Demographics details for Crystal lake, IL vs Mahopac, NY
Population Overview
Compare main population characteristics in Crystal lake, IL vs Mahopac, NY.
Data | Crystal lake | Mahopac |
---|---|---|
Population | 40,661 | 8,774 |
Median Age | 39.9 years | 43.6 years |
Median Income | $103,018 | $119,563 |
Married Families | 46.0% | 50.0% |
Poverty Level | 5% | 4% |
Unemployment Rate | 5.4 | 3.5 |
Population Comparison: Crystal lake vs Mahopac
- In Crystal lake, the population is higher at 40,661, compared to 8,774 in Mahopac.
- The median age in Mahopac is higher at 43.6 years, compared to 39.9 years in Crystal lake.
- Mahopac has a higher median income of $119,563, compared to $103,018 in Crystal lake.
- In Mahopac, the percentage of married families is higher at 50.0%, compared to 46.0% in Crystal lake.
- Crystal lake has a higher poverty level at 5% compared to 4% in Mahopac.
- The unemployment rate in Crystal lake is higher at 5.4%, compared to 3.5% in Mahopac.
Demographics
Demographics Crystal lake vs Mahopac provide insight into the diversity of the communities to compare.
Demographic | Crystal lake | Mahopac |
---|---|---|
Black | 1 | 1 |
White | 79 | 73 |
Asian | 4 | 3 |
Hispanic | 11 | 18 |
Two or More Races | 5 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Crystal lake vs Mahopac
- The percentage of Black residents is the same in both Crystal lake and Mahopac at 1%.
- Crystal lake has a higher percentage of White residents at 79% compared to 73% in Mahopac.
- The Asian population is larger in Crystal lake at 4% compared to 3% in Mahopac.
- Mahopac has a higher percentage of Hispanic residents at 18%, compared to 11% in Crystal lake.
- Both Crystal lake and Mahopac have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Crystal lake and Mahopac at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Crystal lake | Mahopac |
---|---|---|
Mental Health Not Good | 14.0% | 13.8% |
Physical Health Not Good | 8.9% | 8.5% |
Depression | 19.6% | 19.3% |
Smoking | 12.3% | 13.6% |
Binge Drinking | 18.9% | 18.9% |
Obesity | 29.5% | 28.3% |
Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Crystal lake vs Mahopac
- More residents in Crystal lake report poor mental health at 14.0% compared to 13.8% in Mahopac.
- Depression is more prevalent in Crystal lake at 19.6% compared to 19.3% in Mahopac.
- Mahopac has a higher smoking rate at 13.6% compared to 12.3% in Crystal lake.
- Binge drinking rates are similar in both Crystal lake and Mahopac at 18.9%.
- Obesity rates are higher in Crystal lake at 29.5% compared to 28.3% in Mahopac.
- There is a higher percentage of disabled individuals in Mahopac at 12.0% 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 | Mahopac |
---|---|---|
No Schooling | 0.2% (95) | 2.5% (221) |
High School Diploma | 13.8% (5,614) | 17.0% (1,491) |
Less than High School | 5.8% (2,362) | 9.0% (786) |
Bachelor's Degree and Higher | 27.1% (11,028) | 30.1% (2,644) |
Education Levels Comparison: Crystal lake vs Mahopac
- In Mahopac, a larger percentage of residents lack formal schooling at 2.5% compared to 0.2% in Crystal lake.
- In Mahopac, the rate of residents with high school diplomas is higher at 17.0% compared to 13.8% in Crystal lake.
- The percentage of residents with less than a high school education is higher in Mahopac at 9.0%, compared to 5.8% in Crystal lake.
- In Mahopac, a larger share of residents have a bachelor's degree or higher at 30.1% compared to 27.1% in Crystal lake.
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.