Demographics details for Cullman, AL vs Marathon, IA
Population Overview
Compare main population characteristics in Cullman, AL vs Marathon, IA.
| Data | Cullman | Marathon |
|---|---|---|
| Population | 19,251 | 223 |
| Median Age | 42.0 years | 46.5 years |
| Median Income | $59,982 | $38,750 |
| Married Families | 39.0% | 42.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 4.3 | 3.0 |
Population Comparison: Cullman vs Marathon
- In Cullman, the population is higher at 19,251, compared to 223 in Marathon.
- The median age in Marathon is higher at 46.5 years, compared to 42.0 years in Cullman.
- Cullman has a higher median income of $59,982 compared to $38,750 in Marathon.
- In Marathon, the percentage of married families is higher at 42.0%, compared to 39.0% in Cullman.
- The poverty level is higher in Marathon at 13%, compared to 12% in Cullman.
- The unemployment rate in Cullman is higher at 4.3%, compared to 3.0% in Marathon.
Demographics
Demographics Cullman vs Marathon provide insight into the diversity of the communities to compare.
| Demographic | Cullman | Marathon |
|---|---|---|
| Black | 1 | Data is updating |
| White | 92 | 86 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 6 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullman vs Marathon
- A higher percentage of Black residents are in Cullman at 1% compared to 0% in Marathon.
- Cullman has a higher percentage of White residents at 92% compared to 86% in Marathon.
- The Asian population is larger in Cullman at 1% compared to 0% in Marathon.
- Marathon has a higher percentage of Hispanic residents at 6%, compared to 2% in Cullman.
- The percentage of residents identifying as two or more races is higher in Marathon at 8%, compared to 4% in Cullman.
- The percentage of American Indian residents is the same in both Cullman and Marathon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullman | Marathon |
|---|---|---|
| Mental Health Not Good | 18.5% | 14.5% |
| Physical Health Not Good | 12.6% | 9.4% |
| Depression | 24.9% | 16.0% |
| Smoking | 18.2% | 17.3% |
| Binge Drinking | 16.4% | 21.5% |
| Obesity | 37.5% | 33.9% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Cullman vs Marathon
- More residents in Cullman report poor mental health at 18.5% compared to 14.5% in Marathon.
- Depression is more prevalent in Cullman at 24.9% compared to 16.0% in Marathon.
- Smoking is more prevalent in Cullman at 18.2% compared to 17.3% in Marathon.
- More residents engage in binge drinking in Marathon at 21.5% compared to 16.4% in Cullman.
- Obesity rates are higher in Cullman at 37.5% compared to 33.9% in Marathon.
- There is a higher percentage of disabled individuals in Marathon at 17.0% compared to 14.0% in Cullman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullman | Marathon |
|---|---|---|
| No Schooling | 0.7% (130) | 1.3% (3) |
| High School Diploma | 13.6% (2,614) | 23.8% (53) |
| Less than High School | 13.0% (2,512) | 13.9% (31) |
| Bachelor's Degree and Higher | 22.1% (4,253) | 9.0% (20) |
Education Levels Comparison: Cullman vs Marathon
- In Marathon, a larger percentage of residents lack formal schooling at 1.3% compared to 0.7% in Cullman.
- In Marathon, the rate of residents with high school diplomas is higher at 23.8% compared to 13.6% in Cullman.
- The percentage of residents with less than a high school education is higher in Marathon at 13.9%, compared to 13.0% in Cullman.
- A higher percentage of residents in Cullman hold a bachelor's degree or higher at 22.1% 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.