Demographics details for Tinley park, IL vs Florence, OR
Population Overview
Compare main population characteristics in Tinley park, IL vs Florence, OR.
| Data | Tinley park | Florence |
|---|---|---|
| Population | 54,287 | 9,376 |
| Median Age | 41.6 years | 57.7 years |
| Median Income | $99,628 | $57,568 |
| Married Families | 45.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 5.7 | 4.5 |
Population Comparison: Tinley park vs Florence
- In Tinley park, the population is higher at 54,287, compared to 9,376 in Florence.
- The median age in Florence is higher at 57.7 years, compared to 41.6 years in Tinley park.
- Tinley park has a higher median income of $99,628 compared to $57,568 in Florence.
- A higher percentage of married families is found in Tinley park at 45.0% compared to 42.0% in Florence.
- The poverty level is higher in Florence at 10%, compared to 5% in Tinley park.
- The unemployment rate in Tinley park is higher at 5.7%, compared to 4.5% in Florence.
Demographics
Demographics Tinley park vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Tinley park | Florence |
|---|---|---|
| Black | 6 | 2 |
| White | 71 | 87 |
| Asian | 4 | 2 |
| Hispanic | 12 | 5 |
| Two or More Races | 7 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Tinley park vs Florence
- A higher percentage of Black residents are in Tinley park at 6% compared to 2% in Florence.
- The percentage of White residents is higher in Florence at 87% compared to 71% in Tinley park.
- The Asian population is larger in Tinley park at 4% compared to 2% in Florence.
- The Hispanic community is larger in Tinley park at 12% compared to 5% in Florence.
- More residents identify as two or more races in Tinley park at 7% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Tinley park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tinley park | Florence |
|---|---|---|
| Mental Health Not Good | 13.7% | 19.8% |
| Physical Health Not Good | 9.0% | 13.1% |
| Depression | 18.6% | 29.2% |
| Smoking | 12.5% | 16.7% |
| Binge Drinking | 19.9% | 17.0% |
| Obesity | 28.3% | 36.0% |
| Disability Percentage | 9.0% | 25.0% |
Health Statistics Comparison: Tinley park vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 13.7% in Tinley park.
- Higher depression rates are seen in Florence at 29.2% versus 18.6% in Tinley park.
- Florence has a higher smoking rate at 16.7% compared to 12.5% in Tinley park.
- Binge drinking is more common in Tinley park at 19.9% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 28.3% in Tinley park.
- There is a higher percentage of disabled individuals in Florence at 25.0% compared to 9.0% in Tinley park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tinley park | Florence |
|---|---|---|
| No Schooling | 0.5% (275) | 0.4% (35) |
| High School Diploma | 16.9% (9,199) | 14.2% (1,331) |
| Less than High School | 5.9% (3,208) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 27.8% (15,085) | 19.9% (1,865) |
Education Levels Comparison: Tinley park vs Florence
- A higher percentage of residents in Tinley park have no formal schooling at 0.5% compared to 0.4% in Florence.
- A higher percentage of residents in Tinley park hold a high school diploma at 16.9% 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 5.9% in Tinley park.
- A higher percentage of residents in Tinley park hold a bachelor's degree or higher at 27.8% 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.