Demographics details for North mankato, MN vs Freeland, MI
Population Overview
Compare main population characteristics in North mankato, MN vs Freeland, MI.
| Data | North mankato | Freeland |
|---|---|---|
| Population | 14,251 | 7,357 |
| Median Age | 37.4 years | 37.4 years |
| Median Income | $74,602 | $95,478 |
| Married Families | 38.0% | 39.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: North mankato vs Freeland
- In North mankato, the population is higher at 14,251, compared to 7,357 in Freeland.
- The median age is the same in both North mankato and Freeland at 37.4 years.
- Freeland has a higher median income of $95,478, compared to $74,602 in North mankato.
- In Freeland, the percentage of married families is higher at 39.0%, compared to 38.0% in North mankato.
- North mankato has a higher poverty level at 9% compared to 4% in Freeland.
- Freeland has a higher unemployment rate at 3.5% compared to 3.2% in North mankato.
Demographics
Demographics North mankato vs Freeland provide insight into the diversity of the communities to compare.
| Demographic | North mankato | Freeland |
|---|---|---|
| Black | 2 | 9 |
| White | 85 | 76 |
| Asian | 2 | 1 |
| Hispanic | 4 | 5 |
| Two or More Races | 7 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: North mankato vs Freeland
- In Freeland, the percentage of Black residents is higher at 9% compared to 2% in North mankato.
- North mankato has a higher percentage of White residents at 85% compared to 76% in Freeland.
- The Asian population is larger in North mankato at 2% compared to 1% in Freeland.
- Freeland has a higher percentage of Hispanic residents at 5%, compared to 4% in North mankato.
- The percentage of residents identifying as two or more races is higher in Freeland at 8%, compared to 7% in North mankato.
- In Freeland, 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 | Freeland |
|---|---|---|
| Mental Health Not Good | 13.5% | 14.5% |
| Physical Health Not Good | 8.0% | 9.1% |
| Depression | 23.7% | 20.4% |
| Smoking | 14.3% | 14.2% |
| Binge Drinking | 21.5% | 20.3% |
| Obesity | 33.4% | 37.8% |
| Disability Percentage | 11.0% | 4.0% |
Health Statistics Comparison: North mankato vs Freeland
- In Freeland, a higher percentage report poor mental health at 14.5% compared to 13.5% in North mankato.
- Depression is more prevalent in North mankato at 23.7% compared to 20.4% in Freeland.
- Smoking is more prevalent in North mankato at 14.3% compared to 14.2% in Freeland.
- Binge drinking is more common in North mankato at 21.5% compared to 20.3% in Freeland.
- Freeland has higher obesity rates at 37.8% compared to 33.4% in North mankato.
- Disability percentages are higher in North mankato at 11.0% compared to 4.0% in Freeland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | North mankato | Freeland |
|---|---|---|
| No Schooling | 0.1% (14) | 0.7% (51) |
| High School Diploma | 12.6% (1,794) | 13.8% (1,014) |
| Less than High School | 2.8% (405) | 7.4% (542) |
| Bachelor's Degree and Higher | 28.8% (4,103) | 21.8% (1,605) |
Education Levels Comparison: North mankato vs Freeland
- In Freeland, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in North mankato.
- In Freeland, the rate of residents with high school diplomas is higher at 13.8% compared to 12.6% in North mankato.
- The percentage of residents with less than a high school education is higher in Freeland at 7.4%, 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 21.8% in Freeland.
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.