Demographics details for Hoffman estates, IL vs Boon, MI
Population Overview
Compare main population characteristics in Hoffman estates, IL vs Boon, MI.
Data | Hoffman estates | Boon |
---|---|---|
Population | 50,682 | 56 |
Median Age | 38.1 years | 52.9 years |
Median Income | $107,428 | $90,000 |
Married Families | 48.0% | 43.0% |
Poverty Level | 4% | 5% |
Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Hoffman estates vs Boon
- In Hoffman estates, the population is higher at 50,682, compared to 56 in Boon.
- The median age in Boon is higher at 52.9 years, compared to 38.1 years in Hoffman estates.
- Hoffman estates has a higher median income of $107,428 compared to $90,000 in Boon.
- A higher percentage of married families is found in Hoffman estates at 48.0% compared to 43.0% in Boon.
- The poverty level is higher in Boon at 5%, compared to 4% in Hoffman estates.
- The unemployment rate in Hoffman estates is higher at 5.2%, compared to 4.2% in Boon.
Demographics
Demographics Hoffman estates vs Boon provide insight into the diversity of the communities to compare.
Demographic | Hoffman estates | Boon |
---|---|---|
Black | 6 | Data is updating |
White | 43 | 100 |
Asian | 25 | Data is updating |
Hispanic | 18 | Data is updating |
Two or More Races | 8 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hoffman estates vs Boon
- A higher percentage of Black residents are in Hoffman estates at 6% compared to 0% in Boon.
- The percentage of White residents is higher in Boon at 100% compared to 43% in Hoffman estates.
- The Asian population is larger in Hoffman estates at 25% compared to 0% in Boon.
- The Hispanic community is larger in Hoffman estates at 18% compared to 0% in Boon.
- More residents identify as two or more races in Hoffman estates at 8% compared to 0% in Boon.
- The percentage of American Indian residents is the same in both Hoffman estates and Boon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hoffman estates | Boon |
---|---|---|
Mental Health Not Good | 12.0% | 19.1% |
Physical Health Not Good | 8.1% | 13.1% |
Depression | 15.6% | 26.7% |
Smoking | 10.6% | 24.7% |
Binge Drinking | 17.9% | 18.4% |
Obesity | 24.9% | 38.7% |
Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Hoffman estates vs Boon
- In Boon, a higher percentage report poor mental health at 19.1% compared to 12.0% in Hoffman estates.
- Higher depression rates are seen in Boon at 26.7% versus 15.6% in Hoffman estates.
- Boon has a higher smoking rate at 24.7% compared to 10.6% in Hoffman estates.
- More residents engage in binge drinking in Boon at 18.4% compared to 17.9% in Hoffman estates.
- Boon has higher obesity rates at 38.7% compared to 24.9% in Hoffman estates.
- There is a higher percentage of disabled individuals in Boon at 11.0% compared to 8.0% in Hoffman estates.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hoffman estates | Boon |
---|---|---|
No Schooling | 1.0% (512) | 0.0% (Data is updating) |
High School Diploma | 10.9% (5,509) | 21.4% (12) |
Less than High School | 10.3% (5,235) | 10.7% (6) |
Bachelor's Degree and Higher | 34.4% (17,439) | 26.8% (15) |
Education Levels Comparison: Hoffman estates vs Boon
- A higher percentage of residents in Hoffman estates have no formal schooling at 1.0% compared to 0.0% in Boon.
- In Boon, the rate of residents with high school diplomas is higher at 21.4% compared to 10.9% in Hoffman estates.
- The percentage of residents with less than a high school education is higher in Boon at 10.7%, compared to 10.3% in Hoffman estates.
- A higher percentage of residents in Hoffman estates hold a bachelor's degree or higher at 34.4% compared to 26.8% in Boon.
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.