Demographics details for Mankato, MN vs Mount pocono, PA
Population Overview
Compare main population characteristics in Mankato, MN vs Mount pocono, PA.
| Data | Mankato | Mount pocono |
|---|---|---|
| Population | 45,140 | 3,071 |
| Median Age | 26.5 years | 38.5 years |
| Median Income | $61,726 | $81,127 |
| Married Families | 28.0% | 30.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.4 | 4.8 |
Population Comparison: Mankato vs Mount pocono
- In Mankato, the population is higher at 45,140, compared to 3,071 in Mount pocono.
- The median age in Mount pocono is higher at 38.5 years, compared to 26.5 years in Mankato.
- Mount pocono has a higher median income of $81,127, compared to $61,726 in Mankato.
- In Mount pocono, the percentage of married families is higher at 30.0%, compared to 28.0% in Mankato.
- The poverty level is identical in both Mankato and Mount pocono at 10%.
- Mount pocono has a higher unemployment rate at 4.8% compared to 3.4% in Mankato.
Demographics
Demographics Mankato vs Mount pocono provide insight into the diversity of the communities to compare.
| Demographic | Mankato | Mount pocono |
|---|---|---|
| Black | 7 | 16 |
| White | 81 | 41 |
| Asian | 4 | 6 |
| Hispanic | 5 | 33 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mankato vs Mount pocono
- In Mount pocono, the percentage of Black residents is higher at 16% compared to 7% in Mankato.
- Mankato has a higher percentage of White residents at 81% compared to 41% in Mount pocono.
- In Mount pocono, the Asian population stands at 6%, greater than 4% in Mankato.
- Mount pocono has a higher percentage of Hispanic residents at 33%, compared to 5% in Mankato.
- The percentage of residents identifying as two or more races is higher in Mount pocono at 4%, compared to 3% in Mankato.
- The percentage of American Indian residents is the same in both Mankato and Mount pocono at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mankato | Mount pocono |
|---|---|---|
| Mental Health Not Good | 16.0% | 16.1% |
| Physical Health Not Good | 10.1% | 11.8% |
| Depression | 25.0% | 20.1% |
| Smoking | 18.4% | 18.1% |
| Binge Drinking | 19.9% | 16.1% |
| Obesity | 37.2% | 34.3% |
| Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Mankato vs Mount pocono
- In Mount pocono, a higher percentage report poor mental health at 16.1% compared to 16.0% in Mankato.
- Depression is more prevalent in Mankato at 25.0% compared to 20.1% in Mount pocono.
- Smoking is more prevalent in Mankato at 18.4% compared to 18.1% in Mount pocono.
- Binge drinking is more common in Mankato at 19.9% compared to 16.1% in Mount pocono.
- Obesity rates are higher in Mankato at 37.2% compared to 34.3% in Mount pocono.
- There is a higher percentage of disabled individuals in Mount pocono at 13.0% compared to 10.0% in Mankato.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mankato | Mount pocono |
|---|---|---|
| No Schooling | 0.8% (349) | 3.2% (98) |
| High School Diploma | 9.3% (4,187) | 27.4% (842) |
| Less than High School | 5.7% (2,556) | 18.1% (555) |
| Bachelor's Degree and Higher | 19.6% (8,847) | 15.9% (488) |
Education Levels Comparison: Mankato vs Mount pocono
- In Mount pocono, a larger percentage of residents lack formal schooling at 3.2% compared to 0.8% in Mankato.
- In Mount pocono, the rate of residents with high school diplomas is higher at 27.4% compared to 9.3% in Mankato.
- The percentage of residents with less than a high school education is higher in Mount pocono at 18.1%, compared to 5.7% in Mankato.
- A higher percentage of residents in Mankato hold a bachelor's degree or higher at 19.6% compared to 15.9% in Mount pocono.
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.