Dekalb.
- Dekalb has a higher smoking rate at 16.6% compared to 14.3% in North mankato.
- Binge drinking is more common in North mankato at 21.5% compared to 16.5% in Dekalb.
- Dekalb has higher obesity rates at 39.0% compared to 33.4% in North mankato.
- Disability percentages are higher in North mankato at 11.0% compared to 10.0% in Dekalb.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | North mankato | Dekalb |
|---|---|---|
| No Schooling | 0.1% (14) | 1.3% (531) |
| High School Diploma | 12.6% (1,794) | 9.4% (3,786) |
| Less than High School | 2.8% (405) | 8.3% (3,334) |
| Bachelor's Degree and Higher | 28.8% (4,103) | 19.5% (7,828) |
Education Levels Comparison: North mankato vs Dekalb
- In Dekalb, a larger percentage of residents lack formal schooling at 1.3% compared to 0.1% in North mankato.
- A higher percentage of residents in North mankato hold a high school diploma at 12.6% compared to 9.4% in Dekalb.
- The percentage of residents with less than a high school education is higher in Dekalb at 8.3%, compared to 2.8% in North mankato.
- A higher percentage of residents in North mankato hold a bachelor's degree or higher at 28.8% compared to 19.5% in Dekalb.
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.