Demographics details for Crystal lake, IL vs Kingston, TN
Population Overview
Compare main population characteristics in Crystal lake, IL vs Kingston, TN.
| Data | Crystal lake | Kingston |
|---|---|---|
| Population | 40,661 | 6,115 |
| Median Age | 39.9 years | 44.7 years |
| Median Income | $103,018 | $67,637 |
| Married Families | 46.0% | 37.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 5.4 | 3.4 |
Population Comparison: Crystal lake vs Kingston
- In Crystal lake, the population is higher at 40,661, compared to 6,115 in Kingston.
- The median age in Kingston is higher at 44.7 years, compared to 39.9 years in Crystal lake.
- Crystal lake has a higher median income of $103,018 compared to $67,637 in Kingston.
- A higher percentage of married families is found in Crystal lake at 46.0% compared to 37.0% in Kingston.
- The poverty level is higher in Kingston at 12%, compared to 5% in Crystal lake.
- The unemployment rate in Crystal lake is higher at 5.4%, compared to 3.4% in Kingston.
Demographics
Demographics Crystal lake vs Kingston provide insight into the diversity of the communities to compare.
| Demographic | Crystal lake | Kingston |
|---|---|---|
| Black | 1 | 4 |
| White | 79 | 91 |
| Asian | 4 | Data is updating |
| Hispanic | 11 | 2 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Crystal lake vs Kingston
- In Kingston, the percentage of Black residents is higher at 4% compared to 1% in Crystal lake.
- The percentage of White residents is higher in Kingston at 91% compared to 79% in Crystal lake.
- The Asian population is larger in Crystal lake at 4% compared to 0% in Kingston.
- The Hispanic community is larger in Crystal lake at 11% compared to 2% in Kingston.
- More residents identify as two or more races in Crystal lake at 5% compared to 3% in Kingston.
- The percentage of American Indian residents is the same in both Crystal lake and Kingston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crystal lake | Kingston |
|---|---|---|
| Mental Health Not Good | 14.0% | 17.7% |
| Physical Health Not Good | 8.9% | 11.2% |
| Depression | 19.6% | 26.6% |
| Smoking | 12.3% | 18.0% |
| Binge Drinking | 18.9% | 16.9% |
| Obesity | 29.5% | 34.5% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Crystal lake vs Kingston
- In Kingston, a higher percentage report poor mental health at 17.7% compared to 14.0% in Crystal lake.
- Higher depression rates are seen in Kingston at 26.6% versus 19.6% in Crystal lake.
- Kingston has a higher smoking rate at 18.0% compared to 12.3% in Crystal lake.
- Binge drinking is more common in Crystal lake at 18.9% compared to 16.9% in Kingston.
- Kingston has higher obesity rates at 34.5% compared to 29.5% in Crystal lake.
- There is a higher percentage of disabled individuals in Kingston at 20.0% 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 | Kingston |
|---|---|---|
| No Schooling | 0.2% (95) | 0.4% (25) |
| High School Diploma | 13.8% (5,614) | 23.4% (1,433) |
| Less than High School | 5.8% (2,362) | 10.0% (613) |
| Bachelor's Degree and Higher | 27.1% (11,028) | 16.5% (1,009) |
Education Levels Comparison: Crystal lake vs Kingston
- In Kingston, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Crystal lake.
- In Kingston, the rate of residents with high school diplomas is higher at 23.4% compared to 13.8% in Crystal lake.
- The percentage of residents with less than a high school education is higher in Kingston at 10.0%, compared to 5.8% in Crystal lake.
- A higher percentage of residents in Crystal lake hold a bachelor's degree or higher at 27.1% compared to 16.5% in Kingston.
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.