Demographics details for Marathon, IA vs Sand coulee, MT
Population Overview
Compare main population characteristics in Marathon, IA vs Sand coulee, MT.
| Data | Marathon | Sand coulee |
|---|---|---|
| Population | 223 | 223 |
| Median Age | 46.5 years | 43.9 years |
| Median Income | $38,750 | $74,091 |
| Married Families | 42.0% | 54.0% |
| Poverty Level | 13% | 7% |
| Unemployment Rate | 3.0 | 2.5 |
Population Comparison: Marathon vs Sand coulee
- The population is identical in both Marathon and Sand coulee at 223.
- Residents in Marathon have a higher median age of 46.5 years compared to 43.9 years in Sand coulee.
- Sand coulee has a higher median income of $74,091, compared to $38,750 in Marathon.
- In Sand coulee, the percentage of married families is higher at 54.0%, compared to 42.0% in Marathon.
- Marathon has a higher poverty level at 13% compared to 7% in Sand coulee.
- The unemployment rate in Marathon is higher at 3.0%, compared to 2.5% in Sand coulee.
Demographics
Demographics Marathon vs Sand coulee provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Sand coulee |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 86 | 83 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 8 |
| Two or More Races | 8 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Sand coulee
- The percentage of Black residents is the same in both Marathon and Sand coulee at 0%.
- Marathon has a higher percentage of White residents at 86% compared to 83% in Sand coulee.
- In Sand coulee, the Asian population stands at 1%, greater than 0% in Marathon.
- Sand coulee has a higher percentage of Hispanic residents at 8%, compared to 6% in Marathon.
- Both Marathon and Sand coulee have the same percentage of residents identifying as two or more races at 8%.
- The percentage of American Indian residents is the same in both Marathon and Sand coulee at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Sand coulee |
|---|---|---|
| Mental Health Not Good | 14.5% | 16.3% |
| Physical Health Not Good | 9.4% | 10.8% |
| Depression | 16.0% | 24.3% |
| Smoking | 17.3% | 17.5% |
| Binge Drinking | 21.5% | 22.4% |
| Obesity | 33.9% | 34.6% |
| Disability Percentage | 17.0% | 9.0% |
Health Statistics Comparison: Marathon vs Sand coulee
- In Sand coulee, a higher percentage report poor mental health at 16.3% compared to 14.5% in Marathon.
- Higher depression rates are seen in Sand coulee at 24.3% versus 16.0% in Marathon.
- Sand coulee has a higher smoking rate at 17.5% compared to 17.3% in Marathon.
- More residents engage in binge drinking in Sand coulee at 22.4% compared to 21.5% in Marathon.
- Sand coulee has higher obesity rates at 34.6% compared to 33.9% in Marathon.
- Disability percentages are higher in Marathon at 17.0% compared to 9.0% in Sand coulee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Sand coulee |
|---|---|---|
| No Schooling | 1.3% (3) | 0.0% (Data is updating) |
| High School Diploma | 23.8% (53) | 22.0% (49) |
| Less than High School | 13.9% (31) | 16.1% (36) |
| Bachelor's Degree and Higher | 9.0% (20) | 22.9% (51) |
Education Levels Comparison: Marathon vs Sand coulee
- A higher percentage of residents in Marathon have no formal schooling at 1.3% compared to 0.0% in Sand coulee.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 22.0% in Sand coulee.
- The percentage of residents with less than a high school education is higher in Sand coulee at 16.1%, compared to 13.9% in Marathon.
- In Sand coulee, a larger share of residents have a bachelor's degree or higher at 22.9% 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.