Demographics details for Ashland, OH vs Crystal lake, IL
Population Overview
Compare main population characteristics in Ashland, OH vs Crystal lake, IL.
Data | Ashland | Crystal lake |
---|---|---|
Population | 19,015 | 40,661 |
Median Age | 38.8 years | 39.9 years |
Median Income | $56,040 | $103,018 |
Married Families | 38.0% | 46.0% |
Poverty Level | 11% | 5% |
Unemployment Rate | 4.2 | 5.4 |
Population Comparison: Ashland vs Crystal lake
- The population in Crystal lake is higher at 40,661, compared to 19,015 in Ashland.
- The median age in Crystal lake is higher at 39.9 years, compared to 38.8 years in Ashland.
- Crystal lake has a higher median income of $103,018, compared to $56,040 in Ashland.
- In Crystal lake, the percentage of married families is higher at 46.0%, compared to 38.0% in Ashland.
- Ashland has a higher poverty level at 11% compared to 5% in Crystal lake.
- Crystal lake has a higher unemployment rate at 5.4% compared to 4.2% in Ashland.
Demographics
Demographics Ashland vs Crystal lake provide insight into the diversity of the communities to compare.
Demographic | Ashland | Crystal lake |
---|---|---|
Black | 2 | 1 |
White | 91 | 79 |
Asian | 1 | 4 |
Hispanic | 2 | 11 |
Two or More Races | 4 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Ashland vs Crystal lake
- A higher percentage of Black residents are in Ashland at 2% compared to 1% in Crystal lake.
- Ashland has a higher percentage of White residents at 91% compared to 79% in Crystal lake.
- In Crystal lake, the Asian population stands at 4%, greater than 1% in Ashland.
- Crystal lake has a higher percentage of Hispanic residents at 11%, compared to 2% in Ashland.
- The percentage of residents identifying as two or more races is higher in Crystal lake at 5%, compared to 4% in Ashland.
- The percentage of American Indian residents is the same in both Ashland and Crystal lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ashland | Crystal lake |
---|---|---|
Mental Health Not Good | 18.2% | 14.0% |
Physical Health Not Good | 12.1% | 8.9% |
Depression | 24.6% | 19.6% |
Smoking | 20.6% | 12.3% |
Binge Drinking | 18.1% | 18.9% |
Obesity | 38.7% | 29.5% |
Disability Percentage | 16.0% | 9.0% |
Health Statistics Comparison: Ashland vs Crystal lake
- More residents in Ashland report poor mental health at 18.2% compared to 14.0% in Crystal lake.
- Depression is more prevalent in Ashland at 24.6% compared to 19.6% in Crystal lake.
- Smoking is more prevalent in Ashland at 20.6% compared to 12.3% in Crystal lake.
- More residents engage in binge drinking in Crystal lake at 18.9% compared to 18.1% in Ashland.
- Obesity rates are higher in Ashland at 38.7% compared to 29.5% in Crystal lake.
- Disability percentages are higher in Ashland at 16.0% 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 | Ashland | Crystal lake |
---|---|---|
No Schooling | 0.1% (28) | 0.2% (95) |
High School Diploma | 23.0% (4,380) | 13.8% (5,614) |
Less than High School | 12.3% (2,337) | 5.8% (2,362) |
Bachelor's Degree and Higher | 16.6% (3,160) | 27.1% (11,028) |
Education Levels Comparison: Ashland vs Crystal lake
- In Crystal lake, a larger percentage of residents lack formal schooling at 0.2% compared to 0.1% in Ashland.
- A higher percentage of residents in Ashland hold a high school diploma at 23.0% compared to 13.8% in Crystal lake.
- More residents in Ashland have less than a high school education at 12.3% 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 16.6% in Ashland.
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.