Demographics details for Wauconda, IL vs Glen arm, MD
Population Overview
Compare main population characteristics in Wauconda, IL vs Glen arm, MD.
Data | Wauconda | Glen arm |
---|---|---|
Population | 13,932 | 1,952 |
Median Age | 36.8 years | 42.0 years |
Median Income | $108,229 | $114,000 |
Married Families | 43.0% | 500.0% |
Poverty Level | 8% | 2% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Wauconda vs Glen arm
- In Wauconda, the population is higher at 13,932, compared to 1,952 in Glen arm.
- The median age in Glen arm is higher at 42.0 years, compared to 36.8 years in Wauconda.
- Glen arm has a higher median income of $114,000, compared to $108,229 in Wauconda.
- In Glen arm, the percentage of married families is higher at 500.0%, compared to 43.0% in Wauconda.
- Wauconda has a higher poverty level at 8% compared to 2% in Glen arm.
- The unemployment rate is the same in both Wauconda and Glen arm at 3.5%.
Demographics
Demographics Wauconda vs Glen arm provide insight into the diversity of the communities to compare.
Demographic | Wauconda | Glen arm |
---|---|---|
Black | 1 | 10 |
White | 66 | 80 |
Asian | 6 | 5 |
Hispanic | 18 | 3 |
Two or More Races | 9 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wauconda vs Glen arm
- In Glen arm, the percentage of Black residents is higher at 10% compared to 1% in Wauconda.
- The percentage of White residents is higher in Glen arm at 80% compared to 66% in Wauconda.
- The Asian population is larger in Wauconda at 6% compared to 5% in Glen arm.
- The Hispanic community is larger in Wauconda at 18% compared to 3% in Glen arm.
- More residents identify as two or more races in Wauconda at 9% compared to 2% in Glen arm.
- The percentage of American Indian residents is the same in both Wauconda and Glen arm at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wauconda | Glen arm |
---|---|---|
Mental Health Not Good | 14.2% | Data is updating% |
Physical Health Not Good | 9.2% | Data is updating% |
Depression | 18.8% | Data is updating% |
Smoking | 12.7% | Data is updating% |
Binge Drinking | 18.8% | Data is updating% |
Obesity | 31.0% | Data is updating% |
Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Wauconda vs Glen arm
- More residents in Wauconda report poor mental health at 14.2% compared to 0.0% in Glen arm.
- Depression is more prevalent in Wauconda at 18.8% compared to 0.0% in Glen arm.
- Smoking is more prevalent in Wauconda at 12.7% compared to 0.0% in Glen arm.
- Binge drinking is more common in Wauconda at 18.8% compared to 0.0% in Glen arm.
- Obesity rates are higher in Wauconda at 31.0% compared to 0.0% in Glen arm.
- Disability percentages are higher in Wauconda at 8.0% compared to 0.0% in Glen arm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wauconda | Glen arm |
---|---|---|
No Schooling | 1.4% (202) | 0.0% (Data is updating) |
High School Diploma | 10.5% (1,456) | 0.0% (Data is updating) |
Less than High School | 10.2% (1,425) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 26.0% (3,623) | 0.0% (Data is updating) |
Education Levels Comparison: Wauconda vs Glen arm
- A higher percentage of residents in Wauconda have no formal schooling at 1.4% compared to 0.0% in Glen arm.
- A higher percentage of residents in Wauconda hold a high school diploma at 10.5% compared to 0.0% in Glen arm.
- More residents in Wauconda have less than a high school education at 10.2% compared to 0.0% in Glen arm.
- A higher percentage of residents in Wauconda hold a bachelor's degree or higher at 26.0% compared to 0.0% in Glen arm.
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.