Demographics details for Coal city, IL vs Lexington, KY
Population Overview
Compare main population characteristics in Coal city, IL vs Lexington, KY.
Data | Coal city | Lexington |
---|---|---|
Population | 5,741 | 320,347 |
Median Age | 40.5 years | 35.2 years |
Median Income | $77,939 | $66,087 |
Married Families | 37.0% | 36.0% |
Poverty Level | 8% | 11% |
Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Coal city vs Lexington
- The population in Lexington is higher at 320,347, compared to 5,741 in Coal city.
- Residents in Coal city have a higher median age of 40.5 years compared to 35.2 years in Lexington.
- Coal city has a higher median income of $77,939 compared to $66,087 in Lexington.
- A higher percentage of married families is found in Coal city at 37.0% compared to 36.0% in Lexington.
- The poverty level is higher in Lexington at 11%, compared to 8% in Coal city.
- Lexington has a higher unemployment rate at 4.2% compared to 3.2% in Coal city.
Demographics
Demographics Coal city vs Lexington provide insight into the diversity of the communities to compare.
Demographic | Coal city | Lexington |
---|---|---|
Black | 1 | 15 |
White | 90 | 68 |
Asian | Data is updating | 4 |
Hispanic | 6 | 7 |
Two or More Races | 3 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Coal city vs Lexington
- In Lexington, the percentage of Black residents is higher at 15% compared to 1% in Coal city.
- Coal city has a higher percentage of White residents at 90% compared to 68% in Lexington.
- In Lexington, the Asian population stands at 4%, greater than 0% in Coal city.
- Lexington has a higher percentage of Hispanic residents at 7%, compared to 6% in Coal city.
- The percentage of residents identifying as two or more races is higher in Lexington at 6%, compared to 3% in Coal city.
- The percentage of American Indian residents is the same in both Coal city and Lexington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Coal city | Lexington |
---|---|---|
Mental Health Not Good | 15.4% | 17.1% |
Physical Health Not Good | 9.9% | 12.0% |
Depression | 21.2% | 24.0% |
Smoking | 15.3% | 17.0% |
Binge Drinking | 19.5% | 15.9% |
Obesity | 34.4% | 36.0% |
Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Coal city vs Lexington
- In Lexington, a higher percentage report poor mental health at 17.1% compared to 15.4% in Coal city.
- Higher depression rates are seen in Lexington at 24.0% versus 21.2% in Coal city.
- Lexington has a higher smoking rate at 17.0% compared to 15.3% in Coal city.
- Binge drinking is more common in Coal city at 19.5% compared to 15.9% in Lexington.
- Lexington has higher obesity rates at 36.0% compared to 34.4% in Coal city.
- There is a higher percentage of disabled individuals in Lexington at 12.0% compared to 9.0% in Coal city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Coal city | Lexington |
---|---|---|
No Schooling | 0.9% (52) | 0.6% (2,032) |
High School Diploma | 18.1% (1,037) | 9.9% (31,844) |
Less than High School | 9.7% (556) | 8.7% (27,787) |
Bachelor's Degree and Higher | 15.4% (884) | 30.4% (97,540) |
Education Levels Comparison: Coal city vs Lexington
- A higher percentage of residents in Coal city have no formal schooling at 0.9% compared to 0.6% in Lexington.
- A higher percentage of residents in Coal city hold a high school diploma at 18.1% compared to 9.9% in Lexington.
- More residents in Coal city have less than a high school education at 9.7% compared to 8.7% in Lexington.
- In Lexington, a larger share of residents have a bachelor's degree or higher at 30.4% compared to 15.4% in Coal city.
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.