Demographics details for Crystal lake, IL vs Watertown, MA
Population Overview
Compare main population characteristics in Crystal lake, IL vs Watertown, MA.
Data | Crystal lake | Watertown |
---|---|---|
Population | 40,661 | 35,022 |
Median Age | 39.9 years | 38.2 years |
Median Income | $103,018 | $117,625 |
Married Families | 46.0% | 42.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 5.4 | 3.4 |
Population Comparison: Crystal lake vs Watertown
- In Crystal lake, the population is higher at 40,661, compared to 35,022 in Watertown.
- Residents in Crystal lake have a higher median age of 39.9 years compared to 38.2 years in Watertown.
- Watertown has a higher median income of $117,625, compared to $103,018 in Crystal lake.
- A higher percentage of married families is found in Crystal lake at 46.0% compared to 42.0% in Watertown.
- The poverty level is identical in both Crystal lake and Watertown at 5%.
- The unemployment rate in Crystal lake is higher at 5.4%, compared to 3.4% in Watertown.
Demographics
Demographics Crystal lake vs Watertown provide insight into the diversity of the communities to compare.
Demographic | Crystal lake | Watertown |
---|---|---|
Black | 1 | 4 |
White | 79 | 70 |
Asian | 4 | 12 |
Hispanic | 11 | 7 |
Two or More Races | 5 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Crystal lake vs Watertown
- In Watertown, the percentage of Black residents is higher at 4% compared to 1% in Crystal lake.
- Crystal lake has a higher percentage of White residents at 79% compared to 70% in Watertown.
- In Watertown, the Asian population stands at 12%, greater than 4% in Crystal lake.
- The Hispanic community is larger in Crystal lake at 11% compared to 7% in Watertown.
- The percentage of residents identifying as two or more races is higher in Watertown at 7%, compared to 5% in Crystal lake.
- The percentage of American Indian residents is the same in both Crystal lake and Watertown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Crystal lake | Watertown |
---|---|---|
Mental Health Not Good | 14.0% | 13.1% |
Physical Health Not Good | 8.9% | 7.7% |
Depression | 19.6% | 20.6% |
Smoking | 12.3% | 8.6% |
Binge Drinking | 18.9% | 19.3% |
Obesity | 29.5% | 23.1% |
Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Crystal lake vs Watertown
- More residents in Crystal lake report poor mental health at 14.0% compared to 13.1% in Watertown.
- Higher depression rates are seen in Watertown at 20.6% versus 19.6% in Crystal lake.
- Smoking is more prevalent in Crystal lake at 12.3% compared to 8.6% in Watertown.
- More residents engage in binge drinking in Watertown at 19.3% compared to 18.9% in Crystal lake.
- Obesity rates are higher in Crystal lake at 29.5% compared to 23.1% in Watertown.
- There is a higher percentage of disabled individuals in Watertown at 12.0% compared to 9.0% in Crystal lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Crystal lake | Watertown |
---|---|---|
No Schooling | 0.2% (95) | 0.9% (331) |
High School Diploma | 13.8% (5,614) | 10.7% (3,731) |
Less than High School | 5.8% (2,362) | 6.9% (2,426) |
Bachelor's Degree and Higher | 27.1% (11,028) | 52.6% (18,420) |
Education Levels Comparison: Crystal lake vs Watertown
- In Watertown, a larger percentage of residents lack formal schooling at 0.9% compared to 0.2% in Crystal lake.
- A higher percentage of residents in Crystal lake hold a high school diploma at 13.8% compared to 10.7% in Watertown.
- The percentage of residents with less than a high school education is higher in Watertown at 6.9%, compared to 5.8% in Crystal lake.
- In Watertown, a larger share of residents have a bachelor's degree or higher at 52.6% compared to 27.1% in Crystal lake.
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.