Demographics details for Mankato, MN vs Webb city, MO
Population Overview
Compare main population characteristics in Mankato, MN vs Webb city, MO.
Data | Mankato | Webb city |
---|---|---|
Population | 45,140 | 13,165 |
Median Age | 26.5 years | 34.2 years |
Median Income | $61,726 | $58,964 |
Married Families | 28.0% | 36.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Mankato vs Webb city
- In Mankato, the population is higher at 45,140, compared to 13,165 in Webb city.
- The median age in Webb city is higher at 34.2 years, compared to 26.5 years in Mankato.
- Mankato has a higher median income of $61,726 compared to $58,964 in Webb city.
- In Webb city, the percentage of married families is higher at 36.0%, compared to 28.0% in Mankato.
- The poverty level is higher in Webb city at 12%, compared to 10% in Mankato.
- Webb city has a higher unemployment rate at 3.5% compared to 3.4% in Mankato.
Demographics
Demographics Mankato vs Webb city provide insight into the diversity of the communities to compare.
Demographic | Mankato | Webb city |
---|---|---|
Black | 7 | 2 |
White | 81 | 87 |
Asian | 4 | 2 |
Hispanic | 5 | 2 |
Two or More Races | 3 | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: Mankato vs Webb city
- A higher percentage of Black residents are in Mankato at 7% compared to 2% in Webb city.
- The percentage of White residents is higher in Webb city at 87% compared to 81% in Mankato.
- The Asian population is larger in Mankato at 4% compared to 2% in Webb city.
- The Hispanic community is larger in Mankato at 5% compared to 2% in Webb city.
- The percentage of residents identifying as two or more races is higher in Webb city at 6%, compared to 3% in Mankato.
- In Webb city, the percentage of American Indian residents is higher at 1%, compared to 0% in Mankato.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mankato | Webb city |
---|---|---|
Mental Health Not Good | 16.0% | 19.2% |
Physical Health Not Good | 10.1% | 13.6% |
Depression | 25.0% | 26.8% |
Smoking | 18.4% | 21.8% |
Binge Drinking | 19.9% | 16.2% |
Obesity | 37.2% | 40.0% |
Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Mankato vs Webb city
- In Webb city, a higher percentage report poor mental health at 19.2% compared to 16.0% in Mankato.
- Higher depression rates are seen in Webb city at 26.8% versus 25.0% in Mankato.
- Webb city has a higher smoking rate at 21.8% compared to 18.4% in Mankato.
- Binge drinking is more common in Mankato at 19.9% compared to 16.2% in Webb city.
- Webb city has higher obesity rates at 40.0% compared to 37.2% in Mankato.
- There is a higher percentage of disabled individuals in Webb city at 16.0% 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 | Webb city |
---|---|---|
No Schooling | 0.8% (349) | 0.4% (53) |
High School Diploma | 9.3% (4,187) | 19.4% (2,556) |
Less than High School | 5.7% (2,556) | 11.6% (1,529) |
Bachelor's Degree and Higher | 19.6% (8,847) | 17.5% (2,301) |
Education Levels Comparison: Mankato vs Webb city
- A higher percentage of residents in Mankato have no formal schooling at 0.8% compared to 0.4% in Webb city.
- In Webb city, the rate of residents with high school diplomas is higher at 19.4% compared to 9.3% in Mankato.
- The percentage of residents with less than a high school education is higher in Webb city at 11.6%, 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 17.5% in Webb city.
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.