Demographics details for Wauconda, IL vs Ormond beach, FL
Population Overview
Compare main population characteristics in Wauconda, IL vs Ormond beach, FL.
Data | Wauconda | Ormond beach |
---|---|---|
Population | 13,932 | 44,052 |
Median Age | 36.8 years | 51.9 years |
Median Income | $108,229 | $65,238 |
Married Families | 43.0% | 42.0% |
Poverty Level | 8% | 9% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Wauconda vs Ormond beach
- The population in Ormond beach is higher at 44,052, compared to 13,932 in Wauconda.
- The median age in Ormond beach is higher at 51.9 years, compared to 36.8 years in Wauconda.
- Wauconda has a higher median income of $108,229 compared to $65,238 in Ormond beach.
- A higher percentage of married families is found in Wauconda at 43.0% compared to 42.0% in Ormond beach.
- The poverty level is higher in Ormond beach at 9%, compared to 8% in Wauconda.
- The unemployment rate is the same in both Wauconda and Ormond beach at 3.5%.
Demographics
Demographics Wauconda vs Ormond beach provide insight into the diversity of the communities to compare.
Demographic | Wauconda | Ormond beach |
---|---|---|
Black | 1 | 6 |
White | 66 | 80 |
Asian | 6 | 3 |
Hispanic | 18 | 7 |
Two or More Races | 9 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Wauconda vs Ormond beach
- In Ormond beach, the percentage of Black residents is higher at 6% compared to 1% in Wauconda.
- The percentage of White residents is higher in Ormond beach at 80% compared to 66% in Wauconda.
- The Asian population is larger in Wauconda at 6% compared to 3% in Ormond beach.
- The Hispanic community is larger in Wauconda at 18% compared to 7% in Ormond beach.
- More residents identify as two or more races in Wauconda at 9% compared to 4% in Ormond beach.
- The percentage of American Indian residents is the same in both Wauconda and Ormond beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wauconda | Ormond beach |
---|---|---|
Mental Health Not Good | 14.2% | 16.1% |
Physical Health Not Good | 9.2% | 10.1% |
Depression | 18.8% | 21.1% |
Smoking | 12.7% | 19.2% |
Binge Drinking | 18.8% | 18.8% |
Obesity | 31.0% | 30.8% |
Disability Percentage | 8.0% | 15.0% |
Health Statistics Comparison: Wauconda vs Ormond beach
- In Ormond beach, a higher percentage report poor mental health at 16.1% compared to 14.2% in Wauconda.
- Higher depression rates are seen in Ormond beach at 21.1% versus 18.8% in Wauconda.
- Ormond beach has a higher smoking rate at 19.2% compared to 12.7% in Wauconda.
- Binge drinking rates are similar in both Wauconda and Ormond beach at 18.8%.
- Obesity rates are higher in Wauconda at 31.0% compared to 30.8% in Ormond beach.
- There is a higher percentage of disabled individuals in Ormond beach at 15.0% compared to 8.0% in Wauconda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wauconda | Ormond beach |
---|---|---|
No Schooling | 1.4% (202) | 0.4% (173) |
High School Diploma | 10.5% (1,456) | 16.1% (7,098) |
Less than High School | 10.2% (1,425) | 8.9% (3,901) |
Bachelor's Degree and Higher | 26.0% (3,623) | 26.5% (11,653) |
Education Levels Comparison: Wauconda vs Ormond beach
- A higher percentage of residents in Wauconda have no formal schooling at 1.4% compared to 0.4% in Ormond beach.
- In Ormond beach, the rate of residents with high school diplomas is higher at 16.1% compared to 10.5% in Wauconda.
- More residents in Wauconda have less than a high school education at 10.2% compared to 8.9% in Ormond beach.
- In Ormond beach, a larger share of residents have a bachelor's degree or higher at 26.5% compared to 26.0% in Wauconda.
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.