Demographics details for Marathon, IA vs Waterbury, CT
Population Overview
Compare main population characteristics in Marathon, IA vs Waterbury, CT.
| Data | Marathon | Waterbury |
|---|---|---|
| Population | 223 | 115,016 |
| Median Age | 46.5 years | 36.7 years |
| Median Income | $38,750 | $51,451 |
| Married Families | 42.0% | 28.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Marathon vs Waterbury
- The population in Waterbury is higher at 115,016, compared to 223 in Marathon.
- Residents in Marathon have a higher median age of 46.5 years compared to 36.7 years in Waterbury.
- Waterbury has a higher median income of $51,451, compared to $38,750 in Marathon.
- A higher percentage of married families is found in Marathon at 42.0% compared to 28.0% in Waterbury.
- The poverty level is identical in both Marathon and Waterbury at 13%.
- Waterbury has a higher unemployment rate at 4.5% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Waterbury provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Waterbury |
|---|---|---|
| Black | Data is updating | 28 |
| White | 86 | 22 |
| Asian | Data is updating | 3 |
| Hispanic | 6 | 36 |
| Two or More Races | 8 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Waterbury
- In Waterbury, the percentage of Black residents is higher at 28% compared to 0% in Marathon.
- Marathon has a higher percentage of White residents at 86% compared to 22% in Waterbury.
- In Waterbury, the Asian population stands at 3%, greater than 0% in Marathon.
- Waterbury has a higher percentage of Hispanic residents at 36%, compared to 6% in Marathon.
- The percentage of residents identifying as two or more races is higher in Waterbury at 11%, compared to 8% in Marathon.
- The percentage of American Indian residents is the same in both Marathon and Waterbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Waterbury |
|---|---|---|
| Mental Health Not Good | 14.5% | 17.3% |
| Physical Health Not Good | 9.4% | 13.3% |
| Depression | 16.0% | 22.0% |
| Smoking | 17.3% | 21.8% |
| Binge Drinking | 21.5% | 13.7% |
| Obesity | 33.9% | 37.1% |
| Disability Percentage | 17.0% | 16.0% |
Health Statistics Comparison: Marathon vs Waterbury
- In Waterbury, a higher percentage report poor mental health at 17.3% compared to 14.5% in Marathon.
- Higher depression rates are seen in Waterbury at 22.0% versus 16.0% in Marathon.
- Waterbury has a higher smoking rate at 21.8% compared to 17.3% in Marathon.
- Binge drinking is more common in Marathon at 21.5% compared to 13.7% in Waterbury.
- Waterbury has higher obesity rates at 37.1% compared to 33.9% in Marathon.
- Disability percentages are higher in Marathon at 17.0% compared to 16.0% in Waterbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marathon | Waterbury |
|---|---|---|
| No Schooling | 1.3% (3) | 1.9% (2,221) |
| High School Diploma | 23.8% (53) | 21.4% (24,629) |
| Less than High School | 13.9% (31) | 20.7% (23,816) |
| Bachelor's Degree and Higher | 9.0% (20) | 11.1% (12,745) |
Education Levels Comparison: Marathon vs Waterbury
- In Waterbury, a larger percentage of residents lack formal schooling at 1.9% compared to 1.3% in Marathon.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 21.4% in Waterbury.
- The percentage of residents with less than a high school education is higher in Waterbury at 20.7%, compared to 13.9% in Marathon.
- In Waterbury, a larger share of residents have a bachelor's degree or higher at 11.1% 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.