Demographics details for Joliet, IL vs Sugar grove, NC
Population Overview
Compare main population characteristics in Joliet, IL vs Sugar grove, NC.
Data | Joliet | Sugar grove |
---|---|---|
Population | 150,033 | 100 |
Median Age | 34.3 years | 38.0 years |
Median Income | $84,971 | $50,000 |
Married Families | 35.0% | 60.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 7.1 | 4.5 |
Population Comparison: Joliet vs Sugar grove
- In Joliet, the population is higher at 150,033, compared to 100 in Sugar grove.
- The median age in Sugar grove is higher at 38.0 years, compared to 34.3 years in Joliet.
- Joliet has a higher median income of $84,971 compared to $50,000 in Sugar grove.
- In Sugar grove, the percentage of married families is higher at 60.0%, compared to 35.0% in Joliet.
- Joliet has a higher poverty level at 12% compared to 10% in Sugar grove.
- The unemployment rate in Joliet is higher at 7.1%, compared to 4.5% in Sugar grove.
Demographics
Demographics Joliet vs Sugar grove provide insight into the diversity of the communities to compare.
Demographic | Joliet | Sugar grove |
---|---|---|
Black | 17 | Data is updating |
White | 36 | 100 |
Asian | 2 | Data is updating |
Hispanic | 34 | Data is updating |
Two or More Races | 10 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Joliet vs Sugar grove
- A higher percentage of Black residents are in Joliet at 17% compared to 0% in Sugar grove.
- The percentage of White residents is higher in Sugar grove at 100% compared to 36% in Joliet.
- The Asian population is larger in Joliet at 2% compared to 0% in Sugar grove.
- The Hispanic community is larger in Joliet at 34% compared to 0% in Sugar grove.
- More residents identify as two or more races in Joliet at 10% compared to 0% in Sugar grove.
- A greater percentage of American Indian residents live in Joliet at 1% compared to 0% in Sugar grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Joliet | Sugar grove |
---|---|---|
Mental Health Not Good | 15.7% | Data is updating% |
Physical Health Not Good | 11.7% | Data is updating% |
Depression | 19.1% | Data is updating% |
Smoking | 16.9% | Data is updating% |
Binge Drinking | 16.2% | Data is updating% |
Obesity | 37.4% | Data is updating% |
Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Joliet vs Sugar grove
- More residents in Joliet report poor mental health at 15.7% compared to 0.0% in Sugar grove.
- Depression is more prevalent in Joliet at 19.1% compared to 0.0% in Sugar grove.
- Smoking is more prevalent in Joliet at 16.9% compared to 0.0% in Sugar grove.
- Binge drinking is more common in Joliet at 16.2% compared to 0.0% in Sugar grove.
- Obesity rates are higher in Joliet at 37.4% compared to 0.0% in Sugar grove.
- Disability percentages are higher in Joliet at 9.0% compared to 0.0% in Sugar grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Joliet | Sugar grove |
---|---|---|
No Schooling | 1.5% (2,247) | 0.0% (Data is updating) |
High School Diploma | 14.9% (22,362) | 0.0% (Data is updating) |
Less than High School | 17.5% (26,199) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 15.6% (23,354) | 0.0% (Data is updating) |
Education Levels Comparison: Joliet vs Sugar grove
- A higher percentage of residents in Joliet have no formal schooling at 1.5% compared to 0.0% in Sugar grove.
- A higher percentage of residents in Joliet hold a high school diploma at 14.9% compared to 0.0% in Sugar grove.
- More residents in Joliet have less than a high school education at 17.5% compared to 0.0% in Sugar grove.
- A higher percentage of residents in Joliet hold a bachelor's degree or higher at 15.6% compared to 0.0% in Sugar grove.
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.