Demographics details for Wilton, CA vs Blue island, IL
Population Overview
Compare main population characteristics in Wilton, CA vs Blue island, IL.
| Data | Wilton | Blue island |
|---|---|---|
| Population | 6,663 | 23,706 |
| Median Age | 49.7 years | 33.0 years |
| Median Income | $176,875 | $63,000 |
| Married Families | 43.0% | 38.0% |
| Poverty Level | Data is updating | 17% |
| Unemployment Rate | 3.5 | 5.3 |
Population Comparison: Wilton vs Blue island
- The population in Blue island is higher at 23,706, compared to 6,663 in Wilton.
- Residents in Wilton have a higher median age of 49.7 years compared to 33.0 years in Blue island.
- Wilton has a higher median income of $176,875 compared to $63,000 in Blue island.
- A higher percentage of married families is found in Wilton at 43.0% compared to 38.0% in Blue island.
- The poverty level is higher in Blue island at 17%, compared to 0% in Wilton.
- Blue island has a higher unemployment rate at 5.3% compared to 3.5% in Wilton.
Demographics
Demographics Wilton vs Blue island provide insight into the diversity of the communities to compare.
| Demographic | Wilton | Blue island |
|---|---|---|
| Black | 1 | 60 |
| White | 57 | 20 |
| Asian | 8 | 10 |
| Hispanic | 26 | 10 |
| Two or More Races | 8 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wilton vs Blue island
- In Blue island, the percentage of Black residents is higher at 60% compared to 1% in Wilton.
- Wilton has a higher percentage of White residents at 57% compared to 20% in Blue island.
- In Blue island, the Asian population stands at 10%, greater than 8% in Wilton.
- The Hispanic community is larger in Wilton at 26% compared to 10% in Blue island.
- More residents identify as two or more races in Wilton at 8% compared to 5% in Blue island.
- The percentage of American Indian residents is the same in both Wilton and Blue island at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wilton | Blue island |
|---|---|---|
| Mental Health Not Good | 16.8% | Data is updating% |
| Physical Health Not Good | 10.6% | Data is updating% |
| Depression | 20.7% | Data is updating% |
| Smoking | 13.0% | Data is updating% |
| Binge Drinking | 17.4% | Data is updating% |
| Obesity | 31.7% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Wilton vs Blue island
- More residents in Wilton report poor mental health at 16.8% compared to 0.0% in Blue island.
- Depression is more prevalent in Wilton at 20.7% compared to 0.0% in Blue island.
- Smoking is more prevalent in Wilton at 13.0% compared to 0.0% in Blue island.
- Binge drinking is more common in Wilton at 17.4% compared to 0.0% in Blue island.
- Obesity rates are higher in Wilton at 31.7% compared to 0.0% in Blue island.
- Disability percentages are higher in Wilton at 11.0% compared to 0.0% in Blue island.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wilton | Blue island |
|---|---|---|
| No Schooling | 0.6% (40) | 0.0% (Data is updating) |
| High School Diploma | 20.4% (1,357) | 0.0% (Data is updating) |
| Less than High School | 4.4% (294) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 24.6% (1,636) | 0.0% (Data is updating) |
Education Levels Comparison: Wilton vs Blue island
- A higher percentage of residents in Wilton have no formal schooling at 0.6% compared to 0.0% in Blue island.
- A higher percentage of residents in Wilton hold a high school diploma at 20.4% compared to 0.0% in Blue island.
- More residents in Wilton have less than a high school education at 4.4% compared to 0.0% in Blue island.
- A higher percentage of residents in Wilton hold a bachelor's degree or higher at 24.6% compared to 0.0% in Blue island.
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.