Demographics details for Orland park, IL vs Chino, CA
Population Overview
Compare main population characteristics in Orland park, IL vs Chino, CA.
| Data | Orland park | Chino |
|---|---|---|
| Population | 57,511 | 93,140 |
| Median Age | 46.6 years | 36.9 years |
| Median Income | $97,365 | $99,385 |
| Married Families | 48.0% | 40.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 5.4 | 4.6 |
Population Comparison: Orland park vs Chino
- The population in Chino is higher at 93,140, compared to 57,511 in Orland park.
- Residents in Orland park have a higher median age of 46.6 years compared to 36.9 years in Chino.
- Chino has a higher median income of $99,385, compared to $97,365 in Orland park.
- A higher percentage of married families is found in Orland park at 48.0% compared to 40.0% in Chino.
- The poverty level is higher in Chino at 12%, compared to 6% in Orland park.
- The unemployment rate in Orland park is higher at 5.4%, compared to 4.6% in Chino.
Demographics
Demographics Orland park vs Chino provide insight into the diversity of the communities to compare.
| Demographic | Orland park | Chino |
|---|---|---|
| Black | 4 | 7 |
| White | 76 | 4 |
| Asian | 5 | 18 |
| Hispanic | 10 | 53 |
| Two or More Races | 5 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Orland park vs Chino
- In Chino, the percentage of Black residents is higher at 7% compared to 4% in Orland park.
- Orland park has a higher percentage of White residents at 76% compared to 4% in Chino.
- In Chino, the Asian population stands at 18%, greater than 5% in Orland park.
- Chino has a higher percentage of Hispanic residents at 53%, compared to 10% in Orland park.
- The percentage of residents identifying as two or more races is higher in Chino at 17%, compared to 5% in Orland park.
- In Chino, the percentage of American Indian residents is higher at 1%, compared to 0% in Orland park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orland park | Chino |
|---|---|---|
| Mental Health Not Good | 13.2% | 15.2% |
| Physical Health Not Good | 8.6% | 11.1% |
| Depression | 18.2% | 16.7% |
| Smoking | 11.7% | 11.3% |
| Binge Drinking | 20.2% | 16.0% |
| Obesity | 26.8% | 35.6% |
| Disability Percentage | 11.0% | 7.0% |
Health Statistics Comparison: Orland park vs Chino
- In Chino, a higher percentage report poor mental health at 15.2% compared to 13.2% in Orland park.
- Depression is more prevalent in Orland park at 18.2% compared to 16.7% in Chino.
- Smoking is more prevalent in Orland park at 11.7% compared to 11.3% in Chino.
- Binge drinking is more common in Orland park at 20.2% compared to 16.0% in Chino.
- Chino has higher obesity rates at 35.6% compared to 26.8% in Orland park.
- Disability percentages are higher in Orland park at 11.0% compared to 7.0% in Chino.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orland park | Chino |
|---|---|---|
| No Schooling | 0.5% (297) | 1.6% (1,483) |
| High School Diploma | 16.1% (9,262) | 13.2% (12,268) |
| Less than High School | 8.3% (4,763) | 20.1% (18,697) |
| Bachelor's Degree and Higher | 31.9% (18,372) | 18.9% (17,626) |
Education Levels Comparison: Orland park vs Chino
- In Chino, a larger percentage of residents lack formal schooling at 1.6% compared to 0.5% in Orland park.
- A higher percentage of residents in Orland park hold a high school diploma at 16.1% compared to 13.2% in Chino.
- The percentage of residents with less than a high school education is higher in Chino at 20.1%, compared to 8.3% in Orland park.
- A higher percentage of residents in Orland park hold a bachelor's degree or higher at 31.9% compared to 18.9% in Chino.
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.