Demographics details for Oak forest, IL vs Trumann, AR
Population Overview
Compare main population characteristics in Oak forest, IL vs Trumann, AR.
Data | Oak forest | Trumann |
---|---|---|
Population | 27,962 | 7,305 |
Median Age | 36.0 years | 40.0 years |
Median Income | $75,100 | $37,618 |
Married Families | 62.0% | 35.0% |
Poverty Level | 5% | 13% |
Unemployment Rate | 4.0 | 4.2 |
Population Comparison: Oak forest vs Trumann
- In Oak forest, the population is higher at 27,962, compared to 7,305 in Trumann.
- The median age in Trumann is higher at 40.0 years, compared to 36.0 years in Oak forest.
- Oak forest has a higher median income of $75,100 compared to $37,618 in Trumann.
- A higher percentage of married families is found in Oak forest at 62.0% compared to 35.0% in Trumann.
- The poverty level is higher in Trumann at 13%, compared to 5% in Oak forest.
- Trumann has a higher unemployment rate at 4.2% compared to 4.0% in Oak forest.
Demographics
Demographics Oak forest vs Trumann provide insight into the diversity of the communities to compare.
Demographic | Oak forest | Trumann |
---|---|---|
Black | 25 | 5 |
White | 65 | 84 |
Asian | 5 | Data is updating |
Hispanic | 5 | 3 |
Two or More Races | 10 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Oak forest vs Trumann
- A higher percentage of Black residents are in Oak forest at 25% compared to 5% in Trumann.
- The percentage of White residents is higher in Trumann at 84% compared to 65% in Oak forest.
- The Asian population is larger in Oak forest at 5% compared to 0% in Trumann.
- The Hispanic community is larger in Oak forest at 5% compared to 3% in Trumann.
- More residents identify as two or more races in Oak forest at 10% compared to 8% in Trumann.
- The percentage of American Indian residents is the same in both Oak forest and Trumann at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oak forest | Trumann |
---|---|---|
Mental Health Not Good | Data is updating% | 20.8% |
Physical Health Not Good | Data is updating% | 15.2% |
Depression | Data is updating% | 28.5% |
Smoking | Data is updating% | 25.0% |
Binge Drinking | Data is updating% | 14.4% |
Obesity | Data is updating% | 44.6% |
Disability Percentage | Data is updating% | 24.0% |
Health Statistics Comparison: Oak forest vs Trumann
- In Trumann, a higher percentage report poor mental health at 20.8% compared to 0.0% in Oak forest.
- Higher depression rates are seen in Trumann at 28.5% versus 0.0% in Oak forest.
- Trumann has a higher smoking rate at 25.0% compared to 0.0% in Oak forest.
- More residents engage in binge drinking in Trumann at 14.4% compared to 0.0% in Oak forest.
- Trumann has higher obesity rates at 44.6% compared to 0.0% in Oak forest.
- There is a higher percentage of disabled individuals in Trumann at 24.0% compared to 0.0% in Oak forest.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oak forest | Trumann |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.8% (135) |
High School Diploma | 0.0% (Data is updating) | 25.9% (1,895) |
Less than High School | 0.0% (Data is updating) | 24.4% (1,780) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 6.7% (487) |
Education Levels Comparison: Oak forest vs Trumann
- In Trumann, a larger percentage of residents lack formal schooling at 1.8% compared to 0.0% in Oak forest.
- In Trumann, the rate of residents with high school diplomas is higher at 25.9% compared to 0.0% in Oak forest.
- The percentage of residents with less than a high school education is higher in Trumann at 24.4%, compared to 0.0% in Oak forest.
- In Trumann, a larger share of residents have a bachelor's degree or higher at 6.7% compared to 0.0% in Oak forest.
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.