Demographics details for Franklin park, IL vs Guymon, OK
Population Overview
Compare main population characteristics in Franklin park, IL vs Guymon, OK.
| Data | Franklin park | Guymon |
|---|---|---|
| Population | 18,059 | 12,378 |
| Median Age | 36.5 years | 30.8 years |
| Median Income | $74,167 | $55,526 |
| Married Families | 36.0% | 32.0% |
| Poverty Level | 9% | 11% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Franklin park vs Guymon
- In Franklin park, the population is higher at 18,059, compared to 12,378 in Guymon.
- Residents in Franklin park have a higher median age of 36.5 years compared to 30.8 years in Guymon.
- Franklin park has a higher median income of $74,167 compared to $55,526 in Guymon.
- A higher percentage of married families is found in Franklin park at 36.0% compared to 32.0% in Guymon.
- The poverty level is higher in Guymon at 11%, compared to 9% in Franklin park.
- The unemployment rate in Franklin park is higher at 5.1%, compared to 3.5% in Guymon.
Demographics
Demographics Franklin park vs Guymon provide insight into the diversity of the communities to compare.
| Demographic | Franklin park | Guymon |
|---|---|---|
| Black | 1 | 10 |
| White | 10 | 13 |
| Asian | 5 | 2 |
| Hispanic | 59 | 57 |
| Two or More Races | 23 | 16 |
| American Indian | 2 | 2 |
Demographics Comparison: Franklin park vs Guymon
- In Guymon, the percentage of Black residents is higher at 10% compared to 1% in Franklin park.
- The percentage of White residents is higher in Guymon at 13% compared to 10% in Franklin park.
- The Asian population is larger in Franklin park at 5% compared to 2% in Guymon.
- The Hispanic community is larger in Franklin park at 59% compared to 57% in Guymon.
- More residents identify as two or more races in Franklin park at 23% compared to 16% in Guymon.
- The percentage of American Indian residents is the same in both Franklin park and Guymon at 2%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin park | Guymon |
|---|---|---|
| Mental Health Not Good | 14.2% | 18.1% |
| Physical Health Not Good | 10.9% | 14.9% |
| Depression | 17.7% | 22.3% |
| Smoking | 14.4% | 20.6% |
| Binge Drinking | 18.9% | 12.8% |
| Obesity | 30.9% | 45.8% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Franklin park vs Guymon
- In Guymon, a higher percentage report poor mental health at 18.1% compared to 14.2% in Franklin park.
- Higher depression rates are seen in Guymon at 22.3% versus 17.7% in Franklin park.
- Guymon has a higher smoking rate at 20.6% compared to 14.4% in Franklin park.
- Binge drinking is more common in Franklin park at 18.9% compared to 12.8% in Guymon.
- Guymon has higher obesity rates at 45.8% compared to 30.9% in Franklin park.
- Disability percentages are higher in Franklin park at 11.0% compared to 10.0% in Guymon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin park | Guymon |
|---|---|---|
| No Schooling | 2.5% (453) | 1.8% (227) |
| High School Diploma | 17.0% (3,067) | 15.0% (1,853) |
| Less than High School | 30.2% (5,452) | 35.4% (4,377) |
| Bachelor's Degree and Higher | 12.7% (2,297) | 12.6% (1,562) |
Education Levels Comparison: Franklin park vs Guymon
- A higher percentage of residents in Franklin park have no formal schooling at 2.5% compared to 1.8% in Guymon.
- A higher percentage of residents in Franklin park hold a high school diploma at 17.0% compared to 15.0% in Guymon.
- The percentage of residents with less than a high school education is higher in Guymon at 35.4%, compared to 30.2% in Franklin park.
- A higher percentage of residents in Franklin park hold a bachelor's degree or higher at 12.7% compared to 12.6% in Guymon.
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.