Demographics details for Coal city, IL vs Milwaukee, WI
Population Overview
Compare main population characteristics in Coal city, IL vs Milwaukee, WI.
| Data | Coal city | Milwaukee |
|---|---|---|
| Population | 5,741 | 563,305 |
| Median Age | 40.5 years | 31.8 years |
| Median Income | $77,939 | $49,733 |
| Married Families | 37.0% | 23.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.2 | 4.8 |
Population Comparison: Coal city vs Milwaukee
- The population in Milwaukee is higher at 563,305, compared to 5,741 in Coal city.
- Residents in Coal city have a higher median age of 40.5 years compared to 31.8 years in Milwaukee.
- Coal city has a higher median income of $77,939 compared to $49,733 in Milwaukee.
- A higher percentage of married families is found in Coal city at 37.0% compared to 23.0% in Milwaukee.
- The poverty level is higher in Milwaukee at 18%, compared to 8% in Coal city.
- Milwaukee has a higher unemployment rate at 4.8% compared to 3.2% in Coal city.
Demographics
Demographics Coal city vs Milwaukee provide insight into the diversity of the communities to compare.
| Demographic | Coal city | Milwaukee |
|---|---|---|
| Black | 1 | 39 |
| White | 90 | 24 |
| Asian | Data is updating | 5 |
| Hispanic | 6 | 21 |
| Two or More Races | 3 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Coal city vs Milwaukee
- In Milwaukee, the percentage of Black residents is higher at 39% compared to 1% in Coal city.
- Coal city has a higher percentage of White residents at 90% compared to 24% in Milwaukee.
- In Milwaukee, the Asian population stands at 5%, greater than 0% in Coal city.
- Milwaukee has a higher percentage of Hispanic residents at 21%, compared to 6% in Coal city.
- The percentage of residents identifying as two or more races is higher in Milwaukee at 10%, compared to 3% in Coal city.
- In Milwaukee, the percentage of American Indian residents is higher at 1%, compared to 0% in Coal city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Coal city | Milwaukee |
|---|---|---|
| Mental Health Not Good | 15.4% | 17.5% |
| Physical Health Not Good | 9.9% | 12.7% |
| Depression | 21.2% | 22.9% |
| Smoking | 15.3% | 21.0% |
| Binge Drinking | 19.5% | 21.3% |
| Obesity | 34.4% | 41.6% |
| Disability Percentage | 9.0% | 13.0% |
Health Statistics Comparison: Coal city vs Milwaukee
- In Milwaukee, a higher percentage report poor mental health at 17.5% compared to 15.4% in Coal city.
- Higher depression rates are seen in Milwaukee at 22.9% versus 21.2% in Coal city.
- Milwaukee has a higher smoking rate at 21.0% compared to 15.3% in Coal city.
- More residents engage in binge drinking in Milwaukee at 21.3% compared to 19.5% in Coal city.
- Milwaukee has higher obesity rates at 41.6% compared to 34.4% in Coal city.
- There is a higher percentage of disabled individuals in Milwaukee at 13.0% 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 | Milwaukee |
|---|---|---|
| No Schooling | 0.9% (52) | 1.3% (7,509) |
| High School Diploma | 18.1% (1,037) | 16.7% (93,798) |
| Less than High School | 9.7% (556) | 14.4% (81,002) |
| Bachelor's Degree and Higher | 15.4% (884) | 16.6% (93,378) |
Education Levels Comparison: Coal city vs Milwaukee
- In Milwaukee, a larger percentage of residents lack formal schooling at 1.3% compared to 0.9% in Coal city.
- A higher percentage of residents in Coal city hold a high school diploma at 18.1% compared to 16.7% in Milwaukee.
- The percentage of residents with less than a high school education is higher in Milwaukee at 14.4%, compared to 9.7% in Coal city.
- In Milwaukee, a larger share of residents have a bachelor's degree or higher at 16.6% 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.