Demographics details for Marathon, IA vs Indian head, PA
Population Overview
Compare main population characteristics in Marathon, IA vs Indian head, PA.
Data | Marathon | Indian head |
---|---|---|
Population | 223 | 253 |
Median Age | 46.5 years | 35.0 years |
Median Income | $38,750 | $60,000 |
Married Families | 42.0% | 45.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 3.0 | 4.0 |
Population Comparison: Marathon vs Indian head
- The population in Indian head is higher at 253, compared to 223 in Marathon.
- Residents in Marathon have a higher median age of 46.5 years compared to 35.0 years in Indian head.
- Indian head has a higher median income of $60,000, compared to $38,750 in Marathon.
- In Indian head, the percentage of married families is higher at 45.0%, compared to 42.0% in Marathon.
- Marathon has a higher poverty level at 13% compared to 12% in Indian head.
- Indian head has a higher unemployment rate at 4.0% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Indian head provide insight into the diversity of the communities to compare.
Demographic | Marathon | Indian head |
---|---|---|
Black | Data is updating | 5 |
White | 86 | 90 |
Asian | Data is updating | 1 |
Hispanic | 6 | 2 |
Two or More Races | 8 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Indian head
- In Indian head, the percentage of Black residents is higher at 5% compared to 0% in Marathon.
- The percentage of White residents is higher in Indian head at 90% compared to 86% in Marathon.
- In Indian head, the Asian population stands at 1%, greater than 0% in Marathon.
- The Hispanic community is larger in Marathon at 6% compared to 2% in Indian head.
- More residents identify as two or more races in Marathon at 8% compared to 2% in Indian head.
- The percentage of American Indian residents is the same in both Marathon and Indian head at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Marathon | Indian head |
---|---|---|
Mental Health Not Good | 14.5% | Data is updating% |
Physical Health Not Good | 9.4% | Data is updating% |
Depression | 16.0% | Data is updating% |
Smoking | 17.3% | Data is updating% |
Binge Drinking | 21.5% | Data is updating% |
Obesity | 33.9% | Data is updating% |
Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Marathon vs Indian head
- More residents in Marathon report poor mental health at 14.5% compared to 0.0% in Indian head.
- Depression is more prevalent in Marathon at 16.0% compared to 0.0% in Indian head.
- Smoking is more prevalent in Marathon at 17.3% compared to 0.0% in Indian head.
- Binge drinking is more common in Marathon at 21.5% compared to 0.0% in Indian head.
- Obesity rates are higher in Marathon at 33.9% compared to 0.0% in Indian head.
- Disability percentages are higher in Marathon at 17.0% compared to 0.0% in Indian head.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Marathon | Indian head |
---|---|---|
No Schooling | 1.3% (3) | 0.0% (Data is updating) |
High School Diploma | 23.8% (53) | 0.0% (Data is updating) |
Less than High School | 13.9% (31) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 9.0% (20) | 0.0% (Data is updating) |
Education Levels Comparison: Marathon vs Indian head
- A higher percentage of residents in Marathon have no formal schooling at 1.3% compared to 0.0% in Indian head.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 0.0% in Indian head.
- More residents in Marathon have less than a high school education at 13.9% compared to 0.0% in Indian head.
- A higher percentage of residents in Marathon hold a bachelor's degree or higher at 9.0% compared to 0.0% in Indian head.
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.