Demographics details for Tea, SD vs Crystal lake, IL
Population Overview
Compare main population characteristics in Tea, SD vs Crystal lake, IL.
| Data | Tea | Crystal lake |
|---|---|---|
| Population | 6,918 | 40,661 |
| Median Age | 30.2 years | 39.9 years |
| Median Income | $99,153 | $103,018 |
| Married Families | 39.0% | 46.0% |
| Poverty Level | 6% | 5% |
| Unemployment Rate | 2.5 | 5.4 |
Population Comparison: Tea vs Crystal lake
- The population in Crystal lake is higher at 40,661, compared to 6,918 in Tea.
- The median age in Crystal lake is higher at 39.9 years, compared to 30.2 years in Tea.
- Crystal lake has a higher median income of $103,018, compared to $99,153 in Tea.
- In Crystal lake, the percentage of married families is higher at 46.0%, compared to 39.0% in Tea.
- Tea has a higher poverty level at 6% compared to 5% in Crystal lake.
- Crystal lake has a higher unemployment rate at 5.4% compared to 2.5% in Tea.
Demographics
Demographics Tea vs Crystal lake provide insight into the diversity of the communities to compare.
| Demographic | Tea | Crystal lake |
|---|---|---|
| Black | 2 | 1 |
| White | 95 | 79 |
| Asian | 1 | 4 |
| Hispanic | Data is updating | 11 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tea vs Crystal lake
- A higher percentage of Black residents are in Tea at 2% compared to 1% in Crystal lake.
- Tea has a higher percentage of White residents at 95% compared to 79% in Crystal lake.
- In Crystal lake, the Asian population stands at 4%, greater than 1% in Tea.
- Crystal lake has a higher percentage of Hispanic residents at 11%, compared to 0% in Tea.
- The percentage of residents identifying as two or more races is higher in Crystal lake at 5%, compared to 2% in Tea.
- The percentage of American Indian residents is the same in both Tea and Crystal lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tea | Crystal lake |
|---|---|---|
| Mental Health Not Good | 11.3% | 14.0% |
| Physical Health Not Good | 7.7% | 8.9% |
| Depression | 16.6% | 19.6% |
| Smoking | 12.6% | 12.3% |
| Binge Drinking | 21.6% | 18.9% |
| Obesity | 34.5% | 29.5% |
| Disability Percentage | 4.0% | 9.0% |
Health Statistics Comparison: Tea vs Crystal lake
- In Crystal lake, a higher percentage report poor mental health at 14.0% compared to 11.3% in Tea.
- Higher depression rates are seen in Crystal lake at 19.6% versus 16.6% in Tea.
- Smoking is more prevalent in Tea at 12.6% compared to 12.3% in Crystal lake.
- Binge drinking is more common in Tea at 21.6% compared to 18.9% in Crystal lake.
- Obesity rates are higher in Tea at 34.5% compared to 29.5% in Crystal lake.
- There is a higher percentage of disabled individuals in Crystal lake at 9.0% compared to 4.0% in Tea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tea | Crystal lake |
|---|---|---|
| No Schooling | 0.1% (10) | 0.2% (95) |
| High School Diploma | 7.8% (537) | 13.8% (5,614) |
| Less than High School | 1.6% (108) | 5.8% (2,362) |
| Bachelor's Degree and Higher | 19.9% (1,378) | 27.1% (11,028) |
Education Levels Comparison: Tea vs Crystal lake
- In Crystal lake, a larger percentage of residents lack formal schooling at 0.2% compared to 0.1% in Tea.
- In Crystal lake, the rate of residents with high school diplomas is higher at 13.8% compared to 7.8% in Tea.
- The percentage of residents with less than a high school education is higher in Crystal lake at 5.8%, compared to 1.6% in Tea.
- In Crystal lake, a larger share of residents have a bachelor's degree or higher at 27.1% compared to 19.9% in Tea.
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.