Demographics details for Oak forest, IL vs Cudahy, WI
Population Overview
Compare main population characteristics in Oak forest, IL vs Cudahy, WI.
| Data | Oak forest | Cudahy |
|---|---|---|
| Population | 27,962 | 17,796 |
| Median Age | 36.0 years | 42.4 years |
| Median Income | $75,100 | $66,592 |
| Married Families | 62.0% | 39.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Oak forest vs Cudahy
- In Oak forest, the population is higher at 27,962, compared to 17,796 in Cudahy.
- The median age in Cudahy is higher at 42.4 years, compared to 36.0 years in Oak forest.
- Oak forest has a higher median income of $75,100 compared to $66,592 in Cudahy.
- A higher percentage of married families is found in Oak forest at 62.0% compared to 39.0% in Cudahy.
- The poverty level is higher in Cudahy at 11%, compared to 5% in Oak forest.
- The unemployment rate in Oak forest is higher at 4.0%, compared to 3.5% in Cudahy.
Demographics
Demographics Oak forest vs Cudahy provide insight into the diversity of the communities to compare.
| Demographic | Oak forest | Cudahy |
|---|---|---|
| Black | 25 | 3 |
| White | 65 | 77 |
| Asian | 5 | 2 |
| Hispanic | 5 | 9 |
| Two or More Races | 10 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Oak forest vs Cudahy
- A higher percentage of Black residents are in Oak forest at 25% compared to 3% in Cudahy.
- The percentage of White residents is higher in Cudahy at 77% compared to 65% in Oak forest.
- The Asian population is larger in Oak forest at 5% compared to 2% in Cudahy.
- Cudahy has a higher percentage of Hispanic residents at 9%, compared to 5% in Oak forest.
- More residents identify as two or more races in Oak forest at 10% compared to 9% in Cudahy.
- The percentage of American Indian residents is the same in both Oak forest and Cudahy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oak forest | Cudahy |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.5% |
| Physical Health Not Good | Data is updating% | 9.6% |
| Depression | Data is updating% | 24.3% |
| Smoking | Data is updating% | 16.4% |
| Binge Drinking | Data is updating% | 26.4% |
| Obesity | Data is updating% | 34.2% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Oak forest vs Cudahy
- In Cudahy, a higher percentage report poor mental health at 15.5% compared to 0.0% in Oak forest.
- Higher depression rates are seen in Cudahy at 24.3% versus 0.0% in Oak forest.
- Cudahy has a higher smoking rate at 16.4% compared to 0.0% in Oak forest.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 0.0% in Oak forest.
- Cudahy has higher obesity rates at 34.2% compared to 0.0% in Oak forest.
- There is a higher percentage of disabled individuals in Cudahy at 16.0% compared to 0.0% in Oak forest.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oak forest | Cudahy |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (166) |
| High School Diploma | 0.0% (Data is updating) | 25.1% (4,460) |
| Less than High School | 0.0% (Data is updating) | 9.9% (1,768) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 21.0% (3,730) |
Education Levels Comparison: Oak forest vs Cudahy
- In Cudahy, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Oak forest.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 0.0% in Oak forest.
- The percentage of residents with less than a high school education is higher in Cudahy at 9.9%, compared to 0.0% in Oak forest.
- In Cudahy, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 0.0% in Oak forest.
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.