Demographics details for Joliet, IL vs North mankato, MN
Population Overview
Compare main population characteristics in Joliet, IL vs North mankato, MN.
Data | Joliet | North mankato |
---|---|---|
Population | 150,033 | 14,251 |
Median Age | 34.3 years | 37.4 years |
Median Income | $84,971 | $74,602 |
Married Families | 35.0% | 38.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 7.1 | 3.2 |
Population Comparison: Joliet vs North mankato
- In Joliet, the population is higher at 150,033, compared to 14,251 in North mankato.
- The median age in North mankato is higher at 37.4 years, compared to 34.3 years in Joliet.
- Joliet has a higher median income of $84,971 compared to $74,602 in North mankato.
- In North mankato, the percentage of married families is higher at 38.0%, compared to 35.0% in Joliet.
- Joliet has a higher poverty level at 12% compared to 9% in North mankato.
- The unemployment rate in Joliet is higher at 7.1%, compared to 3.2% in North mankato.
Demographics
Demographics Joliet vs North mankato provide insight into the diversity of the communities to compare.
Demographic | Joliet | North mankato |
---|---|---|
Black | 17 | 2 |
White | 36 | 85 |
Asian | 2 | 2 |
Hispanic | 34 | 4 |
Two or More Races | 10 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Joliet vs North mankato
- A higher percentage of Black residents are in Joliet at 17% compared to 2% in North mankato.
- The percentage of White residents is higher in North mankato at 85% compared to 36% in Joliet.
- Both Joliet and North mankato have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Joliet at 34% compared to 4% in North mankato.
- More residents identify as two or more races in Joliet at 10% compared to 7% in North mankato.
- A greater percentage of American Indian residents live in Joliet at 1% compared to 0% in North mankato.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Joliet | North mankato |
---|---|---|
Mental Health Not Good | 15.7% | 13.5% |
Physical Health Not Good | 11.7% | 8.0% |
Depression | 19.1% | 23.7% |
Smoking | 16.9% | 14.3% |
Binge Drinking | 16.2% | 21.5% |
Obesity | 37.4% | 33.4% |
Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Joliet vs North mankato
- More residents in Joliet report poor mental health at 15.7% compared to 13.5% in North mankato.
- Higher depression rates are seen in North mankato at 23.7% versus 19.1% in Joliet.
- Smoking is more prevalent in Joliet at 16.9% compared to 14.3% in North mankato.
- More residents engage in binge drinking in North mankato at 21.5% compared to 16.2% in Joliet.
- Obesity rates are higher in Joliet at 37.4% compared to 33.4% in North mankato.
- There is a higher percentage of disabled individuals in North mankato at 11.0% compared to 9.0% in Joliet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Joliet | North mankato |
---|---|---|
No Schooling | 1.5% (2,247) | 0.1% (14) |
High School Diploma | 14.9% (22,362) | 12.6% (1,794) |
Less than High School | 17.5% (26,199) | 2.8% (405) |
Bachelor's Degree and Higher | 15.6% (23,354) | 28.8% (4,103) |
Education Levels Comparison: Joliet vs North mankato
- A higher percentage of residents in Joliet have no formal schooling at 1.5% compared to 0.1% in North mankato.
- A higher percentage of residents in Joliet hold a high school diploma at 14.9% compared to 12.6% in North mankato.
- More residents in Joliet have less than a high school education at 17.5% compared to 2.8% in North mankato.
- In North mankato, a larger share of residents have a bachelor's degree or higher at 28.8% compared to 15.6% in Joliet.
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.