Demographics details for Sanborn, NY vs Lombard, IL
Population Overview
Compare main population characteristics in Sanborn, NY vs Lombard, IL.
| Data | Sanborn | Lombard |
|---|---|---|
| Population | 1,499 | 43,856 |
| Median Age | 35.2 years | 37.7 years |
| Median Income | $75,109 | $95,509 |
| Married Families | 34.0% | 44.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Sanborn vs Lombard
- The population in Lombard is higher at 43,856, compared to 1,499 in Sanborn.
- The median age in Lombard is higher at 37.7 years, compared to 35.2 years in Sanborn.
- Lombard has a higher median income of $95,509, compared to $75,109 in Sanborn.
- In Lombard, the percentage of married families is higher at 44.0%, compared to 34.0% in Sanborn.
- Sanborn has a higher poverty level at 9% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 4.5% in Sanborn.
Demographics
Demographics Sanborn vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Sanborn | Lombard |
|---|---|---|
| Black | 1 | 5 |
| White | 94 | 65 |
| Asian | Data is updating | 12 |
| Hispanic | 1 | 11 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sanborn vs Lombard
- In Lombard, the percentage of Black residents is higher at 5% compared to 1% in Sanborn.
- Sanborn has a higher percentage of White residents at 94% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 0% in Sanborn.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 1% in Sanborn.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 4% in Sanborn.
- The percentage of American Indian residents is the same in both Sanborn and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sanborn | Lombard |
|---|---|---|
| Mental Health Not Good | 15.5% | 13.0% |
| Physical Health Not Good | 9.4% | 8.5% |
| Depression | 24.9% | 17.9% |
| Smoking | 17.7% | 11.8% |
| Binge Drinking | 20.0% | 16.7% |
| Obesity | 32.9% | 30.9% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Sanborn vs Lombard
- More residents in Sanborn report poor mental health at 15.5% compared to 13.0% in Lombard.
- Depression is more prevalent in Sanborn at 24.9% compared to 17.9% in Lombard.
- Smoking is more prevalent in Sanborn at 17.7% compared to 11.8% in Lombard.
- Binge drinking is more common in Sanborn at 20.0% compared to 16.7% in Lombard.
- Obesity rates are higher in Sanborn at 32.9% compared to 30.9% in Lombard.
- Disability percentages are the same in both Sanborn and Lombard at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sanborn | Lombard |
|---|---|---|
| No Schooling | 3.9% (58) | 0.4% (166) |
| High School Diploma | 19.6% (294) | 13.2% (5,778) |
| Less than High School | 16.0% (240) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 13.9% (209) | 35.6% (15,594) |
Education Levels Comparison: Sanborn vs Lombard
- A higher percentage of residents in Sanborn have no formal schooling at 3.9% compared to 0.4% in Lombard.
- A higher percentage of residents in Sanborn hold a high school diploma at 19.6% compared to 13.2% in Lombard.
- More residents in Sanborn have less than a high school education at 16.0% compared to 3.9% in Lombard.
- In Lombard, a larger share of residents have a bachelor's degree or higher at 35.6% compared to 13.9% in Sanborn.
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.