Demographics details for Kellogg, ID vs Marathon, IA
Population Overview
Compare main population characteristics in Kellogg, ID vs Marathon, IA.
| Data | Kellogg | Marathon |
|---|---|---|
| Population | 2,454 | 223 |
| Median Age | 36.1 years | 46.5 years |
| Median Income | $38,316 | $38,750 |
| Married Families | 26.0% | 42.0% |
| Poverty Level | 14% | 13% |
| Unemployment Rate | 5.0 | 3.0 |
Population Comparison: Kellogg vs Marathon
- In Kellogg, the population is higher at 2,454, compared to 223 in Marathon.
- The median age in Marathon is higher at 46.5 years, compared to 36.1 years in Kellogg.
- Marathon has a higher median income of $38,750, compared to $38,316 in Kellogg.
- In Marathon, the percentage of married families is higher at 42.0%, compared to 26.0% in Kellogg.
- Kellogg has a higher poverty level at 14% compared to 13% in Marathon.
- The unemployment rate in Kellogg is higher at 5.0%, compared to 3.0% in Marathon.
Demographics
Demographics Kellogg vs Marathon provide insight into the diversity of the communities to compare.
| Demographic | Kellogg | Marathon |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 87 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 6 |
| Two or More Races | 5 | 8 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Kellogg vs Marathon
- The percentage of Black residents is the same in both Kellogg and Marathon at 0%.
- Kellogg has a higher percentage of White residents at 87% compared to 86% in Marathon.
- Both Kellogg and Marathon have the same percentage of Asian residents at 0%.
- Marathon has a higher percentage of Hispanic residents at 6%, compared to 4% in Kellogg.
- The percentage of residents identifying as two or more races is higher in Marathon at 8%, compared to 5% in Kellogg.
- A greater percentage of American Indian residents live in Kellogg at 4% compared to 0% in Marathon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kellogg | Marathon |
|---|---|---|
| Mental Health Not Good | 19.3% | 14.5% |
| Physical Health Not Good | 15.0% | 9.4% |
| Depression | 25.3% | 16.0% |
| Smoking | 23.4% | 17.3% |
| Binge Drinking | 15.4% | 21.5% |
| Obesity | 39.3% | 33.9% |
| Disability Percentage | 21.0% | 17.0% |
Health Statistics Comparison: Kellogg vs Marathon
- More residents in Kellogg report poor mental health at 19.3% compared to 14.5% in Marathon.
- Depression is more prevalent in Kellogg at 25.3% compared to 16.0% in Marathon.
- Smoking is more prevalent in Kellogg at 23.4% compared to 17.3% in Marathon.
- More residents engage in binge drinking in Marathon at 21.5% compared to 15.4% in Kellogg.
- Obesity rates are higher in Kellogg at 39.3% compared to 33.9% in Marathon.
- Disability percentages are higher in Kellogg at 21.0% compared to 17.0% in Marathon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kellogg | Marathon |
|---|---|---|
| No Schooling | 0.9% (21) | 1.3% (3) |
| High School Diploma | 13.7% (335) | 23.8% (53) |
| Less than High School | 22.2% (544) | 13.9% (31) |
| Bachelor's Degree and Higher | 8.2% (201) | 9.0% (20) |
Education Levels Comparison: Kellogg vs Marathon
- In Marathon, a larger percentage of residents lack formal schooling at 1.3% compared to 0.9% in Kellogg.
- In Marathon, the rate of residents with high school diplomas is higher at 23.8% compared to 13.7% in Kellogg.
- More residents in Kellogg have less than a high school education at 22.2% compared to 13.9% in Marathon.
- In Marathon, a larger share of residents have a bachelor's degree or higher at 9.0% compared to 8.2% in Kellogg.
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.