Demographics details for Mobile, AL vs Orland park, IL
Population Overview
Compare main population characteristics in Mobile, AL vs Orland park, IL.
| Data | Mobile | Orland park |
|---|---|---|
| Population | 183,289 | 57,511 |
| Median Age | 37.6 years | 46.6 years |
| Median Income | $48,524 | $97,365 |
| Married Families | 30.0% | 48.0% |
| Poverty Level | 21% | 6% |
| Unemployment Rate | 3.9 | 5.4 |
Population Comparison: Mobile vs Orland park
- In Mobile, the population is higher at 183,289, compared to 57,511 in Orland park.
- The median age in Orland park is higher at 46.6 years, compared to 37.6 years in Mobile.
- Orland park has a higher median income of $97,365, compared to $48,524 in Mobile.
- In Orland park, the percentage of married families is higher at 48.0%, compared to 30.0% in Mobile.
- Mobile has a higher poverty level at 21% compared to 6% in Orland park.
- Orland park has a higher unemployment rate at 5.4% compared to 3.9% in Mobile.
Demographics
Demographics Mobile vs Orland park provide insight into the diversity of the communities to compare.
| Demographic | Mobile | Orland park |
|---|---|---|
| Black | 54 | 4 |
| White | 38 | 76 |
| Asian | 2 | 5 |
| Hispanic | 3 | 10 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mobile vs Orland park
- A higher percentage of Black residents are in Mobile at 54% compared to 4% in Orland park.
- The percentage of White residents is higher in Orland park at 76% compared to 38% in Mobile.
- In Orland park, the Asian population stands at 5%, greater than 2% in Mobile.
- Orland park has a higher percentage of Hispanic residents at 10%, compared to 3% in Mobile.
- The percentage of residents identifying as two or more races is higher in Orland park at 5%, compared to 3% in Mobile.
- The percentage of American Indian residents is the same in both Mobile and Orland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mobile | Orland park |
|---|---|---|
| Mental Health Not Good | 19.3% | 13.2% |
| Physical Health Not Good | 13.5% | 8.6% |
| Depression | 21.7% | 18.2% |
| Smoking | 18.6% | 11.7% |
| Binge Drinking | 15.1% | 20.2% |
| Obesity | 42.0% | 26.8% |
| Disability Percentage | 13.0% | 11.0% |
Health Statistics Comparison: Mobile vs Orland park
- More residents in Mobile report poor mental health at 19.3% compared to 13.2% in Orland park.
- Depression is more prevalent in Mobile at 21.7% compared to 18.2% in Orland park.
- Smoking is more prevalent in Mobile at 18.6% compared to 11.7% in Orland park.
- More residents engage in binge drinking in Orland park at 20.2% compared to 15.1% in Mobile.
- Obesity rates are higher in Mobile at 42.0% compared to 26.8% in Orland park.
- Disability percentages are higher in Mobile at 13.0% 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 | Mobile | Orland park |
|---|---|---|
| No Schooling | 0.7% (1,270) | 0.5% (297) |
| High School Diploma | 18.4% (33,785) | 16.1% (9,262) |
| Less than High School | 9.4% (17,177) | 8.3% (4,763) |
| Bachelor's Degree and Higher | 20.9% (38,346) | 31.9% (18,372) |
Education Levels Comparison: Mobile vs Orland park
- A higher percentage of residents in Mobile have no formal schooling at 0.7% compared to 0.5% in Orland park.
- A higher percentage of residents in Mobile hold a high school diploma at 18.4% compared to 16.1% in Orland park.
- More residents in Mobile have less than a high school education at 9.4% compared to 8.3% in Orland park.
- In Orland park, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 20.9% in Mobile.
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.