Demographics details for Crystal lake, IL vs Malta, MT
Population Overview
Compare main population characteristics in Crystal lake, IL vs Malta, MT.
| Data | Crystal lake | Malta |
|---|---|---|
| Population | 40,661 | 1,868 |
| Median Age | 39.9 years | 49.6 years |
| Median Income | $103,018 | $60,735 |
| Married Families | 46.0% | 49.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 5.4 | 3.1 |
Population Comparison: Crystal lake vs Malta
- In Crystal lake, the population is higher at 40,661, compared to 1,868 in Malta.
- The median age in Malta is higher at 49.6 years, compared to 39.9 years in Crystal lake.
- Crystal lake has a higher median income of $103,018 compared to $60,735 in Malta.
- In Malta, the percentage of married families is higher at 49.0%, compared to 46.0% in Crystal lake.
- The poverty level is higher in Malta at 10%, compared to 5% in Crystal lake.
- The unemployment rate in Crystal lake is higher at 5.4%, compared to 3.1% in Malta.
Demographics
Demographics Crystal lake vs Malta provide insight into the diversity of the communities to compare.
| Demographic | Crystal lake | Malta |
|---|---|---|
| Black | 1 | Data is updating |
| White | 79 | 77 |
| Asian | 4 | Data is updating |
| Hispanic | 11 | 5 |
| Two or More Races | 5 | 14 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Crystal lake vs Malta
- A higher percentage of Black residents are in Crystal lake at 1% compared to 0% in Malta.
- Crystal lake has a higher percentage of White residents at 79% compared to 77% in Malta.
- The Asian population is larger in Crystal lake at 4% compared to 0% in Malta.
- The Hispanic community is larger in Crystal lake at 11% compared to 5% in Malta.
- The percentage of residents identifying as two or more races is higher in Malta at 14%, compared to 5% in Crystal lake.
- In Malta, the percentage of American Indian residents is higher at 4%, compared to 0% in Crystal lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Crystal lake | Malta |
|---|---|---|
| Mental Health Not Good | 14.0% | 17.3% |
| Physical Health Not Good | 8.9% | 11.7% |
| Depression | 19.6% | 23.6% |
| Smoking | 12.3% | 18.6% |
| Binge Drinking | 18.9% | 21.3% |
| Obesity | 29.5% | 37.6% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Crystal lake vs Malta
- In Malta, a higher percentage report poor mental health at 17.3% compared to 14.0% in Crystal lake.
- Higher depression rates are seen in Malta at 23.6% versus 19.6% in Crystal lake.
- Malta has a higher smoking rate at 18.6% compared to 12.3% in Crystal lake.
- More residents engage in binge drinking in Malta at 21.3% compared to 18.9% in Crystal lake.
- Malta has higher obesity rates at 37.6% compared to 29.5% in Crystal lake.
- There is a higher percentage of disabled individuals in Malta 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 | Malta |
|---|---|---|
| No Schooling | 0.2% (95) | 0.1% (1) |
| High School Diploma | 13.8% (5,614) | 23.8% (444) |
| Less than High School | 5.8% (2,362) | 12.3% (230) |
| Bachelor's Degree and Higher | 27.1% (11,028) | 19.3% (361) |
Education Levels Comparison: Crystal lake vs Malta
- A higher percentage of residents in Crystal lake have no formal schooling at 0.2% compared to 0.1% in Malta.
- In Malta, the rate of residents with high school diplomas is higher at 23.8% compared to 13.8% in Crystal lake.
- The percentage of residents with less than a high school education is higher in Malta at 12.3%, 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 19.3% in Malta.
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.