Demographics details for Coleman, OK vs Crystal lake, IL
Population Overview
Compare main population characteristics in Coleman, OK vs Crystal lake, IL.
Data | Coleman | Crystal lake |
---|---|---|
Population | 297 | 40,661 |
Median Age | 39.7 years | 39.9 years |
Median Income | $45,938 | $103,018 |
Married Families | 35.0% | 46.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 3.5 | 5.4 |
Population Comparison: Coleman vs Crystal lake
- The population in Crystal lake is higher at 40,661, compared to 297 in Coleman.
- The median age in Crystal lake is higher at 39.9 years, compared to 39.7 years in Coleman.
- Crystal lake has a higher median income of $103,018, compared to $45,938 in Coleman.
- In Crystal lake, the percentage of married families is higher at 46.0%, compared to 35.0% in Coleman.
- Coleman 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 3.5% in Coleman.
Demographics
Demographics Coleman vs Crystal lake provide insight into the diversity of the communities to compare.
Demographic | Coleman | Crystal lake |
---|---|---|
Black | 2 | 1 |
White | 77 | 79 |
Asian | Data is updating | 4 |
Hispanic | 1 | 11 |
Two or More Races | 9 | 5 |
American Indian | 11 | Data is updating |
Demographics Comparison: Coleman vs Crystal lake
- A higher percentage of Black residents are in Coleman at 2% compared to 1% in Crystal lake.
- The percentage of White residents is higher in Crystal lake at 79% compared to 77% in Coleman.
- In Crystal lake, the Asian population stands at 4%, greater than 0% in Coleman.
- Crystal lake has a higher percentage of Hispanic residents at 11%, compared to 1% in Coleman.
- More residents identify as two or more races in Coleman at 9% compared to 5% in Crystal lake.
- A greater percentage of American Indian residents live in Coleman at 11% compared to 0% in Crystal lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Coleman | Crystal lake |
---|---|---|
Mental Health Not Good | 19.9% | 14.0% |
Physical Health Not Good | 13.9% | 8.9% |
Depression | 26.9% | 19.6% |
Smoking | 22.9% | 12.3% |
Binge Drinking | 14.8% | 18.9% |
Obesity | 40.8% | 29.5% |
Disability Percentage | 29.0% | 9.0% |
Health Statistics Comparison: Coleman vs Crystal lake
- More residents in Coleman report poor mental health at 19.9% compared to 14.0% in Crystal lake.
- Depression is more prevalent in Coleman at 26.9% compared to 19.6% in Crystal lake.
- Smoking is more prevalent in Coleman at 22.9% compared to 12.3% in Crystal lake.
- More residents engage in binge drinking in Crystal lake at 18.9% compared to 14.8% in Coleman.
- Obesity rates are higher in Coleman at 40.8% compared to 29.5% in Crystal lake.
- Disability percentages are higher in Coleman at 29.0% 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 | Coleman | Crystal lake |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.2% (95) |
High School Diploma | 28.6% (85) | 13.8% (5,614) |
Less than High School | 4.0% (12) | 5.8% (2,362) |
Bachelor's Degree and Higher | 11.1% (33) | 27.1% (11,028) |
Education Levels Comparison: Coleman vs Crystal lake
- In Crystal lake, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Coleman.
- A higher percentage of residents in Coleman hold a high school diploma at 28.6% compared to 13.8% in Crystal lake.
- The percentage of residents with less than a high school education is higher in Crystal lake at 5.8%, compared to 4.0% in Coleman.
- In Crystal lake, a larger share of residents have a bachelor's degree or higher at 27.1% compared to 11.1% in Coleman.
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.