Demographics details for Marathon, IA vs Kansas city, MO
Population Overview
Compare main population characteristics in Marathon, IA vs Kansas city, MO.
| Data | Marathon | Kansas city |
|---|---|---|
| Population | 223 | 509,297 |
| Median Age | 46.5 years | 35.4 years |
| Median Income | $38,750 | $65,256 |
| Married Families | 42.0% | 32.0% |
| Poverty Level | 13% | 15% |
| Unemployment Rate | 3.0 | 4.3 |
Population Comparison: Marathon vs Kansas city
- The population in Kansas city is higher at 509,297, compared to 223 in Marathon.
- Residents in Marathon have a higher median age of 46.5 years compared to 35.4 years in Kansas city.
- Kansas city has a higher median income of $65,256, compared to $38,750 in Marathon.
- A higher percentage of married families is found in Marathon at 42.0% compared to 32.0% in Kansas city.
- The poverty level is higher in Kansas city at 15%, compared to 13% in Marathon.
- Kansas city has a higher unemployment rate at 4.3% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Kansas city provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Kansas city |
|---|---|---|
| Black | Data is updating | 26 |
| White | 86 | 53 |
| Asian | Data is updating | 3 |
| Hispanic | 6 | 11 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Kansas city
- In Kansas city, the percentage of Black residents is higher at 26% compared to 0% in Marathon.
- Marathon has a higher percentage of White residents at 86% compared to 53% in Kansas city.
- In Kansas city, the Asian population stands at 3%, greater than 0% in Marathon.
- Kansas city has a higher percentage of Hispanic residents at 11%, compared to 6% in Marathon.
- More residents identify as two or more races in Marathon at 8% compared to 7% in Kansas city.
- The percentage of American Indian residents is the same in both Marathon and Kansas city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Kansas city |
|---|---|---|
| Mental Health Not Good | 14.5% | 18.0% |
| Physical Health Not Good | 9.4% | 12.5% |
| Depression | 16.0% | 21.7% |
| Smoking | 17.3% | 18.7% |
| Binge Drinking | 21.5% | 18.2% |
| Obesity | 33.9% | 40.9% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Marathon vs Kansas city
- In Kansas city, a higher percentage report poor mental health at 18.0% compared to 14.5% in Marathon.
- Higher depression rates are seen in Kansas city at 21.7% versus 16.0% in Marathon.
- Kansas city has a higher smoking rate at 18.7% compared to 17.3% in Marathon.
- Binge drinking is more common in Marathon at 21.5% compared to 18.2% in Kansas city.
- Kansas city has higher obesity rates at 40.9% compared to 33.9% in Marathon.
- Disability percentages are higher in Marathon at 17.0% compared to 12.0% in Kansas city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Kansas city |
|---|---|---|
| No Schooling | 1.3% (3) | 1.0% (4,964) |
| High School Diploma | 23.8% (53) | 14.5% (73,825) |
| Less than High School | 13.9% (31) | 9.4% (47,724) |
| Bachelor's Degree and Higher | 9.0% (20) | 25.1% (128,008) |
Education Levels Comparison: Marathon vs Kansas city
- A higher percentage of residents in Marathon have no formal schooling at 1.3% compared to 1.0% in Kansas city.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 14.5% in Kansas city.
- More residents in Marathon have less than a high school education at 13.9% compared to 9.4% in Kansas city.
- In Kansas city, a larger share of residents have a bachelor's degree or higher at 25.1% 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.