Demographics details for Watertown, MA vs Lombard, IL
Population Overview
Compare main population characteristics in Watertown, MA vs Lombard, IL.
| Data | Watertown | Lombard |
|---|---|---|
| Population | 35,022 | 43,856 |
| Median Age | 38.2 years | 37.7 years |
| Median Income | $117,625 | $95,509 |
| Married Families | 42.0% | 44.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 3.4 | 5.2 |
Population Comparison: Watertown vs Lombard
- The population in Lombard is higher at 43,856, compared to 35,022 in Watertown.
- Residents in Watertown have a higher median age of 38.2 years compared to 37.7 years in Lombard.
- Watertown has a higher median income of $117,625 compared to $95,509 in Lombard.
- In Lombard, the percentage of married families is higher at 44.0%, compared to 42.0% in Watertown.
- The poverty level is identical in both Watertown and Lombard at 5%.
- Lombard has a higher unemployment rate at 5.2% compared to 3.4% in Watertown.
Demographics
Demographics Watertown vs Lombard provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Lombard |
|---|---|---|
| Black | 4 | 5 |
| White | 70 | 65 |
| Asian | 12 | 12 |
| Hispanic | 7 | 11 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Watertown vs Lombard
- In Lombard, the percentage of Black residents is higher at 5% compared to 4% in Watertown.
- Watertown has a higher percentage of White residents at 70% compared to 65% in Lombard.
- Both Watertown and Lombard have the same percentage of Asian residents at 12%.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 7% in Watertown.
- Both Watertown and Lombard have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Watertown and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Lombard |
|---|---|---|
| Mental Health Not Good | 13.1% | 13.0% |
| Physical Health Not Good | 7.7% | 8.5% |
| Depression | 20.6% | 17.9% |
| Smoking | 8.6% | 11.8% |
| Binge Drinking | 19.3% | 16.7% |
| Obesity | 23.1% | 30.9% |
| Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Watertown vs Lombard
- More residents in Watertown report poor mental health at 13.1% compared to 13.0% in Lombard.
- Depression is more prevalent in Watertown at 20.6% compared to 17.9% in Lombard.
- Lombard has a higher smoking rate at 11.8% compared to 8.6% in Watertown.
- Binge drinking is more common in Watertown at 19.3% compared to 16.7% in Lombard.
- Lombard has higher obesity rates at 30.9% compared to 23.1% in Watertown.
- Disability percentages are higher in Watertown at 12.0% compared to 9.0% in Lombard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Watertown | Lombard |
|---|---|---|
| No Schooling | 0.9% (331) | 0.4% (166) |
| High School Diploma | 10.7% (3,731) | 13.2% (5,778) |
| Less than High School | 6.9% (2,426) | 3.9% (1,716) |
| Bachelor's Degree and Higher | 52.6% (18,420) | 35.6% (15,594) |
Education Levels Comparison: Watertown vs Lombard
- A higher percentage of residents in Watertown have no formal schooling at 0.9% compared to 0.4% in Lombard.
- In Lombard, the rate of residents with high school diplomas is higher at 13.2% compared to 10.7% in Watertown.
- More residents in Watertown have less than a high school education at 6.9% compared to 3.9% in Lombard.
- A higher percentage of residents in Watertown hold a bachelor's degree or higher at 52.6% compared to 35.6% in Lombard.
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.