Demographics details for Oak forest, IL vs Fontana, CA
Population Overview
Compare main population characteristics in Oak forest, IL vs Fontana, CA.
Data | Oak forest | Fontana |
---|---|---|
Population | 27,962 | 212,475 |
Median Age | 36.0 years | 32.6 years |
Median Income | $75,100 | $93,230 |
Married Families | 62.0% | 36.0% |
Poverty Level | 5% | 13% |
Unemployment Rate | 4.0 | 5.0 |
Population Comparison: Oak forest vs Fontana
- The population in Fontana is higher at 212,475, compared to 27,962 in Oak forest.
- Residents in Oak forest have a higher median age of 36.0 years compared to 32.6 years in Fontana.
- Fontana has a higher median income of $93,230, compared to $75,100 in Oak forest.
- A higher percentage of married families is found in Oak forest at 62.0% compared to 36.0% in Fontana.
- The poverty level is higher in Fontana at 13%, compared to 5% in Oak forest.
- Fontana has a higher unemployment rate at 5.0% compared to 4.0% in Oak forest.
Demographics
Demographics Oak forest vs Fontana provide insight into the diversity of the communities to compare.
Demographic | Oak forest | Fontana |
---|---|---|
Black | 25 | 8 |
White | 65 | 2 |
Asian | 5 | 7 |
Hispanic | 5 | 68 |
Two or More Races | 10 | 14 |
American Indian | Data is updating | 1 |
Demographics Comparison: Oak forest vs Fontana
- A higher percentage of Black residents are in Oak forest at 25% compared to 8% in Fontana.
- Oak forest has a higher percentage of White residents at 65% compared to 2% in Fontana.
- In Fontana, the Asian population stands at 7%, greater than 5% in Oak forest.
- Fontana has a higher percentage of Hispanic residents at 68%, compared to 5% in Oak forest.
- The percentage of residents identifying as two or more races is higher in Fontana at 14%, compared to 10% in Oak forest.
- In Fontana, the percentage of American Indian residents is higher at 1%, compared to 0% in Oak forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oak forest | Fontana |
---|---|---|
Mental Health Not Good | Data is updating% | 16.2% |
Physical Health Not Good | Data is updating% | 12.6% |
Depression | Data is updating% | 17.0% |
Smoking | Data is updating% | 12.4% |
Binge Drinking | Data is updating% | 15.1% |
Obesity | Data is updating% | 38.6% |
Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Oak forest vs Fontana
- In Fontana, a higher percentage report poor mental health at 16.2% compared to 0.0% in Oak forest.
- Higher depression rates are seen in Fontana at 17.0% versus 0.0% in Oak forest.
- Fontana has a higher smoking rate at 12.4% compared to 0.0% in Oak forest.
- More residents engage in binge drinking in Fontana at 15.1% compared to 0.0% in Oak forest.
- Fontana has higher obesity rates at 38.6% compared to 0.0% in Oak forest.
- There is a higher percentage of disabled individuals in Fontana at 8.0% 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 | Fontana |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.2% (4,748) |
High School Diploma | 0.0% (Data is updating) | 16.3% (34,556) |
Less than High School | 0.0% (Data is updating) | 25.3% (53,655) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.0% (25,587) |
Education Levels Comparison: Oak forest vs Fontana
- In Fontana, a larger percentage of residents lack formal schooling at 2.2% compared to 0.0% in Oak forest.
- In Fontana, the rate of residents with high school diplomas is higher at 16.3% compared to 0.0% in Oak forest.
- The percentage of residents with less than a high school education is higher in Fontana at 25.3%, compared to 0.0% in Oak forest.
- In Fontana, a larger share of residents have a bachelor's degree or higher at 12.0% 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.