Demographics details for Park forest, IL vs Houghton, MI
Population Overview
Compare main population characteristics in Park forest, IL vs Houghton, MI.
Data | Park forest | Houghton |
---|---|---|
Population | 20,954 | 37,035 |
Median Age | 37.4 years | 31.9 years |
Median Income | $58,907 | $52,736 |
Married Families | 25.0% | 35.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 8.9 | 5.5 |
Population Comparison: Park forest vs Houghton
- The population in Houghton is higher at 37,035, compared to 20,954 in Park forest.
- Residents in Park forest have a higher median age of 37.4 years compared to 31.9 years in Houghton.
- Park forest has a higher median income of $58,907 compared to $52,736 in Houghton.
- In Houghton, the percentage of married families is higher at 35.0%, compared to 25.0% in Park forest.
- Park forest has a higher poverty level at 13% compared to 10% in Houghton.
- The unemployment rate in Park forest is higher at 8.9%, compared to 5.5% in Houghton.
Demographics
Demographics Park forest vs Houghton provide insight into the diversity of the communities to compare.
Demographic | Park forest | Houghton |
---|---|---|
Black | 72 | 1 |
White | 17 | 91 |
Asian | Data is updating | 3 |
Hispanic | 7 | 2 |
Two or More Races | 3 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: Park forest vs Houghton
- A higher percentage of Black residents are in Park forest at 72% compared to 1% in Houghton.
- The percentage of White residents is higher in Houghton at 91% compared to 17% in Park forest.
- In Houghton, the Asian population stands at 3%, greater than 0% in Park forest.
- The Hispanic community is larger in Park forest at 7% compared to 2% in Houghton.
- Both Park forest and Houghton have the same percentage of residents identifying as two or more races at 3%.
- A greater percentage of American Indian residents live in Park forest at 1% compared to 0% in Houghton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Park forest | Houghton |
---|---|---|
Mental Health Not Good | 15.5% | 17.2% |
Physical Health Not Good | 11.2% | 11.3% |
Depression | 16.9% | 24.8% |
Smoking | 15.9% | 18.6% |
Binge Drinking | 15.8% | 18.9% |
Obesity | 37.2% | 35.4% |
Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Park forest vs Houghton
- In Houghton, a higher percentage report poor mental health at 17.2% compared to 15.5% in Park forest.
- Higher depression rates are seen in Houghton at 24.8% versus 16.9% in Park forest.
- Houghton has a higher smoking rate at 18.6% compared to 15.9% in Park forest.
- More residents engage in binge drinking in Houghton at 18.9% compared to 15.8% in Park forest.
- Obesity rates are higher in Park forest at 37.2% compared to 35.4% in Houghton.
- Disability percentages are higher in Park forest at 14.0% compared to 12.0% in Houghton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Park forest | Houghton |
---|---|---|
No Schooling | 2.4% (503) | 0.4% (131) |
High School Diploma | 13.4% (2,802) | 15.8% (5,837) |
Less than High School | 8.5% (1,787) | 6.3% (2,321) |
Bachelor's Degree and Higher | 17.4% (3,650) | 20.9% (7,756) |
Education Levels Comparison: Park forest vs Houghton
- A higher percentage of residents in Park forest have no formal schooling at 2.4% compared to 0.4% in Houghton.
- In Houghton, the rate of residents with high school diplomas is higher at 15.8% compared to 13.4% in Park forest.
- More residents in Park forest have less than a high school education at 8.5% compared to 6.3% in Houghton.
- In Houghton, a larger share of residents have a bachelor's degree or higher at 20.9% 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.