Demographics details for Dekalb, IL vs Marathon, IA
Population Overview
Compare main population characteristics in Dekalb, IL vs Marathon, IA.
| Data | Dekalb | Marathon |
|---|---|---|
| Population | 40,220 | 223 |
| Median Age | 24.9 years | 46.5 years |
| Median Income | $47,410 | $38,750 |
| Married Families | 25.0% | 42.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 6.3 | 3.0 |
Population Comparison: Dekalb vs Marathon
- In Dekalb, the population is higher at 40,220, compared to 223 in Marathon.
- The median age in Marathon is higher at 46.5 years, compared to 24.9 years in Dekalb.
- Dekalb has a higher median income of $47,410 compared to $38,750 in Marathon.
- In Marathon, the percentage of married families is higher at 42.0%, compared to 25.0% in Dekalb.
- The poverty level is identical in both Dekalb and Marathon at 13%.
- The unemployment rate in Dekalb is higher at 6.3%, compared to 3.0% in Marathon.
Demographics
Demographics Dekalb vs Marathon provide insight into the diversity of the communities to compare.
| Demographic | Dekalb | Marathon |
|---|---|---|
| Black | 15 | Data is updating |
| White | 54 | 86 |
| Asian | 5 | Data is updating |
| Hispanic | 16 | 6 |
| Two or More Races | 9 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dekalb vs Marathon
- A higher percentage of Black residents are in Dekalb at 15% compared to 0% in Marathon.
- The percentage of White residents is higher in Marathon at 86% compared to 54% in Dekalb.
- The Asian population is larger in Dekalb at 5% compared to 0% in Marathon.
- The Hispanic community is larger in Dekalb at 16% compared to 6% in Marathon.
- More residents identify as two or more races in Dekalb at 9% compared to 8% in Marathon.
- A greater percentage of American Indian residents live in Dekalb at 1% compared to 0% in Marathon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dekalb | Marathon |
|---|---|---|
| Mental Health Not Good | 16.6% | 14.5% |
| Physical Health Not Good | 11.4% | 9.4% |
| Depression | 21.2% | 16.0% |
| Smoking | 16.6% | 17.3% |
| Binge Drinking | 16.5% | 21.5% |
| Obesity | 39.0% | 33.9% |
| Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Dekalb vs Marathon
- More residents in Dekalb report poor mental health at 16.6% compared to 14.5% in Marathon.
- Depression is more prevalent in Dekalb at 21.2% compared to 16.0% in Marathon.
- Marathon has a higher smoking rate at 17.3% compared to 16.6% in Dekalb.
- More residents engage in binge drinking in Marathon at 21.5% compared to 16.5% in Dekalb.
- Obesity rates are higher in Dekalb at 39.0% compared to 33.9% in Marathon.
- There is a higher percentage of disabled individuals in Marathon at 17.0% compared to 10.0% in Dekalb.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dekalb | Marathon |
|---|---|---|
| No Schooling | 1.3% (531) | 1.3% (3) |
| High School Diploma | 9.4% (3,786) | 23.8% (53) |
| Less than High School | 8.3% (3,334) | 13.9% (31) |
| Bachelor's Degree and Higher | 19.5% (7,828) | 9.0% (20) |
Education Levels Comparison: Dekalb vs Marathon
- The percentage of residents with no formal schooling is the same in both Dekalb and Marathon at 1.3%.
- In Marathon, the rate of residents with high school diplomas is higher at 23.8% compared to 9.4% in Dekalb.
- The percentage of residents with less than a high school education is higher in Marathon at 13.9%, compared to 8.3% in Dekalb.
- A higher percentage of residents in Dekalb hold a bachelor's degree or higher at 19.5% compared to 9.0% in Marathon.
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.