Demographics details for Darwin, MN vs Young harris, GA
Population Overview
Compare main population characteristics in Darwin, MN vs Young harris, GA.
| Data | Darwin | Young harris |
|---|---|---|
| Population | 344 | 810 |
| Median Age | 34.8 years | 20.4 years |
| Median Income | $62,083 | $27,500 |
| Married Families | 37.0% | 19.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Darwin vs Young harris
- The population in Young harris is higher at 810, compared to 344 in Darwin.
- Residents in Darwin have a higher median age of 34.8 years compared to 20.4 years in Young harris.
- Darwin has a higher median income of $62,083 compared to $27,500 in Young harris.
- A higher percentage of married families is found in Darwin at 37.0% compared to 19.0% in Young harris.
- Darwin has a higher poverty level at 5% compared to 0% in Young harris.
- Young harris has a higher unemployment rate at 3.5% compared to 3.2% in Darwin.
Demographics
Demographics Darwin vs Young harris provide insight into the diversity of the communities to compare.
| Demographic | Darwin | Young harris |
|---|---|---|
| Black | Data is updating | 14 |
| White | 90 | 70 |
| Asian | Data is updating | Data is updating |
| Hispanic | 9 | 11 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Darwin vs Young harris
- In Young harris, the percentage of Black residents is higher at 14% compared to 0% in Darwin.
- Darwin has a higher percentage of White residents at 90% compared to 70% in Young harris.
- Both Darwin and Young harris have the same percentage of Asian residents at 0%.
- Young harris has a higher percentage of Hispanic residents at 11%, compared to 9% in Darwin.
- The percentage of residents identifying as two or more races is higher in Young harris at 3%, compared to 1% in Darwin.
- In Young harris, the percentage of American Indian residents is higher at 2%, compared to 0% in Darwin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Darwin | Young harris |
|---|---|---|
| Mental Health Not Good | 14.7% | 17.3% |
| Physical Health Not Good | 8.8% | 12.0% |
| Depression | 23.2% | 23.4% |
| Smoking | 17.5% | 17.3% |
| Binge Drinking | 22.3% | 16.9% |
| Obesity | 32.7% | 33.5% |
| Disability Percentage | 19.0% | 23.0% |
Health Statistics Comparison: Darwin vs Young harris
- In Young harris, a higher percentage report poor mental health at 17.3% compared to 14.7% in Darwin.
- Higher depression rates are seen in Young harris at 23.4% versus 23.2% in Darwin.
- Smoking is more prevalent in Darwin at 17.5% compared to 17.3% in Young harris.
- Binge drinking is more common in Darwin at 22.3% compared to 16.9% in Young harris.
- Young harris has higher obesity rates at 33.5% compared to 32.7% in Darwin.
- There is a higher percentage of disabled individuals in Young harris at 23.0% compared to 19.0% in Darwin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Darwin | Young harris |
|---|---|---|
| No Schooling | 1.7% (6) | 0.2% (2) |
| High School Diploma | 20.9% (72) | 5.7% (46) |
| Less than High School | 9.3% (32) | 4.4% (36) |
| Bachelor's Degree and Higher | 11.9% (41) | 9.3% (75) |
Education Levels Comparison: Darwin vs Young harris
- A higher percentage of residents in Darwin have no formal schooling at 1.7% compared to 0.2% in Young harris.
- A higher percentage of residents in Darwin hold a high school diploma at 20.9% compared to 5.7% in Young harris.
- More residents in Darwin have less than a high school education at 9.3% compared to 4.4% in Young harris.
- A higher percentage of residents in Darwin hold a bachelor's degree or higher at 11.9% compared to 9.3% in Young harris.
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.