Demographics details for Oak lawn, IL vs Albany, OR
Population Overview
Compare main population characteristics in Oak lawn, IL vs Albany, OR.
Data | Oak lawn | Albany |
---|---|---|
Population | 56,286 | 56,891 |
Median Age | 41.1 years | 36.5 years |
Median Income | $77,221 | $69,777 |
Married Families | 40.0% | 39.0% |
Poverty Level | 6% | 9% |
Unemployment Rate | 6.5 | 4.2 |
Population Comparison: Oak lawn vs Albany
- The population in Albany is higher at 56,891, compared to 56,286 in Oak lawn.
- Residents in Oak lawn have a higher median age of 41.1 years compared to 36.5 years in Albany.
- Oak lawn has a higher median income of $77,221 compared to $69,777 in Albany.
- A higher percentage of married families is found in Oak lawn at 40.0% compared to 39.0% in Albany.
- The poverty level is higher in Albany at 9%, compared to 6% in Oak lawn.
- The unemployment rate in Oak lawn is higher at 6.5%, compared to 4.2% in Albany.
Demographics
Demographics Oak lawn vs Albany provide insight into the diversity of the communities to compare.
Demographic | Oak lawn | Albany |
---|---|---|
Black | 8 | Data is updating |
White | 61 | 74 |
Asian | 2 | 2 |
Hispanic | 21 | 14 |
Two or More Races | 8 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Oak lawn vs Albany
- A higher percentage of Black residents are in Oak lawn at 8% compared to 0% in Albany.
- The percentage of White residents is higher in Albany at 74% compared to 61% in Oak lawn.
- Both Oak lawn and Albany have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Oak lawn at 21% compared to 14% in Albany.
- The percentage of residents identifying as two or more races is higher in Albany at 9%, compared to 8% in Oak lawn.
- In Albany, the percentage of American Indian residents is higher at 1%, compared to 0% in Oak lawn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oak lawn | Albany |
---|---|---|
Mental Health Not Good | 14.5% | 18.0% |
Physical Health Not Good | 10.2% | 11.0% |
Depression | 18.9% | 27.2% |
Smoking | 14.3% | 14.1% |
Binge Drinking | 19.3% | 17.0% |
Obesity | 29.9% | 35.5% |
Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Oak lawn vs Albany
- In Albany, a higher percentage report poor mental health at 18.0% compared to 14.5% in Oak lawn.
- Higher depression rates are seen in Albany at 27.2% versus 18.9% in Oak lawn.
- Smoking is more prevalent in Oak lawn at 14.3% compared to 14.1% in Albany.
- Binge drinking is more common in Oak lawn at 19.3% compared to 17.0% in Albany.
- Albany has higher obesity rates at 35.5% compared to 29.9% in Oak lawn.
- There is a higher percentage of disabled individuals in Albany at 15.0% compared to 12.0% in Oak lawn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oak lawn | Albany |
---|---|---|
No Schooling | 2.0% (1,144) | 0.4% (212) |
High School Diploma | 17.8% (10,028) | 12.4% (7,049) |
Less than High School | 14.3% (8,048) | 9.2% (5,244) |
Bachelor's Degree and Higher | 21.2% (11,939) | 18.7% (10,614) |
Education Levels Comparison: Oak lawn vs Albany
- A higher percentage of residents in Oak lawn have no formal schooling at 2.0% compared to 0.4% in Albany.
- A higher percentage of residents in Oak lawn hold a high school diploma at 17.8% compared to 12.4% in Albany.
- More residents in Oak lawn have less than a high school education at 14.3% compared to 9.2% in Albany.
- A higher percentage of residents in Oak lawn hold a bachelor's degree or higher at 21.2% compared to 18.7% in Albany.
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.