Demographics details for Marathon, IA vs Lexington, NC
Population Overview
Compare main population characteristics in Marathon, IA vs Lexington, NC.
| Data | Marathon | Lexington |
|---|---|---|
| Population | 223 | 19,679 |
| Median Age | 46.5 years | 38.6 years |
| Median Income | $38,750 | $36,868 |
| Married Families | 42.0% | 31.0% |
| Poverty Level | 13% | 15% |
| Unemployment Rate | 3.0 | 5.2 |
Population Comparison: Marathon vs Lexington
- The population in Lexington is higher at 19,679, compared to 223 in Marathon.
- Residents in Marathon have a higher median age of 46.5 years compared to 38.6 years in Lexington.
- Marathon has a higher median income of $38,750 compared to $36,868 in Lexington.
- A higher percentage of married families is found in Marathon at 42.0% compared to 31.0% in Lexington.
- The poverty level is higher in Lexington at 15%, compared to 13% in Marathon.
- Lexington has a higher unemployment rate at 5.2% compared to 3.0% in Marathon.
Demographics
Demographics Marathon vs Lexington provide insight into the diversity of the communities to compare.
| Demographic | Marathon | Lexington |
|---|---|---|
| Black | Data is updating | 31 |
| White | 86 | 38 |
| Asian | Data is updating | 4 |
| Hispanic | 6 | 16 |
| Two or More Races | 8 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marathon vs Lexington
- In Lexington, the percentage of Black residents is higher at 31% compared to 0% in Marathon.
- Marathon has a higher percentage of White residents at 86% compared to 38% in Lexington.
- In Lexington, the Asian population stands at 4%, greater than 0% in Marathon.
- Lexington has a higher percentage of Hispanic residents at 16%, compared to 6% in Marathon.
- The percentage of residents identifying as two or more races is higher in Lexington at 11%, compared to 8% in Marathon.
- The percentage of American Indian residents is the same in both Marathon and Lexington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marathon | Lexington |
|---|---|---|
| Mental Health Not Good | 14.5% | 19.2% |
| Physical Health Not Good | 9.4% | 15.5% |
| Depression | 16.0% | 25.0% |
| Smoking | 17.3% | 24.1% |
| Binge Drinking | 21.5% | 13.8% |
| Obesity | 33.9% | 42.7% |
| Disability Percentage | 17.0% | 18.0% |
Health Statistics Comparison: Marathon vs Lexington
- In Lexington, a higher percentage report poor mental health at 19.2% compared to 14.5% in Marathon.
- Higher depression rates are seen in Lexington at 25.0% versus 16.0% in Marathon.
- Lexington has a higher smoking rate at 24.1% compared to 17.3% in Marathon.
- Binge drinking is more common in Marathon at 21.5% compared to 13.8% in Lexington.
- Lexington has higher obesity rates at 42.7% compared to 33.9% in Marathon.
- There is a higher percentage of disabled individuals in Lexington at 18.0% 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 | Marathon | Lexington |
|---|---|---|
| No Schooling | 1.3% (3) | 2.7% (531) |
| High School Diploma | 23.8% (53) | 17.0% (3,355) |
| Less than High School | 13.9% (31) | 25.6% (5,036) |
| Bachelor's Degree and Higher | 9.0% (20) | 10.2% (2,009) |
Education Levels Comparison: Marathon vs Lexington
- In Lexington, a larger percentage of residents lack formal schooling at 2.7% compared to 1.3% in Marathon.
- A higher percentage of residents in Marathon hold a high school diploma at 23.8% compared to 17.0% in Lexington.
- The percentage of residents with less than a high school education is higher in Lexington at 25.6%, compared to 13.9% in Marathon.
- In Lexington, a larger share of residents have a bachelor's degree or higher at 10.2% 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.