Demographics details for Park forest, IL vs Helena, MT
Population Overview
Compare main population characteristics in Park forest, IL vs Helena, MT.
| Data | Park forest | Helena |
|---|---|---|
| Population | 20,954 | 33,885 |
| Median Age | 37.4 years | 39.9 years |
| Median Income | $58,907 | $64,798 |
| Married Families | 25.0% | 34.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 8.9 | 3.0 |
Population Comparison: Park forest vs Helena
- The population in Helena is higher at 33,885, compared to 20,954 in Park forest.
- The median age in Helena is higher at 39.9 years, compared to 37.4 years in Park forest.
- Helena has a higher median income of $64,798, compared to $58,907 in Park forest.
- In Helena, the percentage of married families is higher at 34.0%, compared to 25.0% in Park forest.
- Park forest has a higher poverty level at 13% compared to 10% in Helena.
- The unemployment rate in Park forest is higher at 8.9%, compared to 3.0% in Helena.
Demographics
Demographics Park forest vs Helena provide insight into the diversity of the communities to compare.
| Demographic | Park forest | Helena |
|---|---|---|
| Black | 72 | 1 |
| White | 17 | 88 |
| Asian | Data is updating | 1 |
| Hispanic | 7 | 5 |
| Two or More Races | 3 | 4 |
| American Indian | 1 | 1 |
Demographics Comparison: Park forest vs Helena
- A higher percentage of Black residents are in Park forest at 72% compared to 1% in Helena.
- The percentage of White residents is higher in Helena at 88% compared to 17% in Park forest.
- In Helena, the Asian population stands at 1%, greater than 0% in Park forest.
- The Hispanic community is larger in Park forest at 7% compared to 5% in Helena.
- The percentage of residents identifying as two or more races is higher in Helena at 4%, compared to 3% in Park forest.
- The percentage of American Indian residents is the same in both Park forest and Helena at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Park forest | Helena |
|---|---|---|
| Mental Health Not Good | 15.5% | 14.8% |
| Physical Health Not Good | 11.2% | 9.6% |
| Depression | 16.9% | 23.5% |
| Smoking | 15.9% | 13.1% |
| Binge Drinking | 15.8% | 21.9% |
| Obesity | 37.2% | 30.4% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Park forest vs Helena
- More residents in Park forest report poor mental health at 15.5% compared to 14.8% in Helena.
- Higher depression rates are seen in Helena at 23.5% versus 16.9% in Park forest.
- Smoking is more prevalent in Park forest at 15.9% compared to 13.1% in Helena.
- More residents engage in binge drinking in Helena at 21.9% compared to 15.8% in Park forest.
- Obesity rates are higher in Park forest at 37.2% compared to 30.4% in Helena.
- Disability percentages are higher in Park forest at 14.0% compared to 12.0% in Helena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Park forest | Helena |
|---|---|---|
| No Schooling | 2.4% (503) | 0.1% (38) |
| High School Diploma | 13.4% (2,802) | 10.0% (3,385) |
| Less than High School | 8.5% (1,787) | 4.7% (1,597) |
| Bachelor's Degree and Higher | 17.4% (3,650) | 34.3% (11,632) |
Education Levels Comparison: Park forest vs Helena
- A higher percentage of residents in Park forest have no formal schooling at 2.4% compared to 0.1% in Helena.
- A higher percentage of residents in Park forest hold a high school diploma at 13.4% compared to 10.0% in Helena.
- More residents in Park forest have less than a high school education at 8.5% compared to 4.7% in Helena.
- In Helena, a larger share of residents have a bachelor's degree or higher at 34.3% compared to 17.4% in Park 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.