Demographics details for New london, CT vs Crystal lake, IL
Population Overview
Compare main population characteristics in New london, CT vs Crystal lake, IL.
Data | New london | Crystal lake |
---|---|---|
Population | 27,980 | 40,661 |
Median Age | 35.5 years | 39.9 years |
Median Income | $56,237 | $103,018 |
Married Families | 24.0% | 46.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 3.6 | 5.4 |
Population Comparison: New london vs Crystal lake
- The population in Crystal lake is higher at 40,661, compared to 27,980 in New london.
- The median age in Crystal lake is higher at 39.9 years, compared to 35.5 years in New london.
- Crystal lake has a higher median income of $103,018, compared to $56,237 in New london.
- In Crystal lake, the percentage of married families is higher at 46.0%, compared to 24.0% in New london.
- New london has a higher poverty level at 12% compared to 5% in Crystal lake.
- Crystal lake has a higher unemployment rate at 5.4% compared to 3.6% in New london.
Demographics
Demographics New london vs Crystal lake provide insight into the diversity of the communities to compare.
Demographic | New london | Crystal lake |
---|---|---|
Black | 17 | 1 |
White | 41 | 79 |
Asian | 2 | 4 |
Hispanic | 29 | 11 |
Two or More Races | 11 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: New london vs Crystal lake
- A higher percentage of Black residents are in New london at 17% compared to 1% in Crystal lake.
- The percentage of White residents is higher in Crystal lake at 79% compared to 41% in New london.
- In Crystal lake, the Asian population stands at 4%, greater than 2% in New london.
- The Hispanic community is larger in New london at 29% compared to 11% in Crystal lake.
- More residents identify as two or more races in New london at 11% compared to 5% in Crystal lake.
- The percentage of American Indian residents is the same in both New london and Crystal lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | New london | Crystal lake |
---|---|---|
Mental Health Not Good | 17.9% | 14.0% |
Physical Health Not Good | 12.5% | 8.9% |
Depression | 23.3% | 19.6% |
Smoking | 19.5% | 12.3% |
Binge Drinking | 15.2% | 18.9% |
Obesity | 37.1% | 29.5% |
Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: New london vs Crystal lake
- More residents in New london report poor mental health at 17.9% compared to 14.0% in Crystal lake.
- Depression is more prevalent in New london at 23.3% compared to 19.6% in Crystal lake.
- Smoking is more prevalent in New london at 19.5% compared to 12.3% in Crystal lake.
- More residents engage in binge drinking in Crystal lake at 18.9% compared to 15.2% in New london.
- Obesity rates are higher in New london at 37.1% compared to 29.5% in Crystal lake.
- Disability percentages are higher in New london at 14.0% 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 | New london | Crystal lake |
---|---|---|
No Schooling | 1.4% (399) | 0.2% (95) |
High School Diploma | 16.0% (4,487) | 13.8% (5,614) |
Less than High School | 13.7% (3,830) | 5.8% (2,362) |
Bachelor's Degree and Higher | 16.9% (4,738) | 27.1% (11,028) |
Education Levels Comparison: New london vs Crystal lake
- A higher percentage of residents in New london have no formal schooling at 1.4% compared to 0.2% in Crystal lake.
- A higher percentage of residents in New london hold a high school diploma at 16.0% compared to 13.8% in Crystal lake.
- More residents in New london have less than a high school education at 13.7% compared to 5.8% in Crystal lake.
- In Crystal lake, a larger share of residents have a bachelor's degree or higher at 27.1% compared to 16.9% in New london.
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.