Demographics details for Franklin park, IL vs Danube, MN
Population Overview
Compare main population characteristics in Franklin park, IL vs Danube, MN.
| Data | Franklin park | Danube |
|---|---|---|
| Population | 18,059 | 450 |
| Median Age | 36.5 years | 36.0 years |
| Median Income | $74,167 | $57,083 |
| Married Families | 36.0% | 41.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 5.1 | 4.2 |
Population Comparison: Franklin park vs Danube
- In Franklin park, the population is higher at 18,059, compared to 450 in Danube.
- Residents in Franklin park have a higher median age of 36.5 years compared to 36.0 years in Danube.
- Franklin park has a higher median income of $74,167 compared to $57,083 in Danube.
- In Danube, the percentage of married families is higher at 41.0%, compared to 36.0% in Franklin park.
- Franklin park has a higher poverty level at 9% compared to 5% in Danube.
- The unemployment rate in Franklin park is higher at 5.1%, compared to 4.2% in Danube.
Demographics
Demographics Franklin park vs Danube provide insight into the diversity of the communities to compare.
| Demographic | Franklin park | Danube |
|---|---|---|
| Black | 1 | Data is updating |
| White | 10 | 95 |
| Asian | 5 | Data is updating |
| Hispanic | 59 | 5 |
| Two or More Races | 23 | Data is updating |
| American Indian | 2 | Data is updating |
Demographics Comparison: Franklin park vs Danube
- A higher percentage of Black residents are in Franklin park at 1% compared to 0% in Danube.
- The percentage of White residents is higher in Danube at 95% compared to 10% in Franklin park.
- The Asian population is larger in Franklin park at 5% compared to 0% in Danube.
- The Hispanic community is larger in Franklin park at 59% compared to 5% in Danube.
- More residents identify as two or more races in Franklin park at 23% compared to 0% in Danube.
- A greater percentage of American Indian residents live in Franklin park at 2% compared to 0% in Danube.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Franklin park | Danube |
|---|---|---|
| Mental Health Not Good | 14.2% | 15.2% |
| Physical Health Not Good | 10.9% | 9.9% |
| Depression | 17.7% | 23.3% |
| Smoking | 14.4% | 18.5% |
| Binge Drinking | 18.9% | 19.6% |
| Obesity | 30.9% | 37.8% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Franklin park vs Danube
- In Danube, a higher percentage report poor mental health at 15.2% compared to 14.2% in Franklin park.
- Higher depression rates are seen in Danube at 23.3% versus 17.7% in Franklin park.
- Danube has a higher smoking rate at 18.5% compared to 14.4% in Franklin park.
- More residents engage in binge drinking in Danube at 19.6% compared to 18.9% in Franklin park.
- Danube has higher obesity rates at 37.8% compared to 30.9% in Franklin park.
- There is a higher percentage of disabled individuals in Danube at 12.0% compared to 11.0% in Franklin park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Franklin park | Danube |
|---|---|---|
| No Schooling | 2.5% (453) | 0.0% (Data is updating) |
| High School Diploma | 17.0% (3,067) | 19.3% (87) |
| Less than High School | 30.2% (5,452) | 10.4% (47) |
| Bachelor's Degree and Higher | 12.7% (2,297) | 5.8% (26) |
Education Levels Comparison: Franklin park vs Danube
- A higher percentage of residents in Franklin park have no formal schooling at 2.5% compared to 0.0% in Danube.
- In Danube, the rate of residents with high school diplomas is higher at 19.3% compared to 17.0% in Franklin park.
- More residents in Franklin park have less than a high school education at 30.2% compared to 10.4% in Danube.
- A higher percentage of residents in Franklin park hold a bachelor's degree or higher at 12.7% compared to 5.8% in Danube.
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.