Demographics details for Orland park, IL vs Florence, OR
Population Overview
Compare main population characteristics in Orland park, IL vs Florence, OR.
| Data | Orland park | Florence |
|---|---|---|
| Population | 57,511 | 9,376 |
| Median Age | 46.6 years | 57.7 years |
| Median Income | $97,365 | $57,568 |
| Married Families | 48.0% | 42.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 5.4 | 4.5 |
Population Comparison: Orland park vs Florence
- In Orland park, the population is higher at 57,511, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 46.6 years in Orland park.
- Orland park has a higher median income of $97,365 compared to $57,568 in Florence.
- A higher percentage of married families is found in Orland park at 48.0% compared to 42.0% in Florence.
- The poverty level is higher in Florence at 10%, compared to 6% in Orland park.
- The unemployment rate in Orland park is higher at 5.4%, compared to 4.5% in Florence.
Demographics
Demographics Orland park vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Orland park | Florence |
|---|---|---|
| Black | 4 | 2 |
| White | 76 | 87 |
| Asian | 5 | 2 |
| Hispanic | 10 | 5 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Orland park vs Florence
- A higher percentage of Black residents are in Orland park at 4% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 76% in Orland park.
- The Asian population is larger in Orland park at 5% compared to 2% in Florence.
- The Hispanic community is larger in Orland park at 10% compared to 5% in Florence.
- More residents identify as two or more races in Orland park at 5% compared to 3% in Florence.
- In Florence, 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 | Florence |
|---|---|---|
| Mental Health Not Good | 13.2% | 19.8% |
| Physical Health Not Good | 8.6% | 13.1% |
| Depression | 18.2% | 29.2% |
| Smoking | 11.7% | 16.7% |
| Binge Drinking | 20.2% | 17.0% |
| Obesity | 26.8% | 36.0% |
| Disability Percentage | 11.0% | 25.0% |
Health Statistics Comparison: Orland park vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 13.2% in Orland park.
- Higher depression rates are seen in Florence at 29.2% versus 18.2% in Orland park.
- Florence has a higher smoking rate at 16.7% compared to 11.7% in Orland park.
- Binge drinking is more common in Orland park at 20.2% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 26.8% in Orland park.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 11.0% in Orland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orland park | Florence |
|---|---|---|
| No Schooling | 0.5% (297) | 0.4% (35) |
| High School Diploma | 16.1% (9,262) | 14.2% (1,331) |
| Less than High School | 8.3% (4,763) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 31.9% (18,372) | 19.9% (1,865) |
Education Levels Comparison: Orland park vs Florence
- A higher percentage of residents in Orland park have no formal schooling at 0.5% compared to 0.4% in Florence.
- A higher percentage of residents in Orland park hold a high school diploma at 16.1% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, 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 19.9% in Florence.
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.