Demographics details for Watertown, MA vs Cullom, IL
Population Overview
Compare main population characteristics in Watertown, MA vs Cullom, IL.
| Data | Watertown | Cullom |
|---|---|---|
| Population | 35,022 | 511 |
| Median Age | 38.2 years | 41.6 years |
| Median Income | $117,625 | $58,472 |
| Married Families | 42.0% | 35.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Watertown vs Cullom
- In Watertown, the population is higher at 35,022, compared to 511 in Cullom.
- The median age in Cullom is higher at 41.6 years, compared to 38.2 years in Watertown.
- Watertown has a higher median income of $117,625 compared to $58,472 in Cullom.
- A higher percentage of married families is found in Watertown at 42.0% compared to 35.0% in Cullom.
- The poverty level is higher in Cullom at 9%, compared to 5% in Watertown.
- Cullom has a higher unemployment rate at 3.5% compared to 3.4% in Watertown.
Demographics
Demographics Watertown vs Cullom provide insight into the diversity of the communities to compare.
| Demographic | Watertown | Cullom |
|---|---|---|
| Black | 4 | Data is updating |
| White | 70 | 82 |
| Asian | 12 | Data is updating |
| Hispanic | 7 | 11 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Watertown vs Cullom
- A higher percentage of Black residents are in Watertown at 4% compared to 0% in Cullom.
- The percentage of White residents is higher in Cullom at 82% compared to 70% in Watertown.
- The Asian population is larger in Watertown at 12% compared to 0% in Cullom.
- Cullom has a higher percentage of Hispanic residents at 11%, compared to 7% in Watertown.
- Both Watertown and Cullom 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 Cullom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Watertown | Cullom |
|---|---|---|
| Mental Health Not Good | 13.1% | 17.2% |
| Physical Health Not Good | 7.7% | 11.6% |
| Depression | 20.6% | 23.0% |
| Smoking | 8.6% | 18.7% |
| Binge Drinking | 19.3% | 17.9% |
| Obesity | 23.1% | 38.7% |
| Disability Percentage | 12.0% | 23.0% |
Health Statistics Comparison: Watertown vs Cullom
- In Cullom, a higher percentage report poor mental health at 17.2% compared to 13.1% in Watertown.
- Higher depression rates are seen in Cullom at 23.0% versus 20.6% in Watertown.
- Cullom has a higher smoking rate at 18.7% compared to 8.6% in Watertown.
- Binge drinking is more common in Watertown at 19.3% compared to 17.9% in Cullom.
- Cullom has higher obesity rates at 38.7% compared to 23.1% in Watertown.
- There is a higher percentage of disabled individuals in Cullom at 23.0% compared to 12.0% in Watertown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Watertown | Cullom |
|---|---|---|
| No Schooling | 0.9% (331) | 2.2% (11) |
| High School Diploma | 10.7% (3,731) | 19.0% (97) |
| Less than High School | 6.9% (2,426) | 11.4% (58) |
| Bachelor's Degree and Higher | 52.6% (18,420) | 9.4% (48) |
Education Levels Comparison: Watertown vs Cullom
- In Cullom, a larger percentage of residents lack formal schooling at 2.2% compared to 0.9% in Watertown.
- In Cullom, the rate of residents with high school diplomas is higher at 19.0% compared to 10.7% in Watertown.
- The percentage of residents with less than a high school education is higher in Cullom at 11.4%, compared to 6.9% in Watertown.
- A higher percentage of residents in Watertown hold a bachelor's degree or higher at 52.6% compared to 9.4% in Cullom.
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.